Reference Citation Analysis: Find an Article, Find a Category, Find a Journal, Find a Scholar

For: Zheng A, Yu R, Du W, Liu H, Zhang Z, Xu Z, Xiang Y, Du L. Two-week rTMS-induced neuroimaging changes measured with fMRI in depression. J Affect Disord 2020;270:15-21. [PMID: 32275215 DOI: 10.1016/j.jad.2020.03.038] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 12/30/2019] [Accepted: 03/20/2020] [Indexed: 12/23/2022]

For:	Zheng A, Yu R, Du W, Liu H, Zhang Z, Xu Z, Xiang Y, Du L. Two-week rTMS-induced neuroimaging changes measured with fMRI in depression. J Affect Disord 2020;270:15-21. [PMID: 32275215 DOI: 10.1016/j.jad.2020.03.038] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 12/30/2019] [Accepted: 03/20/2020] [Indexed: 12/23/2022]

Number

Cited by Other Article(s)

Huang S, Hao S, Si Y, Shen D, Cui L, Zhang Y, Lin H, Wang S, Gao Y, Guo X. Intelligent classification of major depressive disorder using rs-fMRI of the posterior cingulate cortex. J Affect Disord 2024;358:399-407. [PMID: 38599253 DOI: 10.1016/j.jad.2024.03.166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 02/16/2024] [Accepted: 03/28/2024] [Indexed: 04/12/2024]

Abstract

Major Depressive Disorder (MDD) is a widespread psychiatric condition that affects a significant portion of the global population. The classification and diagnosis of MDD is crucial for effective treatment. Traditional methods, based on clinical assessment, are subjective and rely on healthcare professionals' expertise. Recently, there's growing interest in using Resting-State Functional Magnetic Resonance Imaging (rs-fMRI) to objectively understand MDD's neurobiology, complementing traditional diagnostics. The posterior cingulate cortex (PCC) is a pivotal brain region implicated in MDD which could be used to identify MDD from healthy controls. Thus, this study presents an intelligent approach based on rs-fMRI data to enhance the classification of MDD. Original rs-fMRI data were collected from a cohort of 430 participants, comprising 197 patients and 233 healthy controls. Subsequently, the data underwent preprocessing using DPARSF, and the amplitudes of low-frequency fluctuation values were computed to reduce data dimensionality and feature count. Then data associated with the PCC were extracted. After eliminating redundant features, various types of Support Vector Machines (SVMs) were employed as classifiers for intelligent categorization. Ultimately, we compared the performance of each algorithm, along with its respective optimal classifier, based on classification accuracy, true positive rate, and the area under the receiver operating characteristic curve (AUC-ROC). Upon analyzing the comparison results, we determined that the Random Forest (RF) algorithm, in conjunction with a sophisticated Gaussian SVM classifier, demonstrated the highest performance. Remarkably, this combination achieved a classification accuracy of 81.9 % and a true positive rate of 92.9 %. In conclusion, our study improves the classification of MDD by supplementing traditional methods with rs-fMRI and machine learning techniques, offering deeper neurobiological insights and aiding accuracy, while emphasizing its role as an adjunct to clinical assessment.

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Briley PM, Webster L, Boutry C, Oh H, Auer DP, Liddle PF, Morriss R. Magnetic resonance imaging connectivity features associated with response to transcranial magnetic stimulation in major depressive disorder. Psychiatry Res Neuroimaging 2024;342:111846. [PMID: 38908353 DOI: 10.1016/j.pscychresns.2024.111846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 03/23/2024] [Accepted: 06/11/2024] [Indexed: 06/24/2024]

Affiliation(s)

P M Briley Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom; Nottingham National Institute for Health and Care Research (NIHR) Biomedical Research Centre, Nottingham, United Kingdom; Institute of Mental Health, Nottinghamshire Healthcare NHS Foundation Trust, Nottingham, United Kingdom.
L Webster Nottingham National Institute for Health and Care Research (NIHR) Biomedical Research Centre, Nottingham, United Kingdom; Institute of Mental Health, Nottinghamshire Healthcare NHS Foundation Trust, Nottingham, United Kingdom
C Boutry Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom; Institute of Mental Health, Nottinghamshire Healthcare NHS Foundation Trust, Nottingham, United Kingdom; NIHR Applied Research Collaboration East Midlands, University of Nottingham, Nottingham, United Kingdom
H Oh Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom; Nottingham National Institute for Health and Care Research (NIHR) Biomedical Research Centre, Nottingham, United Kingdom; Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom
D P Auer Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom; Nottingham National Institute for Health and Care Research (NIHR) Biomedical Research Centre, Nottingham, United Kingdom; Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom
P F Liddle Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom; Institute of Mental Health, Nottinghamshire Healthcare NHS Foundation Trust, Nottingham, United Kingdom
R Morriss Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom; Nottingham National Institute for Health and Care Research (NIHR) Biomedical Research Centre, Nottingham, United Kingdom; Institute of Mental Health, Nottinghamshire Healthcare NHS Foundation Trust, Nottingham, United Kingdom; NIHR Applied Research Collaboration East Midlands, University of Nottingham, Nottingham, United Kingdom; NIHR Mental Health (MindTech) Health Technology Collaboration, University of Nottingham, Nottingham, United Kingdom

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Du L, Roy S, Wang P, Li Z, Qiu X, Zhang Y, Yuan J, Guo B. Unveiling the future: Advancements in MRI imaging for neurodegenerative disorders. Ageing Res Rev 2024;95:102230. [PMID: 38364912 DOI: 10.1016/j.arr.2024.102230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 02/11/2024] [Accepted: 02/11/2024] [Indexed: 02/18/2024]

Joshi H, Sinha P, Bowers D, John JP. Dose response of transcranial near infrared light stimulation on brain functional connectivity and cognition in older adults-A randomized comparison. JOURNAL OF BIOPHOTONICS 2024;17:e202300215. [PMID: 37776079 DOI: 10.1002/jbio.202300215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 09/16/2023] [Accepted: 09/27/2023] [Indexed: 10/01/2023]

