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. 2025 Aug 30;70(16):2676-2690.
doi: 10.1016/j.scib.2025.05.042. Epub 2025 Jun 4.

Subgenual anterior cingulate cortex functional connectivity abnormalities in depression: insights from brain imaging big data and precision-guided personalized intervention via transcranial magnetic stimulation

Xiao Chen  1 Bin Lu  2 Yu-Wei Wang  1 Xue-Ying Li  1 Zi-Han Wang  1 Hui-Xian Li  3 Yi-Fan Liao  1 Daniel M Blumberger  4 Francisco Xavier Castellanos  5 Eduardo A Garza-Villarreal  6 Li-Ping Cao  7 Guan-Mao Chen  8 Jian-Shan Chen  7 Tao Chen  9 Tao-Lin Chen  10 Yan-Rong Chen  11 Yu-Qi Cheng  12 Zhao-Song Chu  12 Shi-Xian Cui  13 Xi-Long Cui  14 Zhao-Yu Deng  1 Qing-Lin Gao  1 Qi-Yong Gong  10 Wen-Bin Guo  14 Can-Can He  15 Zheng-Jia-Yi Hu  13 Qian Huang  16 Xin-Lei Ji  14 Feng-Nan Jia  17 Li Kuang  16 Bao-Juan Li  18 Feng Li  19 Tao Li  20 Xue Li  1 Tao Lian  1 Xiao-Yun Liu  21 Yan-Song Liu  17 Zhe-Ning Liu  14 Yi-Cheng Long  14 Jian-Ping Lu  22 Jiang Qiu  23 Xiao-Xiao Shan  14 Tian-Mei Si  24 Peng-Feng Sun  25 Chuan-Yue Wang  19 Han-Lin Wang  13 Xiang Wang  14 Ying Wang  8 Chen-Nan Wu  1 Xiao-Ping Wu  25 Xin-Ran Wu  23 Yan-Kun Wu  24 Chun-Ming Xie  15 Guang-Rong Xie  14 Peng Xie  26 Xiu-Feng Xu  12 Zhen-Peng Xue  22 Hong Yang  9 Jian Yang  27 Hua Yu  20 Yong-Qiang Yu  28 Min-Lan Yuan  29 Yong-Gui Yuan  21 Yu-Feng Zang  30 Ai-Xia Zhang  31 Ke-Rang Zhang  31 Wei Zhang  29 Zi-Jing Zhang  1 Jing-Ping Zhao  14 Jia-Jia Zhu  28 Xi-Nian Zuo  32 DIRECT ConsortiumHua-Ning Wang  18 Chao-Gan Yan  33
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Free article

Subgenual anterior cingulate cortex functional connectivity abnormalities in depression: insights from brain imaging big data and precision-guided personalized intervention via transcranial magnetic stimulation

Xiao Chen et al. Sci Bull (Beijing). .
Free article

Abstract

The subgenual anterior cingulate cortex (sgACC) plays a central role in the pathophysiology of major depressive disorder (MDD). Its functional interactive profile with the left dorsal lateral prefrontal cortex (DLPFC) is associated with transcranial magnetic stimulation (TMS) treatment outcomes. Previous research on sgACC functional connectivity (FC) in MDD has yielded inconsistent results, partly due to small sample sizes and limited statistical power. Furthermore, calculating sgACC-FC to target TMS individually is challenging. We used a large multi-site cross-sectional sample (1660 patients with MDD vs. 1341 healthy controls) from Phase II of the Depression Imaging REsearch ConsorTium (DIRECT) to systematically delineate case-control difference maps of sgACC-FC. We explored the potential impact of group-level abnormality profiles on TMS target localization and clinical efficacy. Next, we developed an MDD big data-guided, individualized TMS targeting algorithm to integrate group-level statistical maps with individual-level brain activity to individually localize TMS targets. We found enhanced sgACC-DLPFC FC in patients with MDD compared with healthy controls (HC). These group differences altered the position of the sgACC anti-correlation peak in the left DLPFC. We showed that the magnitude of case-control differences in the sgACC-FC was related to clinical improvement in two independent clinical samples. This targeting algorithm may generate targets demonstrating stronger associations with clinical efficiency than group-level targets. We reliably delineated MDD-related abnormalities of sgACC-FC profiles in a large, independently ascertained sample and demonstrated the potential impact of such case-control differences on FC-guided localization of TMS targets.

Keywords: Dual regression; Functional connectivity; Individualization; Major depressive disorder; Subgenual anterior cingulate cortex; Transcranial magnetic stimulation.

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