1
|
Panikratova YR, Tomyshev AS, Abdullina EG, Rodionov GI, Arkhipov AY, Tikhonov DV, Bozhko OV, Kaleda VG, Strelets VB, Lebedeva IS. Resting-state functional connectivity correlates of brain structural aging in schizophrenia. Eur Arch Psychiatry Clin Neurosci 2024:10.1007/s00406-024-01837-5. [PMID: 38914851 DOI: 10.1007/s00406-024-01837-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 05/27/2024] [Indexed: 06/26/2024]
Abstract
A large body of research has shown that schizophrenia patients demonstrate increased brain structural aging. Although this process may be coupled with aberrant changes in intrinsic functional architecture of the brain, they remain understudied. We hypothesized that there are brain regions whose whole-brain functional connectivity at rest is differently associated with brain structural aging in schizophrenia patients compared to healthy controls. Eighty-four male schizophrenia patients and eighty-six male healthy controls underwent structural MRI and resting-state fMRI. The brain-predicted age difference (b-PAD) was a measure of brain structural aging. Resting-state fMRI was applied to obtain global correlation (GCOR) maps comprising voxelwise values of the strength and sign of functional connectivity of a given voxel with the rest of the brain. Schizophrenia patients had higher b-PAD compared to controls (mean between-group difference + 2.9 years). Greater b-PAD in schizophrenia patients, compared to controls, was associated with lower whole-brain functional connectivity of a region in frontal orbital cortex, inferior frontal gyrus, Heschl's Gyrus, plana temporale and polare, insula, and opercular cortices of the right hemisphere (rFTI). According to post hoc seed-based correlation analysis, decrease of functional connectivity with the posterior cingulate gyrus, left superior temporal cortices, as well as right angular gyrus/superior lateral occipital cortex has mainly driven the results. Lower functional connectivity of the rFTI was related to worse verbal working memory and language production. Our findings demonstrate that well-established frontotemporal functional abnormalities in schizophrenia are related to increased brain structural aging.
Collapse
Affiliation(s)
| | | | | | - Georgiy I Rodionov
- Institute of Higher Nervous Activity and Neurophysiology of Russian Academy of Sciences, Moscow, Russia
| | - Andrey Yu Arkhipov
- Institute of Higher Nervous Activity and Neurophysiology of Russian Academy of Sciences, Moscow, Russia
| | | | | | | | - Valeria B Strelets
- Institute of Higher Nervous Activity and Neurophysiology of Russian Academy of Sciences, Moscow, Russia
| | | |
Collapse
|
2
|
Li H, Zhang W, Song H, Zhuo L, Yao H, Sun H, Liu R, Feng R, Tang C, Lui S. Altered temporal lobe connectivity is associated with psychotic symptoms in drug-naïve adolescent patients with first-episode schizophrenia. Eur Child Adolesc Psychiatry 2024:10.1007/s00787-024-02485-9. [PMID: 38832962 DOI: 10.1007/s00787-024-02485-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Accepted: 05/23/2024] [Indexed: 06/06/2024]
Abstract
Research on individuals with a younger onset age of schizophrenia is important for identifying neurobiological processes derived from the interaction of genes and the environment that lead to the manifestation of schizophrenia. Schizophrenia has long been recognized as a disorder of dysconnectivity, but it is largely unknown how brain connectivity changes are associated with psychotic symptoms. Twenty-one adolescent-onset schizophrenia (AOS) patients and 21 matched healthy controls (HCs) were recruited and underwent resting-state functional magnetic resonance imaging. Regional homogeneity (ReHo) was used to investigate local brain connectivity alterations in AOS. Regions with significant ReHo changes in patients were selected as "seeds" for further functional connectivity (FC) analysis and Granger causality analysis (GCA), and associations of the obtained functional brain measures with psychotic symptoms in patients with AOS were examined. Compared with HCs, AOS patients showed significantly increased ReHo in the right middle temporal gyrus (MTG), which was positively correlated with PANSS-positive scores, PSYRATS-delusion scores and auditory hallucination scores. With the MTG as the seed, lower connectivity with the bilateral postcentral gyrus (PCG) and higher connectivity with the right precuneus were observed in patients. The reduced FC between the right MTG and bilateral PCG was significantly and positively correlated with hallucination scores. GCA indicated decreased Granger causality from the right MTG to the left middle frontal gyrus (MFG) and from the right MFG to the right MTG in AOS patients, but such effects did not significantly associate with psychotic symptoms. Abnormalities in the connectivity within the MTG and its connectivity with other networks were identified and were significantly correlated with hallucination and delusion ratings. This region may be a key neural substrate of psychotic symptoms in AOS.
Collapse
Affiliation(s)
- Hongwei Li
- Department of Radiology, and Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, No. 37 Guoxue Xiang, Chengdu, 610041, China
- Huaxi MR Research Center (HMRRC), West China Hospital, Sichuan University, Chengdu, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
- Department of Radiology, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, China
| | - Wenjing Zhang
- Department of Radiology, and Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, No. 37 Guoxue Xiang, Chengdu, 610041, China
- Huaxi MR Research Center (HMRRC), West China Hospital, Sichuan University, Chengdu, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Hui Song
- Department of Psychiatry, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, China
| | - Lihua Zhuo
- Department of Radiology, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, China
| | - Hongchao Yao
- Department of Radiology, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, China
| | - Hui Sun
- Department of Radiology, and Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, No. 37 Guoxue Xiang, Chengdu, 610041, China
- Huaxi MR Research Center (HMRRC), West China Hospital, Sichuan University, Chengdu, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Ruishan Liu
- Department of Radiology, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, China
| | - Ruohan Feng
- Department of Radiology, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, China
| | - Chungen Tang
- Department of Radiology, The Third Hospital of Mianyang/Sichuan Mental Health Center, Mianyang, China
| | - Su Lui
- Department of Radiology, and Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, No. 37 Guoxue Xiang, Chengdu, 610041, China.
- Huaxi MR Research Center (HMRRC), West China Hospital, Sichuan University, Chengdu, China.
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China.
| |
Collapse
|
3
|
Garcia-Marti G, Escarti MJ, Nacher J, Perez-Rando M, Mane A, Usall J, Berrocoso E, Pomarol-Clotet E, Lopez-Ilundain JM, Cuesta MJ, Rodriguez-Jimenez R, Gonzalez-Pinto A, Mar L, Ibañez A, Roldan A, Janssen J, Parellada M, Amoretti S, Bernardo M, Sanjuan J, Aguilar EJ. Progressive loss of cortical gray matter in first episode psychosis patients with auditory hallucinations. Schizophr Res 2024; 267:534-545. [PMID: 38044223 DOI: 10.1016/j.schres.2023.11.011] [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: 03/28/2023] [Revised: 09/18/2023] [Accepted: 11/26/2023] [Indexed: 12/05/2023]
Abstract
BACKGROUND Previous longitudinal magnetic resonance imaging studies have shown progressive gray matter (GM) reduction during the earliest phases of schizophrenia. It is unknown whether these progressive processes are homogeneous in all groups of patients. One way to obtain more valid findings is to focus on the symptoms. Auditory hallucinations (AHs) are frequent and reliable symptoms of psychosis. The present study aims to analyze whether longitudinal changes in structural abnormalities in cortical regions are related to the presence of AHs and the intensity of psychotic symptoms in a large sample. METHODS A Magnetic Resonance (MR) voxel-based morphometry analysis was applied to a group of 128 first episodes psychosis (FEP) patients (63 patients with AHs and 65 patients without AHs) and 78 matched healthy controls at baseline and at a 2-year follow-up. RESULTS At baseline, FEP patients exhibited significant GM volume reductions in the temporal, frontal and precentral regions. At follow-up, FEP patients exhibited GM volume changes in the temporal, Rolandic, frontal, precentral and insula regions. At baseline, no significant differences were found between FEP patients with and without AHs. At follow-up, while FEP patients with AHs showed less GM volume in temporal and frontal lobes, non-AH FEP patients showed reductions in the frontal, precentral and fusiform areas. PANSS scores showed statistically significant correlations with GM volume reductions at baseline and follow-up. CONCLUSIONS Brain cortical loss in the early phases of psychosis is not associated with potentially transitory AHs; however, brain structural changes may emerge as AHs appear in chronic patients.
Collapse
Affiliation(s)
- Gracian Garcia-Marti
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Biomedical Engineering Unit / Radiology Department, Quirónsalud Hospital, Valencia, Spain; Institute of research of the Clinic Hospital from Valencia (INCLIVA), Valencia, Spain.
| | - Maria J Escarti
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Institute of research of the Clinic Hospital from Valencia (INCLIVA), Valencia, Spain; Unit of Psychiatry, Clinic Hospital Valencia, University of Valencia, Valencia, Spain
| | - Juan Nacher
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Institute of research of the Clinic Hospital from Valencia (INCLIVA), Valencia, Spain; Institute of Biotechnology and Biomedicine (BIOTECMED), Universitat de València, Burjassot, Spain
| | - Marta Perez-Rando
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Institute of research of the Clinic Hospital from Valencia (INCLIVA), Valencia, Spain; Institute of Biotechnology and Biomedicine (BIOTECMED), Universitat de València, Burjassot, Spain
| | - Anna Mane
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Institut de Neuropsiquiatria i Adiccions (INAD), Parc de Salut Mar, Barcelona, Spain; Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain; Department of Medicine and Life Sciences (MELIS). Universitat Pompeu Fabra, Barcelona, Spain
| | - Judith Usall
- Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain; Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Barcelona, Spain
| | - Esther Berrocoso
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Neuropsychopharmacology and Psychobiology Research Group, Department of Neuroscience, Faculty of Medicine, University of Cádiz, Cádiz, Spain; Instituto de Investigación e Innovación Biomédica de Cádiz, INiBICA, Hospital Universitario Puerta del Mar, Cádiz, Spain
| | - Edith Pomarol-Clotet
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - Jose M Lopez-Ilundain
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNa), Pamplona, Spain
| | - Manuel J Cuesta
- Department of Psychiatry, Hospital Universitario de Navarra, Pamplona, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNa), Pamplona, Spain
| | - Roberto Rodriguez-Jimenez
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria Hospital 12 de Octubre, Madrid, Spain; Universidad Complutense de Madrid (UCM), Madrid, Spain
| | - Ana Gonzalez-Pinto
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Bioaraba, Department of Psychiatry, Hospital Universitario de Alava, UPV/EHU, Vitoria, Spain
| | - Lorea Mar
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Bioaraba, Department of Psychiatry, Hospital Universitario de Alava, UPV/EHU, Vitoria, Spain
| | - Angela Ibañez
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Psychiatry, Hospital Universitario Ramón y Cajal, IRYCIS, Universidad de Alcalá, Madrid, Spain
| | - Alexandra Roldan
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Psychiatry Department, Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Joost Janssen
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; School of Medicine, Universidad Complutense, Madrid, Spain
| | - Mara Parellada
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; School of Medicine, Universidad Complutense, Madrid, Spain
| | - Silvia Amoretti
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Barcelona Clínic Schizophrenia Unit, Neuroscience Institute, Hospital Clínic of Barcelona; University of Barcelona, Spain; Bipolar and Depressive Disorder Unit, Neuroscience Institute, Hospital Clínic, Barcelona, Spain; Group of Psychiatry, Mental Health and Addictions, Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - Miquel Bernardo
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Julio Sanjuan
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Institute of research of the Clinic Hospital from Valencia (INCLIVA), Valencia, Spain; Unit of Psychiatry, Clinic Hospital Valencia, University of Valencia, Valencia, Spain
| | - Eduardo J Aguilar
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Institute of research of the Clinic Hospital from Valencia (INCLIVA), Valencia, Spain; Unit of Psychiatry, Clinic Hospital Valencia, University of Valencia, Valencia, Spain
| |
Collapse
|
4
|
Ren H, Li Z, Li J, Zhou J, He Y, Li C, Wang Q, Chen X, Tang J. Correlation Between Cortical Thickness Abnormalities of the Olfactory Sulcus and Olfactory Identification Disorder and Persistent Auditory Verbal Hallucinations in Chinese Patients With Chronic Schizophrenia. Schizophr Bull 2024:sbae040. [PMID: 38577952 DOI: 10.1093/schbul/sbae040] [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: 04/06/2024]
Abstract
BACKGROUND AND HYPOTHESIS Persistent auditory verbal hallucinations (pAVHs) and olfactory identification impairment are common in schizophrenia (SCZ), but the neuroimaging mechanisms underlying both pAVHs and olfactory identification impairment are unclear. This study aimed to investigate whether pAVHs and olfactory identification impairment in SCZ patients are associated with changes in cortical thickness. STUDY DESIGN In this study, cortical thickness was investigated in 78 SCZ patients with pAVHs (pAVH group), 58 SCZ patients without AVHs (non-AVH group), and 83 healthy controls (HC group) using 3T magnetic resonance imaging. The severity of pAVHs was assessed by the Auditory Hallucination Rating Scale. Olfactory identification deficits were assessed using the Odor Stick Identification Test for Japanese (OSIT-J). In addition, the relationship between the severity of pAVHs and olfactory identification disorder and cortical thickness abnormalities was determined. STUDY RESULTS Significant reductions in cortical thickness were observed in the right medial orbital sulcus (olfactory sulcus) and right orbital sulcus (H-shaped sulcus) in the pAVH group compared to both the non-AVH and HC groups (P < .003, Bonferroni correction). Furthermore, the severity of pAVHs was found to be negatively correlated with the reduction in cortical thickness in the olfactory sulcus and H-shaped sulcus. Additionally, a decrease in cortical thickness in the olfactory sulcus showed a positive correlation with the OSIT-J scores (P < .05, false discovery rate correction). CONCLUSIONS Cortical thickness abnormalities in the olfactory sulcus may be a common neuroimaging mechanism for pAVHs and olfactory identification deficits in SCZ patients.
