Literature DB >> 35608748

The Location Reliability of the Resting-State fMRI FC of Emotional Regions Towards rTMS Therapy.

Na Zhao1,2,3,4,5, Juan Yue1,2,3, Zi-Jian Feng1,2,3, Yang Qiao1,2,3,5,6, Qiu Ge1,2,3, Li-Xia Yuan1,2,3, Jue Wang7, Yu-Tao Xiang8,9,10, Yu-Feng Zang11,12,13.   

Abstract

Resting-state magnetic resonance imaging (RS-fMRI) studies indicated that the repetitive transcranial magnetic stimulation (rTMS) exerts antidepression effect through the functional connectivity (FC) of the DLPFC with the subgenual anterior cingulate cortex (sgACC), pregneual ACC (pgACC), or nucleus accumbens (NAc). It is proposed that the FC-guided individualized precise stimulation on the DLPFC would be more effective. The current study systematically investigated the reliability of the RS-fMRI FC location as well as the FC strength with multiple potential factors. We aimed to provide a stable stimulation target for future FC-guided TMS therapy for affective related disorders. Twenty-one subjects under RS-fMRI conditions with the first two times (V1, V2) scanned on a GE 3 T scanner and the third visit (V3) on a Siemens 3 T scanner. Then the FC strength and location reliability were assessed by using intra-class correlation (ICC) and intra-individual distance, respectively. The factors included deep seed ROIs (midline (mid-) sgACC, left pgACC, mid-pgACC, and left NAc), eyes closed (EC) vs eyes open (EO), frequency bands, FC algorithm (Pearson vs Spearman), scanning length (half a session vs whole session), and location method (FC peak vs center of gravity (COG)). The reliability of the voxel-wise FC strength was low to moderate. The intra-individual distances of the COG were 3.8-7.3 mm across all factors, much smaller than that of FC peak (approximately 30 mm). The COG of seed-based FC might be a potential rTMS stimulation target. Anyway, all potential stimulation targets should be tested in future rTMS treatment studies.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Functional connectivity; Major depression disorder; Reliability; rTMS

Year:  2022        PMID: 35608748     DOI: 10.1007/s12021-022-09585-4

Source DB:  PubMed          Journal:  Neuroinformatics        ISSN: 1539-2791


  3 in total

Review 1.  Prediction on treatment improvement in depression with resting state connectivity: A coordinate-based meta-analysis.

Authors:  Zhiliang Long; Lian Du; Jia Zhao; Shiyang Wu; Qiaoqiao Zheng; Xu Lei
Journal:  J Affect Disord       Date:  2020-07-14       Impact factor: 4.839

2.  Intra- and Inter-scanner Reliability of Scaled Subprofile Model of Principal Component Analysis on ALFF in Resting-State fMRI Under Eyes Open and Closed Conditions.

Authors:  Li-Xia Yuan; Jian-Bao Wang; Na Zhao; Yuan-Yuan Li; Yilong Ma; Dong-Qiang Liu; Hong-Jian He; Jian-Hui Zhong; Yu-Feng Zang
Journal:  Front Neurosci       Date:  2018-05-25       Impact factor: 4.677

3.  Intra- and Inter-Scanner Reliability of Voxel-Wise Whole-Brain Analytic Metrics for Resting State fMRI.

Authors:  Na Zhao; Li-Xia Yuan; Xi-Ze Jia; Xu-Feng Zhou; Xin-Ping Deng; Hong-Jian He; Jianhui Zhong; Jue Wang; Yu-Feng Zang
Journal:  Front Neuroinform       Date:  2018-08-21       Impact factor: 4.081

  3 in total

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