1
|
Perez-Rando M, García-Martí G, Escarti MJ, Salgado-Pineda P, McKenna PJ, Pomarol-Clotet E, Grasa E, Postiguillo A, Corripio I, Nacher J. Alterations in the volume and shape of the basal ganglia and thalamus in schizophrenia with auditory hallucinations. Prog Neuropsychopharmacol Biol Psychiatry 2024; 131:110960. [PMID: 38325744 DOI: 10.1016/j.pnpbp.2024.110960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 01/31/2024] [Accepted: 02/03/2024] [Indexed: 02/09/2024]
Abstract
Different lines of evidence indicate that the structure and physiology of the basal ganglia and the thalamus is disturbed in schizophrenia. However, it is unknown whether the volume and shape of these subcortical structures are affected in schizophrenia with auditory hallucinations (AH), a core positive symptom of the disorder. We took structural MRI from 63 patients with schizophrenia, including 36 patients with AH and 27 patients who had never experienced AH (NAH), and 51 matched healthy controls. We extracted volumes for the left and right thalamus, globus pallidus, putamen, caudate and nucleus accumbens. Shape analysis was also carried out. When comparing to controls, the volume of the right globus pallidus, thalamus, and putamen, was only affected in AH patients. The volume of the left putamen was also increased in individuals with AH, whereas the left globus pallidus was affected in both groups of patients. The shapes of right and left putamen and thalamus were also affected in both groups. The shape of the left globus pallidus was only altered in patients lacking AH, both in comparison to controls and to cases with AH. Lastly, the general PANSS subscale was correlated with the volume of the right thalamus, and the right and left putamen, in patients with AH. We have found volume and shape alterations of many basal ganglia and thalamus in patients with and without AH, suggesting in some cases a possible relationship between this positive symptom and these morphometric alterations.
Collapse
Affiliation(s)
- Marta Perez-Rando
- Institute of Biotechnology and Biomedicine (BIOTECMED), Universitat de València, Burjassot, Spain; CIBERSAM, ISCIII Spanish National Network for Research in Mental Health, Madrid, Spain; Biomedical Research Institute of Valencia (INCLIVA), Valencia, Spain.
| | - Gracián García-Martí
- CIBERSAM, ISCIII Spanish National Network for Research in Mental Health, Madrid, Spain; Quironsalud Hospital, Valencia, Spain
| | - Maria J Escarti
- CIBERSAM, ISCIII Spanish National Network for Research in Mental Health, Madrid, Spain; Biomedical Research Institute of Valencia (INCLIVA), Valencia, Spain; Servicio de Psiquiatría, Hospital Clínico Universitario de Valencia, Valencia, Spain
| | - Pilar Salgado-Pineda
- CIBERSAM, ISCIII Spanish National Network for Research in Mental Health, Madrid, Spain; FIDMAG Germanes Hospitalàries Research Foundation, Spain
| | - Peter J McKenna
- CIBERSAM, ISCIII Spanish National Network for Research in Mental Health, Madrid, Spain; FIDMAG Germanes Hospitalàries Research Foundation, Spain
| | - Edith Pomarol-Clotet
- CIBERSAM, ISCIII Spanish National Network for Research in Mental Health, Madrid, Spain; FIDMAG Germanes Hospitalàries Research Foundation, Spain
| | - Eva Grasa
- CIBERSAM, ISCIII Spanish National Network for Research in Mental Health, Madrid, Spain; Mental Health, Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Sant Quintí, Barcelona, Spain
| | - Alba Postiguillo
- Biomedical Research Institute of Valencia (INCLIVA), Valencia, Spain
| | - Iluminada Corripio
- CIBERSAM, ISCIII Spanish National Network for Research in Mental Health, Madrid, Spain; Mental Health and Psychiatry Department, Vic Hospital Consortium, Francesc Pla, Vic, Spain
| | - Juan Nacher
- Institute of Biotechnology and Biomedicine (BIOTECMED), Universitat de València, Burjassot, Spain; CIBERSAM, ISCIII Spanish National Network for Research in Mental Health, Madrid, Spain; Biomedical Research Institute of Valencia (INCLIVA), Valencia, Spain.
| |
Collapse
|
2
|
Işıklar S, Sağlam D. Volumetric analysis of age- and sex-related changes in the corpus striatum and thalamus in the 1-18 age group: a retrospective magnetic resonance imaging study. Cereb Cortex 2024; 34:bhae142. [PMID: 38602741 DOI: 10.1093/cercor/bhae142] [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: 01/25/2024] [Revised: 03/16/2024] [Accepted: 03/17/2024] [Indexed: 04/12/2024] Open
Abstract
Studies of the development and asymmetry of the corpus striatum and thalamus in early childhood are rare. Studies investigating these structures across the lifespan have not presented their changes during childhood and adolescence in detail. For these reasons, this study investigated the effect of age and sex factors on the development and asymmetry of the corpus striatum and thalamus in the 1-18 age group. In this retrospective study, we included 652 individuals [362 (56%) males] aged 1-18 years with normal brain MRI between 2012 and 2021. Absolute and relative volumes of the corpus striatum and thalamus were obtained by segmentation of three-dimensional T1-weighted MRIs with volBrain1.0. We created age-specific volume data and month-based development models with the help of SPSS (ver.28). The corpus striatum and thalamus had cubic absolute volumetric developmental models. The relative volume of the caudate and thalamus (only males) is consistent with the decreasing "growth" model, the others with the decreasing cubic model. The absolute volumes of the males' bilateral corpus striatum and thalamus and the relative volumes of the caudate and thalamus of the females were significantly larger (P < 0.05). The caudate showed right > left lateralization; putamen, globus pallidus, and thalamus showed left > right lateralization.
Collapse
Affiliation(s)
- Sefa Işıklar
- Medical Imaging Techniques Program, Vocational School of Health Services, Bursa Uludag University, Bursa 16059, Turkey
| | - Dilek Sağlam
- Department of Radiology, Faculty of Medicine, Bursa Uludag University, Bursa 16059, Turkey
| |
Collapse
|
3
|
Kong L, Lui SSY, Wang Y, Hung KSY, Ho KKH, Wang Y, Huang J, Mak HKF, Sham PC, Cheung EFC, Chan RCK. Structural network alterations and their association with neurological soft signs in schizophrenia: Evidence from clinical patients and unaffected siblings. Schizophr Res 2022; 248:345-352. [PMID: 34872833 DOI: 10.1016/j.schres.2021.11.042] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 09/24/2021] [Accepted: 11/26/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND Grey matter abnormalities and neurological soft signs (NSS) have been found in schizophrenia patients and their unaffected relatives. Evidence suggested that NSS are associated with grey matter morphometrical alterations in multiple regions in schizophrenia. However, the association between NSS and structural abnormalities at network level remains largely unexplored, especially in the schizophrenia and unaffected siblings. METHOD We used source-based morphometry (SBM) to examine the association of structural brain network characteristics with NSS in 62 schizophrenia patients, 25 unaffected siblings, and 60 healthy controls. RESULTS Two components, namely the IC-5 (superior temporal gyrus, inferior frontal gyrus and insula network) and the IC-10 (parahippocampal gyrus, fusiform, thalamus and insula network) showed significant grey matter reductions in schizophrenia patients compared to healthy controls and unaffected siblings. Further association analysis demonstrated separate NSS-related grey matter covarying patterns in schizophrenia, unaffected siblings and healthy controls. Specifically, NSS were negatively associated with IC-1 (hippocampus, caudate and thalamus network) and IC-5 in schizophrenia, but with IC-3 (caudate, superior and middle frontal cortices network) in unaffected siblings and with IC-5 in healthy controls. CONCLUSION Our results confirmed the key cortical and subcortical network abnormalities and NSS-related grey matter covarying patterns in the schizophrenia and unaffected siblings. Our findings suggest that brain regions implicating genetic liability to schizophrenia are partly separated from brain regions implicating neural abnormalities.
Collapse
Affiliation(s)
- Li Kong
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, Shanghai Normal University, Shanghai, China
| | - Simon S Y Lui
- Department of Psychiatry, The University of Hong Kong, Hong Kong, China; Castle Peak Hospital, Hong Kong, China
| | - Ya Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, the University of Chinese Academy of Sciences, Beijing, China
| | | | | | - Yi Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, the University of Chinese Academy of Sciences, Beijing, China
| | - Jia Huang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, the University of Chinese Academy of Sciences, Beijing, China
| | - Henry K F Mak
- Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, China; State Key Laboratory of Brain and Cognitive Sciences, the University of Hong Kong, Hong Kong, China
| | - Pak C Sham
- Department of Psychiatry, The University of Hong Kong, Hong Kong, China; State Key Laboratory of Brain and Cognitive Sciences, the University of Hong Kong, Hong Kong, China; Centre for PanorOmic Sciences, the University of Hong Kong, Hong Kong, China
| | | | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, the University of Chinese Academy of Sciences, Beijing, China.
| |
Collapse
|
4
|
Alden EC, Smith MJ, Reilly JL, Wang L, Csernansky JG, Cobia DJ. Shape features of working memory-related deep-brain regions differentiate high and low community functioning in schizophrenia. Schizophr Res Cogn 2022; 29:100250. [PMID: 35368990 PMCID: PMC8968669 DOI: 10.1016/j.scog.2022.100250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 03/19/2022] [Accepted: 03/19/2022] [Indexed: 11/06/2022]
Abstract
We have previously shown that schizophrenia (SCZ) participants with high community functioning demonstrate better verbal working memory (vWM) performance relative to those with low community functioning. In the present study, we investigated whether neuroanatomical differences in regions supporting vWM also exist between schizophrenia groups that vary on community functioning. Utilizing magnetic resonance imaging, shape features of deep-brain nuclei known to be involved in vWM were calculated in samples of high functioning (HF-SCZ, n = 23) and low functioning schizophrenia participants (LF-SCZ, n = 18), as well as in a group of healthy control participants (CON, n = 45). Large deformation diffeomorphic metric mapping was employed to characterize surface anatomy of the caudate nucleus, globus pallidus, hippocampus, and thalamus. Statistical analyses involved linear mixed-effects models and vertex-wise contrast mapping to assess between-group differences in structural shape features, and Pearson correlations to evaluate relationships between shape metrics and vWM performance. We found significant between-group main effects in deep-brain surface anatomy across all structures. Post-hoc comparisons revealed HF-SCZ and LF-SCZ groups significantly differed on both caudate and hippocampal shape, however, significant correlations with vWM were only observed in hippocampal shape for both SCZ groups. Specifically, more abnormal hippocampal deformation was associated with lower vWM suggesting hippocampal shape is both a neural substrate for vWM deficits and a potential biomarker to predict or monitor the efficacy of cognitive rehabilitation. These findings add to a growing body of literature related to functional outcomes in schizophrenia by demonstrating unique shape patterns across the spectrum of community functioning in SCZ. Deep-brain abnormalities are present in patients regardless of functional severity. Caudate and hippocampal shape differ between community functioning-based groups. Verbal working memory relates to hippocampal shape in both patient groups.
Collapse
Affiliation(s)
- Eva C Alden
- Northwestern University Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences, 710 N Lake Shore Drive, Chicago, IL 60611, USA.,Division of Neurocognitive Disorders, Department of Psychiatry and Psychology, Mayo Clinic, 200 First Street SW, Rochester, MN 55904, USA
| | - Matthew J Smith
- School of Social Work, University of Michigan, 1080 South University Avenue, Ann Arbor, MI, USA
| | - James L Reilly
- Northwestern University Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences, 710 N Lake Shore Drive, Chicago, IL 60611, USA
| | - Lei Wang
- Northwestern University Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences, 710 N Lake Shore Drive, Chicago, IL 60611, USA.,Department of Psychiatry and Behavioral Health, Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - John G Csernansky
- Northwestern University Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences, 710 N Lake Shore Drive, Chicago, IL 60611, USA
| | - Derin J Cobia
- Northwestern University Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences, 710 N Lake Shore Drive, Chicago, IL 60611, USA.,Department of Psychology and Neuroscience Center, Brigham Young University, Provo, UT, USA
| |
Collapse
|
5
|
Gutman BA, van Erp TG, Alpert K, Ching CRK, Isaev D, Ragothaman A, Jahanshad N, Saremi A, Zavaliangos‐Petropulu A, Glahn DC, Shen L, Cong S, Alnæs D, Andreassen OA, Doan NT, Westlye LT, Kochunov P, Satterthwaite TD, Wolf DH, Huang AJ, Kessler C, Weideman A, Nguyen D, Mueller BA, Faziola L, Potkin SG, Preda A, Mathalon DH, Bustillo J, Calhoun V, Ford JM, Walton E, Ehrlich S, Ducci G, Banaj N, Piras F, Piras F, Spalletta G, Canales‐Rodríguez EJ, Fuentes‐Claramonte P, Pomarol‐Clotet E, Radua J, Salvador R, Sarró S, Dickie EW, Voineskos A, Tordesillas‐Gutiérrez D, Crespo‐Facorro B, Setién‐Suero E, van Son JM, Borgwardt S, Schönborn‐Harrisberger F, Morris D, Donohoe G, Holleran L, Cannon D, McDonald C, Corvin A, Gill M, Filho GB, Rosa PGP, Serpa MH, Zanetti MV, Lebedeva I, Kaleda V, Tomyshev A, Crow T, James A, Cervenka S, Sellgren CM, Fatouros‐Bergman H, Agartz I, Howells F, Stein DJ, Temmingh H, Uhlmann A, de Zubicaray GI, McMahon KL, Wright M, Cobia D, Csernansky JG, Thompson PM, Turner JA, Wang L. A meta-analysis of deep brain structural shape and asymmetry abnormalities in 2,833 individuals with schizophrenia compared with 3,929 healthy volunteers via the ENIGMA Consortium. Hum Brain Mapp 2022; 43:352-372. [PMID: 34498337 PMCID: PMC8675416 DOI: 10.1002/hbm.25625] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 07/13/2021] [Accepted: 07/14/2021] [Indexed: 01/06/2023] Open
Abstract
Schizophrenia is associated with widespread alterations in subcortical brain structure. While analytic methods have enabled more detailed morphometric characterization, findings are often equivocal. In this meta-analysis, we employed the harmonized ENIGMA shape analysis protocols to collaboratively investigate subcortical brain structure shape differences between individuals with schizophrenia and healthy control participants. The study analyzed data from 2,833 individuals with schizophrenia and 3,929 healthy control participants contributed by 21 worldwide research groups participating in the ENIGMA Schizophrenia Working Group. Harmonized shape analysis protocols were applied to each site's data independently for bilateral hippocampus, amygdala, caudate, accumbens, putamen, pallidum, and thalamus obtained from T1-weighted structural MRI scans. Mass univariate meta-analyses revealed more-concave-than-convex shape differences in the hippocampus, amygdala, accumbens, and thalamus in individuals with schizophrenia compared with control participants, more-convex-than-concave shape differences in the putamen and pallidum, and both concave and convex shape differences in the caudate. Patterns of exaggerated asymmetry were observed across the hippocampus, amygdala, and thalamus in individuals with schizophrenia compared to control participants, while diminished asymmetry encompassed ventral striatum and ventral and dorsal thalamus. Our analyses also revealed that higher chlorpromazine dose equivalents and increased positive symptom levels were associated with patterns of contiguous convex shape differences across multiple subcortical structures. Findings from our shape meta-analysis suggest that common neurobiological mechanisms may contribute to gray matter reduction across multiple subcortical regions, thus enhancing our understanding of the nature of network disorganization in schizophrenia.