Collapse
Affiliation(s)
- Honghong Ren
- Department of Clinical Psychology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Clinical Psychology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
- 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
| | - Zongchang Li
- 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
| | - Jinguang Li
- 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 Zhou
- 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
| | - Ying He
- 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
| | - Chunwang Li
- Department of Radiology, Hunan Children's Hospital, Changsha, China
| | - Qianjin Wang
- Department of Clinical Psychology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Clinical Psychology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
- 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
| | - Xiaogang Chen
- 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
| | - Jinsong Tang
- Department of Psychiatry, Sir Run-Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Hunan Provincial Brain Hospital (The second people's Hospital of Hunan Province), Changsha, China
- Zigong Mental Health Center, Zigong, China
| |
Collapse
|
5
|
Ait Bentaleb K, Boisvert M, Tourjman V, Potvin S. A Meta-Analysis of Functional Neuroimaging Studies of Ketamine Administration in Healthy Volunteers. J Psychoactive Drugs 2024; 56:211-224. [PMID: 36921026 DOI: 10.1080/02791072.2023.2190758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 02/22/2023] [Indexed: 03/17/2023]
Abstract
Ketamine administration leads to a psychotomimetic state when taken in large bolus doses, making it a valid model of psychosis. Therefore, understanding ketamine's effects on brain functioning is particularly relevant. This meta-analysis focused on neuroimaging studies that examined ketamine-induced brain activation at rest and during a task. Included are 10 resting-state studies and 23 task-based studies, 9 of which were measuring executive functions. Using a stringent statistical threshold (TFCE <0.05), the results showed increased activity at rest in the dorsal anterior cingulate cortex (ACC), and increased activation of the right Heschl's gyrus during executive tasks, following ketamine administration. Uncorrected results showed increased activation at rest in the right (anterior) insula and the right-fusiform gyrus, as well as increased activation during executive tasks in the rostral ACC. Rest-state studies highlighted alterations in core hubs of the salience network, while task-based studies suggested an impact on task-irrelevant brain regions. Increased activation in the rostral ACC may indicate a failure to deactivate the default mode network during executive tasks following ketamine administration. The results are coherent with alterations found in schizophrenia, which confer external validity to the ketamine model of psychosis. Studies investigating the neural mechanisms of ketamine's antidepressant action are warranted.
Collapse
Affiliation(s)
- Karim Ait Bentaleb
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montréal, Canada
- Department of psychiatry and addiction, Université de Montréal, Montréal, Canada
| | - Mélanie Boisvert
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montréal, Canada
- Department of psychiatry and addiction, Université de Montréal, Montréal, Canada
| | - Valérie Tourjman
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montréal, Canada
- Department of psychiatry and addiction, Université de Montréal, Montréal, Canada
| | - Stéphane Potvin
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montréal, Canada
- Department of psychiatry and addiction, Université de Montréal, Montréal, Canada
| |
Collapse
|
6
|
Wang Q, Ren H, Li Z, Li J, Dai L, Dong M, Zhou J, He J, Chen X, Gu L, He Y, Tang J. Differences in olfactory dysfunction and its relationship with cognitive function in schizophrenia patients with and without auditory verbal hallucinations. Eur Arch Psychiatry Clin Neurosci 2023; 273:1813-1824. [PMID: 36949249 DOI: 10.1007/s00406-023-01589-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 03/06/2023] [Indexed: 03/24/2023]
Abstract
Olfactory discrimination dysfunction has been observed in patients with schizophrenia (SCZ), but its relationship with cognitive function has not been clarified. The purpose of this study was to examine the differences in olfactory identification function in SCZ patients with and without auditory verbal hallucinations (AVHs) and its relationship with cognitive function. Olfactory identification function was measured in 80 SCZ patients with AVHs, 57 SCZ patients without AVHs, and 87 healthy controls (HC). Clinical symptom scores and neuropsychological measures were also administered to all corresponding subjects. Compared to HC, SCZ patients showed significant deficits in olfactory identification and cognitive function, but there were no differences in olfactory identification dysfunction and cognitive dysfunction between the two subgroups. In the non-AVHs subgroup only, poorer Olfactory Stick Identification Test for Japanese (OSIT-J) scores were significantly and positively correlated with total and delayed recall (Bonferroni correction, p < 0.002). Stepwise regression analysis revealed that factors affecting olfactory identification impairment differed in the two SCZ patient subgroups. In conclusion, this study highlights the commonality of olfactory identification dysfunction in SCZ patients and the importance of olfactory assessment of different subtypes of SCZ patients.
Collapse
Affiliation(s)
- Qianjin Wang
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Honghong Ren
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong, China
| | - Zongchang Li
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Jinguang Li
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Lulin Dai
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Min Dong
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Jun Zhou
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Jingqi He
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Xiaogang Chen
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | | | - Ying He
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
| | - Jinsong Tang
- Department of Psychiatry, Sir Run-Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, China.
| |
Collapse
|
7
|
Chu Z, Yuan L, He M, Cheng Y, Lu Y, Xu X, Shen Z. Atrophy of bilateral nucleus accumbens in melancholic depression. Neuroreport 2023; 34:493-500. [PMID: 37270840 DOI: 10.1097/wnr.0000000000001915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Evidence from previous literature suggests that the nucleus accumbens (NAc), hippocampus, and amygdala play critical roles in the reward circuit. Meanwhile, it was also suggested that abnormalities in the reward circuit might be closely associated with the symptom of anhedonia of depression. However, few studies have investigated the structural alterations of the NAc, hippocampus, and amygdala in depression with anhedonia as the main clinical manifestation. Thus, the current study aimed to explore the structural changes of the subcortical regions among melancholic depression (MD) patients, especially in the NAc, hippocampus, and amygdala, to provide a theoretical basis for understanding the pathological mechanisms of MD. Seventy-two MD patients, 74 nonmelancholic depression (NMD) patients, and 81 healthy controls (HCs) matched for sex, age, and years of education were included in the study. All participants underwent T1-weighted MRI scans. Subcortical structure segmentation was performed using the FreeSurfer software. MD and NMD patients had reduced left hippocampal volume compared with HCs. Meanwhile, only MD patients had reduced bilateral NAc volumes. Moreover, correlation analyses showed correlations between left NAc volume and late insomnia and lassitude in MD patients. The reduced hippocampal volume may be related to the pathogenesis of major depressive disorder (MDD), and the reduced volume of the NAc may be the unique neural mechanism of MD. The findings of the current study suggest that future studies should investigate the different pathogenic mechanisms of different subtypes of MDD further to contribute to the development of individualized diagnostic and treatment protocols.
Collapse
Affiliation(s)
- Zhaosong Chu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University
- Yunnan Clinical Research Center for Mental Disorders
| | - Lijin Yuan
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University
- Yunnan Clinical Research Center for Mental Disorders
| | - Mengxin He
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University
- Yunnan Clinical Research Center for Mental Disorders
| | - Yuqi Cheng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University
- Yunnan Clinical Research Center for Mental Disorders
| | - Yi Lu
- Department of Medical Imaging, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Xiufeng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University
- Yunnan Clinical Research Center for Mental Disorders
| | - Zonglin Shen
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University
- Yunnan Clinical Research Center for Mental Disorders
| |
Collapse
|
8
|
Grecucci A, Rastelli C, Bacci F, Melcher D, De Pisapia N. A Supervised Machine Learning Approach to Classify Brain Morphology of Professional Visual Artists versus Non-Artists. SENSORS (BASEL, SWITZERLAND) 2023; 23:s23094199. [PMID: 37177406 PMCID: PMC10181039 DOI: 10.3390/s23094199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 04/14/2023] [Accepted: 04/20/2023] [Indexed: 05/15/2023]
Abstract
This study aimed to investigate whether there are structural differences in the brains of professional artists who received formal training in the visual arts and non-artists who did not have any formal training or professional experience in the visual arts, and whether these differences can be used to accurately classify individuals as being an artist or not. Previous research using functional MRI has suggested that general creativity involves a balance between the default mode network and the executive control network. However, it is not known whether there are structural differences between the brains of artists and non-artists. In this study, a machine learning method called Multi-Kernel Learning (MKL) was applied to gray matter images of 12 artists and 12 non-artists matched for age and gender. The results showed that the predictive model was able to correctly classify artists from non-artists with an accuracy of 79.17% (AUC 88%), and had the ability to predict new cases with an accuracy of 81.82%. The brain regions most important for this classification were the Heschl area, amygdala, cingulate, thalamus, and parts of the parietal and occipital lobes as well as the temporal pole. These regions may be related to the enhanced emotional and visuospatial abilities that professional artists possess compared to non-artists. Additionally, the reliability of this circuit was assessed using two different classifiers, which confirmed the findings. There was also a trend towards significance between the circuit and a measure of vividness of imagery, further supporting the idea that these brain regions may be related to the imagery abilities involved in the artistic process.
Collapse
Affiliation(s)
- Alessandro Grecucci
- Department of Psychology and Cognitive Sciences of Trento, University of Trento, 38068 Rovereto, Italy
| | - Clara Rastelli
- Department of Psychology and Cognitive Sciences of Trento, University of Trento, 38068 Rovereto, Italy
- MEG Center, University of Tübingen, 72072 Tübingen, Germany
| | - Francesca Bacci
- College of Arts and Creative Enterprises, Zayed University, Abu Dhabi P.O. Box 144534, United Arab Emirates
| | - David Melcher
- Department of Psychology and Cognitive Sciences of Trento, University of Trento, 38068 Rovereto, Italy
- Division of Science, New York University Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
| | - Nicola De Pisapia
- Department of Psychology and Cognitive Sciences of Trento, University of Trento, 38068 Rovereto, Italy
| |
Collapse
|
9
|
Slapø NB, Nerland S, Nordbø Jørgensen K, Mørch-Johnsen L, Pettersen JH, Roelfs D, Parker N, Valstad M, Pentz A, Timpe CMF, Richard G, Beck D, Werner MCF, Lagerberg TV, Melle I, Agartz I, Westlye LT, Steen NE, Andreassen OA, Moberget T, Elvsåshagen T, Jönsson EG. Auditory Cortex Thickness Is Associated With N100 Amplitude in Schizophrenia Spectrum Disorders. SCHIZOPHRENIA BULLETIN OPEN 2023; 4:sgad015. [PMID: 38812720 PMCID: PMC7616042 DOI: 10.1093/schizbullopen/sgad015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/31/2024]
Abstract
Background and Hypothesis The auditory cortex (AC) may play a central role in the pathophysiology of schizophrenia and auditory hallucinations (AH). Previous schizophrenia studies report thinner AC and impaired AC function, as indicated by decreased N100 amplitude of the auditory evoked potential. However, whether these structural and functional alterations link to AH in schizophrenia remain poorly understood. Study Design Patients with a schizophrenia spectrum disorder (SCZspect), including patients with a lifetime experience of AH (AH+), without (AH-), and healthy controls underwent magnetic resonance imaging (39 SCZspect, 22 AH+, 17 AH-, and 146 HC) and electroencephalography (33 SCZspect, 17 AH+, 16 AH-, and 144 HC). Cortical thickness of the primary (AC1, Heschl's gyrus) and secondary (AC2, Heschl's sulcus, and the planum temporale) AC was compared between SCZspect and controls and between AH+, AH-, and controls. To examine if the association between AC thickness and N100 amplitude differed between groups, we used regression models with interaction terms. Study Results N100 amplitude was nominally smaller in SCZspect (P = .03, d = 0.42) and in AH- (P = .020, d = 0.61), while AC2 was nominally thinner in AH+ (P = .02, d = 0.53) compared with controls. AC1 thickness was positively associated with N100 amplitude in SCZspect (t = 2.56, P = .016) and AH- (t = 3.18, P = .008), while AC2 thickness was positively associated with N100 amplitude in SCZspect (t = 2.37, P = .024) and in AH+ (t = 2.68, P = .019). Conclusions The novel findings of positive associations between AC thickness and N100 amplitude in SCZspect, suggest that a common neural substrate may underlie AC thickness and N100 amplitude alterations.
