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3. Modulation of limbic resting-state networks by subthalamic nucleus deep brain stimulation

Author

Eraifej, J., Cabral, J., Fernandes, H., Kahan, J., He, S., Mancini, L., Thornton, J., White, M., Yousry, T., Zrinzo, L., Akram, H., Limousin, P., Foltynie, T., Aziz, T., Deco, G., Kringelbach, M., and Green, A.

Subjects
Artificial Intelligence, Applied Mathematics, General Neuroscience, Computer Science Applications
Abstract

Beyond the established effects of subthalamic nucleus deep brain stimulation (STN-DBS) in reducing motor symptoms in Parkinson’s disease, recent evidence has highlighted the effect on non-motor symptoms. However, the impact of STN-DBS on disseminated networks remains unclear. This study aimed to perform a quantitative evaluation of network-specific modulation induced by STN-DBS using Leading Eigenvector Dynamics Analysis (LEiDA). We calculated the occupancy of resting-state networks (RSNs) in functional MRI data from 10 patients with Parkinson’s disease implanted with STN-DBS and statistically compared between ON and OFF conditions. STN-DBS was found to specifically modulate the occupancy of networks overlapping with limbic RSNs. STN-DBS significantly increased the occupancy of an orbitofrontal limbic subsystem with respect to both DBS OFF (p = 0.0057) and 49 age-matched healthy controls (p = 0.0033). Occupancy of a diffuse limbic RSN was increased with STN-DBS OFF when compared with healthy controls (p = 0.021), but not when STN-DBS was ON, which indicates rebalancing of this network. These results highlight the modulatory effect of STN-DBS on components of the limbic system, particularly within the orbitofrontal cortex, a structure associated with reward processing. These results reinforce the value of quantitative biomarkers of RSN activity in evaluating the disseminated impact of brain stimulation techniques and the personalization of therapeutic strategies.

Published
2023
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6. European Inter-Societal Delphi Consensus for the biomarker-based etiological diagnosis of neurocognitive disorders in the mild stage

Author

Massa, F., Festari, C., Cotta Ramusino, M., Orini, S., Aarsland, D., Agosta, F., Babiloni, C., Boada, M., Borroni, B., Cappa, S.F., Dubois, B., Frederiksen, K.S., Frölich, L., Garibotto, V., Georges, J., Haliassos, A., Hansson, O., Jessen, F., Kamondi, A., Kessels, R.P.C., Morbelli, S., O'Brien, J.T., Otto, M., Perret-Liaudet, A., Pizzini, F.B., Ritchie, C.W., Scheltens, P., Flier, W.M. van der, Vandenbulcke, M., Vanninen, R., Verhey, F.R.J., Vernooij, M.W., Yousry, T., Nobili, F., Frisoni, G.B., Massa, F., Festari, C., Cotta Ramusino, M., Orini, S., Aarsland, D., Agosta, F., Babiloni, C., Boada, M., Borroni, B., Cappa, S.F., Dubois, B., Frederiksen, K.S., Frölich, L., Garibotto, V., Georges, J., Haliassos, A., Hansson, O., Jessen, F., Kamondi, A., Kessels, R.P.C., Morbelli, S., O'Brien, J.T., Otto, M., Perret-Liaudet, A., Pizzini, F.B., Ritchie, C.W., Scheltens, P., Flier, W.M. van der, Vandenbulcke, M., Vanninen, R., Verhey, F.R.J., Vernooij, M.W., Yousry, T., Nobili, F., and Frisoni, G.B.

Abstract

Item does not contain fulltext, Background: CSF and imaging biomarkers are needed for the etiological diagnosis of neurocognitive disorders, but evidence is incomplete on their rational use in the clinic. Since October 2020, a European task force has been defining an evidence-based diagnostic workflow, where incomplete evidence is filled by the opinion of experts. Herein, we report the preliminary results through January 2022. Method: A Delphi method was used to reach consensus. Eleven pertinent European scientific societies delegated two panelists each to join Delphi rounds and voting. Consensus was set at 70% of consistent responses. Result: In the 5 voting rounds completed so far, panelists defined clinical setting (specialist outpatient service) and stage of application (prodromal and mild dementia) of the workflow, patients’ age window of biomarkers use (strongly encouraged below 70 years and of limited usefulness over 85). Workflow is configurated to be patient-centered and structured on three levels of assessment (W): W1, definition of clinical profiles based on the combined results of MRI, neuropsychology, blood tests; W2, choice of first-line biomarkers according to the main clinical suspicion (i.e., FDG-PET for frontotemporal lobar degeneration and motor tauopathies, dopamine SPECT/PET for Lewy body spectrum disorders, and CSF biomarkers either for Alzheimer’s disease or in cases with inconclusive neuropsychological and/or MRI findings, whereas no biomarker was indicated in suspected vascular cognitive impairment); W3, selection of a second-line biomarker when results of first-line biomarkers are inconsistent with diagnostic hypothesis (i.e., not typical FDG-PET pattern) or uninformative (i.e., borderline CSF amyloid results) or not sufficient to rule out other etiologies (i.e., amyloid-positive and tau-negative CSF results) or when a diagnosis remains possible despite a negative first-line biomarker (e.g., normal dopamine SPECT/PET in suspected prodromal dementia with Lewy bodies). Conc

