Characterising the grey matter correlates of leukoaraiosis in cerebral small vessel disease

NeuroImage: Clinical

Volumn 9, Issue , 2015, Pages 194-205

  Lambert, Christian ^a   Sam Narean, Janakan ^a   Benjamin, Philip ^a   Zeestraten, Eva ^a   Barrick, Thomas R ^a   Markus, Hugh S ^a,b  

^a ST GEORGE'S UNIVERSITY OF LONDON   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; AGING; ALGORITHM; ANTERIOR INSULA; ARTICLE; BRAIN SIZE; CAUDATE NUCLEUS; CEREBROVASCULAR DISEASE; COHORT ANALYSIS; CORRELATION ANALYSIS; CORRELATION COEFFICIENT; CORTICAL THICKNESS (BRAIN); DISEASE ASSOCIATION; DISEASE SEVERITY; FEMALE; GAUSSIAN PROCESS REGRESSION; GRAY MATTER; HUMAN; IMAGE ANALYSIS; LEUKOARAIOSIS; MAJOR CLINICAL STUDY; MALE; NEUROANATOMY; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; OCCIPITAL CORTEX; PARIETAL CORTEX; PARIETAL LOBE; PHENOTYPE; PREFRONTAL CORTEX; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SENSORIMOTOR CORTEX; TEMPORAL CORTEX; VOXEL BASED MORPHOMETRY; WHITE MATTER LESION; BRAIN; COMPLICATION; COMPUTER ASSISTED DIAGNOSIS; MACHINE LEARNING; MIDDLE AGED; PATHOLOGY; PROCEDURES; SEVERITY OF ILLNESS INDEX;

AGED; BRAIN; CEREBRAL SMALL VESSEL DISEASES; FEMALE; GRAY MATTER; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LEUKOARAIOSIS; MACHINE LEARNING; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; SEVERITY OF ILLNESS INDEX;

EID: 84940737561     PISSN: None     EISSN: 22131582     Source Type: Journal    
DOI: 10.1016/j.nicl.2015.07.002     Document Type: Article

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