Collapse
Affiliation(s)
- Boris A. Gutman
- Department of Biomedical EngineeringIllinois Institute of TechnologyChicagoIllinoisUSA
- Institute for Information Transmission Problems (Kharkevich Institute)MoscowRussia
| | - Theo G.M. van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human BehaviorUniversity of California IrvineIrvineCaliforniaUSA
- Center for the Neurobiology of Learning and MemoryUniversity of California IrvineIrvineCaliforniaUSA
| | - Kathryn Alpert
- Department of Psychiatry and Behavioral SciencesNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Christopher R. K. Ching
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Dmitry Isaev
- Department of Biomedical EngineeringDuke UniversityDurhamNorth CarolinaUSA
| | - Anjani Ragothaman
- Department of biomedical engineeringOregon Health and Science universityPortlandOregonUSA
| | - Neda Jahanshad
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Arvin Saremi
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Artemis Zavaliangos‐Petropulu
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - David C. Glahn
- Department of PsychiatryBoston Children's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Li Shen
- Department of Biostatistics, Epidemiology and InformaticsUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Shan Cong
- Department of Biostatistics, Epidemiology and InformaticsUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Dag Alnæs
- NORMENT, Division of Mental Health and AddictionOslo University Hospital & Institute of Clinical Medicine, University of OsloOsloNorway
| | - Ole Andreas Andreassen
- NORMENT, Division of Mental Health and AddictionOslo University Hospital & Institute of Clinical Medicine, University of OsloOsloNorway
| | - Nhat Trung Doan
- NORMENT, Division of Mental Health and AddictionOslo University Hospital & Institute of Clinical Medicine, University of OsloOsloNorway
| | - Lars T. Westlye
- NORMENT, Division of Mental Health and AddictionOslo University Hospital & Institute of Clinical Medicine, University of OsloOsloNorway
- Department of PsychologyUniversity of OsloOsloNorway
| | - Peter Kochunov
- Department of PsychiatryUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | - Theodore D. Satterthwaite
- Department of PsychiatryUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Daniel H. Wolf
- Department of PsychiatryUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Alexander J. Huang
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human BehaviorUniversity of California IrvineIrvineCaliforniaUSA
| | - Charles Kessler
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human BehaviorUniversity of California IrvineIrvineCaliforniaUSA
| | - Andrea Weideman
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human BehaviorUniversity of California IrvineIrvineCaliforniaUSA
| | - Dana Nguyen
- Department of PediatricsUniversity of California IrvineIrvineCaliforniaUSA
| | - Bryon A. Mueller
- Department of Psychiatry and Behavioral SciencesUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Lawrence Faziola
- Department of Psychiatry and Human BehaviorUniversity of California IrvineIrvineCaliforniaUSA
| | - Steven G. Potkin
- Department of Psychiatry and Human BehaviorUniversity of California IrvineIrvineCaliforniaUSA
| | - Adrian Preda
- Department of Psychiatry and Human BehaviorUniversity of California IrvineIrvineCaliforniaUSA
| | - Daniel H. Mathalon
- Department of Psychiatry and Weill Institute for NeurosciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Judith Ford Mental HealthVA San Francisco Healthcare SystemSan FranciscoCaliforniaUSA
| | - Juan Bustillo
- Departments of Psychiatry & NeuroscienceUniversity of New MexicoAlbuquerqueNew MexicoUSA
| | - Vince Calhoun
- Tri‐institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) [Georgia State University, Georgia Institute of Technology]Emory UniversityAtlantaGeorgiaUSA
- Department of Electrical and Computer EngineeringThe University of New MexicoAlbuquerqueNew MexicoUSA
| | - Judith M. Ford
- Judith Ford Mental HealthVA San Francisco Healthcare SystemSan FranciscoCaliforniaUSA
- Department of Psychiatry and Behavioral SciencesUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | | | - Stefan Ehrlich
- Division of Psychological & Social Medicine and Developmental NeurosciencesFaculty of Medicine, TU‐DresdenDresdenGermany
| | | | - Nerisa Banaj
- Laboratory of NeuropsychiatryIRCCS Santa Lucia FoundationRomeItaly
| | - Fabrizio Piras
- Laboratory of NeuropsychiatryIRCCS Santa Lucia FoundationRomeItaly
| | - Federica Piras
- Laboratory of NeuropsychiatryIRCCS Santa Lucia FoundationRomeItaly
| | - Gianfranco Spalletta
- Laboratory of NeuropsychiatryIRCCS Santa Lucia FoundationRomeItaly
- Menninger Department of Psychiatry and Behavioral SciencesBaylor College of MedicineHoustonTexasUSA
| | | | | | | | - Joaquim Radua
- FIDMAG Germanes Hospitalàries Research FoundationCIBERSAMBarcelonaSpain
- Institut d'Investigacions Biomdiques August Pi i Sunyer (IDIBAPS)BarcelonaSpain
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research FoundationCIBERSAMBarcelonaSpain
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research FoundationCIBERSAMBarcelonaSpain
| | - Erin W. Dickie
- Centre for Addiction and Mental Health (CAMH)TorontoCanada
| | | | | | | | | | | | - Stefan Borgwardt
- Department of PsychiatryUniversity of BaselBaselSwitzerland
- Department of Psychiatry and PsychotherapyUniversity of LübeckLübeckGermany
| | | | - Derek Morris
- Centre for Neuroimaging and Cognitive Genomics, Discipline of BiochemistryNational University of Ireland GalwayGalwayIreland
| | - Gary Donohoe
- Centre for Neuroimaging and Cognitive Genomics, School of PsychologyNational University of Ireland GalwayGalwayIreland
| | - Laurena Holleran
- Centre for Neuroimaging and Cognitive Genomics, School of PsychologyNational University of Ireland GalwayGalwayIreland
| | - Dara Cannon
- Clinical Neuroimaging Laboratory, Centre for Neuroimaging and Cognitive GenomicsNational University of Ireland GalwayGalwayIreland
| | - Colm McDonald
- Clinical Neuroimaging Laboratory, Centre for Neuroimaging and Cognitive GenomicsNational University of Ireland GalwayGalwayIreland
| | - Aiden Corvin
- Neuropsychiatric Genetics Research Group, Department of PsychiatryTrinity College DublinDublinIreland
- Trinity College Institute of NeuroscienceTrinity College DublinDublinIreland
| | - Michael Gill
- Neuropsychiatric Genetics Research Group, Department of PsychiatryTrinity College DublinDublinIreland
- Trinity College Institute of NeuroscienceTrinity College DublinDublinIreland
| | - Geraldo Busatto Filho
- Laboratory of Psychiatric Neuroimaging (LIM‐21), Departamento e Instituto de PsiquiatriaHospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao PauloSao PauloSPBrazil
| | - Pedro G. P. Rosa
- Laboratory of Psychiatric Neuroimaging (LIM‐21), Departamento e Instituto de PsiquiatriaHospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao PauloSao PauloSPBrazil
| | - Mauricio H. Serpa
- Laboratory of Psychiatric Neuroimaging (LIM‐21), Departamento e Instituto de PsiquiatriaHospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao PauloSao PauloSPBrazil
| | - Marcus V. Zanetti
- Laboratory of Psychiatric Neuroimaging (LIM‐21), Departamento e Instituto de PsiquiatriaHospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao PauloSao PauloSPBrazil
- Hospital Sirio‐LibanesSao PauloSPBrazil
| | - Irina Lebedeva
- Laboratory of Neuroimaging and Multimodal AnalysisMental Health Research CenterMoscowRussia
| | - Vasily Kaleda
- Department of Endogenous Mental DisordersMental Health Research CenterMoscowRussia
| | - Alexander Tomyshev
- Laboratory of Neuroimaging and Multimodal AnalysisMental Health Research CenterMoscowRussia
| | - Tim Crow
- Department of PsychiatryUniversity of OxfordOxfordUK
| | - Anthony James
- Department of PsychiatryUniversity of OxfordOxfordUK
| | - Simon Cervenka
- Centre for Psychiatry Reserach, Department of Clinical NeuroscienceKarolinska Institutet, & Stockholm Health Care Services, Region StockholmStockholmSweden
| | - Carl M Sellgren
- Department of Physiology and PharmacologyKarolinska InstitutetStockholmSweden
| | - Helena Fatouros‐Bergman
- Centre for Psychiatry Reserach, Department of Clinical NeuroscienceKarolinska Institutet, & Stockholm Health Care Services, Region StockholmStockholmSweden
| | - Ingrid Agartz
- NORMENT, Division of Mental Health and AddictionOslo University Hospital & Institute of Clinical Medicine, University of OsloOsloNorway
| | - Fleur Howells
- Department of Psychiatry and Mental Health, Faculty of Health SciencesUniversity of Cape TownCape TownWCSouth Africa
- Neuroscience InstituteUniversity of Cape Town, Cape TownWCSouth Africa
| | - Dan J. Stein
- Department of Psychiatry and Mental Health, Faculty of Health SciencesUniversity of Cape TownCape TownWCSouth Africa
- Neuroscience InstituteUniversity of Cape Town, Cape TownWCSouth Africa
- SA MRC Unit on Risk & Resilience in Mental DisordersUniversity of Cape TownCape TownWCSouth Africa
| | - Henk Temmingh
- Department of Psychiatry and Mental Health, Faculty of Health SciencesUniversity of Cape TownCape TownWCSouth Africa
| | - Anne Uhlmann
- Department of Psychiatry and Mental Health, Faculty of Health SciencesUniversity of Cape TownCape TownWCSouth Africa
- Department of Child and Adolescent PsychiatryTU DresdenGermany
| | - Greig I. de Zubicaray
- School of Psychology, Faculty of HealthQueensland University of Technology (QUT)BrisbaneQLDAustralia
| | - Katie L. McMahon
- School of Clinical SciencesQueensland University of Technology (QUT)BrisbaneQLDAustralia
| | - Margie Wright
- Queensland Brain InstituteUniversity of QueenslandBrisbaneQLDAustralia
| | - Derin Cobia
- Department of Psychiatry and Behavioral SciencesNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
- Department of Psychology and Neuroscience CenterBrigham Young UniversityProvoUtahUSA
| | - John G. Csernansky
- Department of Psychiatry and Behavioral SciencesNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Paul M. Thompson
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | | | - Lei Wang
- Department of Psychiatry and Behavioral SciencesNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
- Department of Psychiatry and Behavioral HealthOhio State University Wexner Medical CenterColumbusOhioUSA
| |
Collapse
|
6
|
Cobia D, Rich C, Smith MJ, Mamah D, Csernansky JG, Wang L. Basal ganglia shape features differentiate schizoaffective disorder from schizophrenia. Psychiatry Res Neuroimaging 2021; 317:111352. [PMID: 34399283 PMCID: PMC8545830 DOI: 10.1016/j.pscychresns.2021.111352] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2020] [Revised: 06/14/2021] [Accepted: 07/30/2021] [Indexed: 01/18/2023]
Abstract
There is growing evidence that schizophrenia and schizoaffective disorder represent closely related syndromes that vary in severity along a neurobiological continuum. In the present study, volume and shape of the basal ganglia was examined in people with schizophrenia and schizoaffective disorder relative to healthy controls and hypothesized that unique neuroanatomical differences would be observed in each patient group. Magnetic resonance 1.5T images were obtained from schizophrenia (n = 47), schizoaffective disorder (n = 15), and from healthy control (n = 42) participants, matched for age, gender, parental socioeconomic status, and race. The caudate, putamen, and globus pallidus were characterized using high-dimensional brain mapping procedures (Csernansky et al., 2004b). Results revealed significant shape deformations between schizophrenia and schizoaffective disorder that also differed from control subjects. Relative to schizophrenia, schizoaffective subjects showed exaggerated inward deformations indicative of localized volume loss in subregions of the caudate, putamen, and globus pallidus (all p < 0.001). These shape features correlated with mental flexibility and negative symptoms in schizophrenia (all p < 0.05), but not schizoaffective disorder. To the extent that differences in important basal ganglia substructures reflect biological heterogeneity among these two psychotic illnesses, this data could prove useful in improving diagnostic precision, as well as informing the affective component of mental illness.
Collapse
Affiliation(s)
- Derin Cobia
- Department of Psychology and Neuroscience Center, Brigham Young University, 1036 KMBL, Provo, UT 84602, USA; Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
| | - Chaz Rich
- Department of Psychology, University of Notre Dame, Notre Dame, Indiana, USA
| | - Matthew J Smith
- School of Social Work, University of Michigan, Ann Arbor, Michigan, USA
| | - Daniel Mamah
- Department of Psychiatry, Washington University, St. Louis, Missouri, USA
| | - John G Csernansky
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA; Department of Psychiatry and Behavioral Health, Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| |
Collapse
|
7
|
Early magnetic resonance imaging biomarkers of schizophrenia spectrum disorders: Toward a fetal imaging perspective. Dev Psychopathol 2021; 33:899-913. [PMID: 32489161 DOI: 10.1017/s0954579420000218] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
There is mounting evidence to implicate the intrauterine environment as the initial pathogenic stage for neuropsychiatric disease. Recent developments in magnetic resonance imaging technology are making a multimodal analysis of the fetal central nervous system a reality, allowing analysis of structural and functional parameters. Exposures to a range of pertinent risk factors whether preconception or in utero can now be indexed using imaging techniques within the fetus' physiological environment. This approach may determine the first "hit" required for diseases that do not become clinically manifest until adulthood, and which only have subtle clinical markers during childhood and adolescence. A robust characterization of a "multi-hit" hypothesis may necessitate a longitudinal birth cohort; within this investigative paradigm, the full range of genetic and environmental risk factors can be assessed for their impact on the early developing brain. This will lay the foundation for the identification of novel biomarkers and the ability to devise methods for early risk stratification and disease prevention. However, these early markers must be followed over time: first, to account for neural plasticity, and second, to assess the effects of postnatal exposures that continue to drive the individual toward disease. We explore these issues using the schizophrenia spectrum disorders as an illustrative paradigm. However, given the potential richness of fetal magnetic resonance imaging, and the likely overlap of biomarkers, these concepts may extend to a range of neuropsychiatric conditions.
