High segregation and diminished global integration in large-scale brain functional networks enhances the perceptual binding of cross-modal stimuli

Author:

Shyamchand Singh Soibam12,Mukherjee Abhishek1,Raghunathan Partha1,Ray Dipanjan2,Banerjee Arpan1ORCID

Affiliation:

1. Cognitive Brain Dynamics Lab, National Brain Research Centre , NH8, Manesar, Gurgaon 122052, Haryana, India

2. Department of Psychology, Ashoka University , Sonepat 131029, Haryana, India

Abstract

Abstract Speech perception requires the binding of spatiotemporally disjoint auditory–visual cues. The corresponding brain network-level information processing can be characterized by two complementary mechanisms: functional segregation which refers to the localization of processing in either isolated or distributed modules across the brain, and integration which pertains to cooperation among relevant functional modules. Here, we demonstrate using functional magnetic resonance imaging recordings that subjective perceptual experience of multisensory speech stimuli, real and illusory, are represented in differential states of segregation–integration. We controlled the inter-subject variability of illusory/cross-modal perception parametrically, by introducing temporal lags in the incongruent auditory–visual articulations of speech sounds within the McGurk paradigm. The states of segregation–integration balance were captured using two alternative computational approaches. First, the module responsible for cross-modal binding of sensory signals defined as the perceptual binding network (PBN) was identified using standardized parametric statistical approaches and their temporal correlations with all other brain areas were computed. With increasing illusory perception, the majority of the nodes of PBN showed decreased cooperation with the rest of the brain, reflecting states of high segregation but reduced global integration. Second, using graph theoretic measures, the altered patterns of segregation–integration were cross-validated.

Funder

NBRC Core funds and Computing Facility

Ramalingaswami Fellowship

Innovative Young Biotechnologist Award

Department of Biotechnology, Ministry of Science and Technology, Government of India

National Post-Doctoral Fellowship from Science and Engineering Research Board, Government of India

Publisher

Oxford University Press (OUP)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3