Collapse
Affiliation(s)
- Nora Berz Slapø
- Department of medicine, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Stener Nerland
- Department of medicine, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Kjetil Nordbø Jørgensen
- Department of medicine, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatry, Telemark Hospital, Skien, Norway
| | - Lynn Mørch-Johnsen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychiatry, Østfold Hospital, Grålum, Norway
- Department of Clinical Research, Østfold Hospital, Grålum, Norway
| | | | - Daniel Roelfs
- Department of medicine, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Nadine Parker
- Department of medicine, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Mathias Valstad
- Department of medicine, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
| | - Atle Pentz
- Department of medicine, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Clara M. F. Timpe
- Department of medicine, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Geneviève Richard
- Department of medicine, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Dani Beck
- Department of medicine, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Maren C. Frogner Werner
- Department of medicine, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | | | - Ingrid Melle
- Department of medicine, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ingrid Agartz
- Department of Psychiatry, Telemark Hospital, Skien, Norway
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Sciences, Stockholm Region, Sweden
| | - Lars T. Westlye
- Department of medicine, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Nils Eiel Steen
- Department of medicine, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ole A. Andreassen
- Department of medicine, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Torgeir Moberget
- Department of medicine, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Behavioral Sciences, Faculty of Health Sciences, Oslo Metropolitan University, OsloMet, Oslo, Norway
| | - Torbjørn Elvsåshagen
- Department of medicine, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Erik G. Jönsson
- Department of medicine, NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| |
Collapse
|
10
|
Yin Y, Tong J, Huang J, Tian B, Chen S, Tan S, Wang Z, Yang F, Tong Y, Fan F, Kochunov P, Jahanshad N, Li CSR, Hong LE, Tan Y. History of suicide attempts associated with the thinning right superior temporal gyrus among individuals with schizophrenia. Brain Imaging Behav 2022; 16:1893-1901. [PMID: 35545740 PMCID: PMC10025969 DOI: 10.1007/s11682-021-00624-3] [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: 12/18/2021] [Indexed: 11/02/2022]
Abstract
Individuals with schizophrenia have higher rates of suicide attempts than the general population. Specific cortical abnormalities (e.g., the cortical surface area and thickness) may be associated with a history of suicide attempts. We recruited 74 individuals with schizophrenia (37 suicide attempters were individually matched with 37 non-attempters on age, sex, phase of illness, and study center) and 37 healthy volunteers. The cortical surface area and thickness data were extracted from structural MRI and compared between the groups. Suicide attempters showed significantly smaller surface areas in the whole brain (p = .028, Cohen's d = -0.54) than non-attempters. No association was found between the cortical surface area of individual brain regions and a history of suicide attempts. The mean cortical thickness did not differ significantly between the groups; however, suicide attempters demonstrated a thinner cortex in the right superior temporal gyrus (p < .001, q = 0.037, Cohen's d = -0.88). These findings indicate that a history of suicide attempts among individuals with schizophrenia is associated with a reduction in the global cortical surface area and specific cortical thinning of the right superior temporal gyrus. The morphometric alteration of the right superior temporal gyrus may represent a biomarker of suicidal behavior in individuals with schizophrenia.
Collapse
Affiliation(s)
- Yi Yin
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China
| | - Jinghui Tong
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China
| | - Junchao Huang
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China
| | - Baopeng Tian
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China
| | - Song Chen
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China
| | - Shuping Tan
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China
| | - Zhiren Wang
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China
| | - Fude Yang
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China
| | - Yongsheng Tong
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China
- Beijing Suicide Research and Prevention Center, WHO Collaborating Center for Research and Training in Suicide Prevention, Beijing, China
| | - Fengmei Fan
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China
| | - Peter Kochunov
- Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, USA
| | - Neda Jahanshad
- Keck School of Medicine of the University of Southern California, Los Angeles, USA
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - L Elliot Hong
- Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, USA
| | - Yunlong Tan
- Peking University HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Beijing, People's Republic of China.
| |
Collapse
|
11
|
Perez-Rando M, Elvira UKA, García-Martí G, Gadea M, Aguilar EJ, Escarti MJ, Ahulló-Fuster MA, Grasa E, Corripio I, Sanjuan J, Nacher J. Alterations in the volume of thalamic nuclei in patients with schizophrenia and persistent auditory hallucinations. Neuroimage Clin 2022; 35:103070. [PMID: 35667173 PMCID: PMC9168692 DOI: 10.1016/j.nicl.2022.103070] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 05/02/2022] [Accepted: 05/30/2022] [Indexed: 11/29/2022]
Abstract
Analysis of structural MRI images using a probabilistic atlas for segmentation of several nuclei of the thalamus. Comparison of chronic patients with schizophrenia, with and without auditory hallucinations and matched healthy controls. Volumetric reductions in patients with AH vs controls: Medial geniculate nucleus, anterior pulvinar nucleus and lateral and medial mediodorsal nuclei. In patients without AH we found reductions in the volume of the pulvinar and mediodorsal nuclei, but not in the medial geniculate nucleus. Found also some significant correlations between the volume of these nuclei and the total score of the PSYRATS scale.
The thalamus is a subcortical structure formed by different nuclei that relay information to the neocortex. Several reports have already described alterations of this structure in patients of schizophrenia that experience auditory hallucinations. However, to date no study has addressed whether the volumes of specific thalamic nuclei are altered in chronic patients experiencing persistent auditory hallucinations. We have processed structural MRI images using Freesurfer, and have segmented them into 25 nuclei using the probabilistic atlas developed by Iglesias and collaborators (Iglesias et al., 2018). To homogenize the sample, we have matched patients of schizophrenia, with and without persistent auditory hallucinations, with control subjects, considering sex, age and their estimated intracranial volume. This rendered a group number of 41 patients experiencing persistent auditory hallucinations, 35 patients without auditory hallucinations, and 55 healthy controls. In addition, we have also correlated the volume of the altered thalamic nuclei with the total score of the PSYRATS, a clinical scale used to evaluate the positive symptoms of this disorder. We have found alterations in the volume of 8 thalamic nuclei in both cohorts of patients with schizophrenia: The medial and lateral geniculate nuclei, the anterior, inferior, and lateral pulvinar nuclei, the lateral complex and the lateral and medial mediodorsal nuclei. We have also found some significant correlations between the volume of these nuclei in patients experiencing auditory hallucinations, and the total score of the PSYRATS scale. Altogether our results indicate that volumetric alterations of thalamic nuclei involved in audition may be related to persistent auditory hallucinations in chronic schizophrenia patients, whereas alterations in nuclei related to association cortices are evident in all patients. Future studies should explore whether the structural alterations are cause or consequence of these positive symptoms and whether they are already present in first episodes of psychosis.
Collapse
Affiliation(s)
- Marta Perez-Rando
- Institute of Biotechnology and Biomedicine (BIOTECMED), Universitat de València, Burjassot, Spain; Spanish National Network for Research in Mental Health, (CIBERSAM), Madrid, Spain; Institute of Research of the Clinic Hospital from Valencia (INCLIVA), Valencia, Spain.
| | - Uriel K A Elvira
- Institute of Biotechnology and Biomedicine (BIOTECMED), Universitat de València, Burjassot, Spain; Institutes of Biomedical Technologies and Neuroscience, University of La Laguna, San Cristóbal de La Laguna, Spain
| | - Gracian García-Martí
- Spanish National Network for Research in Mental Health, (CIBERSAM), Madrid, Spain; Quironsalud Hospital, Valencia, Spain
| | - Marien Gadea
- Spanish National Network for Research in Mental Health, (CIBERSAM), Madrid, Spain; Institute of Research of the Clinic Hospital from Valencia (INCLIVA), Valencia, Spain; Department of Psychobiology, Faculty of Psychology, Universitat de València, Valencia, Spain
| | - Eduardo J Aguilar
- Spanish National Network for Research in Mental Health, (CIBERSAM), Madrid, Spain; Psychiatry Unit, Faculty of Medicine, Universitat de València, Valencia, Spain
| | - Maria J Escarti
- Spanish National Network for Research in Mental Health, (CIBERSAM), Madrid, Spain
| | - Mónica Alba Ahulló-Fuster
- Department of Radiology, Rehabilitation and Physiotherapy. Faculty of Nursing, Physiotherapy and Podiatry. Universidad Complutense de Madrid, Spain
| | - Eva Grasa
- Spanish National Network for Research in Mental Health, (CIBERSAM), Madrid, Spain; Servicio de Psiquiatría. Instituto de Investigación Biomédica Sant Pau (IIB-SANT PAU), Hospital de la Santa Creu i Sant Pau. Universitat Autònoma de Barcelona (UAB), 08193 Barcelona, Spain
| | - Iluminada Corripio
- Spanish National Network for Research in Mental Health, (CIBERSAM), Madrid, Spain; Servicio de Psiquiatría. Instituto de Investigación Biomédica Sant Pau (IIB-SANT PAU), Hospital de la Santa Creu i Sant Pau. Universitat Autònoma de Barcelona (UAB), 08193 Barcelona, Spain
| | - Julio Sanjuan
- Spanish National Network for Research in Mental Health, (CIBERSAM), Madrid, Spain; Quironsalud Hospital, Valencia, Spain
| | - Juan Nacher
- Institute of Biotechnology and Biomedicine (BIOTECMED), Universitat de València, Burjassot, Spain; Spanish National Network for Research in Mental Health, (CIBERSAM), Madrid, Spain; Institute of Research of the Clinic Hospital from Valencia (INCLIVA), Valencia, Spain.
| |
Collapse
|
12
|
Ren H, Wang Q, Li C, Li Z, Li J, Dai L, Dong M, Zhou J, He J, Liao Y, He Y, Chen X, Tang J. Differences in Cortical Thickness in Schizophrenia Patients With and Without Auditory Verbal Hallucinations. Front Mol Neurosci 2022; 15:845970. [PMID: 35645736 PMCID: PMC9135141 DOI: 10.3389/fnmol.2022.845970] [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: 12/30/2021] [Accepted: 04/11/2022] [Indexed: 11/16/2022] Open
Abstract
Auditory verbal hallucinations (AVHs) are one of the most common and severe symptoms of schizophrenia (SCZ), but the neuroanatomical mechanisms underlying AVHs remain unclear. This study aimed to investigate whether persistent AVHs (pAVH) are associated with cortical thinning of certain brain regions in patients with SCZ. With the use of the 3T magnetic resonance imaging (MRI) technology, we acquired and analyzed data from 79 SCZ patients with pAVH (pAVH group), 60 SCZ patients without AVHs (non-AVH group), and 83 healthy controls (HC group). The severity of pAVH was assessed by the P3 hallucination items in the Positive and Negative Syndrome Scale (PANSS) and the Auditory Hallucinations Rating Scale (AHRS). Cortical thickness analysis was used to compare the region of interest (ROI) cortical thickness between the groups. The relationship between the severity of pAVH and cortical thickness was also explored. Compared with the non-AVH and HC groups, the pAVH group exhibited significantly reduced cortical thickness in the bilateral lateral orbitofrontal region (p < 0.0007, after Bonferroni correction); no significant difference was found between the non-AVH group and the HC group. The cortical thickness of the left lateral orbitofrontal cortex (P3: r = −0.44, p < 0.001; AHRS: r = −0.45, p < 0.001) and the right lateral orbitofrontal cortex (P3: r = −0.36, p = 0.002; AHRS: r = −0.33, p = 0.004) were negatively correlated with the severity of pAVH (after Bonferroni correction, p < 0.0125). Therefore, abnormal thickness of the bilateral lateral orbitofrontal cortices might be associated with pAVHs in SCZ patients.
