Large-Scale Exploration of Whole-Brain Structural Connectivity in Anorexia Nervosa: Alterations in the Connectivity of Frontal and Subcortical Networks

被引:4
|
作者
Lloyd, E. Caitlin [1 ,2 ]
Foerde, Karin E. [1 ,2 ,4 ]
Muratore, Alexandra F. [1 ,2 ]
Aw, Natalie [2 ]
Semanek, David [1 ,2 ]
Steinglass, Joanna E. [1 ,2 ]
Posner, Jonathan [3 ]
机构
[1] Columbia Univ, Dept Neurol Surg, Irving Med Ctr, New York, NY 10032 USA
[2] New York State Psychiat Inst & Hosp, New York, NY 10032 USA
[3] Duke Univ, Dept Psychiat, Durham, NC USA
[4] Univ Amsterdam, Dept Psychol, Amsterdam, Netherlands
关键词
TEST-RETEST RELIABILITY; RICH-CLUB ORGANIZATION; EATING-DISORDERS; BULIMIA-NERVOSA; DIFFUSION; CONNECTOME; HARMONIZATION; TRACTOGRAPHY; COMORBIDITY; MECHANISMS;
D O I
10.1016/j.bpsc.2022.06.002
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
BACKGROUND: Anorexia nervosa (AN) is characterized by disturbances in cognition and behavior surrounding eating and weight. The severity of AN combined with the absence of localized brain abnormalities suggests distributed, systemic underpinnings that may be identified using diffusion-weighted magnetic resonance imaging and tractography to reconstruct white matter pathways.METHODS: Diffusion-weighted magnetic resonance imaging data acquired from female patients with AN (n = 147) and female healthy control (HC) participants (n = 119), ages 12 to 40 years, were combined across 5 studies. Probabilistic tractography was completed, and full-cortex connectomes describing streamline counts between 84 brain regions were generated and harmonized. Graph theory methods were used to describe alterations in network organization in AN. The network-based statistic tested between-group differences in brain subnetwork connectivity. The metrics strength and efficiency indexed the connectivity of brain regions (network nodes) and were compared between groups using multiple linear regression.RESULTS: Individuals with AN, relative to HC peers, had reduced connectivity in a network comprising subcortical regions and greater connectivity between frontal cortical regions (p < .05, familywise error corrected). Node-based analyses indicated reduced connectivity of the left hippocampus in patients relative to HC peers (p < .05, permutation corrected). Severity of illness, assessed by body mass index, was associated with subcortical connectivity (p < .05, uncorrected).CONCLUSIONS: Analyses identified reduced structural connectivity of subcortical networks and regions, and stronger cortical network connectivity, among individuals with AN relative to HC peers. These findings are consistent with alterations in feeding, emotion, and executive control circuits in AN, and may direct hypothesis-driven research into mechanisms of persistent restrictive eating behavior.
引用
收藏
页码:864 / 873
页数:10
相关论文
共 50 条
  • [21] Fluctuations in Global Brain Activity Are Associated With Changes in Whole-Brain Connectivity of Functional Networks
    Scheinost, Dustin
    Tokoglu, Fuyuze
    Shen, Xilin
    Finn, Emily S.
    Noble, Stephanie
    Papademetris, Xenophon
    Constable, R. Todd
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2016, 63 (12) : 2540 - 2549
  • [22] Large-scale brain dynamics: effect of connectivity resolution
    Timothée Proix
    Andreas Spiegler
    Viktor K Jirsa
    BMC Neuroscience, 16 (Suppl 1)
  • [23] Connectivity of Large-Scale Cognitive Radio AdHoc Networks
    Lu, Dianjie
    Huang, Xiaoxia
    Li, Pan
    Fan, Jianping
    2012 PROCEEDINGS IEEE INFOCOM, 2012, : 1260 - 1268
  • [24] On the Opportunistic Connectivity of Large-Scale Urban Vehicular Networks
    Zhu, Xiangming
    Li, Yong
    Jin, Depeng
    Hui, Pan
    2013 21ST IEEE INTERNATIONAL CONFERENCE ON NETWORK PROTOCOLS (ICNP), 2013,
  • [25] Disturbed Resting-State Whole-Brain Functional Connectivity of Striatal Subregions in Bulimia Nervosa
    Wang, Li
    Bi, Kun
    Song, Zhou
    Zhang, Zhe
    Li, Ke
    Kong, Qing-Mei
    Li, Xue-Ni
    Lu, Qing
    Si, Tian-Mei
    INTERNATIONAL JOURNAL OF NEUROPSYCHOPHARMACOLOGY, 2020, 23 (06): : 356 - 365
  • [26] Whole-brain functional connectivity and structural network properties in stroke patients with hemiplegia
    Cao, Xuejin
    Wang, Zan
    Wang, Hongxing
    Zhou, Hengrui
    Quan, Jia
    Chen, Xiaohui
    Yang, Xi
    Ju, Shenghong
    Wang, Yuancheng
    Guo, Yijing
    NEUROSCIENCE, 2025, 565 : 420 - 430
  • [27] Changes in resting-state functional connectivity of large-scale brain networks in bulimia nervosa: evidence from causal analysis
    Wang, Jiani
    Wang, Xinghao
    Wang, Yiling
    Li, Weihua
    Li, Zhanjiang
    Tang, Lirong
    Huang, Xinyu
    Grzegorzek, Marcin
    Chen, Qian
    Wang, Zhenchang
    Zhang, Peng
    CEREBRAL CORTEX, 2024, 34 (11)
  • [28] Aberrant dynamic Functional-Structural connectivity coupling of Large-scale brain networks in poststroke motor dysfunction
    Liu, Xiaoying
    Qiu, Shuting
    Wang, Xiaoyang
    Chen, Hui
    Tang, Yuting
    Qin, Yin
    NEUROIMAGE-CLINICAL, 2023, 37
  • [29] Dynamic effective connectivity among large-scale brain networks mediates risk of anxiety
    Tian, Tian
    Liu, Dong
    Zhang, Guiling
    Wang, Jian
    Wan, Changhua
    Fang, Jicheng
    Wu, Di
    Zhou, Yiran
    Qin, Yuanyuan
    Zhu, Hongquan
    Li, Yuanhao
    Liu, Chengxia
    Zhang, Jiaxuan
    Li, Jia
    Zhu, Wenzhen
    HUMAN BRAIN MAPPING, 2023, 44 (09) : 3730 - 3743
  • [30] Attenuated effective connectivity of large-scale brain networks in children with autism spectrum disorders
    Wei, Lei
    Zhang, Yao
    Zhai, Wensheng
    Wang, Huaning
    Zhang, Junchao
    Jin, Haojie
    Feng, Jianfei
    Qin, Qin
    Xu, Hao
    Li, Baojuan
    Liu, Jian
    FRONTIERS IN NEUROSCIENCE, 2022, 16