Predicting treatment response from resting state fMRI data: Comparison of parcellation approaches

Proceedings - 2013 3rd International Workshop on Pattern Recognition in Neuroimaging, PRNI 2013

Volumn , Issue , 2013, Pages 225-228

  Ghosh, Satrajit S ^a   Keshavan, Anisha ^a   Langs, Georg ^b,c  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b MEDICAL UNIVERSITY OF VIENNA   (Austria)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Diffusion Embedding; Graph Measures; Resting State Functional MRI; Treatment outcome

Indexed keywords

BEHAVIORAL MEASURES; CONNECTIVITY STRUCTURES; FUNCTIONAL NETWORK; GRAPH MEASURES; NETWORK CHARACTERISTICS; RESTING STATE FUNCTIONAL MRIS; TREATMENT OUTCOMES; TREATMENT RESPONSE;

BRAIN; FORECASTING; NEUROIMAGING; PATTERN RECOGNITION; PRASEODYMIUM ALLOYS;

PATIENT TREATMENT;

EID: 84885208950     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PRNI.2013.64     Document Type: Conference Paper

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