Lu F, Cui Q, Zou Y, Guo Y, Luo W, Yu Y, Gao J, Cai X, Fu L, Yuan S, Huang J, Zhang Y, Xie J, Sheng W, Tang Q, Gao Q, He Z, Chen H. Effects of rTMS Intervention on Functional Neuroimaging Activities in Adolescents with Major Depressive Disorder Measured Using Resting-State fMRI. Bioengineering (Basel) 2023;10:1374. [PMID: 38135965 PMCID: PMC10740826 DOI: 10.3390/bioengineering10121374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 11/10/2023] [Accepted: 11/22/2023] [Indexed: 12/24/2023] Open

Abstract

Repetitive transcranial magnetic stimulation (rTMS) to the left dorsolateral prefrontal cortex (L-DLPFC) is commonly used for the clinical treatment of major depressive disorder (MDD). The neuroimaging biomarkers and mechanisms of rTMS are still not completely understood. This study aimed to explore the functional neuroimaging changes induced by rTMS in adolescents with MDD. A total of ten sessions of rTMS were administrated to the L-DLPFC in thirteen adolescents with MDD once a day for two weeks. All of them were scanned using resting-state functional magnetic resonance imaging at baseline and after rTMS treatment. The regional homogeneity (ReHo), amplitude of low-frequency fluctuation (ALFF), and the subgenual anterior cingulate cortex (sgACC)-based functional connectivity (FC) were computed as neuroimaging indicators. The correlation between changes in the sgACC-based FC and the improvement in depressive symptoms was also analyzed. After rTMS treatment, ReHo and ALFF were significantly increased in the L-DLPFC, the left medial prefrontal cortex, bilateral medial orbital frontal cortex, and the left ACC. ReHo and ALFF decreased mainly in the left middle occipital gyrus, the right middle cingulate cortex (MCC), bilateral calcarine, the left cuneus, and the left superior occipital gyrus. Furthermore, the FCs between the left sgACC and the L-DLPFC, the right IFGoper, the left MCC, the left precuneus, bilateral post-central gyrus, the left supplementary motor area, and the left superior marginal gyrus were enhanced after rTMS treatment. Moreover, the changes in the left sgACC-left MCC FC were associated with an improvement in depressive symptoms in early improvers. This study showed that rTMS treatment in adolescents with MDD causes changes in brain activities and sgACC-based FC, which may provide basic neural biomarkers for rTMS clinical trials.

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Affiliation(s)

Fengmei Lu The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
Qian Cui School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu 611731, China
Yang Zou The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
Yuanhong Guo The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
Wei Luo The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
Yue Yu The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
Jingjing Gao School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;
Xiao Cai The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
Linna Fu The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
Shuai Yuan The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
Juan Huang The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
Yajun Zhang The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
Jing Xie The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
Wei Sheng The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
Qin Tang The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
Qing Gao School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China
Zongling He The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
Huafu Chen The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.) MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, China High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu 611731, China

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Yuan X, Zhu Y, Xiao L, Chuan Liu Z, Zou J, Hu Z, Wu Y, Li P, Hu M, Zhou F. Regional homogeneity in patients with obsessive-compulsive disorder and depression: A resting state functional magnetic resonance imaging study. Neurosci Lett 2023;817:137528. [PMID: 37865188 DOI: 10.1016/j.neulet.2023.137528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 09/20/2023] [Accepted: 10/16/2023] [Indexed: 10/23/2023]

Abstract

OBJECTIVE

To explore the brain functional impairment of patients with obsessive-compulsive disorder (OCD) with and without depressive symptoms and analyze the correlation between the degree of impairment and the severity of symptoms.

METHOD

Fourteen patients with OCD who met the ICD-10 diagnostic criteria for OCD were included. The group having OCD with depression (OCDd) consisted of 15 patients, and 17 healthy controls (HC) matched for age and education were also included. The Yale-Brown OCD Scale (Y-BOCS) and the 24-item Hamilton Assessment of Depression Scale (HAMD) were administered to the OCD and OCDd groups. Resting-state functional brain magnetic resonance imaging was performed in the three groups of participants.

RESULT

The OCDd group had lower scores on the HAMD, Y-BOCS, and obsessive-compulsive thinking subscales compared with the OCD group (P < 0.05). The scores on the OCDd subscale were negatively correlated with the HAMD scores (R = - 0.568, P = 0.027). The OCDd group had higher regional homogeneity (ReHo) values in the lingual gyrus than the OCD group. The OCDd group had higher ReHo values in the lingual gyrus than the HC group, and the OCDd group had higher ReHo values than the HC group. These differences were statistically significant (P < 0.05). After correction for multiple comparisons, significant difference was observed between the OCDd and HC groups (P＜0.05). In the OCD group, the ReHo value of the lingual gyrus was negatively correlated with the Y-BOCS total score and the compulsive behavior subscale score (R = - 0.609, -0.552; P = 0.016, 0.033).

CONCLUSION

Abnormal ReHo values in the lingual gyrus and right medial superior frontal gyrus were found in the patients with OCDd. In the OCDd group, the ReHo values of the lingual gyrus were negatively correlated with the scores on the Y-BOCS total and obsessive-compulsive subscales, suggesting that abnormal local coherence of the lingual gyrus may be related to the severity of OCD.

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Zhou J, Duan J, Liu X, Wang Y, Zheng J, Tang L, Zhao P, Zhang X, Zhu R, Wang F. Functional network characteristics in adolescent psychotic mood disorder: associations with symptom severity and treatment effects. Eur Child Adolesc Psychiatry 2023:10.1007/s00787-023-02314-5. [PMID: 37934311 DOI: 10.1007/s00787-023-02314-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 10/02/2023] [Indexed: 11/08/2023]

Affiliation(s)

Jingshuai Zhou Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Street, Nanjing, 210096, Jiangsu, People's Republic of China Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, People's Republic of China
Jia Duan Department of Mental Health, School of Public Health, Nanjing Medical University, Nanjing, China
Xiaoxue Liu Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Street, Nanjing, 210096, Jiangsu, People's Republic of China
Yang Wang Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Street, Nanjing, 210096, Jiangsu, People's Republic of China Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, People's Republic of China
Junjie Zheng Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Street, Nanjing, 210096, Jiangsu, People's Republic of China Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, People's Republic of China
Lili Tang Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Street, Nanjing, 210096, Jiangsu, People's Republic of China Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, People's Republic of China
Pengfei Zhao Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Street, Nanjing, 210096, Jiangsu, People's Republic of China Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, People's Republic of China
Xizhe Zhang School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu, China
Rongxin Zhu Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Street, Nanjing, 210096, Jiangsu, People's Republic of China.
Fei Wang Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Street, Nanjing, 210096, Jiangsu, People's Republic of China. Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, People's Republic of China. Department of Mental Health, School of Public Health, Nanjing Medical University, Nanjing, China.

