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Rodríguez-Prieto Á, Mateos-White I, Aníbal-Martínez M, Navarro-González C, Gil-Sanz C, Domínguez-Canterla Y, González-Manteiga A, Del Buey Furió V, López-Bendito G, Fazzari P. Nrg1 intracellular signaling regulates the development of interhemispheric callosal axons in mice. Life Sci Alliance 2024; 7:e202302250. [PMID: 38918041 PMCID: PMC11200272 DOI: 10.26508/lsa.202302250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 06/14/2024] [Accepted: 06/14/2024] [Indexed: 06/27/2024] Open
Abstract
Schizophrenia is associated with altered cortical circuitry. Although the schizophrenia risk gene NRG1 is known to affect the wiring of inhibitory interneurons, its role in excitatory neurons and axonal development is unclear. Here, we investigated the role of Nrg1 in the development of the corpus callosum, the major interhemispheric connection formed by cortical excitatory neurons. We found that deletion of Nrg1 impaired callosal axon development in vivo. Experiments in vitro and in vivo demonstrated that Nrg1 is cell-autonomously required for axonal outgrowth and that intracellular signaling of Nrg1 is sufficient to promote axonal development in cortical neurons and specifically in callosal axons. Furthermore, our data suggest that Nrg1 signaling regulates the expression of Growth Associated Protein 43, a key regulator of axonal growth. In conclusion, our study demonstrates that NRG1 is involved in the formation of interhemispheric callosal connections and provides a novel perspective on the relevance of NRG1 in excitatory neurons and in the etiology of schizophrenia.
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Affiliation(s)
- Ángela Rodríguez-Prieto
- Lab of Cortical Circuits in Health and Disease, CIPF Centro de Investigación Príncipe, Valencia, Spain
| | - Isabel Mateos-White
- Lab of Neural Development, BIOTECMED Institute, Universidad de Valencia, Valencia, Spain
| | - Mar Aníbal-Martínez
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas (UMH-CSIC), Sant Joan d'Alacant, Spain
| | - Carmen Navarro-González
- Lab of Cortical Circuits in Health and Disease, CIPF Centro de Investigación Príncipe, Valencia, Spain
- Department of Biotechnology, Universitat Politècnica de València, Valencia, Spain
| | - Cristina Gil-Sanz
- Lab of Neural Development, BIOTECMED Institute, Universidad de Valencia, Valencia, Spain
| | - Yaiza Domínguez-Canterla
- Lab of Cortical Circuits in Health and Disease, CIPF Centro de Investigación Príncipe, Valencia, Spain
| | - Ana González-Manteiga
- Lab of Cortical Circuits in Health and Disease, CIPF Centro de Investigación Príncipe, Valencia, Spain
| | - Verónica Del Buey Furió
- Lab of Cortical Circuits in Health and Disease, CIPF Centro de Investigación Príncipe, Valencia, Spain
| | - Guillermina López-Bendito
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas (UMH-CSIC), Sant Joan d'Alacant, Spain
| | - Pietro Fazzari
- Lab of Cortical Circuits in Health and Disease, CIPF Centro de Investigación Príncipe, Valencia, Spain
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2
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Mahadevan AS, Cornblath EJ, Lydon-Staley DM, Zhou D, Parkes L, Larsen B, Adebimpe A, Kahn AE, Gur RC, Gur RE, Satterthwaite TD, Wolf DH, Bassett DS. Alprazolam modulates persistence energy during emotion processing in first-degree relatives of individuals with schizophrenia: a network control study. Mol Psychiatry 2023; 28:3314-3323. [PMID: 37353585 PMCID: PMC10618098 DOI: 10.1038/s41380-023-02121-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 04/28/2023] [Accepted: 06/06/2023] [Indexed: 06/25/2023]
Abstract
Schizophrenia is marked by deficits in facial affect processing associated with abnormalities in GABAergic circuitry, deficits also found in first-degree relatives. Facial affect processing involves a distributed network of brain regions including limbic regions like amygdala and visual processing areas like fusiform cortex. Pharmacological modulation of GABAergic circuitry using benzodiazepines like alprazolam can be useful for studying this facial affect processing network and associated GABAergic abnormalities in schizophrenia. Here, we use pharmacological modulation and computational modeling to study the contribution of GABAergic abnormalities toward emotion processing deficits in schizophrenia. Specifically, we apply principles from network control theory to model persistence energy - the control energy required to maintain brain activation states - during emotion identification and recall tasks, with and without administration of alprazolam, in a sample of first-degree relatives and healthy controls. Here, persistence energy quantifies the magnitude of theoretical external inputs during the task. We find that alprazolam increases persistence energy in relatives but not in controls during threatening face processing, suggesting a compensatory mechanism given the relative absence of behavioral abnormalities in this sample of unaffected relatives. Further, we demonstrate that regions in the fusiform and occipital cortices are important for facilitating state transitions during facial affect processing. Finally, we uncover spatial relationships (i) between regional variation in differential control energy (alprazolam versus placebo) and (ii) both serotonin and dopamine neurotransmitter systems, indicating that alprazolam may exert its effects by altering neuromodulatory systems. Together, these findings provide a new perspective on the distributed emotion processing network and the effect of GABAergic modulation on this network, in addition to identifying an association between schizophrenia risk and abnormal GABAergic effects on persistence energy during threat processing.
