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Jia X, Wang J, Jiang W, Kong Z, Deng H, Lai W, Ye C, Guan F, Li P, Zhao M, Yang M. Common gray matter loss in the frontal cortex in patients with methamphetamine-associated psychosis and schizophrenia. Neuroimage Clin 2022; 36:103259. [PMID: 36510408 PMCID: PMC9668661 DOI: 10.1016/j.nicl.2022.103259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 10/08/2022] [Accepted: 11/02/2022] [Indexed: 11/08/2022]
Abstract
BACKGROUND AND HYPOTHESIS Methamphetamine (MA)-associated psychosis has become a public concern. However, its mechanism is not clear. Investigating similarities and differences between MA-associated psychosis and schizophrenia in brain alterations would be informative for neuropathology. STUDY DESIGN This study compared gray matter volumes of the brain across four participant groups: healthy controls (HC, n = 53), MA users without psychosis (MA, n = 22), patients with MA-associated psychosis (MAP, n = 34) and patients with schizophrenia (SCZ, n = 33). Clinical predictors of brain alterations, as well as association of brain alterations with psychotic symptoms and attention impairment were further investigated. STUDY RESULTS Compared with the HC, the MAP and the SCZ showed similar gray matter reductions in the frontal cortex, particularly in prefrontal areas. Moreover, a stepwise extension of gray matter reductions was exhibited across the MA - MAP - SCZ. Duration of abstinence was associated with regional volumetric recovery in the MAP, while this amendment in brain morphometry was not accompanied with symptom's remission. Illness duration of psychosis was among the predictive factors of regional gray matter reductions in both psychotic groups. Volume reductions were found to be associated with attention impairment in the SCZ, while this association was reversed in the MAP in frontal cortex. CONCLUSIONS This study suggested MA-associated psychosis and schizophrenia had common neuropathology in cognitive-related frontal cortices. A continuum of neuropathology between MA use and schizophrenia was tentatively implicated. Illness progressions and glial repairments could both play roles in neuropathological changes in MA-associated psychosis.
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Affiliation(s)
- Xiaojian Jia
- Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen 518020, China
| | - Jianhong Wang
- Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen 518020, China
| | - Wentao Jiang
- Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen 518020, China
| | - Zhi Kong
- Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen 518020, China
| | - Huan Deng
- School of International Education, Beijing University of Chemical Technology, Beijing 100029, China
| | - Wentao Lai
- Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen 518020, China
| | - Caihong Ye
- Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen 518020, China
| | - Fen Guan
- Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen 518020, China
| | - Peng Li
- Peking University Sixth Hospital, Peking University, Beijing 100191, China
| | - Min Zhao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Mei Yang
- Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen 518020, China.
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2
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Zhong J, Wu H, Wu F, He H, Zhang Z, Huang J, Cao P, Fan N. Abnormal fractional Amplitude of Low-Frequency Fluctuation in chronic ketamine users. Psychiatry Res Neuroimaging 2022; 326:111536. [PMID: 36067548 DOI: 10.1016/j.pscychresns.2022.111536] [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: 12/17/2021] [Revised: 08/05/2022] [Accepted: 08/25/2022] [Indexed: 01/10/2023]
Abstract
BACKGROUND Ketamine has become a major substance of abuse worldwide. Nevertheless, The long-term effects of ketamine use on intrinsic spontaneous neural activity remain unknown. OBJECTIVES In the present study, rs-fMRI was used to explore whether chronic ketamine use changes the intrinsic spontaneous neural activity, and whether the intrinsic spontaneous neural activity changes in chronic ketamine users(CKUs) are associated with cognitive impairments observed in chronic ketamine users. METHODS 28 CKUs and 30 healthy controls(HC) were enrolled. The fractional amplitude of low-frequency fluctuations (fALFF) was measured to evaluate the intrinsic spontaneous neural activity in multiple brain regions. Cognitive alterations were assessed using MATRICS Consensus Cognitive Battery (MCCB). RESULTS CKUs showed higher fALFF in the right parahippocampal gyrus(PHG), right anterior cingulate cortex(ACC), left cerebellar vermis, left posterior cingulate cortex(PCC), bilateral caudate, and lower fALFF in the right middle occipital gyrus(MOG), left cuneus, right precuneus. The fALFF in the right PHG, left cerebellar vermis, bilateral caudate, right ACC of CKUs presented a negative correlation with the average quantity of ketamine use/day(g) and estimated total ketamine consumption. The fALFF in left PCC had a negative correlation with the average quantity of ketamine use/day(g). Speed of processing on MCCB presented a negative correlation with the fALFF in the right MOG. CONCLUSION Our study found abnormal fALFF in multiple brain areas in CKUs, which indicated the changes of intrinsic spontaneous neural activity in multiple brain areas. The changes of fALFF were associated with the severity of ketamine use and cognitive impairment in CKUs.
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Affiliation(s)
- Jun Zhong
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), 36 Mingxin Road, Liwan District, Guangzhou, Guangdong Province, 510370, China
| | - Huawang Wu
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), 36 Mingxin Road, Liwan District, Guangzhou, Guangdong Province, 510370, China
| | - Fengchun Wu
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), 36 Mingxin Road, Liwan District, Guangzhou, Guangdong Province, 510370, China
| | - Hongbo He
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), 36 Mingxin Road, Liwan District, Guangzhou, Guangdong Province, 510370, China
| | - Zhaohua Zhang
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), 36 Mingxin Road, Liwan District, Guangzhou, Guangdong Province, 510370, China
| | - Jiaxin Huang
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), 36 Mingxin Road, Liwan District, Guangzhou, Guangdong Province, 510370, China
| | - Penghui Cao
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), 36 Mingxin Road, Liwan District, Guangzhou, Guangdong Province, 510370, China
| | - Ni Fan
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), 36 Mingxin Road, Liwan District, Guangzhou, Guangdong Province, 510370, China.
