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Li Y, Yin Y, Yu Y, Hu X, Liu X, Wu S. The potential predictors for treatment-resistance depression after selective serotonin reuptake inhibitors therapy in Han Chinese: A resting-state functional magnetic resonance imaging study. Early Interv Psychiatry 2024. [PMID: 38320861 DOI: 10.1111/eip.13509] [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: 09/11/2023] [Revised: 11/26/2023] [Accepted: 01/24/2024] [Indexed: 02/08/2024]
Abstract
AIM Selective serotonin reuptake inhibitors (SSRIs) are among the most important antidepressants. However, there is limited research on predicting the occurrence of treatment-resistant depression (TRD) after 5 years. Examining the predictive effect of TRD occurrence using resting-state fMRI in patients initiating SSRIs treatment at the onset of major depressive disorder (MDD) could potentially enhance TRD management. METHODS A total of 60 first-episode drug-naive MDD patients who met the criteria, along with 41 healthy controls of Han Chinese ethnicity, were recruited. All MDD patients received SSRIs as the initial treatment for relieving depressive symptoms. Resting-state fMRI scans were conducted for all subjects. Follow-up assessments were conducted over a period of five years, during which MDD patients were categorized into treatment-resistant depression (TRD) and non-treatment-resistant depression (NRD) groups based on disease progression. Amplitude of low-frequency fluctuations (ALFF), fractional amplitude of low-frequency fluctuations (fALFF), and Regional Homogeneity (ReHo) values were calculated and compared among the three groups. Additionally, receiver operating characteristic (ROC) curves were employed to identify potential predictors. RESULTS After 5 years of follow-up, it was found that 43 MDD patients were classified as NRD, while 17 were classified as TRD. In comparison to TRD, NRD exhibited decreased ALFF in the left middle cingulum gyrus (MCG.L) and in the right middle frontal gyrus (MFG.R), as well as decreased ReHo in MCG.L. Furthermore, NRD showed increased fALFF in the left precuneus (PCUN.L). The area under the curve (AUC) values were as follows: 0.724 (MCG.L by ALFF), 0.732 (MFG.R), 0.767 (PCUN.L), 0.774 (MCG.L by ReHo), 0.878 (combined), 0.547 (HAMD), and 0.408 (HAMA) respectively. CONCLUSION The findings suggest that PCUN.L, MFG.R, MCG.L, and the combined measures may indicate the possibility of developing TRD after 5 years when SSRIs are used as the initial therapy for relieving depressive symptoms in MDD patients.
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Affiliation(s)
- Yi Li
- Department of Radiology, Zhejiang University School of Medicine Affiliated Mental Health Centre & Hangzhou Seventh People's Hospital, Hangzhou, China
| | - Yan Yin
- Department of Psychosomatic, Zhejiang University School of Medicine Affiliated Mental Health Centre & Hangzhou Seventh People's Hospital, Hangzhou, China
| | - Yingyi Yu
- Department of Radiology, Zhejiang University School of Medicine Affiliated Mental Health Centre & Hangzhou Seventh People's Hospital, Hangzhou, China
| | - Xiwen Hu
- The sixth ward of Psychiatry Department, Zhejiang University School of Medicine Affiliated Mental Health Centre & Hangzhou Seventh People's Hospital, Hangzhou, China
| | - XiaoYan Liu
- The fifth ward of Psychiatry Department, Zhejiang University School of Medicine Affiliated Mental Health Centre & Hangzhou Seventh People's Hospital, Hangzhou, China
| | - Sha Wu
- Department of intensive care unit, Zhejiang University School of Medicine Affiliated Mental Health Centre & Hangzhou Seventh People's Hospital, Hangzhou, China
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Chen H, Zhan L, Li Q, Meng C, Quan X, Chen X, Hao Z, Li J, Gao Y, Li H, Jia X, Li M, Liang Z. Frequency specific alterations of the degree centrality in patients with acute basal ganglia ischemic stroke: a resting-state fMRI study. Brain Imaging Behav 2024; 18:19-33. [PMID: 37821673 PMCID: PMC10844151 DOI: 10.1007/s11682-023-00806-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/14/2023] [Indexed: 10/13/2023]
Abstract
This study intended to investigate the frequency specific brain oscillation activity in patients with acute basal ganglia ischemic stroke (BGIS) by using the degree centrality (DC) method. A total of 34 acute BGIS patients and 44 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging (rs-fMRI) scanning. The DC values in three frequency bands (conventional band: 0.01-0.08 Hz, slow‑4 band: 0.027-0.073 Hz, slow‑5 band: 0.01-0.027 Hz) were calculated. A two-sample t-test was used to explore the between-group differences in the conventional frequency band. A two-way repeated-measures analysis of variance (ANOVA) was used to analyze the DC differences between groups (BGIS patients, HCs) and bands (slow‑4, slow‑5). Moreover, correlations between DC values and clinical indicators were performed. In conventional band, the DC value in the right middle temporal gyrus was decreased in BGIS patients compared with HCs. Significant differences of DC were observed between the two bands mainly in the bilateral cortical brain regions. Compared with the HCs, the BGIS patients showed increased DC in the right superior temporal gyrus and the left precuneus, but decreased mainly in the right inferior temporal gyrus, right inferior occipital gyrus, right precentral, and right supplementary motor area. Furthermore, the decreased DC in the right rolandic operculum in slow-4 band and the right superior temporal gyrus in slow-5 band were found by post hoc two-sample t-test of main effect of group. There was no significant correlation between DC values and clinical scales after Bonferroni correction. Our findings showed that the DC changes in BGIS patients were frequency specific. Functional abnormalities in local brain regions may help us to understand the underlying pathogenesis mechanism of brain functional reorganization of BGIS patients.
