Investigating univariate temporal patterns for intrinsic connectivity networks based on complexity and low-frequency oscillation: A test-retest reliability study

Neuroscience

Volumn 254, Issue , 2013, Pages 404-426

  Wang, X ^a,c   Jiao, Y ^b   Tang, T ^a,c   Wang, H ^a,c   Lu, Z ^a,c  

^a SOUTHEAST UNIVERSITY   (China)

^b MEDICAL SCHOOL OF SOUTHEAST UNIVERSITY   (China)

^c Southeast University   (China)

Author keywords

Complexity estimators; Intrinsic connectivity networks; Low frequency oscillation; Resting state fMRI; Test retest reliability

Indexed keywords

ADULT; ARTICLE; CONTROLLED STUDY; CORRELATION ANALYSIS; DEFAULT MODE NETWORK; ECHO PLANAR IMAGING; FEMALE; HUMAN; HUMAN EXPERIMENT; INTRINSIC CONNECTIVITY NETWORK; MALE; NERVE CELL NETWORK; NEUROANATOMY; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE SCANNER; OSCILLATION; PRIORITY JOURNAL; REPRODUCIBILITY; TEST RETEST RELIABILITY; UNIVARIATE ANALYSIS; VALIDATION STUDY; VISUAL SYSTEM FUNCTION; BIOLOGICAL RHYTHM; BRAIN; BRAIN MAPPING; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; STANDARDS; TIME; YOUNG ADULT;

ADULT; BIOLOGICAL CLOCKS; BRAIN; BRAIN MAPPING; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; NERVE NET; NEURAL PATHWAYS; REPRODUCIBILITY OF RESULTS; TIME FACTORS; YOUNG ADULT;

EID: 84887605771     PISSN: 03064522     EISSN: 18737544     Source Type: Journal    
DOI: 10.1016/j.neuroscience.2013.09.009     Document Type: Article

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