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3
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Zhou Y, Tang J, Sun Y, Yang WFZ, Ma Y, Wu Q, Chen S, Wang Q, Hao Y, Wang Y, Li M, Liu T, Liao Y. A brainnetome atlas-based methamphetamine dependence identification using neighborhood component analysis and machine learning on functional MRI data. Front Cell Neurosci 2022; 16:958437. [PMID: 36238830 PMCID: PMC9550874 DOI: 10.3389/fncel.2022.958437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 09/06/2022] [Indexed: 11/13/2022] Open
Abstract
Addiction to methamphetamine (MA) is a major public health concern. Developing a predictive model that can classify and characterize the brain-based biomarkers predicting MA addicts may directly lead to improved treatment outcomes. In the current study, we applied the support vector machine (SVM)-based classification method to resting-state functional magnetic resonance imaging (rs-fMRI) data obtained from individuals with methamphetamine use disorder (MUD) and healthy controls (HCs) to identify brain-based features predictive of MUD. Brain connectivity analyses were conducted for 36 individuals with MUD as well as 37 HCs based on the brainnetome atlas, and the neighborhood component analysis was applied for feature selection. Eighteen most relevant features were screened out and fed into the SVM to classify the data. The classifier was able to differentiate individuals with MUD from HCs with a high prediction accuracy, sensitivity, specificity, and AUC of 88.00, 86.84, 89.19, and 0.94, respectively. The top six discriminative features associated with changes in the functional activity of key nodes in the default mode network (DMN), all the remaining discriminative features are related to the thalamic connections within the cortico-striato-thalamo-cortical (CSTC) loop. In addition, the functional connectivity (FC) between the bilateral inferior parietal lobule (IPL) and right cingulate gyrus (CG) was significantly correlated with the duration of methamphetamine use. The results of this study not only indicated that MUD-related FC alterations were predictive of group membership, but also suggested that machine learning techniques could be used for the identification of MUD-related imaging biomarkers.
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Affiliation(s)
- Yanan Zhou
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Department of Psychiatry, Brain Hospital of Hunan Province (The Second People's Hospital of Hunan Province), Changsha, China
| | - Jingsong Tang
- Department of Psychiatry, School of Medicine, Sir Run-Run Shaw Hospital, Zhejiang University, Hangzhou, China
| | - Yunkai Sun
- Department of Psychiatry, School of Medicine, Sir Run-Run Shaw Hospital, Zhejiang University, Hangzhou, China
| | - Winson Fu Zun Yang
- Department of Psychological Sciences, College of Arts and Sciences, Texas Tech University, Lubbock, TX, United States
| | - Yuejiao Ma
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Qiuxia Wu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Shubao Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Qianjin Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yuzhu Hao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yunfei Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Manyun Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Tieqiao Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- *Correspondence: Tieqiao Liu
| | - Yanhui Liao
- Department of Psychiatry, School of Medicine, Sir Run-Run Shaw Hospital, Zhejiang University, Hangzhou, China
- Yanhui Liao
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Chai WJ, Abd Hamid AI, Omar H, Abdul Rahman MR, Fitzrol DN, Idris Z, Ghani ARI, Wan Mohamad WNA, Mustafar F, Hanafi MH, Kandasamy R, Abdullah MZ, Amaruchkul K, Valdes-Sosa PA, Bringas-Vega ML, Biswal B, Songsiri J, Yaacob H, Ibrahim H, Sumari P, Noh NA, Musa KI, Ahmad AH, Azman A, Jamir Singh PS, Othman A, Abdullah JM. Neural alterations in working memory of mild-moderate TBI: An fMRI study in Malaysia. J Neurosci Res 2022; 100:915-932. [PMID: 35194817 DOI: 10.1002/jnr.25023] [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: 12/01/2020] [Revised: 10/10/2021] [Accepted: 12/31/2021] [Indexed: 02/05/2023]
Abstract
Working memory (WM) encompasses crucial cognitive processes or abilities to retain and manipulate temporary information for immediate execution of complex cognitive tasks in daily functioning such as reasoning and decision-making. The WM of individuals sustaining traumatic brain injury (TBI) was commonly compromised, especially in the domain of WM. The current study investigated the brain responses of WM in a group of participants with mild-moderate TBI compared to their healthy counterparts employing functional magnetic resonance imaging. All consented participants (healthy: n = 26 and TBI: n = 15) performed two variations of the n-back WM task with four load conditions (0-, 1-, 2-, and 3-back). The respective within-group effects showed a right hemisphere-dominance activation and slower reaction in performance for the TBI group. Random-effects analysis revealed activation difference between the two groups in the right occipital lobe in the guided n-back with cues, and in the bilateral occipital lobe, superior parietal region, and cingulate cortices in the n-back without cues. The left middle frontal gyrus was implicated in the load-dependent processing of WM in both groups. Further group analysis identified that the notable activation changes in the frontal gyri and anterior cingulate cortex are according to low and high loads. Though relatively smaller in scale, this study was eminent as it clarified the neural alterations in WM in the mild-moderate TBI group compared to healthy controls. It confirmed the robustness of the phenomenon in TBI with the reproducibility of the results in a heterogeneous non-Western sample.
