A wavelet-based estimator of the degrees of freedom in denoised fMRI time series for probabilistic testing of functional connectivity and brain graphs

NeuroImage

Volumn 142, Issue , 2016, Pages 14-26

  Patel, Ameera X ^a   Bullmore, Edward T ^a,b,c  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b GLAXOSMITHKLINE   (United Kingdom)

^c CAMBRIDGESHIRE AND PETERBOROUGH NHS FOUNDATION TRUST   (United Kingdom)

Author keywords

Connectivity; Degrees of freedom; Despiking; fMRI; Graph theory; Inference; Probabilistic; Statistic; Wavelet despike

Indexed keywords

ACCESS TO INFORMATION; ADULT; ANALYTICAL ERROR; ARTICLE; BRAIN MAPPING; CHILD; CONNECTOME; CORRELATION ANALYSIS; FUNCTIONAL CONNECTIVITY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEAD MOVEMENT; HUMAN; IMAGE PROCESSING; IMAGING SOFTWARE; INTERNET; MATHEMATICAL ANALYSIS; MEASUREMENT ACCURACY; NERVE CELL NETWORK; NEUROANATOMY; NOISE REDUCTION; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; PROBABILITY; SCHOOL CHILD; TIME SERIES ANALYSIS; WAVELET ANALYSIS; BRAIN; DIAGNOSTIC IMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PROCEDURES; STATISTICAL ANALYSIS;

ADULT; BRAIN; CHILD; CONNECTOME; DATA INTERPRETATION, STATISTICAL; HUMANS; MAGNETIC RESONANCE IMAGING;

EID: 84994316518     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2015.04.052     Document Type: Article

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