4.6 Article

Abnormal Default Mode Network Homogeneity in Treatment-Naive Patients With First-Episode Depression

Journal

FRONTIERS IN PSYCHIATRY
Volume 9, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fpsyt.2018.00697

Keywords

depression; default mode network; network homogeneity; attentional network test; rest-fMRI

Categories

Funding

  1. Natural Science Foundation of China [81560223]

Ask authors/readers for more resources

Background and Objective: The default mode network (DMN) may be an important component involved in the broad-scale cognitive problems seen in patients with first-episode treatment-naive depression. Nevertheless, information is scarce regarding the changes in network homogeneity (NH) found in the DMN of these patients. Therefore, in this study, we explored the NH of the DMN in patients with first-episode treatment-naive depression. Methods: The study included 66 patients and 74 control participants matched by age, gender, educational level and health status who underwent resting-state functional magnetic resonance imaging (rs-fMRI) and the attentional network test (ANT). To assess data, the study utilizes NH and independent component analysis (ICA). Additionally, Spearman's rank correlation analysis is performed among significantly abnormal NH in depression patients and clinical measurements and executive control reaction time (ECRT). Results: In comparison with the control group, patients with first-episode treatment-naive depression showed lower NH in the bilateral angular gyrus (AG), as well as increased NH in the bilateral precuneus (PCu) and posterior cingulate cortex (PCC). Likewise, patients with first-episode treatment-naive depression had longer ECRT. No significant relation was found between abnormal NH values and the measured clinical variables. Conclusions: Our results suggest patients with first-episode treatment-naive depression have abnormal NH values in the DMN. This highlights the significance of DMN in the pathophysiology of cognitive problems in depression. Our study also found alterations in executive functions in patients with first-episode treatment-naive depression.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Neurosciences

Abnormal Degree Centrality as a Potential Imaging Biomarker for Right Temporal Lobe Epilepsy: A Resting-state Functional Magnetic Resonance Imaging Study and Support Vector Machine Analysis

Yujun Gao, Zhenying Xiong, Xi Wang, Hongwei Ren, Ruoshi Liu, Bing Bai, Liming Zhang, Dongbin Li

Summary: This study found abnormal functional connectivity in patients with right temporal lobe epilepsy (rTLE), and the analysis of these abnormalities can be used for the diagnosis of the disease.

NEUROSCIENCE (2022)

Article Psychiatry

Abnormal Ventral Somatomotor Network Homogeneity in Patients With Temporal Lobe Epilepsy

Dongbin Li, Ruoshi Liu, Lili Meng, Pingan Xiong, Hongwei Ren, Liming Zhang, Yujun Gao

Summary: This study found altered network homogeneity in the ventral somatomotor network in patients with temporal lobe epilepsy, which may be associated with the pathophysiology of the condition.

FRONTIERS IN PSYCHIATRY (2022)

Article Geriatrics & Gerontology

Abnormal regional homogeneity in right caudate as a potential neuroimaging biomarker for mild cognitive impairment: A resting-state fMRI study and support vector machine analysis

Yujun Gao, Xinfu Zhao, JiChao Huang, Sanwang Wang, Xuan Chen, Mingzhe Li, Fengjiao Sun, Gaohua Wang, Yi Zhong

Summary: The aim of this study was to explore neuroimaging biomarkers for predicting mild cognitive impairment (MCI) using support vector machine (SVM) classification. Resting-state functional magnetic resonance imaging (rs-fMRI) was performed on 53 MCI patients and 68 healthy controls. The results showed decreased regional homogeneity (ReHo) in the right caudate of MCI patients compared to healthy controls. SVM classification achieved an overall accuracy of 68.6%, sensitivity of 62.26%, and specificity of 58.82%.