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Affiliation(s)
- Wen Jia Chai
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Aini Ismafairus Abd Hamid
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Hazim Omar
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Muhammad Riddha Abdul Rahman
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,School of Medical Imaging, Faculty of Health Sciences, Universiti Sultan Zainal Abidin, Kuala Nerus, Malaysia
| | - Diana Noma Fitzrol
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Zamzuri Idris
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Abdul Rahman Izaini Ghani
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Wan Nor Azlen Wan Mohamad
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Faiz Mustafar
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Muhammad Hafiz Hanafi
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | | | - Mohd Zaid Abdullah
- School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Malaysia
| | - Kannapha Amaruchkul
- Graduate School of Applied Statistics, National Institute of Development Administration (NIDA), Bangkok, Thailand
| | - Pedro A Valdes-Sosa
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,The Cuban Neurosciences Center, La Habana, Cuba
| | - Maria L Bringas-Vega
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,The Cuban Neurosciences Center, La Habana, Cuba
| | - Bharat Biswal
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA
| | - Jitkomut Songsiri
- EE410 Control Systems Laboratory, Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand
| | - Hamwira Yaacob
- Department of Computer Science, Kulliyyah of Information and Communication Technology, Kuala Lumpur, International Islamic University Malaysia, Kuala Lumpur, Malaysia
| | - Haidi Ibrahim
- Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Malaysia
| | - Putra Sumari
- School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia
| | - Nor Azila Noh
- Department of Medical Science 1, Faculty of Medicine and Health Sciences, Universiti Sains Islam Malaysia, Nilai, Malaysia
| | - Kamarul Imran Musa
- Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Asma Hayati Ahmad
- Department of Physiology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Azlinda Azman
- School of Medical Imaging, Faculty of Health Sciences, Universiti Sultan Zainal Abidin, Kuala Nerus, Malaysia.,School of Social Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia
| | | | - Azizah Othman
- Department of Psychiatry, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Jafri Malin Abdullah
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia.,Hospital Universiti Sains Malaysia, Universiti Sains Malaysia, Kota Bharu, Malaysia
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5
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Nie L, Wen X, Luo W, Ju T, Ren A, Wu B, Li J, Hu J. Disruption of regional homogeneity in the brains of chronic methamphetamine users. Brain Imaging Behav 2022; 16:1605-1613. [PMID: 35175550 DOI: 10.1007/s11682-022-00637-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/12/2022] [Indexed: 02/08/2023]
Abstract
Previous studies have reported evidence supporting structural and functional alterations in the brains of methamphetamine (MA) users. The aim of the present study was to extend current knowledge regarding brain function(s) in MA users by examining regional homogeneity (ReHo). Chronic MA users (51 male, 46 female), who were undergoing supervised abstinence for 12 to 621 days, and 79 healthy controls (43 male, 36 female) underwent resting-state functional brain magnetic resonance imaging. Voxel-wise whole-brain scale group differences in ReHo were examined. The mean ReHo values of significant clusters were extracted, and linear regression was used to identify factors that contributed to these mean ReHo values. MA users exhibited lower ReHo values in the left orbital part of the inferior frontal gyrus extending to the left insula and left temporal pole, left amygdala, and left fusiform gyrus. MA users also exhibited greater ReHo values in the bilateral pre- and postcentral gyri and right cerebellum. Characteristics of MA use, including duration, duration of abstinence from MA, and age at onset of MA use, demonstrated no reliable contribution to ReHo of the significant clusters. Findings of the present study demonstrated that chronic MA use was associated with regional specific disruption of ReHo, which is relatively independent of structural and functional alterations and, apparently, does not recover after relatively long-term abstinence. This disruption may underlie overall neurocognitive deficits in MA users, which is difficult to recover.
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Affiliation(s)
- Lili Nie
- School of Psychology, Liaoning Normal University, Dalian, 116029, China
| | - Xiantao Wen
- Sichuan Provincial Compulsory Drug Addiction Treatment Agency for Males, Ziyang, China
| | - Wei Luo
- Sichuan Provincial Compulsory Drug Addiction Treatment Agency for Females, Deyang, China
| | - Tao Ju
- Hospital of Sichuan Provincial Compulsory Drug Addiction Treatment Agency for Females, Deyang, China
| | - Anlian Ren
- Sichuan Provincial Compulsory Drug Addiction Treatment Agency for Males, Ziyang, China
| | - Binbin Wu
- Hospital of Sichuan Provincial Compulsory Drug Addiction Treatment Agency for Females, Deyang, China
| | - Jing Li
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, 610041, China.
| | - Jinsheng Hu
- School of Psychology, Liaoning Normal University, Dalian, 116029, China.