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Affiliation(s)
- Arun S Mahadevan
- Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Eli J Cornblath
- Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA
| | - David M Lydon-Staley
- Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Dale Zhou
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA
| | - Linden Parkes
- Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Bart Larsen
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Azeez Adebimpe
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Ari E Kahn
- Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA
| | - Ruben C Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA
| | - Raquel E Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA
| | - Theodore D Satterthwaite
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Daniel H Wolf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Dani S Bassett
- Department of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Electrical & Systems Engineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Physics & Astronomy, College of Arts & Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Santa Fe Institute, 1399 Hyde Park Rd, Santa Fe, NM, 87501, USA.
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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3
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Seitz-Holland J, Nägele FL, Kubicki M, Pasternak O, Cho KIK, Hough M, Mulert C, Shenton ME, Crow TJ, James ACD, Lyall AE. Shared and distinct white matter abnormalities in adolescent-onset schizophrenia and adolescent-onset psychotic bipolar disorder. Psychol Med 2023; 53:4707-4719. [PMID: 35796024 PMCID: PMC11119277 DOI: 10.1017/s003329172200160x] [Citation(s) in RCA: 1] [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] [Indexed: 11/06/2022]
Abstract
BACKGROUND While adolescent-onset schizophrenia (ADO-SCZ) and adolescent-onset bipolar disorder with psychosis (psychotic ADO-BPD) present a more severe clinical course than their adult forms, their pathophysiology is poorly understood. Here, we study potentially state- and trait-related white matter diffusion-weighted magnetic resonance imaging (dMRI) abnormalities along the adolescent-onset psychosis continuum to address this need. METHODS Forty-eight individuals with ADO-SCZ (20 female/28 male), 15 individuals with psychotic ADO-BPD (7 female/8 male), and 35 healthy controls (HCs, 18 female/17 male) underwent dMRI and clinical assessments. Maps of extracellular free-water (FW) and fractional anisotropy of cellular tissue (FAT) were compared between individuals with psychosis and HCs using tract-based spatial statistics and FSL's Randomise. FAT and FW values were extracted, averaged across all voxels that demonstrated group differences, and then utilized to test for the influence of age, medication, age of onset, duration of illness, symptom severity, and intelligence. RESULTS Individuals with adolescent-onset psychosis exhibited pronounced FW and FAT abnormalities compared to HCs. FAT reductions were spatially more widespread in ADO-SCZ. FW increases, however, were only present in psychotic ADO-BPD. In HCs, but not in individuals with adolescent-onset psychosis, FAT was positively related to age. CONCLUSIONS We observe evidence for cellular (FAT) and extracellular (FW) white matter abnormalities in adolescent-onset psychosis. Although cellular white matter abnormalities were more prominent in ADO-SCZ, such alterations may reflect a shared trait, i.e. neurodevelopmental pathology, present across the psychosis spectrum. Extracellular abnormalities were evident in psychotic ADO-BPD, potentially indicating a more dynamic, state-dependent brain reaction to psychosis.
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Affiliation(s)
- Johanna Seitz-Holland
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Felix L. Nägele
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, University of Hamburg, Hamburg, Germany
| | - Marek Kubicki
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Ofer Pasternak
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Kang Ik K. Cho
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Morgan Hough
- SANE POWIC, University Department of Psychiatry, Warneford Hospital, Oxford, UK
- Highfield Unit, University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - Christoph Mulert
- Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, University of Hamburg, Hamburg, Germany
- Centre for Psychiatry and Psychotherapy, Justus-Liebig-University, Giessen, Germany
| | - Martha E. Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Timothy J. Crow
- SANE POWIC, University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - Anthony C. D. James
- SANE POWIC, University Department of Psychiatry, Warneford Hospital, Oxford, UK
- Highfield Unit, University Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - Amanda E. Lyall
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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4
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Luna LP, Radua J, Fortea L, Sugranyes G, Fortea A, Fusar-Poli P, Smith L, Firth J, Shin JI, Brunoni AR, Husain MI, Husian MO, Sair HI, Mendes WO, Uchoa LRA, Berk M, Maes M, Daskalakis ZJ, Frangou S, Fornaro M, Vieta E, Stubbs B, Solmi M, Carvalho AF. A systematic review and meta-analysis of structural and functional brain alterations in individuals with genetic and clinical high-risk for psychosis and bipolar disorder. Prog Neuropsychopharmacol Biol Psychiatry 2022; 117:110540. [PMID: 35240226 DOI: 10.1016/j.pnpbp.2022.110540] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 02/14/2022] [Accepted: 02/19/2022] [Indexed: 11/20/2022]
Abstract
Neuroimaging findings in people at either genetic risk or at clinical high-risk for psychosis (CHR-P) or bipolar disorder (CHR-B) remain unclear. A meta-analytic review of whole-brain voxel-based morphometry (VBM) and functional magnetic resonance imaging (fMRI) studies in individuals with genetic risk or CHR-P or CHR-B and controls identified 94 datasets (N = 7942). Notwithstanding no significant findings were observed following adjustment for multiple comparisons, several findings were noted at a more liberal threshold. Subjects at genetic risk for schizophrenia or bipolar disorder or at CHR-P exhibited lower gray matter (GM) volumes in the gyrus rectus (Hedges' g = -0.19). Genetic risk for psychosis was associated with GM reductions in the right cerebellum and left amygdala. CHR-P was associated with decreased GM volumes in the frontal superior gyrus and hypoactivation in the right precuneus, the superior frontal gyrus and the right inferior frontal gyrus. Genetic and CHR-P were associated with small structural and functional alterations involving regions implicated in psychosis. Further neuroimaging studies in individuals with genetic or CHR-B are warranted.