FRONTIERS IN AGING NEUROSCIENCE (2022)

Article Psychiatry

Decreased resting-state neural signal in the left angular gyrus as a potential neuroimaging biomarker of schizophrenia: An amplitude of low-frequency fluctuation and support vector machine analysis

Yujun Gao, Xin Tong, Jianxiu Hu, Hanjun Huang, Tian Guo, Gang Wang, Yi Li, Gaohua Wang

Summary: This study found that patients with schizophrenia show reduced ALFF values in specific brain regions compared to healthy controls. The support vector machine (SVM) analysis identified that reductions in ALFF values in the bilateral precuneus (PCu) can effectively differentiate between schizophrenia patients and healthy controls.

FRONTIERS IN PSYCHIATRY (2022)

Article Psychiatry

Abnormal degree centrality values as a potential imaging biomarker for major depressive disorder: A resting-state functional magnetic resonance imaging study and support vector machine analysis

Hang Lin, Xi Xiang, Junli Huang, Shihong Xiong, Hongwei Ren, Yujun Gao

Summary: This study revealed abnormal degree centrality (DC) in patients with major depressive disorder (MDD) using resting-state functional magnetic resonance imaging (rs-fMRI). The researchers identified the left anterior cerebellar lobe and right caudate as potential imaging biomarkers for the diagnosis of MDD.

FRONTIERS IN PSYCHIATRY (2022)

Article Psychiatry

Abnormal degree centrality in first-episode medication-free adolescent depression at rest: A functional magnetic resonance imaging study and support vector machine analysis

Xin Guo, Wei Wang, Lijun Kang, Chang Shu, Hanpin Bai, Ning Tu, Lihong Bu, Yujun Gao, Gaohua Wang, Zhongchun Liu

Summary: This study investigates the relationship between adolescent depression and whole-brain network centrality abnormalities, and finds that changes in brain voxel-level functional connectivity may be a potential biomarker for adolescent depression.

FRONTIERS IN PSYCHIATRY (2022)

Article Clinical Neurology

Decreased degree centrality values as a potential neuroimaging biomarker for migraine: A resting-state functional magnetic resonance imaging study and support vector machine analysis

Qian Wang, Yujun Gao, Yuandong Zhang, Xi Wang, Xuying Li, Hang Lin, Ling Xiong, Chunyan Huang

Summary: This study used functional magnetic resonance imaging (fMRI) technology combined with a support vector machine (SVM) to study the imaging pathological mechanism of migraines, aiming to improve the diagnostic accuracy. The findings showed that the DC values of bilateral inferior temporal gyrus (ITG) were significantly lower in migraine patients compared to healthy controls, and the DC value of the left ITG had the highest diagnostic accuracy, sensitivity, and specificity for migraine patients.

FRONTIERS IN NEUROLOGY (2023)

Article Psychiatry

Co-prescription of aripiprazole on prolactin levels in long-term hospitalized chronic schizophrenic patients with co-morbid type 2 diabetes: A retrospective clinical study

Xuebing Liu, Xianzhi Sun, Lu Li, Kuan Zeng, Yi Li, Yujun Gao, Jun Ma

Summary: This study found that compared with the group without co-prescribed aripiprazole, the group with co-prescribed aripiprazole had significantly higher levels of fasting blood glucose, blood uric acid, total cholesterol, triglyceride, and low-density lipoprotein cholesterol in long-term hospitalized chronic schizophrenia patients with co-morbid type 2 diabetes. However, there was no difference in prolactin levels. Co-prescribing aripiprazole had no impact on prolactin levels in patients with co-morbid type 2 diabetes.