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6
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Qi Z, Wang J, Gong J, Su T, Fu S, Huang L, Wang Y. Common and specific patterns of functional and structural brain alterations in schizophrenia and bipolar disorder: a multimodal voxel-based meta-analysis. J Psychiatry Neurosci 2022; 47:E32-E47. [PMID: 35105667 PMCID: PMC8812718 DOI: 10.1503/jpn.210111] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 10/12/2021] [Accepted: 11/16/2021] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Schizophrenia and bipolar disorder have been linked to alterations in the functional activity and grey matter volume of some brain areas, reflected in impaired regional homogeneity and aberrant voxel-based morphometry. However, because of variable findings and methods used across studies, identifying patterns of brain alteration in schizophrenia and bipolar disorder has been difficult. METHODS We conducted a meta-analysis of differences in regional homogeneity and voxel-based morphometry between patients and healthy controls for schizophrenia and bipolar disorder separately, using seed-based d mapping. RESULTS We included 45 publications on regional homogeneity (26 in schizophrenia and 19 in bipolar disorder) and 190 publications on voxel-based morphometry (120 in schizophrenia and 70 in bipolar disorder). Patients with schizophrenia showed increased regional homogeneity in the frontal cortex and striatum and the supplementary motor area; they showed decreased regional homogeneity in the insula, primary sensory cortex (visual and auditory cortices) and sensorimotor cortex. Patients with bipolar disorder showed increased regional homogeneity in the frontal cortex and striatum; they showed decreased regional homogeneity in the insula. Patients with schizophrenia showed decreased grey matter volume in the superior temporal gyrus, inferior frontal gyrus, cingulate cortex and cerebellum. Patients with bipolar disorder showed decreased grey matter volume in the insula, cingulate cortex, frontal cortex and thalamus. Overlap analysis showed that patients with schizophrenia displayed decreased regional homogeneity and grey matter volume in the left insula and left superior temporal gyrus; patients with bipolar disorder displayed decreased regional homogeneity and grey matter volume in the left insula. LIMITATIONS The small sample size for our subgroup analysis (unmedicated versus medicated patients and substantial heterogeneity in the results for some regions could limit the interpretability and generalizability of the results. CONCLUSION Patients with schizophrenia and bipolar disorder shared a common pattern of regional functional and structural alterations in the insula and frontal cortex. Patients with schizophrenia showed more widespread functional and structural impairment, most prominently in the primary sensory motor areas.
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Affiliation(s)
| | - Junjing Wang
- From the Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China (Qi, Su, Fu, Huang, Y. Wang); the Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China (Qi, Su, Fu, Huang, Y. Wang); the Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, China (J. Wang); and the Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (Gong)
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7
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Du Y, Yang W, Zhang J, Liu J. Changes in ALFF and ReHo values in methamphetamine abstinent individuals based on the Harvard-Oxford atlas: A longitudinal resting-state fMRI study. Addict Biol 2022; 27:e13080. [PMID: 34427375 PMCID: PMC9286454 DOI: 10.1111/adb.13080] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 05/24/2021] [Accepted: 07/14/2021] [Indexed: 01/10/2023]
Abstract
Methamphetamine (MA) abuse has become a global public health problem due to damage to various systems throughout the body, especially the central nervous system. However, the differences in resting‐state brain function between short‐term and long‐term abstinence, the pros and cons of treatments, and the relationship between resting‐state brain function and behavioral tests are unknown. Sixty‐three MA abstinent individuals were followed up for nearly 1 year and treated with three different methods. The amplitude of low‐frequency fluctuation (ALFF) and regional homogeneity (ReHo) based on the Harvard‐Oxford atlas (HOA) were measured by resting‐state functional magnetic resonance imaging (fMRI). Impulsivity was evaluated by the Barratt Impulsivity Scale‐11 (BIS‐11). Brain regions with significant increases in ALFF and ReHo values in the long‐term abstinent group compared to the short‐term abstinent group were around the right frontal pole (McKetin et al., 2012, https://doi.org/10.1111/j.1360-0443.2012.03933.x) and right middle frontal gyrus (Wang et al., 2015, https://doi.org/10.1371/journal.pone.0133431). There were no significant differences among the three groups that experienced long‐term abstinence. The changes in ALFF and ReHo in the right middle frontal gyrus were significantly associated with BIS total scores, BIS attention scores, and BIS nonplanning scores. The right middle frontal gyrus is a critical region in MA long‐term abstinent individuals exposed to therapeutic intervention, and this region may be useful, when combined with BIS‐11, as a potential biomarker to identify the effect of abstinence with therapeutic intervention in MA individuals.
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Affiliation(s)
- Yanyao Du
- Department of Radiology Second Xiangya Hospital of Central South University Changsha China
| | - Wenhan Yang
- Department of Radiology Second Xiangya Hospital of Central South University Changsha China
| | - Jun Zhang
- Department of Detoxification Treatment Technology Hunan Judicial Police Vocational College Changsha China
| | - Jun Liu
- Department of Radiology Second Xiangya Hospital of Central South University Changsha China
- Clinical Research Center for Medical Imaging in Hunan Province Changsha China
- Department of Radiology Quality Control Center Changsha China
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8
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Yang M, Jia X, Zhou H, Ren P, Deng H, Kong Z, Xie C, Hu W, Jiang W, Lai W, Zhang B, Zhao M, Liu T. Brain dysfunction of methamphetamine-associated psychosis in resting state: Approaching schizophrenia and critical role of right superior temporal deficit. Addict Biol 2021; 26:e13044. [PMID: 33957703 DOI: 10.1111/adb.13044] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 03/05/2021] [Accepted: 03/31/2021] [Indexed: 01/10/2023]
Abstract
Methamphetamine (MA)-associated psychosis (MAP) is highly debilitating and common among individuals who use the drug, yet the underlying neural mechanism is not clear. This study compared brain functions between patients with MAP and those with schizophrenia during resting state and investigated the effect of brain alteration on the association between MA use and psychosis in patients with MAP. Three groups, including 24 patients with MAP, 17 with schizophrenia in first-episode (SCZ) and 31 healthy controls (HCs), were included after receiving a resting-state functional MRI scan. The severity of psychosis was assessed with Positive and Negative Syndrome Scale (PANSS). Imaging data were analysed using regional homogeneity (ReHo) to measure individual's brain function. Compared with the HC subjects, the MAP and SCZ groups had significantly lower ReHo in the cortical regions including left postcentral cortex, right superior temporal gyrus and right rolandic operculum, while had higher ReHo in the left putamen, with brain dysfunctions being more pronounced in the SCZ group. Among the MAP subjects, a mediating effect of ReHo in the right superior temporal gyrus was found on the association between MA use frequency and PANSS positive score. MAP and schizophrenia had a common trend of brain alteration, with the dysfunction being more pronounced in schizophrenia. This finding implicated that MAP might be a condition with neuropathology approaching schizophrenia. The observed critical role of right superior temporal deficit between MA use and psychosis proposed a potential target for interventions.
