234 results on '"Mathew SJ"'
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2. Back Cover
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Mathew SJ, P. T.
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- 2020
3. Selected Bibliography
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Mathew SJ, P. T.
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4. The Structure of Lived Catholicism
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Mathew SJ, P. T.
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- 2020
5. Glossary
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Mathew SJ, P. T.
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6. Conclusion
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Mathew SJ, P. T.
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7. Neithal Catholicism as Lived Religion
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Mathew SJ, P. T.
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- 2020
8. Preface
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Mathew SJ, P. T.
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- 2020
9. Lived Religion in Times of Crisis
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Mathew SJ, P. T.
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10. The Religious Roots of the Fisher People
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Mathew SJ, P. T.
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- 2020
11. The Molding of Neithal Catholicism
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Mathew SJ, P. T.
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- 2020
12. A Note on Orthography
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Mathew SJ, P. T.
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- 2020
13. Marine Fisheries and the Traditional Fisherfolk
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Mathew SJ, P. T.
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- 2020
14. Neithal Cosmology: Worldviews in Conflict?
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Mathew SJ, P. T.
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- 2020
15. Learning from the Rituals of Coastal Life
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Mathew SJ, P. T.
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- 2020
16. List of Images
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Mathew SJ, P. T.
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17. List of Figures
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Mathew SJ, P. T.
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- 2020
18. Title Page, Copyright
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Mathew SJ, P. T.
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- 2020
19. Sepsis at ICU admission does not decrease 30-day survival in very old patients : a post-hoc analysis of the VIP1 multinational cohort study
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Ibarz, Mercedes, Boumendil, Ariane, Haas, Lenneke E M, Irazabal, Marian, Flaatten, Hans, de Lange, Dylan W, Morandi, Alessandro, Andersen, Finn H, Bertolini, Guido, Cecconi, Maurizio, Christensen, Steffen, Faraldi, Loredana, Fjølner, Jesper, Jung, Christian, Marsh, Brian, Moreno, Rui, Oeyen, Sandra, Öhman, Christina Agwald, Bollen Pinto, Bernardo, Soliman, Ivo W, Szczeklik, Wojciech, Valentin, Andreas, Watson, Ximena, Zaferidis, Tilemachos, Guidet, Bertrand, Artigas, Antonio, Schmutz R, Wimmer F, Eller P, Joannidis M, De Buysscher P, De Neve N, Oeyen S, Swinnen W, Bollen Pinto B, Abraham P, Hergafi L, Schefold JC, Biskup E, Piza P, Taliadoros I, Fjølner J, Dey N, Sølling C, Rasmussen BS, Christensen S, Forceville X, Besch G, Mentec H, Michel P, Mateu P, Vettoretti L, Bourenne J, Marin N, Guillot M, Aissaoui N, Goulenok C, Thieulot-Rolin N, Messika J, Lamhaut L, Guidet B, Charron C, Lauten A, Sacher AL, Brenner T, Franz M, Bloos F, Ebelt H, Schaller SJ, Fuest K, Rabe C, Dieck T, Steiner S, Graf T, Nia AM, Jung C, Janosi RA, Meybohm P, Simon P, Utzolino S, Rahmel T, Barth E, Schuster M, Aidoni Z, Aloizos S, Tasioudis P, Lampiri K, Zisopoulou V, Ravani I, Pagaki E, Antoniou A, Katsoulas TA, Kounougeri A, Marinakis G, Tsimpoukas F, Spyropoulou A, Zygoulis P, Kyparissi A, Gupta M, Gurjar M, Maji IM, Hayes I, Marsh B, Kelly Y, Westbrook A, Fitzpatrick G, Maheshwari D, Motherway C, Negri G, Spadaro S, Nattino G, Pedeferri M, Boscolo A, Rossi S, Calicchio G, Cubattoli L, Di Lascio G, Barbagallo M, Berruto F, Codazzi D, Bottazzi A, Fumagalli P, Negro G, Lupi G, Savelli F, Vulcano GA, Fumagalli R, Marudi A, Lefons U, Lembo R, Babini M, Paggioro A, Parrini V, Zaccaria M, Clementi S, Gigliuto C, Facondini F, Pastorini S, Munaron S, Calamai I, Bocchi A, Adorni A, Bocci MG, Cortegiani A, Casalicchio T, Melia S, Graziani E, Barattini M, Brizio E, Rossi M, Hahn M, Flattens H, Kemmerer N, Streiter HF, Dybwik K, Legernaes T, Klepstad P, Olaussen EB, Olsen KI, Brresen OM, Bjorsvik G, Andersen FH, Maini S, Fehrle L, Czuczwar M, Krawczyk P, Ziętkiewicz M, Nowak ŁR, Kotfis K, Cwyl K, Gajdosz R, Biernawska J, Bohatyrewicz R, Gawda R, Grudzień P, Nasiłowski P, Popek N, Cyrankiewicz W, Wawrzyniak K, Wnuk M, Maciejewski D, Studzińska D, Żukowski M, Bernas S, Piechota M, Szczeklik W, Nowak-Kózka I, Fronczek J, Serwa M, Machała W, Stefaniak J, Wujtewicz M, Szymkowiak M, Adamik B, Polok K, Włudarczyk A, Górka J, Kozera N, Goździk W, Catorze N, Branco MC, Barros I, Barros N, Krystopchuk A, Honrado T, Sousa C, Munoz F, Rebelo M, Gomes R, Nunes J, Dias C, Fernandes AM, Petrisor C, Constantin B, Belskiy V, Boskholov B, Rodriguez E, Rebollo S, Aguilar G, Masdeu G, Jaimes MI, Mira ÁP, Bodi MA, Barea Mendoza JA, López-Cuenca S, Guzman MH, Rico-Feijoo J, Ibarz M, Alvarez JT, Kawati R, Sivik J, Nauska J, Smole D, Parenmark F, Lyrén J, Rockstrohm K, Rydén S, Spångfors M, Strinnholm M, Walther S, De Geer L, Nordlund P, Pålsson S, Zetterquist H, Nilsson A, Thiringer K, Jungner M, Bark B, Nordling B, Sköld H, Brorsson C, Persson S, Bergström A, Berkius J, Holmström J, van Dijk I, Haas LEM, Ramnarain D, Jansen T, Nooteboom F, van der Voort PHJ, de Lange D, Dieperink W, de Waard MC, de Smet AGE, Bormans L, Dormans T, Dempsey G, Mathew SJ, Raj AS, Grecu I, Cupitt J, Lawton T, Clark R, Popescu M, Spittle N, Faulkner M, Cowton A, Elloway E, Williams P, Reay M, Chukkambotla S, Kumar R, Al-Subaie N, Kent L, Tamm T, Kajtor I, Burns K, Pugh R, Ostermann M, Kam E, Bowyer H, Smith N, Templeton M, Henning J, Goffin K, Kapoor R, Laha S, Chilton P, Khaliq W, Crayford A, Coetzee S, Tait M, Stoker W, Gimenez M, Pope A, Camsooksai J, Pogson D, Quigley K, Ritzema J, Hormis A, Boulanger C, Balasubramaniam M, Vamplew L, Burt K, Martin D, Craig J, Prowle J, Doyle N, Shelton J, Scott C, Donnison P, Shelton S, Frey C, Ryan C, Spray D, Barnes V, Barnes K, Ridgway S, Saha R, Clark T, Wood J, Bolger C, Bassford C, Lewandowski J, Zhao X, Humphreys S, Dowling S, Richardson N, Burtenshaw A, Stevenson C, Wilcock D, Nalapko Y., Ibarz, M, Boumendil, A, Haas, L, Irazabal, M, Flaatten, H, de Lange, D, Morandi, A, Andersen, F, Bertolini, G, Cecconi, M, Christensen, S, Faraldi, L, Fjolner, J, Jung, C, Marsh, B, Moreno, R, Oeyen, S, Ohman, C, Bollen Pinto, B, Soliman, I, Szczeklik, W, Valentin, A, Watson, X, Zaferidis, T, Guidet, B, Artigas, A, Schmutz, R, Wimmer, F, Eller, P, Joannidis, M, De Buysscher, P, De Neve, N, Swinnen, W, Abraham, P, Hergafi, L, Schefold, J, Biskup, E, Piza, P, Taliadoros, I, Dey, N, Solling, C, Rasmussen, B, Forceville, X, Besch, G, Mentec, H, Michel, P, Mateu, P, Vettoretti, L, Bourenne, J, Marin, N, Guillot, M, Aissaoui, N, Goulenok, C, Thieulot-Rolin, N, Messika, J, Lamhaut, L, Charron, C, Lauten, A, Sacher, A, Brenner, T, Franz, M, Bloos, F, Ebelt, H, Schaller, S, Fuest, K, Rabe, C, Dieck, T, Steiner, S, Graf, T, Nia, A, Janosi, R, Meybohm, P, Simon, P, Utzolino, S, Rahmel, T, Barth, E, Schuster, M, Aidoni, Z, Aloizos, S, Tasioudis, P, Lampiri, K, Zisopoulou, V, Ravani, I, Pagaki, E, Antoniou, A, Katsoulas, T, Kounougeri, A, Marinakis, G, Tsimpoukas, F, Spyropoulou, A, Zygoulis, P, Kyparissi, A, Gupta, M, Gurjar, M, Maji, I, Hayes, I, Kelly, Y, Westbrook, A, Fitzpatrick, G, Maheshwari, D, Motherway, C, Negri, G, Spadaro, S, Nattino, G, Pedeferri, M, Boscolo, A, Rossi, S, Calicchio, G, Cubattoli, L, Di Lascio, G, Barbagallo, M, Berruto, F, Codazzi, D, Bottazzi, A, Fumagalli, P, Negro, G, Lupi, G, Savelli, F, Vulcano, G, Fumagalli, R, Marudi, A, Lefons, U, Lembo, R, Babini, M, Paggioro, A, Parrini, V, Zaccaria, M, Clementi, S, Gigliuto, C, Facondini, F, Pastorini, S, Munaron, S, Calamai, I, Bocchi, A, Adorni, A, Bocci, M, Cortegiani, A, Casalicchio, T, Melia, S, Graziani, E, Barattini, M, Brizio, E, Rossi, M, Hahn, M, Flattens, H, Kemmerer, N, Streiter, H, Dybwik, K, Legernaes, T, Klepstad, P, Olaussen, E, Olsen, K, Brresen, O, Bjorsvik, G, Maini, S, Fehrle, L, Krawczyk, P, Zietkiewicz, M, Nowak, L, Kotfis, K, Cwyl, K, Gajdosz, R, Biernawska, J, Bohatyrewicz, R, Gawda, R, Grudzien, P, Nasilowski, P, Popek, N, Cyrankiewicz, W, Wawrzyniak, K, Wnuk, M, Maciejewski, D, Studzinska, D, Zukowski, M, Bernas, S, Piechota, M, Nowak-Kozka, I, Fronczek, J, Serwa, M, Stefaniak, J, Wujtewicz, M, Szymkowiak, M, Adamik, B, Polok, K, Wludarczyk, A, Gorka, J, Kozera, N, Gozdzik, W, Catorze, N, Branco, M, Barros, I, Barros, N, Krystopchuk, A, Honrado, T, Sousa, C, Munoz, F, Rebelo, M, Gomes, R, Nunes, J, Dias, C, Fernandes, A, Petrisor, C, Constantin, B, Belskiy, V, Boskholov, B, Rodriguez, E, Rebollo, S, Aguilar, G, Masdeu, G, Jaimes, M, Mira, A, Bodi, M, Barea