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Volumn 12, Issue , 2015, Pages 123-133

Accurate age classification of 6 and 12 month-old infants based on resting-state functional connectivity magnetic resonance imaging data

(29)  Pruett, John R a   Kandala, Sridhar a   Hoertel, Sarah a   Snyder, Abraham Z a   Elison, Jed T b   Nishino, Tomoyuki a   Feczko, Eric c   Dosenbach, Nico U F a   Nardos, Binyam a   Power, Jonathan D d   Adeyemo, Babatunde a   Botteron, Kelly N a   McKinstry, Robert C a   Evans, Alan C e   Hazlett, Heather C f   Dager, Stephen R g   Paterson, Sarah h   Schultz, Robert T h   Collins, D Louis e   Fonov, Vladimir S e   more..


Author keywords

Development; Functional brain networks; Functional connectivity magnetic resonance imaging (fcMRI); Infant; Multivariate pattern analysis (MVPA); Support vector machine (SVM)

Indexed keywords

AGE; ARTICLE; ARTIFACT; AUTISM DIAGNOSTIC OBSERVATION SCHEDULE; BRAIN DEVELOPMENT; BRAIN SIZE; CHILD BEHAVIOR; CLASSIFICATION; CONNECTOME; CONTROLLED STUDY; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GRAY MATTER; HUMAN; INFANT; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; MEASUREMENT ACCURACY; PRIORITY JOURNAL; RESTING STATE NETWORK; RISK FACTOR; SUPPORT VECTOR MACHINE; ANATOMY AND HISTOLOGY; BRAIN; CHILD DEVELOPMENT DISORDERS, PERVASIVE; CLINICAL TRIAL; GENETICS; MULTICENTER STUDY; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; RISK ASSESSMENT;

EID: 84923321389     PISSN: 18789293     EISSN: 18789307     Source Type: Journal    
DOI: 10.1016/j.dcn.2015.01.003     Document Type: Article
Times cited : (48)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.