FRONTIERS IN PSYCHIATRY (2023)

Editorial Material Psychiatry

Editorial: Temporal lobe dysfunction in neuropsychiatric disorder

Yujun Gao, Qinji Su, Liang Liang, Haohao Yan, Fengyu Zhang

FRONTIERS IN PSYCHIATRY (2022)

Article Psychiatry

The neural correlation of emotion recognition ability and depressive symptoms-evidence from the HCP database

Ze Yuan, Xiao Lin, Peng Li, Yu-Jun Gao, Kai Yuan, Wei Yan, Yu-Xin Zhang, Lin Liu, Xi-Mei Zhu, Yi-Jing Zhang, Yan-Ping Bao, Su-Hua Chang, Lin Lu, Le Shi

Summary: This study examines the neural association between depressive symptoms and negative emotional bias. A negative correlation between depressive symptoms and emotional recognition was found. The structure and function of the inferior and lateral orbitofrontal gyrus were found to be related to depressive symptoms and emotional recognition. The core brain regions centered on the inferior orbitofrontal cortex are potential neuroimaging basis for the interaction between depressive symptoms and emotional recognition.

FRONTIERS IN PSYCHIATRY (2023)

Letter Psychiatry

The Artificial intelligence large language models and neuropsychiatry practice and research ethic

Yi Zhong, Yu-jun Chen, Yang Zhou, Yan-Ao-Hai Lyu, Jia-Jun Yin, Yu-jun Gao

ASIAN JOURNAL OF PSYCHIATRY (2023)

Article Psychiatry

Addressing psychosomatic issues after lifting the COVID-19 policy in China: A wake-up call

Yi Zhong, Jichao Huang, Wen Zhang, Shuiqing Li, Yujun Gao

Summary: As of 11 Jan 2023, the Coronavirus has infected up to 900 million people in China Mainland, which is more than 60% of the population. The pandemic's sudden and unprecedented nature has led to various psycho-somatic issues among the population. Addressing these issues is crucial as they can have severe consequences for individuals' mental and physical health. The lifting of lockdown measures in China creates an opportunity to provide support and assistance to those who have been affected.

ASIAN JOURNAL OF PSYCHIATRY (2023)

Article Clinical Neurology

Decreased dorsal attention network homogeneity as a potential neuroimaging biomarker for major depressive disorder

Yujun Gao, Xin Guo, Yi Zhong, Xiaoxin Liu, Shanshan Tian, Jiahui Deng, Xiao Lin, Yanpin Bao, Lin Lu, Gaohua Wang

Summary: This study aimed to explore the changes in brain network homogeneity (NH) in patients with major depressive disorder (MDD) and determine the role of this parameter in differentiating between MDD patients and healthy controls. The results showed reduced NH in the left supramarginal gyrus (SMG) in MDD patients compared to healthy controls. Support vector machine analysis revealed that the NH of the left SMG could effectively differentiate between MDD patients and healthy controls with high accuracy, specificity, and sensitivity. These findings suggest that NH changes in the dorsal attention network may serve as a neuroimaging biomarker for distinguishing MDD patients from healthy individuals.

JOURNAL OF AFFECTIVE DISORDERS (2023)

Article Pharmacology & Pharmacy

Abnormalities of the default-mode network homogeneity and executive dysfunction in people with first-episode, treatment-naive left temporal lobe epilepsy

Y. J. Gao, X. Wang, P-G Xiong, H-W Ren, S-Y Zhou, Y-G Yan, Z-B Zhou, W. Tan, J. Wu

Summary: The study found abnormal network homogeneity in the DMN of patients with initial untreated ITLE, including decreased NH in the right ITG and left MTG, and increased NH in the bilateral PCu and right IPL. Patients with ITLE also exhibited longer executive control reaction times.

EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES (2021)

Article Pharmacology & Pharmacy

Abnormal ventral attention network homogeneity in patients with right temporal lobe epilepsy

D-B Li, R-S Liu, X. Wang, P-A Xiong, H-W Ren, Y-F Wei, L-M Zhang, Y-J Gao

Summary: In this study, it was found that patients with right temporal lobe epilepsy have lower network homogeneity in the VAN and longer executive control reaction time compared to healthy controls. However, abnormal NH values were not significantly associated with clinical measurements.

EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES (2021)

No Data Available