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Greydanus DE, Nazeer A, Qayyum Z, Patel DR, Rausch R, Hoang LN, Miller C, Chahin S, Apple RW, Saha G, Prasad Rao G, Javed A. Pediatric suicide: Review of a preventable tragedy. Dis Mon 2024; 70:101725. [PMID: 38480023 DOI: 10.1016/j.disamonth.2024.101725] [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] [Indexed: 09/07/2024]
Abstract
Concepts of suicide are explored in this issue with a focus on suicide in children and adolescents. The epidemiology of pediatric suicide in the United States is reviewed; also, risk and protective factors, as well as prevention strategies, are discussed. Suicide in the pediatric athlete and the potential protective effect of exercise are examined. In addition, this analysis addresses the beneficial role of psychological management as well as current research on pharmacologic treatment and brain stimulation procedures as part of comprehensive pediatric suicide prevention. Though death by suicide in pediatric persons has been and remains a tragic phenomenon, there is much that clinicians, other healthcare professionals, and society itself can accomplish in the prevention of pediatric suicide as well as the management of suicidality in our children and adolescents.
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Affiliation(s)
- Donald E Greydanus
- Department of Pediatric and Adolescent Medicine, Western Michigan University, Homer Stryker M.D. School of Medicine, Kalamazoo, MI, United States.
| | - Ahsan Nazeer
- Division of Child and Adolescent Psychiatry, Sidra Medicine/Weill Cornell Medicine, Doha, Qatar
| | - Zheala Qayyum
- Harvard Medical School, Boston, Massachusetts, United States
| | - Dilip R Patel
- Department of Pediatric and Adolescent Medicine, Western Michigan University, Homer Stryker M.D. School of Medicine, Kalamazoo, MI, United States
| | - Rebecca Rausch
- Division of Pediatric Psychology, Department of Pediatric and Adolescent Medicine, Western Michigan University, Homer Stryker M.D. School of Medicine, Kalamazoo, MI, United States
| | - Linh-Nhu Hoang
- Western Michigan University, Kalamazoo, MI, United States
| | - Caroline Miller
- Fielding Graduate University, Santa Barbara, CA, United States
| | - Summer Chahin
- Mott Children's Hospital, University of Michigan, Ann Arbor, MI, United States
| | - Roger W Apple
- Division of Pediatric Psychology, Department of Pediatric and Adolescent Medicine, Western Michigan University, Homer Stryker M.D. School of Medicine, Kalamazoo, MI, United States
| | - Gautam Saha
- Immediate Past President of the SAARC (South Asian Association for Regional Cooperation) Psychiatric Federation (SPF), India
| | - G Prasad Rao
- President, Asian Federation of Psychiatric Association (AFPA), India
| | - Afzal Javed
- Chairman Pakistan Psychiatric Research Centre, Immediate Past President of the World Psychiatric Association (WPA), Pakistan
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Lu F, Zhang J, Zhong Y, Hong L, Wang J, Du H, Fang J, Fan Y, Wang X, Yang Y, He Z, Jia C, Wang W, Lv X. Neural signatures of default mode network subsystems in first-episode, drug-naive patients with major depressive disorder after 6-week thought induction psychotherapy treatment. Brain Commun 2024; 6:fcae263. [PMID: 39171204 PMCID: PMC11337011 DOI: 10.1093/braincomms/fcae263] [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: 05/08/2024] [Revised: 06/20/2024] [Accepted: 08/08/2024] [Indexed: 08/23/2024] Open
Abstract
Evidence indicates that the default mode network (DMN) plays a crucial role in the neuropathology of major depressive disorder (MDD). However, the neural signatures of DMN subsystems in MDD after low resistance Thought Induction Psychotherapy (TIP) remain incompletely understood. We collected functional magnetic resonance imaging data from 20 first-episode, drug-naive MDD and 20 healthy controls (HCs). The DMN was segmented into three subsystems and seed-based functional connectivity (FC) was computed. After 6-week treatment, the significantly reduced FCs with the medial temporal lobe memory subsystem in MDD at baseline were enhanced and were comparable to that in HCs. Changed Hamilton Depression Rating Scale scores were significantly related with changed FC between the posterior cingulate cortex (PCC) and the right precuneus (PCUN). Further, changed serotonin 5-hydroxytryptamine levels were significantly correlated with changed FCs between the PCC and the left PCUN, between the posterior inferior parietal lobule and the left inferior temporal gyrus, and between the retrosplenial cortex and the right inferior frontal gyrus, opercular part. Finally, the support vector machine obtained an accuracy of 67.5% to distinguish between MDD at baseline and HCs. These findings may deepen our understanding of the neural basis of the effects of TIP on DMN subsystems in MDD.