Published
2023

7. Gehirn, Gesichtsschädel und Hals

Author

von Kummer, R., Müller, A., Staudt, M., Grodd, W., Mader, I., Brückmann, H., Reith, W., Rodiek, S. O., Yousry, T. A., Seelos, K. C., Steinborn, M., Schubiger, O., Hosten, N., Zwicker, C., Langer, M., Fürst, G., Berg, J., Vogl, T. J., Gademann, G., Reiser, Maximilian, editor, and Semmler, Wolfhard, editor

Published
2002
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8. Spinale Erkrankungen

Author

Erbguth, F., Yousry, T., Brückmann, H., Nissen, U., Schwab, Stefan, editor, Krieger, Derk, editor, Müllges, Wolfgang, editor, Hamann, Gerhard, editor, and Hacke, Werner, editor

Published
1999
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9. Baseline factors associated with early and late death in intracerebral haemorrhage survivors

Author

Banerjee, G, Ambler, G, Wilson, D, Hostettler, IC, Shakeshaft, C, Lunawat, S, Cohen, H, Yousry, T, Salman, R Al-Shahi, Lip, GYH, Houlden, H, Muir, KW, Brown, MM, Jager, HR, Werring, DJ, and Collaborators, CROMIS-2

Subjects
Male, Change over time, medicine.medical_specialty, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Modified Rankin Scale, Internal medicine, Humans, Medicine, Glasgow Coma Scale, Anticoagulant use, Survivors, 030212 general & internal medicine, Aged, Cerebral Hemorrhage, Aged, 80 and over, business.industry, Hazard ratio, intracerebral haemorrhage, Middle Aged, Prognosis, mortality, Confidence interval, Stroke, Neurology, Cohort, Original Article, Female, Observational study, prognosis, Neurology (clinical), business, 030217 neurology & neurosurgery
Abstract

Background and purpose: \ud \ud The aim of this study was to determine whether early and late death are associated with different baseline factors in intracerebral haemorrhage (ICH) survivors.\ud \ud Methods: \ud \ud This was a secondary analysis of the multicentre prospective observational CROMIS‐2 ICH study. Death was defined as ‘early’ if occurring within 6 months of study entry and ‘late’ if occurring after this time point.\ud \ud Results: \ud \ud In our cohort (n = 1094), there were 306 deaths (per 100 patient‐years: absolute event rate, 11.7; 95% confidence intervals, 10.5–13.1); 156 were ‘early’ and 150 ‘late’. In multivariable analyses, early death was independently associated with age [per year increase; hazard ratio (HR), 1.05, P = 0.003], history of hypertension (HR, 1.89, P = 0.038), pre‐event modified Rankin scale score (per point increase; HR, 1.41, P < 0.0001), admission National Institutes of Health Stroke Scale score (per point increase; HR, 1.11, P < 0.0001) and haemorrhage volume >60 mL (HR, 4.08, P < 0.0001). Late death showed independent associations with age (per year increase; HR, 1.04, P = 0.003), pre‐event modified Rankin scale score (per point increase; HR, 1.42, P = 0.001), prior anticoagulant use (HR, 2.13, P = 0.028) and the presence of intraventricular extension (HR, 1.73, P = 0.033) in multivariable analyses. In further analyses where time was treated as continuous (rather than dichotomized), the HR of previous cerebral ischaemic events increased with time, whereas HRs for Glasgow Coma Scale score, National Institutes of Health Stroke Scale score and ICH volume decreased over time.\ud \ud Conclusions: \ud \ud We provide new evidence that not all baseline factors associated with early mortality after ICH are associated with mortality after 6 months and that the effects of baseline variables change over time. Our findings could help design better prognostic scores for later death after ICH.

Published
2020
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10. Hirn, Gesichtsschädel und Hals

Author

von Kummer, R., Grodd, W., Voigt, K., Thron, A., Brückmann, H., Rodiek, S. O., Yousry, T., Seelos, K. C., Schubiger, O., Hosten, N., Zwicker, C., Langer, M., Mödder, U., Fürst, G., Vogl, T. J., Gademann, G., Reiser, Maximilian, editor, and Semmler, Wolfhard, editor

Published
1997
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12. FSHD

Author

Alobaidan, A., primary, Bugiardini, E., additional, Morrow, J., additional, Shah, S., additional, MacDonald, S., additional, Carr, A., additional, Machado, P., additional, Quinlivan, R., additional, Turner, C., additional, Yousry, T., additional, Parton, M., additional, and Hanna, M., additional

Published
2021
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13. MYO-MRI diagnostic protocols in genetic myopathies