Collapse
|
8
|
Meller T, Ettinger U, Grant P, Nenadić I. The association of striatal volume and positive schizotypy in healthy subjects: intelligence as a moderating factor. Psychol Med 2020; 50:2355-2363. [PMID: 31530329 DOI: 10.1017/s0033291719002459] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
BACKGROUND Schizotypy, a putative schizophrenia endophenotype, has been associated with brain-structural variations partly overlapping with those in psychotic disorders. Variations in precuneus structure have been repeatedly reported, whereas the involvement of fronto-striatal networks - as in schizophrenia - is less clear. While shared genetic architecture is thought to increase vulnerability to environmental insults, beneficial factors like general intelligence might buffer their effect. METHODS To further investigate the role of fronto-striatal networks in schizotypy, we examined the relationship of voxel- and surface-based brain morphometry and a measure of schizotypal traits (Schizotypal Personality Questionnaire, with subscores Cognitive-Perceptual, Interpersonal, Disorganised) in 115 healthy participants [54 female, mean age (s.d.) = 27.57(8.02)]. We tested intelligence (MWT-B) as a potential moderator. RESULTS We found a positive association of SPQ Cognitive-Perceptual with putamen volume (p = 0.040, FWE peak level-corrected), moderated by intelligence: with increasing IQ, the correlation of SPQ Cognitive-Perceptual and striatal volume decreased (p = 0.022). SPQ Disorganised was positively correlated with precentral volume (p = 0.013, FWE peak level-corrected). In an exploratory analysis (p < 0.001, uncorrected), SPQ total score was positively associated with gyrification in the precuneus and postcentral gyrus, and SPQ Disorganised was negatively associated with gyrification in the inferior frontal gyrus. CONCLUSIONS Our findings support the role of fronto-striatal networks for schizotypal features in healthy individuals, and suggest that these are influenced by buffering factors like intelligence. We conclude that protective factors, like general cognitive capacity, might attenuate the psychosis risk associated with schizotypy. These results endorse the idea of a continuous nature of schizotypy, mirroring similar findings in schizophrenia.
Collapse
Affiliation(s)
- Tina Meller
- Cognitive Neuropsychiatry lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35039Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032Marburg, Germany
| | - Ulrich Ettinger
- Department of Psychology, University of Bonn, Kaiser-Karl-Ring 9, 53111Bonn, Germany
| | - Phillip Grant
- Psychology School, Fresenius University of Applied Sciences, Marienburgstr. 6, 60528Frankfurt am Main, Germany
- Faculty of Life Science Engineering, Technische Hochschule Mittelhessen University of Applied Sciences, Giessen, Germany
| | - Igor Nenadić
- Cognitive Neuropsychiatry lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35039Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032Marburg, Germany
- Marburg University Hospital - UKGM, Rudolf-Bultmann-Str. 8, 35039Marburg, Germany
| |
Collapse
|
9
|
Jacob A, Tward DJ, Resnick S, Smith PF, Lopez C, Rebello E, Wei EX, Ratnanather JT, Agrawal Y. Vestibular function and cortical and sub-cortical alterations in an aging population. Heliyon 2020; 6:e04728. [PMID: 32904672 PMCID: PMC7457317 DOI: 10.1016/j.heliyon.2020.e04728] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 10/10/2019] [Accepted: 08/12/2020] [Indexed: 01/26/2023] Open
Abstract
While it is well known that the vestibular system is responsible for maintaining balance, posture and coordination, there is increasing evidence that it also plays an important role in cognition. Moreover, a growing number of epidemiological studies are demonstrating a link between vestibular dysfunction and cognitive deficits in older adults; however, the exact pathways through which vestibular loss may affect cognition are unknown. In this cross-sectional study, we sought to identify relationships between vestibular function and variation in morphometry in brain structures from structural neuroimaging. We used a subset of 80 participants from the Baltimore Longitudinal Study of Aging, who had both brain MRI and vestibular physiological data acquired during the same visit. Vestibular function was evaluated through the cervical vestibular-evoked myogenic potential (cVEMP). The brain structures of interest that we analyzed were the hippocampus, amygdala, thalamus, caudate nucleus, putamen, insula, entorhinal cortex (ERC), trans-entorhinal cortex (TEC) and perirhinal cortex, as these structures comprise or are connected with the putative "vestibular cortex." We modeled the volume and shape of these structures as a function of the presence/absence of cVEMP and the cVEMP amplitude, adjusting for age and sex. We observed reduced overall volumes of the hippocampus and the ERC associated with poorer vestibular function. In addition, we also found significant relationships between the shape of the hippocampus (p = 0.0008), amygdala (p = 0.01), thalamus (p = 0.008), caudate nucleus (p = 0.002), putamen (p = 0.02), and ERC-TEC complex (p = 0.008) and vestibular function. These findings provide novel insight into the multiple pathways through which vestibular loss may impact brain structures that are critically involved in spatial memory, navigation and orientation.
Collapse
Affiliation(s)
- Athira Jacob
- Center for Imaging Science and Institute for Computational Medicine,
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD,
USA
| | - Daniel J. Tward
- Center for Imaging Science and Institute for Computational Medicine,
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD,
USA
| | - Susan Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging,
Baltimore, MD, USA
| | - Paul F. Smith
- Department Pharmacology and Toxicology, School of Medical Sciences, The
Brain Health Research Centre, University of Otago, New Zealand
| | - Christophe Lopez
- Aix Marseille Universite, Centre National de la Recherche Scientifique,
Marseille, France
| | - Elliott Rebello
- Department of Otolaryngology–Head and Neck Surgery, Johns Hopkins
University School of Medicine, Baltimore, MD, USA
| | - Eric X. Wei
- Department of Otolaryngology–Head and Neck Surgery, Johns Hopkins
University School of Medicine, Baltimore, MD, USA
| | - J. Tilak Ratnanather
- Center for Imaging Science and Institute for Computational Medicine,
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD,
USA
| | - Yuri Agrawal
- Department of Otolaryngology–Head and Neck Surgery, Johns Hopkins
University School of Medicine, Baltimore, MD, USA
| |
Collapse
|
10
|
Derome M, Zöller D, Modinos G, Schaer M, Eliez S, Debbané M. Developmental trajectories of subcortical structures in relation to dimensional schizotypy expression along adolescence. Schizophr Res 2020; 218:76-84. [PMID: 32081537 DOI: 10.1016/j.schres.2020.02.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 02/09/2020] [Accepted: 02/09/2020] [Indexed: 12/31/2022]
Abstract
Morphological abnormalities of subcortical structures have been consistently reported along the schizophrenia clinical spectrum, and they may play an important role in the pathophysiology of psychosis. However, the question arises whether these subcortical features are consequences of medication and illness chronicity, or if they contribute to the vulnerability to develop schizophrenia spectrum disorders. If some of the subcortical abnormalities could be evidenced in community adolescents expressing higher schizotypal traits (psychometric schizotypy), they could potentially shed light on vulnerability markers. To date, very few studies have examined the link between psychometric schizotypy and volumes of subcortical regions, and none of them have used a longitudinal design. This study sets out to investigate developmental trajectories of subcortical volumes in 110 community adolescents (12 to 20 years old), for whom MRI-scans were acquired over a period of 5 years, reaching a total of 297 scans. Analyses were conducted using Freesurfer, and schizotypal traits were measured with the Schizotypal Personality Questionnaire (SPQ). Using mixed model regression analyses following a region-of-interest approach, we observed differential linear developmental trajectories in four subcortical structures when comparing higher versus lower scorers on the disorganized schizotypy dimension (bilateral hippocampus, left-lateral ventricle and left-pallidum) and the negative schizotypy dimension (bilateral pallidum, and right-thalamus). All results survived a threshold of p < .05 (FDR-corrected) while covarying for the effect of other psychological problems (externalized and internalized psychopathology). These results indicate that expression of higher levels of negative and disorganized schizotypy during adolescence was associated with neural markers linking schizotypy personality features to schizophrenia spectrum disorders.
Collapse
Affiliation(s)
- Mélodie Derome
- Developmental Clinical Psychology Research Unit, Faculty of Psychology and Educational Sciences, University of Geneva, Switzerland; Developmental Neuroimaging and Psychopathology Laboratory, Department of Psychiatry, University of Geneva, Switzerland.
| | - Daniela Zöller
- Developmental Neuroimaging and Psychopathology Laboratory, Department of Psychiatry, University of Geneva, Switzerland; Medical Image Processing Lab, Institute of Bioengineering, EPFL, Lausanne, Switzerland; Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland.
| | - Gemma Modinos
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK.
| | - Marie Schaer
- Developmental Neuroimaging and Psychopathology Laboratory, Department of Psychiatry, University of Geneva, Switzerland.
| | - Stephan Eliez
- Developmental Neuroimaging and Psychopathology Laboratory, Department of Psychiatry, University of Geneva, Switzerland; Department of Genetic Medicine and Development, School of Medicine, University of Geneva, Switzerland.
| | - Martin Debbané
- Developmental Clinical Psychology Research Unit, Faculty of Psychology and Educational Sciences, University of Geneva, Switzerland; Developmental Neuroimaging and Psychopathology Laboratory, Department of Psychiatry, University of Geneva, Switzerland; Research Department of Clinical, Educational & Health Psychology, University College London, United Kingdom.
| |
Collapse
|
11
|
Ma X, Zheng W, Li C, Li Z, Tang J, Yuan L, Ouyang L, Jin K, He Y, Chen X. Decreased regional homogeneity and increased functional connectivity of default network correlated with neurocognitive deficits in subjects with genetic high-risk for schizophrenia: A resting-state fMRI study. Psychiatry Res 2019; 281:112603. [PMID: 31622873 DOI: 10.1016/j.psychres.2019.112603] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 10/04/2019] [Accepted: 10/04/2019] [Indexed: 01/01/2023]
Abstract
The complex symptoms of schizophrenia (SCZ) have been associated with dysfunction of the default mode network (DMN). Subjects at genetic high risk (GHR) for SCZ exhibit similar but milder brain abnormalities. This study aimed to investigate functional alterations of DMN from the local to the whole and their relationships with cognitive deficits in GHR subjects. 42 GHR subjects and 38 matched healthy controls (HC) were studied by resting-state functional magnetic resonance imaging (rs-fMRI). Regional homogeneity (ReHo) analysis was performed to measure the local brain function of the DMN, derived by the group independent component analysis, and areas with aberrant ReHo were used as seeds in functional connectivity (FC). Compared with the HC group, the GHR group exhibited significantly decreased ReHo and increased FC in the fronto-limbic-striatal system within the DMN. Furthermore, a significant negative correlation was found between decreased ReHo in the right superior frontal gyrus and the delayed recall in GHR subjects. Our findings revealed decreased local function and hyper-connectivity in the fronto-limbic-striatal system of the DMN in GHR subjects, which is associated with cognitive deficits. This may improve our understanding of the neurophysiological endophenotypes of SCZ and the neural substrate underlying the cognitive deficits of the disease.
Collapse
Affiliation(s)
- Xiaoqian Ma
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China
| | - Wenxiao Zheng
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China; Department of Clinical Medicine, Third Xiangya Hospital, Central South University, Changsha, China
| | - Chunwang Li
- Department of Radiology, Hunan Children's Hospital, Changsha, China
| | - Zongchang Li
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China
| | - Jinsong Tang
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China
| | - Liu Yuan
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China
| | - Lijun Ouyang
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China
| | - Ke Jin
- Department of Radiology, Hunan Children's Hospital, Changsha, China
| | - Ying He
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China.
| | - Xiaogang Chen
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China; Mental Health Institute of Central South University, Changsha, Hunan, China; China National Clinical Research Center on Mental Disorders (Xiangya), Changsha, Hunan, China; China National Technology Institute on Mental Disorders, Changsha, Hunan, China; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China.
| |
Collapse
|
12
|
Huang H, Shu C, Chen J, Zou J, Chen C, Wu S, Xiao L, Liu Z, Wang H, Zhou Y, Wang G, Jiang T. Altered corticostriatal pathway in first-episode paranoid schizophrenia: Resting-state functional and causal connectivity analyses. Psychiatry Res Neuroimaging 2018; 272:38-45. [PMID: 29122402 DOI: 10.1016/j.pscychresns.2017.08.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Revised: 08/02/2017] [Accepted: 08/12/2017] [Indexed: 11/19/2022]
Abstract
Neuroimaging studies suggest the abnormal structure and function of basal ganglion may contribute to the pathophysiology of schizophrenia. However, little is investigated about the both aberrant functional and causal connectivity of striatum in first-episode paranoid schizophrenia (FEPS). Resting-state functional magnetic resonance imaging was used to characterize the functional connectivity (FC) and casual connectivity within the corticostriatal circuit in 31 patients with FEPS and 33 healthy controls. Degree centrality (DC) was used to explore the regions influenced in schizophrenia at the whole-brain level. Subsequently, a seed-based Granger causality analysis was performed to analyze the causal connectivity. We identified reduced DC of the bilateral putamen in the patients, compared to the controls. In the causal connectivity analysis, we found causal dysconnectivity between the putamen and several regions of default mode network, right orbital part of inferior frontal cortex and right fusiform in the patients. Further, the abnormal causal effect was associated with cognitive impairment in FEPS. The present study highlighted the abnormal functional and causal integrity of the striatum in the patients with FEPS during resting state and suggests a potentially implicated role for the cortical-striatal circuit, especially the striatal-default mode network loop, in the pathophysiology of schizophrenia.
Collapse
Affiliation(s)
- Huan Huang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Chang Shu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Jun Chen
- Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Jilin Zou
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Cheng Chen
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Shihao Wu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Ling Xiao
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China; Hubei Institute of Neurology and Psychiatry Research, Wuhan 430060, China
| | - Zhongchun Liu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Huiling Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China; Hubei Provincial Key Laboratory of Developmentally Originated Disease, Wuhan 430071, China.
| | - Yuan Zhou
- Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
| | - Gaohua Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China; Hubei Institute of Neurology and Psychiatry Research, Wuhan 430060, China; Hubei University of Science and Technology, Xianning 437100, China; National Clinical Research Center on Mental Disorders, Changsha 410011, China
| | - Tianzi Jiang
- LIAMA Center for Computational Medicine, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| |
Collapse
|
13
|
Schäppi L, Stegmayer K, Viher PV, Walther S. Distinct Associations of Motor Domains in Relatives of Schizophrenia Patients-Different Pathways to Motor Abnormalities in Schizophrenia? Front Psychiatry 2018; 9:129. [PMID: 29740353 PMCID: PMC5924816 DOI: 10.3389/fpsyt.2018.00129] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Accepted: 03/26/2018] [Indexed: 12/25/2022] Open
Abstract
INTRODUCTION Aberrant motor function is an integral part of schizophrenia. In fact, abnormalities are frequently found in patients, in populations at risk, and in unaffected relatives. Motor abnormalities are suspected to be relevant for the clinical outcome and could probably predict the conversion from at-risk individuals to schizophrenia. Furthermore, motor function has been argued as endophenotype of the disorder. Yet, which particular motor domain may classify as a potential endophenotype is unknown. We aimed to compare schizophrenia patients, unaffected first-degree relatives and healthy controls for different motor domains. We expected impairments in all domains in patients and in some domains in relatives. METHOD We included 43 schizophrenia patients, 34 unaffected first-degree relatives of schizophrenia patients, and 29 healthy control subjects, matched for age, gender, and education level. We compared motor function of four motor domains between the groups. The domains comprise neurological soft signs (NSS), abnormal involuntary movements (dyskinesia), Parkinsonism, and fine motor function including simple [finger tapping (FT)] and complex fine motor function, (i.e., dexterity as measured with the coin rotation test). Furthermore, we tested the association of motor function of the four domains with working memory, frontal lobe function, and nonverbal intelligence for each group separately using within-group bivariate correlations. RESULTS Schizophrenia patients showed poorer motor function in all tested domains compared to healthy controls. First-degree relatives had intermediate ratings with aberrant function in two motor domains. In detail, relatives had significantly more NSS and performed poorer in the FT task than controls. In contrast, complex fine motor function was intact in relatives. Relatives did not differ from controls in dyskinesia or Parkinsonism severity. DISCUSSION Taken together, schizophrenia patients have motor abnormalities in all tested domains. Thus, motor abnormalities are a key element of the disorder. Likewise, first-degree relatives presented motor deficits in two domains. A clear difference between relatives and healthy controls was found for NSS and FT. Thus, NSS and FT may be potential markers of vulnerability for schizophrenia. The lack of association between genetic risk and dyskinesia or Parkinsonism suggests distinct pathobiological mechanisms in the various motor abnormalities in schizophrenia.
