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1. Transcutaneous CO2 versus end-tidal CO2 in neonates and infants undergoing surgery: a prospective study

Author

Chandrakantan A, Jasiewicz R, Reinsel RA, Khmara K, Mintzer J, DeCristofaro JD, Jacob Z, and Seidman P

Subjects
Infant, Newborn, End-tidal CO2, Blood gas monitoring-transcutaneous, Intensive care monitoring- neonatal, ASA monitoring standards, Medical technology, R855-855.5
Abstract

Arvind Chandrakantan,1 Ronald Jasiewicz,2 Ruth A Reinsel,3 Kseniya Khmara,2 Jonathan Mintzer,4 Joseph D DeCristofaro,4 Zvi Jacob,2 Peggy Seidman51Department of Anesthesiology & Pediatrics, Texas Children’s Hospital, Houston, TX, USA; 2Department of Anesthesiology, Stony Brook University Hospital, Stony Brook, NY, USA; 3Department of Neurology, Stony Brook University Hospital, Stony Brook, NY, USA; 4Department of Neonatology & Pediatrics, Stony Brook University Hospital, Stony Brook, NY, USA; 5Department of Anesthesiology & Pediatrics, UH Rainbow Babies and Children’s Hospital, Cleveland, OH, USAAim: End-tidal CO2 (EtCO2) is the standard in operative care along with pulse oximetry for ventilation assessment. It is known to be less accurate in the infant population than in adults. Many neonatal intensive care units (NICU) have converted to utilizing transcutaneous CO2 (tcPCO2) monitoring. This study aimed to compare perioperative EtCO2 to tcPCO2 in the pediatric perioperative population specifically below 10 kg, which encompasses neonates and some infants.Methods: After IRB approval and parental written informed consent, we enrolled neonates and infants weighing less than 10 kg, who were scheduled for elective surgery with endotracheal tube under general anesthesia. PCO2 was monitored with EtCO2 and with tcPCO2. Venous blood gas (PvCO2) samples were drawn at the end of the anesthetic. We calculated a mean difference of EtCO2 minus PvCO2 (Delta EtCO2), and tcPCO2 minus PvCO2 (Delta tcPCO2) from end-of-case measurements. The mean differences in the NICU and non-NICU patients were compared by t-tests and Bland–Altman analysis.Results: Median age was 10.9 weeks, and median weight was 4.4 kg. NICU (n=6) and non-NICU (n=14) patients did not differ in PvCO2. Relative to the PvCO2, the Delta EtCO2 was much greater in the NICU compared to the non-NICU patients (−28.1 versus −9.8, t=3.912, 18 df, P=0.001). Delta tcPCO2 was close to zero in both groups. Although both measures obtained simultaneously in the same patients agreed moderately with each other (r =0.444, 18 df, P=0.05), Bland–Altman plots indicated that the mean difference (bias) in EtCO2 measurements differed significantly from zero (P

Published
2019

2. Agitation in cognitive disorders: Progress in the International Psychogeriatric Association consensus clinical and research definition.

Author

Sano, M., Cummings, J., Auer, S., Bergh, S., Fischer, C.E., Gerritsen, D.L., Grossberg, G., Ismail, Z., Lanctôt, K., Lapid, M.I., Mintzer, J., Palm, R., Rosenberg, P.B., Splaine, M., Zhong, K., Zhu, C.W., Sano, M., Cummings, J., Auer, S., Bergh, S., Fischer, C.E., Gerritsen, D.L., Grossberg, G., Ismail, Z., Lanctôt, K., Lapid, M.I., Mintzer, J., Palm, R., Rosenberg, P.B., Splaine, M., Zhong, K., and Zhu, C.W.

Abstract

Contains fulltext : 305002.pdf (Publisher’s version ) (Open Access), BACKGROUND: The International Psychogeriatric Association (IPA) published a provisional consensus definition of agitation in cognitive disorders in 2015. As proposed by the original work group, we summarize the use and validation of criteria in order to remove "provisional" from the definition. METHODS: This report summarizes information from the academic literature, research resources, clinical guidelines, expert surveys, and patient and family advocates on the experience of use of the IPA definition. The information was reviewed by a working group of topic experts to create a finalized definition. RESULTS: We present a final definition which closely resembles the provisional definition with modifications to address special circumstances. We also summarize the development of tools for diagnosis and assessment of agitation and propose strategies for dissemination and integration into precision diagnosis and agitation interventions. CONCLUSION: The IPA definition of agitation captures a common and important entity that is recognized by many stakeholders. Dissemination of the definition will permit broader detection and can advance research and best practices for care of patients with agitation., 01 april 2024

Published
2024

3. Reduction and prevention of agitation in persons with neurocognitive disorders: an international psychogeriatric association consensus algorithm.

Author

Cummings, J., Sano, M., Auer, S., Bergh, S., Fischer, C.E., Gerritsen, D.L., Grossberg, G., Ismail, Z., Lanctôt, K., Lapid, M.I., Mintzer, J., Palm, R., Rosenberg, P.B., Splaine, M., Zhong, K., Zhu, C.W., Cummings, J., Sano, M., Auer, S., Bergh, S., Fischer, C.E., Gerritsen, D.L., Grossberg, G., Ismail, Z., Lanctôt, K., Lapid, M.I., Mintzer, J., Palm, R., Rosenberg, P.B., Splaine, M., Zhong, K., and Zhu, C.W.

Abstract

Contains fulltext : 305003.pdf (Publisher’s version ) (Open Access), OBJECTIVES: To develop an agitation reduction and prevention algorithm is intended to guide implementation of the definition of agitation developed by the International Psychogeriatric Association (IPA). DESIGN: Review of literature on treatment guidelines and recommended algorithms; algorithm development through reiterative integration of research information and expert opinion. SETTING: IPA Agitation Workgroup. PARTICIPANTS: IPA panel of international experts on agitation. INTERVENTION: Integration of available information into a comprehensive algorithm. MEASUREMENTS: None. RESULTS: The IPA Agitation Work Group recommends the Investigate, Plan, and Act (IPA) approach to agitation reduction and prevention. A thorough investigation of the behavior is followed by planning and acting with an emphasis on shared decision-making; the success of the plan is evaluated and adjusted as needed. The process is repeated until agitation is reduced to an acceptable level and prevention of recurrence is optimized. Psychosocial interventions are part of every plan and are continued throughout the process. Pharmacologic interventions are organized into panels of choices for nocturnal/circadian agitation; mild-moderate agitation or agitation with prominent mood features; moderate-severe agitation; and severe agitation with threatened harm to the patient or others. Therapeutic alternatives are presented for each panel. The occurrence of agitation in a variety of venues-home, nursing home, emergency department, hospice-and adjustments to the therapeutic approach are presented. CONCLUSIONS: The IPA definition of agitation is operationalized into an agitation management algorithm that emphasizes the integration of psychosocial and pharmacologic interventions, reiterative assessment of response to treatment, adjustment of therapeutic approaches to reflect the clinical situation, and shared decision-making., 01 april 2024

Published
2024

4. A randomized, double-blind, placebo-controlled trial of resveratrol for Alzheimer disease

Author

Turner, R Scott, Thomas, Ronald G, Craft, Suzanne, van Dyck, Christopher H, Mintzer, Jacobo, Reynolds, Brigid A, Brewer, James B, Rissman, Robert A, Raman, Rema, Aisen, Paul S, Study, For the Alzheimer's Disease Cooperative, Study, Alzheimer's Disease Cooperative, Mintzer, J, Reynolds, BA, Karlawish, J, Galasko, D, Heidebrink, J, Aggarwal, N, Graff-Radford, N, Sano, M, Petersen, R, Bell, K, Doody, R, Smith, A, Bernick, C, Porteinsson, A, Tariot, P, Mulnard, R, Lerner, A, Schneider, L, Burns, J, Raskind, M, Ferris, S, Jicha, G, Quiceno, M, Obisesan, T, Rosenberg, P, Weintraub, D, Kieburtz, K, Miller, B, Kryscio, R, and Alexopoulis, G

Subjects
Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Clinical Sciences, Neurodegenerative, Alzheimer's Disease, Clinical Trials and Supportive Activities, Clinical Research, Complementary and Integrative Health, Brain Disorders, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Dietary Supplements, Aging, Acquired Cognitive Impairment, Neurosciences, Dementia, 6.1 Pharmaceuticals, Neurological, Aged, Aged, 80 and over, Alzheimer Disease, Double-Blind Method, Female, Gastrointestinal Diseases, Humans, Male, Middle Aged, Resveratrol, Stilbenes, Alzheimer's Disease Cooperative Study, Cognitive Sciences, Neurology & Neurosurgery, Clinical sciences
Abstract

ObjectiveA randomized, placebo-controlled, double-blind, multicenter 52-week phase 2 trial of resveratrol in individuals with mild to moderate Alzheimer disease (AD) examined its safety and tolerability and effects on biomarker (plasma Aβ40 and Aβ42, CSF Aβ40, Aβ42, tau, and phospho-tau 181) and volumetric MRI outcomes (primary outcomes) and clinical outcomes (secondary outcomes).MethodsParticipants (n = 119) were randomized to placebo or resveratrol 500 mg orally once daily (with dose escalation by 500-mg increments every 13 weeks, ending with 1,000 mg twice daily). Brain MRI and CSF collection were performed at baseline and after completion of treatment. Detailed pharmacokinetics were performed on a subset (n = 15) at baseline and weeks 13, 26, 39, and 52.ResultsResveratrol and its major metabolites were measurable in plasma and CSF. The most common adverse events were nausea, diarrhea, and weight loss. CSF Aβ40 and plasma Aβ40 levels declined more in the placebo group than the resveratrol-treated group, resulting in a significant difference at week 52. Brain volume loss was increased by resveratrol treatment compared to placebo.ConclusionsResveratrol was safe and well-tolerated. Resveratrol and its major metabolites penetrated the blood-brain barrier to have CNS effects. Further studies are required to interpret the biomarker changes associated with resveratrol treatment.Classification of evidenceThis study provides Class II evidence that for patients with AD resveratrol is safe, well-tolerated, and alters some AD biomarker trajectories. The study is rated Class II because more than 2 primary outcomes were designated.

