Hierarchical integrated and segregated processing in the functional brain default mode network within attention-deficit/hyperactivity disorder
Autoři:
Yongchen Fan aff001; Rong Wang aff003; Pan Lin aff004; Ying Wu aff001
Působiště autorů:
State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi’an Jiaotong University, Xi’an, China
aff001; School of Aerospace Engineering, Xi’an Jiaotong University, Xi’an, China
aff002; College of Science, Xi’an University of Science and Technology, Xi’an, China
aff003; Department of Psychology and Cognition and Human Behavior Key Laboratory of Hunan Province, Hunan Normal University, Hunan, China
aff004; National Demonstration Center for Experimental Mechanics Education, Xi’an Jiaotong University, Xi’an, China
aff005
Vyšlo v časopise:
PLoS ONE 14(9)
Kategorie:
Research Article
prolekare.web.journal.doi_sk:
https://doi.org/10.1371/journal.pone.0222414
Souhrn
The hierarchical modular organization of functional networks in the brain is crucial for supporting diverse cognitive functions. Functional disorders in the brain are associated with an abnormal hierarchical modular organization. The default mode network (DMN) is a complex dynamic network that is linked to specialized cognitive functions and clinically relevant information. In this study, we hypothesize that hierarchical functional segregation and integration of the DMN within attention-deficit/hyperactivity disorder (ADHD) is abnormal. We investigated topological metrics of both segregation and integration in different hierarchical subnetworks of the DMN between patients with ADHD and healthy controls. We found that the hierarchical functional integration and segregation of the DMN decreased and increased, respectively, in ADHD. Our results also indicated that the abnormalities in the DMN are intrinsically caused by changes in functional segregation and integration in its higher-level subnetworks. To better understand the temporally dynamic changes in the hierarchical functional integration and segregation of the DMN within ADHD, we further analyzed the dynamic transitions between functional segregation and integration. We found that the adaptive reorganizational ability of brain network states decreased in ADHD patients, which indicated less adaptive regulation between the DMN subnetworks in ADHD for supporting correspondingly normal cognitive function. From the perspective of hierarchical functional segregation and integration, our results further provide evidence to support dysfunctional brain cognitive functions within ADHD linked to brain network segregation and integration.
Klíčová slova:
Biology and life sciences – Physical sciences – Research and analysis methods – Neuroscience – Cognitive science – Computer and information sciences – Network analysis – Mathematics – Anatomy – Medicine and health sciences – Diagnostic medicine – Neurology – Imaging techniques – Mental health and psychiatry – Brain – Cognition – Brain mapping – Functional magnetic resonance imaging – Neuroimaging – Cerebral hemispheres – Left hemisphere – Right hemisphere – Diagnostic radiology – Magnetic resonance imaging – Radiology and imaging – Neural networks – Developmental neuroscience – Neurodevelopmental disorders – ADHD – Neuropsychiatric disorders – Graph theory – Clustering coefficients
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