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Affiliation(s)
- Hao Chen
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Linlin Zhan
- Faculty of Western Languages, Heilongjiang University, Heilongjiang, China
| | - Qianqian Li
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Chaoguo Meng
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Xuemei Quan
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
- Department of Neurology, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Xiaoling Chen
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Zeqi Hao
- School of Teacher Education, Zhejiang Normal University, Jinhua, China
- Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China
| | - Jing Li
- School of Teacher Education, Zhejiang Normal University, Jinhua, China
- Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China
| | - Yanyan Gao
- School of Teacher Education, Zhejiang Normal University, Jinhua, China
- Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China
| | - Huayun Li
- School of Teacher Education, Zhejiang Normal University, Jinhua, China
- Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China
| | - Xize Jia
- School of Teacher Education, Zhejiang Normal University, Jinhua, China
- Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China
| | - Mengting Li
- School of Teacher Education, Zhejiang Normal University, Jinhua, China.
- Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China.
| | - Zhijian Liang
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
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Wu S, Wen Z, Yang W, Jiang C, Zhou Y, Zhao Z, Zhou A, Liu X, Wang X, Wang Y, Wang H, Lin F. Potential dynamic regional brain biomarkers for early discrimination of autism and language development delay in toddlers. Front Neurosci 2023; 16:1097244. [PMID: 36699523 PMCID: PMC9869111 DOI: 10.3389/fnins.2022.1097244] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 12/19/2022] [Indexed: 01/11/2023] Open
Abstract
Background The early diagnosis of autism in children is particularly important. However, there is no obvious objective indices for the diagnosis of autism spectrum disorder (ASD), especially in toddlers aged 1-3 years with language development delay (LDD). The early differential diagnosis of ASD is challenging. Objective To examine differences in the dynamic characteristics of regional neural activity in toddlers with ASD and LDD, and whether the differences can be used as an imaging biomarker for the early differential diagnosis of ASD and LDD. Methods Dynamic regional homogeneity (dReHo) and dynamic amplitude of low-frequency fluctuations (dALFF) in 55 children with ASD and 31 with LDD, aged 1-3 years, were compared. The correlations between ASD symptoms and the values of dReHo/dALFF within regions showing significant between-group differences were analyzed in ASD group. We further assessed the accuracy of dynamic regional neural activity alterations to distinguish ASD from LDD using receiver operating characteristic (ROC) analysis. Results Compared with the LDD group, the ASD group showed increased dReHo in the left cerebellum_8/Crust2 and right cerebellum_Crust2, and decreased dReHo in the right middle frontal gyrus (MFG) and post-central gyrus. Patients with ASD also exhibited decreased dALFF in the right middle temporal gyrus (MFG) and right precuneus. Moreover, the Childhood Autism Rating Scale score was negatively correlated with the dReHo of the left cerebellum_8/crust2 and right cerebellum_crust2. The dReHo value of the right MFG was negatively correlated with social self-help of the Autism Behavior Checklist score. Conclusion The pattern of resting-state regional neural activity variability was different between toddlers with ASD and those with LDD. Dynamic regional indices might be novel neuroimaging biomarkers that allow differentiation of ASD from LDD in toddlers.