Mendoza, J, Lopez-Cuenca, S, Guzman, M, Rico-Feijoo, J, Alvarez, J, Kawati, R, Sivik, J, Nauska, J, Parenmark, F, Lyren, J, Rockstrohm, K, Ryden, S, Spangfors, M, Strinnholm, M, Walther, S, De Geer, L, Nordlund, P, Palsson, S, Zetterquist, H, Nilsson, A, Thiringer, K, Jungner, M, Bark, B, Nordling, B, Skold, H, Brorsson, C, Persson, S, Bergstrom, A, Berkius, J, Holmstrom, J, van Dijk, I, Ramnarain, D, Jansen, T, Nooteboom, F, van der Voort, P, Dieperink, W, de Waard, M, de Smet, A, Bormans, L, Dormans, T, Dempsey, G, Mathew, S, Raj, A, Grecu, I, Cupitt, J, Lawton, T, Clark, R, Popescu, M, Spittle, N, Faulkner, M, Cowton, A, Elloway, E, Williams, P, Reay, M, Chukkambotla, S, Kumar, R, Al-Subaie, N, Kent, L, Tamm, T, Kajtor, I, Burns, K, Pugh, R, Ostermann, M, Kam, E, Bowyer, H, Smith, N, Templeton, M, Henning, J, Goffin, K, Kapoor, R, Laha, S, Chilton, P, Khaliq, W, Crayford, A, Coetzee, S, Tait, M, Stoker, W, Gimenez, M, Pope, A, Camsooksai, J, Pogson, D, Quigley, K, Ritzema, J, Hormis, A, Boulanger, C, Balasubramaniam, M, Vamplew, L, Burt, K, Martin, D, Craig, J, Prowle, J, Doyle, N, Shelton, J, Scott, C, Donnison, P, Shelton, S, Frey, C, Ryan, C, Spray, D, Barnes, V, Barnes, K, Ridgway, S, Saha, R, Clark, T, Wood, J, Bolger, C, Bassford, C, Lewandowski, J, Zhao, X, Humphreys, S, Dowling, S, Richardson, N, Burtenshaw, A, Stevenson, C, Wilcock, D, Nalapko, Y, Ibarz, Mercede, Boumendil, Ariane, Haas, Lenneke E M, Irazabal, Marian, Flaatten, Han, de Lange, Dylan W, Morandi, Alessandro, Andersen, Finn H, Bertolini, Guido, Cecconi, Maurizio, Christensen, Steffen, Faraldi, Loredana, Fjølner, Jesper, Jung, Christian, Marsh, Brian, Moreno, Rui, Oeyen, Sandra, Öhman, Christina Agwald, Bollen Pinto, Bernardo, Soliman, Ivo W, Szczeklik, Wojciech, Valentin, Andrea, Watson, Ximena, Zaferidis, Tilemacho, Guidet, Bertrand, Artigas, Antonio, Schmutz R, Wimmer F, Eller P, Joannidis M, De Buysscher P, De Neve N, Oeyen S, Swinnen W, Bollen Pinto B, Abraham P, Hergafi L, Schefold JC, Biskup E, Piza P, Taliadoros I, Fjølner J, Dey N, Sølling C, Rasmussen BS, Christensen S, Forceville X, Besch G, Mentec H, Michel P, Mateu P, Michel P, Vettoretti L, Bourenne J, Marin N, Guillot M, Aissaoui N, Goulenok C, Thieulot-Rolin N, Messika J, Lamhaut L, Guidet B, Charron C, Lauten A, Sacher AL, Brenner T, Franz M, Bloos F, Ebelt H, Schaller SJ, Fuest K, Rabe C, Dieck T, Steiner S, Graf T, Nia AM, Jung C, Janosi RA, Meybohm P, Simon P, Utzolino S, Rahmel T, Barth E, Jung C, Schuster M, Aidoni Z, Aloizos S, Tasioudis P, Lampiri K, Zisopoulou V, Ravani I, Pagaki E, Antoniou A, Katsoulas TA, Kounougeri A, Marinakis G, Tsimpoukas F, Spyropoulou A, Zygoulis P, Kyparissi A, Gupta M, Gurjar M, Maji IM, Hayes I, Marsh B, Kelly Y, Westbrook A, Fitzpatrick G, Maheshwari D, Motherway C, Negri G, Spadaro S, Nattino G, Pedeferri M, Boscolo A, Rossi S, Calicchio G, Cubattoli L, Di Lascio G, Barbagallo M, Berruto F, Codazzi D, Bottazzi A, Fumagalli P, Negro G, Lupi G, Savelli F, Vulcano GA, Fumagalli R, Marudi A, Lefons U, Lembo R, Babini M, Paggioro A, Parrini V, Zaccaria M, Clementi S, Gigliuto C, Facondini F, Pastorini S, Munaron S, Calamai I, Bocchi A, Adorni A, Bocci MG, Cortegiani A, Casalicchio T, Melia S, Graziani E, Barattini M, Brizio E, Rossi M, Hahn M, Flattens H, Kemmerer N, Streiter HF, Dybwik K, Legernaes T, Klepstad P, Olaussen EB, Olsen KI, Brresen OM, Bjorsvik G, Andersen FH, Maini S, Fehrle L, Czuczwar M, Krawczyk P, Ziętkiewicz M, Nowak ŁR, Kotfis K, Cwyl K, Gajdosz R, Biernawska J, Bohatyrewicz R, Gawda R, Grudzień P, Nasiłowski P, Popek N, Cyrankiewicz W, Wawrzyniak K, Wnuk M, Maciejewski D, Studzińska D, Żukowski M, Bernas S, Piechota M, Szczeklik W, Nowak-Kózka I, Fronczek J, Serwa M, Machała W, Stefaniak J, Wujtewicz M, Szymkowiak M, Adamik B, Polok K, Włudarczyk A, Górka J, Kozera N, Goździk W, Catorze N, Branco MC, Barros I, Barros N, Krystopchuk A, Honrado T, Sousa C, Munoz F, Rebelo M, Gomes R, Nunes J, Dias C, Fernandes AM, Petrisor C, Constantin B, Belskiy V, Boskholov B, Rodriguez E, Rebollo S, Aguilar G, Masdeu G, Jaimes MI, Mira ÁP, Bodi MA, Barea Mendoza JA, López-Cuenca S, Guzman MH, Rico-Feijoo J, Ibarz M, Alvarez JT, Kawati R, Sivik J, Nauska J, Smole D, Parenmark F, Lyrén J, Rockstrohm K, Rydén S, Spångfors M, Strinnholm M, Walther S, De Geer L, Nordlund P, Pålsson S, Zetterquist H, Nilsson A, Thiringer K, Jungner M, Bark B, Nordling B, Sköld H, Brorsson C, Persson S, Bergström A, Berkius J, Holmström J, van Dijk I, Haas LEM, Ramnarain D, Jansen T, Nooteboom F, van der Voort PHJ, de Lange D, Dieperink W, de Waard MC, de Smet AGE, Bormans L, Dormans T, Dempsey G, Mathew SJ, Raj AS, Grecu I, Cupitt J, Lawton T, Clark R, Popescu M, Spittle N, Faulkner M, Cowton A, Elloway E, Williams P, Reay M, Chukkambotla S, Kumar R, Al-Subaie N, Kent L, Tamm T, Kajtor I, Burns K, Pugh R, Ostermann M, Kam E, Bowyer H, Smith N, Templeton M, Henning J, Goffin K, Kapoor R, Laha S, Chilton P, Khaliq W, Crayford A, Coetzee S, Tait M, Stoker W, Gimenez M, Pope A, Camsooksai J, Pogson D, Quigley K, Ritzema J, Hormis A, Boulanger C, Balasubramaniam M, Vamplew L, Burt K, Martin D, Grecu I, Craig J, Prowle J, Doyle N, Shelton J, Scott C, Donnison P, Shelton S, Frey C, Ryan C, Spray D, Ryan C, Barnes V, Barnes K, Ridgway S, Saha R, Kent L, Clark T, Wood J, Bolger C, Bassford C, Cowton A, Lewandowski J, Zhao X, Humphreys S, Dowling S, Richardson N, Burtenshaw A, Stevenson C, Wilcock D, Nalapko Y., Critical Care, and Critical care, Anesthesiology, Peri-operative and Emergency medicine (CAPE)
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INTENSIVE-CARE-UNIT ,Survival ,HSJ UCI ,Critical Care and Intensive Care Medicine ,survival analysis ,law.invention ,sepsis ,Severity of illne ,0302 clinical medicine ,LONG-TERM OUTCOMES ,overlevingsanalyse ,law ,Medicine and Health Sciences ,EPIDEMIOLOGY ,Intensive care ,Mortality ,Outcome ,Sepsis ,Severity of illness ,Very old ,030212 general & internal medicine ,Prospective cohort study ,ELDERLY-PATIENTS ,ddc:617 ,PATIENTS AGED 80 ,lcsh:Medical emergencies. Critical care. Intensive care. First aid ,Very Old ,Intensive care unit ,SOFA score ,medicine.symptom ,CRITICALLY-ILL PATIENTS ,WITHDRAWAL ,hormones, hormone substitutes, and hormone antagonists ,medicine.medical_specialty ,Sepsi ,elderly patients ,NO ,03 medical and health sciences ,sterfte ,Internal medicine ,medicine ,FRAILTY ,business.industry ,Septic shock ,Research ,SEPTIC SHOCK ,Organ dysfunction ,Intensive Care ,030208 emergency & critical care medicine ,lcsh:RC86-88.9 ,oudere patiënten ,medicine.disease ,business - Abstract
BackgroundThe number of intensive care patients aged ≥ 80 years (Very old Intensive Care Patients; VIPs) is growing. VIPs have high mortality and morbidity and the benefits of ICU admission are frequently questioned. Sepsis incidence has risen in recent years and identification of outcomes is of considerable public importance. We aimed to determine whether VIPs admitted for sepsis had different outcomes than those admitted for other acute reasons and identify potential prognostic factors for 30-day survival.ResultsThis prospective study included VIPs with Sequential Organ Failure Assessment (SOFA) scores ≥ 2 acutely admitted to 307 ICUs in 21 European countries. Of 3869 acutely admitted VIPs, 493 (12.7%) [53.8% male, median age 83 (81–86) years] were admitted for sepsis. Sepsis was defined according to clinical criteria; suspected or demonstrated focus of infection and SOFA score ≥ 2 points. Compared to VIPs admitted for other acute reasons, VIPs admitted for sepsis were younger, had a higher SOFA score (9 vs. 7,p p p p = 0.02]. Frailty was similar in both groups. Unadjusted 30-day survival was not significantly different between the two groups. After adjustment for age, gender, frailty, and SOFA score, sepsis had no impact on 30-day survival [HR 0.99 (95% CI 0.86–1.15),p = 0.917]. Inverse-probability weight (IPW)-adjusted survival curves for the first 30 days after ICU admission were similar for acute septic and non-septic patients [HR: 1.00 (95% CI 0.87–1.17),p = 0.95]. A matched-pair analysis in which patients with sepsis were matched with two control patients of the same gender with the same age, SOFA score, and level of frailty was also performed. A Cox proportional hazard regression model stratified on the matched pairs showed that 30-day survival was similar in both groups [57.2% (95% CI 52.7–60.7) vs. 57.1% (95% CI 53.7–60.1),p = 0.85].ConclusionsAfter adjusting for organ dysfunction, sepsis at admission was not independently associated with decreased 30-day survival in this multinational study of 3869 VIPs. Age, frailty, and SOFA score were independently associated with survival.