Published
2015

5. Prognostic relevance of gait-related cognitive functions for dementia conversion in amnestic mild cognitive impairment

Author

Tuena, C, Maestri, S, Serino, S, Pedroli, E, Stramba-Badiale, M, Riva, G, Silbert, L, Lind, B, Crissey, R, Kaye, J, Carter, R, Dolen, S, Quinn, J, Schneider, L, Pawluczyk, S, Becerra, M, Teodoro, L, Dagerman, K, Spann, B, Brewer, J, Fleisher, A, Vanderswag, H, Ziolkowski, J, Heidebrink, J, Zbizek-Nulph, L, Lord, J, Albers, C, Petersen, R, Mason, S, Knopman, D, Johnson, K, Villanueva-Meyer, J, Pavlik, V, Pacini, N, Lamb, A, Kass, J, Doody, R, Shibley, V, Chowdhury, M, Rountree, S, Dang, M, Stern, Y, Honig, L, Mintz, A, Ances, B, Morris, J, Winkfield, D, Carroll, M, Stobbs-Cucchi, G, Oliver, A, Creech, M, Mintun, M, Schneider, S, Geldmacher, D, Love, M, Griffith, R, Clark, D, Brockington, J, Marson, D, Grossman, H, Goldstein, M, Greenberg, J, Mitsis, E, Shah, R, Lamar, M, Samuels, P, Duara, R, Greig-Custo, M, Rodriguez, R, Albert, M, Onyike, C, Farrington, L, Rudow, S, Brichko, R, Kielb, S, Smith, A, Raj, B, Fargher, K, Sadowski, M, Wisniewski, T, Shulman, M, Faustin, A, Rao, J, Castro, K, Ulysse, A, Chen, S, Doraiswamy, P, Petrella, J, James, O, Wong, T, Borges-Neto, S, Karlawish, J, Wolk, D, Vaishnavi, S, Clark, C, Arnold, S, Smith, C, Jicha, G, Khouli, R, Raslau, F, Lopez, O, Oakley, M, Simpson, D, Porsteinsson, A, Martin, K, Kowalski, N, Keltz, M, Goldstein, B, Makino, K, Ismail, M, Brand, C, Thai, G, Pierce, A, Yanez, B, Sosa, E, Witbracht, M, Kelley, B, Nguyen, T, Womack, K, Mathews, D, Quiceno, M, Levey, A, Lah, J, Hajjar, I, Burns, J, Swerdlow, R, Brooks, W, Silverman, D, Kremen, S, Apostolova, L, Tingus, K, Lu, P, Bartzokis, G, Woo, E, Teng, E, Graff-Radford, N, Parfitt, F, Poki-Walker, K, Farlow, M, Hake, A, Matthews, B, Brosch, J, Herring, S, van Dyck, C, Mecca, A, Good, S, Macavoy, M, Carson, R, Varma, P, Chertkow, H, Vaitekunas, S, Hosein, C, Black, S, Stefanovic, B, Heyn, C, Hsiung, G, Kim, E, Mudge, B, Sossi, V, Feldman, H, Assaly, M, Finger, E, Pasternak, S, Rachinsky, I, Kertesz, A, Drost, D, Rogers, J, Grant, I, Muse, B, Rogalski, E, Robson, J, Mesulam, M, Kerwin, D, Wu, C, Johnson, N, Lipowski, K, Weintraub, S, Bonakdarpour, B, Pomara, N, Hernando, R, Sarrael, A, Rosen, H, Miller, B, Weiner, M, Perry, D, Turner, R, Reynolds, B, Mccann, K, Poe, J, Marshall, G, Sperling, R, Yesavage, J, Taylor, J, Chao, S, Coleman, J, White, J, Lane, B, Rosen, A, Tinklenberg, J, Belden, C, Atri, A, Clark, K, Zamrini, E, Sabbagh, M, Killiany, R, Stern, R, Mez, J, Kowall, N, Budson, A, Obisesan, T, Ntekim, O, Wolday, S, Khan, J, Nwulia, E, Nadarajah, S, Lerner, A, Ogrocki, P, Tatsuoka, C, Fatica, P, Fletcher, E, Maillard, P, Olichney, J, Decarli, C, Carmichael, O, Bates, V, Capote, H, Rainka, M, Borrie, M, Lee, T, Bartha, R, Johnson, S, Asthana, S, Carlsson, C, Perrin, A, Burke, A, Scharre, D, Kataki, M, Tarawneh, R, Hart, D, Zimmerman, E, Celmins, D, Miller, D, Ponto, L, Smith, K, Koleva, H, Shim, H, Nam, K, Schultz, S, Williamson, J, Craft, S, Cleveland, J, Yang, M, Sink, K, Ott, B, Drake, J, Tremont, G, Daiello, L, Ritter, A, Bernick, C, Munic, D, O'Connelll, A, Mintzer, J, Wiliams, A, Masdeu, J, Shi, J, Garcia, A, Newhouse, P, Potkin, S, Salloway, S, Malloy, P, Correia, S, Kittur, S, Pearlson, G, Blank, K, Anderson, K, Flashman, L, Seltzer, M, Hynes, M, Santulli, R, Relkin, N, Chiang, G, Lee, A, Lin, M, Ravdin, L, Tuena C., Maestri S., Serino S., Pedroli E., Stramba-Badiale M., Riva G., Silbert L. C., Lind B., Crissey R., Kaye J. A., Carter R., Dolen S., Quinn J., Schneider L. S., Pawluczyk S., Becerra M., Teodoro L., Dagerman K., Spann B. M., Brewer J., Fleisher A., Vanderswag H., Ziolkowski J., Heidebrink J. L., Zbizek-Nulph L., Lord J. L., Albers C. S., Petersen R., Mason S. S., Knopman D., Johnson K., Villanueva-Meyer J., Pavlik V., Pacini N., Lamb A., Kass J. S., Doody R. S., Shibley V., Chowdhury M., Rountree S., Dang M., Stern Y., Honig L. S., Mintz A., Ances B., Morris J. C., Winkfield D., Carroll M., Stobbs-Cucchi G., Oliver A., Creech M. L., Mintun M. A., Schneider S., Geldmacher D., Love M. N., Griffith R., Clark D., Brockington J., Marson D., Grossman H., Goldstein M. A., Greenberg J., Mitsis E., Shah R. C., Lamar M., Samuels P., Duara R., Greig-Custo M. T., Rodriguez R., Albert M., Onyike C., Farrington L., Rudow S., Brichko R., Kielb S., Smith A., Raj B. A., Fargher K., Sadowski M., Wisniewski T., Shulman M., Faustin A., Rao J., Castro K. M., Ulysse A., Chen S., Doraiswamy P. M., Petrella J. R., James O., Wong T. Z., Borges-Neto S., Karlawish J. H., Wolk D. A., Vaishnavi S., Clark C. M., Arnold S. E., Smith C. D., Jicha G. A., Khouli R. E., Raslau F. D., Lopez O. L., Oakley M. A., Simpson D. M., Porsteinsson A. P., Martin K., Kowalski N., Keltz M., Goldstein B. S., Makino K. M., Ismail M. S., Brand C., Thai G., Pierce A., Yanez B., Sosa E., Witbracht M., Kelley B., Nguyen T., Womack K., Mathews D., Quiceno M., Levey A. I., Lah J. J., Hajjar I., Burns J. M., Swerdlow R. H., Brooks W. M., Silverman D. H. S., Kremen S., Apostolova L., Tingus K., Lu P. H., Bartzokis G., Woo E., Teng E., Graff-Radford N. R., Parfitt F., Poki-Walker K., Farlow M. R., Hake A. M., Matthews B. R., Brosch J. R., Herring S., van Dyck C. H., Mecca A. P., Good S. P., MacAvoy M. G., Carson R. E., Varma P., Chertkow H., Vaitekunas S., Hosein C., Black S., Stefanovic B., Heyn C., Hsiung G. -Y. R., Kim E., Mudge B., Sossi V., Feldman H., Assaly M., Finger E., Pasternak S., Rachinsky I., Kertesz A., Drost D., Rogers J., Grant I., Muse B., Rogalski E., Robson J., Mesulam M. -M., Kerwin D., Wu C. -K., Johnson N., Lipowski K., Weintraub S., Bonakdarpour B., Pomara N., Hernando R., Sarrael A., Rosen H. J., Miller B. L., Weiner M. W., Perry D., Turner R. S., Reynolds B., MCCann K., Poe J., Marshall G. A., Sperling R. A., Johnson K. A., Yesavage J., Taylor J. L., Chao S., Coleman J., White J. D., Lane B., Rosen A., Tinklenberg J., Belden C. M., Atri A., Clark K. A., Zamrini E., Sabbagh M., Killiany R., Stern R., Mez J., Kowall N., Budson A. E., Obisesan T. O., Ntekim O. E., Wolday S., Khan J. I., Nwulia E., Nadarajah S., Lerner A., Ogrocki P., Tatsuoka C., Fatica P., Fletcher E., Maillard P., Olichney J., DeCarli C., Carmichael O., Bates V., Capote H., Rainka M., Borrie M., Lee T. -Y., Bartha R., Johnson S., Asthana S., Carlsson C. M., Perrin A., Burke A., Scharre D. W., Kataki M., Tarawneh R., Hart D., Zimmerman E. A., Celmins D., Miller D. D., Ponto L. L. B., Smith K. E., Koleva H., Shim H., Nam K. W., Schultz S. K., Williamson J. D., Craft S., Cleveland J., Yang M., Sink K. M., Ott B. R., Drake J., Tremont G., Daiello L. A., Drake J. D., Ritter A., Bernick C., Munic D., O'Connelll A., Mintzer J., Wiliams A., Masdeu J., Shi J., Garcia A., Newhouse P., Potkin S., Salloway S., Malloy P., Correia S., Kittur S., Pearlson G. D., Blank K., Anderson K., Flashman L. A., Seltzer M., Hynes M. L., Santulli R. B., Relkin N., Chiang G., Lee A., Lin M., Ravdin L., Tuena, C, Maestri, S, Serino, S, Pedroli, E, Stramba-Badiale, M, Riva, G, Silbert, L, Lind, B, Crissey, R, Kaye, J, Carter, R, Dolen, S, Quinn, J, Schneider, L, Pawluczyk, S, Becerra, M, Teodoro, L, Dagerman, K, Spann, B, Brewer, J, Fleisher, A, Vanderswag, H, Ziolkowski, J, Heidebrink, J, Zbizek-Nulph, L, Lord, J, Albers, C, Petersen, R, Mason, S, Knopman, D, Johnson, K, Villanueva-Meyer, J, Pavlik, V, Pacini, N, Lamb, A, Kass, J, Doody, R, Shibley, V, Chowdhury, M, Rountree, S, Dang, M, Stern, Y, Honig, L, Mintz, A, Ances, B, Morris, J, Winkfield, D, Carroll, M, Stobbs-Cucchi, G, Oliver, A, Creech, M, Mintun, M, Schneider, S, Geldmacher, D, Love, M, Griffith, R, Clark, D, Brockington, J, Marson, D, Grossman, H, Goldstein, M, Greenberg, J, Mitsis, E, Shah, R, Lamar, M, Samuels, P, Duara, R, Greig-Custo, M, Rodriguez, R, Albert, M, Onyike, C, Farrington, L, Rudow, S, Brichko, R, Kielb, S, Smith, A, Raj, B, Fargher, K, Sadowski, M, Wisniewski, T, Shulman, M, Faustin, A, Rao, J, Castro, K, Ulysse, A, Chen, S, Doraiswamy, P, Petrella, J, James, O, Wong, T, Borges-Neto, S, Karlawish, J, Wolk, D, Vaishnavi, S, Clark, C, Arnold, S, Smith, C, Jicha, G, Khouli, R, Raslau, F, Lopez, O, Oakley, M, Simpson, D, Porsteinsson, A, Martin, K, Kowalski, N, Keltz, M, Goldstein, B, Makino, K, Ismail, M, Brand, C, Thai, G, Pierce, A, Yanez, B, Sosa, E, Witbracht, M, Kelley, B, Nguyen, T, Womack, K, Mathews, D, Quiceno, M, Levey, A, Lah, J, Hajjar, I, Burns, J, Swerdlow, R, Brooks, W, Silverman, D, Kremen, S, Apostolova, L, Tingus, K, Lu, P, Bartzokis, G, Woo, E, Teng, E, Graff-Radford, N, Parfitt, F, Poki-Walker, K, Farlow, M, Hake, A, Matthews, B, Brosch, J, Herring, S, van Dyck, C, Mecca, A, Good, S, Macavoy, M, Carson, R, Varma, P, Chertkow, H, Vaitekunas, S, Hosein, C, Black, S, Stefanovic, B, Heyn, C, Hsiung, G, Kim, E, Mudge, B, Sossi, V, Feldman, H, Assaly, M, Finger, E, Pasternak, S, Rachinsky, I, Kertesz, A, Drost, D, Rogers, J, Grant, I, Muse, B, Rogalski, E, Robson, J, Mesulam, M, Kerwin, D, Wu, C, Johnson, N, Lipowski, K, Weintraub, S, Bonakdarpour, B, Pomara, N, Hernando, R, Sarrael, A, Rosen, H, Miller, B, Weiner, M, Perry, D, Turner, R, Reynolds, B, Mccann, K, Poe, J, Marshall, G, Sperling, R, Yesavage, J, Taylor, J, Chao, S, Coleman, J, White, J, Lane, B, Rosen, A, Tinklenberg, J, Belden, C, Atri, A, Clark, K, Zamrini, E, Sabbagh, M, Killiany, R, Stern, R, Mez, J, Kowall, N, Budson, A, Obisesan, T, Ntekim, O, Wolday, S, Khan, J, Nwulia, E, Nadarajah, S, Lerner, A, Ogrocki, P, Tatsuoka, C, Fatica, P, Fletcher, E, Maillard, P, Olichney, J, Decarli, C, Carmichael, O, Bates, V, Capote, H, Rainka, M, Borrie, M, Lee, T, Bartha, R, Johnson, S, Asthana, S, Carlsson, C, Perrin, A, Burke, A, Scharre, D, Kataki, M, Tarawneh, R, Hart, D, Zimmerman, E, Celmins, D, Miller, D, Ponto, L, Smith, K, Koleva, H, Shim, H, Nam, K, Schultz, S, Williamson, J, Craft, S, Cleveland, J, Yang, M, Sink, K, Ott, B, Drake, J, Tremont, G, Daiello, L, Ritter, A, Bernick, C, Munic, D, O'Connelll, A, Mintzer, J, Wiliams, A, Masdeu, J, Shi, J, Garcia, A, Newhouse, P, Potkin, S, Salloway, S, Malloy, P, Correia, S, Kittur, S, Pearlson, G, Blank, K, Anderson, K, Flashman, L, Seltzer, M, Hynes, M, Santulli, R, Relkin, N, Chiang, G, Lee, A, Lin, M, Ravdin, L, Tuena C., Maestri S., Serino S., Pedroli E., Stramba-Badiale M., Riva G., Silbert L. C., Lind B., Crissey R., Kaye J. A., Carter R., Dolen S., Quinn J., Schneider L. S., Pawluczyk S., Becerra M., Teodoro L., Dagerman K., Spann B. M., Brewer J., Fleisher A., Vanderswag H., Ziolkowski J., Heidebrink J. L., Zbizek-Nulph L., Lord J. L., Albers C. S., Petersen R., Mason S. S., Knopman D., Johnson K., Villanueva-Meyer J., Pavlik V., Pacini N., Lamb A., Kass J. S., Doody R. S., Shibley V., Chowdhury M., Rountree S., Dang M., Stern Y., Honig L. S., Mintz A., Ances B., Morris J. C., Winkfield D., Carroll M., Stobbs-Cucchi G., Oliver A., Creech M. L., Mintun M. A., Schneider S., Geldmacher D., Love M. N., Griffith R., Clark D., Brockington J., Marson D., Grossman H., Goldstein M. A., Greenberg J., Mitsis E., Shah R. C., Lamar M., Samuels P., Duara R., Greig-Custo M. T., Rodriguez R., Albert M., Onyike C., Farrington L., Rudow S., Brichko R., Kielb S., Smith A., Raj B. A., Fargher K., Sadowski M., Wisniewski T., Shulman M., Faustin A., Rao J., Castro K. M., Ulysse A., Chen S., Doraiswamy P. M., Petrella J. R., James O., Wong T. Z., Borges-Neto S., Karlawish J. H., Wolk D. A., Vaishnavi S., Clark C. M., Arnold S. E., Smith C. D., Jicha G. A., Khouli R. E., Raslau F. D., Lopez O. L., Oakley M. A., Simpson D. M., Porsteinsson A. P., Martin K., Kowalski N., Keltz M., Goldstein B. S., Makino K. M., Ismail M. S., Brand C., Thai G., Pierce A., Yanez B., Sosa E., Witbracht M., Kelley B., Nguyen T., Womack K., Mathews D., Quiceno M., Levey A. I., Lah J. J., Hajjar I., Burns J. M., Swerdlow R. H., Brooks W. M., Silverman D. H. S., Kremen S., Apostolova L., Tingus K., Lu P. H., Bartzokis G., Woo E., Teng E., Graff-Radford N. R., Parfitt F., Poki-Walker K., Farlow M. R., Hake A. M., Matthews B. R., Brosch J. R., Herring S., van Dyck C. H., Mecca A. P., Good S. P., MacAvoy M. G., Carson R. E., Varma P., Chertkow H., Vaitekunas S., Hosein C., Black S., Stefanovic B., Heyn C., Hsiung G. -Y. R., Kim E., Mudge B., Sossi V., Feldman H., Assaly M., Finger E., Pasternak S., Rachinsky I., Kertesz A., Drost D., Rogers J., Grant I., Muse B., Rogalski E., Robson J., Mesulam M. -M., Kerwin D., Wu C. -K., Johnson N., Lipowski K., Weintraub S., Bonakdarpour B., Pomara N., Hernando R., Sarrael A., Rosen H. J., Miller B. L., Weiner M. W., Perry D., Turner R. S., Reynolds B., MCCann K., Poe J., Marshall G. A., Sperling R. A., Johnson K. A., Yesavage J., Taylor J. L., Chao S., Coleman J., White J. D., Lane B., Rosen A., Tinklenberg J., Belden C. M., Atri A., Clark K. A., Zamrini E., Sabbagh M., Killiany R., Stern R., Mez J., Kowall N., Budson A. E., Obisesan T. O., Ntekim O. E., Wolday S., Khan J. I., Nwulia E., Nadarajah S., Lerner A., Ogrocki P., Tatsuoka C., Fatica P., Fletcher E., Maillard P., Olichney J., DeCarli C., Carmichael O., Bates V., Capote H., Rainka M., Borrie M., Lee T. -Y., Bartha R., Johnson S., Asthana S., Carlsson C. M., Perrin A., Burke A., Scharre D. W., Kataki M., Tarawneh R., Hart D., Zimmerman E. A., Celmins D., Miller D. D., Ponto L. L. B., Smith K. E., Koleva H., Shim H., Nam K. W., Schultz S. K., Williamson J. D., Craft S., Cleveland J., Yang M., Sink K. M., Ott B. R., Drake J., Tremont G., Daiello L. A., Drake J. D., Ritter A., Bernick C., Munic D., O'Connelll A., Mintzer J., Wiliams A., Masdeu J., Shi J., Garcia A., Newhouse P., Potkin S., Salloway S., Malloy P., Correia S., Kittur S., Pearlson G. D., Blank K., Anderson K., Flashman L. A., Seltzer M., Hynes M. L., Santulli R. B., Relkin N., Chiang G., Lee A., Lin M., and Ravdin L.

