Showing results (161-170 of 308) with videos related to
Sort By:
Pageof 31
Neuro-Degenerative Diseases|January 5, 2016
Measuring Global Brain Atrophy with the Brain Volume/Cerebrospinal Fluid Index: Normative Values, Cut-Offs and Clinical AssociationsCamila Orellana, Daniel Ferreira, J-Sebastian Muehlboeck, et al.Dementia and Geriatric Cognitive Disorders|July 2, 2020
The Power of EEG to Predict Conversion from Mild Cognitive Impairment and Subjective Cognitive Decline to DementiaKnut Engedal, Maria Lage Barca, Peter Høgh, et al.Neurology|September 15, 2021
Atrial Fibrillation, Stroke, and Silent Cerebrovascular Disease: A Population-based MRI StudyLina Rydén, Simona Sacuiu, Hanna Wetterberg, et al.Journal of Alzheimer'S Disease : JAD|July 12, 2018
EEG Theta Power Is an Early Marker of Cognitive Decline in Dementia due to Alzheimer's DiseaseChristian Sandøe Musaeus, Knut Engedal, Peter Høgh, et al.Dementia and Geriatric Cognitive Disorders|May 15, 2009
Effects of omega-3 fatty acids on inflammatory markers in cerebrospinal fluid and plasma in Alzheimer's disease: the OmegAD studyYvonne Freund-Levi, Erik Hjorth, Catharina Lindberg, et al.Journal of the American Geriatrics Society|December 5, 2008
Omega-3 fatty acid supplementation effects on weight and appetite in patients with Alzheimer's disease: the omega-3 Alzheimer's disease studyGerd Faxén Irving, Yvonne Freund-Levi, Maria Eriksdotter-Jönhagen, et al.Journal of Geriatric Psychiatry and Neurology|August 1, 2014
Medial temporal lobe atrophy and depressive symptoms in elderly patients with and without Alzheimer diseaseDaniela Enache, Lena Cavallin, Olof Lindberg, et al.Neurobiology of Aging|June 24, 2018
The contribution of small vessel disease to subtypes of Alzheimer's disease: a study on cerebrospinal fluid and imaging biomarkersDaniel Ferreira, Sara Shams, Lena Cavallin, et al.Psychiatry Research|January 30, 2009
Caudate volumes in public transportation workers exposed to trauma in the Stockholm train systemJeffrey Chee Leong Looi, Jerome Joseph Maller, Marco Pagani, et al.Frontiers in Aging Neuroscience|January 23, 2024
A deep learning model for brain age prediction using minimally preprocessed T1w images as inputCaroline Dartora, Anna Marseglia, Gustav Mårtensson, et al.Pageof 31