Neuroimaging Biomarkers Predict Brain Structural Connectivity Change in a Mouse Model of Vascular Cognitive Impairment

Stroke

Volumn 48, Issue 2, 2017, Pages 468-475

  Boehm Sturm, Philipp ^a,b   Füchtemeier, Martina ^a   Foddis, Marco ^a,b   Mueller, Susanne ^a,b   Trueman, Rebecca C ^d   Zille, Marietta ^a   Rinnenthal, Jan Leo ^c   Kypraios, Theodore ^d   Shaw, Laurence ^d   Dirnagl, Ulrich ^a,b   Farr, Tracy D ^a,d  

^a Center for Stroke Research Berlin CSB   (Germany)

^b CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

^c Department of Neuropathology ^*  (Germany)

^d UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

biomarkers; diffusion tensor imaging; hypoperfusion; magnetic resonance imaging; mouse; neuroimaging; vascular cognitive impairment

Indexed keywords

BIOLOGICAL MARKER;

ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; BRAIN BLOOD FLOW; BRAIN DEGENERATION; BRAIN PERFUSION; CEREBROVASCULAR DISEASE; COGNITIVE DEFECT; DIFFUSION TENSOR IMAGING; FUNCTIONAL CONNECTIVITY; GLIOSIS; HIPPOCAMPUS; MALE; MOUSE; NEUROIMAGING; NEUROPATHOLOGY; NONHUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SPATIAL LEARNING; WHITE MATTER LESION; ANIMAL; BRAIN; BRAIN CIRCULATION; C57BL MOUSE; DIAGNOSTIC IMAGING; DISEASE MODEL; MAZE TEST; NERVE TRACT; PATHOPHYSIOLOGY; PHYSIOLOGY; PREDICTIVE VALUE; PROCEDURES;

ANIMALS; BRAIN; CEREBROVASCULAR CIRCULATION; COGNITIVE DYSFUNCTION; DISEASE MODELS, ANIMAL; MALE; MAZE LEARNING; MICE; MICE, INBRED C57BL; NEURAL PATHWAYS; NEUROIMAGING; PREDICTIVE VALUE OF TESTS;

EID: 85009400934     PISSN: 00392499     EISSN: 15244628     Source Type: Journal    
DOI: 10.1161/STROKEAHA.116.014394     Document Type: Article

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