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Ma Y, He J, Lu X, Sun J, Guo C, Luo Y, Gao S, Liu Y, Zhang Z, Rong P, Fang J. Transcutaneous electrical cranial-auricular acupoint stimulation versus escitalopram for modulating the brain activity in mild to moderate major depressive disorder: An fMRI study. Neurosci Lett 2023;814:137414. [PMID: 37544579 DOI: 10.1016/j.neulet.2023.137414] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 07/27/2023] [Accepted: 08/01/2023] [Indexed: 08/08/2023]

Abstract

Transcutaneous electrical cranial-auricular acupoint stimulation (TECAS) is an innovative, non-invasive therapy for major depressive disorder (MDD). However, its effectiveness and underlying neural mechanisms remain not fully understood. This study aimed to investigate the treatment response and neurological effects of TECAS compared to escitalopram, a commonly used depression medication, using resting-state functional magnetic resonance imaging (rs-fMRI). Fifty-one patients with mild-to-moderate MDD (34 in the TECAS group and 17 in the Escitalopram group) and 51 healthy controls (HCs) participated in the study. We employed the low-frequency fluctuations (ALFF) and regional homogeneity (ReHo) methods to explore brain abnormalities in MDD patients and HCs. Additionally, seed-based functional connectivity (FC) analysis was conducted to examine altered brain networks before and after treatment.Compared to the HCs group, the MDD group exhibited lower ReHo and ALFF values in the right medial superior frontal gyrus (mSFG_R), indicating altered neural activity in this region. Furthermore, mSFG-based FC analysis revealed abnormal FC values in the right inferior occipital gyrus (IOG_R) and middle temporal gyrus (MTG) between after and before treatment in MDD patients. Interestingly, TECAS treatment was found to normalize these abnormal FC brain regions, suggesting its potential role in restoring neural connectivity in MDD patients. Notably, both TECAS and escitalopram demonstrated equivalent antidepressant efficacy, with both treatments showing modulatory effects on connectivity within the default mode network (DMN). The observed normalization of abnormal FC regions, including mSFG_R, IOG_R, and MTG, all belong to the DMN. In conclusion, this study sheds light on the neurological effects and treatment response of TECAS in MDD, highlighting its potential as a non-invasive therapeutic option for depressed patients.

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Sharbafshaaer M, Gigi I, Lavorgna L, Esposito S, Bonavita S, Tedeschi G, Esposito F, Trojsi F. Repetitive Transcranial Magnetic Stimulation (rTMS) in Mild Cognitive Impairment: Effects on Cognitive Functions-A Systematic Review. J Clin Med 2023;12:6190. [PMID: 37834834 PMCID: PMC10573645 DOI: 10.3390/jcm12196190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 09/18/2023] [Accepted: 09/20/2023] [Indexed: 10/15/2023] Open

Abstract

Repetitive transcranial magnetic stimulation (rTMS) is a non-invasive brain stimulation technique also used as a non-pharmacological intervention against cognitive impairment. The purpose of the present review was to summarize what is currently known about the effectiveness of rTMS intervention on different cognitive domains in patients with mild cognitive impairment (MCI) and to address potential neuromodulation approaches in combination with electroencephalography (EEG) and neuroimaging, especially functional magnetic resonance imaging (fMRI). In this systematic review, we consulted three main databases (PubMed, Science Direct, and Scopus), and Google Scholar was selected for the gray literature search. The PRISMA flowchart drove the studies' inclusion. The selection process ensured that only high-quality studies were included; after removing duplicate papers, explicit ratings were given based on the quality classification as high (A), moderate (B), or low (C), considering factors such as risks of bias, inaccuracies, inconsistencies, lack of direction, and publication bias. Seven full-text articles fulfilled the stated inclusion, reporting five double-blind, randomized, sham-controlled studies, a case study, and a randomized crossover trial. The results of the reviewed studies suggested that rTMS in MCI patients is safe and effective for enhancing cognitive functions, thus making it a potential therapeutic approach for MCI patients. Changes in functional connectivity within the default mode network (DMN) after targeted rTMS could represent a valuable indicator of treatment response. Finally, high-frequency rTMS over the dorsolateral prefrontal cortex (DLPFC) has been shown to significantly enhance cognitive functions, such as executive performance, together with the increase of functional connectivity within frontoparietal networks. The main limitations were the number of included studies and the exclusion of studies using intermittent theta-burst stimulation, used in studies on Alzheimer's disease. Therefore, neuroimaging techniques in combination with rTMS have been shown to be useful for future network-based, fMRI-guided therapeutic approaches.

