Evidence map›Paper›PMID 36188452›Full record

ArticleFrontiers in neuroscience2022

The functional connectivity of the middle frontal cortex predicts ketamine's outcome in major depressive disorder.

Fan Zhang, Chengyu Wang, Xiaofeng Lan, Weicheng Li, Ling Fu, Yanxiang Ye, Haiyan Liu, Kai Wu, Yanling Zhou, Yuping Ning

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Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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10 authors.

Fan ZhangThe First School of Clinical Medicine, Southern Medical University, Guangzhou, China.
Chengyu WangThe Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
Xiaofeng LanThe Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
Weicheng LiThe First School of Clinical Medicine, Southern Medical University, Guangzhou, China.
Ling FuThe First School of Clinical Medicine, Southern Medical University, Guangzhou, China.
Yanxiang YeThe Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
Haiyan LiuThe Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
Kai WuSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzho, China.
Yanling ZhouThe Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
Yuping NingThe First School of Clinical Medicine, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ketamine, a robust antidepressant, has promising potential in the treatment of major depressive disorder (MDD). However, it does not work for all MDD patients, and the mechanism underlying its anti-depressive effects is unclear. Researchers have explored the mechanisms of ketamine action in MDD patients through MRI, a technique that measures brain activity intuitively. Notably, many MRI results were inconsistent because they selected different brain regions as seeds, particularly with respect to functional connectivity (FC) analysis. To eliminate the influence of prior seeds as much as possible, we used the significantly different results in degree centrality (DC) analysis as seeds to explore the FC changes in MDD patients to identify an imaging biomarker of ketamine's effect. Methods: Forty-four MDD patients and 45 healthy controls (HCs) were included in the study. Patients, aged 18-65, received six intravenous ketamine injections over 12 days. Depressive symptoms were estimated and MRI scans were performed at baseline and the day after the sixth infusion. We estimated FC differences between responders, non-responders and HCs using the region that showed significant differences between responders and non-responders in DC analysis as the seed. The correlation between the MADRS changes and zFC values was performed, and the potential of zFC values to be a neuroimaging biomarker was explored using the receiver operating characteristic curve. Result: Compared with non-responders, responders had significantly decreased DC values in the right middle frontal gyrus (MFG). In the analysis of FC using the region that showed significant differences in DC as a seed, there was a significant difference in the region of the right supplementary motor area (SMA) among responders, non-responders, and HCs. This region also overlapped with the bilateral median cingulate gyrus. In Conclusion: Our results revealed that FC between the SMG and SMA and mACC was highly correlated with depressive symptoms and has the potential to be a neuroimaging biomarker to predict the effect of ketamine in MDD.

Indexed as

biomarkerdefault mode networkdegree centrality (DC)functional connectivityketaminemajor depressive disorder

Identifiers

PMID36188452
PMCPMC9521309

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.