PMID- 38387742
OWN - NLM
STAT- MEDLINE
DCOM- 20240311
LR  - 20240311
IS  - 1095-9572 (Electronic)
IS  - 1053-8119 (Linking)
VI  - 289
DP  - 2024 Apr 1
TI  - Identifying individual's distractor suppression using functional connectivity 
      between anatomical large-scale brain regions.
PG  - 120552
LID - S1053-8119(24)00047-8 [pii]
LID - 10.1016/j.neuroimage.2024.120552 [doi]
AB  - Distractor suppression (DS) is crucial in goal-oriented behaviors, referring to 
      the ability to suppress irrelevant information. Current evidence points to the 
      prefrontal cortex as an origin region of DS, while subcortical, occipital, and 
      temporal regions are also implicated. The present study aimed to examine the 
      contribution of communications between these brain regions to visual DS. To do 
      it, we recruited two independent cohorts of participants for the study. One 
      cohort participated in a visual search experiment where a salient distractor 
      triggering distractor suppression to measure their DS and the other cohort filled 
      out a Cognitive Failure Questionnaire to assess distractibility in daily life. 
      Both cohorts collected resting-state functional magnetic resonance imaging 
      (rs-fMRI) data to investigate function connectivity (FC) underlying DS. First, we 
      generated predictive models of the DS measured in visual search task using 
      resting-state functional connectivity between large anatomical regions. It turned 
      out that the models could successfully predict individual's DS, indicated by a 
      significant correlation between the actual and predicted DS (r = 0.32, p < 0.01). 
      Importantly, Prefrontal-Temporal, Insula-Limbic and Parietal-Occipital 
      connections contributed to the prediction model. Furthermore, the model could 
      also predict individual's daily distractibility in the other independent cohort 
      (r = -0.34, p < 0.05). Our findings showed the efficiency of the predictive 
      models of distractor suppression encompassing connections between large 
      anatomical regions and highlighted the importance of the communications between 
      attention-related and visual information processing regions in distractor 
      suppression. Current findings may potentially provide neurobiological markers of 
      visual distractor suppression.
CI  - Copyright (c) 2024. Published by Elsevier Inc.
FAU - Zhuo, Lei
AU  - Zhuo L
AD  - MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key 
      Laboratory of Sichuan Province, Center for Psychiatry and Psychology, School of 
      Life Science and Technology, University of Electronic Science and Technology of 
      China, Chengdu, 610054, PR China.
FAU - Jin, Zhenlan
AU  - Jin Z
AD  - MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key 
      Laboratory of Sichuan Province, Center for Psychiatry and Psychology, School of 
      Life Science and Technology, University of Electronic Science and Technology of 
      China, Chengdu, 610054, PR China. Electronic address: jinzl@uestc.edu.cn.
FAU - Xie, Ke
AU  - Xie K
AD  - Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging 
      Centre, Montreal Neurological Institute and Hospital, McGill University, 
      Montreal, QC H3A 2B4, Canada.
FAU - Li, Simeng
AU  - Li S
AD  - MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key 
      Laboratory of Sichuan Province, Center for Psychiatry and Psychology, School of 
      Life Science and Technology, University of Electronic Science and Technology of 
      China, Chengdu, 610054, PR China.
FAU - Lin, Feng
AU  - Lin F
AD  - MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key 
      Laboratory of Sichuan Province, Center for Psychiatry and Psychology, School of 
      Life Science and Technology, University of Electronic Science and Technology of 
      China, Chengdu, 610054, PR China.
FAU - Zhang, Junjun
AU  - Zhang J
AD  - MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key 
      Laboratory of Sichuan Province, Center for Psychiatry and Psychology, School of 
      Life Science and Technology, University of Electronic Science and Technology of 
      China, Chengdu, 610054, PR China.
FAU - Li, Ling
AU  - Li L
AD  - MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key 
      Laboratory of Sichuan Province, Center for Psychiatry and Psychology, School of 
      Life Science and Technology, University of Electronic Science and Technology of 
      China, Chengdu, 610054, PR China. Electronic address: liling@uestc.edu.cn.
LA  - eng
PT  - Journal Article
DEP - 20240221
PL  - United States
TA  - Neuroimage
JT  - NeuroImage
JID - 9215515
SB  - IM
MH  - Humans
MH  - *Brain/diagnostic imaging
MH  - *Attention
MH  - Visual Perception
MH  - Brain Mapping
MH  - Prefrontal Cortex
MH  - Magnetic Resonance Imaging
OTO - NOTNLM
OT  - Distractor suppression
OT  - Functional connectivity
OT  - Large-scale brain regions
OT  - Predictive model
COIS- Declaration of competing interest The authors declare that there were no 
      conflicts of interest.
EDAT- 2024/02/23 00:42
MHDA- 2024/03/11 06:44
CRDT- 2024/02/22 19:17
PHST- 2023/12/25 00:00 [received]
PHST- 2024/02/19 00:00 [revised]
PHST- 2024/02/20 00:00 [accepted]
PHST- 2024/03/11 06:44 [medline]
PHST- 2024/02/23 00:42 [pubmed]
PHST- 2024/02/22 19:17 [entrez]
AID - S1053-8119(24)00047-8 [pii]
AID - 10.1016/j.neuroimage.2024.120552 [doi]
PST - ppublish
SO  - Neuroimage. 2024 Apr 1;289:120552. doi: 10.1016/j.neuroimage.2024.120552. Epub 
      2024 Feb 21.