The Meta VCI Map consortium for meta-analyses on strategic lesion locations for vascular cognitive impairment using lesion-symptom mapping: Design and multicenter pilot study
暂无分享,去创建一个
Rebecca M. E. Steketee | Nick A. Weaver | W. M. van der Flier | D. Werring | F. de Leeuw | H. Brodaty | N. Venketasubramanian | M. Dichgans | V. Mok | C. Sudre | R. S. van der Giessen | J. Jukema | F. Verhey | P. Maillard | R. Schmidt | P. Koudstaal | J. Wardlaw | M. Ikram | M. V. Valdés Hernández | L. Kappelle | G. Biessels | R. Bordet | J. Staals | B. MacIntosh | R. Frayne | C. DeCarli | F. Chappell | T. Nijboer | W. Backes | M. Vernooij | R. Kalaria | J. van der Grond | Jae-Sung Lim | M. Duering | A. Tuladhar | J. M. Biesbroek | R. C. van der Mast | H. P. Aben | P. D. de Kort | Lin Shi | Olivia K. L. Hamilton | A. Wong | S. Hilal | M. Georgakis | C. McCreary | H. Kuijf | C. Cheng | H. Bae | J. Papma | L. Pirpamer | F. Wollenweber | R. V. van Oostenbrugge | F. Barkhof | N. Chaturvedi | Christopher Chen | R. Steketee | Lei Zhao | M. Á. Caballero | Bibek Gyanwali | Elise M. vom Hofe | B. Lam | S. Makin | Xu Xin | C. E.A. P. J. C.H. J.M. M.A. J.M. R.M.E. M.W. R. R. C DeCarli Fletcher Maillard Barnes Sudre Schott | E. A. Fletcher | J. Barnes | J. Schott | R. Lopes | C.-W. Huang | E. E. Smith | S. Köhler | J. Hsu | K-L Huang | K. Yu | A. Robertson | T. Tillin | P. Sachdev | B. Gyanwali | C. Chen | R. van der Mast | Christopher P L H Chen | R. Schmidt | R. Schmidt
[1] Nick A. Weaver,et al. Impact of white matter hyperintensity location on depressive symptoms in memory-clinic patients: a lesion–symptom mapping study , 2019, Journal of psychiatry & neuroscience : JPN.
[2] T. Nijboer,et al. Peripersonal and extrapersonal visuospatial neglect in different frames of reference: A brain lesion-symptom mapping study , 2019, Behavioural Brain Research.
[3] M. Jorge Cardoso,et al. Cardiovascular Risk Factors and White Matter Hyperintensities: Difference in Susceptibility in South Asians Compared With Europeans , 2018, Journal of the American Heart Association.
[4] M. Power,et al. Cerebral microbleeds and intracranial haemorrhage risk in patients anticoagulated for atrial fibrillation after acute ischaemic stroke or transient ischaemic attack (CROMIS-2): a multicentre observational cohort study , 2018, The Lancet Neurology.
[5] S. Bombois,et al. Identification of a specific functional network altered in poststroke cognitive impairment , 2018, Neurology.
[6] Y. Reijmer,et al. A Role for New Brain Magnetic Resonance Imaging Modalities in Daily Clinical Practice: Protocol of the Prediction of Cognitive Recovery After Stroke (PROCRAS) Study , 2018, JMIR research protocols.
[7] Ya-Ting Chang,et al. Cerebral Perfusion Insufficiency and Relationships with Cognitive Deficits in Alzheimer’s Disease: A Multiparametric Neuroimaging Study , 2018, Scientific Reports.
[8] H. Karnath,et al. A hitchhiker's guide to lesion-behaviour mapping , 2017, Neuropsychologia.
[9] V. Mok,et al. Strategic infarct location for post-stroke cognitive impairment: A multivariate lesion-symptom mapping study , 2017, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[10] H. Karnath,et al. On the validity of lesion-behaviour mapping methods , 2017, Neuropsychologia.
[11] D. Leys,et al. Hippocampal Deformations and Entorhinal Cortex Atrophy as an Anatomical Signature of Long-Term Cognitive Impairment: from the MCAO Rat Model to the Stroke Patient , 2017, Translational Stroke Research.
[12] Hans-Otto Karnath,et al. ‘Whose atlas I use, his song I sing?’ – The impact of anatomical atlases on fiber tract contributions to cognitive deficits after stroke , 2017, NeuroImage.
[13] O. Franco,et al. The Rotterdam Study: 2018 update on objectives, design and main results , 2017, European Journal of Epidemiology.
[14] Nick C Fox,et al. ApoE influences regional white-matter axonal density loss in Alzheimer's disease , 2017, Neurobiology of Aging.
[15] S. Black,et al. Temporal and Spatial Variances in Arterial Spin-Labeling Are Inversely Related to Large-Artery Blood Velocity , 2017, American Journal of Neuroradiology.
[16] J. Wardlaw,et al. Blood-brain barrier failure as a core mechanism in cerebral small vessel disease and dementia: evidence from a cohort study , 2017, Alzheimer's & Dementia.