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- 2020
20. Between the Sea and the Sky: Lived Religion on the Sea Shore
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Mathew SJ, P. T. and Mathew SJ, P. T.
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- 2020
21. Levels of Processing
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Fr. Sanil Mathew Sj, Dipal Patel, and Mehul Jadav
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Food science ,Psychology ,Levels-of-processing effect - Abstract
The aim of this experiment was to investigate the impact of levels of processing (Independent Variable) on our memory (Dependent Variable). We hypothesized to find that a deeper level of processing lead to a better memory and in turn, greater recall. The experiment controlled variables such as environmental conditions, age of the target population and educational background of the participants. The experiment uses the Independent Measures design and the participants are a convenience sample of teenagers. We reduced Practice Effect and Fatigue Effect by using the Single-Blind Technique. The results proved the hypothesis: Semantic encoding lead to greater retention and a deeper trace of memory whereas Structural encoding lead to a shallow processing of memory. These results are replicated in Craik and Lockhart‟s (1972), Levels of Processing model. The researches done by Hyde and Jenkins (1973) and Craik and Tulving (1975) also prove the same results: deeper levels of processing lead to better recall. The Mann-Whitney U test also made a clear distinction in the number of words recalled due to deep and shallow processing. The study also raised some limitations such as generalizations, rehearsal, ecological validity and others. In totality, the experiment effectively manipulated variables and reproduced accurate results.
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- 2015
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22. A pilot study of the effects of chronic paroxetine administration on hippocampal N-acetylaspartate in generalized anxiety disorder
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Mathew, SJ, primary, Price, RB, additional, Shungu, DC, additional, Mao, X., additional, Smith, ELP, additional, Amiel, JM, additional, and Coplan, JD, additional
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- 2009
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23. Dendritic cell-based vaccines: barriers and opportunities.
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Cintolo JA, Datta J, Mathew SJ, Czerniecki BJ, Cintolo, Jessica A, Datta, Jashodeep, Mathew, Sarah J, and Czerniecki, Brian J
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Dendritic cells (DCs) have several characteristics that make them an ideal vehicle for tumor vaccines, and with the first US FDA-approved DC-based vaccine in use for the treatment of prostate cancer, this technology has become a promising new therapeutic option. However, DC-based vaccines face several barriers that have limited their effectiveness in clinical trials. A major barrier includes the activation state of the DC. Both DC lineage and maturation signals must be selected to optimize the antitumor response and overcome immunosuppressive effects of the tumor microenvironment. Another barrier to successful vaccination is the selection of target antigens that will activate both CD8(+) and CD4(+) T cells in a potent, immune-specific manner. Finally, tumor progression and immune dysfunction limit vaccine efficacy in advanced stages, which may make DC-based vaccines more efficacious in treating early-stage disease. This review underscores the scientific basis and advances in the development of DC-based vaccines, focuses on current barriers to success and highlights new research opportunities to address these obstacles. [ABSTRACT FROM AUTHOR]
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- 2012
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24. Ketamine for treatment-resistant unipolar depression: current evidence.
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Mathew SJ, Shah A, Lapidus K, Clark C, Jarun N, Ostermeyer B, Murrough JW, Mathew, Sanjay J, Shah, Asim, Lapidus, Kyle, Clark, Crystal, Jarun, Noor, Ostermeyer, Britta, and Murrough, James W
- Abstract
Currently available drugs for unipolar major depressive disorder (MDD), which target monoaminergic systems, have a delayed onset of action and significant limitations in efficacy. Antidepressants with primary pharmacological targets outside the monoamine system may offer the potential for more rapid activity with improved therapeutic benefit. The glutamate system has been scrutinized as a target for antidepressant drug discovery. The purpose of this article is to review emerging literature on the potential rapid-onset antidepressant properties of the glutamate NMDA receptor antagonist ketamine, an established anaesthetic agent. The pharmacology of ketamine and its enantiomer S-ketamine is reviewed, followed by examples of its clinical application in chronic, refractory pain conditions, which are commonly co-morbid with depression. The first generation of studies in patients with treatment-resistant depression (TRD) reported the safety and acute efficacy of a single subanaesthetic dose (0.5 mg/kg) of intravenous ketamine. A second generation of ketamine studies is focused on testing alternate routes of drug delivery, identifying methods to prevent relapse following resolution of depressive symptoms and understanding the neural basis for the putative antidepressant actions of ketamine. In addition to traditional depression rating endpoints, ongoing research is examining the impact of ketamine on neurocognition. Although the first clinical report in MDD was published in 2000, there is a paucity of adequately controlled double-blind trials, and limited clinical experience outside of research settings. Given the potential risks of ketamine, safety considerations will ultimately determine whether this old drug is successfully repositioned as a new therapy for TRD. [ABSTRACT FROM AUTHOR]
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- 2012
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25. Young mania rating scale line item analysis in pediatric subjects with bipolar I disorder treated with aripiprazole in a short-term, double-blind, randomized study.
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Mankoski R, Zhao J, Carson WH, Mathew SJ, and Forbes RA
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- 2011
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26. Neurobiological mechanisms in major depressive disorder.
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aan het Rot M, Mathew SJ, Charney DS, aan het Rot, Marije, Mathew, Sanjay J, and Charney, Dennis S
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- 2009
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27. Efficacy of Deep Brain Stimulation for Treatment-Resistant Depression: Systematic Review and Meta-Analysis.
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Reddy S, Kabotyanski KE, Hirani S, Liu T, Naqvi Z, Giridharan N, Hasen M, Provenza NR, Banks GP, Mathew SJ, Goodman WK, and Sheth SA
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- Humans, Treatment Outcome, Depressive Disorder, Major therapy, Depressive Disorder, Major physiopathology, Deep Brain Stimulation methods, Depressive Disorder, Treatment-Resistant therapy, Depressive Disorder, Treatment-Resistant physiopathology
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Background: Treatment-resistant depression affects about 30% of individuals with major depressive disorder. Deep brain stimulation is an investigational intervention for treatment-resistant depression with varied results. We undertook this meta-analysis to synthesize outcome data across trial designs, anatomical targets, and institutions to better establish efficacy and side-effect profiles., Methods: We conducted a systematic PubMed review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Seven randomized controlled trials (n = 198) and 8 open-label trials (n = 77) were included spanning 2009 to 2020. Outcome measures included Hamilton Depression Rating Scale or Montgomery-Åsberg Depression Rating Scale scores, as well as response and remission rates over time. Outcomes were tracked at the last follow-up and quantified as a time course using model-based network meta-analysis. Linear mixed models were fit to individual patient data to identify covariates., Results: Deep brain stimulation achieved 47% improvement in long-term depression scale scores, with an estimated time to reach 50% improvement of around 23 months. There were no significant subgroup effects of stimulation target, time of last follow-up, sex, age of disease onset, or duration of disease, but open-label trials showed significantly greater treatment effects than randomized controlled trials. Long-term (12-60 month) response and remission rates were 48% and 35%, respectively. The time course of improvement with active stimulation could not be adequately distinguished from that with sham stimulation, when available., Conclusions: Deep brain stimulation produces significant chronic improvement in symptoms of treatment-resistant depression. However, the limited sham-controlled data do not demonstrate significant improvement over placebo. Future advancements in stimulation optimization and careful blinding and placebo schemes are important next steps for this therapy., (Copyright © 2024 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.)
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- 2024
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28. Difficult to Treat Depression: Focus on Approach, Algorithms, and Access.
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Karp JF, Brinton RD, Fournier JC, Harding L, Jha MK, Lenze EJ, Mathew SJ, Meltzer-Brody S, Mohr DC, Riva-Posse P, Wiechers I, and Williams NR
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- Humans, Antidepressive Agents therapeutic use, Depressive Disorder, Treatment-Resistant therapy, Depressive Disorder, Treatment-Resistant drug therapy, Algorithms, Health Services Accessibility
- Abstract
The pandemic refocused interest on the burden of depression across the lifespan; the increased efforts to prevent and treat depression are now a priority of health care systems, insurers, patient advocates, digital therapeutic engineers, telemedicine platforms, and community health agencies. However, the challenges of treating depression to remission in adult patients who do not respond to first, second, or third levels of oral pharmacotherapy remain. The increased prevalence of these conditions is at odds with the shrinking psychiatric workforce. Since addressing difficult to treat depression is situated in a rapidly evolving treatment landscape, The University of Arizona College of Medicine-Tucson Department of Psychiatry organized and hosted the Southwest Forum on Difficult to Treat Depression: Focus on Approach, Algorithms, and Access in July 2024. The Forum convened 11 internationally renowned experts in the science and treatment of depression, in particular difficult to treat depression, for a day of teaching and discussion. Based on their expertise, participants were asked to address one of the following three themes: (1) Novel Mechanism Approaches for Difficult to Treat Depression, (2) What Do I Do Next? Evidence-Informed Algorithms to Get Patients Better Faster, and (3) Access: Providing Comprehensive Depression Care Across the Spectrum of Clinical Severity., (© Copyright 2024 Physicians Postgraduate Press, Inc.)
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- 2024
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29. Towards objective, temporally resolved neurobehavioral predictors of emotional state.
