Dynamic network dysfunction in cocaine dependence: Graph theoretical metrics and stop signal reaction time
| Autor: | Guozhao Dong, Jaime S. Ide, Xiaoying Tang, Yihe Zhang, Chiang-Shan R. Li, Simon Zhornitsky, Sien Hu, Wuyi Wang, Sheng Zhang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Adult
Male Dynamic network analysis Computer science Cognitive Neuroscience Stop signal lcsh:Computer applications to medicine. Medical informatics Graph metrics Brain mapping 050105 experimental psychology lcsh:RC346-429 Cocaine dependence Cocaine-Related Disorders Executive Function 03 medical and health sciences Cognition 0302 clinical medicine Cocaine Neural Pathways Reaction Time medicine Humans 0501 psychology and cognitive sciences Radiology Nuclear Medicine and imaging Inhibitory control Substance use disorders Default mode network lcsh:Neurology. Diseases of the nervous system Dynamic functional connectivity Connectivity Brain Mapping Artificial neural network 05 social sciences Brain Regular Article medicine.disease Magnetic Resonance Imaging Neurology Response inhibition Graph (abstract data type) lcsh:R858-859.7 Female Neurology (clinical) Neuroscience 030217 neurology & neurosurgery |
| Zdroj: | NeuroImage: Clinical, Vol 18, Iss, Pp 793-801 (2018) NeuroImage : Clinical |
| ISSN: | 2213-1582 |
| Popis: | Graphic theoretical metrics have become increasingly popular in characterizing functional connectivity of neural networks and how network connectivity is compromised in neuropsychiatric illnesses. Here, we add to this literature by describing dynamic network connectivities of 78 cocaine dependent (CD) and 85 non-drug using healthy control (HC) participants who underwent fMRI during performance of a stop signal task (SST). Compared to HC, CD showed prolonged stop signal reaction time (SSRT), consistent with deficits in response inhibition. In graph theoretical analysis of dynamic functional connectivity, we examined temporal flexibility and spatiotemporal diversity of 14 networks covering the whole brain. Temporal flexibility quantifies how frequently a brain region interacts with regions of other communities across time, with high temporal flexibility indicating that a region interacts predominantly with regions outside its own community. Spatiotemporal diversity quantifies how uniformly a brain region interacts with regions in other communities over time, with high spatiotemporal diversity indicating that the interactions are more evenly distributed across communities. Compared to HC, CD exhibited decreased temporal flexibility and increased spatiotemporal diversity in the great majority of neural networks. The graph metric measures of the default mode network negatively correlated with SSRT in CD but not HC. The findings are consistent with diminished temporal flexibility and a compensatory increase in spatiotemporal diversity, in association with impairment of a critical executive function, in cocaine addiction. More broadly, the findings suggest that graph theoretical metrics provide new insights for connectivity analyses to elucidate network dysfunction that may elude conventional measures. Highlights • Cocaine addiction (CA) is associated with prolonged stop signal reaction time (SSRT). • CA is associated with decreased temporal flexibility (TF) of neural networks. • CA is associated with increased spatial temporal diversity (STD) of neural networks. • The TF and STD of default mode network correlated negatively with SSRT in CA. • Dynamic connectivity captures network dysfunction in link with inhibition deficits in CA. |
| Databáze: | OpenAIRE |
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