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Abstract

Abstract

Visual information processing requires an efficient visual attention system. The neural theory of visual attention (TVA) proposes that visual processing speed depends on the coordinated activity between frontoparietal and occipital brain areas. Previous research has shown that the coordinated activity between (i.e., functional connectivity, ‘inter-FC’) cingulo-opercular (COn) and right-frontoparietal (RFPn) networks is linked to visual processing speed. However, evidence for how inter-FC of COn and RFPn with visual networks links to visual processing speed is still missing. Forty-eight healthy human adult participants (27 females) underwent resting-state (rs-)fMRI and performed a whole-report psychophysical task. To obtain inter-FC, we analyzed the entire frequency range available in our rs-fMRI data (i.e., 0.01-0.4 Hz) to avoid discarding neural information. Following previous approaches, we analyzed the data across frequency bins (Hz): Slow-5 (0.01-0.027), Slow-4 (0.027-0.073), Slow-3 (0.073-0.198), and Slow-2 (0.198-0.4). We used the mathematical TVA framework to estimate an individual, latent-level visual processing speed parameter. We found that visual processing speed was negatively associated with inter-FC between RFPn and visual networks in Slow-5 and Slow-2, with no corresponding significant association for inter-FC between COn and visual networks. These results provide first empirical evidence that links inter-FC between RFPn and visual networks with the visual processing speed parameter. These findings suggest a direct connectivity between occipital and right frontoparietal, but not frontoinsular, regions, to support visual processing speed.

Significance statement An efficient visual processing is at the core of visual cognition. Here, we provide evidence for a brain correlate of how fast individuals process visual stimuli. We used mathematical modeling of performance in a visual report task to estimate visual processing speed. A frequency-based analysis of resting-state fMRI signals revealed that functional connectivity between the right frontoparietal network and primary and dorsal occipital networks is linked to visual processing speed. This link was present in the slowest, typical frequency of the fMRI signal but also in the higher frequencies that are routinely discarded. These findings imply that the coordinated spontaneous activity between right frontoparietal and occipital regions supports the individual potential of the visual system for efficient processing.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

* Conflict of interest statement: The authors declare no competing financial interests.

* https://osf.io/nhqg3/

*

Abbreviations

ACC

anterior cingulate cortex

BOLD

Blood oxygenation level-dependent signal

COn

cingulo-opercular network

IC

independent component

ICA

independent component analysis

inter-FC

between-network functional connectivity

RFPn

right frontoparietal network

rs-fMRI

resting-state functional magnetic resonance imaging

TVA

theory of visual attention

VPS

visual processing speed

Details

1009240
Title
Visual processing speed is linked to functional connectivity between right frontoparietal and visual networks
Publication title
bioRxiv; Cold Spring Harbor
Publication year
2020
Publication date
Nov 12, 2020
Section
New Results
Publisher
Cold Spring Harbor Laboratory Press
Source
BioRxiv
Place of publication
Cold Spring Harbor
Country of publication
United States
University/institution
Cold Spring Harbor Laboratory Press
Publication subject
ISSN
2692-8205
Source type
Working Paper
Language of publication
English
Document type
Working Paper
ProQuest document ID
2507184297
Document URL
https://www.proquest.com/working-papers/visual-processing-speed-is-linked-functional/docview/2507184297/se-2?accountid=208611
Copyright
© 2020. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (“the License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2024-05-13
Database
ProQuest One Academic