Author

Chardon, J. Warman, Diaz-Manera, J., Tasca, G., Bonnemann, C.G., Gomez-Andres, D., Heerschap, A., Mercuri, E., Muntoni, F., Pichiecchio, A., Ricci, E., Walter, M.C., Hanna, M., Jungbluth, H., Morrow, J.M., Fernandez-Torron, R., Udd, B., Vissing, J., Yousry, T., Quijano-Roy, S., Straub, V., Carlier, R.Y., Group, M.-M.W., Centro de Investigación Biomédica en Red Enfermedades Respiratorias (CIBERES), National Institute of Neurological Disorders and Stroke [Bethesda] (NINDS), National Institutes of Health [Bethesda] (NIH), Fondazione 'Policlinico Universitario A. Gemelli' [Rome], Université de Versailles Saint-Quentin-en-Yvelines - UFR Sciences de la santé Simone Veil (UVSQ Santé), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Hôpital Raymond Poincaré [AP-HP], Institute of Genetic Medicine [Newcastle], Newcastle University [Newcastle], Université de Paris - UFR Médecine [Santé] (UP Médecine), and Université de Paris (UP)

Subjects
0301 basic medicine, [SDV]Life Sciences [q-bio], Disease, Bioinformatics, Inflammatory myopathy, Inherited myopathy, Limb girdle muscular dystrophy, 03 medical and health sciences, Magnetic resonance imaging, 0302 clinical medicine, Unknown Significance, Muscular Diseases, Whole-body MRI, Urological cancers Radboud Institute for Molecular Life Sciences [Radboudumc 15], medicine, Humans, Whole Body Imaging, Genetics (clinical), Congenital myopathy, medicine.diagnostic_test, business.industry, medicine.disease, Muscle anatomy, 3. Good health, Settore MED/26 - NEUROLOGIA, 030104 developmental biology, Neurology, Pediatrics, Perinatology and Child Health, Biomarker (medicine), Neurology (clinical), business, 030217 neurology & neurosurgery, Limb-girdle muscular dystrophy
Abstract

Item does not contain fulltext Whole-body magnetic resonance imaging has emerged as a useful imaging tool in diagnosing and characterizing the progression of myopathies and muscular dystrophies. Whole-body MRI indications and diagnostic efficacy are becoming better defined with the increasing number of cases, publications and discussions within multidisciplinary working groups. Advanced Whole-body MRI protocols are rapid, lower cost, and well-tolerated by patients. Accurate interpretation of muscle Whole-body MRI requires a detailed knowledge of muscle anatomy and differential pattern of involvement in muscle diseases. With the surge in recently identified novel genetic myopathies, Whole-body MRI will become increasingly useful for phenotypic validation of genetic variants of unknown significance. In addition, Whole-body MRI will be progressively used as a biomarker for disease progression and quantify response to therapy with the emergence of novel disease modifying treatments. This review outlines Whole-body MRI indications and updates refined protocols and provides a comprehensive overview of the diagnostic utility and suggested methodology of Whole-body MRI for pediatric and adult patients with muscle diseases.

Published
2019
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16. Short-term adaptation to a simple motor task: A physiological process preserved in multiple sclerosis

Author

Mancini, L., Ciccarelli, O., Manfredonia, F., Thornton, J.S., Agosta, F., Barkhof, F., Beckmann, C., De Stefano, N., Enzinger, C., Fazekas, F., Filippi, M., Gass, A., Hirsch, J.G., Johansen-Berg, H., Kappos, L., Korteweg, T., Manson, S.C., Marino, S., Matthews, P.M., Montalban, X., Palace, J., Polman, C., Rocca, M., Ropele, S., Rovira, A., Wegner, C., Friston, K., Thompson, A., and Yousry, T.

Published
2009
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17. Mind the gap: from neurons to networks to outcomes in multiple sclerosis

Author

Chard, D. T., Alahmadi, A. A. S., Audoin, B., Charalambous, T., Enzinger, C., Hulst, H. E., Rocca, M. A., Rovira, A., Sastre-Garriga, J., Schoonheim, M. M., Tijms, B., Tur, C., Gandini Wheeler-Kingshott, C. A. M., Wink, A. M., Ciccarelli, O., Barkhof, F., De Stefano, N., Filippi, M., Frederiksen, J. L., Gasperini, C., Kappos, L., Palace, J., Yousry, T., Vrenken, H., University College of London [London] (UCL), Department of Diagnostic Radiology, Faculty of Applied Medical Science, King Abdulaziz University (KAU), Jeddah, Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), AP-HM, CHU Timone, Pole de Neurosciences Cliniques, Department of Neurology, Marseille, France., Department of Neurology, Research Unit for Neuronal Repair and Plasticity, Medical University of Graz, Graz, Department of Radiology, Division of Neuroradiology, Vascular and Interventional Radiology, Medical University of Graz, Graz, Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Neuroimaging Research Unit and Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Universitat Autònoma de Barcelona (UAB), Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Department of Neurology, Luton and Dunstable University Hospital, Luton, Università degli Studi di Pavia = University of Pavia (UNIPV), Brain MRI 3T Research Center, IRCCS Mondino Foundation, Pavia, Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre, London, Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - AP-HM] (CEMEREM), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)- Hôpital de la Timone [CHU - APHM] (TIMONE), Section of Neuroradiology, Department of Radiology Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Servei de Neurologia/Neuroimmunologia, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Institutes of Neurology and Healthcare Engineering, University College London, London, Chard, Declan T, Alahmadi, Adnan A S, Audoin, Bertrand, Charalambous, Thali, Enzinger, Christian, Hulst, Hanneke E, Rocca, Maria A, Rovira, Àlex, Sastre-Garriga, Jaume, Schoonheim, Menno M, Tijms, Betty, Tur, Carmen, Gandini Wheeler-Kingshott, Claudia A M, Wink, Alle Meije, Ciccarelli, Olga, Barkhof, Frederik, MAGNIMS Study, Group, and Filippi, Massimo