[17] C. Lebel,et al. White Matter Structural Connectivity Is Not Correlated to Cortical Resting-State Functional Connectivity over the Healthy Adult Lifespan , 2017, Front. Aging Neurosci..
[18] Nick A. Weaver,et al. Lesion location and cognitive impact of cerebral small vessel disease. , 2017, Clinical science.
[19] W. M. van der Flier,et al. Vascular Cognitive Impairment in a Memory Clinic Population: Rationale and Design of the “Utrecht-Amsterdam Clinical Features and Prognosis in Vascular Cognitive Impairment” (TRACE-VCI) Study , 2017, JMIR research protocols.
[20] P. Hofman,et al. Blood–brain barrier leakage is more widespread in patients with cerebral small vessel disease , 2017, Neurology.
[21] S. Tsai,et al. Genetic effect of interleukin-1 beta (C-511T) polymorphism on the structural covariance network and white matter integrity in Alzheimer’s disease , 2017, Journal of Neuroinflammation.
[22] H. Karnath,et al. Investigating structure and function in the healthy human brain: validity of acute versus chronic lesion-symptom mapping , 2016, Brain Structure and Function.
[23] Klaus P. Ebmeier,et al. METACOHORTS for the study of vascular disease and its contribution to cognitive decline and neurodegeneration: An initiative of the Joint Programme for Neurodegenerative Disease Research , 2016, Alzheimer's & Dementia.
[24] V. Mok,et al. Delayed-onset dementia after stroke or transient ischemic attack , 2016, Alzheimer's & Dementia.
[25] Nick A. Weaver,et al. Impact of Strategically Located White Matter Hyperintensities on Cognition in Memory Clinic Patients with Small Vessel Disease , 2016, PLoS ONE.
[26] Eric E. Smith,et al. Cerebral Amyloid Angiopathy Is Associated With Executive Dysfunction and Mild Cognitive Impairment , 2016, Stroke.
[27] F. Verhey,et al. The Cognition and Affect after Stroke - a Prospective Evaluation of Risks (CASPER) study: rationale and design , 2016, BMC Neurology.
[28] J. Visser-Meily,et al. The right hemisphere is dominant in organization of visual search—A study in stroke patients , 2016, Behavioural Brain Research.
[29] A. Hofman,et al. The Rotterdam Scan Study: design update 2016 and main findings , 2015, European Journal of Epidemiology.
[30] V. Mok,et al. Montreal Cognitive Assessment: One Cutoff Never Fits All , 2015, Stroke.
[31] Justine E. F. Moonen,et al. Effect of Discontinuation of Antihypertensive Treatment in Elderly People on Cognitive Functioning--the DANTE Study Leiden: A Randomized Clinical Trial. , 2015, JAMA internal medicine.
[32] D. Werring,et al. The Clinical Relevance of Microbleeds in Stroke study (CROMIS-2): rationale, design, and methods , 2015, International journal of stroke : official journal of the International Stroke Society.
[33] Nick C Fox,et al. Magnetic resonance imaging in Alzheimer's Disease Neuroimaging Initiative 2 , 2015, Alzheimer's & Dementia.
[34] Exercise intensity modulates the change in cerebral blood flow following aerobic exercise in chronic stroke , 2015, Experimental Brain Research.
[35] D. Mirman,et al. Neural Organization of Spoken Language Revealed by Lesion-Symptom Mapping , 2015, Nature Communications.
[36] P. Scheltens,et al. White matter hyperintensities, cognitive impairment and dementia: an update , 2015, Nature Reviews Neurology.
[37] V. Mok,et al. Risk factors for incident dementia after stroke and transient ischemic attack , 2015, Alzheimer's & Dementia.
[38] R. Schmidt,et al. Gender-Specific Differences in Cognitive Profiles of Patients with Alzheimer's Disease: Results of the Prospective Dementia Registry Austria (PRODEM-Austria). , 2015, Journal of Alzheimer's disease : JAD.
[39] W. M. van der Flier,et al. The Dutch Parelsnoer Institute - Neurodegenerative diseases; methods, design and baseline results , 2014, BMC Neurology.
[40] J. Mangin,et al. Magnetization Transfer Ratio Relates to Cognitive Impairment in Normal Elderly , 2014, Front. Aging Neurosci..
[41] Nick A. Weaver,et al. The anatomy of visuospatial construction revealed by lesion-symptom mapping , 2014, Neuropsychologia.
[42] M. Dichgans,et al. The Determinants of Dementia after Stroke (DEDEMAS) Study: Protocol and Pilot Data , 2014, International journal of stroke : official journal of the International Stroke Society.
[43] Jae-Sung Lim,et al. Cortical Hubs and Subcortical Cholinergic Pathways as Neural Substrates of Poststroke Dementia , 2014, Stroke.
[44] D. Stuss,et al. Criterion and Convergent Validity of the Montreal Cognitive Assessment with Screening and Standardized Neuropsychological Testing , 2013, Journal of the American Geriatrics Society.
[45] A. Hughes,et al. African Caribbeans have greater subclinical cerebrovascular disease than Europeans: this is associated with both their elevated resting and ambulatory blood pressure and their hyperglycaemia , 2013, Journal of hypertension.
