Pattern of frustration formation in the functional brain network

Author:

Saberi Majid1,Khosrowabadi Reza1,Khatibi Ali2,Misic Bratislav3,Jafari Gholamreza145

Affiliation:

1. Institute for Cognitive and Brain Sciences, Shahid Beheshti University, G.C. Tehran, Iran

2. Centre of Precision Rehabilitation for Spinal Pain (CPR Spine), School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, UK

3. McConnell Brain Imaging Centre, Montréal Neurological Institute, McGill University, Montréal, QC, Canada

4. Physics Department, Shahid Beheshti University, Tehran, Iran

5. Institute of Information Technology and Data Science, Irkutsk National Research Technical University, Irkutsk, Russia

Abstract

Abstract The brain is a frustrated system that contains conflictual link arrangements named frustration. The frustration as a source of disorder prevents the system from settling into low-energy states and provides flexibility for brain network organization. In this research, we tried to identify the pattern of frustration formation in the brain at the levels of region, connection, canonical network, and hemisphere. We found that frustration formation has no uniform pattern. Some subcortical elements have an active role in frustration formation, despite low contributions from many cortical elements. Frustrating connections are mostly between-network connections, and triadic frustrations are mainly formed between three regions from three distinct canonical networks. We did not find any significant differences between brain hemispheres or any robust differences between the frustration formation patterns of various life-span stages. Our results may be interesting for those who study the organization of brain links and promising for those who want to manipulate brain networks.

Publisher

MIT Press

Subject

Applied Mathematics,Artificial Intelligence,Computer Science Applications,General Neuroscience

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Geometrically frustrated systems which are as singles hotter than in company;Journal of Physics A: Mathematical and Theoretical;2024-07-25

2. Comparison of Two Heuristic Algorithms for Correlation Clustering Problem Solving;2023 5th International Conference on Problems of Cybernetics and Informatics (PCI);2023-08-28

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