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Affiliation(s)

Minoo Sharbafshaaer MRI Research Center, Department of Advanced Medical and Surgical Sciences, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (M.S.); (I.G.); (S.B.); (G.T.); (F.E.); (F.T.)
Ilaria Gigi MRI Research Center, Department of Advanced Medical and Surgical Sciences, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (M.S.); (I.G.); (S.B.); (G.T.); (F.E.); (F.T.)
Luigi Lavorgna First Division of Neurology, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy;
Sabrina Esposito First Division of Neurology, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy;
Simona Bonavita MRI Research Center, Department of Advanced Medical and Surgical Sciences, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (M.S.); (I.G.); (S.B.); (G.T.); (F.E.); (F.T.) First Division of Neurology, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy;
Gioacchino Tedeschi MRI Research Center, Department of Advanced Medical and Surgical Sciences, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (M.S.); (I.G.); (S.B.); (G.T.); (F.E.); (F.T.) First Division of Neurology, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy;
Fabrizio Esposito MRI Research Center, Department of Advanced Medical and Surgical Sciences, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (M.S.); (I.G.); (S.B.); (G.T.); (F.E.); (F.T.)
Francesca Trojsi MRI Research Center, Department of Advanced Medical and Surgical Sciences, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (M.S.); (I.G.); (S.B.); (G.T.); (F.E.); (F.T.) First Division of Neurology, Università degli Studi della Campania “Luigi Vanvitelli”, 80138 Naples, Italy;

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McGowan A, Gui Y, Dobbs M, Shuster S, Cotter M, Selloni A, Goodman M, Srivastava A, Cecchi GA, Corcoran CM. ChatGPT and Bard exhibit spontaneous citation fabrication during psychiatry literature search. Psychiatry Res 2023;326:115334. [PMID: 37499282 PMCID: PMC10424704 DOI: 10.1016/j.psychres.2023.115334] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 07/01/2023] [Accepted: 07/03/2023] [Indexed: 07/29/2023]

Batail JM, Xiao X, Azeez A, Tischler C, Kratter IH, Bishop JH, Saggar M, Williams NR. Network effects of Stanford Neuromodulation Therapy (SNT) in treatment-resistant major depressive disorder: a randomized, controlled trial. Transl Psychiatry 2023;13:240. [PMID: 37400432 DOI: 10.1038/s41398-023-02537-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 06/20/2023] [Accepted: 06/21/2023] [Indexed: 07/05/2023] Open

Han X, Zhu Z, Luan J, Lv P, Xin X, Zhang X, Shmuel A, Yao Z, Ma G, Zhang B. Effects of repetitive transcranial magnetic stimulation and their underlying neural mechanisms evaluated with magnetic resonance imaging-based brain connectivity network analyses. Eur J Radiol Open 2023;10:100495. [PMID: 37396489 PMCID: PMC10311181 DOI: 10.1016/j.ejro.2023.100495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 06/03/2023] [Indexed: 07/04/2023] Open

Affiliation(s)

Xiaowei Han Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, China Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, China Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, China
Zhengyang Zhu Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, China Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, China Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, China
Jixin Luan China-Japan Friendship Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, China
Pin Lv Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, China Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, China Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, China
Xiaoyan Xin Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, China Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, China Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, China
Xin Zhang Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, China Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, China Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, China
Amir Shmuel Montreal Neurological Institute, McGill University, Canada
Zeshan Yao Biomedical Engineering Institute, Jingjinji National Center of Technology Innovation, China
Guolin Ma Department of Radiology, China-Japan Friendship Hospital, China
Bing Zhang Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, China Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, China Nanjing University Institute of Medical Imaging and Artificial Intelligence, Nanjing University, China

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Zhao Y, He Z, Luo W, Yu Y, Chen J, Cai X, Gao J, Li L, Gao Q, Chen H, Lu F. Effect of intermittent theta burst stimulation on suicidal ideation and depressive symptoms in adolescent depression with suicide attempt: A randomized sham-controlled study. J Affect Disord 2023;325:618-626. [PMID: 36682694 DOI: 10.1016/j.jad.2023.01.061] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 01/04/2023] [Accepted: 01/16/2023] [Indexed: 01/20/2023]

Affiliation(s)

Yi Zhao The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
Zongling He The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
Wei Luo The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
Yue Yu The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
Jiajia Chen The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
Xiao Cai The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
Jingjing Gao School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Lingjiang Li Health Institute, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China
Qing Gao The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China
Huafu Chen The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, 611731, China
Fengmei Lu The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China.

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Deng Y, Li W, Zhang B. Functional Activity in the Effect of Transcranial Magnetic Stimulation Therapy for Patients with Depression: A Meta-Analysis. J Pers Med 2023;13:jpm13030405. [PMID: 36983590 PMCID: PMC10051603 DOI: 10.3390/jpm13030405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 02/22/2023] [Accepted: 02/22/2023] [Indexed: 03/03/2023] Open

Ni HC, Chao YP, Tseng RY, Wu CT, Cocchi L, Chou TL, Chen RS, Gau SSF, Yeh CH, Lin HY. Lack of effects of four-week theta burst stimulation on white matter macro/microstructure in children and adolescents with autism. Neuroimage Clin 2023;37:103324. [PMID: 36638598 PMCID: PMC9852693 DOI: 10.1016/j.nicl.2023.103324] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 12/18/2022] [Accepted: 01/05/2023] [Indexed: 01/09/2023]

Philippi CL, Leutzinger K, Pessin S, Cassani A, Mikel O, Walsh EC, Hoks RM, Birn RM, Abercrombie HC. Neural signal variability relates to maladaptive rumination in depression. J Psychiatr Res 2022;156:570-578. [PMID: 36368247 PMCID: PMC9817305 DOI: 10.1016/j.jpsychires.2022.10.070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 10/28/2022] [Accepted: 10/31/2022] [Indexed: 11/05/2022]

Yi S, Wang Z, Yang W, Huang C, Liu P, Chen Y, Zhang H, Zhao G, Li W, Fang J, Liu J. Neural activity changes in first-episode, drug-naïve patients with major depressive disorder after transcutaneous auricular vagus nerve stimulation treatment: A resting-state fMRI study. Front Neurosci 2022;16:1018387. [PMID: 36312012 PMCID: PMC9597483 DOI: 10.3389/fnins.2022.1018387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Accepted: 09/26/2022] [Indexed: 11/14/2022] Open

Abstract

Introduction

Major depressive disorder (MDD) is a disease with prominent individual, medical, and economic impacts. Drug therapy and other treatment methods (such as Electroconvulsive therapy) may induce treatment-resistance and have associated side effects including loss of memory, decrease of reaction time, and residual symptoms. Transcutaneous auricular vagus nerve stimulation (taVNS) is a novel and non-invasive treatment approach which stimulates brain structures with no side-effects. However, it remains little understood whether and how the neural activation is modulated by taVNS in MDD patients. Herein, we used the regional homogeneity (ReHo) to investigate the brain activity in first-episode, drug-naïve MDD patients after taVNS treatment.