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Affiliation(s)
- Mei Yang
- Shenzhen Mental Health Center Shenzhen Kangning Hospital Shenzhen China
| | - Xiaojian Jia
- Shenzhen Mental Health Center Shenzhen Kangning Hospital Shenzhen China
| | - Hongying Zhou
- Shenzhen Mental Health Center Shenzhen Kangning Hospital Shenzhen China
- School of Mental Health (Research Institute of Mental Health) Jining Medical University Jining China
| | - Ping Ren
- Shenzhen Mental Health Center Shenzhen Kangning Hospital Shenzhen China
| | - Huan Deng
- School of International Education Beijing University of Chemical Technology Beijing China
| | - Zhi Kong
- Shenzhen Mental Health Center Shenzhen Kangning Hospital Shenzhen China
| | - Chunyu Xie
- Shenzhen Mental Health Center Shenzhen Kangning Hospital Shenzhen China
| | - Wenjun Hu
- Shenzhen Mental Health Center Shenzhen Kangning Hospital Shenzhen China
| | - Wentao Jiang
- Shenzhen Mental Health Center Shenzhen Kangning Hospital Shenzhen China
| | - Wentao Lai
- Shenzhen Mental Health Center Shenzhen Kangning Hospital Shenzhen China
| | - Bin Zhang
- Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital) Guangzhou China
| | - Min Zhao
- Shanghai Mental Health Center Shanghai Jiao Tong University School of Medicine Shanghai China
| | - Tiebang Liu
- Shenzhen Mental Health Center Shenzhen Kangning Hospital Shenzhen China
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Altered patterns of fractional amplitude of low-frequency fluctuation and regional homogeneity in abstinent methamphetamine-dependent users. Sci Rep 2021; 11:7705. [PMID: 33833282 PMCID: PMC8032776 DOI: 10.1038/s41598-021-87185-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 03/22/2021] [Indexed: 02/01/2023] Open
Abstract
Methamphetamine (MA) could induce functional and structural brain alterations in dependent subjects. However, few studies have investigated resting-state activity in methamphetamine-dependent subjects (MADs). We aimed to investigate alterations of brain activity during resting-state in MADs using fractional amplitude of low-frequency fluctuation (fALFF) and regional homogeneity (ReHo). We analyzed fALFF and ReHo between MADs (n = 70) and healthy controls (HCs) (n = 84) and performed regression analysis using MA use variables. Compared to HCs, abstinent MADs showed increased fALFF and ReHo values in the bilateral striatum, decreased fALFF in the left inferior frontal gyrus, and decreased ReHo in the bilateral anterior cingulate cortex, sensorimotor cortex, and left precuneus. We also observed the fALFF values of bilateral striatum were positively correlated with the age of first MA use, and negatively correlated with the duration of MA use. The fALFF value of right striatum was also positively correlated with the duration of abstinence. The alterations of spontaneous cerebral activity in abstinent MADs may help us probe into the neurological pathophysiology underlying MA-related dysfunction and recovery. Since MADs with higher fALFF in the right striatum had shorter MA use and longer abstinence, the increased fALFF in the right striatum might implicate early recovery during abstinence.
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Yan C, Yang X, Yang R, Yang W, Luo J, Tang F, Huang S, Liu J. Treatment Response Prediction and Individualized Identification of Short-Term Abstinence Methamphetamine Dependence Using Brain Graph Metrics. Front Psychiatry 2021; 12:583950. [PMID: 33746790 PMCID: PMC7965948 DOI: 10.3389/fpsyt.2021.583950] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 02/01/2021] [Indexed: 01/21/2023] Open
Abstract
Background: The abuse of methamphetamine (MA) worldwide has gained international attention as the most rapidly growing illicit drug problem. The classification and treatment response prediction of MA addicts are thereby paramount, in order for effective treatments to be more targeted to individuals. However, there has been limited progress. Methods: In the present study, 43 MA-dependent participants and 38 age- and gender-matched healthy controls were enrolled, and their resting-state functional magnetic resonance imaging data were collected. MA-dependent participants who showed 50% reduction in craving were defined as responders to treatment. The present study used the machine learning method, which is a support vector machine (SVM), to detect the most relevant features for discriminating and predicting the treatment response for MA-dependent participants based on the features extracted from the functional graph metrics. Results: A classifier was able to differentiate MA-dependent subjects from normal controls, with a cross-validated prediction accuracy, sensitivity, and specificity of 73.2% [95% confidence interval (CI) = 71.23-74.17%), 66.05% (95% CI = 63.06-69.04%), and 80.35% (95% CI = 77.77-82.93%), respectively, at the individual level. The most accurate combination of classifier features included the nodal efficiency in the right middle temporal gyrus and the community index in the left precentral gyrus and cuneus. Between these two, the community index in the left precentral gyrus had the highest importance. In addition, the classification performance of the other classifier used to predict the treatment response of MA-dependent subjects had an accuracy, sensitivity, and specificity of 71.2% (95% CI = 69.28-73.12%), 86.75% (95% CI = 84.48-88.92%), and 55.65% (95% CI = 52.61-58.79%), respectively, at the individual level. Furthermore, the most accurate combination of classifier features included the nodal clustering coefficient in the right orbital part of the superior frontal gyrus, the nodal local efficiency in the right orbital part of the superior frontal gyrus, and the right triangular part of the inferior frontal gyrus and right temporal pole of middle temporal gyrus. Among these, the nodal local efficiency in the right temporal pole of the middle temporal gyrus had the highest feature importance. Conclusion: The present study identified the most relevant features of MA addiction and treatment based on SVMs and the features extracted from the graph metrics and provided possible biomarkers to differentiate and predict the treatment response for MA-dependent patients. The brain regions involved in the best combinations should be given close attention during the treatment of MA.