Abstract

Background: Increasing research suggests that gait abnormalities can be a risk factor for Alzheimer’s Disease (AD). Notably, there is growing evidence highlighting this risk factor in individuals with amnestic Mild Cognitive Impairment (aMCI), however further studies are needed. The aim of this study is to analyze cognitive tests results and brain-related measures over time in aMCI and examine how the presence of gait abnormalities (neurological or orthopedic) or normal gait affects these trends. Additionally, we sought to assess the significance of gait and gait-related measures as prognostic indicators for the progression from aMCI to AD dementia, comparing those who converted to AD with those who remained with a stable aMCI diagnosis during the follow-up. Methods: Four hundred two individuals with aMCI from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database were included. Robust linear mixed-effects models were used to study the impact of gait abnormalities on a comprehensive neuropsychological battery over 36 months while controlling for relevant medical variables at baseline. The impact of gait on brain measures was also investigated. Lastly, the Cox proportional-hazards model was used to explore the prognostic relevance of abnormal gait and neuropsychological associated tests. Results: While controlling for relevant covariates, we found that gait abnormalities led to a greater decline over time in attention (DSST) and global cognition (MMSE). Intriguingly, psychomotor speed (TMT-A) and divided attention (TMT-B) declined uniquely in the abnormal gait group. Conversely, specific AD global cognition tests (ADAS-13) and auditory-verbal memory (RAVLT immediate recall) declined over time independently of gait profile. All the other cognitive tests were not significantly affected by time or by gait profile. In addition, we found that ventricles size increased faster in the abnormal gait group compared to the normal gait group. In terms of prognosis, abno

