Spontaneous neuronal activity predicts intersubject variations in executive control of attention

• Published in: Neuroscience Vol. 263; pp. 181 - 192
• Main Authors: Xu, J, Rees, G, Yin, X, Song, C, Han, Y, Ge, H, Pang, Z, Xu, W, Tang, Y, Friston, K, Liu, S
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier 28.03.2014
• Subjects: Adolescent; Adult; Attention - physiology; Biological and medical sciences; Brain Mapping; Executive Function - physiology; Female; Frontal Lobe - physiology; Fundamental and applied biological sciences. Psychology; Humans; Individuality; Magnetic Resonance Imaging; Male; Nerve Net - physiology; Neurology; Parietal Lobe - physiology; Sex Factors; Vertebrates: nervous system and sense organs; Young Adult; ADHD; RT; attention deficit hyperactivity disorder; FFG; ANT; medial part of left superior frontal gyrus; low-frequency fluctuations; LFF; dorsal anterior cingulate cortex; msFC; dACC; blood oxygen level-dependent; SFG; echo time; RSFC; resting-state functional connectivity; BOLD; Attention Network Test; fractional ALFF; repetition time; DMN; regions of interest; amplitude of low-frequency fluctuations; PCUN; FOV; field of view; fALFF; ROI; superior frontal gyrus; fusiform gyrus; fMRI; TE; functional connectivity; ALFF; precuneus; response time; executive control; FA; default mode network; flip angle; resting-state fMRI; functional magnetic resonance imaging; TR; Nuclear magnetic resonance imaging; Functional imaging
• ISSN: 0306-4522; 1873-7544
• DOI: 10.1016/j.neuroscience.2014.01.020

Highlights • Resting-state BOLD amplitude predicts individual variability. • Resting-state functional connectivity predicts executive performance. • Resting-state functional connectivity predicts more individual variability.