Collapse
Affiliation(s)
- Lea Schäppi
- University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | | | - Petra V Viher
- University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Sebastian Walther
- University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| |
Collapse
|
14
|
Gou N, Liu Z, Palaniyappan L, Li M, Pan Y, Chen X, Tao H, Wu G, Ouyang X, Wang Z, Dou T, Xue Z, Pu W. Effects of DISC1 Polymorphisms on Resting-State Spontaneous Neuronal Activity in the Early-Stage of Schizophrenia. Front Psychiatry 2018; 9:137. [PMID: 29875705 PMCID: PMC5974222 DOI: 10.3389/fpsyt.2018.00137] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Accepted: 03/29/2018] [Indexed: 12/02/2022] Open
Abstract
Background: Localized abnormalities in the synchrony of spontaneous neuronal activity, measured with regional homogeneity (ReHo), has been consistently reported in patients with schizophrenia (SCZ) and their unaffected siblings. To date, little is known about the genetic influences affecting the spontaneous neuronal activity in SCZ. DISC1, a strong susceptible gene for SCZ, has been implicated in neuronal excitability and synaptic function possibly associated with regional spontaneous neuronal activity. This study aimed to examine the effects of DISC1 variations on the regional spontaneous neuronal activity in SCZ. Methods: Resting-state fMRI data were obtained from 28 SCZ patients and 21 healthy controls (HC) for ReHo analysis. Six single nucleotide polymorphisms (SNPs) of DISC1 gene were genotyped using the PCR and direct sequencing. Results: Significant diagnosis × genotype interactions were noted for three SNPs (rs821616, rs821617, and rs2738880). For rs821617, the interactions were localized to the precuneus, basal ganglia and pre-/post-central regions. Significant interactive effects were identified at the temporal and post-central gyri for rs821616 (Ser704Cys) and the inferior temporal gyrus for rs2738880. Furthermore, post-hoc analysis revealed that the DISC1 variations on these SNPs exerted different influences on ReHo between SCZ patients and HC. Conclusion: To our knowledge this is the first study to unpick the influence of DISC1 variations on spontaneous neuronal activity in SCZ; Given the emerging evidence that ReHo is a stable inheritable phenotype for schizophrenia, our findings suggest the DISC1 variations are possibly an inheritable source for the altered ReHo in this disorder.
Collapse
Affiliation(s)
- Ningzhi Gou
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Changsha, China
| | - Zhening Liu
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Changsha, China
| | - Lena Palaniyappan
- Departments of Psychiatry and Medical Biophysics & Robarts and Lawson Research Institutes, University of Western Ontario, London, ON, Canada
| | - Mingding Li
- Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
| | - Yunzhi Pan
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Changsha, China
| | - Xudong Chen
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Changsha, China
| | - Haojuan Tao
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Changsha, China
| | - Guowei Wu
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Changsha, China
| | - Xuan Ouyang
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Changsha, China
| | - Zheng Wang
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Changsha, China
| | - Taotao Dou
- Department of Neurosurgery, The First affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Zhimin Xue
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Psychiatry and Mental Health of Hunan Province, The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Changsha, China
| | - Weidan Pu
- Medical Psychological Center, Second Xiangya Hospital, Central South University, Changsha, China.,Medical Psychological Institute of Central South University, Changsha, China
| |
Collapse
|
15
|
Evans DW, Michael AM, Ularević M, Lusk LG, Buirkle JM, Moore GJ. Neural substrates of a schizotypal spectrum in typically-developing children: Further evidence of a normal-pathological continuum. Behav Brain Res 2016; 315:141-6. [DOI: 10.1016/j.bbr.2016.08.034] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Revised: 08/15/2016] [Accepted: 08/16/2016] [Indexed: 11/28/2022]
|
16
|
Multidimensional heritability analysis of neuroanatomical shape. Nat Commun 2016; 7:13291. [PMID: 27845344 PMCID: PMC5116071 DOI: 10.1038/ncomms13291] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2015] [Accepted: 09/21/2016] [Indexed: 12/11/2022] Open
Abstract
In the dawning era of large-scale biomedical data, multidimensional phenotype vectors will play an increasing role in examining the genetic underpinnings of brain features, behaviour and disease. For example, shape measurements derived from brain MRI scans are multidimensional geometric descriptions of brain structure and provide an alternate class of phenotypes that remains largely unexplored in genetic studies. Here we extend the concept of heritability to multidimensional traits, and present the first comprehensive analysis of the heritability of neuroanatomical shape measurements across an ensemble of brain structures based on genome-wide SNP and MRI data from 1,320 unrelated, young and healthy individuals. We replicate our findings in an extended twin sample from the Human Connectome Project (HCP). Our results demonstrate that neuroanatomical shape can be significantly heritable, above and beyond volume, and can serve as a complementary phenotype to study the genetic determinants and clinical relevance of brain structure.
Collapse
|
17
|
Mamah D, Alpert KI, Barch DM, Csernansky JG, Wang L. Subcortical neuromorphometry in schizophrenia spectrum and bipolar disorders. NEUROIMAGE-CLINICAL 2016; 11:276-286. [PMID: 26977397 PMCID: PMC4781974 DOI: 10.1016/j.nicl.2016.02.011] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Revised: 02/17/2016] [Accepted: 02/19/2016] [Indexed: 11/17/2022]
Abstract
Background Disorders within the schizophrenia spectrum genetically overlap with bipolar disorder, yet questions remain about shared biological phenotypes. Investigation of brain structure in disease has been enhanced by developments in shape analysis methods that can identify subtle regional surface deformations. Our study aimed to identify brain structure surface deformations that were common across related psychiatric disorders, and characterize differences. Methods Using the automated FreeSurfer-initiated Large Deformation Diffeomorphic Metric Mapping, we examined volumes and shapes of seven brain structures: hippocampus, amygdala, caudate, nucleus accumbens, putamen, globus pallidus and thalamus. We compared findings in controls (CON; n = 40), and those with schizophrenia (SCZ; n = 52), schizotypal personality disorder (STP; n = 12), psychotic bipolar disorder (P-BP; n = 49) and nonpsychotic bipolar disorder (N-BP; n = 24), aged 15–35. Relationships between morphometric measures and positive, disorganized and negative symptoms were also investigated. Results Inward deformation was present in the posterior thalamus in SCZ, P-BP and N-BP; and in the subiculum of the hippocampus in SCZ and STP. Most brain structures however showed unique shape deformations across groups. Correcting for intracranial size resulted in volumetric group differences for caudate (p < 0.001), putamen (p < 0.01) and globus pallidus (p < 0.001). Shape analysis showed dispersed patterns of expansion on the basal ganglia in SCZ. Significant clinical relationships with hippocampal, amygdalar and thalamic volumes were observed. Conclusions Few similarities in surface deformation patterns were seen across groups, which may reflect differing neuropathologies. Posterior thalamic contraction in SCZ and BP suggest common genetic or environmental antecedents. Surface deformities in SCZ basal ganglia may have been due to antipsychotic drug effects. Shape analysis identified structural abnormalities in psychiatric disorders, where volume analysis did not Few similarities in surface deformation patterns were seen across diagnostic groups Posterior thalamic contraction was seen in both schizophrenia and bipolar patients Expansion of basal ganglia regions were seen in schizophrenia patients
Collapse
Affiliation(s)
- Daniel Mamah
- Department of Psychiatry, Washington University Medical School, St. Louis, United States.
| | - Kathryn I Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, United States
| | - Deanna M Barch
- Department of Psychiatry, Washington University Medical School, St. Louis, United States; Department of Psychology, Washington University Medical School, St. Louis, United States; Department of Radiology, Washington University Medical School, St. Louis, United States
| | - John G Csernansky
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, United States
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, United States
| |
Collapse
|
18
|
Hirjak D, Thomann PA, Kubera KM, Wolf ND, Sambataro F, Wolf RC. Motor dysfunction within the schizophrenia-spectrum: A dimensional step towards an underappreciated domain. Schizophr Res 2015; 169:217-233. [PMID: 26547881 DOI: 10.1016/j.schres.2015.10.022] [Citation(s) in RCA: 73] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2015] [Revised: 10/09/2015] [Accepted: 10/15/2015] [Indexed: 12/14/2022]
Abstract
At the beginning of the 20th century, genuine motor abnormalities (GMA) were considered to be intricately linked to schizophrenia. Subsequently, however, GMA have been increasingly regarded as unspecific transdiagnostic phenomena or related to side effects of antipsychotic treatment. Despite possible medication confounds, within the schizophrenia spectrum GMA have been categorized into three broad categories, i.e. neurological soft signs, abnormal involuntary movements and catatonia. Schizophrenia patients show a substantial overlap across a broad range of distinct motor signs and symptoms suggesting a prominent involvement of the motor system in disease pathophysiology. There have been several attempts to increase reliability and validity in diagnosing schizophrenia based on behavior and neurobiology, yet relatively little attention has been paid to the motor domain in the past. Nevertheless, accumulating neuroscientific evidence suggests the possibility of a motor endophenotype in schizophrenia, and that GMA could represent a specific dimension within the schizophrenia-spectrum. Here, we review current neuroimaging research on GMA in schizophrenia with an emphasis on distinct and common mechanisms of brain dysfunction. Based on a dimensional approach we show that multimodal neuroimaging combined with fine-grained clinical examination can result in a comprehensive characterization of structural and functional brain changes that are presumed to underlie core GMA in schizophrenia. We discuss the possibility of a distinct motor domain, together with its implications for future research. Investigating GMA by means of multimodal neuroimaging can essentially contribute at identifying novel and biologically reliable phenotypes in psychiatry.
Collapse
Affiliation(s)
- Dusan Hirjak
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Germany.
| | - Philipp A Thomann
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Germany
| | - Katharina M Kubera
- Center for Psychosocial Medicine, Department of General Psychiatry, University of Heidelberg, Germany
| | - Nadine D Wolf
- Department of Psychiatry, Psychotherapy and Psychosomatics, Saarland University, Homburg, Germany
| | - Fabio Sambataro
- Department of Experimental and Clinical Medical Sciences (DISM), University of Udine, Udine, Italy
| | - Robert C Wolf
- Department of Psychiatry, Psychotherapy and Psychosomatics, Saarland University, Homburg, Germany
| |
Collapse
|
19
|
Cluster analysis differentiates high and low community functioning in schizophrenia: Subgroups differ on working memory but not other neurocognitive domains. Schizophr Res 2015. [PMID: 26215505 DOI: 10.1016/j.schres.2015.07.011] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
BACKGROUND Schizophrenia is characterized by impairment in multiple aspects of community functioning. Available literature suggests that community functioning may be enhanced through cognitive remediation, however, evidence is limited regarding whether specific neurocognitive domains may be treatment targets. We characterized schizophrenia subjects based on their level of community functioning through cluster analysis in an effort to identify whether specific neurocognitive domains were associated with variation in functioning. METHODS Schizophrenia (SCZ, n=60) and control (CON, n=45) subjects completed a functional capacity task, social competence role-play, functional attainment interview, and a neuropsychological battery. Multiple cluster analytic techniques were used on the measures of functioning in the schizophrenia subjects to generate functionally-defined subgroups. MANOVA evaluated between-group differences in neurocognition. RESULTS The cluster analysis revealed two distinct groups, consisting of 36 SCZ characterized by high levels of community functioning (HF-SCZ) and 24 SCZ with low levels of community functioning (LF-SCZ). There was a main group effect for neurocognitive performance (p<0.001) with CON outperforming both SCZ groups in all neurocognitive domains. Post-hoc tests revealed that HF-SCZ had higher verbal working memory compared to LF-SCZ (p≤0.05, Cohen's d=0.78) but the two groups did not differ in remaining domains. CONCLUSION The cluster analysis classified schizophrenia subjects in HF-SCZ and LF-SCZ using a multidimensional assessment of community functioning. Moreover, HF-SCZ demonstrated rather preserved verbal working memory relative to LF-SCZ. The results suggest that verbal working memory may play a critical role in community functioning, and is a potential cognitive treatment target for schizophrenia subjects.
Collapse
|
20
|
Open and closed cortico-subcortical loops: A neuro-computational account of access to consciousness in the distractor-induced blindness paradigm. Conscious Cogn 2015; 35:295-307. [DOI: 10.1016/j.concog.2015.02.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2014] [Revised: 02/15/2015] [Accepted: 02/16/2015] [Indexed: 11/20/2022]
|
21
|
Reduced fronto-striatal white matter integrity in schizophrenia patients and unaffected siblings: a DTI study. NPJ SCHIZOPHRENIA 2015; 1:15001. [PMID: 27336028 PMCID: PMC4849442 DOI: 10.1038/npjschz.2015.1] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2014] [Revised: 12/19/2014] [Accepted: 12/23/2014] [Indexed: 01/03/2023]
Abstract
Background: Schizophrenia is characterized by impairments in the fronto–striatal network. Underlying these impairments may be disruptions in anatomical pathways connecting frontal and striatal regions. However, the specifics of these disruptions remain unclear and whether these impairments are related to the genetic vulnerability of schizophrenia is not known. Methods: Here, we investigated fronto–striatal tract connections in 24 schizophrenia patients, 30 unaffected siblings, and 58 healthy controls using diffusion tensor imaging. Mean fractional anisotropy (FA) was calculated for tracts connecting the striatum with frontal cortex regions including the dorsolateral prefrontal cortex (DLPFC), medial orbital frontal cortex, and inferior frontal gyrus. Specifically, the striatum was divided into three subregions (caudate nucleus, putamen, and nucleus accumbens) and mean FA was computed for tracts originating from these striatal subregions. Results: We found no differences between patients, siblings, and controls in mean FA when taking the whole striatum as a seed region. However, subregion analyses showed reduced FA in the tract connecting the left nucleus accumbens and left DLPFC in both patients (P=0.0003) and siblings (P=0.0008) compared with controls. Conclusions: The result of reduced FA in the tract connecting the left nucleus accumbens and left DLPFC indicates a possible reduction of white matter integrity, commonly associated with schizophrenia. As both patients and unaffected siblings show reduced FA, this may represent a vulnerability factor for schizophrenia.