Subjects
Multiple Sclerosis, Grey matter, Network topology, 030218 nuclear medicine & medical imaging, White matter, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Alzheimer Disease, medicine, Humans, Default mode network, ComputingMilieux_MISCELLANEOUS, Inflammation, Neurons, Artificial neural network, business.industry, Multiple sclerosis, [SCCO.NEUR]Cognitive science/Neuroscience, Brain, medicine.disease, medicine.anatomical_structure, Neurology (clinical), Disconnection, Alzheimer's disease, Nerve Net, business, Neuroscience, 030217 neurology & neurosurgery
Abstract

MRI studies have provided valuable insights into the structure and function of neural networks, particularly in health and in classical neurodegenerative conditions such as Alzheimer disease. However, such work is also highly relevant in other diseases of the CNS, including multiple sclerosis (MS). In this Review, we consider the effects of MS pathology on brain networks, as assessed using MRI, and how these changes to brain networks translate into clinical impairments. We also discuss how this knowledge can inform the targeting of MS treatments and the potential future directions for research in this area. Studying MS is challenging as its pathology involves neurodegenerative and focal inflammatory elements, both of which could disrupt neural networks. The disruption of white matter tracts in MS is reflected in changes in network efficiency, an increasingly random grey matter network topology, relative cortical disconnection, and both increases and decreases in connectivity centred around hubs such as the thalamus and the default mode network. The results of initial longitudinal studies suggest that these changes evolve rather than simply increase over time and are linked with clinical features. Studies have also identified a potential role for treatments that functionally modify neural networks as opposed to altering their structure.

Published
2021
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18. Development of imaging-based risk scores for prediction of intracranial haemorrhage and ischaemic stroke in patients taking antithrombotic therapy after ischaemic stroke or transient ischaemic attack: a pooled analysis of individual patient data from cohort studies.

