Using quantitative and analytic EEG methods in the understanding of connectivity in autism spectrum disorders: A theory of mixed over- and under-connectivity

Frontiers in Human Neuroscience

Volumn 8, Issue 1 FEB, 2014, Pages

  Coben, Robert ^a   Mohammad Rezazadeh, Iman ^b,c   Cannon, Rex L ^a  

^a Neurorehabilitation and Neuropsychological Services ^*  (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Autism spectrum disorders; Coherence analysis; Connectivity analysis; EEG MEG; Granger causation analysis; sLORETA

Indexed keywords

ARTICLE; AUTISM; DIFFUSION TENSOR IMAGING; DISEASE ASSOCIATION; ELECTROENCEPHALOGRAM; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; GRANGER CAUSALITY; HUMAN; INTERMETHOD COMPARISON; MULTIVARIATE ANALYSIS; NERVOUS SYSTEM PARAMETERS; NEURONAL CONNECTIVITY; PATIENT ASSESSMENT; PRINCIPAL COMPONENT ANALYSIS; QUANTITATIVE ANALYSIS; SLORETA SOURCE COHERENCE; SPIKE WAVE; STATISTICAL MODEL; VALIDITY;

EID: 84901834973     PISSN: None     EISSN: 16625161     Source Type: Journal    
DOI: 10.3389/fnhum.2014.00045     Document Type: Article

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