Materials and methods

Twenty-two first-episode, drug-naïve MDD patients were enrolled in the study. These patients received the first taVNS treatment at the baseline time, and underwent resting-state MRI scanning twice, before and after taVNS. All the patients then received taVNS treatments for 4 weeks. The severity of depression was assessed by the 17-item Hamilton Depression Rating Scale (HAMD) at the baseline time and after 4-week’s treatment. Pearson analysis was used to assess the correlation between alterations of ReHo and changes of the HAMD scores. Two patients were excluded due to excessive head movement, two patients lack clinical data in the fourth week, thus, imaging analysis was performed in 20 patients, while correlation analysis between clinical and imaging data was performed in only 18 patients.

Results

There were significant differences in the ReHo values in first-episode, drug-naïve MDD patients between pre- or post- taVNS. The primary finding is that the patients exhibited a significantly lower ReHo in the left/right median cingulate cortex, the left precentral gyrus, the left postcentral gyrus, the right calcarine cortex, the left supplementary motor area, the left paracentral lobule, and the right lingual gyrus. Pearson analysis revealed a positive correlation between changes of ReHo in the right median cingulate cortex/the left supplementary motor area and changes of HAMD scores after taVNS.

Conclusion

The decreased ReHo were found after taVNS. The sensorimotor, limbic and visual-related brain regions may play an important role in understanding the underlying neural mechanisms and be the target brain regions in the further therapy.

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Faramarzi A, Sharini H, Shanbehzadeh M, Pour MY, Fooladi M, Jalalvandi M, Amiri S, Kazemi-Arpanahi H. Anhedonia symptoms: The assessment of brain functional mechanism following music stimuli using functional magnetic resonance imaging. Psychiatry Res Neuroimaging 2022;326:111532. [PMID: 36095991 DOI: 10.1016/j.pscychresns.2022.111532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 08/13/2022] [Accepted: 08/19/2022] [Indexed: 11/16/2022]

Chiappini S, Picutti E, Alessi MC, Di Carlo F, D'Andrea G, Miuli A, Pettorruso M, Martinotti G, di Giannantonio M. Efficacy of Noninvasive Brain Stimulation on Borderline Personality Disorder Core Symptoms: A Systematic Review. J Pers Disord 2022;36:505-526. [PMID: 36181488 DOI: 10.1521/pedi.2022.36.5.505] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]

Wu Q, Xu X, Zhai C, Zhao Z, Dai W, Wang T, Shen Y. High-frequency repetitive transcranial magnetic stimulation improves spatial episodic learning and memory performance by regulating brain plasticity in healthy rats. Front Neurosci 2022;16:974940. [PMID: 35992904 PMCID: PMC9389218 DOI: 10.3389/fnins.2022.974940] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 07/19/2022] [Indexed: 11/16/2022] Open

Abstract

Background

Repetitive transcranial magnetic stimulation (rTMS) is an effective way to stimulate changes in structural and functional plasticity, which is a part of learning and memory. However, to our knowledge, rTMS-induced specific activity and neural plasticity in different brain regions that affect cognition are not fully understood; nor are its mechanisms. Therefore, we aimed to investigate rTMS-induced cognition-related neural plasticity changes and their mechanisms in different brain regions.

Methods

A total of 30 healthy adult rats were randomly divided into the control group and the rTMS group (n = 15 rats per group). The rats in the control and the rTMS group received either 4 weeks of sham or high-frequency rTMS (HF-rTMS) over the prefrontal cortex (PFC). Cognitive function was detected by Morris water maze. Functional imaging was acquired by resting-state functional magnetic resonance imaging (rs-fMRI) before and after rTMS. The protein expressions of BDNF, TrkB, p-Akt, Akt, NR1, NR2A, and NR2B in the PFC, hippocampus, and primary motor cortex (M1) were detected by Western blot following rTMS.

Results

After 4 weeks of rTMS, the cognitive ability of healthy rats who underwent rTMS showed a small but significant behavioral improvement in spatial episodic learning and memory performance. Compared with the pre-rTMS or the control group, rats in the rTMS group showed increased regional homogeneity (ReHo) in multiple brain regions in the interoceptive/default mode network (DMN) and cortico-striatal-thalamic network, specifically the bilateral PFC, bilateral hippocampus, and the left M1. Western blot analyses showed that rTMS led to a significant increase in the expressions of N-methyl-D-aspartic acid (NMDA) receptors, including NR1, NR2A, and NR2B in the PFC, hippocampus, and M1, as well as an upregulation of BDNF, TrkB, and p-Akt in these three brain regions. In addition, the expression of NR1 in these three brain regions correlated with rTMS-induced cognitive improvement.

Conclusion

Overall, these data suggested that HF-rTMS can enhance cognitive performance through modulation of NMDA receptor-dependent brain plasticity.

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Chen Q, Bi Y, Zhao X, Lai Y, Yan W, Xie L, Gao T, Xie S, Zeng T, Li J, Kuang S, Gao L, Lv Z. Regional amplitude abnormities in the major depressive disorder: A resting-state fMRI study and support vector machine analysis. J Affect Disord 2022;308:1-9. [PMID: 35398104 DOI: 10.1016/j.jad.2022.03.079] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Revised: 03/28/2022] [Accepted: 03/31/2022] [Indexed: 12/11/2022]

Struckmann W, Bodén R, Gingnell M, Fällmar D, Persson J. Modulation of dorsolateral prefrontal cortex functional connectivity after intermittent theta-burst stimulation in depression: Combining findings from fNIRS and fMRI. Neuroimage Clin 2022;34:103028. [PMID: 35537216 PMCID: PMC9118162 DOI: 10.1016/j.nicl.2022.103028] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 04/04/2022] [Accepted: 04/28/2022] [Indexed: 12/21/2022]

Abstract

BACKGROUND

Resting-state functional magnetic resonance imaging (fMRI) can assess modulation of functional connectivity networks following repetitive transcranial magnetic stimulation (rTMS) in the treatment of depression. Functional near-infrared spectroscopy (fNIRS) is well suited for the concurrent application during rTMS treatment sessions to capture immediate blood oxygenation (oxy-Hb) effects, however limited in spatial resolution.