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Affiliation(s)
- Cui Yan
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Xuefei Yang
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Ru Yang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Wenhan Yang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Jing Luo
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Fei Tang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Sihong Huang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Jun Liu
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
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Yuan LQ, Zeng Q, Wang D, Wen XY, Shi Y, Zhu F, Chen SJ, Huang GZ. Neuroimaging mechanisms of high-frequency repetitive transcranial magnetic stimulation for treatment of amnestic mild cognitive impairment: a double-blind randomized sham-controlled trial. Neural Regen Res 2021; 16:707-713. [PMID: 33063732 PMCID: PMC8067941 DOI: 10.4103/1673-5374.295345] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Individuals with amnestic mild cognitive impairment (aMCI) have a high risk of developing Alzheimer’s disease. Although repetitive transcranial magnetic stimulation (rTMS) is considered a potentially effective treatment for cognitive impairment in patients with aMCI, the neuroimaging mechanisms are poorly understood. Therefore, we performed a double-blind randomized sham-controlled trial in which rTMS was applied to the left dorsolateral prefrontal cortex of aMCI patients recruited from a community near the Third Hospital Affiliated to Sun Yat-sen University, China. Twenty-four patients with aMCI were randomly assigned to receive true rTMS (treatment group, n = 12, 6 men and 6 women; age 65.08 ± 4.89 years) or sham stimulation (sham group, n = 12, 5 men and 7 women; age 64.67 ± 4.77 years). rTMS parameters included a stimulation frequency of 10 Hz, stimulation duration of 2 seconds, stimulation interval of 8 seconds, 20 repetitions at 80% of the motor threshold, and 400 pulses per session. rTMS/sham stimulation was performed five times per week over a period of 4 consecutive weeks. Our results showed that compared with baseline, Montreal Cognitive Assessment scores were significantly increased and the value of the amplitude of low-frequency fluctuation (ALFF) was significantly increased at the end of treatment and 1 month after treatment. Compared with the sham group, the ALFF values in the right inferior frontal gyrus, triangular part of the inferior frontal gyrus, right precuneus, left angular gyrus, and right supramarginal gyrus were significantly increased, and the ALFF values in the right superior frontal gyrus were significantly decreased in the treatment group. These findings suggest that high-frequency rTMS can effectively improve cognitive function in aMCI patients and alter spontaneous brain activity in cognitive-related brain areas. This study was approved by the Ethics Committee of Shenzhen Baoan Hospital of Southern Medical University, China (approval No. BYL20190901) on September 3, 2019, and registered in the Chinese Clinical Trials Registry (registration No. ChiCTR1900028180) on December 14, 2019.