Collapse
Affiliation(s)
- Honghong Ren
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Qianjin Wang
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Chunwang Li
- Department of Radiology, Hunan Children’s Hospital, Changsha, China
| | - Zongchang Li
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Jinguang Li
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Lulin Dai
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Min Dong
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jun Zhou
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Jingqi He
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Yanhui Liao
- Department of Psychiatry, School of Medicine, Sir Run-Run Shaw Hospital, Zhejiang University, Hangzhou, China
| | - Ying He
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Xiaogang Chen
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
- *Correspondence: Xiaogang Chen, , orcid.org/0000-0002-3706-1697
| | - Jinsong Tang
- Department of Psychiatry, School of Medicine, Sir Run-Run Shaw Hospital, Zhejiang University, Hangzhou, China
- Jinsong Tang, , orcid.org/0000-0003-3796-1377
| |
Collapse
|
13
|
Shen X, Jiang F, Fang X, Yan W, Xie S, Zhang R. Cognitive dysfunction and cortical structural abnormalities in first-episode drug-naïve schizophrenia patients with auditory verbal hallucination. Front Psychiatry 2022; 13:998807. [PMID: 36186860 PMCID: PMC9523744 DOI: 10.3389/fpsyt.2022.998807] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 08/24/2022] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVE The current study aimed to examine the cognitive profiles and cortical structural alterations in first-episode drug-naïve schizophrenia with AVH (auditory verbal hallucination). METHODS Cortical structural parameters including cortical thickness and local gyrification index (LGI) estimated using FreeSurfer as well as cognitive performance assessed on the MATRICS Consensus Cognitive Battery (MCCB) were acquired from 78 schizophrenia patients with AVH, 74 schizophrenia patients without AVH (non-AVH), and 76 healthy controls (HC). Hoffman Auditory Hallucination Rating Scale (HAHRS) was applied to assess the severity of AVH. RESULTS The results revealed extensive deficits in all cognitive domains among AVH, non-AVH, and HC groups. Compared to non-AVH group, the AVH group showed poorer performance on visual learning and verbal learning domains. There were six brain regions with cortical thinning in the right hemisphere of inferior temporal gyrus, superior temporal gyrus, lateral orbito frontal cortex, rostral anterior cingulate cortex, supramarginal gyrus and insula, and two brain regions with increased LGI in the left hemisphere of superior parietal gyrus and the right hemisphere of caudal anterior cingulate cortex on AVH group relative to non-AVH group. Correlation analysis revealed that the cortical thickness in the right hemisphere of lateral orbito frontal cortex was negatively correlated with the severity of AVH in schizophrenia patients with AVH. CONCLUSION Visual learning, verbal learning dysfunction, and specific disruption of cortical structure may characterize schizophrenia patients with AVH during early stages of the disorder. Right lateral orbito frontal cortical deficits may be the pathological mechanisms underlying AVH in first-episode drug-naïve schizophrenia.
Collapse
Affiliation(s)
- Xuran Shen
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Fuli Jiang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xinyu Fang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Wei Yan
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Shiping Xie
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Rongrong Zhang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| |
Collapse
|
14
|
Shao X, Liao Y, Gu L, Chen W, Tang J. The Etiology of Auditory Hallucinations in Schizophrenia: From Multidimensional Levels. Front Neurosci 2021; 15:755870. [PMID: 34858129 PMCID: PMC8632545 DOI: 10.3389/fnins.2021.755870] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 10/14/2021] [Indexed: 11/25/2022] Open
Abstract
Enormous efforts have been made to unveil the etiology of auditory hallucinations (AHs), and multiple genetic and neural factors have already been shown to have their own roles. Previous studies have shown that AHs in schizophrenia vary from those in other disorders, suggesting that they have unique features and possibly distinguishable mechanisms worthy of further investigation. In this review, we intend to offer a comprehensive summary of current findings related to AHs in schizophrenia from aspects of genetics and transcriptome, neurophysiology (neurometabolic and electroencephalogram studies), and neuroimaging (structural and functional magnetic resonance imaging studies and transcriptome–neuroimaging association study). Main findings include gene polymorphisms, glutamate level change, electroencephalographic alterations, and abnormalities of white matter fasciculi, cortical structure, and cerebral activities, especially in multiple regions, including auditory and language networks. More solid and comparable research is needed to replicate and integrate ongoing findings from multidimensional levels.
Collapse
Affiliation(s)
- Xu Shao
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yanhui Liao
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lin Gu
- RIKEN AIP, Tokyo, Japan.,Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan
| | - Wei Chen
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jinsong Tang
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| |
Collapse
|
15
|
Takahashi T, Sasabayashi D, Takayanagi Y, Furuichi A, Kido M, Pham TV, Kobayashi H, Noguchi K, Suzuki M. Increased Heschl's Gyrus Duplication in Schizophrenia Spectrum Disorders: A Cross-Sectional MRI Study. J Pers Med 2021; 11:40. [PMID: 33445715 PMCID: PMC7828168 DOI: 10.3390/jpm11010040] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 01/08/2021] [Accepted: 01/09/2021] [Indexed: 11/17/2022] Open
Abstract
Duplicated Heschl's gyrus (HG) is prevalent in patients with schizophrenia and may reflect early neurodevelopmental anomalies. However, it currently remains unclear whether patients with schizotypal disorder, a prototypic disorder within the schizophrenia spectrum, exhibit a similar HG gyrification pattern. In this magnetic resonance imaging study, HG gyrification patterns were examined in 47 patients with schizotypal disorder, 111 with schizophrenia, and 88 age- and sex-matched healthy subjects. HG gyrification patterns were classified as single, common stem duplication (CSD), or complete posterior duplication (CPD). The prevalence of the duplicated HG patterns (CSD or CPD) bilaterally was higher in the schizophrenia and schizotypal groups than in healthy controls, whereas no significant difference was observed between the schizophrenia and schizotypal groups. Schizophrenia patients with the right CPD pattern had less severe positive symptoms, whereas the right single HG pattern was associated with higher doses of antipsychotic medication in schizotypal patients. The present study demonstrated shared HG gyrification patterns in schizophrenia spectrum disorders, which may reflect a common biological vulnerability factor. HG patterns may also be associated with susceptibility to psychopathology.
Collapse
Affiliation(s)
- Tsutomu Takahashi
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (D.S.); (Y.T.); (A.F.); (M.K.); (T.V.P.); (H.K.); (M.S.)
- Research Center for Idling Brain Science, University of Toyama, Toyama 930-0194, Japan
| | - Daiki Sasabayashi
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (D.S.); (Y.T.); (A.F.); (M.K.); (T.V.P.); (H.K.); (M.S.)
- Research Center for Idling Brain Science, University of Toyama, Toyama 930-0194, Japan
| | - Yoichiro Takayanagi
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (D.S.); (Y.T.); (A.F.); (M.K.); (T.V.P.); (H.K.); (M.S.)
- Arisawabashi Hospital, Toyama 939-2704, Japan
| | - Atsushi Furuichi
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (D.S.); (Y.T.); (A.F.); (M.K.); (T.V.P.); (H.K.); (M.S.)
- Research Center for Idling Brain Science, University of Toyama, Toyama 930-0194, Japan
| | - Mikio Kido
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (D.S.); (Y.T.); (A.F.); (M.K.); (T.V.P.); (H.K.); (M.S.)
- Research Center for Idling Brain Science, University of Toyama, Toyama 930-0194, Japan
| | - Tien Viet Pham
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (D.S.); (Y.T.); (A.F.); (M.K.); (T.V.P.); (H.K.); (M.S.)
- Research Center for Idling Brain Science, University of Toyama, Toyama 930-0194, Japan
| | - Haruko Kobayashi
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (D.S.); (Y.T.); (A.F.); (M.K.); (T.V.P.); (H.K.); (M.S.)
- Research Center for Idling Brain Science, University of Toyama, Toyama 930-0194, Japan
| | - Kyo Noguchi
- Department of Radiology, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan;
| | - Michio Suzuki
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama 930-0194, Japan; (D.S.); (Y.T.); (A.F.); (M.K.); (T.V.P.); (H.K.); (M.S.)
- Research Center for Idling Brain Science, University of Toyama, Toyama 930-0194, Japan
| |
Collapse
|
16
|
Brain-derived neurotrophic factor Val66Met polymorphism affects cortical thickness of rostral anterior cingulate in patients with major depressive disorder. Neuroreport 2020; 31:1146-1153. [PMID: 32991522 DOI: 10.1097/wnr.0000000000001528] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
OBJECTIVE The neuro-anatomical substrates of major depressive disorder (MDD) remain poorly understood. Brain-derived neurotrophic factor (BDNF) gene polymorphism (Val66Met/rs6265) is associated with neuro-plasticity and development. In the present study, we explore the influence of BDNF gene polymorphism on cortical thickness in nonelderly, first episode, drug-naive patients with MDD. METHODS Two hundred and sixteen participants (105 MDD patients and 111 healthy controls) were divided into subgroups based on the BDNF genotype. High-resolution MRI was obtained in all participants. A relationship of BDNF Val66Met gene polymorphism and cortical thickness was investigated. RESULTS The significant main effect of diagnosis was identified in the left rostal anterior cingulate (rACC), right inferior temporal and right lateral orbitofrontal (lOFC). The main effect of the genotype was observed in the left posterior cingulate cortex. The diagnosis-by-genotype interaction effect was found located in the left rACC. MDD patients who were Met-carriers exhibited thinner cortical thickness in the left rACC than healthy controls Met-carriers. Neither the symptom severity nor the illness duration was correlated significantly with cortical thickness. CONCLUSION Our findings suggested that the BDNF gene polymorphism was associated with cortical thickness alterations of the left rACC in MDD patients, and genotype that carries Met may serve as a vulnerability factor in MDD regarding the cortical thickness loss in the left rACC. This finding can be considered as a supportive evidence for the neurotrophic factor hypothesis of depression.
Collapse
|
17
|
Yang H, Wang M, Wu F, Li Q, Zheng Y, Qin P. Diminished self-monitoring in hallucinations - Aberrant anterior insula connectivity differentiates auditory hallucinations in schizophrenia from subjective tinnitus. Asian J Psychiatr 2020; 52:102056. [PMID: 32417745 DOI: 10.1016/j.ajp.2020.102056] [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] [Received: 12/14/2019] [Revised: 03/25/2020] [Accepted: 03/29/2020] [Indexed: 10/24/2022]
Abstract
Auditory hallucinations in schizophrenia (SCZ-AH) and subjective tinnitus (TN) are two conditions that share a superficial resemblance, namely the presence of phantom sounds produced by the brain. A crucial difference between them lies in the self-processing of the phantom signals, which is intact in TN patients but lost in SCZ-AH. Our study sets out to investigate the potential neural mechanisms for this crucial psychotic symptom of SCZ-AH under the framework of self. We gathered resting-state fMRI data from three participant groups: SCZ-AH, TN and healthy controls. Focusing on predefined self-related regions-of-interest, we found that SCZ-AH had reduced degree centrality in the right anterior insula (rAI) compared to both TN and healthy controls. Further functional connectivity analysis showed a reduced connectivity between the rAI and right superior temporal gyrus. Our finding indicates that compromised self-processing in SCZ-AH could be due to aberrant connectivity in rAI, which interacted with the decreased connectivity between rAI and auditory cortex, and jointly contributed to the misattribution of the source of the phantom sound. Our findings provided preliminary evidence for the neural mechanism of self-disorder underlying SCZ-AH, and could provide implications for investigating other modalities of hallucinations in schizophrenia.
Collapse
Affiliation(s)
- Haidi Yang
- Department of Otolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China; Institute of Hearing and Speech-Language Science, Sun Yat-sen University, Guangzhou, China
| | - Mingxia Wang
- Institute of Hearing and Speech-Language Science, Sun Yat-sen University, Guangzhou, China; Psychological Applications Research Center, Guangdong Key Laboratory of Mental Health and Cognitive Science, School of Psychology, South China Normal University, Guangzhou, China
| | - Fengchun Wu
- Department of Psychiatry, the Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Qingwei Li
- Department of Psychiatry, Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yiqing Zheng
- Department of Otolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China; Institute of Hearing and Speech-Language Science, Sun Yat-sen University, Guangzhou, China.
| | - Pengmin Qin
- Psychological Applications Research Center, Guangdong Key Laboratory of Mental Health and Cognitive Science, School of Psychology, South China Normal University, Guangzhou, China.
| |
Collapse
|
18
|
Association of cortical thickness with age of onset in first-episode, drug-naïve major depression. Neuroreport 2020; 30:1074-1080. [PMID: 31503209 DOI: 10.1097/wnr.0000000000001314] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
OBJECTIVE We previously showed differences in brain grey matter volume changes between patients with early-onset adult depression (EOD) and late-onset adult depression (LOD). Here, we aim to identify whether cortical thickness (CT) is affected by the age of onset in patients with depression. METHODS High-resolution MRI images were obtained for 54 major depressive disorder (MDD) patients with EOD, 58 patients with LOD, 57 young healthy controls (HCs), and 58 aged HCs. Depression severity was assessed using the Hamilton Depression Rating Scale 17-item (HDRS17). Associations between CT of patients and clinical scores were analyzed. RESULTS There was a significant main effect of diagnosis for the left rostal anterior cingulate (rACC), right inferior temporal, right lateral orbitofrontal cortex (lOFC), and bilateral pericalcarine. A remarkable onset age-group effect on CT was observed in the rACC and bilateral caudal anterior cingulate (cACC). The diagnosis-by-onset age interaction effect was found in bilateral rACC and right lOFC. Thinning CT in bilateral rACC was observed in EOD patients compared to young HCs. Compared to older HCs, thicker CT in lOFC was seen in the LOD patient group. Compared with the LOD group, the EOD group showed cortical thinning of the right cACC and posterior cingulate cortex (PCC). There were no significant associations between CT in right cACC or PCC with symptom severity or illness duration. CONCLUSIONS MDD patients with different age at onset show distinct CT alterations, suggesting potentially divergent pathological mechanisms of EOD and LOD.