Published
2023

8. Cerebral near-infrared spectroscopy monitoring (NIRS) in children and adults: a systematic review with meta-analysis

Author

Hansen ML, Hyttel-Sørensen S, Jakobsen JC, Gluud C, Kooi EMW, Mintzer J, de Boode WP, Fumagalli M, Alarcon A, Alderliesten T, Greisen G, and European Society for Paediatric Research Special Interest Group ‘NearInfraRed S

Abstract

BACKGROUND: Cerebral oxygenation monitoring utilising near-infrared spectroscopy (NIRS) is increasingly used to guide interventions in clinical care. The objective of this systematic review with meta-analysis and Trial Sequential Analysis is to evaluate the effects of clinical care with access to cerebral NIRS monitoring in children and adults versus care without. METHODS: This review conforms to PRISMA guidelines and was registered in PROSPERO (CRD42020202986). Methods are outlined in our protocol (doi: 10.1186/s13643-021-01660-2). RESULTS: Twenty-five randomised clinical trials were included (2606 participants). All trials were at a high risk of bias. Two trials assessed the effects of NIRS during neonatal intensive care, 13 during cardiac surgery, 9 during non-cardiac surgery and 1 during neurocritical care. Meta-analyses showed no significant difference for all-cause mortality (RR 0.75, 95% CI 0.51-1.10; 1489 participants; I(2) = 0; 11 trials; very low certainty of evidence); moderate or severe, persistent cognitive or neurological deficit (RR 0.74, 95% CI 0.42-1.32; 1135 participants; I(2) = 39.6; 9 trials; very low certainty of evidence); and serious adverse events (RR 0.82; 95% CI 0.67-1.01; 2132 participants; I(2) = 68.4; 17 trials; very low certainty of evidence). CONCLUSION: The evidence on the effects of clinical care with access to cerebral NIRS monitoring is very uncertain. IMPACT: The evidence of the effects of cerebral NIRS versus no NIRS monitoring are very uncertain for mortality, neuroprotection, and serious adverse events. Additional trials to obtain sufficient information size, focusing on lowering bias risk, are required. The first attempt to systematically review randomised clinical trials with meta-analysis to evaluate the effects of cerebral NIRS monitoring by pooling data across various clinical settings. Despite pooling data across clinical settings, study interpretation was not substantially impacted by heterogeneity. We have insufficient evidence to support or reject the clinical use of cerebral NIRS monitoring.

Published
2022

10. Central data monitoring in the multicentre randomised SafeBoosC-III trial:a pragmatic approach

Author

Olsen, M. H., Hansen, M. L., Safi, S., Jakobsen, J. C., Greisen, G., Gluud, C., Pellicer, A., Bargiel, A., Hopper, A., Truttmann, A., Klamer, A., Heuchan, A. M., Memisoglu, A., Krolak-Olejnik, B., Rzepecka, B., Loureiro, B., Lecart, C., Hagmann, C., Ergenekon, E., Hatzidaki, E., Mastretta, E., Dempsey, E., Papathoma, E., Lou, F., Dimitriou, G., Pichler, G., Vento, G., Hahn, G. H., Naulaers, G., Cheng, G., Fuchs, H., Ozkan, H., De Las Cuevas, I., Sadowska-Krawczenko, I., Tkaczyk, J., Sirc, J., Zhang, J., Mintzer, J., De Buyst, J., Mccall, K., Bober, K., Sarafidis, K., Bender, L., Lopez, L. S., Chalak, L., Yang, L., Cornette, L., Arruza, L., Baserga, M., Stocker, M., Agosti, M., Cetinkaya, M., Alsina, M., Fumagalli, M., Suarez, O. L., Otero, O., Baud, O., Zafra, P., Agergaard, P., Maton, P., Viellevoye, R., del Rio Florentino, R., Lauterbach, R., Borregas, S. P., Nesargi, S., Rite, S., Rao, S., Zeng, S., Pisoni, S., Hyttel-Sorensen, S., Fredly, S., Oguz, S., Karen, T., Szczapa, T., Gao, X., Xu, X., Yin, Z., University of Zurich, and Olsen, Markus Harboe

Subjects
Medicine (General), medicine.medical_specialty, Monitoring, Computer science, Epidemiology, Missing data, 610 Medicine & health, Health Informatics, Health informatics, 03 medical and health sciences, R5-920, 0302 clinical medicine, Documentation, Clinical trials, medicine, Humans, Medical physics, 030212 general & internal medicine, Physiologic, Premature, 2718 Health Informatics, Monitoring, Physiologic, Protocol (science), Central monitoring, business.industry, Research, Data quality, Infant, Newborn, Infant, Newborn, 10027 Clinic for Neonatology, Clinical trial, Data deviations, Mahalanobis distance, Infant, Premature, Identification (information), 10036 Medical Clinic, 030220 oncology & carcinogenesis, Good clinical practice, business, 2713 Epidemiology
Abstract

Background Data monitoring of clinical trials is a tool aimed at reducing the risks of random errors (e.g. clerical errors) and systematic errors, which include misinterpretation, misunderstandings, and fabrication. Traditional ‘good clinical practice data monitoring’ with on-site monitors increases trial costs and is time consuming for the local investigators. This paper aims to outline our approach of time-effective central data monitoring for the SafeBoosC-III multicentre randomised clinical trial and present the results from the first three central data monitoring meetings. Methods The present approach to central data monitoring was implemented for the SafeBoosC-III trial, a large, pragmatic, multicentre, randomised clinical trial evaluating the benefits and harms of treatment based on cerebral oxygenation monitoring in preterm infants during the first days of life versus monitoring and treatment as usual. We aimed to optimise completeness and quality and to minimise deviations, thereby limiting random and systematic errors. We designed an automated report which was blinded to group allocation, to ease the work of data monitoring. The central data monitoring group first reviewed the data using summary plots only, and thereafter included the results of the multivariate Mahalanobis distance of each centre from the common mean. The decisions of the group were manually added to the reports for dissemination, information, correcting errors, preventing furture errors and documentation. Results The first three central monitoring meetings identified 156 entries of interest, decided upon contacting the local investigators for 146 of these, which resulted in correction of 53 entries. Multiple systematic errors and protocol violations were identified, one of these included 103/818 randomised participants. Accordingly, the electronic participant record form (ePRF) was improved to reduce ambiguity. Discussion We present a methodology for central data monitoring to optimise quality control and quality development. The initial results included identification of random errors in data entries leading to correction of the ePRF, systematic protocol violations, and potential protocol adherence issues. Central data monitoring may optimise concurrent data completeness and may help timely detection of data deviations due to misunderstandings or fabricated data.

Published
2021
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12. Normal regional tissue oxygen saturation in neonates: a systematic qualitative review

Author

Bruckner M, Wolfsberger CH, Dempsey EM, Liem KD, Lemmers P, Alderliesten T, Alarcon A, Mintzer J, de Boode WP, Schmölzer GM, Pichler G, and ESPR Special Interest Group 'Near InfraRed Spectroscopy' (NIRS)

Abstract

BACKGROUND: The aim of this systematic qualitative review was to give an overview of reference ranges defined as normal values or centile charts of regional tissue oxygen saturation measured by near-infrared spectroscopy (NIRS) in term and preterm neonates. METHODS: A systematic search of MEDLINE, EMBASE, and Cochrane Central Register of Controlled Trials was performed. Additional articles were identified by manual search of cited references. Only human studies in neonates were included. RESULTS: Nineteen studies were identified. Eight described regional tissue oxygen saturation during fetal-to-neonatal transition, six during the first 3 days after birth, four during the first 7 days after birth, and one during the first 8 weeks after birth. Nine described regional tissue oxygen saturation in term, nine in preterm neonates, and one in both. Eight studies published centile charts for cerebral regional tissue oxygen saturation, and only five included large cohorts of infants. Eleven studies described normal values for cerebral, muscle, renal, and abdominal regional tissue oxygen saturation, the majority with small sample sizes. Four studies of good methodological quality were identified describing centile charts of cerebral regional tissue oxygen saturation. CONCLUSIONS: In clinical settings, quality centile charts are available and should be the preferred method when using NIRS monitoring. IMPACT: Near-infrared spectroscopy (NIRS) enables a bed-side non-invasive continuous monitoring of tissue oxygenation. When using NIRS monitoring in a clinical setting, centile charts with good quality are available and should be preferred to normal values. High-quality reference ranges of regional tissue oxygenation in term and preterm born neonates are an important step toward routine clinical application of NIRS.

Published
2021

13. Diagnostic criteria for apathy in neurocognitive disorders

Author

Miller, DS, Robert, P, Ereshefsky, L, Adler, L, Bateman, D, Cummings, J, DeKosky, ST, Fischer, CE, Husain, M, Ismail, Z, Jaeger, J, Lerner, AJ, Li, A, Lyketsos, CG, Manera, V, Mintzer, J, Moebius, HJ, Mortby, M ; https://orcid.org/0000-0002-9568-6628, Meulien, D, Pollentier, S, Porsteinsson, A, Rasmussen, J, Rosenberg, PB, Ruthirakuhan, MT, Sano, M, Zucchero Sarracini, C, Lanctôt, KL, Miller, DS, Robert, P, Ereshefsky, L, Adler, L, Bateman, D, Cummings, J, DeKosky, ST, Fischer, CE, Husain, M, Ismail, Z, Jaeger, J, Lerner, AJ, Li, A, Lyketsos, CG, Manera, V, Mintzer, J, Moebius, HJ, Mortby, M ; https://orcid.org/0000-0002-9568-6628, Meulien, D, Pollentier, S, Porsteinsson, A, Rasmussen, J, Rosenberg, PB, Ruthirakuhan, MT, Sano, M, Zucchero Sarracini, C, and Lanctôt, KL

Abstract

Introduction: Apathy is common in neurocognitive disorders (NCD) but NCD-specific diagnostic criteria are needed. Methods: The International Society for CNS Clinical Trials Methodology Apathy Work Group convened an expert group and sought input from academia, health-care, industry, and regulatory bodies. A modified Delphi methodology was followed, and included an extensive literature review, two surveys, and two meetings at international conferences, culminating in a consensus meeting in 2019. Results: The final criteria reached consensus with more than 80% agreement on all parts and included: limited to people with NCD; symptoms persistent or frequently recurrent over at least 4 weeks, a change from the patient's usual behavior, and including one of the following: diminished initiative, diminished interest, or diminished emotional expression/responsiveness; causing significant functional impairment and not exclusively explained by other etiologies. Discussion: These criteria provide a framework for defining apathy as a unique clinical construct in NCD for diagnosis and further research.