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Kabotyanski KE, Yi HG, Hingorani R, Robinson BS, Cowley HP, Fifer MS, Wester BA, Lamichhane B, Sabharwal A, Allawala AB, Rajesh SV, Diab N, Mathura RK, Pirtle V, Adkinson J, Watrous AJ, Bartoli E, Xiao J, Banks GP, Mathew SJ, Goodman WK, Pitkow X, Pouratian N, Hayden BY, Provenza NR, and Sheth SA
- Abstract
Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Sameer A. Sheth reports financial support was provided by National Institutes of Health. Sameer A. Sheth reports financial support was provided by Robert and Janice Mcnair Foundation. Katherine E. Kabotyanski reports financial support was provided by Baylor Research Advocates for Student Scientists. Sameer A. Sheth reports a relationship with Boston Scientific Corporation that includes: consulting or advisory. Sameer A. Sheth reports a relationship with NeuroPace Inc that includes: consulting or advisory. Sameer A. Sheth reports a relationship with Koh Young Technology that includes: consulting or advisory. Sameer A. Sheth reports a relationship with Zimmer Biomet that includes: consulting or advisory. Sameer A. Sheth reports a relationship with Sensoria Health that includes: consulting or advisory. Sameer A. Sheth reports a relationship with Varian Medical Systems Inc that includes: consulting or advisory. Sameer A. Sheth reports a relationship with Motif Neurotech that includes: board membership. Wayne K. Goodman reports a relationship with Medtronic that includes: non-financial support. Wayne K. Goodman reports a relationship with Biohaven Ltd that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Abbott that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Almatica Pharma LLC that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Biohaven Ltd that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with BioXcel Therapeutics, Inc. That includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Boehringer Ingelheim Ltd that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Brii Biosciences that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Clexio Biosciences Ltd that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Compass Pathways Plc that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Delix Therapeutics that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Douglas Pharmaceuticals Ltd that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Engrail Therapeutics that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Freedom Biosciences that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with LivaNova that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Levo Therapeutics that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Merck & Co Inc that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Motif Neurotech that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Neumora Therapeutics, Inc. That includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Neurocrine Biosciences Inc that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Perception Neurosciences that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Praxis Precision Medicines Inc that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Relmada Therapeutics Inc that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with SAGE Therapeutics Inc that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Seelos Therapeutics that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Signant Health that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Sunovion Pharmaceuticals that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Xenon Pharmaceuticals Inc that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with Worldwide Clinical Trials that includes: consulting or advisory. Sanjay J. Mathew reports a relationship with XW Pharma that includes: consulting or advisory. Nader Pouratian reports a relationship with Boston Scientific Corporation that includes: consulting or advisory. Nader Pouratian reports a relationship with Abbott that includes: consulting or advisory. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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- 2024
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30. Improved implicit self-esteem is associated with extended antidepressant effects following a novel synergistic intervention.
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Eken HN, Spotts C, Panny B, Griffo A, Degutis M, Cruz N, Bell E, Do-Nguyen K, Wallace ML, Mathew SJ, Howland RH, and Price RB
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- Humans, Adult, Female, Male, Double-Blind Method, Middle Aged, Adolescent, Young Adult, Treatment Outcome, Depressive Disorder, Treatment-Resistant drug therapy, Depression drug therapy, Combined Modality Therapy methods, Ketamine therapeutic use, Ketamine administration & dosage, Self Concept, Antidepressive Agents therapeutic use
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Introduction: In a previously published randomized controlled trial, automated self-association training (ASAT), a novel digital intervention, was found to extend the rapid antidepressant effect of a single infusion of ketamine for at least 30 days. In this secondary analysis, we aimed to understand the potential role of implicit self-esteem in the combined antidepressant effect of ketamine and ASAT training, by investigating the novel synergistic treatment's effects on implicit self-associations and their relation to symptom improvement., Methods: A total of 154 adults (ages 18-60) with treatment-resistant unipolar depression and lower-than-normative explicit self-esteem were randomized in a double-blind, parallel-arm design to receive one of three treatment allocations: an active/active treatment combination consisting of one infusion of ketamine (0.5 mg/kg) followed by four days of ASAT ( ~ 30-40 min/day), or one of two control arms that lacked either the active drug or the active behavioral component. The Implicit Association Test (IAT) was used to behaviorally assess the strength of association between self-related stimuli and negative concepts. Linear regression models were used to test the relationship between group assignment, IAT scores acquired immediately post-treatment, and both acute and extended clinical outcomes (% change in Montgomery-Asberg Depression Rating Scale scores, relative to pre-treatment baseline) in the trial., Results: The group assigned to ketamine + ASAT intervention, compared to the other groups, had a pattern of IAT scores indicating more positive self-associations immediately after treatment relative to the control arms (F(1, 131) = 3.979; p = 0.048). In regression models, IAT scores tracked with concurrent (acute post-treatment) % change in MADRS scores across all treatment arms (p = 0.001), and mediated more extended (Day 30) depression improvements specifically for the ketamine+ASAT arm (group * IAT interaction term: β = -0.201; p = 0.049)., Discussion: Our findings suggest that changing implicit self-worth during a post-ketamine 'plasticity window' is one key mechanism whereby the novel ketamine+ASAT treatment combination exerts its antidepressant benefit, confirming the intended treatment target at the level of implicit cognition. Future studies should seek to further enhance the reliability of the biobehavioral intervention's impact on implicit cognition, as this mechanism appears linked to the intervention's enduring clinical benefits., (© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)
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- 2024
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31. Functional connectivity subtypes during a positive mood induction: Predicting clinical response in a randomized controlled trial of ketamine for treatment-resistant depression.
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Hossein S, Woody ML, Panny B, Spotts C, Wallace ML, Mathew SJ, Howland RH, and Price RB
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Ketamine has shown promise in rapidly improving symptoms of depression and most notably treatment-resistant depression (TRD). However, given the heterogeneity of TRD, biobehavioral markers of treatment response are necessary for the personalized prescription of intravenous ketamine. Heterogeneity in depression can be manifested in discrete patterns of functional connectivity (FC) in default mode, ventral affective, and cognitive control networks. This study employed a data-driven approach to parse FC during positive mood processing to characterize subgroups of patients with TRD prior to infusion and determine whether these connectivity-based subgroups could predict subsequent antidepressant response to ketamine compared to saline infusion. 152 adult patients with TRD completed a baseline assessment of FC during positive mood processing and were randomly assigned to either ketamine or saline infusion. The assessment utilized Subgroup-Group Iterative Multiple Model Estimation to recover directed connectivity maps and applied Walktrap algorithm to determine data-driven subgroups. Depression severity was assessed pre- and 24-hr postinfusion. Two connectivity-based subgroups were identified: Subgroup A ( n = 110) and Subgroup B ( n = 42). We observed that treatment response was moderated by an infusion type by subgroup interaction ( p = .040). For patients receiving ketamine, subgroup did not predict treatment response (β = -.326, p = .499). However, subgroup predicted response for saline patients. Subgroup B individuals, relative to A, were more likely to be saline responders at 24-hr postinfusion (β = -2.146, p = .007). Thus, while ketamine improved depressive symptoms uniformly across both subgroups, this heterogeneity was a predictor of placebo response. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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- 2024
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32. Intracranial Directed Connectivity Links Subregions of the Prefrontal Cortex to Major Depression.
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Myers J, Xiao J, Mathura R, Shofty B, Pirtle V, Adkinson J, Allawala AB, Anand A, Gadot R, Najera R, Rey HG, Mathew SJ, Bijanki K, Banks G, Watrous A, Bartoli E, Heilbronner SR, Provenza N, Goodman WK, Pouratian N, Hayden BY, and Sheth SA
- Abstract
Understanding the neural basis of major depressive disorder (MDD) is vital to guiding neuromodulatory treatments. The available evidence supports the hypothesis that MDD is fundamentally a disease of cortical disinhibition, where breakdowns of inhibitory neural systems lead to diminished emotion regulation and intrusive ruminations. Recent research also points towards network changes in the brain, especially within the prefrontal cortex (PFC), as primary sources of MDD etiology. However, due to limitations in spatiotemporal resolution and clinical opportunities for intracranial recordings, this hypothesis has not been directly tested. We recorded intracranial EEG from the dorsolateral (dlPFC), orbitofrontal (OFC), and anterior cingulate cortices (ACC) in neurosurgical patients with MDD. We measured daily fluctuations in self-reported depression severity alongside directed connectivity between these PFC subregions. We focused primarily on delta oscillations (1-3 Hz), which have been linked to GABAergic inhibitory control and intracortical communication. Depression symptoms worsened when connectivity within the left vs. right PFC became imbalanced. In the left hemisphere, all directed connectivity towards the ACC, from the dlPFC and OFC, was positively correlated with depression severity. In the right hemisphere, directed connectivity between the OFC and dlPFC increased with depression severity as well. This is the first evidence that delta oscillations flowing between prefrontal subregions transiently increase intensity when people are experiencing more negative mood. These findings support the overarching hypothesis that MDD worsens with prefrontal disinhibition.
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- 2024
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33. Comparative effectiveness research trial for antidepressant incomplete and non-responders with treatment resistant depression (ASCERTAIN-TRD) a randomized clinical trial.
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Papakostas GI, Trivedi MH, Shelton RC, Iosifescu DV, Thase ME, Jha MK, Mathew SJ, DeBattista C, Dokucu ME, Brawman-Mintzer O, Currier GW, McCall WV, Modirrousta M, Macaluso M, Bystritsky A, Rodriguez FV, Nelson EB, Yeung AS, Feeney A, MacGregor LC, Carmody T, and Fava M
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- Humans, Male, Female, Middle Aged, Adult, Treatment Outcome, Duloxetine Hydrochloride therapeutic use, Comparative Effectiveness Research, Psychiatric Status Rating Scales, Combined Modality Therapy methods, Depressive Disorder, Treatment-Resistant drug therapy, Depressive Disorder, Treatment-Resistant therapy, Venlafaxine Hydrochloride therapeutic use, Transcranial Magnetic Stimulation methods, Aripiprazole therapeutic use, Aripiprazole pharmacology, Antidepressive Agents therapeutic use
- Abstract
Further research is needed to help improve both the standard of care and the outcome for patients with treatment-resistant depression. A particularly critical evidence gap exists with respect to whether pharmacological or non-pharmacological augmentation is superior to antidepressant switch, or vice-versa. The objective of this study was to compare the effectiveness of augmentation with aripiprazole or repetitive transcranial magnetic stimulation versus switching to the antidepressant venlafaxine XR (or duloxetine for those not eligible to receive venlafaxine) for treatment-resistant depression. In this multi-site, 8-week, randomized, open-label study, 278 subjects (196 females and 82 males, mean age 45.6 years (SD 15.3)) with treatment-resistant depression were assigned in a 1:1:1 fashion to treatment with either of these three interventions; 235 subjects completed the study. 260 randomized subjects with at least one post-baseline Montgomery-Asberg Depression Rating (MADRS) assessment were included in the analysis. Repetitive transcranial magnetic stimulation (score change (standard error (se)) = -17.39 (1.3) (p = 0.015) but not aripiprazole augmentation (score change (se) = -14.9 (1.1) (p = 0.069) was superior to switch (score change (se) = -13.22 (1.1)) on the MADRS. Aripiprazole (mean change (se) = -37.79 (2.9) (p = 0.003) but not repetitive transcranial magnetic stimulation augmentation (mean change (se) = -42.96 (3.6) (p = 0.031) was superior to switch (mean change (se) = -34.45 (3.0)) on the symptoms of depression questionnaire. Repetitive transcranial magnetic stimulation augmentation was shown to be more effective than switching antidepressants in treatment-resistant depression on the study primary measure. In light of these findings, clinicians should consider repetitive transcranial magnetic stimulation augmentation early-on for treatment-resistant depression.Trial registration: ClinicalTrials.gov, NCT02977299., (© 2024. The Author(s).)