Collapse
|
19
|
Proskovec AL, Spooner RK, Wiesman AI, Wilson TW. Local cortical thickness predicts somatosensory gamma oscillations and sensory gating: A multimodal approach. Neuroimage 2020; 214:116749. [PMID: 32199953 DOI: 10.1016/j.neuroimage.2020.116749] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 02/26/2020] [Accepted: 03/13/2020] [Indexed: 12/24/2022] Open
Abstract
Two largely distinct bodies of research have demonstrated age-related alterations and disease-specific aberrations in both local gamma oscillations and patterns of cortical thickness. However, seldom has the relationship between gamma activity and cortical thickness been investigated. Herein, we combine the spatiotemporal precision of magnetoencephalography (MEG) with high-resolution magnetic resonance imaging and surface-based morphometry to characterize the relationships between somatosensory gamma oscillations and the thickness of the cortical tissue generating the oscillations in 94 healthy adults (age range: 22-72). Specifically, a series of regressions were computed to assess the relationships between thickness of the primary somatosensory cortex (S1), S1 gamma response power, peak gamma frequency, and somatosensory gating of identical stimuli. Our results indicated that increased S1 thickness significantly predicted greater S1 gamma response power, reduced peak gamma frequency, and improved somatosensory gating. Furthermore, peak gamma frequency significantly and partially mediated the relationship between S1 thickness and the magnitude of the S1 gamma response. Finally, advancing age significantly predicted reduced S1 thickness and decreased gating of redundant somatosensory stimuli. Notably, this is the first study to directly link somatosensory gamma oscillations to local cortical thickness. Our results demonstrate a multi-faceted relationship between structure and function, and have important implications for understanding age- and disease-related deficits in basic sensory processing and higher-order inhibitory function.
Collapse
Affiliation(s)
- Amy L Proskovec
- Center for Magnetoencephalography, University of Nebraska Medical Center (UNMC), Omaha, NE, 68198, USA; Department of Neurological Sciences, UNMC, Omaha, NE, 68198, USA; Department of Psychology, University of Nebraska - Omaha, Omaha, NE, 68182, USA; Magnetoencephalography Center of Excellence, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
| | - Rachel K Spooner
- Center for Magnetoencephalography, University of Nebraska Medical Center (UNMC), Omaha, NE, 68198, USA; Department of Neurological Sciences, UNMC, Omaha, NE, 68198, USA
| | - Alex I Wiesman
- Center for Magnetoencephalography, University of Nebraska Medical Center (UNMC), Omaha, NE, 68198, USA; Department of Neurological Sciences, UNMC, Omaha, NE, 68198, USA
| | - Tony W Wilson
- Center for Magnetoencephalography, University of Nebraska Medical Center (UNMC), Omaha, NE, 68198, USA; Department of Neurological Sciences, UNMC, Omaha, NE, 68198, USA; Department of Psychology, University of Nebraska - Omaha, Omaha, NE, 68182, USA
| |
Collapse
|
20
|
Oxidative-Antioxidant Imbalance and Impaired Glucose Metabolism in Schizophrenia. Biomolecules 2020; 10:biom10030384. [PMID: 32121669 PMCID: PMC7175146 DOI: 10.3390/biom10030384] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 02/24/2020] [Accepted: 02/26/2020] [Indexed: 02/07/2023] Open
Abstract
Schizophrenia is a neurodevelopmental disorder featuring chronic, complex neuropsychiatric features. The etiology and pathogenesis of schizophrenia are not fully understood. Oxidative-antioxidant imbalance is a potential determinant of schizophrenia. Oxidative, nitrosative, or sulfuric damage to enzymes of glycolysis and tricarboxylic acid cycle, as well as calcium transport and ATP biosynthesis might cause impaired bioenergetics function in the brain. This could explain the initial symptoms, such as the first psychotic episode and mild cognitive impairment. Another concept of the etiopathogenesis of schizophrenia is associated with impaired glucose metabolism and insulin resistance with the activation of the mTOR mitochondrial pathway, which may contribute to impaired neuronal development. Consequently, cognitive processes requiring ATP are compromised and dysfunctions in synaptic transmission lead to neuronal death, preceding changes in key brain areas. This review summarizes the role and mutual interactions of oxidative damage and impaired glucose metabolism as key factors affecting metabolic complications in schizophrenia. These observations may be a premise for novel potential therapeutic targets that will delay not only the onset of first symptoms but also the progression of schizophrenia and its complications.
Collapse
|
21
|
Guo Q, Hu Y, Zeng B, Tang Y, Li G, Zhang T, Wang J, Northoff G, Li C, Goff D, Wang J, Yang Z. Parietal memory network and default mode network in first-episode drug-naïve schizophrenia: Associations with auditory hallucination. Hum Brain Mapp 2020; 41:1973-1984. [PMID: 32112506 PMCID: PMC7267906 DOI: 10.1002/hbm.24923] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Revised: 11/29/2019] [Accepted: 01/01/2020] [Indexed: 12/17/2022] Open
Abstract
Atypical spontaneous activities in resting‐state networks may play a role in auditory hallucinations (AHs), but networks relevant to AHs are not apparent. Given the debating role of the default mode network (DMN) in AHs, a parietal memory network (PMN) may better echo cognitive theories of AHs in schizophrenia, because PMN is spatially adjacent to the DMN and more relevant to memory processing or information integration. To examine whether PMN is more relevant to AHs than DMN, we characterized these intrinsic networks in AHs with 59 first‐episode, drug‐naïve schizophrenics (26 AH+ and 33 AH−) and 60 healthy participants in resting‐state fMRI. We separated the PMN, DMN, and auditory network (AN) using independent component analysis, and compared their functional connectivity across the three groups. We found that only AH+ patients displayed dysconnectivity in PMN, both AH+ and AH− patients exhibited dysfunctions of AN, but neither patient group showed abnormal connectivity within DMN. The connectivity of PMN significantly correlated with memory performance of the patients. Further region‐of‐interest analyses confirmed that the connectivity between the core regions of PMN, the left posterior cingulate gyrus and the left precuneus, was significantly lower only in the AH+ group. In exploratory correlation analysis, this functional connectivity metric significantly correlated with the severity of AH symptoms. The results implicate that compared to the DMN, the PMN is more relevant to the AH symptoms in schizophrenia, and further provides a more precise potential brain modulation target for the intervention of AH symptoms.
Collapse
Affiliation(s)
- Qian Guo
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China.,Department of Early Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yang Hu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Botao Zeng
- Department of Psychiatry, Qingdao Mental Health Center, Qingdao, China
| | - Yingying Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guanjun Li
- Department of Early Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianhong Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinhong Wang
- Department of Medical Imaging, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Georg Northoff
- University of Ottawa Brain and Mind Research Institute, and Mind Brain Imaging and Neuroethics Royal's Institute of Mental Health Research, University of Ottawa, Ottawa, Ontario, Canada
| | - Chunbo Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China.,Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Bio-X Institutes, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China.,Institute of Psychology and Behaviour Science, Shanghai Jiao Tong University, Shanghai, China
| | - Donald Goff
- Department of Psychiatry, New York University School of Medicine, New York, New York
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China.,Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Bio-X Institutes, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China.,Institute of Psychology and Behaviour Science, Shanghai Jiao Tong University, Shanghai, China
| | - Zhi Yang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China.,Institute of Psychology and Behaviour Science, Shanghai Jiao Tong University, Shanghai, China
| |
Collapse
|
22
|
Mustroph ML, Zekelman LR, Golby AJ. Editorial. Probing the tract organization of language: Heschl’s gyrus fiber intersection area. Neurosurg Focus 2020; 48:E8. [DOI: 10.3171/2019.11.focus19886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
| | - Leo R. Zekelman
- Speech and Hearing Bioscience and Technology, Division of Medical Sciences, Harvard Medical School, Boston, Massachusetts
| | - Alexandra J. Golby
- Departments of Neurosurgery and
- Radiology, Brigham and Women’s Hospital, Harvard Medical School; and
| |
Collapse
|
23
|
Identifying errors in Freesurfer automated skull stripping and the incremental utility of manual intervention. Brain Imaging Behav 2020; 13:1281-1291. [PMID: 30145718 DOI: 10.1007/s11682-018-9951-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
Quality assurance (QA) is vital for ensuring the integrity of processed neuroimaging data for use in clinical neurosciences research. Manual QA (visual inspection) of processed brains for cortical surface reconstruction errors is resource-intensive, particularly with large datasets. Several semi-automated QA tools use quantitative detection of subjects for editing based on outlier brain regions. There were two project goals: (1) evaluate the assumption that statistical outliers are related to errors of cortical extension, and (2) examine whether error identification and correction significantly impacts estimation of cortical parameters and established brain-behavior relationships. T1 MPRAGE images (N = 530) of healthy adults were obtained from the NKI-Rockland Sample and reconstructed using Freesurfer 5.3. Visual inspection of T1 images was conducted for: (1) participants (n = 110) with outlier values (z scores ±3 SD) for subcortical and cortical segmentation volumes (outlier group), and (2) a random sample of remaining participants (n = 110) with segmentation values that did not meet the outlier criterion (non-outlier group). The outlier group had 21% more participants with visual inspection-identified errors than participants in the non-outlier group, with a medium effect size (Φ = 0.22). Nevertheless, a considerable portion of images with errors of cortical extension were found in the non-outlier group (41%). Although nine brain regions significantly changed size from pre- to post-editing (with effect sizes ranging from 0.26 to 0.59), editing did not substantially change the correlations of neurocognitive tasks and brain volumes (ps > 0.05). Statistically-based QA, although less resource intensive, is not accurate enough to supplant visual inspection. We discuss practical implications of our findings to guide resource allocation decisions for image processing.
Collapse
|
24
|
Zhuo C, Zhou C, Lin X, Tian H, Wang L, Chen C, Ji F, Xu Y, Jian D. Common and distinct global functional connectivity density alterations in drug-naïve patients with first-episode major depressive disorder with and without auditory verbal hallucination. Prog Neuropsychopharmacol Biol Psychiatry 2020; 96:109738. [PMID: 31442554 DOI: 10.1016/j.pnpbp.2019.109738] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2019] [Revised: 08/12/2019] [Accepted: 08/18/2019] [Indexed: 02/07/2023]
Abstract
Auditory verbal hallucination (AVH), defined as the auditory perception of speech in the absence of a real external stimulus, occurs in individuals with and without mental illness. The distribution of functional abnormalities in patients with AVH suggests aberrant brain network connectivity. However, no study has measured the global functional connectivity density (gFCD) associated with AVH in patients with major depressive disorder (MDD); gFCD is used widely to examine the density distribution of whole-brain resting-state functional connectivity and can serve as an index reflecting brain metabolism disturbance. In this study, we involved drug-naïve patients with first-episode MDD with (n = 35) and without (n = 40) AVH and healthy controls (n = 50).Whole-brain resting-state functional magnetic resonance imaging data were acquired and gFCD was calculated and compared among groups. We found the following gFCD alterations that were shared by both MDD groups: (1) decreased gFCD in the bilateral postcentral gyrus, precentral gyrus, insular cortices and occipital lobe; and (2) increased gFCD in the left middle cingulate cortex. More importantly, we found AVH-specific gFCD changes in patients with MDD: increased gFCD in the left Wernicke's brain regions and bilateral hippocampus and thalamus, and decreased gFCD in the bilateral lateral prefrontal lobule. These findings reflect the disturbance of brain information communication and metabolism in patients with MDD and AVH, related mainly to the language and memory processing circuits, and to some extent provide further support for the "VOICE" model of AVH.