Published
2021

14. Near-infrared spectroscopy for perioperative assessment and neonatal interventions.

Author

Pellicer A., Neunhoeffer F., Schuhmann M.U., Breindahl M., Fumagelli M., Mintzer J., de Boode W., Alarcon A., Alderliesten T., Austin T., Bruckner M., de Boode W.P., Dempsey G., Ergenekon E., Fumagalli M., Greisen G., Gucuyener K., Hahn G.H., Kalish B.T., Kooi E., Lee-Summers J., Lemmers P., Levy P.T., Liem K.D., Hansen M.L., Martini S., Naulaers G., Pichler G., Rhee C., Roehr C.C., Roll C., Schwarz C.E., da Costa C.S., Szczapa T., Urlesberger B., Wolf M., Wong F., Pellicer A., Neunhoeffer F., Schuhmann M.U., Breindahl M., Fumagelli M., Mintzer J., de Boode W., Alarcon A., Alderliesten T., Austin T., Bruckner M., de Boode W.P., Dempsey G., Ergenekon E., Fumagalli M., Greisen G., Gucuyener K., Hahn G.H., Kalish B.T., Kooi E., Lee-Summers J., Lemmers P., Levy P.T., Liem K.D., Hansen M.L., Martini S., Naulaers G., Pichler G., Rhee C., Roehr C.C., Roll C., Schwarz C.E., da Costa C.S., Szczapa T., Urlesberger B., Wolf M., and Wong F.

Abstract

Perioperative applications of near-infrared spectroscopy (NIRS) to monitor regional tissue oxygenation and perfusion in cardiac and noncardiac surgery are of increasing interest in neonatal care. Complex neonatal surgery can impair adequate oxygen delivery and tissue oxygen consumption and increase the risk of neurodevelopmental delay. Coupled with conventional techniques, NIRS monitoring may enable targeted hemodynamic management of the circulation in both cardiac and noncardiac surgical procedures. In this narrative review, we discuss the application of perioperative NIRS in specific neonatal interventions, including surgical intervention for congenital heart defects, definitive closure of the patent ductus arteriosus, neurological and gastrointestinal disorders, and use of extracorporeal membrane oxygenation. We identified areas for future research within disease-specific indications and offer a roadmap to aid in developing evidence-based targeted diagnostic and management strategies in neonates. Impact: There is growing recognition that perioperative NIRS monitoring, used in conjunction with conventional monitoring, may provide critical hemodynamic information that either complements clinical impressions or delivers novel physiologic insight into the neonatal circulatory and perfusion pathways.Copyright © 2021, The Author(s), under exclusive licence to the International Pediatric Research Foundation, Inc.

Published
2021

15. Practical recommendations for timely, accurate diagnosis of symptomatic Alzheimer’s disease (MCI and dementia) in primary care: a review and synthesis

Author

Liss, J. L., primary, Seleri Assunção, S., additional, Cummings, J., additional, Atri, A., additional, Geldmacher, D. S., additional, Candela, S. F., additional, Devanand, D. P., additional, Fillit, H. M., additional, Susman, J., additional, Mintzer, J., additional, Bittner, T., additional, Brunton, S. A., additional, Kerwin, D. R., additional, Jackson, W. C., additional, Small, G. W., additional, Grossberg, G. T., additional, Clevenger, C. K., additional, Cotter, V., additional, Stefanacci, R., additional, Wise‐Brown, A., additional, and Sabbagh, M. N., additional

Published
2021
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21. A blood-based signature of cerebrospinal fluid A beta(1-42) status

Author

Goudey, B., Fung, B.J., Schieber, C., Faux, N.G., Weiner, M.W., Aisen, P., Petersen, R., Jack, C.R., Jagust, W., Trojanowki, J.Q., Toga, A.W., Beckett, L., Green, R.C., Saykin, A.J., Morris, J., Shaw, L.M., Kaye, J., Quinn, J., Silbert, L., Lind, B., Carter, R., Dolen, S., Schneider, L.S., Pawluczyk, S., Beccera, M., Teodoro, L., Spann, B.M., Brewer, J., Vanderswag, H., Fleisher, A., Heidebrink, J.L., Lord, J.L., Mason, S.S., Albers, C.S., Knopman, D., Johnson, K., Doody, R.S., Villanueva-Meyer, J., Chowdhury, M., Rountree, S., Dang, M., Stern, Y., Honig, L.S., Bell, K.L., Ances, B., Morris, J.C., Carroll, M., Creech, M.L., Franklin, E., Mintun, M.A., Schneider, S., Oliver, A., Marson, D., Griffth, R., Clark, D., Geldmacher, D., Brockington, J., Roberson, E., Natelson Love, M., Grossman, H., Mitsis, E., Shah, R.C., deToledo-Morrell, L., Duara, R., Varon, D., Greig, M.T., Roberts, P., Albert, M., Onyike, C., D'Agostino, D., Kielb, S., Galvin, J.E., Cerbone, B., Michel, C.A., Pogorelec, D.M., Rusinek, H., Leon, M.J. de, Glodzik, L., De Santi, S., Doraiswamy, P.M., Petrella, J.R., Borges-Neto, S., Wong, T.Z., Coleman, E., Smith, C.D., Jicha, G., Hardy, P., Sinha, P., Oates, E., Conrad, G., Porsteinsson, A.P., Goldstein, B.S., Martin, K., Makino, K.M., Ismail, M.S., Brand, C., Mulnard, R.A., Thai, G., McAdams-Ortiz, C., Womack, K., Mathews, D., Quiceno, M., Levey, A.I., Lah, J.J., Cellar, J.S., Burns, J.M., Swerdlow, R.H., Brooks, W.M., Apostolova, L., Tingus, K., Woo, E., Silverman, D.H.S., Lu, P.H., Bartzokis, G., Graff-Radford, N.R., Parftt, F., Kendall, T., Johnson, H., Farlow, M.R., Hake, A.M., Matthews, B.R., Brosch, J.R., Herring, S., Hunt, C., Dyck, .H. van, Carson, R.E., MacAvoy, M.G., Varma, P., Chertkow, H., Bergman, H., Hosein, C., Black, S., Stefanovic, B., Caldwell, C., Hsiung, Ging-Yuek Robin, Feldman, H., Mudge, B., Assaly, M., Finger, E., Pasternack, S., Rachisky, I., Trost, D., Kertesz, A., Bernick, C., Munic, D., Mesulam, M.-M., Lipowski, K., Weintraub, S., Bonakdarpour, B., Kerwin, D., Wu, C.-K., Johnson, N., Sadowsky, C., Villena, T., Turner, R.S., Reynolds, B., Sperling, R.A., Johnson, K.A., Marshall, G., Yesavage, J., Taylor, J.L., Lane, B., Rosen, A., Tinklenberg, J., Sabbagh, M.N., Belden, C.M., Jacobson, S.A., Sirrel, S.A., Kowall, N., Killiany, R., Budson, A.E., Norbash, A., Johnson, P.L., Obisesan, T.O., Wolday, S., Allard, J., Lerner, A., Ogrocki, P., Tatsuoka, C., Fatica, P., Fletcher, E., Maillard, P., Olichney, J., DeCarli, C., Carmichael, O., Kittur, S., Borrie, M., Lee, T.-Y., Bartha, R., Johnson, S., Asthana, S., Carlsson, C.M., Potkin, S.G., Preda, A., Nguyen, D., Tariot, P., Burke, A., Trncic, N., Reeder, S., Bates, V., Capote, H., Rainka, M., Scharre, D.W., Kataki, M., Adeli, A., Zimmerman, E.A., Celmins, D., Brown, A.D., Pearlson, G.D., Blank, K., Anderson, K., Flashman, L.A., Seltzer, M., Hynes, M.L., Santulli, R.B., Sink, K.M., Gordineer, L., Williamson, J.D., Garg, P., Watkins, F., Ott, B.R., Querfurth, H., Tremont, G., Salloway, S., Malloy, P., Correia, S., Rosen, H.J., Miller, B.L., Perry, D., Mintzer, J., Spicer, K., Bachman, D., Pomara, N., Hernando, R., Sarrael, A., Relkin, N., Chaing, G., Lin, M., Ravdin, L., Smith, A., Raj, B.A., Fargher, K., Saykin, A., Nho, K., Kling, M., Toledo, J., Shaw, L., Trojanowski, J., Farrer, L., Kastsenmueller, G., Arnold, M., Wishart, D., Wurtz, P., Bhattcharyya, S., Duijin, C. van, Mangravite, L., Han, X., Hankemeier, T., Fiehn, O., Barupal, D., Thiele, I., Heinken, A., Meikle, P., Price, N., Funk, C., Jia, W., Kueider-Paisley, A., Tenebaum, J., Black, C., Moseley, A., Thompson, W., Mahmoudiandehkorki, S., Baillie, R., Welsh-Bohmer, K., Plassman, B., and Epidemiology

Subjects
Male, 0301 basic medicine, Apolipoprotein E, Oncology, medicine.medical_specialty, Amyloid, Amyloid beta, lcsh:Medicine, Article, 03 medical and health sciences, Apolipoproteins E, 0302 clinical medicine, Cerebrospinal fluid, Alzheimer Disease, Predictive Value of Tests, Internal medicine, medicine, Humans, Dementia, Cognitive decline, lcsh:Science, Aged, Aged, 80 and over, Amyloid beta-Peptides, Multidisciplinary, biology, Chemokine CCL26, business.industry, lcsh:R, Alzheimer’s Disease Metabolomics Consortium, Alzheimer’s Disease Neuroimaging Initiative, medicine.disease, Peptide Fragments, 3. Good health, 030104 developmental biology, biology.protein, Chromogranin A, Female, lcsh:Q, Alzheimer's disease, business, Biomarkers, 030217 neurology & neurosurgery, Alzheimer's Disease Neuroimaging Initiative
Abstract