Author

Best J.G., Ambler G., Wilson D., Lee K.-J., Lim J.-S., Shiozawa M., Koga M., Li L., Lovelock C., Chabriat H., Hennerici M., Wong Y.K., Mak H.K.F., Prats-Sanchez L., Martinez-Domeno A., Inamura S., Yoshifuji K., Arsava E.M., Horstmann S., Purrucker J., Lam B.Y.K., Wong A., Kim Y.D., Song T.-J., Lemmens R., Eppinger S., Gattringer T., Uysal E., Tanriverdi Z., Bornstein N.M., Ben Assayag E., Hallevi H., Molad J., Nishihara M., Tanaka J., Coutts S.B., Polymeris A., Wagner B., Seiffge D.J., Lyrer P., Algra A., Kappelle L.J., Al-Shahi Salman R., Jager H.R., Lip G.Y.H., Fischer U., El-Koussy M., Mas J.-L., Legrand L., Karayiannis C., Phan T., Gunkel S., Christ N., Abrigo J., Leung T., Chu W., Chappell F., Makin S., Hayden D., Williams D.J., Mess W.H., Nederkoorn P.J., Barbato C., Browning S., Wiegertjes K., Tuladhar A.M., Maaijwee N., Guevarra A.C., Yatawara C., Mendyk A.-M., Delmaire C., Kohler S., van Oostenbrugge R., Zhou Y., Xu C., Hilal S., Gyanwali B., Chen C., Lou M., Staals J., Bordet R., Kandiah N., de Leeuw F.-E., Simister R., Hendrikse J., Kelly P.J., Wardlaw J., Soo Y., Fluri F., Srikanth V., Calvet D., Jung S., Kwa V.I.H., Engelter S.T., Peters N., Smith E.E., Hara H., Yakushiji Y., Orken D.N., Fazekas F., Thijs V., Heo J.H., Mok V., Veltkamp R., Ay H., Imaizumi T., Gomez-Anson B., Lau K.K., Jouvent E., Rothwell P.M., Toyoda K., Bae H.-J., Marti-Fabregas J., Werring D.J., Harkness K., Shaw L., Sword J., Mohd Nor A., Sharma P., Kelly D., Harrington F., Randall M., Smith M., Mahawish K., Elmarim A., Esisi B., Cullen C., Nallasivam A., Price C., Barry A., Roffe C., Coyle J., Hassan A., Birns J., Cohen D., Sekaran L., Parry-Jones A., Parry A., Hargroves D., Proschel H., Datta P., Darawil K., Manoj A., Burn M., Patterson C., Giallombardo E., Smyth N., Mansoor S., Anwar I., Marsh R., Ispoglou S., Chadha D., Prabhakaran M., Meenakishundaram S., O'Connell J., Scott J., Krishnamurthy V., Aghoram P., McCormick M., Sprigg N., O'Mahony P., Cooper M., Choy L., Wilkinson P., Leach S., Caine S., Burger I., Gunathilagan G., Guyler P., Emsley H., Davis M., Manawadu D., Pasco K., Mamun M., Luder R., Sajid M., Okwera J., Warburton E., Saastamoinen K., England T., Putterill J., Flossman E., Power M., Dani K., Mangion D., Suman A., Corrigan J., Lawrence E., Vahidassr D., Shakeshaft C., Brown M., Charidimou A., Cohen H., Banerjee G., Houlden H., White M., Yousry T., Flossmann E., Muir K., Gratz P., Mattle H., Panos L., Korczyn A., Kliper E., Maeder P., Gass A., Pachai C., Bracoub L., Douste-Blazy M.-Y., Fratacci M.D., Vicaut E., Sato S., Miwa K., Fujita K., Ide T., Ma H., Ly J., Singhal S., Chandra R., Slater L.-A., Soufan C., Moran C., Traenka C., Thilemann S., Fladt J., Gensicke H., Bonati L., Kim B.J., Han M.-K., Kang J., Ko E., Yang M.H., Jang M.S., Murphy S., Carty F., Akijian L., Thornton J., Schembri M., Douven E., Delgado-Mederos R., Marin R., Camps-Renom P., Guisado-Alonso D., Nunez F., Medrano-Martorell S., Merino E., Iida K., Ikeda S., Irie H., Demirelli D.S., Medanta J.M., Zerna C., Hernandez M.V., Armitage P., Heye A., Munoz-Maniega S., Sakka E., Thrippleton M., Dennis M., Beigneux Y., Silva M., Venketasubramanian N., Ho S.L., Cheung R.T.F., Chan K.H., Teo K.C., Hui E., Kwan J.S.K., Chang R., Tse M.Y., Hoi C.P., Chan C.Y., Chan O.L., Cheung R.H.K., Wong E.K.M., Leung K.T., Tsang S.F., Ip H.L., Ma S.H., Ma K., Fong W.C., Li S.H., Li R., Ng P.W., Wong K.K., Liu W., Wong L., Ramos L., De Schryver E., Jobsis J., van der Sande J., Brouwers P., Roos Y., Stam J., Bakker S., Verbiest H., Schoonewille W., Linn C., Hertzberger L., van Gemert M., Berntsen P., Van Dam-Nolen D., Kooi M.E., Van der Lugt A., Koudstaal P., Leff A., Ward N., Nachev P., Perry R., Ozkan H., Mitchell J., Best J.G., Ambler G., Wilson D., Lee K.-J., Lim J.-S., Shiozawa M., Koga M., Li L., Lovelock C., Chabriat H., Hennerici M., Wong Y.K., Mak H.K.F., Prats-Sanchez L., Martinez-Domeno A., Inamura S., Yoshifuji K., Arsava E.M., Horstmann S., Purrucker J., Lam B.Y.K., Wong A., Kim Y.D., Song T.-J., Lemmens R., Eppinger S., Gattringer T., Uysal E., Tanriverdi Z., Bornstein N.M., Ben Assayag E., Hallevi H., Molad J., Nishihara M., Tanaka J., Coutts S.B., Polymeris A., Wagner B., Seiffge D.J., Lyrer P., Algra A., Kappelle L.J., Al-Shahi Salman R., Jager H.R., Lip G.Y.H., Fischer U., El-Koussy M., Mas J.-L., Legrand L., Karayiannis C., Phan T., Gunkel S., Christ N., Abrigo J., Leung T., Chu W., Chappell F., Makin S., Hayden D., Williams D.J., Mess W.H., Nederkoorn P.J., Barbato C., Browning S., Wiegertjes K., Tuladhar A.M., Maaijwee N., Guevarra A.C., Yatawara C., Mendyk A.-M., Delmaire C., Kohler S., van Oostenbrugge R., Zhou Y., Xu C., Hilal S., Gyanwali B., Chen C., Lou M., Staals J., Bordet R., Kandiah N., de Leeuw F.-E., Simister R., Hendrikse J., Kelly P.J., Wardlaw J., Soo Y., Fluri F., Srikanth V., Calvet D., Jung S., Kwa V.I.H., Engelter S.T., Peters N., Smith E.E., Hara H., Yakushiji Y., Orken D.N., Fazekas F., Thijs V., Heo J.H., Mok V., Veltkamp R., Ay H., Imaizumi T., Gomez-Anson B., Lau K.K., Jouvent E., Rothwell P.M., Toyoda K., Bae H.-J., Marti-Fabregas J., Werring D.J., Harkness K., Shaw L., Sword J., Mohd Nor A., Sharma P., Kelly D., Harrington F., Randall M., Smith M., Mahawish K., Elmarim A., Esisi B., Cullen C., Nallasivam A., Price C., Barry A., Roffe C., Coyle J., Hassan A., Birns J., Cohen D., Sekaran L., Parry-Jones A., Parry A., Hargroves D., Proschel H., Datta P., Darawil K., Manoj A., Burn M., Patterson C., Giallombardo E., Smyth N., Mansoor S., Anwar I., Marsh R., Ispoglou S., Chadha D., Prabhakaran M., Meenakishundaram S., O'Connell J., Scott J., Krishnamurthy V., Aghoram P., McCormick M., Sprigg N., O'Mahony P., Cooper M., Choy L., Wilkinson P., Leach S., Caine S., Burger I., Gunathilagan G., Guyler P., Emsley H., Davis M., Manawadu D., Pasco K., Mamun M., Luder R., Sajid M., Okwera J., Warburton E., Saastamoinen K., England T., Putterill J., Flossman E., Power M., Dani K., Mangion D., Suman A., Corrigan J., Lawrence E., Vahidassr D., Shakeshaft C., Brown M., Charidimou A., Cohen H., Banerjee G., Houlden H., White M., Yousry T., Flossmann E., Muir K., Gratz P., Mattle H., Panos L., Korczyn A., Kliper E., Maeder P., Gass A., Pachai C., Bracoub L., Douste-Blazy M.-Y., Fratacci M.D., Vicaut E., Sato S., Miwa K., Fujita K., Ide T., Ma H., Ly J., Singhal S., Chandra R., Slater L.-A., Soufan C., Moran C., Traenka C., Thilemann S., Fladt J., Gensicke H., Bonati L., Kim B.J., Han M.-K., Kang J., Ko E., Yang M.H., Jang M.S., Murphy S., Carty F., Akijian L., Thornton J., Schembri M., Douven E., Delgado-Mederos R., Marin R., Camps-Renom P., Guisado-Alonso D., Nunez F., Medrano-Martorell S., Merino E., Iida K., Ikeda S., Irie H., Demirelli D.S., Medanta J.M., Zerna C., Hernandez M.V., Armitage P., Heye A., Munoz-Maniega S., Sakka E., Thrippleton M., Dennis M., Beigneux Y., Silva M., Venketasubramanian N., Ho S.L., Cheung R.T.F., Chan K.H., Teo K.C., Hui E., Kwan J.S.K., Chang R., Tse M.Y., Hoi C.P., Chan C.Y., Chan O.L., Cheung R.H.K., Wong E.K.M., Leung K.T., Tsang S.F., Ip H.L., Ma S.H., Ma K., Fong W.C., Li S.H., Li R., Ng P.W., Wong K.K., Liu W., Wong L., Ramos L., De Schryver E., Jobsis J., van der Sande J., Brouwers P., Roos Y., Stam J., Bakker S., Verbiest H., Schoonewille W., Linn C., Hertzberger L., van Gemert M., Berntsen P., Van Dam-Nolen D., Kooi M.E., Van der Lugt A., Koudstaal P., Leff A., Ward N., Nachev P., Perry R., Ozkan H., and Mitchell J.