Collapse
Affiliation(s)
- Chuanjun Zhuo
- Department of Psychiatry, School of Mental Health, Jining University, Jining, Shandong Province 272191, China; Psychiatric-Neuroimaging-Genetics Laboratory, Wenzhou Seventh People's Hospital, Wenzhou, Zhejiang Province 325000, China; Psychiatric-Neuroimaging-Genetics and Comorbidity Laboratory, Tianjin Mental Health Center, Mental Health Teaching Hospital of Tianjin Medical University, Tianjin Anding Hospital, China, Tianjin 300222, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China; MDT Center for Cognitive Impairment and Sleep Disorders, First Hospital of Shanxi Medical University, Taiyuan 030001, China.
| | - Chunhua Zhou
- Department of Pharmacy, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei Province 050000, China
| | - Xiaodong Lin
- Psychiatric-Neuroimaging-Genetics Laboratory, Wenzhou Seventh People's Hospital, Wenzhou, Zhejiang Province 325000, China
| | - Hongjun Tian
- Psychiatric-Neuroimaging-Genetics and Comorbidity Laboratory, Tianjin Mental Health Center, Mental Health Teaching Hospital of Tianjin Medical University, Tianjin Anding Hospital, China, Tianjin 300222, China
| | - Lina Wang
- Psychiatric-Neuroimaging-Genetics and Comorbidity Laboratory, Tianjin Mental Health Center, Mental Health Teaching Hospital of Tianjin Medical University, Tianjin Anding Hospital, China, Tianjin 300222, China
| | - Ce Chen
- Psychiatric-Neuroimaging-Genetics Laboratory, Wenzhou Seventh People's Hospital, Wenzhou, Zhejiang Province 325000, China
| | - Feng Ji
- Department of Psychiatry, School of Mental Health, Jining University, Jining, Shandong Province 272191, China
| | - Yong Xu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China; MDT Center for Cognitive Impairment and Sleep Disorders, First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Deguo Jian
- Psychiatric-Neuroimaging-Genetics Laboratory, Wenzhou Seventh People's Hospital, Wenzhou, Zhejiang Province 325000, China
| |
Collapse
|
25
|
Escarti MJ, Garcia-Marti G, Sanz-Requena R, Marti-Bonmatí L, Cabrera B, Vieta E, Lobo A, Castro-Fornieles J, González-Pinto A, Cortizo R, Pina-Camacho L, Parellada M, Bernardo M, Sanjuan J. Auditory hallucinations in first-episode psychosis: A voxel-based morphometry study. Schizophr Res 2019; 209:148-155. [PMID: 31113747 DOI: 10.1016/j.schres.2019.05.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 02/05/2019] [Accepted: 05/01/2019] [Indexed: 01/13/2023]
Abstract
BACKGROUND Auditory hallucinations (AH) are a core symptom of psychosis. The brain abnormalities responsible for AH remain controversial due to inconsistent and conflicting findings across studies, with substantial confounding factors, such as chronicity. Few studies have examined the pathological changes that occur in the gray matter (GM) of patients with first-episode psychosis (FEP) and AH. The present study aims to validate the presence and characteristics of these structural abnormalities in relation to the intensity of psychotic symptoms and AH in a larger homogeneous sample than those of previous studies. METHODS A magnetic resonance voxel-based morphometric analysis was applied to a group of 215 patients with FEP (93 patients with AH and 122 patients without AH) and 177 healthy controls. The patients were evaluated using the PANSS scale. RESULTS Patients with FEP exhibited greater reductions in GM concentrations in the temporal, frontal, cingulate and insular areas than the healthy controls did. No specific differences were found between the patients with FEP and AH and the patients without AH. In addition, total scores on the PANSS were negatively correlated with GM reductions in the FEP group. No correlations were found between the severity of the AH and the GM volumes. CONCLUSIONS As in previous studies, reductions in the GM concentrations in patients with FEP suggest that alterations are present in the early stages of psychosis, and these alterations are correlated with the severity of the illness. The GM reductions were not found to be related to the presence or severity of AH.
Collapse
Affiliation(s)
- María Jose Escarti
- Department of Psychiatry, Hospital Clinic, University of Valencia, INCLIVA, Valencia, Spain; Department of Psychiatry, Hospital Peset, Av. de Gaspar Aguilar, 90, 46017 Valencia, Spain; Ciber del Área de Salud Mental (CIBERSAM), Spain.
| | - Gracian Garcia-Marti
- Department of Radiology, Quirón Hospital, Avda. Blasco Ibáñez, 14, 46010 Valencia, Spain; Ciber del Área de Salud Mental (CIBERSAM), Spain
| | - Roberto Sanz-Requena
- Department of Radiology, Quirón Hospital, Avda. Blasco Ibáñez, 14, 46010 Valencia, Spain
| | - Luis Marti-Bonmatí
- Department of Radiology, Quirón Hospital, Avda. Blasco Ibáñez, 14, 46010 Valencia, Spain; Biomedical Imaging Research Group (GIBI2^30), Hospital Universitari i Politècnic La Fe, Avda. Fernando Abril Martorell 106, Torre A, 46026, Valencia, Spain
| | - Bibiana Cabrera
- Barcelona Clinic Schizophrenia Unit, Neurosciences Institute, Hospital Clinic, Barcelona, Spain; Ciber del Área de Salud Mental (CIBERSAM), Spain
| | - Eduard Vieta
- Bipolar Disorder Unit, Hospital Clinic of Barcelona, University of Barcelona, Spain; Department of Psychiatry and Clinical Psychobiology, University of Barcelona, IDIBAPS, Barcelona, Spain; Ciber del Área de Salud Mental (CIBERSAM), Spain
| | - Antonio Lobo
- Department of Medicine and Psychiatry, Hospital Clinico, University of Zaragoza, Zaragoza, Spain; Instituto de Investigación Sanitaria Aragón (IIS Aragon) y Universidad de Zaragoza, Spain; Ciber del Área de Salud Mental (CIBERSAM), Spain
| | - Josefina Castro-Fornieles
- Dept. of Child and Adolescent Psychiatry and Psychology, SGR-489, Institute Clinic of Neurosciences, Hospital Clinic of Barcelona, Spain; Ciber del Área de Salud Mental (CIBERSAM), Spain
| | - Ana González-Pinto
- Department of Psychiatry, Hospital Universitario de Álava (Sede Santiago), EHU/University of the Basque Country, Vitoria, Spain; Ciber del Área de Salud Mental (CIBERSAM), Spain
| | - Romina Cortizo
- Institut de Neuropsiquiatria i Addiccions, Hospital del Mar, Barcelona, Spain
| | - Laura Pina-Camacho
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañon, School of Medicine, Universidad Complutense, IiSGM, Madrid, Spain; Ciber del Área de Salud Mental (CIBERSAM), Spain
| | - Mara Parellada
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañon, School of Medicine, Universidad Complutense, IiSGM, Madrid, Spain; Ciber del Área de Salud Mental (CIBERSAM), Spain
| | - Miquel Bernardo
- Barcelona Clinic Schizophrenia Unit, Neurosciences Institute, Hospital Clinic, Barcelona, Spain; Ciber del Área de Salud Mental (CIBERSAM), Spain
| | - Julio Sanjuan
- Department of Psychiatry, Hospital Clinic, University of Valencia, INCLIVA, Valencia, Spain; Faculty of Medicine, Universitat de València, Avda. Blasco Ibáñez, 15, 46010 Valencia, Spain; Ciber del Área de Salud Mental (CIBERSAM), Spain
| |
Collapse
|
26
|
Huang J, Zhuo C, Xu Y, Lin X. Auditory verbal hallucination and the auditory network: From molecules to connectivity. Neuroscience 2019; 410:59-67. [PMID: 31082536 DOI: 10.1016/j.neuroscience.2019.04.051] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2019] [Revised: 04/24/2019] [Accepted: 04/26/2019] [Indexed: 12/20/2022]
Abstract
Auditory verbal hallucinations (AVHs) frequently occur across multiple psychiatric diseases especially in schizophrenia (SCZ) patients. Functional imaging studies have revealed the hyperactivity of the auditory cortex and disrupted auditory-verbal network activity underlying AVH etiology. This review will firstly summarize major findings from both human AVH patients and animal models, with focuses on the auditory cortex and associated cortical/sub-cortical areas. Besides mesoscale connectivity or activity data, structure and functions at synaptic level will be discussed, in conjunction with molecular mechanisms. We have summarized major findings for the pathogenesis of AVH in SCZ patients, with focuses in the auditory cortex and prefrontal cortex (PFC). Those discoveries provide explanations for AVH from different perspectives including inter-regional connectivity, local activity in specific areas, structure and functions of synapse, and potentially molecular targets. Due to the uniqueness of AVH in humans, full replica using animals seems impossible. However, we can still extract useful information from animal SCZ models based on the disruption of auditory pathway during AVH episodes. Therefore, we will further interpolate the synaptic structures and molecular targets, whose dysregulation in SCZ models may be highly related with AVH episodes. As the last part, implications for future development of treatment strategies will be discussed.
Collapse
Affiliation(s)
- Jianjie Huang
- Department of Psychiatric-Neuroimging-Genetics Laboratory(PNG-Lab), Wenzhou Seventh People's Hospital, Wenzhou, Zhejiang Province, 325000, China
| | - Chuanjun Zhuo
- Department of Psychiatric-Neuroimging-Genetics Laboratory(PNG-Lab), Wenzhou Seventh People's Hospital, Wenzhou, Zhejiang Province, 325000, China; Department of Psychiatry, Institute of Mental Health, Jining University, Jining Shandong Province, 272191, China; Department of Psychiatric-Neuroimaging-Genetics and Comorbidity Laboratory (PNGC-Lab), Tianjin Mental Health Centre, Mental Health Teaching Hospital of Tianjin Medical University, Tianjin Anding Hospital, China, Tianjin, 300222, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China; MDT Center for Cognitive Impairment and Sleep Disorders, First Hospital of Shanxi Medical University, Taiyuan, 030001, China.
| | - Yong Xu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Xiaodong Lin
- Department of Psychiatric-Neuroimging-Genetics Laboratory(PNG-Lab), Wenzhou Seventh People's Hospital, Wenzhou, Zhejiang Province, 325000, China
| |
Collapse
|
27
|
Dondé C, Silipo G, Dias EC, Javitt DC. Hierarchical deficits in auditory information processing in schizophrenia. Schizophr Res 2019; 206:135-141. [PMID: 30551982 PMCID: PMC6526044 DOI: 10.1016/j.schres.2018.12.001] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Revised: 08/11/2018] [Accepted: 12/04/2018] [Indexed: 01/31/2023]
Abstract
Deficits in auditory processing contribute significantly to impaired functional outcome in schizophrenia (SZ), but mediating factors remain under investigation. Here we evaluated two hierarchical components of early auditory processing: pitch-change detection (i.e. identifying if 2 tones have "same" or "different" pitch), which is preferentially associated with early auditory cortex, and serial pitch-pattern detection (i.e. identifying if 3 tones have "same" or "different" pitch, and, if "different", which one differed from the others), which depends also on auditory association regions. Deficits in pitch-change detection deficits in SZ have been widely reported and correlated with higher auditory disturbances such as Auditory Emotion Recognition (AER). Deficits in serial pitch-pattern discrimination have been less studied. Here, we investigated both pitch perception components, along with integrity of AER in SZ patients vs. controls using behavioral paradigms. We hypothesized that the deficits could be viewed as hierarchically organized in SZ, with deficits in low-level function propagating sequentially through subsequent levels of processing. Participants included 27 SZ and 40 controls. The magnitude of the deficits in SZ participants was large in both the pitch-change (d = 1.15) and serial pitch-pattern tasks (d = 1.21) with no significant differential task effect. The effect size of the AER deficits was extremely large (d = 2.82). In the SZ group, performance in both pitch tasks correlated significantly with impaired AER performance. However, a mediation analysis showed that serial pitch-pattern detection mediated the relationship between simpler pitch-change detection and AER in patients. Findings are consistent with hierarchical models of cognitive dysfunction in SZ with deficits in early information processing contributing to higher level impairments. Furthermore, findings are consistent with recent neurophysiological results suggesting similar level impairments for processing of simple vs. more complex tonal dysfunction in SZ.
