دورية أكاديمية

Identifying individual's distractor suppression using functional connectivity between anatomical large-scale brain regions

التفاصيل البيبلوغرافية
العنوان: Identifying individual's distractor suppression using functional connectivity between anatomical large-scale brain regions
المؤلفون: Lei Zhuo, Zhenlan Jin, Ke Xie, Simeng Li, Feng Lin, Junjun Zhang, Ling Li
المصدر: NeuroImage, Vol 289, Iss , Pp 120552- (2024)
بيانات النشر: Elsevier, 2024.
سنة النشر: 2024
المجموعة: LCC:Neurosciences. Biological psychiatry. Neuropsychiatry
مصطلحات موضوعية: Distractor suppression, Predictive model, Functional connectivity, Large-scale brain regions, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1095-9572
العلاقة: http://www.sciencedirect.com/science/article/pii/S1053811924000478Test; https://doaj.org/toc/1095-9572Test
DOI: 10.1016/j.neuroimage.2024.120552
الوصول الحر: https://doaj.org/article/6eb2dbc77a0f473d8a58a8fd75c145ebTest
رقم الانضمام: edsdoj.6eb2dbc77a0f473d8a58a8fd75c145eb
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:10959572
DOI:10.1016/j.neuroimage.2024.120552