Whole‐brain computational modeling reveals disruption of microscale brain dynamics in HIV infected individuals

MRI‐based neuroimaging techniques have been used to investigate brain injury associated with HIV‐infection. Whole‐brain cortical mean‐field dynamic modeling provides a way to integrate structural and functional imaging outcomes, allowing investigation of microscale brain dynamics. In this study, we...

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Vydáno v:	Human brain mapping Ročník 42; číslo 1; s. 95 - 109
Hlavní autoři:	Zhuang, Yuchuan, Zhang, Zhengwu, Tivarus, Madalina, Qiu, Xing, Zhong, Jianhui, Schifitto, Giovanni
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Hoboken, USA John Wiley & Sons, Inc 01.01.2021
Témata:	Adult Antiretroviral agents Antiretroviral drugs Antiretroviral therapy Antiretroviral Therapy, Highly Active Brain Brain - diagnostic imaging Brain - pathology Brain - physiopathology Brain injury Clustering Cognitive ability Computational neuroscience Computer simulation Computer-generated environments Connectome Correlation analysis Default Mode Network - diagnostic imaging Default Mode Network - pathology Default Mode Network - physiopathology Diffusion Tensor Imaging Dynamic models Dynamic structural analysis Dynamics Echo-Planar Imaging Female Follow-Up Studies graph theoretical analysis Head injuries Highly active antiretroviral therapy HIV HIV (Viruses) HIV infection HIV Infections - diagnostic imaging HIV Infections - drug therapy HIV Infections - pathology HIV Infections - physiopathology HIV patients Human immunodeficiency virus Humans Infection Injuries Investigations Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical imaging Medical research Medicine, Experimental Models, Theoretical Nerve Net - diagnostic imaging Nerve Net - pathology Nerve Net - physiopathology Neural networks Neuroimaging Neuroimaging - methods Parameters resting‐state functional MRI Structure-function relationships Topology tractography whole‐brain computational modeling tractography HIV-infection whole-brain computational modeling resting-state functional MRI graph theoretical analysis
ISSN:	1065-9471, 1097-0193, 1097-0193
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Shrnutí:	MRI‐based neuroimaging techniques have been used to investigate brain injury associated with HIV‐infection. Whole‐brain cortical mean‐field dynamic modeling provides a way to integrate structural and functional imaging outcomes, allowing investigation of microscale brain dynamics. In this study, we adopted the relaxed mean‐field dynamic modeling to investigate structural and functional connectivity in 42 HIV‐infected subjects before and after 12‐week of combination antiretroviral therapy (cART) and compared them with 46 age‐matched healthy subjects. Microscale brain dynamics were modeled by a set of parameters including two region‐specific microscale brain properties, recurrent connection strengths, and subcortical inputs. We also analyzed the relationship between the model parameters (i.e., the recurrent connection and subcortical inputs) and functional network topological characterizations, including smallworldness, clustering coefficient, and network efficiency. The results show that untreated HIV‐infected individuals have disrupted local brain dynamics that in part correlate with network topological measurements. Notably, after 12 weeks of cART, both the microscale brain dynamics and the network topological measurements improved and were closer to those in the healthy brain. This was also associated with improved cognitive performance, suggesting that improvement in local brain dynamics translates into clinical improvement. In this study, we adopted the relaxed mean‐field dynamic modeling to investigate structural and functional connectivity in 42 HIV‐infected subjects before and after 12 week of combination antiretroviral therapy (cART) and compared them with 46 age‐matched healthy subjects. The results show that untreated HIV‐infected individuals have disrupted local brain dynamics that in part correlate with network topological measurements. Notably, after 12 weeks of cART, both the microscale brain dynamics and the network topological measurements improved and were closer to those in the healthy brain. This was also associated with improved cognitive performance, suggesting that improvement in local brain dynamics translates into clinical improvement.
Bibliografie:	Funding information National Institutes of Health, Grant/Award Numbers: R01 AG054328, R01 MH099921, R01MH118020, UL1TR002001 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Funding information National Institutes of Health, Grant/Award Numbers: R01 AG054328, R01 MH099921, R01MH118020, UL1TR002001
ISSN:	1065-9471 1097-0193 1097-0193
DOI:	10.1002/hbm.25207