It is increasingly recognized that Alzheimer’s disease (AD) exists before dementia is present and that shifts in amyloid beta occur long before clinical symptoms can be detected. Early detection of these molecular changes is a key aspect for the success of interventions aimed at slowing down rates of cognitive decline. Recent evidence indicates that of the two established methods for measuring amyloid, a decrease in cerebrospinal fluid (CSF) amyloid β1−42 (Aβ1−42) may be an earlier indicator of Alzheimer’s disease risk than measures of amyloid obtained from Positron Emission Tomography (PET). However, CSF collection is highly invasive and expensive. In contrast, blood collection is routinely performed, minimally invasive and cheap. In this work, we develop a blood-based signature that can provide a cheap and minimally invasive estimation of an individual’s CSF amyloid status using a machine learning approach. We show that a Random Forest model derived from plasma analytes can accurately predict subjects as having abnormal (low) CSF Aβ1−42 levels indicative of AD risk (0.84 AUC, 0.78 sensitivity, and 0.73 specificity). Refinement of the modeling indicates that only APOEε4 carrier status and four plasma analytes (CGA, Aβ1−42, Eotaxin 3, APOE) are required to achieve a high level of accuracy. Furthermore, we show across an independent validation cohort that individuals with predicted abnormal CSF Aβ1−42 levels transitioned to an AD diagnosis over 120 months significantly faster than those with predicted normal CSF Aβ1−42 levels and that the resulting model also validates reasonably across PET Aβ1−42 status (0.78 AUC). This is the first study to show that a machine learning approach, using plasma protein levels, age and APOEε4 carrier status, is able to predict CSF Aβ1−42 status, the earliest risk indicator for AD, with high accuracy.

Published
2019
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22. Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference

Author

Young, A. L., Marinescu, R. V., Oxtoby, N. P., Bocchetta, M., Yong, K., Firth, N. C., Cash, D. M., Thomas, D. L., Dick, K. M., Cardoso, J., van Swieten, J., Borroni, B., Galimberti, D., Masellis, M., Tartaglia, M. C., Rowe, J. B., Graff, C., Tagliavini, F., Frisoni, G. B., Laforce, R., Finger, E., de Mendonca, A., Sorbi, S., Warren, J. D., Crutch, S., Fox, N. C., Ourselin, S., Schott, J. M., Rohrer, J. D., Alexander, D. C., Andersson, C., Archetti, S., Arighi, A., Benussi, L., Binetti, G., Black, S., Cosseddu, M., Fallstrom, M., Ferreira, C., Fenoglio, C., Freedman, M., Fumagalli, G. G., Gazzina, S., Ghidoni, R., Grisoli, M., Jelic, V., Jiskoot, L., Keren, R., Lombardi, G., Maruta, C., Meeter, L., Mead, S., van Minkelen, R., Nacmias, B., Oijerstedt, L., Padovani, A., Panman, J., Pievani, M., Polito, C., Premi, E., Prioni, S., Rademakers, R., Redaelli, V., Rogaeva, E., Rossi, G., Rossor, M., Scarpini, E., Tang-Wai, D., Thonberg, H., Tiraboschi, P., Verdelho, A., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., Trojanowki, J. Q., Toga, A. W., Beckett, L., Green, R. C., Saykin, A. J., Morris, J., Shaw, L. M., Khachaturian, Z., Sorensen, G., Kuller, L., Raichle, M., Paul, S., Davies, P., Fillit, H., Hefti, F., Holtzman, D., Mesulam, M. M., Potter, W., Snyder, P., Schwartz, A., Montine, T., Thomas, R. G., Donohue, M., Walter, S., Gessert, D., Sather, T., Jiminez, G., Harvey, D., Bernstein, M., Thompson, P., Schuff, N., Borowski, B., Gunter, J., Senjem, M., Vemuri, P., Jones, D., Kantarci, K., Ward, C., Koeppe, R. A., Foster, N., Reiman, E. M., Chen, K., Mathis, C., Landau, S., Cairns, N. J., Householder, E., Taylor-Reinwald, L., Lee, V., Korecka, M., Figurski, M., Crawford, K., Neu, S., Foroud, T. M., Potkin, S., Shen, L., Faber, K., Kim, S., Nho, K., Thal, L., Buckholtz, N., Albert, M., Frank, R., Hsiao, J., Kaye, J., Quinn, J., Lind, B., Carter, R., Dolen, S., Schneider, L. S., Pawluczyk, S., Beccera, M., Teodoro, L., Spann, B. M., Brewer, J., Vanderswag, H., Fleisher, A., Heidebrink, J. L., Lord, J. L., Mason, S. S., Albers, C. S., Knopman, D., Johnson, K., Doody, R. S., Villanueva-Meyer, J., Chowdhury, M., Rountree, S., Dang, M., Stern, Y., Honig, L. S., Bell, K. L., Ances, B., Carroll, M., Leon, S., Mintun, M. A., Schneider, S., Oliver, A., Marson, D., Griffith, R., Clark, D., Geldmacher, D., Brockington, J., Roberson, E., Grossman, H., Mitsis, E., de Toledo-Morrell, L., Shah, R. C., Duara, R., Varon, D., Greig, M. T., Roberts, P., Onyike, C., D'Agostino, D., Kielb, S., Galvin, J. E., Cerbone, B., Michel, C. A., Rusinek, H., de Leon, M. J., Glodzik, L., De Santi, S., Doraiswamy, P. M., Petrella, J. R., Wong, T. Z., Arnold, S. E., Karlawish, J. H., Wolk, D., Smith, C. D., Jicha, G., Hardy, P., Sinha, P., Oates, E., Conrad, G., Lopez, O. L., Oakley, M. A., Simpson, D. M., Porsteinsson, A. P., Goldstein, B. S., Martin, K., Makino, K. M., Ismail, M. S., Brand, C., Mulnard, R. A., Thai, G., Mc-Adams-Ortiz, C., Womack, K., Mathews, D., Quiceno, M., Diaz-Arrastia, R., King, R., Weiner, M., Martin-Cook, K., Devous, M., Levey, A. I., Lah, J. J., Cellar, J. S., Burns, J. M., Anderson, H. S., Swerdlow, R. H., Apostolova, L., Tingus, K., Woo, E., Silverman, D. H., P. H., Lu, Bartzokis, G., Graff-Radford, N. R., Parfitt, F., Kendall, T., Johnson, H., Farlow, M. R., Hake, A. M., Matthews, B. R., Herring, S., Hunt, C., van Dyck, C. H., Carson, R. E., Macavoy, M. G., Chertkow, H., Bergman, H., Hosein, C., Stefanovic, B., Caldwell, C., Hsiung, G. -Y. R., Feldman, H., Mudge, B., Assaly, M., Kertesz, A., Rogers, J., Bernick, C., Munic, D., Kerwin, D., Mesulam, M. -M., Lipowski, K., C. -K., Wu, Johnson, N., Sadowsky, C., Martinez, W., Villena, T., Turner, R. S., Reynolds, B., Sperling, R. A., Johnson, K. A., Marshall, G., Frey, M., Lane, B., Rosen, A., Tinklenberg, J., Sabbagh, M. N., Belden, C. M., Jacobson, S. A., Sirrel, S. A., Kowall, N., Killiany, R., Budson, A. E., Norbash, A., Johnson, P. L., Allard, J., Lerner, A., Ogrocki, P., Hudson, L., Fletcher, E., Carmichael, O., Olichney, J., Decarli, C., Kittur, S., Borrie, M., Lee, T. -Y., Bartha, R., Johnson, S., Asthana, S., Carlsson, C. M., Potkin, S. G., Preda, A., Nguyen, D., Tariot, P., Reeder, S., Bates, V., Capote, H., Rainka, M., Scharre, D. W., Kataki, M., Adeli, A., Zimmerman, E. A., Celmins, D., Brown, A. D., Pearlson, G. D., Blank, K., Anderson, K., Santulli, R. B., Kitzmiller, T. J., Schwartz, E. S., Sink, K. M., Williamson, J. D., Garg, P., Watkins, F., Ott, B. R., Querfurth, H., Tremont, G., Salloway, S., Malloy, P., Correia, S., Rosen, H. J., Miller, B. L., Mintzer, J., Spicer, K., Bachman, D., Pasternak, S., Rachinsky, I., Drost, D., Pomara, N., Hernando, R., Sarrael, A., Schultz, S. K., Ponto, L. L. B., Shim, H., Smith, K. E., Relkin, N., Chaing, G., Raudin, L., Smith, A., Fargher, K., Raj, B. A., Neylan, T., Grafman, J., Davis, M., Morrison, R., Hayes, J., Finley, S., Friedl, K., Fleischman, D., Arfanakis, K., James, O., Massoglia, D., Fruehling, J. J., Harding, S., Peskind, E. R., Petrie, E. C., Li, G., Yesavage, J. A., Taylor, J. L., and Furst, A. J.