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Affiliation(s)
- Fengmei Lu
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Jinhua Zhang
- Psychology Department of Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Yihua Zhong
- Teaching Department, The Open University of Chengdu, Chengdu 610213, China
| | - Lan Hong
- Psychology Department of Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Jian Wang
- Psychology Department of Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Hui Du
- Psychology Department of Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Jiliang Fang
- Psychology Department of Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Yangyang Fan
- Psychology Department of Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Xiaoling Wang
- Psychology Department of Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Yang Yang
- Psychology Department of Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Zongling He
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Chen Jia
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Weidong Wang
- Psychology Department of Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Xueyu Lv
- Psychology Department of Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
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Pan N, Fang Z, Wang J, Cao P. Frontal Theta Asymmetry may be a new target for reducing the severity of depression and improving cognitive function in depressed patients. J Affect Disord 2024; 356:477-482. [PMID: 38653159 DOI: 10.1016/j.jad.2024.04.085] [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: 11/28/2023] [Revised: 03/18/2024] [Accepted: 04/21/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND The prevalence of depressive disorder is increasing due to a variety of factors, which brings a huge strain on individuals, families and society. This study aims to investigate whether there is Frontal Theta Asymmetry (FTA) in depressed patients, and whether FTAs are related to depression severity and cognitive function changes in depressed patients. METHODS Participants who met the inclusion criteria were enrolled in this study. Socio-demographic data of each participant were recorded. Zung's self-rating Depression Scale was used to assess the depression status of participants. P300 was used to evaluate the cognitive function of participants. EEG data from participants were collected by the NeuroScan SynAmps RT EEG system. t-test, Wilcoxon rank-sum test and Chi-square test were used to detect the differences of different variables between the two groups. Multiple linear regression analysis and multiple logistic regression analysis were used to analyze relationships between FTAs in different regions and participants' depression status and cognitive function. RESULTS A total of 66 depressed participants and 47 healthy control participants were included in this study. The theta spectral power of the left frontal lobe was slightly stronger than that of the right frontal lobe in the depression group, while the opposite was true in the healthy control group. The FTA in F3/F4 had certain effects on the emergence of depression in participants, the emergence of depression in participants and Changes in cognitive function. CONCLUSIONS FTAs are helpful to assess the severity of depression and early identify cognitive impairment in patients with depression.
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Affiliation(s)
- Nannan Pan
- The Affiliated Brain Hospital of Guangzhou Medical University, China
| | - Ziyan Fang
- The Affiliated Brain Hospital of Guangzhou Medical University, China
| | - Jinwei Wang
- The Affiliated Brain Hospital of Guangzhou Medical University, China.
| | - Penghui Cao
- The Affiliated Brain Hospital of Guangzhou Medical University, China.
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Wang Y, Liu J, Chen S, Zheng C, Zou X, Zhou Y. Exploring risk factors and their differences on suicidal ideation and suicide attempts among depressed adolescents based on decision tree model. J Affect Disord 2024; 352:87-100. [PMID: 38360368 DOI: 10.1016/j.jad.2024.02.035] [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: 08/09/2023] [Revised: 02/04/2024] [Accepted: 02/11/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND Suicide has been recognized as a major global public health issue. Depressed adolescents are more prone to experiencing it. We explore risk factors and their differences on suicidal ideation and suicide attempts to further enhance our understanding of suicidal behavior. METHODS 2343 depressed adolescents aged 12-18 from 9 provinces/cities in China participated in this cross-sectional study. We utilized decision tree model, incorporating 32 factors encompassing participants' suicidal behavior. The feature importance of each factor was measured using Gini coefficients. RESULTS The decision tree model demonstrated a good fit with high accuracy (SI = 0.86, SA = 0.85 and F-Score (SI = 0.85, SA = 0.83). The predictive importance of each factor varied between groups with suicidal ideation and with suicide attempts. The most significant risk factor in both groups was depression (SI = 16.7 %, SA = 19.8 %). However, factors such as academic stress (SI = 7.2 %, SA = 1.6 %), hopelessness (SI = 9.1 %, SA = 5.0 %), and age (SI = 7.1 %, SA = 3.2 %) were more closely associated with suicidal ideation than suicide attempts. Factors related to the schooling status (SI = 3.5 %, SA = 10.1 %), total years of education (SI = 2.6 %, SA = 8.6 %), and loneliness (SI = 2.3 %, SA = 7.4 %) were relatively more important in the suicide attempt stage compared to suicidal ideation. LIMITATIONS The cross-sectional design limited the ability to capture changes in suicidal behavior among depressed adolescents over time. Possible bias may exist in the measurement of suicidal ideation. CONCLUSION The relative importance of each risk factor for suicidal ideation and attempted suicide varies. These findings provide further empirical evidence for understanding suicide behavior. Targeted treatment measures should be taken for different stages of suicide in clinical interventions.
