1
|
Chen Y, Wang S, Zhang X, Yang Q, Hua M, Li Y, Qin W, Liu F, Liang M. Functional Connectivity-Based Searchlight Multivariate Pattern Analysis for Discriminating Schizophrenia Patients and Predicting Clinical Variables. Schizophr Bull 2024:sbae084. [PMID: 38819252 DOI: 10.1093/schbul/sbae084] [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] [Indexed: 06/01/2024]
Abstract
BACKGROUND Schizophrenia, a multifaceted psychiatric disorder characterized by functional dysconnectivity, poses significant challenges in clinical practice. This study explores the potential of functional connectivity (FC)-based searchlight multivariate pattern analysis (CBS-MVPA) to discriminate between schizophrenia patients and healthy controls while also predicting clinical variables. STUDY DESIGN We enrolled 112 schizophrenia patients and 119 demographically matched healthy controls. Resting-state functional magnetic resonance imaging data were collected, and whole-brain FC subnetworks were constructed. Additionally, clinical assessments and cognitive evaluations yielded a dataset comprising 36 clinical variables. Finally, CBS-MVPA was utilized to identify subnetworks capable of effectively distinguishing between the patient and control groups and predicting clinical scores. STUDY RESULTS The CBS-MVPA approach identified 63 brain subnetworks exhibiting significantly high classification accuracies, ranging from 62.2% to 75.6%, in distinguishing individuals with schizophrenia from healthy controls. Among them, 5 specific subnetworks centered on the dorsolateral superior frontal gyrus, orbital part of inferior frontal gyrus, superior occipital gyrus, hippocampus, and parahippocampal gyrus showed predictive capabilities for clinical variables within the schizophrenia cohort. CONCLUSION This study highlights the potential of CBS-MVPA as a valuable tool for localizing the information related to schizophrenia in terms of brain network abnormalities and capturing the relationship between these abnormalities and clinical variables, and thus, deepens our understanding of the neurological mechanisms of schizophrenia.
Collapse
Affiliation(s)
- Yayuan Chen
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging and Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, China
- School of Medical Imaging, Tianjin Key Laboratory of Functional Imaging and The Province and Ministry Cosponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Medical University, Tianjin, China
| | - Sijia Wang
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging and Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Xi Zhang
- School of Medical Imaging, Tianjin Key Laboratory of Functional Imaging and The Province and Ministry Cosponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Medical University, Tianjin, China
| | - Qingqing Yang
- Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Minghui Hua
- Department of Radiology, Chest Hospital, Tianjin University, Tianjin, China
| | - Yifan Li
- School of Medical Imaging, Tianjin Key Laboratory of Functional Imaging and The Province and Ministry Cosponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Medical University, Tianjin, China
| | - Wen Qin
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging and Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Feng Liu
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging and Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Meng Liang
- School of Medical Imaging, Tianjin Key Laboratory of Functional Imaging and The Province and Ministry Cosponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Medical University, Tianjin, China
| |
Collapse
|
2
|
Zhong M, Liu Z, Wang F, Yang J, Chen E, Lee E, Wu G, Yang J. Effects of long-term antipsychotic medication on brain instability in first-episode schizophrenia patients: a resting-state fMRI study. Front Pharmacol 2024; 15:1387123. [PMID: 38846088 PMCID: PMC11153814 DOI: 10.3389/fphar.2024.1387123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Accepted: 05/02/2024] [Indexed: 06/09/2024] Open
Abstract
Early initiation of antipsychotic treatment plays a crucial role in the management of first-episode schizophrenia (FES) patients, significantly improving their prognosis. However, limited attention has been given to the long-term effects of antipsychotic drug therapy on FES patients. In this research, we examined the changes in abnormal brain regions among FES patients undergoing long-term treatment using a dynamic perspective. A total of 98 participants were included in the data analysis, comprising 48 FES patients, 50 healthy controls, 22 patients completed a follow-up period of more than 6 months with qualified data. We processed resting-state fMRI data to calculate coefficient of variation of fractional amplitude of low-frequency fluctuations (CVfALFF), which reflects the brain regional activity stability. Data analysis was performed at baseline and after long-term treatment. We observed that compared with HCs, patients at baseline showed an elevated CVfALFF in the supramarginal gyrus (SMG), parahippocampal gyrus (PHG), caudate, orbital part of inferior frontal gyrus (IOG), insula, and inferior frontal gyrus (IFG). After long-term treatment, the instability in SMG, PHG, caudate, IOG, insula and inferior IFG have ameliorated. Additionally, there was a positive correlation between the decrease in dfALFF in the SMG and the reduction in the SANS total score following long-term treatment. In conclusion, FES patients exhibit unstable regional activity in widespread brain regions at baseline, which can be ameliorated with long-term treatment. Moreover, the extent of amelioration in SMG instability is associated with the amelioration of negative symptoms.