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- 2024
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34. Beta activity in human anterior cingulate cortex mediates reward biases.
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Xiao J, Adkinson JA, Myers J, Allawala AB, Mathura RK, Pirtle V, Najera R, Provenza NR, Bartoli E, Watrous AJ, Oswalt D, Gadot R, Anand A, Shofty B, Mathew SJ, Goodman WK, Pouratian N, Pitkow X, Bijanki KR, Hayden B, and Sheth SA
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- Humans, Male, Adult, Female, Choice Behavior physiology, Middle Aged, Beta Rhythm physiology, Epilepsy physiopathology, Young Adult, Reward, Gyrus Cinguli physiology, Gyrus Cinguli diagnostic imaging, Gyrus Cinguli physiopathology, Depressive Disorder, Major physiopathology, Depressive Disorder, Major psychology
- Abstract
The rewards that we get from our choices and actions can have a major influence on our future behavior. Understanding how reward biasing of behavior is implemented in the brain is important for many reasons, including the fact that diminution in reward biasing is a hallmark of clinical depression. We hypothesized that reward biasing is mediated by the anterior cingulate cortex (ACC), a cortical hub region associated with the integration of reward and executive control and with the etiology of depression. To test this hypothesis, we recorded neural activity during a biased judgment task in patients undergoing intracranial monitoring for either epilepsy or major depressive disorder. We found that beta (12-30 Hz) oscillations in the ACC predicted both associated reward and the size of the choice bias, and also tracked reward receipt, thereby predicting bias on future trials. We found reduced magnitude of bias in depressed patients, in whom the beta-specific effects were correspondingly reduced. Our findings suggest that ACC beta oscillations may orchestrate the learning of reward information to guide adaptive choice, and, more broadly, suggest a potential biomarker for anhedonia and point to future development of interventions to enhance reward impact for therapeutic benefit., (© 2024. The Author(s).)
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- 2024
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35. Myosin heavy chain-perinatal regulates skeletal muscle differentiation, oxidative phenotype and regeneration.
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Sharma A, Zehra A, and Mathew SJ
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- Animals, Mice, Phenotype, Caspase 3 metabolism, Caspase 3 genetics, Myogenin metabolism, Myogenin genetics, Oxidation-Reduction, Cell Differentiation genetics, Regeneration genetics, Myosin Heavy Chains genetics, Myosin Heavy Chains metabolism, Muscle Development genetics, Muscle, Skeletal metabolism, Muscle, Skeletal cytology
- Abstract
Myosin heavy chain-perinatal (MyHC-perinatal) is one of two development-specific myosin heavy chains expressed exclusively during skeletal muscle development and regeneration. The specific functions of MyHC-perinatal are unclear, although mutations are known to lead to contracture syndromes such as Trismus-pseudocamptodactyly syndrome. Here, we characterize the functions of MyHC-perinatal during skeletal muscle differentiation and regeneration. Loss of MyHC-perinatal function leads to enhanced differentiation characterized by increased expression of myogenic regulatory factors and differentiation index as well as reduced reserve cell numbers in vitro. Proteomic analysis revealed that loss of MyHC-perinatal function results in a switch from oxidative to glycolytic metabolism in myofibers, suggesting a shift from slow type I to fast type IIb fiber type, also supported by reduced mitochondrial numbers. Paracrine signals mediate the effect of loss of MyHC-perinatal function on myogenic differentiation, possibly mediated by non-apoptotic caspase-3 signaling along with enhanced levels of the pro-survival apoptosis regulator Bcl2 and nuclear factor kappa-B (NF-κB). Knockdown of MyHC-perinatal during muscle regeneration in vivo results in increased expression of the differentiation marker myogenin (MyoG) and impaired differentiation, evidenced by smaller myofibers, elevated fibrosis and reduction in the number of satellite cells. Thus, we find that MyHC-perinatal is a crucial regulator of myogenic differentiation, myofiber oxidative phenotype and regeneration., (© 2024 Federation of European Biochemical Societies.)
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- 2024
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36. Insula uses overlapping codes for emotion in self and others.
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Xiao J, Adkinson JA, Allawala AB, Banks G, Bartoli E, Fan X, Mocchi M, Pascuzzi B, Pulapaka S, Franch MC, Mathew SJ, Mathura RK, Myers J, Pirtle V, Provenza NR, Shofty B, Watrous AJ, Pitkow X, Goodman WK, Pouratian N, Sheth S, Bijanki KR, and Hayden BY
- Abstract
In daily life, we must recognize others' emotions so we can respond appropriately. This ability may rely, at least in part, on neural responses similar to those associated with our own emotions. We hypothesized that the insula, a cortical region near the junction of the temporal, parietal, and frontal lobes, may play a key role in this process. We recorded local field potential (LFP) activity in human neurosurgical patients performing two tasks, one focused on identifying their own emotional response and one on identifying facial emotional responses in others. We found matching patterns of gamma- and high-gamma band activity for the two tasks in the insula. Three other regions (MTL, ACC, and OFC) clearly encoded both self- and other-emotions, but used orthogonal activity patterns to do so. These results support the hypothesis that the insula plays a particularly important role in mediating between experienced vs. observed emotions., Competing Interests: Declaration of interests SAS has consulting agreements with Boston Scientific, NeuroPace, Abbott, Zimmer Biomet, Varian Medical, and Sensoria Therapeutics and is co-founder of Motif. WKG has received donated devices from Medtronic and has consulting agreements with Biohaven Pharmaceuticals. SJM has served as a consultant or received research support from the following companies: Abbott, Almatica Pharma, Biohaven, BioXcel Therapeutics, Boehringer-Ingelheim, Brii Biosciences, Clexio Biosciences, COMPASS Pathways, Delix Therapeutics, Douglas Pharmaceuticals, Engrail Therapeutics, Freedom Biosciences, Liva Nova, Levo Therapeutics, Merck, Motif, Neumora, Neurocrine, Perception Neurosciences, Praxis Precision Medicines, Relmada Therapeutics, Sage Therapeutics, Seelos Therapeutics, Signant Health, Sunovion, Xenon Pharmaceuticals, Worldwide Clinical Trials, and XW Pharma. NP is a consultant for Abbott Laboratories and Sensoria Therapeutics. KRB has one patent awarded (US 11,241,575) and a second patent pending (US 63/592,453), which are not related to the findings of the current manuscript. The remaining authors declare no competing interests.
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- 2024
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37. Cost-effectiveness and threshold analysis of deep brain stimulation vs. treatment-as-usual for treatment-resistant depression.
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Kabotyanski KE, Najera RA, Banks GP, Sharma H, Provenza NR, Hayden BY, Mathew SJ, and Sheth SA
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- Humans, Male, Female, United States, Middle Aged, Quality of Life, Health Care Costs statistics & numerical data, Monte Carlo Method, Deep Brain Stimulation economics, Cost-Benefit Analysis, Depressive Disorder, Treatment-Resistant therapy, Depressive Disorder, Treatment-Resistant economics, Quality-Adjusted Life Years
- Abstract
Treatment-resistant depression (TRD) affects approximately 2.8 million people in the U.S. with estimated annual healthcare costs of $43.8 billion. Deep brain stimulation (DBS) is currently an investigational intervention for TRD. We used a decision-analytic model to compare cost-effectiveness of DBS to treatment-as-usual (TAU) for TRD. Because this therapy is not FDA approved or in common use, our goal was to establish an effectiveness threshold that trials would need to demonstrate for this therapy to be cost-effective. Remission and complication rates were determined from review of relevant studies. We used published utility scores to reflect quality of life after treatment. Medicare reimbursement rates and health economics data were used to approximate costs. We performed Monte Carlo (MC) simulations and probabilistic sensitivity analyses to estimate incremental cost-effectiveness ratios (ICER; USD/quality-adjusted life year [QALY]) at a 5-year time horizon. Cost-effectiveness was defined using willingness-to-pay (WTP) thresholds of $100,000/QALY and $50,000/QALY for moderate and definitive cost-effectiveness, respectively. We included 274 patients across 16 studies from 2009-2021 who underwent DBS for TRD and had ≥12 months follow-up in our model inputs. From a healthcare sector perspective, DBS using non-rechargeable devices (DBS-pc) would require 55% and 85% remission, while DBS using rechargeable devices (DBS-rc) would require 11% and 19% remission for moderate and definitive cost-effectiveness, respectively. From a societal perspective, DBS-pc would require 35% and 46% remission, while DBS-rc would require 8% and 10% remission for moderate and definitive cost-effectiveness, respectively. DBS-pc will unlikely be cost-effective at any time horizon without transformative improvements in battery longevity. If remission rates ≥8-19% are achieved, DBS-rc will likely be more cost-effective than TAU for TRD, with further increasing cost-effectiveness beyond 5 years., (© 2024. The Author(s).)
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- 2024
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38. Ketamine vs Electroconvulsive Therapy for Treatment-Resistant Depression: A Secondary Analysis of a Randomized Clinical Trial.
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Jha MK, Wilkinson ST, Krishnan K, Collins KA, Sanacora G, Murrough J, Goes F, Altinay M, Aloysi A, Asghar-Ali A, Barnett B, Chang L, Costi S, Malone D, Nikayin S, Nissen SE, Ostroff R, Reti I, Wolski K, Wang D, Hu B, Mathew SJ, and Anand A
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- Humans, Female, Male, Middle Aged, Adult, Aged, Treatment Outcome, Ketamine therapeutic use, Ketamine administration & dosage, Electroconvulsive Therapy methods, Depressive Disorder, Treatment-Resistant therapy
- Abstract
Importance: The ELEKT-D: Electroconvulsive Therapy (ECT) vs Ketamine in Patients With Treatment Resistant Depression (TRD) (ELEKT-D) trial demonstrated noninferiority of intravenous ketamine vs ECT for nonpsychotic TRD. Clinical features that can guide selection of ketamine vs ECT may inform shared decision-making for patients with TRD., Objective: To evaluate whether selected clinical features were associated with differential improvement with ketamine vs ECT., Design, Setting, and Participants: This secondary analysis of an open-label noninferiority randomized clinical trial was a multicenter study conducted at 5 US academic medical centers from April 7, 2017, to November 11, 2022. Analyses for this study, which were not prespecified in the trial protocol, were conducted from May 10 to Oct 31, 2023. The study cohort included patients with TRD, aged 21 to 75 years, who were in a current nonpsychotic depressive episode of at least moderate severity and were referred for ECT by their clinicians., Exposures: Eligible participants were randomized 1:1 to receive either 6 infusions of ketamine or 9 treatments with ECT over 3 weeks., Main Outcomes and Measures: Association between baseline factors (including 16-item Quick Inventory of Depressive Symptomatology Self-Report [QIDS-SR16], Montgomery-Asberg Depression Rating Scale [MADRS], premorbid intelligence, cognitive function, history of attempted suicide, and inpatient vs outpatient status) and treatment response were assessed with repeated measures mixed-effects model analyses., Results: Among the 365 participants included in this study (mean [SD] age, 46.0 [14.5] years; 191 [52.3%] female), 195 were randomized to the ketamine group and 170 to the ECT group. In repeated measures mixed-effects models using depression levels over 3 weeks and after false discovery rate adjustment, participants with a baseline QIDS-SR16 score of 20 or less (-7.7 vs -5.6 points) and those starting treatment as outpatients (-8.4 vs -6.2 points) reported greater reduction in the QIDS-SR16 with ketamine vs ECT. Conversely, those with a baseline QIDS-SR16 score of more than 20 (ie, very severe depression) and starting treatment as inpatients reported greater reduction in the QIDS-SR16 earlier in course of treatment (-8.4 vs -6.7 points) with ECT, but scores were similar in both groups at the end-of-treatment visit (-9.0 vs -9.9 points). In the ECT group only, participants with higher scores on measures of premorbid intelligence (-14.0 vs -11.2 points) and with a comorbid posttraumatic stress disorder diagnosis (-16.6 vs -12.0 points) reported greater reduction in the MADRS score. Those with impaired memory recall had greater reduction in MADRS during the second week of treatment (-13.4 vs -9.6 points), but the levels of MADRS were similar to those with unimpaired recall at the end-of-treatment visit (-14.3 vs -12.2 points). Other results were not significant after false discovery rate adjustment., Conclusions and Relevance: In this secondary analysis of the ELEKT-D randomized clinical trial of ECT vs ketamine, greater improvement in depression was observed with intravenous ketamine among outpatients with nonpsychotic TRD who had moderately severe or severe depression, suggesting that these patients may consider ketamine over ECT for TRD.