Collapse
|
22
|
Wagshal D, Knowlton BJ, Cohen JR, Bookheimer SY, Bilder RM, Fernandez VG, Asarnow RF. Cognitive correlates of gray matter abnormalities in adolescent siblings of patients with childhood-onset schizophrenia. Schizophr Res 2015; 161:345-50. [PMID: 25541139 PMCID: PMC4405249 DOI: 10.1016/j.schres.2014.12.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2014] [Revised: 12/03/2014] [Accepted: 12/05/2014] [Indexed: 01/04/2023]
Abstract
Patients with childhood onset schizophrenia (COS) display widespread gray matter (GM) structural brain abnormalities. Healthy siblings of COS patients share some of these structural abnormalities, suggesting that GM abnormalities are endophenotypes for schizophrenia. Another possible endophenotype for schizophrenia that has been relatively unexplored is corticostriatal dysfunction. The corticostriatal system plays an important role in skill learning. Our previous studies have demonstrated corticostriatal dysfunction in COS siblings with a profound skill learning deficit and abnormal pattern of brain activation during skill learning. This study investigated whether structural abnormalities measured using volumetric brain morphometry (VBM) were present in siblings of COS patients and whether these were related to deficits in cognitive skill learning. Results revealed smaller GM volume in COS siblings relative to controls in a number of regions, including occipital, parietal, and subcortical regions including the striatum, and greater GM volume relative to controls in several subcortical regions. Volume in the right superior frontal gyrus and cerebellum were related to performance differences between groups on the weather prediction task, a measure of cognitive skill learning. Our results support the idea that corticostriatal and cerebellar impairment in unaffected siblings of COS patients are behaviorally relevant and may reflect genetic risk for schizophrenia.
Collapse
Affiliation(s)
- Dana Wagshal
- University of California San Francisco, United States.
| | | | | | | | | | | | | |
Collapse
|
23
|
Harms MP, Akhter KD, Csernansky JG, Mori S, Barch DM. Fractional anisotropy in individuals with schizophrenia and their nonpsychotic siblings. Psychiatry Res 2015; 231:87-91. [PMID: 25453989 PMCID: PMC4272646 DOI: 10.1016/j.pscychresns.2014.10.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2014] [Revised: 08/18/2014] [Accepted: 10/09/2014] [Indexed: 01/03/2023]
Abstract
Fractional anisotropy (FA) was examined in a priori selected fiber tracts in individuals with schizophrenia (n=25) and their non-psychotic siblings (n=29) versus controls (n=35). FA was reduced in a portion of the fornix in individuals with schizophrenia (although this did not survive correction for the number of tracts investigated). FA in the siblings did not differ from that in controls in any of the investigated tracts.
Collapse
Affiliation(s)
- Michael P. Harms
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA,Corresponding author: Department of Psychiatry (Box 8134), Washington University School of Medicine, 660 S. Euclid Avenue, St. Louis, MO 63110, USA. Tel.: +1 (314) 747-6173; Fax: +1 (314) 747-2182;
| | - Kazi D. Akhter
- Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - John G. Csernansky
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Susumu Mori
- Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Deanna M. Barch
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA,Department of Psychology, Washington University, St. Louis, MO, USA
| |
Collapse
|
24
|
Roalf DR, Vandekar SN, Almasy L, Ruparel K, Satterthwaite TD, Elliott MA, Podell J, Gallagher S, Jackson CT, Prasad K, Wood J, Pogue-Geile MF, Nimgaonkar VL, Gur RC, Gur RE. Heritability of subcortical and limbic brain volume and shape in multiplex-multigenerational families with schizophrenia. Biol Psychiatry 2015; 77:137-46. [PMID: 24976379 PMCID: PMC4247350 DOI: 10.1016/j.biopsych.2014.05.009] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2013] [Revised: 04/25/2014] [Accepted: 05/21/2014] [Indexed: 12/21/2022]
Abstract
BACKGROUND Brain abnormalities of subcortical and limbic nuclei are common in patients with schizophrenia, and variation in these structures is considered a putative endophenotype for the disorder. Multiplex-multigenerational families with schizophrenia provide an opportunity to investigate the impact of shared genetic ancestry, but these families have not been previously examined to study structural brain abnormalities. We estimate the heritability of subcortical and hippocampal brain volumes in multiplex-multigenerational families and the heritability of subregions using advanced shape analysis. METHODS The study comprised 439 participants from two sites who underwent 3T structural magnetic resonance imaging. The participants included 190 European-Americans from 32 multiplex-multigenerational families with schizophrenia and 249 healthy comparison subjects. Subcortical and hippocampal volume and shape were measured in 14 brain structures. Heritability was estimated for volume and shape. RESULTS Volume and shape were heritable in families. Estimates of heritability in subcortical and limbic volumes ranged from .45 in the right hippocampus to .84 in the left putamen. The shape of these structures was heritable (range, .40-.49), and specific subregional shape estimates of heritability tended to exceed heritability estimates of volume alone. CONCLUSIONS These results demonstrate that volume and shape of subcortical and limbic brain structures are potential endophenotypic markers in schizophrenia. The specificity obtained using shape analysis may improve selection of imaging phenotypes that better reflect the underlying neurobiology. Our findings can aid in the identification of specific genetic targets that affect brain structure and function in schizophrenia.
Collapse
|
25
|
Chakravarty MM, Rapoport JL, Giedd JN, Raznahan A, Shaw P, Collins DL, Lerch JP, Gogtay N. Striatal shape abnormalities as novel neurodevelopmental endophenotypes in schizophrenia: a longitudinal study. Hum Brain Mapp 2014; 36:1458-69. [PMID: 25504933 DOI: 10.1002/hbm.22715] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2014] [Revised: 11/15/2014] [Accepted: 11/30/2014] [Indexed: 01/04/2023] Open
Abstract
There are varying, often conflicting, reports with respect to altered striatal volume and morphometry in the major psychoses due to the influences of antipsychotic medications on striatal volume. Thus, disassociating disease effects from those of medication become exceedingly difficult. For the first time, using a longitudinally studied sample of structural magnetic resonance images from patients with childhood onset schizophrenia (COS; neurobiologically contiguous with the adult onset form of schizophrenia), their nonpsychotic siblings (COSSIBs), and novel shape mapping algorithms that are volume independent, we report the familial contribution of striatal morphology in schizophrenia. The results of our volumetric analyses demonstrate age-related increases in overall striatal volumes specific only to COS. However, both COS and COSSIBs showed overlapping shape differences in the striatal head, which normalized in COSSIBs by late adolescence. These results mirror previous studies from our group, demonstrating cortical thickness deficits in COS and COSSIBs as these deficits normalize in COSSIBs in the same age range as our striatal findings. Finally, there is a single region of nonoverlapping outward displacement in the dorsal aspect of the caudate body, potentially indicative of a response to medication. Striatal shape may be considered complimentary to volume as an endophenotype, and, in some cases may provide information that is not detectable using standard volumetric techniques. Our striatal shape findings demonstrate the striking localization of abnormalities in striatal the head. The neuroanatomical localization of these findings suggest the presence of abnormalities in the striatal-prefrontal circuits in schizophrenia and resilience mechanisms in COSSIBs with age dependent normalization.
Collapse
Affiliation(s)
- M Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, Canada; Department of Psychiatry, McGill University, Montreal, Canada; Department of Biomedical Engineering, McGill University, Montreal, Canada
| | | | | | | | | | | | | | | |
Collapse
|
26
|
Womer FY, Wang L, Alpert K, Smith MJ, Csernansky JG, Barch D, Mamah D. Basal ganglia and thalamic morphology in schizophrenia and bipolar disorder. Psychiatry Res 2014; 223:75-83. [PMID: 24957866 PMCID: PMC4112520 DOI: 10.1016/j.pscychresns.2014.05.017] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2013] [Revised: 05/15/2014] [Accepted: 05/27/2014] [Indexed: 12/21/2022]
Abstract
In this study, we examined the morphology of the basal ganglia and thalamus in bipolar disorder (BP), schizophrenia-spectrum disorders (SCZ-S), and healthy controls (HC) with particular interest in differences related to the absence or presence of psychosis. Volumetric and shape analyses of the basal ganglia and thalamus were performed in 33 BP individuals [12 without history of psychotic features (NPBP) and 21 with history of psychotic features (PBP)], 32 SCZ-S individuals [28 with SCZ and 4 with schizoaffective disorder], and 27 HC using FreeSurfer-initiated large deformation diffeomorphic metric mapping. Significant volume differences were found in the caudate and globus pallidus, with volumes smallest in the NPBP group. Shape abnormalities showing inward deformation of superior regions of the caudate were observed in BP (and especially in NPBP) compared with HC. Shape differences were also found in the globus pallidus and putamen when comparing BP and SCZ-S groups. No significant differences were seen in the nucleus accumbens and thalamus. In summary, structural abnormalities in the caudate and globus pallidus are present in BP and SCZ-S. Differences were more apparent in the NPBP subgroup. The findings herein highlight the potential importance of separately examining BP subgroups in neuroimaging studies.
Collapse
Affiliation(s)
- Fay Y. Womer
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kathryn Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Matthew J. Smith
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - John G. Csernansky
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Deanna Barch
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA,Department of Psychology, Washington University, St. Louis, MO, USA,Department or Radiology, Washington University, St. Louis, MO, USA
| | - Daniel Mamah
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| |
Collapse
|
27
|
Sandman CA, Head K, Muftuler LT, Su L, Buss C, Davis EP. Shape of the basal ganglia in preadolescent children is associated with cognitive performance. Neuroimage 2014; 99:93-102. [PMID: 24844741 DOI: 10.1016/j.neuroimage.2014.05.020] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2013] [Revised: 05/08/2014] [Accepted: 05/10/2014] [Indexed: 10/25/2022] Open
Abstract
Current studies support the belief that high levels of performance and intellectual abilities are associated with increased brain size or volume. With few exceptions, this conclusion is restricted to studies of post-adolescent subjects and to cerebral cortex. There is evidence that "bigger is better" may not pertain to children and further, that there are areas of the brain in which larger structures are associated with cognitive deficits. In 50 preadolescent children (21 girls) a structural survey of the brain (VBM) was conducted to determine and locate areas in which gray matter volume was associated with poor cognitive performance. Only increased gray matter volume in particular areas of the basal ganglia and specifically the putamen was significantly associated with poor performance on tests of memory, response speed and a general marker and subtests of intelligence. Based on the VBM findings, volumetric analysis of basal ganglia structures was performed using FSL/FIRST. However, no significant changes in total volume of putamen or other basal ganglia structures were detected with this analysis. The disagreement between measures of localized gray matter differences and volumetric analysis suggested that there might be local regional deformity rather than widespread volumetric changes of the putamen. Surface analysis with FSL/FIRST demonstrated that bilateral outward deformation of the putamen, but especially the left, was associated with poor performance on several cognitive tests. Expansion of the globus pallidus and caudate nucleus also was associated with poor performance. Moreover a significant association was detected between a reliable test of language-free intelligence and topographically distinct outward and inward deformation of the putamen. Expansion and contraction of the putamen as a predictor of intelligence may explain why this association was not observed with measures of total volume. These results suggest that deformity is a sensitive measure of function, and that distortion of the basal ganglia may be a neurophenotype for risk of developmental impairment.
Collapse
Affiliation(s)
- Curt A Sandman
- Early Human and Lifespan Development Program, Department of Psychiatry and Human Behavior, University of California Irvine, USA.
| | - Kevin Head
- Early Human and Lifespan Development Program, Department of Psychiatry and Human Behavior, University of California Irvine, USA
| | | | - Lydia Su
- Department of Radiological Sciences, University of California Irvine, USA
| | - Claudia Buss
- Early Human and Lifespan Development Program, Department of Psychiatry and Human Behavior, University of California Irvine, USA; Department of Pediatrics, University of California Irvine, USA; Institut für Medizinische Psychologie, Charité Centrum für Human- und Gesundheitswissenschaften, Charité Universitätsmedizin, Germany
| | - Elysia Poggi Davis
- Early Human and Lifespan Development Program, Department of Psychiatry and Human Behavior, University of California Irvine, USA; Department of Psychology, University of Denver, USA
| |
Collapse
|
28
|
Smith MJ, Cobia DJ, Wang L, Alpert KI, Cronenwett WJ, Goldman MB, Mamah D, Barch DM, Breiter HC, Csernansky JG. Cannabis-related working memory deficits and associated subcortical morphological differences in healthy individuals and schizophrenia subjects. Schizophr Bull 2014; 40:287-99. [PMID: 24342821 PMCID: PMC3932091 DOI: 10.1093/schbul/sbt176] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Cannabis use is associated with working memory (WM) impairments; however, the relationship between cannabis use and WM neural circuitry is unclear. We examined whether a cannabis use disorder (CUD) was associated with differences in brain morphology between control subjects with and without a CUD and between schizophrenia subjects with and without a CUD, and whether these differences related to WM and CUD history. Subjects group-matched on demographics included 44 healthy controls, 10 subjects with a CUD history, 28 schizophrenia subjects with no history of substance use disorders, and 15 schizophrenia subjects with a CUD history. Large-deformation high-dimensional brain mapping with magnetic resonance imaging was used to obtain surface-based representations of the striatum, globus pallidus, and thalamus, compared across groups, and correlated with WM and CUD history. Surface maps were generated to visualize morphological differences. There were significant cannabis-related parametric decreases in WM across groups. Similar cannabis-related shape differences were observed in the striatum, globus pallidus, and thalamus in controls and schizophrenia subjects. Cannabis-related striatal and thalamic shape differences correlated with poorer WM and younger age of CUD onset in both groups. Schizophrenia subjects demonstrated cannabis-related neuroanatomical differences that were consistent and exaggerated compared with cannabis-related differences found in controls. The cross-sectional results suggest that both CUD groups were characterized by WM deficits and subcortical neuroanatomical differences. Future longitudinal studies could help determine whether cannabis use contributes to these observed shape differences or whether they are biomarkers of a vulnerability to the effects of cannabis that predate its misuse.
