Literature DB >> 33189930

Fronto-cerebellar connectivity mediating cognitive processing speed.

Clive H Y Wong1, Jiao Liu2, Tatia M C Lee3, Jing Tao4, Alex W K Wong5, Bolton K H Chau6, Lidian Chen7, Chetwyn C H Chan8.   

Abstract

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.
Copyright © 2020. Published by Elsevier Inc.

Entities:  

Keywords:  Cerebellum; Connectivity; Individual differences; Medial frontal cortex; Processing speed

Year:  2020        PMID: 33189930     DOI: 10.1016/j.neuroimage.2020.117556

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  2 in total

1.  Functional Neural Correlates of a Useful Field of View (UFOV)-Based fMRI Task in Older Adults.

Authors:  Jessica N Kraft; Alejandro Albizu; Andrew O'Shea; Hanna K Hausman; Nicole D Evangelista; Emanuel Boutzoukas; Cheshire Hardcastle; Emily J Van Etten; Pradyumna K Bharadwaj; Hyun Song; Samantha G Smith; Steven DeKosky; Georg A Hishaw; Samuel Wu; Michael Marsiske; Ronald Cohen; Gene E Alexander; Eric Porges; Adam J Woods
Journal:  Cereb Cortex       Date:  2022-04-20       Impact factor: 4.861

2.  Are Dietary Patterns Related to Cognitive Performance in 7-Year-Old Children? Evidence from a Birth Cohort in Friuli Venezia Giulia, Italy.

Authors:  Michela Marinoni; Elisa Giordani; Cedric Mosconi; Valentina Rosolen; Federica Concina; Federica Fiori; Claudia Carletti; Alessandra Knowles; Paola Pani; Maura Bin; Luca Ronfani; Monica Ferraroni; Fabio Barbone; Maria Parpinel; Valeria Edefonti
Journal:  Nutrients       Date:  2022-10-07       Impact factor: 6.706

  2 in total

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