Collapse
Affiliation(s)
- Maoxing Zhong
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Zhening Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Feiwen Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Jun Yang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Eric Chen
- Department of Psychiatry, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - Edwin Lee
- Department of Psychiatry, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - Guowei Wu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Jie Yang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| |
Collapse
|
3
|
Pilon F, Boisvert M, Potvin S. Losing the chain of thought: A meta-analysis of functional neuroimaging studies using verbal tasks in schizophrenia. J Psychiatr Res 2024; 169:238-246. [PMID: 38048673 DOI: 10.1016/j.jpsychires.2023.11.013] [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: 05/14/2023] [Revised: 10/30/2023] [Accepted: 11/15/2023] [Indexed: 12/06/2023]
Abstract
BACKGROUND Disorganization symptoms are a main feature of schizophrenia, which include illogical and incoherent thinking, circumstantiality, tangentiality and loose associations. As these symptoms entail language deficits, several functional neuroimaging studies have been performed in schizophrenia using verbal tasks, producing somewhat heterogenous results. Hence, we performed a meta-analysis seeking to identify the most reliable neural alterations observed in schizophrenia patients during such tasks. METHODS Web of Sciences, PubMed, and EMBASE were searched for functional neuroimaging studies during verbal tasks (e.g. verbal fluency and semantic processing) in schizophrenia. Out of 795 screened articles, 33 were eligible for this meta-analysis. A coordinated-based meta-analysis was performed with the activation likelihood estimation (ALE) approach, using the cluster-level family-wise error (FWE) correction set at p < 0.05. RESULTS In schizophrenia, hyperactivations were observed in the left inferior frontal gyrus (IFG) and middle frontal gyrus (MFG) and hypoactivations were observed in the right IFG, the precentral gyrus and the left caudate nucleus. Another analysis pooling hyper- and hypoactivations revealed altered activations, firstly, in the left IFG and MFG, secondly, in the left precentral gyrus, IFG and insula, and, thirdly, in the left angular gyrus and precuneus. In the light of these results, not only classic language-related regions are abnormally activated during verbal tasks in schizophrenia, but also brain regions involved in executive functions, autobiographical memory and, unexpectedly, in motor functions. Further functional neuroimaging studies are needed to investigate the role of the striatum in linguistic sequencing in schizophrenia.
Collapse
Affiliation(s)
- Florence Pilon
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Quebec, Canada; Department of Psychiatry and Addiction, Faculty of Medicine, University of Montreal, Montreal, Quebec, Canada
| | - Mélanie Boisvert
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Quebec, Canada; Department of Psychiatry and Addiction, Faculty of Medicine, University of Montreal, Montreal, Quebec, Canada
| | - Stéphane Potvin
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Quebec, Canada; Department of Psychiatry and Addiction, Faculty of Medicine, University of Montreal, Montreal, Quebec, Canada.
