Ying Wang1, Feng Deng2, Yanbin Jia3, Junjing Wang2, Shuming Zhong3, Huiyuan Huang2, Lixiang Chen2, Guanmao Chen1, Huiqing Hu2, Li Huang1, Ruiwang Huang2. 1. Medical Imaging Center, First Affiliated Hospital of Jinan University,Guangzhou 510630,China. 2. Center for the Study of Applied Psychology & MRI Center, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, Institute for Brain Research and Rehabilitation, South China Normal University,Guangzhou 510631,China. 3. Department of Psychiatry,First Affiliated Hospital of Jinan University,Guangzhou 510630,China.
Abstract
BACKGROUND: Bipolar disorder (BD) has been associated with altered brain structural and functional connectivity. However, little is known regarding alterations of the structural brain connectome in BD. The present study aimed to use diffusion-tensor imaging (DTI) and graph theory approaches to investigate the rich club organization and white matter structural connectome in BD. METHODS: Forty-two patients with unmedicated BD depression and 59 age-, sex- and handedness-matched healthy control participants underwent DTI. The whole-brain structural connectome was constructed by a deterministic fiber tracking approach. Graph theory analysis was used to examine the group-specific global and nodal topological properties, and rich club organizations, and then nonparametric permutation tests were used for group comparisons of network parameters. RESULTS: Compared with healthy control participants, the patients with BD showed abnormal global properties, including increased characteristic path length, and decreased global efficiency and local efficiency. Locally, the patients with BD showed abnormal nodal parameters (nodal strength, nodal efficiency, and nodal betweenness) predominantly in the parietal, orbitofrontal, occipital, and cerebellar regions. Moreover, the patients with BD showed decreased rich club and feeder connectivity density. CONCLUSIONS: Our results may reflect the disrupted white matter topological organization in the whole-brain, and abnormal regional connectivity supporting cognitive and affective functioning in depressed BD, which, in part, be due to impaired rich club connectivity.
BACKGROUND:Bipolar disorder (BD) has been associated with altered brain structural and functional connectivity. However, little is known regarding alterations of the structural brain connectome in BD. The present study aimed to use diffusion-tensor imaging (DTI) and graph theory approaches to investigate the rich club organization and white matter structural connectome in BD. METHODS: Forty-two patients with unmedicated BD depression and 59 age-, sex- and handedness-matched healthy control participants underwent DTI. The whole-brain structural connectome was constructed by a deterministic fiber tracking approach. Graph theory analysis was used to examine the group-specific global and nodal topological properties, and rich club organizations, and then nonparametric permutation tests were used for group comparisons of network parameters. RESULTS: Compared with healthy control participants, the patients with BD showed abnormal global properties, including increased characteristic path length, and decreased global efficiency and local efficiency. Locally, the patients with BD showed abnormal nodal parameters (nodal strength, nodal efficiency, and nodal betweenness) predominantly in the parietal, orbitofrontal, occipital, and cerebellar regions. Moreover, the patients with BD showed decreased rich club and feeder connectivity density. CONCLUSIONS: Our results may reflect the disrupted white matter topological organization in the whole-brain, and abnormal regional connectivity supporting cognitive and affective functioning in depressed BD, which, in part, be due to impaired rich club connectivity.
Entities:
Keywords:
Bipolar disorder; diffusion-tensor imaging; graph theory; rich club
Authors: Genevieve McPhilemy; Leila Nabulsi; Liam Kilmartin; Joseph R Whittaker; Fiona M Martyn; Brian Hallahan; Colm McDonald; Kevin Murphy; Dara M Cannon Journal: Brain Connect Date: 2020-07-21
Authors: Jared A Rowland; Jennifer R Stapleton-Kotloski; Greg E Alberto; April T Davenport; Phillip M Epperly; Dwayne W Godwin; James B Daunais Journal: Front Behav Neurosci Date: 2021-06-02 Impact factor: 3.558