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[P4–397]: A COMPUTATIONAL MARKER OF STRUCTURAL CONNECTIVITY ABNORMALITIES IN ALZHEIMER'S DISEASE
Author(s) -
Gurusamy Guruprasath,
Sreenivasan Varsha,
Sundaresan Mali,
Sridharan Devarajan
Publication year - 2017
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2017.07.557
Subject(s) - tractography , connectome , human connectome project , temporal lobe , diffusion mri , white matter , artificial intelligence , computer science , pattern recognition (psychology) , connectomics , gyrification , neuroscience , magnetic resonance imaging , psychology , functional connectivity , medicine , cerebral cortex , radiology , epilepsy
Age (years) 59 (51-75) Gender 13 females, 7 males Valid Hit Rates (%) 70.9 (22.2-100.0) Invalid Hit Rates (%) 44.8 (0.0-72.5) No Change Performance (%) 53.1 (0.0-86.4) Valid False Alarm Rates (%) 19.0 (0.0-100.0) Invalid False Alarm Rates (%) 20.0 (0.0-66.7) Digit Span Backward Task 5 (3-8) Stroop B Task (s) 79 (55-112) ACE III Fluency Task 14 (12-14) TMT B Task (s) 119 (67-175) AVLT Immediate Recall 12 (0-15) AVLT Delayed Recall 12 (1-15) Figure 1. Connections weaker in AD patients compared to healthy controls.