| |
Collapse
|
4
|
Patel S, Sharma D, Uniyal A, Gadepalli A, Tiwari V. Recent advancements in biomarker research in schizophrenia: mapping the road from bench to bedside. Metab Brain Dis 2022; 37:2197-2211. [PMID: 35239143 DOI: 10.1007/s11011-022-00926-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 02/04/2022] [Indexed: 10/19/2022]
Abstract
Schizophrenia (SZ) is a severe progressive neurodegenerative as well as disruptive behavior disorder affecting innumerable people throughout the world. The discovery of potential biomarkers in the clinical scenario would lead to the development of effective methods of diagnosis and would provide an understanding of the prognosis of the disease. Moreover, breakthrough inventions for the treatment and prevention of this mysterious disease could evolve as a result of a thorough understanding of the clinical biomarkers. In this review, we have discussed about specific biomarkers of SZ an emphasis has been laid to delineate (1) diagnostic biomarkers like neuroimmune biomarkers, metabolic biomarkers, oligodendrocyte biomarkers and biomarkers of negative and cognitive symptoms, (2) therapeutic biomarkers like various neurotransmitter systems and (3) prognostic biomarkers. All the biomarkers were evaluated in drug-naïve (at least for 4 weeks) patients in order to achieve a clear comparison between schizophrenic patients and healthy controls. Also, an attempt has been made to elucidate the potential genes which serve as predictors and tools for the determination of biomarkers and would ultimately help in the prevention and treatment of this deadly illness.
Collapse
Affiliation(s)
- Shivangi Patel
- Department of Pharmacology, Bombay College of Pharmacy, 400098, Mumbai, India
| | - Dilip Sharma
- Rutgers New Jersey Medical School, 07103, Newark, NJ, United States
| | - Ankit Uniyal
- Department of Pharmaceutical Engineering, Indian Institute of Technology (Banaras Hindu University), 221005, Varanasi, U.P, India
| | - Anagha Gadepalli
- Department of Pharmaceutical Engineering, Indian Institute of Technology (Banaras Hindu University), 221005, Varanasi, U.P, India
| | - Vinod Tiwari
- Department of Pharmaceutical Engineering, Indian Institute of Technology (Banaras Hindu University), 221005, Varanasi, U.P, India.
| |
Collapse
|
5
|
Lee SW, Cha H, Jang TY, Kim E, Song H, Chang Y, Lee SJ. The Neural Correlates of Positive Versus Negative Thought-action Fusion in Healthy Young Adults. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE 2021; 19:628-639. [PMID: 34690118 PMCID: PMC8553530 DOI: 10.9758/cpn.2021.19.4.628] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 11/03/2020] [Accepted: 12/11/2020] [Indexed: 12/02/2022]
Abstract
Objective Thought-action fusion (TAF), one of the most-studied dysfunctional beliefs in obsessive-compulsive disorder, represents an individual’s belief that his/her thoughts directly influence events. TAF belief types are divided into personal thoughts relating to positive (positive TAF) and negative outcomes (negative TAF). However, the neural mechanisms underlying both aspects of the TAF response remain elusive. Methods This functional magnetic resonance imaging study aimed to investigate the neural circuits related to positive and negative TAF and their relationships with psychological measures. Thirty-one healthy male volunteers participated in a modified TAF task wherein they were asked to read the name of a close person embedded in positive statements (PS) or negative statements (NS). Results Conjunction analysis revealed activation of the fusiform and lingual gyri, midcingulate and superior medial frontal gyri, inferior orbitofrontal gyrus, and temporoparietal junction. The NS > PS comparison showed additional activation in the precuneus and medial prefrontal cortex, superior frontal gyrus, insula, globus pallidus, thalamus, and midbrain. Precuneus activity was associated with the TAF score among these areas. Moreover, activity in the inferior orbitofrontal gyrus, insula, superior, middle and medial frontal gyri, globus pallidus, inferior parietal lobule, and precuneus was associated with dimensional obsessive-compulsive scores. In contrast, the PS > NS comparison revealed no significant activation. Conclusion These results suggest that negative TAF, relative to positive TAF, recruits additional regions for self-referential processing, salience, and habitual responding, which may contribute to the activation of the belief that a negative thought increases the probability of that negative outcome.