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Affiliation(s)
- Li-Qiong Yuan
- Department of Rehabilitation Medicine and Physiotherapy, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong Province, China
| | - Qing Zeng
- Department of Rehabilitation Medicine and Physiotherapy, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong Province, China
| | - Dan Wang
- Department of Rehabilitation Medicine and Physiotherapy, Shenzhen Baoan Hospital of Southern Medical University, Shenzhen, Guangdong Province, China
| | - Xiu-Yun Wen
- Department of Rehabilitation Medicine and Physiotherapy, Shenzhen Baoan Hospital of Southern Medical University, Shenzhen, Guangdong Province, China
| | - Yu Shi
- Department of Rehabilitation Medicine and Physiotherapy, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong Province, China
| | - Fen Zhu
- Department of Rehabilitation Medicine and Physiotherapy, Shenzhen Baoan Hospital of Southern Medical University, Shenzhen, Guangdong Province, China
| | - Shang-Jie Chen
- Department of Rehabilitation Medicine and Physiotherapy, Shenzhen Baoan Hospital of Southern Medical University, Shenzhen, Guangdong Province, China
| | - Guo-Zhi Huang
- Department of Rehabilitation Medicine and Physiotherapy, Zhujiang Hospital of Southern Medical University; Rehabilitation School of Southern Medical University, Guangzhou, Guangdong Province, China
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12
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Risky decision-making in individuals with substance use disorder: A meta-analysis and meta-regression review. Psychopharmacology (Berl) 2020; 237:1893-1908. [PMID: 32363438 DOI: 10.1007/s00213-020-05506-y] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Accepted: 03/10/2020] [Indexed: 01/06/2023]
Abstract
BACKGROUND This review aims to identify whether risky decision-making is increased in substance users, and the impact of substance type, polysubstance use status, abstinence period, and treatment status on risky decision-making. METHODS A literature search with no date restrictions was conducted to identify case-control studies or cross-sectional studies that used behavioral tasks to measure risky decision-making in substance users. A random-effects model was performed. GRADE criteria was used to assess the quality of evidence. RESULTS 52 studies were enrolled. The result showed that the difference in risky decision-making performance between user groups and control groups was significant (SMD = - 0.590; 95%CI = - 0.849 to - 0.330; p < 0.001; I2 = 93.4%; Pheterogeneity < 0.001). Subgroup analysis showed that users in the subgroups of alcohol (p < 0.001), tobacco (p < 0.01), cocaine (p < 0.001), opioid (p < 0.001), mixed group (p < 0.01), adult users (p < 0.001), small sample size (p < 0.001), large sample size (p < 0.01), low education (p < 0.001), high education (p < 0.001), short-abstinence period (p < 0.001), long-abstinence period (p < 0.001), without current polysubstance dependence (p < 0.001), and with treatment (p < 0.001) had increased risky decision-making when compared to the controls. On the other hand, elderly substance users with short-abstinence period showed increased risky decision-making. Moreover, current treatment status and polysubstance use may not influence the level of decision-making in substance users. CONCLUSIONS The results show that substance use is associated with impaired risky decision-making, indicating that interventions targeting risky decision-making in substance users should be developed for relapse prevention and rehabilitation.
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A comparison of regional brain volumes and white matter connectivity in subjects with stimulant induced psychosis versus schizophrenia. Psychopharmacology (Berl) 2019; 236:3385-3399. [PMID: 31230145 DOI: 10.1007/s00213-019-05298-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 06/05/2019] [Indexed: 12/31/2022]
Abstract
RATIONALE Schizophrenia and stimulant-induced psychosis (SIP) represent two different forms of psychotic disorder, with different etiologies. While many of the symptoms of psychosis are common to both disorders, there have been few direct comparisons between these conditions, especially when controlling for stimulant use in individuals with schizophrenia. OBJECTIVES We directly compared both psychotic disorders with a comprehensive battery of clinical, neurocognitive and neuroanatomical measures. This included one group with SIP (and concurrent stimulant dependence) and two groups with schizophrenia (either with or without concurrent stimulant dependence). METHODS Ninety-six participants were recruited from a marginalized urban population, which included 39 with SIP (and concurrent stimulant dependence), 18 with schizophrenia (without stimulant dependence), and 39 with schizophrenia (with concurrent stimulant dependence). All subjects had extensive clinical and neurocognitive evaluations, complemented with structural MRI including diffusion tensor imaging (DTI) sequences to determine regional brain volumes and white matter connectivity. RESULTS Both positive and negative symptoms were greater in the SZ-dependent group than the other two. Neurocognitive function was broadly similar. The structural brain imaging revealed lateralized changes to the left parietal/temporal lobe, in which regional volumes were smaller in the SZ-dependent than the SZ-non-dependent group. DTI analysis indicated extensive decreases in fractional anisotropy, with parallel increases in radial diffusivity, in the SIP group compared to the SZ-dependent group. CONCLUSIONS These findings reveal both similarities and differences between SIP and schizophrenia. Furthermore, schizophrenia with concurrent stimulant dependence may be associated with a different clinical and neuroanatomical profile as compared to schizophrenia alone.
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Chen C, Hsu FC, Li CW, Huang MC. Structural, functional, and neurochemical neuroimaging of methamphetamine-associated psychosis: A systematic review. Psychiatry Res Neuroimaging 2019; 292:23-31. [PMID: 31476712 DOI: 10.1016/j.pscychresns.2019.06.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 06/09/2019] [Accepted: 06/17/2019] [Indexed: 12/16/2022]
Abstract
Methamphetamine is a highly addictive psychostimulant. A subset of methamphetamine users develops methamphetamine-associated psychosis (MAP), which causes poorer prognoses and cognitive function than those with no psychosis (MNP). Comprehensive and integrative summaries of studies utilizing various neuroimaging modalities (structural, functional, and neurochemical) are limited. We conducted a systematic review of literature regarding clinical neuroimaging research published between January 1988 and July 2018 using the PubMed, Web of Science, Scopus, and ScienceDirect databases. Studies comparing the neuroimaging of patients with MAP with healthy controls or patients with MNP or schizophrenia were included to understand the distinct profiles associated with MAP. A total of six structural, three functional, and three neurochemical studies were reviewed. A general trend was identified that showed MAP-related brain alterations were mainly in the frontal lobe (especially the orbitofrontal cortex), striatum, and limbic systems (amygdala and hippocampus). Furthermore, some clinical manifestations, such as the severity of psychotic symptoms and cognitive performance, were correlated with neuroimaging abnormalities. In summary, distinct structural, functional, and neurochemical changes, especially in the frontostriatal circuit and network dynamic systems, play critical roles in the pathophysiology of MAP. Future studies using longitudinal study designs and including individuals with MNP and schizophrenia as controls are warranted.
