File Download
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1016/j.neuroimage.2020.117556
- Scopus: eid_2-s2.0-85096820069
- PMID: 33189930
- WOS: WOS:000608035900032
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Fronto-cerebellar connectivity mediating cognitive processing speed
Title | Fronto-cerebellar connectivity mediating cognitive processing speed |
---|---|
Authors | |
Keywords | Processing speed Individual differences Connectivity Medial frontal cortex Cerebellum |
Issue Date | 2021 |
Publisher | Elsevier: Creative Commons. The Journal's web site is located at http://www.elsevier.com/locate/ynimg |
Citation | NeuroImage, 2021, v. 226, p. article no. 117556 How to Cite? |
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. |
Persistent Identifier | http://hdl.handle.net/10722/306125 |
ISSN | 2023 Impact Factor: 4.7 2023 SCImago Journal Rankings: 2.436 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wong, HY | - |
dc.contributor.author | Liu, J | - |
dc.contributor.author | Lee, TMC | - |
dc.contributor.author | Tao, J | - |
dc.contributor.author | Wong, AWK | - |
dc.contributor.author | Chau, BKH | - |
dc.contributor.author | Chen, L | - |
dc.contributor.author | Chan, CCH | - |
dc.date.accessioned | 2021-10-20T10:19:08Z | - |
dc.date.available | 2021-10-20T10:19:08Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | NeuroImage, 2021, v. 226, p. article no. 117556 | - |
dc.identifier.issn | 1053-8119 | - |
dc.identifier.uri | http://hdl.handle.net/10722/306125 | - |
dc.description.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. | - |
dc.language | eng | - |
dc.publisher | Elsevier: Creative Commons. The Journal's web site is located at http://www.elsevier.com/locate/ynimg | - |
dc.relation.ispartof | NeuroImage | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Processing speed | - |
dc.subject | Individual differences | - |
dc.subject | Connectivity | - |
dc.subject | Medial frontal cortex | - |
dc.subject | Cerebellum | - |
dc.title | Fronto-cerebellar connectivity mediating cognitive processing speed | - |
dc.type | Article | - |
dc.identifier.email | Wong, HY: hycwong@hku.hk | - |
dc.identifier.email | Lee, TMC: tmclee@hku.hk | - |
dc.identifier.authority | Lee, TMC=rp00564 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1016/j.neuroimage.2020.117556 | - |
dc.identifier.pmid | 33189930 | - |
dc.identifier.scopus | eid_2-s2.0-85096820069 | - |
dc.identifier.hkuros | 328010 | - |
dc.identifier.volume | 226 | - |
dc.identifier.spage | article no. 117556 | - |
dc.identifier.epage | article no. 117556 | - |
dc.identifier.isi | WOS:000608035900032 | - |
dc.publisher.place | United States | - |