Abstract

Background: Balancing the risks of recurrent ischaemic stroke and intracranial haemorrhage is important for patients treated with antithrombotic therapy after ischaemic stroke or transient ischaemic attack. However, existing predictive models offer insufficient performance, particularly for assessing the risk of intracranial haemorrhage. We aimed to develop new risk scores incorporating clinical variables and cerebral microbleeds, an MRI biomarker of intracranial haemorrhage and ischaemic stroke risk. Method(s): We did a pooled analysis of individual-patient data from the Microbleeds International Collaborative Network (MICON), which includes 38 hospital-based prospective cohort studies from 18 countries. All studies recruited participants with previous ischaemic stroke or transient ischaemic attack, acquired baseline MRI allowing quantification of cerebral microbleeds, and followed-up participants for ischaemic stroke and intracranial haemorrhage. Participants not taking antithrombotic drugs were excluded. We developed Cox regression models to predict the 5-year risks of intracranial haemorrhage and ischaemic stroke, selecting candidate predictors on biological relevance and simplifying models using backward elimination. We derived integer risk scores for clinical use. We assessed model performance in internal validation, adjusted for optimism using bootstrapping. The study is registered on PROSPERO, CRD42016036602. Finding(s): The included studies recruited participants between Aug 28, 2001, and Feb 4, 2018. 15 766 participants had follow-up for intracranial haemorrhage, and 15 784 for ischaemic stroke. Over a median follow-up of 2 years, 184 intracranial haemorrhages and 1048 ischaemic strokes were reported. The risk models we developed included cerebral microbleed burden and simple clinical variables. Optimism-adjusted c indices were 0.73 (95% CI 0.69-0.77) with a calibration slope of 0.94 (0.81-1.06) for the intracranial haemorrhage model and 0.63 (0.62-0.65) w

Published
2021

20. MRI and pathology correlations in the medulla in sudden unexpected death in epilepsy (SUDEP): a postmortem study

Author

Patodia, S, Tachrount, M, Somani, A, Scheffer, I, Yousry, T, Golay, X, Sisodiya, SM, Thom, M, Patodia, S, Tachrount, M, Somani, A, Scheffer, I, Yousry, T, Golay, X, Sisodiya, SM, and Thom, M