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- 2024
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39. Multiparametric Flow Cytometry in the Evaluation of Plasma Cell Proliferative Disorders: Current Paradigms for Clinical Practice.
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Gupta R, Jevremovic D, Mathew SJ, and Kumar S
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- Humans, Plasma Cells pathology, Flow Cytometry methods, Bone Marrow pathology, Immunophenotyping, Neoplasm, Residual pathology, Tumor Microenvironment, Multiple Myeloma pathology, Paraproteinemias pathology
- Abstract
Diagnosis of plasma cell proliferative disorders (PCPDs) is primarily based on the demonstration of monoclonal protein (M-Protein) in blood and/ or urine which often precedes clinical manifestations of the disease. The basic pathophysiology behind the M-protein presence is the proliferation of clonal plasma cells (PCs) in bone marrow or extramedullary sites and is assessed using cytomorphology and immunophenotyping. The role of multiparametric flow cytometry (MFC) for PC identification is technically the most valuable tool in this context as it characterizes as well as quantifies the clonal PCs based on differential expression of various immunophenotypic (IPT) markers. From a diagnostic perspective, MFC is critical in the definite identification of the clonal PCs and delineates benign and borderline entities at one end of the spectrum (MGUS, SMM) with lower clonal PC% and, malignant diseases at the other end (MM and PCL) with higher clonal PC fraction. The role of MFC in assessment of measurable residual disease (MRD) and monitoring of progression in MM and various PCPDs has been validated in multiple clinical studies and is probably one of the most promising tools for predicting treatment outcomes. Furthermore, MFC also plays a crucial role in disease prognostication based on specific IPT profiles. An additional role of MFC in the current clinical scenario is the evaluation of tumor microenvironment based on immune cell repertoire, which is reflecting encouraging results across. Thus, in the current review we concisely describe the role of MFC as a reliable and essential modality in PCPDs, from diagnosis to prediction of treatment outcome and disease monitoring., Competing Interests: Disclosure The authors have stated that they have no conflicts of interest., (Copyright © 2023 Elsevier Inc. All rights reserved.)
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- 2024
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40. The Wnt-pathway corepressor TLE3 interacts with the histone methyltransferase KMT1A to inhibit differentiation in Rhabdomyosarcoma.
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Kalita B, Sahu S, Bharadwaj A, Panneerselvam L, Martinez-Cebrian G, Agarwal M, and Mathew SJ
- Subjects
- Humans, Mice, Animals, Co-Repressor Proteins genetics, Histone Methyltransferases, Cell Differentiation genetics, Antigens, Differentiation, Cell Proliferation genetics, Cell Line, Tumor, Rhabdomyosarcoma pathology
- Abstract
Rhabdomyosarcoma tumor cells resemble differentiating skeletal muscle cells, which unlike normal muscle cells, fail to undergo terminal differentiation, underlying their proliferative and metastatic properties. We identify the corepressor TLE3 as a key regulator of rhabdomyosarcoma tumorigenesis by inhibiting the Wnt-pathway. Loss of TLE3 function leads to Wnt-pathway activation, reduced proliferation, decreased migration, and enhanced differentiation in rhabdomyosarcoma cells. Muscle-specific TLE3-knockout results in enhanced expression of terminal myogenic differentiation markers during normal mouse development. TLE3-knockout rhabdomyosarcoma cell xenografts result in significantly smaller tumors characterized by reduced proliferation, increased apoptosis and enhanced differentiation. We demonstrate that TLE3 interacts with and recruits the histone methyltransferase KMT1A, leading to repression of target gene activation and inhibition of differentiation in rhabdomyosarcoma. A combination drug therapy regime to promote Wnt-pathway activation by the small molecule BIO and inhibit KMT1A by the drug chaetocin led to significantly reduced tumor volume, decreased proliferation, increased expression of differentiation markers and increased survival in rhabdomyosarcoma tumor-bearing mice. Thus, TLE3, the Wnt-pathway and KMT1A are excellent drug targets which can be exploited for treating rhabdomyosarcoma tumors., (© 2023. The Author(s), under exclusive licence to Springer Nature Limited.)
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- 2024
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41. Prefrontal network engagement by deep brain stimulation in limbic hubs.
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Allawala A, Bijanki KR, Oswalt D, Mathura RK, Adkinson J, Pirtle V, Shofty B, Robinson M, Harrison MT, Mathew SJ, Goodman WK, Pouratian N, Sheth SA, and Borton DA
- Abstract
Prefrontal circuits in the human brain play an important role in cognitive and affective processing. Neuromodulation therapies delivered to certain key hubs within these circuits are being used with increasing frequency to treat a host of neuropsychiatric disorders. However, the detailed neurophysiological effects of stimulation to these hubs are largely unknown. Here, we performed intracranial recordings across prefrontal networks while delivering electrical stimulation to two well-established white matter hubs involved in cognitive regulation and depression: the subcallosal cingulate (SCC) and ventral capsule/ventral striatum (VC/VS). We demonstrate a shared frontotemporal circuit consisting of the ventromedial prefrontal cortex, amygdala, and lateral orbitofrontal cortex where gamma oscillations are differentially modulated by stimulation target. Additionally, we found participant-specific responses to stimulation in the dorsal anterior cingulate cortex and demonstrate the capacity for further tuning of neural activity using current-steered stimulation. Our findings indicate a potential neurophysiological mechanism for the dissociable therapeutic effects seen across the SCC and VC/VS targets for psychiatric neuromodulation and our results lay the groundwork for personalized, network-guided neurostimulation therapy., Competing Interests: SS has consulting agreements with Boston Scientific, Neuropace, Abbott, and Zimmer Biomet, Varian Medical and Sensoria Therapeutics and is a co-founder for Motif Neurotech. NP was a consultant for Second Sight Medical Products, Abbott Laboratories, Boston Scientific, and Sensoria Therapeutics. WG has received donated devices from Medtronic, has consulted for Biohaven Pharmaceuticals and receives royalties from Nview, LLC. SM was supported through the use of resources and facilities at the Michael E. Debakey VA Medical Center, Houston, Texas and receives support from The Menninger Clinic. SM has served as a consultant to Allergan, Alkermes, Axsome Therapeutics, BioXcel Therapeutics, Clexio Biosciences, COMPASS Pathways, Eleusis, Engrail Therapeutics, Greenwich Biosciences, Intra-Cellular Therapies, Janssen, Levo Therapeutics, Perception Neurosciences, Praxis Precision Medicines, Neumora, Neurocrine, Relmada Therapeutics, Sage Therapeutics, Seelos Therapeutics, and Sunovion. He has received research support from Biohaven Pharmaceuticals, Boehringer-Ingelheim, Janssen, Merck, Sage Therapeutics, and VistaGen Therapeutics. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision., (Copyright © 2024 Allawala, Bijanki, Oswalt, Mathura, Adkinson, Pirtle, Shofty, Robinson, Harrison, Mathew, Goodman, Pouratian, Sheth and Borton.)
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- 2024
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42. Anti-suicidal effects of IV ketamine in a real-world setting.
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O'Brien B, Lee J, Kim S, Nandra GS, Pannu P, Tamman A, Amarneh D, Swann AC, Murphy N, Averill L, Jha M, and Mathew SJ
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- Humans, Male, Adult, Female, Psychometrics, Suicidal Ideation, Risk Factors, Ketamine pharmacology, Ketamine therapeutic use, Suicide
- Abstract
The current study evaluated the effectiveness of intravenous ketamine treatment for suicidality in a community-based clinical sample of 295 outpatients (mean age= 40.37; 58.6 % male). We conducted growth mixture modeling to estimate latent classes of changes in symptoms of suicidality measured by the Concise Health Risk Tracking - Self-Report (CHRT-SR) across five infusions in a two-week course of treatment. Best-fit indices indicated three trajectory groups demonstrating non-linear, quadratic changes in CHRT-SR scores during ketamine treatment. The largest group of patients (n= 170, 57.6 %) had moderate CHRT-SR scores at baseline and showed gradual improvement during treatment. The other two groups of patients had severe CHRT-SR scores at baseline and diverged into one group with no improvement throughout treatment (n = 63, 21 %) and one group with rapid improvement (n = 62, 21 %). Of the clinical and demographic variables available and tested, only higher scores pertaining to active thoughts of death and/or plan were found to predict which of the patients with severe CHRT-SR scores at baseline would not benefit from treatment. The present study provides an important contribution to the knowledge of ketamine's effects on symptoms related to suicide over time. providing support for the possible effectiveness of ketamine in a proportion of patients., Competing Interests: Declaration of Competing Interest Drs. Averill, Mathew, O'Brien and Tamman are supported through the use of resources and facilities at the Michael E. Debakey VA Medical Center, Houston, Texas. Dr. Averill serves as a Consultant, Speaker and/or Advisory Board Member for Guidepoint, Transcend Therapeutics, Beond, Source Research Foundation, Reason for Hope, the Cohen Foundation, and NPSYT, PLLC. Dr. Jha has received contract research grants from Neurocrine Bioscience, Navitor/Supernus and Janssen Research & Development; honorarium to serve as Section Editor of the Psychiatry & Behavioral Health Learning Network and as Guest Editor for Psychiatric Clinics of North America from Elsevier; consultant fees from Eleusis Therapeutics US, Inc, Janssen Global Services, Janssen Scientific Affairs, Guidepoint Global, and Boehringer Ingelheim; fees to serve on Data Safety and Monitoring Board for Worldwide Clinical Trials (Eliem and Inversargo), Vicore Pharma and IQVIA (Click); and honoraria for educational presentations from North American Center for Continuing Medical Education, Medscape/WebMD, Clinical Care Options, and Global Medical Education. Dr. Mathew receives support from the Menninger Clinic and has received research support from Boehringer Ingelheim, Merck, and Sage Therapeutics; and has served as a consultant for Almatica, Axsome Therapeutics, Biohaven, BioXcel Therapeutics, COMPASS Pathways, Delix, Douglas Pharmaceuticals, Clexio Biosciences, Eleusis, EMA Wellness, Engrail Therapeutics, Intra-Cellular Therapies, Janssen, Levo Therapeutics, Merck, Neurocrine, Perception Neuroscience, Praxis Precision Medicines, Neumora, Neurocrine, Relmada Therapeutics, Sage Therapeutics, Seelos Therapeutics, Signant Health, Sunovion, and XW Pharma. Dr. Murphy has received grants/research support from NIMH (1R21MH119441–01A1); REAM Misophonia Research Fund (The REAM Foundation - YR01); Caroline Wiess Law Fund for Research in Molecular Medicine, and has previously received research support as a subinvestigator for clinical research for Neurocrine Biosciences Inc. All other authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023. Published by Elsevier B.V.)
