Lihua Qiu1, Mingrui Xia1, Bochao Cheng1, Lin Yuan1, Weihong Kuang1, Feng Bi1, Hua Ai1, Zhongwei Gu1, Su Lui1, Xiaoqi Huang1, Yong He1, Qiyong Gong1. 1. From the Huaxi MR Research Centre (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Qiu, Chen, Lui, Huang, Gong); the Department of Radiology, The Second People's Hospital of Yibin, Yibin, China (Qiu); the National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China (Xia, Yuan, He); the Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China (Xia, He); the IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Xia, He); the Department of Psychiatry, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Kuang); the Department of Oncology, State Key Lab of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China (Bi); the National Engineering Research Centre for Biomaterials, Sichuan University, Chengdu, Sichuan, China (Ai, Gu).
Abstract
BACKGROUND: Accumulating evidence supports the concept of the amygdala as a complex of structurally and functionally heterogeneous nuclei rather than as a single homogeneous structure. However, changes in resting-state functional connectivity in amygdalar subregions have not been investigated in major depressive disorder (MDD). Here, we explored whether amygdalar subregions - including the laterobasal, centromedial (CM) and superficial (SF) areas - exhibited distinct disruption patterns for different dynamic functional connectivity (dFC) properties, and whether these different properties were correlated with clinical information in patients with MDD. METHODS: Thirty untreated patients with first-episode MDD and 62 matched controls were included. We assessed between-group differences in the mean strength of dFC in each amygdalar subregion in the whole brain using general linear model analysis. RESULTS: The patients with MDD showed decreased strength in positive dFC between the left CM/SF and brainstem and between the left SF and left thalamus; they showed decreased strength in negative dFC between the left CM and right superior frontal gyrus (p < 0.05, family-wise error-corrected). We found significant positive correlations between age at onset and the mean positive strength of dFC in the left CM/brainstem in patients with MDD. LIMITATIONS: The definitions of amygdalar subregions were based on a cytoarchitectonic delineation, and the temporal resolution of the fMRI was slow (repetition time = 2 s). CONCLUSION: These findings confirm the distinct dynamic functional pathway of amygdalar subregions in MDD and suggest that the limbic-cortical-striato-pallido-thalamic circuitry plays a crucial role in the early stages of MDD.
BACKGROUND: Accumulating evidence supports the concept of the amygdala as a complex of structurally and functionally heterogeneous nuclei rather than as a single homogeneous structure. However, changes in resting-state functional connectivity in amygdalar subregions have not been investigated in major depressive disorder (MDD). Here, we explored whether amygdalar subregions - including the laterobasal, centromedial (CM) and superficial (SF) areas - exhibited distinct disruption patterns for different dynamic functional connectivity (dFC) properties, and whether these different properties were correlated with clinical information in patients with MDD. METHODS: Thirty untreated patients with first-episode MDD and 62 matched controls were included. We assessed between-group differences in the mean strength of dFC in each amygdalar subregion in the whole brain using general linear model analysis. RESULTS: The patients with MDD showed decreased strength in positive dFC between the left CM/SF and brainstem and between the left SF and left thalamus; they showed decreased strength in negative dFC between the left CM and right superior frontal gyrus (p < 0.05, family-wise error-corrected). We found significant positive correlations between age at onset and the mean positive strength of dFC in the left CM/brainstem in patients with MDD. LIMITATIONS: The definitions of amygdalar subregions were based on a cytoarchitectonic delineation, and the temporal resolution of the fMRI was slow (repetition time = 2 s). CONCLUSION: These findings confirm the distinct dynamic functional pathway of amygdalar subregions in MDD and suggest that the limbic-cortical-striato-pallido-thalamic circuitry plays a crucial role in the early stages of MDD.
Authors: Wenjun Li; B Douglas Ward; Chunming Xie; Jennifer L Jones; Piero G Antuono; Shi-Jiang Li; Joseph S Goveas Journal: J Psychiatr Res Date: 2015-09-09 Impact factor: 4.791
Authors: Rebecca Kerestes; Henry W Chase; Mary L Phillips; Cecile D Ladouceur; Simon B Eickhoff Journal: Neuroimage Date: 2017-01-09 Impact factor: 6.556
Authors: Theodore D Satterthwaite; Daniel H Wolf; James Loughead; Kosha Ruparel; Mark A Elliott; Hakon Hakonarson; Ruben C Gur; Raquel E Gur Journal: Neuroimage Date: 2012-01-02 Impact factor: 6.556
Authors: Philip van Eijndhoven; Guido van Wingen; Koen van Oijen; Mark Rijpkema; Bozena Goraj; Robbert Jan Verkes; Richard Oude Voshaar; Guillén Fernández; Jan Buitelaar; Indira Tendolkar Journal: Biol Psychiatry Date: 2008-11-22 Impact factor: 13.382
Authors: Natalia M Kleinhans; Maya A Reiter; Emily Neuhaus; Greg Pauley; Nathalie Martin; Stephen Dager; Annette Estes Journal: Autism Res Date: 2015-12-15 Impact factor: 5.216