Abstract

AIMS: Sudden unexpected death in epilepsy (SUDEP) likely arises as a result of autonomic dysfunction around the time of a seizure. In vivo MRI studies report volume reduction in the medulla and other brainstem autonomic regions. Our aim, in a pathology series, is to correlate regional quantitative features on 9.4T MRI with pathology measures in medullary regions. METHODS: Forty-seven medullae from 18 SUDEP, 18 nonepilepsy controls and 11 epilepsy controls were studied. In 16 cases, representing all three groups, ex vivo 9.4T MRI of the brainstem was carried out. Five regions of interest (ROI) were delineated, including the reticular formation zone (RtZ), and actual and relative volumes (RV), as well as T1, T2, T2* and magnetization transfer ratio (MTR) measurements were evaluated on MRI. On serial sections, actual and RV estimates using Cavalieri stereological method and immunolabelling indices for myelin basic protein, synaptophysin and Microtubule associated protein 2 (MAP2) were carried out in similar ROI. RESULTS: Lower relative RtZ volumes in the rostral medulla but higher actual volumes in the caudal medulla were observed in SUDEP (P < 0.05). No differences between groups for T1, T2, T2* and MTR values in any region was seen but a positive correlation between T1 values and MAP2 labelling index in RtZ (P < 0.05). Significantly lower MAP2 LI were noted in the rostral medulla RtZ in epilepsy cases (P < 0.05). CONCLUSIONS: Rostro-caudal alterations of medullary volume in SUDEP localize with regions containing respiratory regulatory nuclei. They may represent seizure-related alterations, relevant to the pathophysiology of SUDEP.

Published
2021

21. Reproducibility of fMRI in the clinical setting: Implications for trial designs

Author

Bosnell, R., Wegner, C., Kincses, Z.T., Korteweg, T., Agosta, F., Ciccarelli, O., De Stefano, N., Gass, A., Hirsch, J., Johansen-Berg, H., Kappos, L., Barkhof, F., Mancini, L., Manfredonia, F., Marino, S., Miller, D.H., Montalban, X., Palace, J., Rocca, M., Enzinger, C., Ropele, S., Rovira, A., Smith, S., Thompson, A., Thornton, J., Yousry, T., Whitcher, B., Filippi, M., and Matthews, P.M.

Published
2008
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24. Impairment of movement-associated brain deactivation in multiple sclerosis: further evidence for a functional pathology of interhemispheric neuronal inhibition

Author

Manson, S. C., Wegner, C., Filippi, M., Barkhof, F., Beckmann, C., Ciccarelli, O., De Stefano, N., Enzinger, Christian, Fazekas, F., Agosta, F., Gass, A., Hirsch, J., Johansen-Berg, H., Kappos, L., Korteweg, T., Polman, C., Mancini, L., Manfredonia, F., Marino, S., Miller, D. H., Montalban, X., Palace, J., Rocca, M., Ropele, S., Rovira, A., Smith, S., Thompson, A., Thornton, J., Yousry, T., Frank, J. A., and Matthews, P. M.

Published
2008
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27. Baseline factors associated with early and late death in intracerebral haemorrhage survivors

Author

Banerjee, G., Ambler, G., Hostettler, I. C., Shakeshaft, C., Lunawat, S., Cohen, H., Yousry, T., Al-Shahi Salman, R., Lip, G. Y.H., Houlden, H., Muir, K. W., Jäger, H. R., Werring, D. J., Shaw, Louise, Harkness, Kirsty, Sword, Jane, Mohd Nor, Azlisham, Sharma, Pankaj, Kelly, Deborah, Harrington, Frances, Randall, Marc, Smith, Matthew, Mahawish, Karim, Elmarim, Abduelbaset, Esisi, Bernard, Cullen, Claire, Nallasivam, Arumug, Price, Christopher, Barry, Adrian, Roffe, Christine, Coyle, John, Hassan, Ahamad, Lovelock, Caroline, Birns, Jonathan, Cohen, David, Sekaran, L., Parry-Jones, Adrian, Parry, Anthea, Hargroves, David, Proschel, Harald, Datta, Prabel, Darawil, Khaled, Manoj, Aravindakshan, Burn, Mathew, Patterson, Chris, Giallombardo, Elio, Smyth, Nigel, Mansoor, Syed, Anwar, Ijaz, Marsh, Rachel, Ispoglou, Sissi, Chadha, Dinesh, Prabhakaran, Mathuri, Meenakishundaram, Sanjeevikumar, O'Connell, Janice, Scott, Jon, Krishnamurthy, Vinodh, Aghoram, Prasanna, McCormick, Michael, O’Mahony, Paul, Cooper, Martin, Choy, Lillian, Wilkinson, Peter, Leach, Simon, Caine, Sarah, Burger, Ilse, Gunathilagan, Gunaratam, Guyler, Paul, Emsley, Hedley, Davis, Michelle, Manawadu, Dulka, Pasco, Kath, Mamun, Maam, Luder, Robert, Sajid, Mahmud, Okwera, James, Staals, Julie, Warburton, Elizabeth, Saastamoinen, Kari, England, Timothy, Putterill, Janet, Flossman, Enrico, Power, Michael, Dani, Krishna, Mangion, David, Suman, Appu, Corrigan, John, Lawrence, Enas, Vahidassr, Djamil, Banerjee, G., Ambler, G., Hostettler, I. C., Shakeshaft, C., Lunawat, S., Cohen, H., Yousry, T., Al-Shahi Salman, R., Lip, G. Y.H., Houlden, H., Muir, K. W., Jäger, H. R., Werring, D. J., Shaw, Louise, Harkness, Kirsty, Sword, Jane, Mohd Nor, Azlisham, Sharma, Pankaj, Kelly, Deborah, Harrington, Frances, Randall, Marc, Smith, Matthew, Mahawish, Karim, Elmarim, Abduelbaset, Esisi, Bernard, Cullen, Claire, Nallasivam, Arumug, Price, Christopher, Barry, Adrian, Roffe, Christine, Coyle, John, Hassan, Ahamad, Lovelock, Caroline, Birns, Jonathan, Cohen, David, Sekaran, L., Parry-Jones, Adrian, Parry, Anthea, Hargroves, David, Proschel, Harald, Datta, Prabel, Darawil, Khaled, Manoj, Aravindakshan, Burn, Mathew, Patterson, Chris, Giallombardo, Elio, Smyth, Nigel, Mansoor, Syed, Anwar, Ijaz, Marsh, Rachel, Ispoglou, Sissi, Chadha, Dinesh, Prabhakaran, Mathuri, Meenakishundaram, Sanjeevikumar, O'Connell, Janice, Scott, Jon, Krishnamurthy, Vinodh, Aghoram, Prasanna, McCormick, Michael, O’Mahony, Paul, Cooper, Martin, Choy, Lillian, Wilkinson, Peter, Leach, Simon, Caine, Sarah, Burger, Ilse, Gunathilagan, Gunaratam, Guyler, Paul, Emsley, Hedley, Davis, Michelle, Manawadu, Dulka, Pasco, Kath, Mamun, Maam, Luder, Robert, Sajid, Mahmud, Okwera, James, Staals, Julie, Warburton, Elizabeth, Saastamoinen, Kari, England, Timothy, Putterill, Janet, Flossman, Enrico, Power, Michael, Dani, Krishna, Mangion, David, Suman, Appu, Corrigan, John, Lawrence, Enas, and Vahidassr, Djamil