Collapse
Affiliation(s)
- Matthew J. Smith
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL;,*To whom correspondence should be addressed; Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, 710 N. Lake Shore Drive, 13th Floor, Abbott Hall, Chicago, IL 60611, US; tel: 1-312-503-2542, fax: 1-312-503-0527, e-mail:
| | - Derin J. Cobia
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL;,Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Kathryn I. Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Will J. Cronenwett
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Morris B. Goldman
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Daniel Mamah
- Department of Psychiatry, Washington University, St Louis, MO
| | | | - Hans C. Breiter
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL;,Warren Wright Adolescent Center, Northwestern University Feinberg School of Medicine, Chicago, IL,Denotes shared senior authorship on this article
| | - John G. Csernansky
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL;,Denotes shared senior authorship on this article
| |
Collapse
|
29
|
Ikuta T, Robinson DG, Gallego JA, Peters BD, Gruner P, Kane J, John M, Sevy S, Malhotra AK, Szeszko PR. Subcortical modulation of attentional control by second-generation antipsychotics in first-episode psychosis. Psychiatry Res 2014; 221:127-34. [PMID: 24120303 PMCID: PMC3946302 DOI: 10.1016/j.pscychresns.2013.09.010] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2013] [Revised: 09/11/2013] [Accepted: 09/12/2013] [Indexed: 11/26/2022]
Abstract
Psychotic disorders are characterized by significant deficits in attentional control, but the neurobiological mechanisms underlying these deficits early in the course of illness prior to extensive pharmacotherapy are not well understood. Moreover, little is known regarding the symptom and brain changes associated with amelioration of attentional impairments through antipsychotic pharmacotherapy. In this study 14 male patients experiencing a first-episode of psychosis with minimal prior antipsychotic treatment completed an attentional control task while undergoing functional magnetic resonance imaging at the onset of treatment with a second generation antipsychotic (risperidone or aripiprazole) in a double blind randomized clinical trial and then again following approximately 12 weeks of treatment. In addition, 14 age-, and performance-matched healthy male volunteers who were not treated completed the same task at a baseline timepoint and then again following 12 weeks. Patients showed significantly greater activation than healthy volunteers in the right globus pallidus, left thalamus, and right thalamus at the time of the baseline scan. Among patients there was a significant reduction in right globus pallidus blood-oxygen level dependent (BOLD) response following antipsychotic treatment that correlated significantly with improvement in response accuracy and reductions in thought disturbance. No changes in globus pallidus activation were observed in healthy volunteers over this time period. These preliminary findings suggest that improvement in attentional control and concomitant reductions in thought disturbance in first-episode psychosis may be associated with reductions in subcortical activity following administration of second-generation antipsychotics early in the course of illness. These findings have implications for understanding how changes in basal ganglia activity may be linked to improvements in attentional control through antipsychotics.
Collapse
Affiliation(s)
- Toshikazu Ikuta
- Department of Communication Sciences and Disorders, School of Applied Sciences, University of Mississippi, 352 Rebel Drive, University, MS 38766, USA.
| | - Delbert G. Robinson
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA,Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, Glen Oaks, NY, USA,Hofstra North Shore - LIJ School of Medicine, Departments of Psychiatry and Molecular Medicine, Hempstead, NY, USA
| | - Juan A. Gallego
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA,Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, Glen Oaks, NY, USA
| | - Bart D. Peters
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA,Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, Glen Oaks, NY, USA
| | - Patricia Gruner
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - John Kane
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA,Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, Glen Oaks, NY, USA,Hofstra North Shore - LIJ School of Medicine, Departments of Psychiatry and Molecular Medicine, Hempstead, NY, USA
| | - Majnu John
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA,Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, Glen Oaks, NY, USA,Hofstra North Shore - LIJ School of Medicine, Departments of Psychiatry and Molecular Medicine, Hempstead, NY, USA
| | - Serge Sevy
- New York College of Osteopathic Medicine of the New York Institute of Technology, Old Westbury, NY, USA
| | - Anil K. Malhotra
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA,Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, Glen Oaks, NY, USA,Hofstra North Shore - LIJ School of Medicine, Departments of Psychiatry and Molecular Medicine, Hempstead, NY, USA
| | - Philip R. Szeszko
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA,Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, Glen Oaks, NY, USA,Hofstra North Shore - LIJ School of Medicine, Departments of Psychiatry and Molecular Medicine, Hempstead, NY, USA
| |
Collapse
|
30
|
Zhang R, Wei Q, Kang Z, Zalesky A, Li M, Xu Y, Li L, Wang J, Zheng L, Wang B, Zhao J, Zhang J, Huang R. Disrupted brain anatomical connectivity in medication-naïve patients with first-episode schizophrenia. Brain Struct Funct 2014; 220:1145-59. [PMID: 24449342 DOI: 10.1007/s00429-014-0706-z] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2013] [Accepted: 01/04/2014] [Indexed: 01/16/2023]
Abstract
Previous studies suggested that the topological properties of brain anatomical networks may be aberrant in schizophrenia (SCZ), and most of them focused on the chronic and antipsychotic-medicated SCZ patients which may introduce various confounding factors due to antipsychotic medication and duration of illness. To avoid those potential confounders, a desirable approach is to select medication-naïve, first-episode schizophrenia (FE-SCZ) patients. In this study, we acquired diffusion tensor imaging datasets from 30 FE-SCZ patients and 34 age- and gender-matched healthy controls. Taking a distinct gray matter region as a node, inter-regional connectivity as edge and the corresponding streamline counts as edge weight, we constructed whole-brain anatomical networks for both groups, calculated their topological parameters using graph theory, and compared their between-group differences using nonparametric permutation tests. In addition, network-based statistic method was utilized to identify inter-regional connections which were impaired in the FE-SCZ patients. We detected only significantly decreased inter-regional connections in the FE-SCZ patients compared to the controls. These connections were primarily located in the frontal, parietal, occipital, and subcortical regions. Although small-worldness was conserved in the FE-SCZ patients, we found that the network strength and global efficiency as well as the degree were significantly decreased, and shortest path length was significantly increased in the FE-SCZ patients compared to the controls. Most of the regions that showed significantly decreased nodal parameters belonged to the top-down control, sensorimotor, basal ganglia, and limbic-visual system systems. Correlation analysis indicated that the nodal efficiency in the sensorimotor system was negatively correlated with the severity of psychosis symptoms in the FE-SCZ patients. Our results suggest that the network organization is changed in the early stages of the SCZ disease process. Our findings provide useful information for further understanding the brain white matter dysconnectivity of schizophrenia.
Collapse
Affiliation(s)
- Ruibin Zhang
- Brain Imaging Center, Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for the Study of Applied Psychology, School of Psychology, South China Normal University, Guangzhou, 510631, People's Republic of China
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
31
|
Williams AC, McNeely ME, Greene DJ, Church JA, Warren SL, Hartlein JM, Schlaggar BL, Black KJ, Wang L. A pilot study of basal ganglia and thalamus structure by high dimensional mapping in children with Tourette syndrome. F1000Res 2013; 2:207. [PMID: 24715957 PMCID: PMC3976104 DOI: 10.12688/f1000research.2-207.v1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/07/2013] [Indexed: 01/18/2023] Open
Abstract
Background: Prior brain imaging and autopsy studies have suggested
that structural abnormalities of the basal ganglia (BG) nuclei may be present in Tourette Syndrome (TS). These studies have focused mainly on the volume differences of the BG structures and not their anatomical shapes. Shape differences of various brain structures have been demonstrated in other neuropsychiatric disorders using large-deformation, high dimensional brain mapping (HDBM-LD). A previous study of a small sample of adult TS patients demonstrated the validity of the method, but did not find significant differences compared to controls. Since TS usually begins in childhood and adult studies may show structure differences due to adaptations, we hypothesized that differences in BG and thalamus structure geometry and volume due to etiological changes in TS might be better characterized in children. Objective: Pilot the HDBM-LD method in children and estimate effect sizes. Methods: In this pilot study, T1-weighted MRIs were collected in 13 children with TS and 16 healthy, tic-free, control children. The groups were well matched for age. The primary outcome measures were the first 10 eigenvectors which are derived using HDBM-LD methods and represent the majority of the geometric shape of each structure, and the volumes of each structure adjusted for whole brain volume. We also compared hemispheric right/left asymmetry and estimated effect sizes for both volume and shape differences between groups. Results: We found no statistically significant differences between the TS subjects and controls in volume, shape, or right/left asymmetry. Effect sizes were greater for shape analysis than for volume. Conclusion: This study represents one of the first efforts to study the shape as opposed to the volume of the BG in TS, but power was limited by sample size. Shape analysis by the HDBM-LD method may prove more sensitive to group differences.
Collapse
Affiliation(s)
- Alton C Williams
- Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Marie E McNeely
- Division of Biology and Biomedical Sciences, Washington University, St. Louis, MO 63110, USA ; Current affiliation: Centene Corporation, St. Louis, MO 63105, USA
| | - Deanna J Greene
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA ; Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA ; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jessica A Church
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA ; Current affiliation: Department of Psychology in The College of Liberal, University of Texas- Austin, Austin, TX 78712, USA
| | - Stacie L Warren
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA ; Current affiliation: Department of Mental Health, St. Louis VA Medical Center, St. Louis, MO 63110, USA
| | - Johanna M Hartlein
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA ; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Bradley L Schlaggar
- Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA ; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA ; Department of Anatomy & Neurobiology, Washington University School of Medicine, St. Louis, MO 63110, USA ; Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Kevin J Black
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA ; Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA ; Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA ; Department of Anatomy & Neurobiology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Lei Wang
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA ; Current affiliation: Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine Chicago, Chicago, IL 60611, USA ; Current affiliation: Department of Radiology, Northwestern University Feinberg School of Medicine Chicago, Chicago, IL 60611, USA
| |
Collapse
|
32
|
Thermenos HW, Keshavan MS, Juelich RJ, Molokotos E, Whitfield-Gabrieli S, Brent BK, Makris N, Seidman LJ. A review of neuroimaging studies of young relatives of individuals with schizophrenia: a developmental perspective from schizotaxia to schizophrenia. Am J Med Genet B Neuropsychiatr Genet 2013; 162B:604-35. [PMID: 24132894 DOI: 10.1002/ajmg.b.32170] [Citation(s) in RCA: 83] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2013] [Accepted: 04/24/2013] [Indexed: 11/08/2022]
Abstract
In an effort to identify the developing abnormalities preceding psychosis, Dr. Ming T. Tsuang and colleagues at Harvard expanded Meehl's concept of "schizotaxia," and examined brain structure and function in families affected by schizophrenia (SZ). Here, we systematically review genetic (familial) high-risk (HR) studies of SZ using magnetic resonance imaging (MRI), examine how findings inform models of SZ etiology, and suggest directions for future research. Neuroimaging studies of youth at HR for SZ through the age of 30 were identified through a MEDLINE (PubMed) search. There is substantial evidence of gray matter volume abnormalities in youth at HR compared to controls, with an accelerated volume reduction over time in association with symptoms and cognitive deficits. In structural neuroimaging studies, prefrontal cortex (PFC) alterations were the most consistently reported finding in HR. There was also consistent evidence of smaller hippocampal volume. In functional studies, hyperactivity of the right PFC during performance of diverse tasks with common executive demands was consistently reported. The only longitudinal fMRI study to date revealed increasing left middle temporal activity in association with the emergence of psychotic symptoms. There was preliminary evidence of cerebellar and default mode network alterations in association with symptoms. Brain abnormalities in structure, function and neurochemistry are observed in the premorbid period in youth at HR for SZ. Future research should focus on the genetic and environmental contributions to these alterations, determine how early they emerge, and determine whether they can be partially or fully remediated by innovative treatments.
Collapse
Affiliation(s)
- H W Thermenos
- Harvard Medical School, Boston, Massachusetts; Massachusetts Mental Health Center, Division of Public Psychiatry, Boston, Massachusetts; Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts; Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | | | | | | | | | | | | | | |
Collapse
|
33
|
Schwerk A, Alves FDS, Pouwels PJW, van Amelsvoort T. Metabolic alterations associated with schizophrenia: a critical evaluation of proton magnetic resonance spectroscopy studies. J Neurochem 2013; 128:1-87. [DOI: 10.1111/jnc.12398] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2013] [Revised: 07/31/2013] [Accepted: 08/03/2013] [Indexed: 12/19/2022]
Affiliation(s)
- Anne Schwerk
- Department of Neurology; Charité - University Medicine; Berlin Germany
| | - Fabiana D. S. Alves
- Department of Psychiatry; Academic Medical Centre; Amsterdam The Netherlands
| | - Petra J. W. Pouwels
- Department of Physics& Medical Technology; VU University Medical Centre; Amsterdam The Netherlands
| | - Therese van Amelsvoort
- Department of Psychiatry and Psychology; Maastricht University; Maastricht The Netherlands
| |
Collapse
|
34
|
Heritability of subcortical brain measures: a perspective for future genome-wide association studies. Neuroimage 2013; 83:98-102. [PMID: 23770413 DOI: 10.1016/j.neuroimage.2013.06.027] [Citation(s) in RCA: 73] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2013] [Revised: 05/31/2013] [Accepted: 06/07/2013] [Indexed: 01/02/2023] Open
Abstract
Several large imaging-genetics consortia aim to identify genetic variants influencing subcortical brain volumes. We investigated the extent to which genetic variation accounts for the variation in subcortical volumes, including thalamus, amygdala, putamen, caudate nucleus, globus pallidus and nucleus accumbens and obtained the stability of these brain volumes over a five-year period. The heritability estimates for all subcortical regions were high, with the highest heritability estimates observed for the thalamus (.80) and caudate nucleus (.88) and lowest for the left nucleus accumbens (.44). Five-year stability was substantial and higher for larger [e.g., thalamus (.88), putamen (.86), caudate nucleus (.87)] compared to smaller [nucleus accumbens (.45)] subcortical structures. These results provide additional evidence that subcortical structures are promising starting points for identifying genetic variants that influence brain structure.
Collapse
|
35
|
Lin M, Fwu PT, Buss C, Davis EP, Head K, Muftuler LT, Sandman CA, Su MY. Developmental changes in hippocampal shape among preadolescent children. Int J Dev Neurosci 2013; 31:473-81. [PMID: 23773912 DOI: 10.1016/j.ijdevneu.2013.06.001] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2013] [Revised: 06/03/2013] [Accepted: 06/04/2013] [Indexed: 11/25/2022] Open
Abstract
It is known that the largest developmental changes in the hippocampus take place during the prenatal period and during the first two years of postnatal life. Few studies have been conducted to address the normal developmental trajectory of the hippocampus during childhood. In this study shape analysis was applied to study the normal developing hippocampus in a group of 103 typically developing 6- to 10-year-old preadolescent children. The individual brain was normalized to a template, and then the hippocampus was manually segmented and further divided into the head, body, and tail sub-regions. Three different methods were applied for hippocampal shape analysis: radial distance mapping, surface-based template registration using the robust point matching (RPM) algorithm, and volume-based template registration using the Demons algorithm. All three methods show that the older children have bilateral expanded head segments compared to the younger children. The results analyzed based on radial distance to the centerline were consistent with those analyzed using template-based registration methods. In analyses stratified by sex, it was found that the age-associated anatomical changes were similar in boys and girls, but the age-association was strongest in girls. Total hippocampal volume and sub-regional volumes analyzed using manual segmentation did not show a significant age-association. Our results suggest that shape analysis is sensitive to detect sub-regional differences that are not revealed in volumetric analysis. The three methods presented in this study may be applied in future studies to investigate the normal developmental trajectory of the hippocampus in children. They may be further applied to detect early deviations from the normal developmental trajectory in young children for evaluating susceptibility for psychopathological disorders involving hippocampus.