[46] J. Staals,et al. Accumulation of MRI Markers of Cerebral Small Vessel Disease is Associated with Decreased Cognitive Function. A Study in First-Ever Lacunar Stroke and Hypertensive Patients , 2013, Front. Aging Neurosci..
[47] Max A. Viergever,et al. Registration of Brain CT Images to an MRI Template for the Purpose of Lesion-Symptom Mapping , 2013, MBIA.
[48] Nick C Fox,et al. Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration , 2013, The Lancet Neurology.
[49] Influence of Chronic Ethanol Consumption on the Neurological Severity in Patients With Acute Cerebral Ischemia , 2013, Stroke.
[50] A. Postma,et al. Association between Subcortical Vascular Lesion Location and Cognition: A Voxel-Based and Tract-Based Lesion-Symptom Mapping Study. The SMART-MR Study , 2013, PloS one.
[51] J. Cha,et al. Cognitive Impairment Evaluated With Vascular Cognitive Impairment Harmonization Standards in a Multicenter Prospective Stroke Cohort in Korea , 2013, Stroke.
[52] T. Wong,et al. Prevalence of cognitive impairment in Chinese: Epidemiology of Dementia in Singapore study , 2013, Journal of Neurology, Neurosurgery & Psychiatry.
[53] T. Hendler,et al. Predictors for Poststroke Outcomes: The Tel Aviv Brain Acute Stroke Cohort (TABASCO) Study Protocol , 2012, International journal of stroke : official journal of the International Stroke Society.
[54] P. Sachdev,et al. Brief screening tests during acute admission in patients with mild stroke are predictive of vascular cognitive impairment 3–6 months after stroke , 2012, Journal of Neurology, Neurosurgery & Psychiatry.
[55] Alan J. Thomas,et al. Long term incidence of dementia, predictors of mortality and pathological diagnosis in older stroke survivors , 2011, Brain : a journal of neurology.
[56] S. Black,et al. Vascular Contributions to Cognitive Impairment and Dementia: A Statement for Healthcare Professionals From the American Heart Association/American Stroke Association , 2011, Stroke.
[57] M. Dichgans,et al. Strategic role of frontal white matter tracts in vascular cognitive impairment: a voxel-based lesion-symptom mapping study in CADASIL. , 2011, Brain : a journal of neurology.
[58] D. Norris,et al. Causes and consequences of cerebral small vessel disease. The RUN DMC study: a prospective cohort study. Study rationale and protocol , 2011, BMC neurology.
[59] D. Louis Collins,et al. Unbiased average age-appropriate atlases for pediatric studies , 2011, NeuroImage.
[60] P. Sachdev,et al. The Sydney Memory and Ageing Study (MAS): methodology and baseline medical and neuropsychiatric characteristics of an elderly epidemiological non-demented cohort of Australians aged 70–90 years , 2010, International Psychogeriatrics.
[61] C. DeCarli,et al. Recruitment of a Community-based Cohort for Research on Diversity and Risk of Dementia , 2010, Alzheimer disease and associated disorders.
[62] A. Arboix,et al. Infarction in the territory of the anterior cerebral artery: clinical study of 51 patients , 2009, BMC neurology.
[63] Daniel Y. Kimberg,et al. Power in Voxel-based Lesion-Symptom Mapping , 2007, Journal of Cognitive Neuroscience.
[64] Nick C Fox,et al. Do symptoms of memory impairment correspond to cognitive impairment: a cross sectional study of a clinical cohort , 2006, International journal of geriatric psychiatry.
[65] Oscar Camara,et al. Generalized Overlap Measures for Evaluation and Validation in Medical Image Analysis , 2006, IEEE Transactions on Medical Imaging.
[66] Guido Gerig,et al. User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability , 2006, NeuroImage.
[67] R. D'Agostino,et al. Association of white matter hyperintensity volume with decreased cognitive functioning: the Framingham Heart Study. , 2006, Archives of neurology.
[68] H. Karnath,et al. Using human brain lesions to infer function: a relic from a past era in the fMRI age? , 2004, Nature Reviews Neuroscience.
[69] N. Dronkers,et al. Lesion analysis of the brain areas involved in language comprehension , 2004, Cognition.
[70] James S. Duncan,et al. Medical Image Analysis , 1999, IEEE Pulse.
[71] P. Macfarlane,et al. The design of a prospective study of Pravastatin in the Elderly at Risk (PROSPER). PROSPER Study Group. PROspective Study of Pravastatin in the Elderly at Risk. , 1999, The American journal of cardiology.
[72] F. Fazekas,et al. MRI white matter hyperintensities , 1999, Neurology.
[73] F. Fazekas,et al. Assessment of cerebrovascular risk profiles in healthy persons: definition of research goals and the Austrian Stroke Prevention Study (ASPS). , 1994, Neuroepidemiology.
[74] Y. Stern,et al. Cognitive impairment after stroke: frequency, patterns, and relationship to functional abilities. , 1994, Journal of neurology, neurosurgery, and psychiatry.
[75] L. R. Dice. Measures of the Amount of Ecologic Association Between Species , 1945 .