Wenbin Li1, Ziqi Chen1, Min Wu1, Hongyan Zhu2, Lei Gu3, Youjin Zhao1, Weihong Kuang4, Feng Bi5, Graham J Kemp6, Qiyong Gong7. 1. Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China. 2. Laboratory of Stem Cell Biology, West China Hospital of Sichuan University, Chengdu, Sichuan, China. Electronic address: hyzhu_hmrrc@126.com. 3. Laboratory of Stem Cell Biology, West China Hospital of Sichuan University, Chengdu, Sichuan, China. 4. Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, Sichuan, China. 5. Department of Oncology, West China Hospital of Sichuan University, Chengdu, Sichuan, China. 6. Magnetic Resonance and Image Analysis Research Centre and Institute of Ageing and Chronic Disease, University of Liverpool, United Kingdom. 7. Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China; Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, Sichuan, China; Department of Psychology, School of Public Administration, Sichuan University, Chengdu, Sichuan, China.
Abstract
BACKGROUND: In healthy subjects, there is an association between amplitude of low-frequency fluctuations (ALFF) and regional cerebral blood flow (rCBF). To date, no published meta-analysis has investigated changes in the regional ALFF in medication-free depressed patients. METHODS: In this study, we aimed to explore whether resting-state rCBF and ALFF changes co-occur in the depressed brain without the potential confound of medication. Using signed differential mapping (SDM), we conducted two meta-analyses, one of rCBF studies and one of ALFF studies, involving medication-free patients with major depressive disorder (MDD). In addition, we conducted a multimodal meta-analysis to identify brain regions that showed abnormalities in both rCBF and ALFF. RESULTS: A total of 16 studies were included in this series. We identified abnormalities in resting-state rCBF and ALFF in the left insula in medication-free MDD patients compared with healthy controls (HC). In addition, we observed altered resting-state rCBF in the limbic-subcortical-cortical circuit and altered ALFF in the default mode network (DMN) and some motor-related brain regions. LIMITATIONS: The analysis techniques, patient characteristics and clinical variables of the included studies were heterogeneous. CONCLUSIONS: The conjoint alterations in ALFF and rCBF in the left insula may represent core neuropathological changes in medication-free patients with MDD and merit further studying.
BACKGROUND: In healthy subjects, there is an association between amplitude of low-frequency fluctuations (ALFF) and regional cerebral blood flow (rCBF). To date, no published meta-analysis has investigated changes in the regional ALFF in medication-free depressedpatients. METHODS: In this study, we aimed to explore whether resting-state rCBF and ALFF changes co-occur in the depressed brain without the potential confound of medication. Using signed differential mapping (SDM), we conducted two meta-analyses, one of rCBF studies and one of ALFF studies, involving medication-free patients with major depressive disorder (MDD). In addition, we conducted a multimodal meta-analysis to identify brain regions that showed abnormalities in both rCBF and ALFF. RESULTS: A total of 16 studies were included in this series. We identified abnormalities in resting-state rCBF and ALFF in the left insula in medication-free MDDpatients compared with healthy controls (HC). In addition, we observed altered resting-state rCBF in the limbic-subcortical-cortical circuit and altered ALFF in the default mode network (DMN) and some motor-related brain regions. LIMITATIONS: The analysis techniques, patient characteristics and clinical variables of the included studies were heterogeneous. CONCLUSIONS: The conjoint alterations in ALFF and rCBF in the left insula may represent core neuropathological changes in medication-free patients with MDD and merit further studying.
Authors: Hai Rong Ma; Li Qin Sheng; Ping Lei Pan; Gen Di Wang; Rong Luo; Hai Cun Shi; Zhen Yu Dai; Jian Guo Zhong Journal: Transl Neurodegener Date: 2018-04-23 Impact factor: 8.014
Authors: Hai Rong Ma; Ping Lei Pan; Li Qin Sheng; Zhen Yu Dai; Gen Di Wang; Rong Luo; Jia Hui Chen; Pei Rong Xiao; Jian Guo Zhong; Hai Cun Shi Journal: Oncotarget Date: 2017-10-04
Authors: Dan Zhen; Wei Xia; Zhong Quan Yi; Pan Wen Zhao; Jian Guo Zhong; Hai Cun Shi; Hua Liang Li; Zhen Yu Dai; Ping Lei Pan Journal: Transl Neurodegener Date: 2018-11-07 Impact factor: 8.014