Published
2018

30. Genome-wide scan of healthy human connectome discovers SPON1 gene variant influencing dementia severity

Author

Jahanshad, N., Rajagopalan, P., Hua, X., Hibar, D. P., Nir, T. M., Toga, A. W., Jack, C. R., Saykin, A. J., Green, R. C., Weiner, M. W., Medland, S. E., Montgomery, G. W., Hansell, N. K., McMahon, K. L., de Zubicaray, G. I., Martin, N. G., Wright, M. J., Thompson, P. M., the Alzheimer's Disease Neuroimaging Initiative, Weiner, M., Aisen, P., Petersen, R., Jagust, W., Trojanowski, J. Q., Beckett, L., Morris, J., Liu, E., Montine, T., Gamst, A., Thomas, R. G., Donohue, M., Walter, S., Gessert, D., Sather, T., Harvey, D., Kornak, J., Dale, A., Bernstein, M., Felmlee, J., Fox, N., Thompson, P., Schuff, N., Alexander, G., DeCarli, C., Bandy, D., Koeppe, R. A., Foster, N., Reiman, E. M., Chen, K., Mathis, C., Cairns, N. J., Taylor-Reinwald, L., Trojanowki, J. Q., Shaw, L., Lee, V. M. Y., Korecka, M., Crawford, K., Neu, S., Foroud, T. M., Potkin, S., Shen, L., Khachaturian, Z., Frank, R., Snyder, P. J., Molchan, S., Kaye, J., Quinn, J., Lind, B., Dolen, S., Schneider, L. S., Pawluczyk, S., Spann, B. M., Brewer, J., Vanderswag, H., Heidebrink, J. L., Lord, J. L., Johnson, K., Doody, R. S., Villanueva-Meyer, J., Chowdhury, M., Stern, Yaakov, Honig, L. S., Bell, K. L., Morris, J. C., Ances, B., Carroll, M., Leon, S., Mintun, M. A., Schneider, S., Marson, D., Griffith, R., Clark, D., Grossman, H., Mitsis, E., Romirowsky, A., deToledo-Morrell, L., Shah, R. C., Duara, R., Varon, D., Roberts, P., Albert, M., Onyike, C., Kielb, S., Rusinek, H., de Leon, M. J., Glodzik, L., De Santi, S., Doraiswamy, P. M., Petrella, J. R., Coleman, R. E., Arnold, S. E., Karlawish, J. H., Wolk, D., Smith, C. D., Jicha, G., Hardy, P., Lopez, O. L., Oakley, M., Simpson, D. M., Porsteinsson, A. P., Goldstein, B. S., Martin, K., Makino, K. M., Ismail, M. S., Brand, C., Mulnard, R. A., Thai, G., Mc-Adams-Ortiz, C., Womack, K., Mathews, D., Quiceno, M., Diaz-Arrastia, R., King, R., Martin-Cook, K., DeVous, M., Levey, A. I., Lah, J. J., Cellar, J. S., Burns, J. M., Anderson, H. S., Swerdlow, R. H., Apostolova, L., Lu, P. H., Bartzokis, G., Silverman, D. H. S., Graff-Radford, N. R., Parfitt, F., Johnson, H., Farlow, M. R., Hake, A. M., Matthews, B. R., Herring, S., van Dyck, C. H., Carson, R. E., MacAvoy, M. G., Chertkow, H., Bergman, H., Hosein, C., Black, S., Stefanovic, B., Caldwell, C., Hsiung, G.-Y. R., Feldman, H., Mudge, B., Assaly, M., Kertesz, A., Rogers, J., Trost, D., Bernick, C., Munic, D., Kerwin, D., Mesulam, M.-M., Lipowski, K., Wu, C.-K., Johnson, N., Sadowsky, C., Martinez, W., Villena, T., Turner, R. S., Reynolds, B., Sperling, R. A., Johnson, K. A., Marshall, G., Frey, M., Yesavage, J., Taylor, J. L., Lane, B., Rosen, A., Tinklenberg, J., Sabbagh, M., Belden, C., Jacobson, S., Kowall, N., Killiany, R., Budson, A. E., Norbash, A., Johnson, P. L., Obisesan, T. O., Wolday, S., Bwayo, S. K., Lerner, A., Hudson, L., Ogrocki, P., Fletcher, E., Carmichael, O., Olichney, J., Kittur, S., Borrie, M., Lee, T.- Y., Bartha, R., Johnson, S., Asthana, S., Carlsson, C. M., Potkin, S. G., Preda, A., Nguyen, D., Tariot, P., Fleisher, A., Reeder, S., Bates, V., Capote, H., Rainka, M., Scharre, D. W., Kataki, M., Zimmerman, E. A., Celmins, D., Brown, A. D., Pearlson, G. D., Blank, K., Anderson, K., Santulli, R. B., Schwartz, E. S., Sink, K. M., Williamson, J. D., Garg, P., Watkins, F., Ott, B. R., Querfurth, H., Tremont, G., Salloway, S., Malloy, P., Correia, S., Rosen, H. J., Miller, B. L., Mintzer, J., Longmire, C. F., Spicer, K., Finger, E., Rachinsky, I., and Drost, D.

Published
2013
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31. Association of common genetic variants in GPCPD1 with scaling of visual cortical surface area in humans

Author

Bakken, TE, Roddey, JC, Djurovic, S, Akshoomoff, N, Amaral, DG, Bloss, CS, Casey, BJ, Chang, L, Ernst, TM, Gruen, JR, Jernigan, TL, Kaufmann, WE, Kenet, T, Kennedy, DN, Kuperman, JM, Murray, SS, Sowell, ER, Rimol, LM, Mattingsdal, M, Melle, I, Agartz, I, Andreassen, OA, Schork, NJ, Dale, AM, Alzheimer’s Disease Neuroimaging Initiative, Pediatric Imaging, Neurocognition, Genetics Study, Weiner, M, Aisen, P, Petersen, R, Jack, CR, Jr, Jagust, W, Trojanowki, JQ, Toga, AW, Beckett, L, Green, RC, Saykin, AJ, Morris, J, Liu, E, Montine, T, Gamst, A, Thomas, RG, Donohue, M, Walter, S, Gessert, D, Sather, T, Harvey, D, Kornak, J, Dale, A, Bernstein, M, Felmlee, J, Fox, N, Thompson, P, Schuff, N, Alexander, G, DeCarli, C, Bandy, D, Koeppe, RA, Foster, N, Reiman, EM, Chen, K, Mathis, C, Cairns, NJ, Taylor-Reinwald, L, Shaw, L, Lee, VM, Korecka, M, Crawford, K, Neu, S, Foroud, TM, Potkin, S, Shen, L, Kachaturian, Z, Frank, R, Snyder, PJ, Molchan, S, Kaye, J, Quinn, J, Lind, B, Dolen, S, Schneider, LS, Pawluczyk, S, Spann, BM, Brewer, J, Vanderswag, H, Heidebrink, JL, Lord, JL, Johnson, K, Doody, RS, Villanueva-Meyer, J, Chowdhury, M, Stern, Yaakov, Honig, LS, Bell, KL, Morris, JC, Ances, B, Carroll, M, Leon, S, Mintun, MA, Schneider, S, Marson, D, Griffith, R, Clark, D, Grossman, H, Mitsis, E, Romirowsky, A, deToledo-Morrell, L, Shah, RC, Duara, R, Varon, D, Roberts, P, Albert, M, Onyike, C, Kielb, S, Rusinek, H, de, Leon, MJ, Glodzik, L, De, Santi, S, Doraiswamy, PM, Petrella, JR, Coleman, RE, Arnold, SE, Karlawish, JH, Wolk, D, Smith, CD, Jicha, G, Hardy, P, Lopez, OL, Oakley, M, Simpson, DM, Porsteinsson, AP, Goldstein, BS, Martin, K, Makino, KM, Ismail, MS, Brand, C, Mulnard, RA, Thai, G, Mc-Adams-Ortiz, C, Womack, K, Mathews, D, Quiceno, M, Diaz-Arrastia, R, King, R, Martin-Cook, K, DeVous, M, Levey, AI, Lah, JJ, Cellar, JS, Burns, JM, Anderson, HS, Swerdlow, RH, Apostolova, L, Lu, PH, Bartzokis, G, Silverman, DH, Graff-Radford, NR, Parfitt, F, Johnson, H, Farlow, MR, Hake, AM, Matthews, BR, Herring, S, van, Dyck, CH, Carson, RE, MacAvoy, MG, Chertkow, H, Bergman, H, Hosein, C, Black, S, Stefanovic, B, Caldwell, C, Ging-Yuek, Hsiung, R, Feldman, H, Mudge, B, Assaly, M, Kertesz, A, Rogers, J, Trost, D, Bernick, C, Munic, D, Kerwin, D, Mesulam, MM, Lipowski, K, Wu, CK, Johnson, N, Sadowsky, C, Martinez, W, Villena, T, Turner, RS, Reynolds, B, Sperling, RA, Johnson, KA, Marshall, G, Frey, M, Yesavage, J, Taylor, JL, Lane, B, Rosen, A, Tinklenberg, J, Sabbagh, M, Belden, C, Jacobson, S, Kowall, N, Killiany, R, Budson, AE, Norbash, A, Johnson, PL, Obisesan, TO, Wolday, S, Bwayo, SK, Lerner, A, Hudson, L, Ogrocki, P, Fletcher, E, Carmichael, O, Olichney, J, Kittur, S, Borrie, M, Lee, TY, Bartha, R, Johnson, S, Asthana, S, Carlsson, CM, Potkin, SG, Preda, A, Nguyen, D, Tariot, P, Fleisher, A, Reeder, S, Bates, V, Capote, H, Rainka, M, Scharre, DW, Kataki, M, Zimmerman, EA, Celmins, D, Brown, AD, Pearlson, GD, Blank, K, Anderson, K, Santulli, RB, Schwartz, ES, Sink, KM, Williamson, JD, Garg, P, Watkins, F, Ott, BR, Querfurth, H, Tremont, G, Salloway, S, Malloy, P, Correia, S, Rosen, HJ, Miller, BL, Mintzer, J, Longmire, CF, Spicer, K, Finger, E, Rachinsky, I, Drost, D, Jernigan, T, McCabe, C, Grant, E, Ernst, T, Kuperman, J, Chung, Y, Murray, S, Bloss, C, Darst, B, Pritchett, L, Saito, A, Amaral, D, DiNino, M, Eyngorina, B, Sowell, E, Houston, S, Soderberg, L, Kaufmann, W, van, Zijl, P, Rizzo-Busack, H, Javid, M, Mehta, N, Ruberry, E, Powers, A, Rosen, B, Gebhard, N, Manigan, H, Frazier, J, Kennedy, D, Yakutis, L, Hill, M, Gruen, J, Bosson-Heenan, J, and Carlson, H

Subjects
anatomy & histology, pathology [Visual Cortex], Adult, Diagnostic Imaging, Male, Linkage disequilibrium, Visual perception, genetic structures, Adolescent, Genotype, Imaging genetics, methods [Diagnostic Imaging], Single-nucleotide polymorphism, Genome-wide association study, Saccharomyces cerevisiae, Biology, Polymorphism, Single Nucleotide, Cohort Studies, methods [Brain Mapping], pathology [Brain], Cortex (anatomy), Genetic variation, Medicine and Health Sciences, medicine, Humans, genetics [Phosphoric Diester Hydrolases], Aged, Visual Cortex, Genetics, Brain Mapping, Multidisciplinary, Models, Genetic, Phosphoric Diester Hydrolases, metabolism [Saccharomyces cerevisiae], Brain, Genetic Variation, Genomics, Middle Aged, Biological Sciences, Visual cortex, medicine.anatomical_structure, Female, Genome-Wide Association Study
Abstract

Visual cortical surface area varies two- to threefold between human individuals, is highly heritable, and has been correlated with visual acuity and visual perception. However, it is still largely unknown what specific genetic and environmental factors contribute to normal variation in the area of visual cortex. To identify SNPs associated with the proportional surface area of visual cortex, we performed a genome-wide association study followed by replication in two independent cohorts. We identified one SNP (rs6116869) that replicated in both cohorts and had genome-wide significant association ( P combined = 3.2 × 10 −8 ). Furthermore, a metaanalysis of imputed SNPs in this genomic region identified a more significantly associated SNP (rs238295; P = 6.5 × 10 −9 ) that was in strong linkage disequilibrium with rs6116869. These SNPs are located within 4 kb of the 5′ UTR of GPCPD1 , glycerophosphocholine phosphodiesterase GDE1 homolog ( Saccharomyces cerevisiae ), which in humans, is more highly expressed in occipital cortex compared with the remainder of cortex than 99.9% of genes genome-wide. Based on these findings, we conclude that this common genetic variation contributes to the proportional area of human visual cortex. We suggest that identifying genes that contribute to normal cortical architecture provides a first step to understanding genetic mechanisms that underlie visual perception.