Collapse
Affiliation(s)
- Sang Won Lee
- Department of Psychiatry, Kyungpook National University Chilgok Hospital, Daegu, Korea.,Departments of Psychiatry, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Hyunsil Cha
- Departments of Medical & Biological Engineering, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Tae Yang Jang
- Departments of Psychiatry, School of Medicine, Kyungpook National University, Daegu, Korea.,Department of Psychiatry, Kyungpook National University Hospital, Daegu, Korea
| | - Eunji Kim
- Departments of Medical & Biological Engineering, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Huijin Song
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea
| | - Yongmin Chang
- Department of Molecular Medicine, School of Medicine, Kyungpook National University, Daegu, Korea.,Department of Radiology, Kyungpook National University Hospital, Daegu, Korea
| | - Seung Jae Lee
- Departments of Psychiatry, School of Medicine, Kyungpook National University, Daegu, Korea.,Department of Psychiatry, Kyungpook National University Hospital, Daegu, Korea
| |
Collapse
|
6
|
Yaple ZA, Tolomeo S, Yu R. Abnormal prediction error processing in schizophrenia and depression. Hum Brain Mapp 2021; 42:3547-3560. [PMID: 33955106 PMCID: PMC8249895 DOI: 10.1002/hbm.25453] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 04/01/2021] [Accepted: 04/11/2021] [Indexed: 11/19/2022] Open
Abstract
To make adaptive decisions under uncertainty, individuals need to actively monitor the discrepancy between expected outcomes and actual outcomes, known as prediction errors. Reward‐based learning deficits have been shown in both depression and schizophrenia patients. For this study, we compiled studies that investigated prediction error processing in depression and schizophrenia patients and performed a series of meta‐analyses. In both groups, positive t‐maps of prediction error tend to yield striatum activity across studies. The analysis of negative t‐maps of prediction error revealed two large clusters within the right superior and inferior frontal lobes in schizophrenia and the medial prefrontal cortex and bilateral insula in depression. The concordant posterior cingulate activity was observed in both patient groups, more prominent in the depression group and absent in the healthy control group. These findings suggest a possible role in dopamine‐rich areas associated with the encoding of prediction errors in depression and schizophrenia.
Collapse
Affiliation(s)
| | - Serenella Tolomeo
- Department of Psychology, National University of Singapore, Singapore
| | - Rongjun Yu
- Department of Management, Hong Kong Baptist University, Hong Kong, China.,Department of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong, China.,Department of Physics, Hong Kong Baptist University, Hong Kong, China
| |
Collapse
|
7
|
Nakamura R, Asami T, Yoshimi A, Kato D, Fujita E, Takaishi M, Abe K, Hattori S, Suda A, Shiozaki K, Kase A, Hirayasu Y, Hishimoto A. Illness management and recovery program induced neuroprotective effects on language network in schizophrenia. Schizophr Res 2021; 230:101-103. [PMID: 32950322 DOI: 10.1016/j.schres.2020.08.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 08/28/2020] [Accepted: 08/29/2020] [Indexed: 11/24/2022]
Affiliation(s)
- Ryota Nakamura
- Psychiatric Center, Yokohama City University Medical Center, 4-57, Urafune-cho, Minami-ku, Yokohama 232-0024, Japan.
| | - Takeshi Asami
- Department of Psychiatry, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa 236-0004, Japan.
| | - Asuka Yoshimi
- Department of Psychiatry, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa 236-0004, Japan
| | - Daiji Kato
- Totsuka Nishiguchi Rindou Clinic, Totsuka-cho, Totsuka-ku, Yokohama, Kanagawa 244-0003, Japan
| | - Emi Fujita
- Yokohama City University Hospital, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa 236-0004, Japan
| | - Masao Takaishi
- Department of Psychiatry, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa 236-0004, Japan
| | - Kie Abe
- Department of Psychiatry, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa 236-0004, Japan
| | - Saki Hattori
- Department of Psychiatry, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa 236-0004, Japan
| | - Akira Suda
- Department of Psychiatry, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa 236-0004, Japan
| | - Kazumasa Shiozaki
- Yokohama Comprehensive Care Continuum, 1735 Karasuyama-cho, Kouhoku-ku, Yokohama, Kanagawa 222-0035, Japan
| | - Akihiko Kase
- Yokohama Maioka Hospital, 3482 Maioka-cho, Totsuka-ku, Yokohama, Kanagawa 244-0813, Japan
| | - Yoshio Hirayasu
- Department of Psychiatry, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa 236-0004, Japan; Hirayasu Hospital, 346 Kyouzuka, Urasoe, Okinawa 901-2553, Japan
| | - Akitoyo Hishimoto
- Department of Psychiatry, Graduate School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa 236-0004, Japan
| |
Collapse
|