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Affiliation(s)
- Shengjuan Wu
- Department of Child Health Care, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhi Wen
- Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Wenzhong Yang
- Department of Radiology, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chengcheng Jiang
- Department of Radiology, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yurong Zhou
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Zhiwei Zhao
- Department of Child Health Care, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Aiqin Zhou
- Department of Child Health Care, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xinglian Liu
- Department of Child Health Care, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoyan Wang
- Department of Child Health Care, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yue Wang
- Department of Child Health Care, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hong Wang
- Department of Child Health Care, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,*Correspondence: Hong Wang,
| | - Fuchun Lin
- 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, China,Fuchun Lin,
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Webler RD, Berg H, Fhong K, Tuominen L, Holt DJ, Morey RA, Lange I, Burton PC, Fullana MA, Radua J, Lissek S. The neurobiology of human fear generalization: meta-analysis and working neural model. Neurosci Biobehav Rev 2021; 128:421-436. [PMID: 34242718 DOI: 10.1016/j.neubiorev.2021.06.035] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 05/04/2021] [Accepted: 06/23/2021] [Indexed: 02/06/2023]
Abstract
Fear generalization to stimuli resembling a conditioned danger-cue (CS+) is a fundamental dynamic of classical fear-conditioning. Despite the ubiquity of fear generalization in human experience and its known pathogenic contribution to clinical anxiety, neural investigations of human generalization have only recently begun. The present work provides the first meta-analysis of this growing literature to delineate brain substrates of conditioned fear-generalization and formulate a working neural model. Included studies (K = 6, N = 176) reported whole-brain fMRI results and applied generalization-gradient methodology to identify brain activations that gradually strengthen (positive generalization) or weaken (negative generalization) as presented stimuli increase in CS+ resemblance. Positive generalization was instantiated in cingulo-opercular, frontoparietal, striatal-thalamic, and midbrain regions (locus coeruleus, periaqueductal grey, ventral tegmental area), while negative generalization was implemented in default-mode network nodes (ventromedial prefrontal cortex, hippocampus, middle temporal gyrus, angular gyrus) and amygdala. Findings are integrated within an updated neural account of generalization centering on the hippocampus, its modulation by locus coeruleus and basolateral amygdala, and the excitation of threat- or safety-related loci by the hippocampus.
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Affiliation(s)
- Ryan D Webler
- Department of Psychology, University of Minnesota, 75 E River Rd, Minneapolis, MN, 55455, USA
| | - Hannah Berg
- Department of Psychology, University of Minnesota, 75 E River Rd, Minneapolis, MN, 55455, USA
| | - Kimberly Fhong
- Department of Psychology, University of Minnesota, 75 E River Rd, Minneapolis, MN, 55455, USA
| | - Lauri Tuominen
- The Royal's Institute of Mental Health Research, University of Ottawa, 1145 Carling Avenue, Ottawa, Ontario, K1Z 7K4, Canada
| | - Daphne J Holt
- Department of Psychiatry, Massachusetts General Hospital/Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
| | - Rajendra A Morey
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, Duke University Medical Center, Durham, NC, 27710, USA; VA Mid-Atlantic Mental Illness Research Education and Clinical Center, 508 Fulton Street, Durham VAMC, Durham, VA Medical Center, Durham, NC, 27705, USA; Duke-UNC Brain Imaging and Analysis Center, Duke University, 40 Duke Medicine Circle, Durham, NC, USA
| | - Iris Lange
- Department of Psychiatry and Psychology, School for Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, Duboisdomein 30, 6229 GT, Maastricht, the Netherlands
| | - Philip C Burton
- Department of Psychology, University of Minnesota, 75 E River Rd, Minneapolis, MN, 55455, USA
| | - Miquel Angel Fullana
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Campus Casanova, Casanova, 143, 08036, Barcelona, Spain; Adult Psychiatry and Psychology Department, Institute of Neurosciences, Hospital Clínic, Casanovas 143, 08036, Barcelona, Spain
| | - Joaquim Radua
- Adult Psychiatry and Psychology Department, Institute of Neurosciences, Hospital Clínic, Casanovas 143, 08036, Barcelona, Spain; Early Psychosis: Interventions and Clinical-detection (EPIC) Laboratory, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, UK; Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, 171 77, Stockholm, Sweden
| | - Shmuel Lissek
- Department of Psychology, University of Minnesota, 75 E River Rd, Minneapolis, MN, 55455, USA.
