Predicting effective connectivity from resting-state networks in healthy elderly and patients with prodromal Alzheimer's disease

Human Brain Mapping

Volumn 35, Issue 3, 2014, Pages 954-963

  Neufang, Susanne ^a   Akhrif, Atae ^a   Riedl, Valentin ^a   Förstl, Hans ^a   Kurz, Alexander ^a   Zimmer, Claus ^a   Sorg, Christian ^a   Wohlschläger, Afra M ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Effective connectivity; Executive attention network; Prodromal Alzheimer's disease; Resting state functional connectivity

Indexed keywords

FMR ANTIGEN; VIRUS ANTIGEN;

AGED; AGING; ALZHEIMER DISEASE; ATTENTION; CONNECTOME; DEVICES; DISEASE COURSE; EXECUTIVE FUNCTION; FEMALE; FOLLOW UP; HUMAN; MALE; MIDDLE AGED; MILD COGNITIVE IMPAIRMENT; NERVE CELL NETWORK; PATHOPHYSIOLOGY; PHYSIOLOGY; PREFRONTAL CORTEX; PROCEDURES; PRODROMAL SYMPTOM; PROGNOSIS; PSYCHOMOTOR PERFORMANCE; REST;

AGED; AGING; ALZHEIMER DISEASE; ANTIGENS, VIRAL; ATTENTION; CONNECTOME; DISEASE PROGRESSION; EXECUTIVE FUNCTION; FEMALE; FOLLOW-UP STUDIES; HUMANS; MALE; MIDDLE AGED; MILD COGNITIVE IMPAIRMENT; NERVE NET; PREFRONTAL CORTEX; PRODROMAL SYMPTOMS; PROGNOSIS; PSYCHOMOTOR PERFORMANCE; REST;

EID: 84893813665     PISSN: 10659471     EISSN: 10970193     Source Type: Journal    
DOI: 10.1002/hbm.22226     Document Type: Article

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