OBJECTIVE

To understand the network effects behind such a prefrontal fNIRS response during rTMS, and to test whether the fNIRS signal may be predictive of treatment response, we linked data from fNIRS and fMRI within a clinical intervention study.

METHODS

42 patients with ongoing depression were recruited and randomized to receive active or sham intermittent theta-burst stimulation (iTBS) over the dorsomedial prefrontal cortex (dmPFC) twice daily for ten days at target intensity. Oxy-Hb was recorded with fNIRS during the first, fifth, and final day of iTBS, with the probe holders located laterally to the TMS coil over regions corresponding to the left and right dorsolateral prefrontal cortex (dlPFC). Resting-state fMRI scanning was performed before and after the whole iTBS treatment course. Functional connectivity analyses were then performed using dlPFC seeds from parcels of a brain atlas showing most overlap with the fNIRS probe locations during treatment.

RESULTS

After active iTBS, left dlPFC-connectivity to the right insula/operculum was reduced compared to sham. The left insula showed a connectivity reduction to the left dlPFC that correlated with an improvement in symptoms. In addition, the posterior parietal cortex showed a connectivity reduction to the left dlPFC that correlated with the fNIRS signal following active iTBS. Finally, the fNIRS oxy-Hb signal from the left dlPFC-seed during the first treatment day was predictive of dlPFC-connectivity change to precentral and temporal cortex regions.

CONCLUSION

By linking findings from these two different methods, this study suggests that changes within both the salience network and the central executive network affect the fNIRS response to iTBS.

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Mohamad Safiai NI, Mohamad NA, Basri H, Inche Mat LN, Hoo FK, Abdul Rashid AM, Yusof Khan AHK, Loh WC, Baharin J, Fernandez A, Samsudin IN, Mohamed MH, Ching SM, Lee KW, Ramachandran V, Pozo-Rosich P, Wan Sulaiman WA. High-frequency repetitive transcranial magnetic stimulation at dorsolateral prefrontal cortex for migraine prevention: A systematic review and meta-analysis. Cephalalgia 2022;42:1071-1085. [PMID: 35435045 DOI: 10.1177/03331024221092423] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]

Affiliation(s)

Nabil Izzaatie Mohamad Safiai Department of Neurology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
Nur Afiqah Mohamad Department of Neurology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
Hamidon Basri Department of Neurology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
Liyana Najwa Inche Mat Department of Neurology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
Fan Kee Hoo Department of Neurology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
Anna Misyail Abdul Rashid Department of Neurology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
Abdul Hanif Khan Yusof Khan Department of Neurology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
Wei Chao Loh Department of Neurology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
Janudin Baharin Department of Neurology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
Aaron Fernandez Department of Psychiatry, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
Intan Nureslyna Samsudin Department of Pathology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
Mohd Hazmi Mohamed Department of ORL-HNS, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
Siew Mooi Ching Department of Family Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.,Department of Medical Sciences, School of Medical and Live Sciences, Sunway University, Bandar Sunway, Selangor, Malaysia
Kai Wei Lee Department of Preclinical Sciences, Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, Kajang, Selangor, Malaysia
Vasudevan Ramachandran Centre for Materials Engineering and Regenerative Medicine, Bharath Institute of Higher Education and Research, Selaiyur, Chennai, Tamil Nadu, India
Patricia Pozo-Rosich Headache and Craniofacial Pain Unit, Neurology Department, Hospital Universitari Vall d'Hebron, Barcelona, Spain.,Headache and Neurological Pain Research Group, Vall d'Hebron Research Institute, Universitat Autonoma de Barcelona, Barcelona, Spain
Wan Aliaa Wan Sulaiman Department of Neurology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.,Malaysian Research Institute on Ageing (MyAgeing), Universiti Putra Malaysia, Serdang, Selangor, Malaysia

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Chen D, Lei X, Du L, Long Z. Use of machine learning in predicting the efficacy of repetitive transcranial magnetic stimulation on treating depression based on functional and structural thalamo-prefrontal connectivity: A pilot study. J Psychiatr Res 2022;148:88-94. [PMID: 35121273 DOI: 10.1016/j.jpsychires.2022.01.064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 01/25/2022] [Accepted: 01/27/2022] [Indexed: 11/19/2022]

Mechanisms of Repetitive Transcranial Magnetic Stimulation on Post-stroke Depression: A Resting-State Functional Magnetic Resonance Imaging Study. Brain Topogr 2022;35:363-374. [PMID: 35286526 DOI: 10.1007/s10548-022-00894-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 02/21/2022] [Indexed: 12/25/2022]

Guan M, Wang Z, Shi Y, Xie Y, Ma Z, Liu Z, Liu J, Gao X, Tan Q, Wang H. Altered Brain Function and Causal Connectivity Induced by Repetitive Transcranial Magnetic Stimulation Treatment for Major Depressive Disorder. Front Neurosci 2022;16:855483. [PMID: 35368283 PMCID: PMC8964457 DOI: 10.3389/fnins.2022.855483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Accepted: 02/03/2022] [Indexed: 11/13/2022] Open

Abstract

Objective

Repetitive transcranial magnetic stimulation (rTMS) can effectively improve depression symptoms in patients with major depressive disorder (MDD); however, its mechanism of action remains obscure. This study explored the neuralimaging mechanisms of rTMS in improving depression symptoms in patients with MDD.

Methods

In this study, MDD patients with first-episode, drug-naive (n = 29) and healthy controls (n = 33) were enrolled. Depression symptoms before and after rTMS treatment were assessed using the Hamilton Depression Rating Scale (HAMD-17). Resting-state functional magnetic resonance imaging (rs-fMRI) data were collected both before and after the treatment. Changes in the brain function after the treatment were compared using the following two indices: the amplitude of the low-frequency fluctuation (ALFF) and regional homogeneity (ReHo), which are sensitive for evaluating spontaneous neuronal activity. The brain region with synchronous changes was selected as the seed point, and the differences in the causal connectivity between the seed point and whole brain before and after rTMS treatment were investigated via Granger causality analysis (GCA).