Collapse
Affiliation(s)
- Clément Dondé
- INSERM, U1028, CNRS, UMR5292, Lyon Neuroscience Research Center, Psychiatric Disorders: from Resistance to Response Team, Lyon F-69000, France; University Lyon 1, Villeurbanne F-69000, France; Centre Hospitalier Le Vinatier, Bron, France; Nathan Kline Institute, Orangeburg, NY, USA; Dept. of Psychiatry, Columbia University Medical Center, New York, NY, USA.
| | - Gail Silipo
- Nathan Kline Institute, Orangeburg, NY, USA.
| | | | - Daniel C. Javitt
- Nathan Kline Institute, Orangeburg, NY USA,Dept. of Psychiatry, Columbia University Medical Center, New York, NY USA
| |
Collapse
|
28
|
Rollins CP, Garrison JR, Simons JS, Rowe JB, O'Callaghan C, Murray GK, Suckling J. Meta-analytic Evidence for the Plurality of Mechanisms in Transdiagnostic Structural MRI Studies of Hallucination Status. EClinicalMedicine 2019; 8:57-71. [PMID: 31193632 PMCID: PMC6537703 DOI: 10.1016/j.eclinm.2019.01.012] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Revised: 01/15/2019] [Accepted: 01/27/2019] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Hallucinations are transmodal and transdiagnostic phenomena, occurring across sensory modalities and presenting in psychiatric, neurodegenerative, neurological, and non-clinical populations. Despite their cross-category occurrence, little empirical work has directly compared between-group neural correlates of hallucinations. METHODS We performed whole-brain voxelwise meta-analyses of hallucination status across diagnoses using anisotropic effect-size seed-based d mapping (AES-SDM), and conducted a comprehensive systematic review in PubMed and Web of Science until May 2018 on other structural correlates of hallucinations, including cortical thickness and gyrification. FINDINGS 3214 abstracts were identified. Patients with psychiatric disorders and hallucinations (eight studies) exhibited reduced gray matter (GM) in the left insula, right inferior frontal gyrus, left anterior cingulate/paracingulate gyrus, left middle temporal gyrus, and increased in the bilateral fusiform gyrus, while patients with neurodegenerative disorders with hallucinations (eight studies) showed GM decreases in the left lingual gyrus, right supramarginal gyrus/parietal operculum, left parahippocampal gyrus, left fusiform gyrus, right thalamus, and right lateral occipital gyrus. Group differences between psychiatric and neurodegenerative hallucination meta-analyses were formally confirmed using Monte Carlo randomizations to determine statistical significance, and a jackknife sensitivity analysis established the reproducibility of results across nearly all study combinations. For other structural measures (28 studies), the most consistent findings associated with hallucination status were reduced cortical thickness in temporal gyri in schizophrenia and altered hippocampal volume in Parkinson's disease and dementia. Additionally, increased severity of hallucinations in schizophrenia correlated with GM reductions within the left superior temporal gyrus, right middle temporal gyrus, bilateral supramarginal and angular gyri. INTERPRETATION Distinct patterns of neuroanatomical alteration characterize hallucination status in patients with psychiatric and neurodegenerative diseases, suggesting a plurality of anatomical signatures. This approach has implications for treatment, theoretical frameworks, and generates refutable predictions for hallucinations in other diseases and their occurrence within the general population. FUNDING None.
Collapse
Affiliation(s)
- Colleen P.E. Rollins
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Corresponding author at: Department of Psychiatry, University of Cambridge, Cambridge CB2 0SP, UK
| | - Jane R. Garrison
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Psychology and Behavioural & Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Jon S. Simons
- Department of Psychology and Behavioural & Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - James B. Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | | | - Graham K. Murray
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, UK
| | - John Suckling
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| |
Collapse
|
29
|
Köse G, Jessen K, Ebdrup BH, Nielsen MØ. Associations between cortical thickness and auditory verbal hallucinations in patients with schizophrenia: A systematic review. Psychiatry Res Neuroimaging 2018; 282:31-39. [PMID: 30384148 DOI: 10.1016/j.pscychresns.2018.10.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Revised: 08/24/2018] [Accepted: 10/21/2018] [Indexed: 11/29/2022]
Abstract
Auditory verbal hallucinations are common symptoms in schizophrenia patients, and recent magnetic resonance imaging studies have suggested associations between cortical thickness and auditory verbal hallucinations. This article summarises the associations between cortical thickness reduction and auditory verbal hallucinations, conceptualising the findings based on the Research Domain Criteria framework. Six studies identified in a systematic literature search were included in the review. Cortical thickness reductions in schizophrenia patients with auditory verbal hallucinations were reported in the transverse temporal gyrus in four of the studies, in the superior temporal gyrus in three of them, and in the middle temporal gyrus in three of the studies. These regions are collectively associated with auditory perception in the cognitive system domain in the Research Domain Criteria. Findings in other brain areas were inconsistent, which may reflect uncharacterised differences in the phenomenology and subjective experience of auditory verbal hallucinations. Future studies are encouraged to apply the Research Domain Criteria to characterise other putative networks associated with the subjective experience of auditory verbal hallucinations. This approach may facilitate understanding of current inconsistencies between auditory verbal hallucinations and cortical thickness in other brain areas.
Collapse
Affiliation(s)
- Güldas Köse
- Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen, Denmark
| | - Kasper Jessen
- Center for Neuropsychiatric Schizophrenia Research, CNSR, Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre, Glostrup, Denmark
| | - Bjørn H Ebdrup
- Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen, Denmark; Center for Neuropsychiatric Schizophrenia Research, CNSR, Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre, Glostrup, Denmark
| | - Mette Ødegaard Nielsen
- Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen, Denmark; Center for Neuropsychiatric Schizophrenia Research, CNSR, Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre, Glostrup, Denmark.
| |
Collapse
|
30
|
Newton R, Rouleau A, Nylander AG, Loze JY, Resemann HK, Steeves S, Crespo-Facorro B. Diverse definitions of the early course of schizophrenia-a targeted literature review. NPJ SCHIZOPHRENIA 2018; 4:21. [PMID: 30323274 PMCID: PMC6189105 DOI: 10.1038/s41537-018-0063-7] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Revised: 09/12/2018] [Accepted: 09/12/2018] [Indexed: 01/07/2023]
Abstract
Schizophrenia is a debilitating psychiatric disorder and patients experience significant comorbidity, especially cognitive and psychosocial deficits, already at the onset of disease. Previous research suggests that treatment during the earlier stages of disease reduces disease burden, and that a longer time of untreated psychosis has a negative impact on treatment outcomes. A targeted literature review was conducted to gain insight into the definitions currently used to describe patients with a recent diagnosis of schizophrenia in the early course of disease ('early' schizophrenia). A total of 483 relevant English-language publications of clinical guidelines and studies were identified for inclusion after searches of MEDLINE, MEDLINE In-Process, relevant clinical trial databases and Google for records published between January 2005 and October 2015. The extracted data revealed a wide variety of terminology and definitions used to describe patients with 'early' or 'recent-onset' schizophrenia, with no apparent consensus. The most commonly used criteria to define patients with early schizophrenia included experience of their first episode of schizophrenia or disease duration of less than 1, 2 or 5 years. These varied definitions likely result in substantial disparities of patient populations between studies and variable population heterogeneity. Better agreement on the definition of early schizophrenia could aid interpretation and comparison of studies in this patient population and consensus on definitions should allow for better identification and management of schizophrenia patients in the early course of their disease.
Collapse
Affiliation(s)
- Richard Newton
- Austin Health, University of Melbourne, Melbourne, VIC, Australia.,Peninsula Health, Frankston, VIC, Australia
| | | | | | | | | | | | - Benedicto Crespo-Facorro
- Department of Medicine & Psychiatry, University Hospital Marqués de Valdecilla, IDIVAL, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Santander, Spain
| |
Collapse
|
31
|
Boedhoe PS, Schmaal L, Abe Y, Alonso P, Ameis SH, Anticevic A, Arnold PD, Batistuzzo MC, Benedetti F, Beucke JC, Bollettini I, Bose A, Brem S, Calvo A, Calvo R, Cheng Y, Cho KIK, Ciullo V, Dallaspezia S, Denys D, Feusner JD, Fitzgerald KD, Fouche JP, Fridgeirsson EA, Gruner P, Hanna GL, Hibar DP, Hoexter MQ, Hu H, Huyser C, Jahanshad N, James A, Kathmann N, Kaufmann C, Koch K, Kwon JS, Lazaro L, Lochner C, Marsh R, Martínez-Zalacaín I, Mataix-Cols D, Menchón JM, Minuzzii L, Morer A, Nakamae T, Nakao T, Narayanaswamy JC, Nishida S, Nurmi E, O’neill J, Piacentini J, Piras F, Piras F, Reddy YJ, Reess TJ, Sakai Y, Sato JR, Simpson HB, Soreni N, Soriano-Mas C, Spalletta G, Stevens MC, Szeszko PR, Tolin DF, van Wingen GA, Venkatasubramanian G, Walitza S, Wang Z, Yun JY, Thompson PM, Stein DJ, van den Heuvel OA. Cortical Abnormalities Associated With Pediatric and Adult Obsessive-Compulsive Disorder: Findings From the ENIGMA Obsessive-Compulsive Disorder Working Group. Am J Psychiatry 2018; 175:453-462. [PMID: 29377733 PMCID: PMC7106947 DOI: 10.1176/appi.ajp.2017.17050485] [Citation(s) in RCA: 149] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
OBJECTIVE Brain imaging studies of structural abnormalities in OCD have yielded inconsistent results, partly because of limited statistical power, clinical heterogeneity, and methodological differences. The authors conducted meta- and mega-analyses comprising the largest study of cortical morphometry in OCD ever undertaken. METHOD T1-weighted MRI scans of 1,905 OCD patients and 1,760 healthy controls from 27 sites worldwide were processed locally using FreeSurfer to assess cortical thickness and surface area. Effect sizes for differences between patients and controls, and associations with clinical characteristics, were calculated using linear regression models controlling for age, sex, site, and intracranial volume. RESULTS In adult OCD patients versus controls, we found a significantly lower surface area for the transverse temporal cortex and a thinner inferior parietal cortex. Medicated adult OCD patients also showed thinner cortices throughout the brain. In pediatric OCD patients compared with controls, we found significantly thinner inferior and superior parietal cortices, but none of the regions analyzed showed significant differences in surface area. However, medicated pediatric OCD patients had lower surface area in frontal regions. Cohen's d effect sizes varied from -0.10 to -0.33. CONCLUSIONS The parietal cortex was consistently implicated in both adults and children with OCD. More widespread cortical thickness abnormalities were found in medicated adult OCD patients, and more pronounced surface area deficits (mainly in frontal regions) were found in medicated pediatric OCD patients. These cortical measures represent distinct morphological features and may be differentially affected during different stages of development and illness, and possibly moderated by disease profile and medication.
