Fronto-cerebellar connectivity mediating cognitive processing speed

• Published in: NeuroImage (Orlando, Fla.) Vol. 226; p. 117556
• Main Authors: Wong, Clive H.Y., Liu, Jiao, Lee, Tatia M.C., Tao, Jing, Wong, Alex W.K., Chau, Bolton K.H., Chen, Lidian, Chan, Chetwyn C.H.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.02.2021; Elsevier Limited; Elsevier
• Subjects: Adolescent; Adult; Attention; Automation; Brain Mapping; Cerebellum; Cerebellum - diagnostic imaging; Cognition - physiology; Cognitive ability; Connectivity; Female; Frontal Lobe - diagnostic imaging; Functional magnetic resonance imaging; Humans; Image Processing, Computer-Assisted; Individual differences; Individuality; Information processing; Magnetic Resonance Imaging; Male; Medial frontal cortex; Neural networks; Neural Pathways - diagnostic imaging; Neuropsychological Tests; Processing speed; Quantitative psychology; Reaction Time - physiology; Sensory integration; Thalamus; Young Adult; Cerebellum; Connectivity; Processing speed; Medial frontal cortex; Individual differences
• ISSN: 1053-8119; 1095-9572; 1095-9572
• DOI: 10.1016/j.neuroimage.2020.117556

•fMRI and multi-modal simple response task elucidate processing speed.•First-order vector autoregression outperformed other analysis methods.•Effective connectivities within cerebello-frontal network subserve cognitive speed.•Long- and short-range paths suggest control and rule-based response processes. Processing speed is an important construct in understanding cognition. This study was aimed to control task specificity for understanding the neural mechanisms underlying cognitive processing speed. Forty young adult subjects performed attention tasks of two modalities (auditory and visual) and two levels of task rules (compatible and incompatible). Block-design fMRI captured BOLD signals during the tasks. Thirteen regions of interest were defined with reference to publicly available activation maps for processing speed tasks. Cognitive speed was derived from task reaction times, which yielded six sets of connectivity measures. Mixed-effect LASSO regression revealed six significant paths suggestive of a cerebello-frontal network predicting the cognitive speed. Among them, three are long range (two fronto-cerebellar, one cerebello-frontal), and three are short range (fronto-frontal, cerebello-cerebellar, and cerebello-thalamic). The long-range connections are likely to relate to cognitive control, and the short-range connections relate to rule-based stimulus-response processes. The revealed neural network suggests that automaticity, acting on the task rules and interplaying with effortful top–down attentional control, accounts for cognitive speed.