Results

Before treatment, patients with MDD had significantly lower ALFF in the left superior frontal gyrus (p < 0.01), higher ALFF in the left middle frontal gyrus and left precuneus (p < 0.01), and lower ReHo in the left middle frontal and left middle occipital gyri (p < 0.01) than the values observed in healthy controls. After the rTMS treatment, the ALFF was significantly increased in the left superior frontal gyrus (p < 0.01) and decreased in the left middle frontal gyrus and left precuneus (p < 0.01). Furthermore, ReHo was significantly increased in the left middle frontal and left middle occipital gyri (p < 0.01) in patients with MDD. Before treatment, GCA using the left middle frontal gyrus (the brain region with synchronous changes) as the seed point revealed a weak bidirectional causal connectivity between the middle and superior frontal gyri as well as a weak causal connectivity from the inferior temporal to the middle frontal gyri. After treatment, these causal connectivities were strengthened. Moreover, the causal connectivity from the inferior temporal gyrus to the middle frontal gyri negatively correlated with the total HAMD-17 score (r = −0.443, p = 0.021).

Conclusion

rTMS treatment not only improves the local neural activity in the middle frontal gyrus, superior frontal gyrus, and precuneus but also strengthens the bidirectional causal connectivity between the middle and superior frontal gyri and the causal connectivity from the inferior temporal to the middle frontal gyri. Changes in these neuroimaging indices may represent the neural mechanisms underlying rTMS treatment in MDD.

Clinical Trial Registration

This study was registered in the Chinese Clinical Trial Registry (Registration number: ChiCTR1800019761).

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Godfrey KEM, Muthukumaraswamy SD, Stinear CM, Hoeh N. Decreased salience network fMRI functional connectivity following a course of rTMS for treatment-resistant depression. J Affect Disord 2022;300:235-242. [PMID: 34986371 DOI: 10.1016/j.jad.2021.12.129] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 11/08/2021] [Accepted: 12/30/2021] [Indexed: 01/04/2023]

Li J, Chen J, Kong W, Li X, Hu B. Abnormal core functional connectivity on the pathology of MDD and antidepressant treatment: A systematic review. J Affect Disord 2022;296:622-634. [PMID: 34688026 DOI: 10.1016/j.jad.2021.09.074] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 09/19/2021] [Accepted: 09/22/2021] [Indexed: 02/06/2023]

Zamani A, Carhart-Harris R, Christoff K. Prefrontal contributions to the stability and variability of thought and conscious experience. Neuropsychopharmacology 2022;47:329-348. [PMID: 34545195 PMCID: PMC8616944 DOI: 10.1038/s41386-021-01147-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 08/02/2021] [Accepted: 08/03/2021] [Indexed: 02/08/2023]

Li X, Yu R, Huang Q, Chen X, Ai M, Zhou Y, Dai L, Qin X, Kuang L. Alteration of Whole Brain ALFF/fALFF and Degree Centrality in Adolescents With Depression and Suicidal Ideation After Electroconvulsive Therapy: A Resting-State fMRI Study. Front Hum Neurosci 2021;15:762343. [PMID: 34858155 PMCID: PMC8632519 DOI: 10.3389/fnhum.2021.762343] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Accepted: 10/18/2021] [Indexed: 11/15/2022] Open

Chen C, Liu Z, Zuo J, Xi C, Long Y, Li MD, Ouyang X, Yang J. Decreased Cortical Folding of the Fusiform Gyrus and Its Hypoconnectivity with Sensorimotor Areas in Major Depressive Disorder. J Affect Disord 2021;295:657-664. [PMID: 34509781 DOI: 10.1016/j.jad.2021.08.148] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 07/24/2021] [Accepted: 08/27/2021] [Indexed: 02/08/2023]

Affiliation(s)

Chujun Chen Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China; National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
Zhening Liu Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China; National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
Jing Zuo Clinical Medical Research Center of Hunan Provincial Mental Behavioral Disorder, Clinical Medical School of Hunan University of Chinese Medicine; Hunan Provincial Brain Hospital, Changsha 410007, Hunan, China
Chang Xi Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China; National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
Yicheng Long Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China; National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
Ming D Li State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Research Center for Air Pollution and Health, Zhejiang University, Hangzhou, China
Xuan Ouyang Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China; National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
Jie Yang Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China; National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.

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Pan Y, Liu Z, Xue Z, Sheng Y, Cai Y, Cheng Y, Chen X. Abnormal Network Properties and Fiber Connections of DMN across Major Mental Disorders: A Probability Tracing and Graph Theory Study. Cereb Cortex 2021;32:3127-3136. [PMID: 34849632 DOI: 10.1093/cercor/bhab405] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 10/09/2021] [Accepted: 10/10/2021] [Indexed: 12/25/2022] Open

Feng ZJ, Deng XP, Zhao N, Jin J, Yue J, Hu YS, Jing Y, Wang HX, Knösche TR, Zang YF, Wang J. Resting-State fMRI Functional Connectivity Strength Predicts Local Activity Change in the Dorsal Cingulate Cortex: A Multi-Target Focused rTMS Study. Cereb Cortex 2021;32:2773-2784. [PMID: 34689201 PMCID: PMC9247427 DOI: 10.1093/cercor/bhab380] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 09/21/2021] [Accepted: 09/22/2021] [Indexed: 12/19/2022] Open

Affiliation(s)

Zi-Jian Feng Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou 310015, China.,Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou 311121, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou 310015, China
Xin-Ping Deng Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou 310015, China.,Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou 311121, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou 310015, China
Na Zhao Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou 310015, China.,Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou 311121, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou 310015, China
Jing Jin Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou 310015, China.,Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou 311121, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou 310015, China
Juan Yue Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou 310015, China.,Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou 311121, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou 310015, China
Yun-Song Hu Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou 310015, China.,Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou 311121, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou 310015, China
Ying Jing Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou 310015, China.,Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou 311121, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou 310015, China
Hong-Xiao Wang Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou 310015, China.,Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou 311121, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou 310015, China
Thomas R Knösche Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig 04103, Germany
Yu-Feng Zang Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou 310015, China.,Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou 311121, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou 310015, China
Jue Wang Institute of sports medicine and health, Chengdu Sport University, Chengdu 610041, China