Collapse
Affiliation(s)
- Muqing Lin
- Tu & Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California, Irvine, CA, USA
| | | | | | | | | | | | | | | |
Collapse
|
36
|
Dennison M, Whittle S, Yücel M, Vijayakumar N, Kline A, Simmons J, Allen NB. Mapping subcortical brain maturation during adolescence: evidence of hemisphere- and sex-specific longitudinal changes. Dev Sci 2013; 16:772-91. [PMID: 24033581 DOI: 10.1111/desc.12057] [Citation(s) in RCA: 104] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2012] [Accepted: 02/08/2013] [Indexed: 12/31/2022]
Abstract
Early to mid-adolescence is an important developmental period for subcortical brain maturation, but longitudinal studies of these neurodevelopmental changes are lacking. The present study acquired repeated magnetic resonance images from 60 adolescent subjects (28 female) at ages 12.5 and 16.5 years to map changes in subcortical structure volumes. Automated segmentation techniques optimized for longitudinal measurement were used to delineate volumes of the caudate, putamen, nucleus accumbens, pallidum, hippocampus, thalamus and the whole brain. Amygdala volumes were described using manual tracing methods. The results revealed heterogeneous maturation across the regions of interest (ROIs), and change was differentially moderated by sex and hemisphere. The caudate, thalamus and putamen declined in volume, more for females relative to males, and decreases in the putamen and thalamus were greater in the left hemisphere. The pallidum increased in size, but more so in the left hemisphere. While the left nucleus accumbens increased in size, the right accumbens decreased in size over the follow-up period. Increases in hippocampal volume were greater in the right hemisphere. While amygdala volume did not change over time, the left hemisphere was consistently larger than the right. These results suggest that subcortical brain development from early to middle adolescence is characterized by striking hemispheric specialization and sexual dimorphisms, and provide a framework for interpreting normal and abnormal changes in cognition, affect and behavior. Moreover, the differences in findings compared to previous cross-sectional research emphasize the importance of within-subject assessment of brain development during adolescence.
Collapse
Affiliation(s)
- Meg Dennison
- Melbourne School of Psychological Sciences, University of Melbourne, Australia
| | | | | | | | | | | | | |
Collapse
|
37
|
Abstract
The striatum, comprising the caudate nucleus, putamen and nucleus accumbens, occupies a strategic location within cortico-striato-pallido-thalamic-cortical (corticostriatal) re-entrant neural circuits. Striatal neurodevelopment is precisely determined by phylogenetically conserved homeobox genes. Consisting primarily of medium spiny neurons, the striatum is strictly topographically organized based on cortical afferents and efferents. Particular corticostriatal neural circuits are considered to subserve certain domains of cognition, emotion and behaviour. Thus, the striatum may serve as a map of structural change in the cortical afferent pathways owing to deafferentation or neuroplasticity, and conversely, structural change in the striatum per se may structurally disrupt corticostriatal pathways. The morphology of the striatum may be quantified in vivo using advanced magnetic resonance imaging, as may cognitive functioning pertaining to corticostriatal circuits. It is proposed that striatal morphology may be a biomarker in neurodegenerative disease and potentially the basis of an endophenotype.
Collapse
|
38
|
McClure R, Styner M, Maltbie E, Lieberman J, Gouttard S, Gerig G, Shi X, Zhu H. Localized differences in caudate and hippocampal shape are associated with schizophrenia but not antipsychotic type. Psychiatry Res 2013; 211:1-10. [PMID: 23142194 PMCID: PMC3557605 DOI: 10.1016/j.pscychresns.2012.07.001] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2011] [Revised: 06/20/2012] [Accepted: 07/03/2012] [Indexed: 11/20/2022]
Abstract
UNLABELLED Caudate and hippocampal volume differences in patients with schizophrenia are associated with disease and antipsychotic treatment, but local shape alterations have not been thoroughly examined. Schizophrenia patients randomly assigned to haloperidol and olanzapine treatment underwent magnetic resonance imaging (MRI) at 3, 6, and 12 months. The caudate and hippocampus were represented as medial representations (M-reps); mesh structures derived from automatic segmentations of high resolution MRIs. Two quantitative shape measures were examined: local width and local deformation. A novel nonparametric statistical method, adjusted exponentially tilted (ET) likelihood, was used to compare the shape measures across the three groups while controlling for covariates. Longitudinal shape change was not observed in the hippocampus or caudate when the treatment groups and controls were examined in a global analysis, nor when the three groups were examined individually. Both baseline and repeated measures analysis showed differences in local caudate and hippocampal size between patients and controls, while no consistent differences were shown between treatment groups. Regionally specific differences in local hippocampal and caudate shape are present in schizophrenic patients. Treatment-related related longitudinal shape change was not observed within the studied timeframe. Our results provide additional evidence for disrupted cortico-basal ganglia-thalamo-cortical circuits in schizophrenia. CLINICAL TRIAL INFORMATION This longitudinal study was conducted from March 1, 1997 to July 31, 2001 at 14 academic medical centers (11 in the United States, one in Canada, one in the Netherlands, and one in England). This study was performed prior to the establishment of centralized registries of federally and privately supported clinical trials.
Collapse
Affiliation(s)
- Robert McClure
- Departments of Psychiatry, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Martin Styner
- Departments of Psychiatry, University of North Carolina, Chapel Hill, NC, 27599, USA
- Computer Science, University of North Carolina, Chapel Hill, NC, 27599, USA
- Corresponding Author: Martin Styner, University of North Carolina, CB 7160, Department of Psychiatry, Chapel Hill, NC 27599, Telephone: (919) 843-1092, Fax: (919) 966- 7225,
| | - Eric Maltbie
- Departments of Psychiatry, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Jeffrey Lieberman
- Department of Psychiatry, Columbia University, New York, NY 10032, USA
| | - Sylvain Gouttard
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Guido Gerig
- Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Xiaoyan Shi
- Biostatistics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Hongtu Zhu
- Biostatistics, University of North Carolina, Chapel Hill, NC, 27599, USA
| |
Collapse
|
39
|
Yang Y, Nuechterlein KH, Phillips OR, Gutman B, Kurth F, Dinov I, Thompson PM, Asarnow RF, Toga AW, Narr KL. Disease and genetic contributions toward local tissue volume disturbances in schizophrenia: a tensor-based morphometry study. Hum Brain Mapp 2012; 33:2081-91. [PMID: 22241649 DOI: 10.1002/hbm.21349] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Structural brain deficits, especially frontotemporal volume reduction and ventricular enlargement, have been repeatedly reported in patients with schizophrenia. However, it remains unclear whether brain structural deformations may be attributable to disease-related or genetic factors. In this study, the structural magnetic resonance imaging data of 48 adult-onset schizophrenia patients, 65 first-degree nonpsychotic relatives of schizophrenia patients, 27 community comparison (CC) probands, and 73 CC relatives were examined using tensor-based morphometry (TBM) to isolate global and localized differences in tissue volume across the entire brain between groups. We found brain tissue contractions most prominently in frontal and temporal regions and expansions in the putamen/pallidum, and lateral and third ventricles in schizophrenia patients when compared with unrelated CC probands. Results were similar, though less prominent when patients were compared with their nonpsychotic relatives. Structural deformations observed in unaffected patient relatives compared to age-similar CC relatives were suggestive of schizophrenia-related genetic liability and were pronounced in the putamen/pallidum and medial temporal regions. Schizophrenia and genetic liability effects for the putamen/pallidum were confirmed by regions-of-interest analysis. In conclusion, TBM findings complement reports of frontal, temporal, and ventricular dysmorphology in schizophrenia and further indicate that putamen/pallidum enlargements, originally linked mainly with medication exposure in early studies, also reflect a genetic predisposition for schizophrenia. Thus, brain deformation profiles revealed in this study may help to clarify the role of specific genetic or environmental risk factors toward altered brain morphology in schizophrenia.
Collapse
Affiliation(s)
- Yaling Yang
- Laboratory of Neuro Imaging, Geffen School of Medicine at UCLA, Los Angeles, CA 90024, USA.
| | | | | | | | | | | | | | | | | | | |
Collapse
|
40
|
Differences in subcortical structures in young adolescents at familial risk for schizophrenia: a preliminary study. Psychiatry Res 2012; 204:68-74. [PMID: 23146250 PMCID: PMC3518556 DOI: 10.1016/j.pscychresns.2012.04.016] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2011] [Revised: 02/23/2012] [Accepted: 04/24/2012] [Indexed: 11/23/2022]
Abstract
Schizophrenia has been associated with reduced volumes of subcortical structures on magnetic resonance imaging (MRI), but the relation of these reductions to familial risk for the disorder is unclear. We investigated the effect of familial risk for schizophrenia on regional subcortical volumes during adolescence, a period marked by steep maturational changes in brain structure and the emergence of psychotic symptoms. A group of 26 non-help-seeking, first-degree relatives of patients with schizophrenia and 43 matched healthy comparisons, between 9 and 18 years of age, underwent MRI scanning and were rated for the presence of prodromal symptoms. Five subcortical regions-of-interest were tested for group differences and group by age interactions, as well as correlations with low-level prodromal symptoms in the familial risk group. Relative to comparisons, familial risk subjects demonstrated greater positive volume-age relationships in hippocampus, putamen, and globus pallidus. These results suggest that relatives of individuals with schizophrenia exhibit structural abnormalities in the subcortex as early as pre-adolescence, which may reflect altered neurodevelopment of these regions.
Collapse
|
41
|
Abstract
Structural brain measures are employed as endophenotypes in the search for schizophrenia susceptibility genes. We analyzed two independent structural imaging datasets with voxel-based morphometry and with source-based morphometry, a multivariate, independent components analysis, to determine the stability and heritability of regional gray matter concentration abnormalities in schizophrenia. The samples comprised 209 and 102 patients with schizophrenia and 208 and 96 healthy volunteers, respectively. The second sample additionally included non-ill siblings of participants with and without schizophrenia. A standard voxel-based analysis showed reproducible regional gray matter deficits in the affected participants compared with unrelated, unaffected controls in both datasets: patients showed significant gray matter concentration deficits in cortical frontal, temporal, and insular lobes. Source-based morphometry (SBM) was applied to the gray matter images of the entire sample to determine the effects of diagnosis on networks of covarying structures. The SBM analysis extracted 24 significant sets of covarying regions (components). Four of these components showed significantly lower gray matter concentrations in patients (p < .05). We determined the familiality of the observed SBM components based on 66 sibling pairs (25 discordant for schizophrenia). Two components, one including the medial frontal, insular, inferior frontal, and temporal lobes, and the other including the posterior occipital lobe, showed significant familiality (p < .05). We conclude that structural brain deficits in schizophrenia are replicable, and that SBM can extract unique familial and likely heritable components. SBM provides a useful data reduction technique that can provide measures that may serve as endophenotypes for schizophrenia.
Collapse
|
42
|
Karnik-Henry MS, Wang L, Barch DM, Harms MP, Campanella C, Csernansky JG. Medial temporal lobe structure and cognition in individuals with schizophrenia and in their non-psychotic siblings. Schizophr Res 2012; 138:128-35. [PMID: 22542243 PMCID: PMC3372633 DOI: 10.1016/j.schres.2012.03.015] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2011] [Revised: 03/05/2012] [Accepted: 03/07/2012] [Indexed: 12/15/2022]
Abstract
Medial temporal lobe (MTL) structures play a central role in episodic memory. Prior studies suggest that individuals with schizophrenia have deficits in episodic memory as well as structural abnormalities of the medial temporal lobe (MTL). While correlations have been reported between MTL volume loss and episodic memory deficits in such individuals, it is not clear whether such correlations reflect the influence of the disease state or of underlying genetic influences that might contribute to risk. We used high resolution magnetic resonance imaging and probabilistic algorithms for image analysis to determine whether MTL structure, episodic memory performance and the relationship between the two differed among groups of 47 healthy control subjects, 50 control siblings, 39 schizophrenia subjects, and 33 siblings of schizophrenia subjects. High-dimensional large deformation brain mapping was used to obtain volume measures of the hippocampus. Cortical distance mapping was used to obtain volume and thickness measures of the parahippocampal gyrus (PHG) and its substructures: the entorhinal cortex (ERC), the perirhinal cortex (PRC), and the parahippocampal cortex (PHC). Neuropsychological data was used to establish an episodic memory domain score for each subject. Both schizophrenia subjects and their siblings displayed abnormalities in episodic memory performance. Siblings of individuals with schizophrenia, and to a lesser extent, individuals with schizophrenia themselves, displayed abnormalities in measures of MTL structure (volume loss or cortical thinning) as compared to control groups. Further, we observed correlations between structural measures and memory performance in both schizophrenia subjects and their siblings, but not in their respective control groups. These findings suggest that disease-specific genetic factors present in both patients and their relatives may be responsible for correlated abnormalities of MTL structure and memory impairment. The observed attenuated effect of such factors on MTL structure in individuals with schizophrenia may be due to non-genetic influences related to the development and progression of the disease on global brain structure and cognitive processing.
Collapse
Affiliation(s)
- Meghana S. Karnik-Henry
- Department of Psychology, Green Mountain College,Corresponding Author: Meghana S. Karnik-Henry, 1 Brennan Circle, Poultney, VT 05764,
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern Feinberg School of Medicine, Chicago, IL
| | - Deanna M. Barch
- Department of Psychology, Washington University, St. Louis, MO,Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Michael P. Harms
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | | | - John G. Csernansky
- Department of Psychiatry and Behavioral Sciences, Northwestern Feinberg School of Medicine, Chicago, IL
| |
Collapse
|
43
|
Looi JCL, Walterfang M, Velakoulis D, Macfarlane MD, Svensson LA, Wahlund LO. Frontotemporal dementia as a frontostriatal disorder: neostriatal morphology as a biomarker and structural basis for an endophenotype. Aust N Z J Psychiatry 2012; 46:422-34. [PMID: 22535292 DOI: 10.1177/0004867411432076] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVE This article reviews the evidence for a re-conceptualisation of a subtype of frontotemporal lobar degeneration (FTLD), frontotemporal dementia (FTD), as a frontostriatal disorder, working towards an endophenotype. METHOD We provide an overview of the role of frontostriatal circuits relevant to FTLD and FTD, as a subset of larger-scale distributed brain networks. We discuss the role of a strategic structure in these circuits, the neostriatum. Then we review the relationship of the clinical features of FTLD to frontostriatal circuits, correlating this with neuropsychological and neuropathological data. CONCLUSION The unique structure and linkages of the neostriatum make it an ideal structure for in vivo neuroimaging to understand the neuroanatomical basis of FTD. We develop a frontostriatal endophenotypic model for FTD as a platform for further investigation.