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- 2024
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43. The why, when, where, how, and so what of so-called rapidly acting antidepressants.
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Schatzberg AF and Mathew SJ
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- Humans, Anxiety, Antidepressive Agents pharmacology, Antidepressive Agents therapeutic use, Depression drug therapy
- Abstract
Developing antidepressants that are not only more effective but are rapidly acting is the Holy Grail for psychiatry. We review multiple issues that arise in determining rapid responses in antidepressant trials. The current status of purportedly rapid acting agents is first reviewed. Then, a number of key questions/issues are addressed: Is there a unifying definition for rapid response across studies? Should rapid response criteria be based on required measurable effects on overall improvement? On specific symptoms such as psychomotor retardation, depressed mood, or anhedonia? In associated symptoms such as anxiety or insomnia? When should onset be considered rapid-by Day 3? Day7? Day 14? If there is a rapid response, for how long should the effects be maintained? Is maintenance of effect dependent on continuing the medication? Is rapid response associated with specific mechanisms of action? Do the mechanisms of action suggest possible risk for drug abuse? How important is rapid response really in an often chronic or recurrent depressive disorder? In which types of patients could rapid response be particularly important? What are the study design issues that need to be considered for assessing rapid response, including: selection of specific types of depressed patients, multiple doses of drug studied, designation of primary and secondary outcome measures, specific time points at which to determine efficacy, requirements for demonstrating durability, etc. A framework for approaching this complex area is developed for both researchers and clinicians., (© 2023. The Author(s), under exclusive licence to American College of Neuropsychopharmacology.)
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- 2024
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44. Efficacy and safety of zuranolone co-initiated with an antidepressant in adults with major depressive disorder: results from the phase 3 CORAL study.
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Parikh SV, Aaronson ST, Mathew SJ, Alva G, DeBattista C, Kanes S, Lasser R, Bullock A, Kotecha M, Jung J, Forrestal F, Jonas J, Vera T, Leclair B, and Doherty J
- Subjects
- Adult, Female, Humans, Drug Therapy, Combination, Double-Blind Method, Antidepressive Agents adverse effects, Treatment Outcome, Depressive Disorder, Major drug therapy, Depressive Disorder, Major psychology
- Abstract
Major depressive disorder (MDD) is a mental health disorder that can cause disability and functional impairment that standard-of-care (SOC) antidepressant therapies (ADTs) can take weeks to treat. Zuranolone is a neuroactive steroid and positive allosteric modulator of synaptic and extrasynaptic γ-aminobutyric acid (GABA) type A receptors approved as an oral, once-daily, 14-day treatment course in adults with postpartum depression and under investigation in adults with MDD. The phase 3 CORAL Study (NCT04476030) evaluated the efficacy and safety of zuranolone 50 mg co-initiated with SOC ADT (zuranolone+ADT) vs placebo co-initiated with SOC ADT (placebo+ADT) in adults with MDD. Patients were randomized 1:1 to once-daily, blinded zuranolone+ADT or placebo+ADT for 14 days, then continued open-label SOC ADT for 28 more days. The primary endpoint was change from baseline (CFB) in the 17-item Hamilton Rating Scale for Depression (HAMD-17) total score at Day 3. Among 425 patients in the full analysis set, CFB in HAMD-17 total score at Day 3 was significantly improved with zuranolone+ADT vs placebo+ADT (least squares mean [standard error], -8.9 [0.39] vs -7.0 [0.38]; p = 0.0004). The majority of patients receiving zuranolone+ADT that experienced treatment-emergent adverse events (TEAEs) reported mild or moderate events. The most common TEAEs present in ≥10% of patients in either zuranolone+ADT or placebo+ADT groups were somnolence, dizziness, headache, and nausea. These results demonstrate that zuranolone+ADT provided more rapid improvement in depressive symptoms compared with placebo+ADT in patients with MDD, with a safety profile consistent with previous studies. Clinical trial registration: ClinicalTrials.gov identifier: NCT04476030., (© 2023. The Author(s).)
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- 2024
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45. Choosing Between Ketamine and Electroconvulsive Therapy for Outpatients With Treatment-Resistant Depression-Advantage Ketamine?
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Mathew SJ, Jha MK, and Anand A
- Subjects
- Humans, Depression, Outpatients, Treatment Outcome, Ketamine pharmacology, Ketamine therapeutic use, Electroconvulsive Therapy, Depressive Disorder, Major drug therapy, Depressive Disorder, Treatment-Resistant therapy
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- 2023
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46. Stereo-EEG-guided network modulation for psychiatric disorders: Surgical considerations.
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Sheth SA, Shofty B, Allawala A, Xiao J, Adkinson JA, Mathura RK, Pirtle V, Myers J, Oswalt D, Provenza NR, Giridharan N, Noecker AM, Banks GP, Gadot R, Najera RA, Anand A, Devara E, Dang H, Bartoli E, Watrous A, Cohn J, Borton D, Mathew SJ, McIntyre CC, Goodman W, Bijanki K, and Pouratian N
- Subjects
- Humans, Electroencephalography methods, Electrodes, Electrodes, Implanted, Epilepsy therapy, Depressive Disorder, Treatment-Resistant therapy, Deep Brain Stimulation methods
- Abstract
Background: Deep brain stimulation (DBS) and other neuromodulatory techniques are being increasingly utilized to treat refractory neurologic and psychiatric disorders., Objective: /Hypothesis: To better understand the circuit-level pathophysiology of treatment-resistant depression (TRD) and treat the network-level dysfunction inherent to this challenging disorder, we adopted an approach of inpatient intracranial monitoring borrowed from the epilepsy surgery field., Methods: We implanted 3 patients with 4 DBS leads (bilateral pair in both the ventral capsule/ventral striatum and subcallosal cingulate) and 10 stereo-electroencephalography (sEEG) electrodes targeting depression-relevant network regions. For surgical planning, we used an interactive, holographic visualization platform to appreciate the 3D anatomy and connectivity. In the initial surgery, we placed the DBS leads and sEEG electrodes using robotic stereotaxy. Subjects were then admitted to an inpatient monitoring unit for depression-specific neurophysiological assessments. Following these investigations, subjects returned to the OR to remove the sEEG electrodes and internalize the DBS leads to implanted pulse generators., Results: Intraoperative testing revealed positive valence responses in all 3 subjects that helped verify targeting. Given the importance of the network-based hypotheses we were testing, we required accurate adherence to the surgical plan (to engage DBS and sEEG targets) and stability of DBS lead rotational position (to ensure that stimulation field estimates of the directional leads used during inpatient monitoring were relevant chronically), both of which we confirmed (mean radial error 1.2±0.9 mm; mean rotation 3.6±2.6°)., Conclusion: This novel hybrid sEEG-DBS approach allows detailed study of the neurophysiological substrates of complex neuropsychiatric disorders., Competing Interests: Declaration of competing interest SAS is a consultant for Boston Scientific, Neuropace, Koh Young, Zimmer Biomet, Varian, Sensoria Therapeutics, and co-founder of Motif Neurotech. NP is a consultant for Boston Scientific and Abbott. WG has received donated devices from Medtronic and is a consultant for Biohaven Pharmaceuticals. SJM has served as a consultant for Alkermes, Allergan, Axsome Therapeutics, Clexio Biosciences, Engrail Therapeutics, Intra-Cellular Therapies, Janssen, Neurocrine, Perception Neurosciences, Praxis Precision Medicines, and Sage Therapeutics. CCM is a consultant for Boston Scientific; receives royalties from Hologram Consultants, Neuros Medical, and Qr8 Health; and is a shareholder in the following companies: Hologram Consultants, Surgical Information Sciences, CereGate, Autonomic Technologies, Cardionomic, Enspire DBS. All other authors report no biomedical financial interests or potential conflicts of interest., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
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- 2023
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47. Using latent profile analyses to classify subjects with anhedonia based on reward-related measures obtained in the FAST-MAS study.