Abstract

Background and purpose: The aim of this study was to determine whether early and late death are associated with different baseline factors in intracerebral haemorrhage (ICH) survivors. Methods: This was a secondary analysis of the multicentre prospective observational CROMIS-2 ICH study. Death was defined as ‘early’ if occurring within 6 months of study entry and ‘late’ if occurring after this time point. Results: In our cohort (n = 1094), there were 306 deaths (per 100 patient-years: absolute event rate, 11.7; 95% confidence intervals, 10.5–13.1); 156 were ‘early’ and 150 ‘late’. In multivariable analyses, early death was independently associated with age [per year increase; hazard ratio (HR), 1.05, P = 0.003], history of hypertension (HR, 1.89, P = 0.038), pre-event modified Rankin scale score (per point increase; HR, 1.41, P < 0.0001), admission National Institutes of Health Stroke Scale score (per point increase; HR, 1.11, P < 0.0001) and haemorrhage volume >60 mL (HR, 4.08, P < 0.0001). Late death showed independent associations with age (per year increase; HR, 1.04, P = 0.003), pre-event modified Rankin scale score (per point increase; HR, 1.42, P = 0.001), prior anticoagulant use (HR, 2.13, P = 0.028) and the presence of intraventricular extension (HR, 1.73, P = 0.033) in multivariable analyses. In further analyses where time was treated as continuous (rather than dichotomized), the HR of previous cerebral ischaemic events increased with time, whereas HRs for Glasgow Coma Scale score, National Institutes of Health Stroke Scale score and ICH volume decreased over time. Conclusions: We provide new evidence that not all baseline factors associated with early mortality after ICH are associated with mortality after 6 months and that the effects of baseline variables change over time. Our findings could help design better prognostic scores for later death after ICH.

Published
2020

28. Clinical practice of language fMRI in epilepsy centers: a European survey and conclusions by the ESNR Epilepsy Working Group

Author

Bargalló, N. (N.), Cano-López, I. (I.), Rosazza, C. (C.), Vernooij, M.W. (Meike), Smits, M. (Marion), Vitali, P. (P.), Alvarez-Linera, J. (J.), Urbach, H. (Horst), Mancini, L. (L.), Ramos, A. (A.), Yousry, T. (T.), Bargalló, N. (N.), Cano-López, I. (I.), Rosazza, C. (C.), Vernooij, M.W. (Meike), Smits, M. (Marion), Vitali, P. (P.), Alvarez-Linera, J. (J.), Urbach, H. (Horst), Mancini, L. (L.), Ramos, A. (A.), and Yousry, T. (T.)

Abstract

Purpose: To assess current clinical practices throughout Europe with respect to acquisition, implementation, evaluation, and interpretation of language functional MRI (fMRI) in epilepsy patients. Methods: An online survey was emailed to all European Society of Neuroradiology members (n = 1662), known associates (n = 6400), and 64 members of European Epilepsy network. The questionnaire featured 40 individual items on demographic data, clinical practice and indications, fMRI paradigms, radiological workflow, data post-processing protocol, and reporting. Results: A total of 49 non-duplicate entries from European centers were received from 20 countries. Of these, 73.5% were board-certified neuroradiologists and 69.4% had an in-house epilepsy surgery program. Seventy-one percent of centers performed fewer than five scans per month for epilepsy. The most frequently used paradigms were phonemic verbal fluency (47.7%) and audit

Published
2020
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