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Farré‐Colomés À, Gerhardt S, Luderer M, Sobanski E, Kiefer F, Vollstädt‐Klein S. Common and distinct neural connectivity in attention‐deficit/hyperactivity disorder and alcohol use disorder studied using resting‐state functional magnetic resonance imaging. Alcohol Clin Exp Res 2021; 45:948-960. [DOI: 10.1111/acer.14593] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 02/10/2021] [Accepted: 03/02/2021] [Indexed: 12/11/2022]
Affiliation(s)
- Àlvar Farré‐Colomés
- Department of Addictive Behavior and Addiction Medicine Central Institute of Mental Health Medical Faculty Mannheim University of Heidelberg Mannheim Germany
| | - Sarah Gerhardt
- Department of Addictive Behavior and Addiction Medicine Central Institute of Mental Health Medical Faculty Mannheim University of Heidelberg Mannheim Germany
| | - Mathias Luderer
- Department of Psychiatry Psychosomatic Medicine and Psychotherapy University Hospital Goethe University Frankfurt Germany
| | - Esther Sobanski
- Department of Psychiatry and Psychotherapy Central Institute of Mental Health Medical Faculty Mannheim University of Heidelberg Mannheim Germany
- Department of Child and Adolescent Psychiatry University Medical Center Mainz Mainz Germany
| | - Falk Kiefer
- Department of Addictive Behavior and Addiction Medicine Central Institute of Mental Health Medical Faculty Mannheim University of Heidelberg Mannheim Germany
- Mannheim Center for Translational Neurosciences (MCTN) Medical Faculty Mannheim University of Heidelberg Mannheim Germany
- Feuerlein Center on Translational Addiction Medicine University of Heidelberg Heidelberg Germany
| | - Sabine Vollstädt‐Klein
- Department of Addictive Behavior and Addiction Medicine Central Institute of Mental Health Medical Faculty Mannheim University of Heidelberg Mannheim Germany
- Mannheim Center for Translational Neurosciences (MCTN) Medical Faculty Mannheim University of Heidelberg Mannheim Germany
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Yu X, Sonuga-Barke E. Childhood ADHD and Delayed Reinforcement: A Direct Comparison of Performance on Hypothetical and Real-Time Delay Tasks. J Atten Disord 2020; 24:810-818. [PMID: 27469395 DOI: 10.1177/1087054716661231] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Objective: Individuals with ADHD have been shown to prefer smaller sooner over larger later rewards. This has been explained in terms of abnormally steeper discounting of the value of delayed reinforcers. Evidence for this comes from different experimental paradigms. In some, participants experience delay in the laboratory (real-time delay tasks; R-TD), in others they imagine the delay to reinforcers (hypothetical delay tasks; HD). Method: We directly contrasted the performance of 7- to 12-year-old children with ADHD (n = 23) and matched controls (n = 23) on R-TD and HD tasks with monetary rewards. Results: Children with ADHD displayed steeper temporal discounting on the R-TD, but not the HD tasks. Conclusion: These findings suggest that the experience of waiting prior to the delivery of rewards is an important determinant of heightened temporal discounting in ADHD-a finding consistent with models that emphasize the aversive nature of delay for children.
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Affiliation(s)
- Xue Yu
- Beijing Normal University, China
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Chen Z, Guo Y, Feng T. Neuroanatomical correlates of time perspective: A voxel-based morphometry study. Behav Brain Res 2018; 339:255-260. [DOI: 10.1016/j.bbr.2017.11.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2017] [Revised: 09/28/2017] [Accepted: 11/03/2017] [Indexed: 11/28/2022]
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Fujioka T, Ross B. Beta-band oscillations during passive listening to metronome sounds reflect improved timing representation after short-term musical training in healthy older adults. Eur J Neurosci 2017; 46:2339-2354. [DOI: 10.1111/ejn.13693] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2017] [Revised: 08/21/2017] [Accepted: 08/29/2017] [Indexed: 11/29/2022]
Affiliation(s)
- Takako Fujioka
- Center for Computer Research in Music and Acoustics; Department of Music; Stanford University; 660 Lomita Ct. Stanford CA 94305 USA
- Stanford Neurosciences Institute; Stanford University; Stanford CA USA
| | - Bernhard Ross
- Rotman Research Institute; Baycrest Centre; Toronto ON Canada
- Department of Medical Biophysics; University of Toronto; Toronto ON Canada
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