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Darrow SM, Pizzagalli DA, Smoski M, Mathew SJ, Nurnberger J Jr, Lisanby SH, Iosifescu D, Murrough JW, Yang H, Weiner RD, Sanacora G, Keefe RSE, Song A, Goodman W, Whitton AE, Potter WZ, and Krystal AD
- Subjects
- Humans, Motivation, Self Report, Neuroimaging, Anhedonia physiology, Reward
- Abstract
Background: Growing evidence indicates that anhedonia is a multifaceted construct. This study examined the possibility of identifying subgroups of people with anhedonia using multiple reward-related measures to provide greater understanding the Research Domain Criteria's Positive Valence Systems Domain and pathways for developing treatments., Methods: Latent profile analysis of baseline data from a study that examined the effects of a novel kappa opioid receptor (KOR) antagonist drug on measures and biomarkers associated with anhedonia was used to identify subgroups. Measures included ventral striatal activation during the Monetary Incentive Delay task, response bias in the Probabilistic Reward Task, reward valuation scores from the Effort-Expenditure for Rewards Task, and scores from reward-related self-report measures., Results: Two subgroups were identified, which differed on self-report measures of reward. Participants in the subgroup reporting more anhedonia also reported more depression and had greater illness severity and functional impairments. Graphs of change with treatment showed a trend for the less severe subgroup to demonstrate higher response to KOR antagonist treatment on the neuroimaging measure, probabilistic reward task, and ratings of functioning; the subgroup with greater severity showed a trend for higher treatment response on reward-related self-report measures., Limitations: The main limitations include the small sample size and exploratory nature of analyses., Conclusions: Evidence of possible dissociation between self-reported measures of anhedonia and other measures with respect to treatment response emerged. These results highlight the importance for future research to consider severity of self-reported reward-related deficits and how the relationship across measurement methods may vary with severity., Competing Interests: Declaration of competing interest Darrow: reports no financial relationship with commercial interests. Pizzagalli: Over the past 3 years, Dr. Pizzagalli has received consulting fees from Albright Stonebridge Group, Boehringer Ingelheim, Compass Pathways, Engrail Therapeutics, Neumora Therapeutics (formerly BlackThorn Therapeutics), Neurocrine Biosciences, Neuroscience Software, Otsuka, Sunovion, and Takeda; he has received honoraria from the Psychonomic Society and American Psychological Association (for editorial work) and from Alkermes; he has received research funding from the Brain and Behavior Research Foundation, Dana Foundation, Wellcome Leap, Millennium Pharmaceuticals, and NIMH; he has received stock options from Compass Pathways, Engrail Therapeutics, Neumora Therapeutics, and Neuroscience Software; he has a financial interest in Neumora Therapeutics, which has licensed the copyright to the human version of the probabilistic reward task through Harvard University. No funding from these entities was used to support the current work, and all views expressed are solely those of the authors. Smoski: reports no financial relationships with commercial interests. Mathew: Dr. Mathew has been a consultant for Allergan, Alkermes, Axsome Therapeutics, BioXcel Therapeutics, Clexio Biosciences, Eleusis, EMA Wellness, Engrail Therapeutics, Intra-Cellular Therapies, Greenwich Biosciences, Janssen, Levo Therapeutics, Neurocrine, Perception Neuroscience, Praxis Precision Medicines, Relmada Therapeutics, Sage Therapeutics, Signant Health and Seelos Therapeutics, and received research support from Biohaven, Janssen, Merck, NIH, NeuroRx, PCORI, Sage Therapeutics, VA, and VistaGen Therapeutics, drug from Biohaven for NIMH-funded study, and support from the Michael E. Debakey VA Medical Center (Houston, TX) for use of resources and facilities and The Menninger Clinic, Houston, Texas. Nurnberger: J.N. has received research funding from Janssen and Assurex. Lisanby: S.H.L. is a co-inventor on a patent for TMS Technology, unrelated to this manuscript. S.H.L. contributed to this article while at Duke University, before joining the National Institute of Mental Health. The views expressed are her own and do not necessarily represent the views of the National Institutes of Health, the Department of Health, or the US government. Iosifescu: In the past 5 years, Dr. Iosifescu has received consulting fees from Alkermes, Axsome, Allergan, Biogen, the Centers for Psychiatric Excellence, Global Medical Education, MyndAnalytics (CNS Response), Jazz, Lundbeck, Otsuka, Precision Neuroscience, Sage, Sunovion; and he has received research grant support (through his academic institutions) from Alkermes, AstraZeneca, Brainsway, LiteCure, NeoSync, Roche, and Shire. Murrough: In the past 5 years, Dr. Murrough has served as a consultant to Allergan, Boehreinger Ingelheim, Clexio Biosciences, Global Medical Education (GME), Otsuka, Sage Therapeutics, and Engrail Therapeutics. Dr. Murrough is named on a patent pending for neuropeptide Y as a treatment for mood and anxiety disorders and on a patent pending for the use of KCNQ channel openers to treat depression and related conditions. The Icahn School of Medicine (employer of Dr. Murrough) is named on a patent and has entered into a licensing agreement and will receive payments related to the use of ketamine or esketamine for the treatment of depression. The Icahn School of Medicine is also named on a patent related to the use of ketamine for the treatment of PTSD. Dr. Murrough is not named on these patents and will not receive any payments. Yang: reports no financial relationship with commercial interests. Weiner: reports no financial relationship with commercial interests. Sanacora: has consulted for Allergan, Alkermes, AstraZeneca, Avanier Pharmaceuticals, Axsome Therapeutics, Biogen, Biohaven Pharmaceuticals, Boehringer Ingelheim, Bristol-Myers Squibb, Clexio Biosciences, Denovo Biopharma, EMA- Wellness, Engrail, Freedom, Gilgamesh, Hoffman La-Roche, Intra-Cellular Therapies, Janssen, Levo, Lundbeck, Merck, Naurex, Navitor Pharmaceuticals, Neurocrine Biosciences, Novartis, Noven Pharmaceuticals, Otsuka, Praxis Therapeutics, Perception Neuroscience, Praxis Therapeutics, Sage Pharmaceuticals, Seelos Pharmaceuticals, Taisho Pharmaceuticals, Teva, Valeant, Vistagen Therapeutics, and XW Labs. GS also received research funding from AstraZeneca, Bristol-Myers Squibb, Eli Lilly, Johnson & Johnson, Hoffman La-Roche, Merck, Naurex, Servier and Usona Institute. G.S. holds equity in BioHaven Pharmaceuticals and is a co-inventor on a US patent (#8,778,979) held by Yale University and a co-inventor on US Provisional Patent Application No. 047162-7177P1 (00754) filed on August 20, 2018, by Yale University Office of Cooperative Research. Yale University (Employer of Dr. Sanacora) has a financial relationship with Janssen Pharmaceuticals and may in the future receive financial benefits from this relationship. Keefe: During the period that work was conducted on this study, R.S.E.K. was the owner of VeraSci, a for-profit company that provides clinical trial support and other services for over 100 pharmaceutical companies and other institutions. Song: has received research support from the NIH and GE Healthcare. Goodman: W.G. has consulted for Biohaven Pharmaceuticals, received research funding from the NIH, the McNair Foundation, and Biohaven Pharmaceuticals, and received donated devices from Medtronic. Whitton: Dr. Whitton was partially supported by a grant from the National Health and Medical Research Council of Australia (GNT: 1110773). Potter: Is on a DSMB for Agene-Bio and Regenacy, has stock ownership in Merck, and has received consulting fees from Karuna, Eliem, Neurocrine, Emerald Lake Safety, Boston Pharmaceuticals, and Otsuka and receives research funding from the NIH as a co-PI on a small business grant to praxis Bioresearch. Krystal: Dr. Krystal has received research grants from Janssen Pharmaceuticals, Axsome Pharmaceutics, Reveal Biosensors, The Ray and Dagmar Dolby Family Fund, and the National Institutes of Health. He has received consulting fees from Adare, Axsome Therapeutics, Big Health, Eisai, Evecxia, Ferring Pharmaceuticals, Galderma, Harmony Biosciences, Idorsia, Janssen Pharmaceuticals, Jazz Pharmaceuticals, Millenium Pharmaceuticals, Merck, Neurocrine Biosciences, Neurawell, Pernix, Otsuka Pharmaceuticals, Sage, Takeda, and Angelini. He owns options of Big Health., (Copyright © 2023 Elsevier B.V. All rights reserved.)
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- 2023
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48. Correction: Neural complexity EEG biomarkers of rapid and post-rapid ketamine effects in late-life treatment-resistant depression: a randomized control trial.
- Author
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Murphy N, Tamman AJF, Lijffijt M, Amarneh D, Iqbal S, Swann A, Averill LA, O'Brien B, and Mathew SJ
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- 2023
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49. Neural complexity EEG biomarkers of rapid and post-rapid ketamine effects in late-life treatment-resistant depression: a randomized control trial.
- Author
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Murphy N, Tamman AJF, Lijffijt M, Amarneh D, Iqbal S, Swann A, Averill LA, O'Brien B, and Mathew SJ
- Subjects
- Humans, Depression drug therapy, Antidepressive Agents therapeutic use, Electroencephalography, Biomarkers, Treatment Outcome, Ketamine pharmacology, Ketamine therapeutic use, Depressive Disorder, Treatment-Resistant drug therapy
- Abstract
Ketamine is an effective intervention for treatment-resistant depression (TRD), including late-in-life (LL-TRD). The proposed mechanism of antidepressant effects of ketamine is a glutamatergic surge, which can be measured by electroencephalogram (EEG) gamma oscillations. Yet, non-linear EEG biomarkers of ketamine effects such as neural complexity are needed to capture broader systemic effects, represent the level of organization of synaptic communication, and elucidate mechanisms of action for treatment responders. In a secondary analysis of a randomized control trial, we investigated two EEG neural complexity markers (Lempel-Ziv complexity [LZC] and multiscale entropy [MSE]) of rapid (baseline to 240 min) and post-rapid ketamine (24 h and 7 days) effects after one 40-min infusion of IV ketamine or midazolam (active control) in 33 military veterans with LL-TRD. We also studied the relationship between complexity and Montgomery-Åsberg Depression Rating Scale score change at 7 days post-infusion. We found that LZC and MSE both increased 30 min post-infusion, with effects not localized to a single timescale for MSE. Post-rapid effects of reduced complexity with ketamine were observed for MSE. No relationship was observed between complexity and reduction in depressive symptoms. Our findings support the hypothesis that a single sub-anesthetic ketamine infusion has time-varying effects on system-wide contributions to the evoked glutamatergic surge in LL-TRD. Further, changes to complexity were observable outside the time-window previously shown for effects on gamma oscillations. These preliminary results have clinical implications in providing a functional marker of ketamine that is non-linear, amplitude-independent, and represents larger dynamic properties, providing strong advantages over linear measures in highlighting ketamine's effects., (© 2023. The Author(s).)
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- 2023
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50. Decoding Depression Severity From Intracranial Neural Activity.
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Xiao J, Provenza NR, Asfouri J, Myers J, Mathura RK, Metzger B, Adkinson JA, Allawala AB, Pirtle V, Oswalt D, Shofty B, Robinson ME, Mathew SJ, Goodman WK, Pouratian N, Schrater PR, Patel AB, Tolias AS, Bijanki KR, Pitkow X, and Sheth SA
- Subjects
- Humans, Prefrontal Cortex, Brain Mapping methods, Gyrus Cinguli, Depression, Brain physiology
- Abstract
Background: Disorders of mood and cognition are prevalent, disabling, and notoriously difficult to treat. Fueling this challenge in treatment is a significant gap in our understanding of their neurophysiological basis., Methods: We recorded high-density neural activity from intracranial electrodes implanted in depression-relevant prefrontal cortical regions in 3 human subjects with severe depression. Neural recordings were labeled with depression severity scores across a wide dynamic range using an adaptive assessment that allowed sampling with a temporal frequency greater than that possible with typical rating scales. We modeled these data using regularized regression techniques with region selection to decode depression severity from the prefrontal recordings., Results: Across prefrontal regions, we found that reduced depression severity is associated with decreased low-frequency neural activity and increased high-frequency activity. When constraining our model to decode using a single region, spectral changes in the anterior cingulate cortex best predicted depression severity in all 3 subjects. Relaxing this constraint revealed unique, individual-specific sets of spatiospectral features predictive of symptom severity, reflecting the heterogeneous nature of depression., Conclusions: The ability to decode depression severity from neural activity increases our fundamental understanding of how depression manifests in the human brain and provides a target neural signature for personalized neuromodulation therapies., (Copyright © 2023 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.)
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- 2023
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