Collapse
Affiliation(s)
- Jeffrey C L Looi
- Research Centre for the Neurosciences of Ageing, Academic Unit of Psychological Medicine, Australian National University Medical School, Canberra Hospital, Canberra, Australia.
| | | | | | | | | | | |
Collapse
|
44
|
Hirjak D, Wolf RC, Stieltjes B, Seidl U, Schröder J, Thomann PA. Neurological soft signs and subcortical brain morphology in recent onset schizophrenia. J Psychiatr Res 2012; 46:533-9. [PMID: 22316638 DOI: 10.1016/j.jpsychires.2012.01.015] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2011] [Revised: 01/06/2012] [Accepted: 01/09/2012] [Indexed: 11/15/2022]
Abstract
BACKGROUND Minor motor and sensory deficits or neurological soft signs (NSS) are frequently found in patients with schizophrenia at any stage of their illness. The thalamus and basal ganglia are accepted as being important for both motor control and integration of sensory input. However, whether NSS are related to alterations of these brain regions remains controversial. METHOD Twenty patients with recent onset schizophrenia were investigated using high-resolution magnetic resonance imaging (MRI) at 3 Tesla. NSS were examined on the Heidelberg Scale after remission of acute symptoms and related to both volumetric and shape measurements of thalamus, caudate nucleus, putamen, and globus pallidus, respectively. Age, education, medication and duration of illness were considered as potential confounders. RESULTS NSS were associated with structural alterations predominantly in the thalamus, the left caudate nucleus, and in the right globus pallidus. According to shape analyses these associations referred to regionally specific morphometric alterations rather than to global atrophy of the respective structures. CONCLUSION Our findings provide new insights into the association of NSS with brain morphometric alterations and lend further support to an involvement of multiple subcortical regions in schizophrenia.
Collapse
Affiliation(s)
- Dusan Hirjak
- Structural Neuroimaging Group, Department of General Psychiatry, University of Heidelberg, Germany.
| | | | | | | | | | | |
Collapse
|
45
|
Structure-function relationship of working memory activity with hippocampal and prefrontal cortex volumes. Brain Struct Funct 2012; 218:173-86. [PMID: 22362200 DOI: 10.1007/s00429-012-0391-8] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2011] [Accepted: 01/31/2012] [Indexed: 10/28/2022]
Abstract
A rapidly increasing number of studies are quantifying the system-level network architecture of the human brain based on structural-to-structural and functional-to-functional relationships. However, a largely unexplored area is the nature and existence of "cross-modal" structural-functional relationships, in which, for example, the volume (or other morphological property) of one brain region is related to the functional response to a given task either in that same brain region, or another brain region. The present study investigated whether the gray matter volume of a selected group of structures (superior, middle, and inferior frontal gyri, thalamus, and hippocampus) was correlated with the fMRI response to a working memory task, within a mask of regions previously identified as involved with working memory. The subjects included individuals with schizophrenia, their siblings, and healthy controls (n = 154 total). Using rigorous permutation testing to define the null distribution, we found that the volume of the superior and middle frontal gyri was correlated with working memory activity within clusters in the intraparietal sulcus (i.e., dorsal parietal cortex) and that the volume of the hippocampus was correlated with working memory activity within clusters in the dorsal anterior cingulate cortex and left inferior frontal gyrus. However, we did not find evidence that the identified structure-function relationships differed between subject groups. These results show that long-distance structural-functional relationships exist within the human brain. The study of such cross-modal relationships represents an additional approach for studying systems-level interregional brain networks.
Collapse
|
46
|
Ettinger U, Schmechtig A, Toulopoulou T, Borg C, Orrells C, Owens S, Matsumoto K, van Haren NE, Hall MH, Kumari V, McGuire PK, Murray RM, Picchioni M. Prefrontal and striatal volumes in monozygotic twins concordant and discordant for schizophrenia. Schizophr Bull 2012; 38:192-203. [PMID: 20538831 PMCID: PMC3245600 DOI: 10.1093/schbul/sbq060] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Frontostriatal networks mediating important cognitive and motor functions have been shown to be abnormal structurally and functionally in schizophrenia. However, the influence of genetic risk for schizophrenia on structural abnormalities in these areas is not well established. This study therefore aimed to investigate prefrontal and striatal volume alterations in schizophrenia and to define the extent to which they are dependent on genetic vulnerability for the condition. We employed structural magnetic resonance imaging (sMRI) in monozygotic (MZ) twins with or without schizophrenia. A sample of 129 twins completed sMRI, consisting of 21 MZ twin pairs concordant for schizophrenia, 17 MZ schizophrenic twins and 18 MZ nonschizophrenic twins drawn from 19 pairs discordant for schizophrenia, and 26 MZ control twin pairs without schizophrenia. Groups did not significantly differ in age, gender, handedness, height, level of education, parental socioeconomic status, and ethnicity. Using a region-of-interest approach, we measured the gray matter volumes (in cm(3)) of superior, middle, inferior, and orbital frontal cortices (SFC, MFC, IFC, and OFC, respectively); the caudate; and putamen. Covarying for whole-brain volume, age, and gender, we found that concordant but not discordant twins with schizophrenia had significantly lower volumes of MFC and OFC than control twins. In contrast, both patient groups had significantly lower SFC volumes than both groups of nonschizophrenic twins. There were no significant group differences in IFC and the striatum. We conclude that the prefrontal cortex shows a heterogeneous pattern of genetic influences on volumetric reductions in schizophrenia.
Collapse
Affiliation(s)
- Ulrich Ettinger
- Department of Psychiatry, Ludwig-Maximilians-University, Nussbaumstr. 7, 80336, Munich, Germany.
| | - Anne Schmechtig
- King's College London, Department of Neuroimaging, Institute of Psychiatry, London, UK
| | - Timothea Toulopoulou
- King's College London, Department of Psychosis Studies, Biomedical Research Centre, Institute of Psychiatry, London, UK
| | - Charmaine Borg
- King's College London, Department of Neuroimaging, Institute of Psychiatry, London, UK
| | - Claire Orrells
- King's College London, Department of Neuroimaging, Institute of Psychiatry, London, UK
| | - Sheena Owens
- King's College London, Department of Psychosis Studies, Biomedical Research Centre, Institute of Psychiatry, London, UK
| | - Kazunori Matsumoto
- King's College London, Department of Psychosis Studies, Biomedical Research Centre, Institute of Psychiatry, London, UK
| | - Neeltje E. van Haren
- Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Mei-Hua Hall
- Psychology Research Laboratory, McLean Hospital, Harvard Medical School, Boston, MA, USA
| | - Veena Kumari
- Department of Psychology, Institute of Psychiatry, King’s College London, London, UK
| | - Philip K. McGuire
- King's College London, Department of Psychosis Studies, Biomedical Research Centre, Institute of Psychiatry, London, UK
| | - Robin M. Murray
- King's College London, Department of Psychosis Studies, Biomedical Research Centre, Institute of Psychiatry, London, UK
| | - Marco Picchioni
- King's College London, Department of Psychosis Studies, Biomedical Research Centre, Institute of Psychiatry, London, UK,King’s College London, St Andrew’s Academic Centre, Institute of Psychiatry Northampton, UK
| |
Collapse
|
47
|
Smith MJ, Wang L, Cronenwett W, Goldman MB, Mamah D, Barch DM, Csernansky JG. Alcohol use disorders contribute to hippocampal and subcortical shape differences in schizophrenia. Schizophr Res 2011; 131:174-83. [PMID: 21658914 PMCID: PMC3159796 DOI: 10.1016/j.schres.2011.05.014] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2011] [Revised: 05/11/2011] [Accepted: 05/18/2011] [Indexed: 12/25/2022]
Abstract
BACKGROUND Alcohol abuse and dependence have been reported to exacerbate the clinical course of schizophrenia. However, the neurobiological basis of this co-morbid interaction is unknown. The aim of this study was to determine the relationship of co-morbid alcohol use disorder (AUD) with brain structure abnormalities in schizophrenia patients. METHODS T1-weighted magnetic resonance images were collected from schizophrenia patients without a history of any substance use disorder (SCZ_0, n=35), schizophrenia patients with a history of AUD only (SCZ_AUD, n=16), and a healthy comparison group without a history of any substance use disorder (CON, n=56). Large-deformation, high-dimensional brain mapping was used to quantify the surface shapes of the hippocampus, thalamus, striatum, and globus pallidus in these subject groups. Analysis of variance was used to test for differences in surface shape measures among the groups. RESULTS SCZ_AUD demonstrated the greatest severity of shape abnormalities in the hippocampus, thalamus, striatum, and globus pallidus as compared to SCZ_0 and CON. SCZ_AUD demonstrated a combination of exaggerated shape differences in regions where SCZ_0 also showed shape differences, and unique shape differences that were not observed in SCZ_0 or CON. CONCLUSIONS Shape differences in schizophrenia were compounded by a history of co-morbid AUD. Future research is needed to determine whether these differences are simply additive or whether they are due to an interaction between the underlying neurobiology of schizophrenia and alcoholism. The consequences of such shape differences for the clinical course of schizophrenia are not yet understood.
Collapse
Affiliation(s)
- Matthew J. Smith
- Northwestern University Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences
| | - Lei Wang
- Northwestern University Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences,Northwestern University Feinberg School of Medicine, Department of Radiology
| | - Will Cronenwett
- Northwestern University Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences
| | - Morris B. Goldman
- Northwestern University Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences
| | | | - Deanna M. Barch
- Washington University, Department of Psychiatry,Washington University, Department of Psychology,Washington University, Department of Radiology
| | - John G. Csernansky
- Northwestern University Feinberg School of Medicine, Department of Psychiatry and Behavioral Sciences
| |
Collapse
|
48
|
Waters-Metenier S, Toulopoulou T. Putative structural neuroimaging endophenotypes in schizophrenia: a comprehensive review of the current evidence. FUTURE NEUROLOGY 2011. [DOI: 10.2217/fnl.11.35] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
The genetic contribution to schizophrenia etiopathogenesis is underscored by the fact that the best predictor of developing schizophrenia is having an affected first-degree relative, which increases lifetime risk by tenfold, as well as the observation that when both parents are affected, the risk of schizophrenia increases to approximately 50%, compared with 1% in the general population. The search to elucidate the complex genetic architecture of schizophrenia has employed various approaches, including twin and family studies to examine co-aggregation of brain abnormalities, studies on genetic linkage and studies using genome-wide association to identify genetic variations associated with schizophrenia. ‘Endophenotypes’, or ‘intermediate phenotypes’, are potentially narrower constructs of genetic risk. Hypothetically, they are intermediate in the pathway between genetic variation and clinical phenotypes and can supposedly be implemented to assist in the identification of genetic diathesis for schizophrenia and, possibly, in redefining clinical phenomenology.
Collapse
Affiliation(s)
- Sheena Waters-Metenier
- Department of Psychosis Studies, King’s College London, King’s Health Partners, Institute of Psychiatry, London, UK
| | | |
Collapse
|
49
|
Swerdlow NR. Are we studying and treating schizophrenia correctly? Schizophr Res 2011; 130:1-10. [PMID: 21645998 PMCID: PMC3139794 DOI: 10.1016/j.schres.2011.05.004] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2011] [Revised: 04/27/2011] [Accepted: 05/04/2011] [Indexed: 12/15/2022]
Abstract
New findings are rapidly revealing an increasingly detailed image of neural- and molecular-level dysfunction in schizophrenia, distributed throughout interconnected cortico-striato-pallido-thalamic circuitry. Some disturbances appear to reflect failures of early brain maturation, that become codified into dysfunctional circuit properties, resulting in a substantial loss of, or failure to develop, both cells and/or appropriate connectivity across widely dispersed brain regions. These circuit disturbances are variable across individuals with schizophrenia, perhaps reflecting the interaction of multiple different risk genes and epigenetic events. Given these complex and variable hard-wired circuit disturbances, it is worth considering how new and emerging findings can be integrated into actionable treatment models. This paper suggests that future efforts towards developing more effective therapeutic approaches for the schizophrenias should diverge from prevailing models in genetics and molecular neuroscience, and focus instead on a more practical three-part treatment strategy: 1) systematic rehabilitative psychotherapies designed to engage healthy neural systems to compensate for and replace dysfunctional higher circuit elements, used in concert with 2) medications that specifically target cognitive mechanisms engaged by these rehabilitative psychotherapies, and 3) antipsychotic medications that target nodal or convergent circuit points within the limbic-motor interface, to constrain the scope and severity of psychotic exacerbations and thereby facilitate engagement in cognitive rehabilitation. The use of targeted cognitive rehabilitative psychotherapy plus synergistic medication has both common sense and time-tested efficacy with numerous other neuropsychiatric disorders.
Collapse
Affiliation(s)
- Neal R Swerdlow
- School of Medicine, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093-0804, United States.
| |
Collapse
|
50
|
Looi JCL, Walterfang M, Styner M, Niethammer M, Svensson LA, Lindberg O, Ostberg P, Botes L, Orndahl E, Chua P, Velakoulis D, Wahlund LO. Shape analysis of the neostriatum in subtypes of frontotemporal lobar degeneration: neuroanatomically significant regional morphologic change. Psychiatry Res 2011; 191:98-111. [PMID: 21237621 DOI: 10.1016/j.pscychresns.2010.09.014] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2010] [Revised: 08/25/2010] [Accepted: 09/26/2010] [Indexed: 01/11/2023]
Abstract
Frontostriatal circuit mediated cognitive dysfunction has been implicated in frontotemporal lobar degeneration (FTLD) and may differ across subtypes of FTLD. We manually segmented the neostriatum (caudate nucleus and putamen) in FTLD subtypes: behavioral variant frontotemporal dementia, FTD, n=12; semantic dementia, SD, n=13; and progressive non-fluent aphasia, PNFA, n=9); in comparison with controls (n=27). Diagnoses were based on international consensus criteria. Manual bilateral segmentation of the caudate nucleus and putamen was conducted blind to diagnosis by a single analyst, on MRI scans using a standardized protocol. Intracranial volume was calculated via a stereological point counting technique and was used for normalizing the shape analysis. Segmented binaries were analyzed using the Spherical Harmonic (SPHARM) Shape Analysis tools (University of North Carolina) to perform comparisons between FTLD subtypes and controls for global shape difference, local significance maps and mean magnitude maps of shape displacement. Shape analysis revealed that there was significant shape difference between FTLD subtypes and controls, consistent with the predicted frontostriatal dysfunction and of significant magnitude, as measured by displacement maps. These differences were not significant for SD compared to controls; lesser for PNFA compared to controls; whilst FTD showed a more specific pattern in regions relaying fronto- and corticostriatal circuits. Shape analysis shows regional specificity of atrophy, manifest as shape deflation, with a differential between FTLD subtypes, compared to controls.
Collapse
Affiliation(s)
- Jeffrey Chee Leong Looi
- Research Centre for the Neurosciences of Ageing, Australian National University Medical School, Canberra Hospital, Canberra, Australia.
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|