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Affiliation(s)
- Yang Wang
- College of Management, Shenzhen University, Shenzhen, China
| | - Jiayao Liu
- College of Management, Shenzhen University, Shenzhen, China
| | - Siyu Chen
- College of Management, Shenzhen University, Shenzhen, China
| | - Chengyi Zheng
- College of Management, Shenzhen University, Shenzhen, China
| | - Xinwen Zou
- School of Business Informatics and Mathematics, University of Mannheim, Mannheim, Germany
| | - Yongjie Zhou
- Department of Psychiatric Rehabilitation, Shenzhen Kangning Hospital, Shenzhen, China.
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Huang D, Zhong S, Song X, Zhang R, Lai S, Jia Y. Effect of novel accelerated intermittent theta burst stimulation on suicidal ideation in adolescent patients with major depressive episode: a randomised clinical trial. Gen Psychiatr 2024; 37:e101394. [PMID: 38665940 PMCID: PMC11043680 DOI: 10.1136/gpsych-2023-101394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 03/13/2024] [Indexed: 04/28/2024] Open
Affiliation(s)
- Dong Huang
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Xiaodong Song
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Rongxu Zhang
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Shunkai Lai
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
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Zhang M, Li W, Ye Y, Hu Z, Zhou Y, Ning Y. Efficacy and safety of intermittent theta burst stimulation on adolescents and young adults with major depressive disorder: A randomized, double blinded, controlled trial. J Affect Disord 2024; 350:214-221. [PMID: 38199406 DOI: 10.1016/j.jad.2024.01.025] [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: 10/17/2023] [Revised: 12/02/2023] [Accepted: 01/03/2024] [Indexed: 01/12/2024]
Abstract
BACKGROUND Intermittent theta burst stimulation (iTBS) is a newer form of Repetitive Transcranial Magnetic Stimulation (rTMS) for depression. However, its efficacy and safety in adolescents and young adults with major depressive disorder (AYA-MDD) have not been well studied, especially when applied with a strategy that combines neuronavigation targeting and accelerated iTBS. METHODS In this study, ninety patients were randomly assigned to twice-daily (two 600-pulse sessions spaced out by 10 min, n = 31), once-daily (one 600-pulse session, n = 29) or sham iTBS (no pulses, n = 30) groups for 10 treatment days. The primary outcome measure was the change in depression scores on the Hamilton Rating Scale for Depression (HAMD-17). Other clinical symptoms, such as anxiety, were also evaluated. RESULTS Linear mixed model analysis found that scores on the HAMD-17 and its factors improved in all three groups, but these improvements did not significantly differ among groups. Other clinical symptoms such as anxiety also improved. Response and remission rates were relatively low and did not differ among groups at any time point. The most common adverse event was headache, and the proportion of participants who reported headache in the twice-daily and once-daily groups was significantly higher than that in the sham group. CONCLUSIONS The current results indicated that twice-daily and once-daily iTBS under neuronavigation are safe and well tolerated in AYA-MDD, but the overall efficacy was not superior to that of sham treatment. We speculated several possible reasons such as the high placebo response of the young population, inadequate iTBS pulses and so on.
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Affiliation(s)
- Min Zhang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Weicheng Li
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yanxiang Ye
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
| | - Zhibo Hu
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yanling Zhou
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
| | - Yuping Ning
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; The First School of Clinical Medicine, Southern Medical University, Guangzhou, China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
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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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