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Affiliation(s)
- Chi Chen
- Department of Education and Research, Taipei City Hospital Renai Branch, Taipei, Taiwan
| | - Fu-Chun Hsu
- Department of Psychiatry, Mackay Memorial Hospital, Taipei, Taiwan
| | - Chia-Wei Li
- Department of Radiology, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Ming-Chyi Huang
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan; Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taiwan; Psychiatric Research Center, Taipei Medical University Hospital.
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15
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Chiang M, Lombardi D, Du J, Makrum U, Sitthichai R, Harrington A, Shukair N, Zhao M, Fan X. Methamphetamine-associated psychosis: Clinical presentation, biological basis, and treatment options. Hum Psychopharmacol 2019; 34:e2710. [PMID: 31441135 DOI: 10.1002/hup.2710] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Revised: 05/03/2019] [Accepted: 06/27/2019] [Indexed: 12/16/2022]
Abstract
INTRODUCTION Methamphetamine associated psychosis (MAP) represents a mental disorder induced by chronic methamphetamine use in a subset of users. The prevalence of the disorder has increased in several countries in Europe and Asia where methamphetamine use has increased. MAP remains difficult to distinguish from primary psychiatric disorders, especially schizophrenia, creating complications in prescribing treatment plans to patients. DESIGN This narrative review sought to summarize difficulties related to MAP diagnosis and highlight the need for a better treatment model. Current best practices are described and potential novel therapies and future research suggested. RESULTS Results suggest that clear biological and clinical differences appear between patients presenting with MAP and schizophrenia and that there may exist distinct subgroups within MAP itself. MAP-specific treatment studies have been few and have focused on the use of antipsychotic medication. Antipsychotic treatment has been shown to alleviate the psychotic symptoms of MAP but produce debilitating adverse effects and fail to adequately address methamphetamine use in patients. CONCLUSIONS Continued identification of subgroups within the heterogenous MAP population may lead to better diagnosis, treatment, and outcomes for patients. Psychosocial therapies should be explored in addressing the cooccurring substance use and psychosis in the treatment of MAP.
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Affiliation(s)
- Mathew Chiang
- UMass Memorial Health Care, University of Massachusetts Medical School, Worcester, Massachusetts
| | - Domenico Lombardi
- UMass Memorial Health Care, University of Massachusetts Medical School, Worcester, Massachusetts
| | - Jiang Du
- Shanghai Mental Health Center, Shanghai Jiaotong University, Shanghai, China
| | - Ursula Makrum
- Psychiatry, UMass Memorial Health Care, Worcester, Massachusetts
| | - Rangsun Sitthichai
- UMass Memorial Health Care, University of Massachusetts Medical School, Worcester, Massachusetts
| | - Amy Harrington
- UMass Memorial Health Care, University of Massachusetts Medical School, Worcester, Massachusetts
| | - Nawras Shukair
- UMass Memorial Health Care, University of Massachusetts Medical School, Worcester, Massachusetts
| | - Min Zhao
- Shanghai Mental Health Center, Shanghai Jiaotong University, Shanghai, China
| | - Xiaoduo Fan
- UMass Memorial Health Care, University of Massachusetts Medical School, Worcester, Massachusetts
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Qi M, Zhu Y, Zhang L, Wu T, Wang J. The effect of aerobic dance intervention on brain spontaneous activity in older adults with mild cognitive impairment: A resting-state functional MRI study. Exp Ther Med 2018; 17:715-722. [PMID: 30651855 PMCID: PMC6307442 DOI: 10.3892/etm.2018.7006] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Accepted: 11/14/2018] [Indexed: 12/17/2022] Open
Abstract
The current study aimed to evaluate the effect of a specially designed moderate-intensity aerobic dance (SDMIAD) on brain spontaneous activity in older adults with mild cognitive impairment (MCI) using resting-state functional magnetic resonance imaging (RS-fMRI). A total of 38 subjects with MCI were recruited to the current study and were randomized into two groups: Exercise (EG, n=19) and control (CG, n=19). The EG was treated with a SDMIAD and usual care for 3 months. The CG only received usual care. None of the patients were administered medicine that affected cognition during the intervention. The cognitive assessments and RS-fMRI examination were performed on the two groups at recruitment and after 3 months. The cognitive functions were assessed by various neuropsychological tests. The brain spontaneous activity change was assessed using an index, the amplitude of low-frequency fluctuation (ALFF) of fMRI signal. Cognitive assessments demonstrated that EG had significantly improved results in the Mini-Mental State Examination, the Montreal Cognitive Assessment, Wechsler Memory Scale-Revised Logical Memory (WMS-R LM) and the Symbol Digit Modalities Test (all P<0.05), and the difference in changes in WMS-R LM from baseline to 3 months between the EG and the CG was also statistically significant (P<0.05) after 3 months of SDMIAD. The performance of all the cognitive assessments did not demonstrate significant differences in CG. Compared with baseline, EG exhibited significantly increased ALFF in several areas, including the bilateral fronto-temporal, entorhinal, anterior cingulate and parohippocampal cortex after 3 months of SDMIAD (P<0.05); whereas the CG exhibited significantly increased ALFF only in a few areas, including right temporal and posterior cingulate cortex (P<0.05). The SDMIAD may effectively improve the cognitive function in older adults with MCI. RS-fMRI provided a quantitative method for evaluating the effect of aerobic exercise on cognitive function.
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Affiliation(s)
- Ming Qi
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China
| | - Yi Zhu
- Department of Rehabilitation, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China
| | - Ling Zhang
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China
| | - Ting Wu
- Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China
| | - Jie Wang
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, P.R. China
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