Collapse
Affiliation(s)
- Premika S.W. Boedhoe
- Department of Psychiatry, VU university medical center, Amsterdam, The Netherlands,Department of Anatomy & Neurosciences, VU university medical center, Amsterdam, The Netherlands,Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Lianne Schmaal
- Department of Psychiatry, VU university medical center, Amsterdam, The Netherlands,Amsterdam Neuroscience, Amsterdam, The Netherlands,Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Australia,Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Yoshinari Abe
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Pino Alonso
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute-IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain,Centro de Investigación Biomèdica en Red de Salud Mental (CIBERSAM), Barcelona, Spain,Department of Clinical Sciences, University of Barcelona, Spain
| | - Stephanie H. Ameis
- The Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health, Campbell Family Mental Health Research Institute, The Centre for Addiction and Mental Health, Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Canada,Centre for Brain and Mental Health, The Hospital for Sick Children, Toronto, Canada
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, U.S.A
| | - Paul D. Arnold
- Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada,Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Marcelo C. Batistuzzo
- Department of Psychiatry, Institute of Psychiatry, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Francesco Benedetti
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Jan C. Beucke
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Irene Bollettini
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Anushree Bose
- Obsessive-Compulsive Disorder (OCD) Clinic Department of Psychiatry National Institute of Mental Health & Neurosciences, Bangalore, India
| | - Silvia Brem
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Anna Calvo
- Magnetic Resonance Image Core Facility, IDIBAPS (Institut d’Investigacions Biomèdiques August Pi i Sunyer), Barcelona, Spain
| | - Rosa Calvo
- Centro de Investigación Biomèdica en Red de Salud Mental (CIBERSAM), Barcelona, Spain,Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic Universitari, Barcelona, Spain
| | - Yuqi Cheng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Kang Ik K. Cho
- Institute of Human Behavioral Medicine, SNU-MRC, Seoul, Republic of Korea
| | - Valentina Ciullo
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Sara Dallaspezia
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Damiaan Denys
- Amsterdam Neuroscience, Amsterdam, The Netherlands,Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands,Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Jamie D. Feusner
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, U.S.A
| | - Kate D. Fitzgerald
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, U.S.A
| | - Jean-Paul Fouche
- Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - Egill A. Fridgeirsson
- Amsterdam Neuroscience, Amsterdam, The Netherlands,Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Patricia Gruner
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, U.S.A
| | - Gregory L. Hanna
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, U.S.A
| | - Derrek P. Hibar
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA, U.S.A
| | - Marcelo Q. Hoexter
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Hao Hu
- Shanghai Mental Health Center Shanghai Jiao Tong University School of Medicine, PR China
| | - Chaim Huyser
- De Bascule, Academic Center for Child and Adolescent Psychiatry, Amsterdam, the Netherlands,Department of Child and Adolescent Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA, U.S.A
| | - Anthony James
- Department of Psychiatry, Oxford University, Oxford, U.K
| | - Norbert Kathmann
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Christian Kaufmann
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Kathrin Koch
- Department of Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Germany,TUM-Neuroimaging Center (TUM-NIC) of Klinikum rechts der Isar, Technische Universität München, Germany
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea,Department of Brain & Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Luisa Lazaro
- Centro de Investigación Biomèdica en Red de Salud Mental (CIBERSAM), Barcelona, Spain,Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic Universitari, Barcelona, Spain,Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain,Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Christine Lochner
- SU/UCT MRC Unit on Anxiety & Stress Disorders, Department of Psychiatry, University of Stellenbosch, South Africa
| | - Rachel Marsh
- Columbia University Medical College, Columbia University, New York, NY, U.S.A.,The New York State Psychiatric Institute, New York, NY, U.S.A
| | - Ignacio Martínez-Zalacaín
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute-IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain
| | - David Mataix-Cols
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - José M. Menchón
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute-IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain,Centro de Investigación Biomèdica en Red de Salud Mental (CIBERSAM), Barcelona, Spain,Department of Clinical Sciences, University of Barcelona, Spain
| | - Luciano Minuzzii
- Mood Disorders Clinic, St. Joseph’s HealthCare, Hamilton, Ontario, Canada
| | - Astrid Morer
- Centro de Investigación Biomèdica en Red de Salud Mental (CIBERSAM), Barcelona, Spain,Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic Universitari, Barcelona, Spain,Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Takashi Nakamae
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Tomohiro Nakao
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Janardhanan C. Narayanaswamy
- Obsessive-Compulsive Disorder (OCD) Clinic Department of Psychiatry National Institute of Mental Health & Neurosciences, Bangalore, India
| | - Seiji Nishida
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Erika Nurmi
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, U.S.A
| | - Joseph O’neill
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, U.S.A
| | - John Piacentini
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, U.S.A
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy,Centro Fermi - Museo Storico della Fisica e Centro Studi e Ricerche “Enrico Fermi”
| | - Federica Piras
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Y.C. Janardhan Reddy
- Obsessive-Compulsive Disorder (OCD) Clinic Department of Psychiatry National Institute of Mental Health & Neurosciences, Bangalore, India
| | - Tim J. Reess
- Department of Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Germany,TUM-Neuroimaging Center (TUM-NIC) of Klinikum rechts der Isar, Technische Universität München, Germany
| | - Yuki Sakai
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan,ATR Brain Information Communication Research Laboratory Group, Kyoto, Japan
| | - Joao R. Sato
- Center for Mathematics, Computing and Cognition, Universidade Federal do ABC, Santo Andre, Brazil
| | - H. Blair Simpson
- Columbia University Medical College, Columbia University, New York, NY, U.S.A.,Center for OCD and Related Disorders, New York State Psychiatric Institute, New York, NY, U.S.A
| | - Noam Soreni
- Anxiety Treatment and Research Center, St. Joseph’s HealthCare, Hamilton, Ontario, Canada
| | - Carles Soriano-Mas
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute-IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain,Centro de Investigación Biomèdica en Red de Salud Mental (CIBERSAM), Barcelona, Spain,Department of Psychobiology and Methodology of Health Sciences, Universitat Autònoma de Barcelona, Spain
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy,Beth K. and Stuart C. Yudofsky Division of Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
| | - Michael C. Stevens
- Yale University School of Medicine, New Haven, Connecticut, U.S.A.,Clinical Neuroscience and Development Laboratory, Olin Neuropsychiatry Research Center, Hartford, Connecticut, U.S.A
| | - Philip R. Szeszko
- Icahn School of Medicine at Mount Sinai, New York, U.S.A.,James J. Peters VA Medical Center, Bronx, New York, U.S.A
| | - David F. Tolin
- Yale University School of Medicine, New Haven, Connecticut, U.S.A.,Institute of Living/Hartford Hospital, Hartford, Connecticut, U.S.A
| | - Guido A. van Wingen
- Amsterdam Neuroscience, Amsterdam, The Netherlands,Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Ganesan Venkatasubramanian
- Obsessive-Compulsive Disorder (OCD) Clinic Department of Psychiatry National Institute of Mental Health & Neurosciences, Bangalore, India
| | - Susanne Walitza
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Zhen Wang
- Shanghai Mental Health Center Shanghai Jiao Tong University School of Medicine, PR China,Shanghai Key Laboratory of Psychotic Disorders, PR China
| | - Je-Yeon Yun
- Yeongeon Student Support Center, Seoul National University College of Medicine, Seoul, Republic of Korea,Seoul National University Hospital, Seoul, Republic of Korea
| | | | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA, U.S.A
| | - Dan J. Stein
- Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - Odile A. van den Heuvel
- Department of Psychiatry, VU university medical center, Amsterdam, The Netherlands,Department of Anatomy & Neurosciences, VU university medical center, Amsterdam, The Netherlands,Amsterdam Neuroscience, Amsterdam, The Netherlands
| | | |
Collapse
|
32
|
Cui Y, Liu B, Song M, Lipnicki DM, Li J, Xie S, Chen Y, Li P, Lu L, Lv L, Wang H, Yan H, Yan J, Zhang H, Zhang D, Jiang T. Auditory verbal hallucinations are related to cortical thinning in the left middle temporal gyrus of patients with schizophrenia. Psychol Med 2018; 48:115-122. [PMID: 28625224 DOI: 10.1017/s0033291717001520] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
BACKGROUND Auditory verbal hallucinations (AVHs) are one of the most common and severe symptoms of schizophrenia, but the neuroanatomical abnormalities underlying AVHs are not well understood. The present study aims to investigate whether AVHs are associated with cortical thinning. METHODS Participants were schizophrenia patients from four centers across China, 115 with AVHs and 93 without AVHs, as well as 261 healthy controls. All received 3 T T1-weighted brain scans, and whole brain vertex-wise cortical thickness was compared across groups. Correlations between AVH severity and cortical thickness were also determined. RESULTS The left middle part of the middle temporal gyrus (MTG) was significantly thinner in schizophrenia patients with AVHs than in patients without AVHs and healthy controls. Inferences were made using a false discovery rate approach with a threshold at p < 0.05. Left MTG thickness did not differ between patients without AVHs and controls. These results were replicated by a meta-analysis showing them to be consistent across the four centers. Cortical thickness of the left MTG was also found to be inversely correlated with hallucination severity across all schizophrenia patients. CONCLUSION The results of this multi-center study suggest that an abnormally thin left MTG could be involved in the pathogenesis of AVHs in schizophrenia.
Collapse
Affiliation(s)
- Y Cui
- Brainnetome Center,Institute of Automation,Chinese Academy of Sciences,Beijing,China
| | - B Liu
- Brainnetome Center,Institute of Automation,Chinese Academy of Sciences,Beijing,China
| | - M Song
- Brainnetome Center,Institute of Automation,Chinese Academy of Sciences,Beijing,China
| | - D M Lipnicki
- CHeBA (Centre for Healthy Brain Ageing), School of Psychiatry,University of New South Wales,Randwick, NSW,Australia
| | - J Li
- Brainnetome Center,Institute of Automation,Chinese Academy of Sciences,Beijing,China
| | - S Xie
- Brainnetome Center,Institute of Automation,Chinese Academy of Sciences,Beijing,China
| | - Y Chen
- Department of Psychiatry,Xijing Hospital,The Fourth Military Medical University,Xi'an,China
| | - P Li
- Peking University Sixth Hospital/Institute of Mental Health,Beijing,China
| | - L Lu
- Peking University Sixth Hospital/Institute of Mental Health,Beijing,China
| | - L Lv
- Department of Psychiatry,Henan Mental Hospital,The Second Affiliated Hospital of Xinxiang Medical University,Xinxiang,China
| | - H Wang
- Department of Psychiatry,Xijing Hospital,The Fourth Military Medical University,Xi'an,China
| | - H Yan
- Peking University Sixth Hospital/Institute of Mental Health,Beijing,China
| | - J Yan
- Peking University Sixth Hospital/Institute of Mental Health,Beijing,China
| | - H Zhang
- Department of Psychiatry,Henan Mental Hospital,The Second Affiliated Hospital of Xinxiang Medical University,Xinxiang,China
| | - D Zhang
- Peking University Sixth Hospital/Institute of Mental Health,Beijing,China
| | - T Jiang
- Brainnetome Center,Institute of Automation,Chinese Academy of Sciences,Beijing,China
| |
Collapse
|
33
|
Abstract
Auditory verbal hallucinations (AVH) are a frequently occurring phenomenon in the general population and are considered a psychotic symptom when presented in the context of a psychiatric disorder. Neuroimaging literature has shown that AVH are subserved by a variety of alterations in brain structure and function, which primarily concentrate around brain regions associated with the processing of auditory verbal stimuli and with executive control functions. However, the direction of association between AVH and brain function remains equivocal in certain research areas and needs to be carefully reviewed and interpreted. When AVH have significant impact on daily functioning, several efficacious treatments can be attempted such as antipsychotic medication, brain stimulation and cognitive-behavioural therapy. Interestingly, the neural correlates of these treatments largely overlap with brain regions involved in AVH. This suggests that the efficacy of treatment corresponds to a normalization of AVH-related brain activity. In this selected review, we give a compact yet comprehensive overview of the structural and functional neuroimaging literature on AVH, with a special focus on the neural correlates of efficacious treatment.
Collapse
Affiliation(s)
- M M Bohlken
- Department of Psychiatry,Brain Center Rudolf Magnus,University Medical Center Utrecht,3584CX Utrecht,The Netherlands
| | - K Hugdahl
- Department of Biological and Medical Psychology,University of Bergen,Bergen,Norway
| | - I E C Sommer
- Department of Psychiatry,Brain Center Rudolf Magnus,University Medical Center Utrecht,3584CX Utrecht,The Netherlands
| |
Collapse
|
34
|
Mørch-Johnsen L, Nesvåg R, Jørgensen KN, Lange EH, Hartberg CB, Haukvik UK, Kompus K, Westerhausen R, Osnes K, Andreassen OA, Melle I, Hugdahl K, Agartz I. Auditory Cortex Characteristics in Schizophrenia: Associations With Auditory Hallucinations. Schizophr Bull 2017; 43:75-83. [PMID: 27605526 PMCID: PMC5216858 DOI: 10.1093/schbul/sbw130] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
BACKGROUND Neuroimaging studies have demonstrated associations between smaller auditory cortex volume and auditory hallucinations (AH) in schizophrenia. Reduced cortical volume can result from a reduction of either cortical thickness or cortical surface area, which may reflect different neuropathology. We investigate for the first time how thickness and surface area of the auditory cortex relate to AH in a large sample of schizophrenia spectrum patients. METHODS Schizophrenia spectrum (n = 194) patients underwent magnetic resonance imaging. Mean cortical thickness and surface area in auditory cortex regions (Heschl's gyrus [HG], planum temporale [PT], and superior temporal gyrus [STG]) were compared between patients with (AH+, n = 145) and without (AH-, n = 49) a lifetime history of AH and 279 healthy controls. RESULTS AH+ patients showed significantly thinner cortex in the left HG compared to AH- patients (d = 0.43, P = .0096). There were no significant differences between AH+ and AH- patients in cortical thickness in the PT or STG, or in auditory cortex surface area in any of the regions investigated. Group differences in cortical thickness in the left HG was not affected by duration of illness or current antipsychotic medication. CONCLUSIONS AH in schizophrenia patients were related to thinner cortex, but not smaller surface area of the left HG, a region which includes the primary auditory cortex. The results support that structural abnormalities of the auditory cortex underlie AH in schizophrenia.
Collapse
Affiliation(s)
- Lynn Mørch-Johnsen
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway; .,NORMENT and K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ragnar Nesvåg
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway;,Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
| | - Kjetil N. Jørgensen
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway;,NORMENT and K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Elisabeth H. Lange
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway;,NORMENT and K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Cecilie B. Hartberg
- NORMENT and K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Unn K. Haukvik
- NORMENT and K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kristiina Kompus
- NORMENT, Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
| | | | - Kåre Osnes
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Ole A. Andreassen
- NORMENT and K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway;,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Ingrid Melle
- NORMENT and K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway;,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Kenneth Hugdahl
- NORMENT, Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway;,Division of Psychiatry and Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Ingrid Agartz
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway;,NORMENT and K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| |
Collapse
|