Published
2012

34. Apolipoprotein E (APOE) genotype has dissociable effects on memory and attentional-executive network function in Alzheimer's disease

Author

Wolk, D. A., Dickerson, B. C., the Alzheimer's Disease Neuroimaging Initiative, Weiner, M., Aiello, M., Aisen, P., Albert, M. S., Alexander, G., Anderson, H. S., Anderson, K., Apostolova, L., Arnold, S., Ashford, W., Assaly, M., Asthana, S., Bandy, D., Bartha, R., Bates, V., Beckett, L., Bell, K. L., Benincasa, A. L., Bergman, H., Bernick, C., Bernstein, M., Black, S., Blank, K., Borrie, M., Brand, C., Brewer, J., Brown, A. D., Burns, J. M., Cairns, N. J., Caldwell, C., Capote, H., Carlsson, C. M., Carmichael, O., Cellar, J. S., Celmins, D., Chen, K., Chertkow, H., Chowdhury, M., Clark, D., Connor, D., Correia, S., Crawford, K., Dale, A., de Leon, M. J., De Santi, S. M., DeCarli, C., deToledo-Morrell, L., DeVous, M., Diaz-Arrastia, R., Dolen, S., Donohue, M., Doody, R. S., Doraiswamy, P. M., Duara, R., Englert, J., Farlow, M., Feldman, H., Felmlee, J., Fleisher, A., Fletcher, E., Foroud, T. M., Foster, N., Fox, N., Frank, R., Gamst, A., Given, C. A., Graff-Radford, N. R., Green, R. C., Griffith, R., Grossman, H., Hake, A. M., Hardy, P., Harvey, D., Heidebrink, J. L., Hendin, B. A., Herring, S., Honig, L. S., Hosein, C., Robin Hsiung, G.-Y., Hudson, L., Ismail, M. S., Jack, C. R., Jacobson, S., Jagust, W., Jayam-Trouth, A., Johnson, K., Johnson, H., Johnson, N., Johnson, K. A., Johnson, S., Kachaturian, Z., Karlawish, J. H., Kataki, M., Kaye, J., Kertesz, A., Killiany, R., Kittur, S., Koeppe, R. A., Korecka, M., Kornak, J., Kozauer, N., Lah, J. J., Laubinger, M. M., Lee, V. M.- Y., Lee, T.- Y., Lerner, A., Levey, A. I., Longmire, C. F., Lopez, O. L., Lord, J. L., Lu, P. H., MacAvoy, M. G., Malloy, P., Marson, D., Martin-Cook, K., Martinez, W., Marzloff, G., Mathis, C., Mc-Adams-Ortiz, C., Mesulam, M., Miller, B. L., Mintun, M. A., Mintzer, J., Molchan, S., Montine, T., Morris, J., Mulnard, R. A., Munic, D., Nair, A., Neu, S., Nguyen, D., Norbash, A., Oakley, M., Obisesan, T. O., Ogrocki, P., Ott, B. R., Parfitt, F., Pawluczyk, S., Pearlson, G., Petersen, R., Petrella, J. R., Potkin, S., Potter, W. Z., Preda, A., Quinn, J., Rainka, M., Reeder, S., Reiman, E. M., Rentz, D. M., Reynolds, B., Richard, J., Roberts, P., Rogers, J., Rosen, A., Rosen, H. J., Rusinek, H., Sabbagh, M., Sadowsky, C., Salloway, S., Santulli, R. B., Saykin, A. J., Scharre, D. W., Schneider, L., Schneider, S., Schuff, N., Shah, R. C., Shaw, L., Shen, L., Silverman, D. H. S., Simpson, D. M., Sink, K. M., Smith, C. D., Snyder, P. J., Spann, B. M., Sperling, R. A., Spicer, K., Stefanovic, B., Stern, Yaakov, Stopa, E., Tang, C., Tariot, P., Taylor-Reinwald, L., Thai, G., Thomas, R. G., Thompson, P., Tinklenberg, J., Toga, A. W., Tremont, G., Trojanowki, J. Q., Trost, D., Turner, R. S., van Dyck, C. H., Vanderswag, H., Varon, D., Villanueva-Meyer, J., Villena, T., Walter, S., Wang, P., Watkins, F., Williamson, J. D., Wolk, D., Wu, C.-K., Zerrate, M., and Zimmerman., E. A.

Published
2010
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36. Generative FDG-PET and MRI model of aging and disease progression in Alzheimer's disease.

Author

Alzheimer's Disease Neuroimaging Initiative, Weiner, M., Aisen, P., Petersen, R., Jack CR.<Suffix>Jr</Suffix>, Jagust, W., Trojanowki, JQ., Toga, AW., Beckett, L., Green, RC., Saykin, AJ., Morris, J., Liu, E., Montine, T., Gamst, A., Thomas, RG., Donohue, M., Walter, S., Gessert, D., Sather, T., Harvey, D., Kornak, J., Dale, A., Bernstein, M., Felmlee, J., Fox, N., Thompson, P., Schuff, N., DeCarli, C., Bandy, D., Koeppe, RA., Foster, N., Reiman, EM., Chen, K., Mathis, C., Cairns, NJ., Taylor-Reinwald, L., Shaw, L., Lee, VM., Korecka, M., Crawford, K., Neu, S., Foroud, TM., Potkin, S., Shen, L., Kachaturian, Z., Frank, R., Snyder, PJ., Molchan, S., Kaye, J., Quinn, J., Lind, B., Dolen, S., Schneider, LS., Pawluczyk, S., Spann, BM., Brewer, J., Vanderswag, H., Heidebrink, JL., Lord, JL., Johnson, K., Doody, RS., Villanueva-Meyer, J., Chowdhury, M., Stern, Y., Honig, LS., Bell, KL., Morris, JC., Ances, B., Carroll, M., Leon, S., Mintun, MA., Schneider, S., Marson, D., Griffith, R., Clark, D., Grossman, H., Mitsis, E., Romirowsky, A., deToledo-Morrell, L., Shah, RC., Duara, R., Varon, D., Roberts, P., Albert, M., Onyike, C., Kielb, S., Rusinek, H., de Leon MJ., Glodzik, L., De Santi, S., Doraiswamy, P., Petrella, JR., Coleman, R., Arnold, SE., Karlawish, JH., Wolk, D., Smith, CD., Jicha, G., Hardy, P., Lopez, OL., Oakley, M., Simpson, DM., Porsteinsson, AP., Goldstein, BS., Martin, K., Makino, KM., Ismail, M., Brand, C., Mulnard, RA., Thai, G., Mc-Adams-Ortiz, C., Womack, K., Mathews, D., Quiceno, M., Diaz-Arrastia, R., King, R., Martin-Cook, K., DeVous, M., Levey, AI., Lah, JJ., Cellar, JS., Burns, JM., Anderson, HS., Swerdlow, RH., Apostolova, L., Lu, PH., Bartzokis, G., Silverman, DH., Graff-Radford, NR., Parfitt, F., Johnson, H., Farlow, MR., Hake, AM., Matthews, BR., Herring, S., van Dyck CH., Carson, RE., MacAvoy, MG., Chertkow, H., Bergman, H., Hosein, C., Black, S., Stefanovic, B., Caldwell, C., Hsiung, GY., Feldman, H., Mudge, B., Assaly, M., Kertesz, A., 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Abstract

The failure of current strategies to provide an explanation for controversial findings on the pattern of pathophysiological changes in Alzheimer's Disease (AD) motivates the necessity to develop new integrative approaches based on multi-modal neuroimaging data that captures various aspects of disease pathology. Previous studies using [18F]fluorodeoxyglucose positron emission tomography (FDG-PET) and structural magnetic resonance imaging (sMRI) report controversial results about time-line, spatial extent and magnitude of glucose hypometabolism and atrophy in AD that depend on clinical and demographic characteristics of the studied populations. Here, we provide and validate at a group level a generative anatomical model of glucose hypo-metabolism and atrophy progression in AD based on FDG-PET and sMRI data of 80 patients and 79 healthy controls to describe expected age and symptom severity related changes in AD relative to a baseline provided by healthy aging. We demonstrate a high level of anatomical accuracy for both modalities yielding strongly age- and symptom-severity- dependant glucose hypometabolism in temporal, parietal and precuneal regions and a more extensive network of atrophy in hippocampal, temporal, parietal, occipital and posterior caudate regions. The model suggests greater and more consistent changes in FDG-PET compared to sMRI at earlier and the inversion of this pattern at more advanced AD stages. Our model describes, integrates and predicts characteristic patterns of AD related pathology, uncontaminated by normal age effects, derived from multi-modal data. It further provides an integrative explanation for findings suggesting a dissociation between early- and late-onset AD. The generative model offers a basis for further development of individualized biomarkers allowing accurate early diagnosis and treatment evaluation.

Published
2013

50. Connecting Overseas..

Author

Mintzer, J.

Subjects
Telecommunications, Leased Line, Telecommunications Industry, Telecommunications Services Industry, Value-Added Carriers, E-Mail, United Kingdom, Western Union Corp. -- Marketing
Published
1985

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