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Schiena G, Franco G, Boscutti A, Delvecchio G, Maggioni E, Brambilla P. Connectivity changes in major depressive disorder after rTMS: a review of functional and structural connectivity data. Epidemiol Psychiatr Sci 2021;30:e59. [PMCID: PMC8444152 DOI: 10.1017/s2045796021000482] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open

Guo H, Xiao Y, Sun D, Yang J, Wang J, Wang H, Pan C, Li C, Zhao P, Zhang Y, Wu J, Zhang X, Wang F. Early-Stage Repetitive Transcranial Magnetic Stimulation Altered Posterior-Anterior Cerebrum Effective Connectivity in Methylazoxymethanol Acetate Rats. Front Neurosci 2021;15:652715. [PMID: 34093113 PMCID: PMC8176023 DOI: 10.3389/fnins.2021.652715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 03/29/2021] [Indexed: 11/13/2022] Open

Abstract

The aim of the current resting-state functional magnetic resonance imaging (fMRI) study was to investigate the potential mechanism of schizophrenia through the posterior-anterior cerebrum imbalance in methylazoxymethanol acetate (MAM) rats and to evaluate the effectiveness of repetitive transcranial magnetic stimulation (rTMS) as an early-stage intervention. The rats were divided into four groups: the MAM-sham group, vehicle-sham group, MAM-rTMS group, and vehicle-rTMS group. The rTMS treatment was targeted in the visual cortex (VC) in adolescent rats. Granger Causality Analysis (GCA) was used to evaluate the effective connectivity between regions of interest. Results demonstrated a critical right VC-nucleus accumbens (Acb)-orbitofrontal cortex (OFC) pathway in MAM rats; significant differences of effective connectivity (EC) were found between MAM-sham and vehicle-sham groups (from Acb shell to OFC: t = -2.553, p = 0.021), MAM-rTMS and MAM-sham groups (from VC to Acb core: t = -2.206, p = 0.043; from Acb core to OFC: t = 4.861, p < 0.001; from Acb shell to OFC: t = 4.025, p = 0.001), and MAM-rTMS and vehicle-rTMS groups (from VC to Acb core: t = -2.482, p = 0.025; from VC to Acb shell: t = -2.872, p = 0.012; from Acb core to OFC: t = 4.066, p = 0.001; from Acb shell to OFC: t = 3.458, p = 0.004) in the right hemisphere. Results of the early-stage rTMS intervention revealed that right nucleus accumbens played the role as a central hub, and VC was a potentially novel rTMS target region during adolescent schizophrenia. Moreover, the EC of right nucleus accumbens shell and orbitofrontal cortex was demonstrated to be a potential biomarker. To our knowledge, this was the first resting-state fMRI study using GCA to assess the deficits of a visual-reward neural pathway and the effectiveness of rTMS treatment in MAM rats. More randomized controlled trials in both animal models and schizophrenia patients are needed to further elucidate the disease characteristics.

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Affiliation(s)

Huiling Guo Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.,Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, China
Yao Xiao Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, China.,Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
Dandan Sun Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
Jingyu Yang Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.,Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, China
Jie Wang Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China
Huaning Wang Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, China
Chunyu Pan Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, China.,School of Computer Science and Engineering, Northeastern University, Shenyang, China
Chao Li Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
Pengfei Zhao Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
Yanbo Zhang Department of Psychiatry, Faculty of Medicine and Dentistry, The Neuroscience and Mental Health Institute (NMHI), University of Alberta, Alberta, AB, Canada
Jinfeng Wu Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China
Xizhe Zhang School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.,Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
Fei Wang Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.,Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, China

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Liu X, Hou Z, Yin Y, Xie C, Zhang H, Zhang H, Zhang Z, Yuan Y. Dopamine Multilocus Genetic Profile, Spontaneous Activity of Left Superior Temporal Gyrus, and Early Therapeutic Effect in Major Depressive Disorder. Front Psychiatry 2020;11:591407. [PMID: 33414733 PMCID: PMC7782966 DOI: 10.3389/fpsyt.2020.591407] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 11/17/2020] [Indexed: 12/15/2022] Open

Abstract

Objectives: This study aimed to examine the interactive effects of dopamine (DA) pathway gene and disease on spontaneous brain activity and further to explore the relationship between spontaneous brain activity and the early antidepressant therapeutic effect in patients with major depressive disorder (MDD). Methods: A total of 104 patients with MDD and 64 healthy controls (HCs) were recruited. The Hamilton Depression Scale-24 (HAMD-24) was used to measure the depression severity. Both groups were given resting-state functional magnetic resonance imaging (rs-fMRI) scan. The amplitude of low-frequency fluctuation (ALFF) was calculated to reflect the spontaneous brain activity based on the rs-fMRI data. After treatment for 2 weeks, depression severity was evaluated again, and HAMD-24 reductive rate was used to measure the therapeutic effect of antidepressants. Multilocus genetic profile scores (MGPS) were used to assess the multi-site cumulative effect of DA pathway gene. The interactive effects of MDD and DA pathway gene on the ALFF of regional brain areas were measured by the multivariate linear regression analysis. Finally, partial correlation analysis (age, sex, education, and illness durations as covariates) was performed to identify the relationship between regional ALFF and therapeutic effect. Results: MDD and DA-MGPS had interactive effects on the left fusiform gyrus (FG_L), right calcarine sulcus (CS_R), left superior temporal gyrus (STG_L), bilateral cerebellum posterior lobe (CPL), bilateral inferior frontal gyrus (IFG), and bilateral superior frontal gyrus (SFG). Partial correlation analysis revealed that the ALFF of STG_L had a significant negative correlation with 2-week HAMD-24 reductive rate (r = -0.211, P = 0.035). Conclusions: The spontaneous activity of STG_L may be a potential biomarker of antidepressant-related early therapeutic effect underlying the influence of DA pathway genes in MDD.

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