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Affiliation(s)
- Licia P Luna
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, Division of Neuroradiology, Postal Mail: 600 N Wolfe Street Phipps B100F, 21287 Baltimore, USA
| | - Joaquim Radua
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Barcelona, Spain; Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Lydia Fortea
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Barcelona, Spain
| | - Gisela Sugranyes
- Multimodal neuroimaging in high risk and early psychosis, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Barcelona, Spain; Department of Child and Adolescent Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic, Barcelona, Spain; Fundació Clínic per a la Recerca Biomèdica (FCRB), Esther Koplowitz Centre, Barcelona, Spain
| | - Adriana Fortea
- Multimodal neuroimaging in high risk and early psychosis, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Barcelona, Spain; Department of Child and Adolescent Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic, Barcelona, Spain; Fundació Clínic per a la Recerca Biomèdica (FCRB), Esther Koplowitz Centre, Barcelona, Spain; University of Barcelona, Barcelona, Spain
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King's College London, London, United Kingdom; OASIS Service, South London and Maudsley National Health Service (NHS) Foundation Trust, London, United Kingdom; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; Maudsley Biomedical Research Centre, National Institute for Health Research, South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Lee Smith
- The Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge, United Kingdom
| | - Joseph Firth
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK; NICM Health Research Institute, Western Sydney University, Westmead, NSW 2145, Australia
| | - Jae Il Shin
- Department of Pediatrics, Yonsei University College of Medicine, Seodaemun-gu, C.P.O., Seoul, Republic of Korea
| | - Andre R Brunoni
- Laboratory of Neurosciences (LIM-27), Department and Institute of Psychiatry, Faculdade de Medicina da Universidade de São Paulo, R Dr Ovidio Pires de Campos 785, 2o andar, São Paulo 05403-000, Brazil; Department of Internal Medicine, Faculdade de Medicina da Universidade de São Paulo & Hospital Universitário, Universidade de São Paulo, Av. Prof Lineu Prestes 2565, São Paulo 05508-000, Brazil
| | - Muhammad I Husain
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
| | - Muhammad O Husian
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Haris I Sair
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, Division of Neuroradiology, Postal Mail: 600 N Wolfe Street Phipps B100F, 21287 Baltimore, USA
| | - Walber O Mendes
- Department of Radiology, Hospital Universitário Walter Cantídio, Postal Mail: 1290 Pastor Samuel Munguba St, Rodolfo Teófilo, 60430-372 Fortaleza, Brazil
| | - Luiz Ricardo A Uchoa
- Department of Radiology, Hospital Geral de Fortaleza, Postal Mail: 900 Ávila Goulart Street, Papicu, Fortaleza 60175-295, Brazil
| | - Michael Berk
- Deakin University, IMPACT Strategic Research Centre, Barwon Health, School of Medicine, Geelong, Victoria, Australia; Deakin University, CMMR Strategic Research Centre, School of Medicine, Geelong, Victoria, Australia; Orygen, The National Centre of Excellence in Youth Mental Health, The Department of Psychiatry, the Florey Institute for Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia
| | - Michael Maes
- Deakin University, IMPACT Strategic Research Centre, Barwon Health, School of Medicine, Geelong, Victoria, Australia; Department of Psychiatry, Chulalongkorn University, Faculty of Medicine, Bangkok, Thailand
| | - Zafiris J Daskalakis
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Sophia Frangou
- Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada; University of Barcelona, Barcelona, Spain; Barcelona Bipolar Disorders and Depressive Unit, Institute of Neurosciences, Hospital Clinic, Barcelona, Spain
| | - Michele Fornaro
- Department of Neuroscience, Reproductive Science and Dentistry, Section of Psychiatr, University School of Medicine Federico II, Naples, Italy
| | - Eduard Vieta
- Bipolar and depressive disorders group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Barcelona, Spain; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Brendon Stubbs
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Marco Solmi
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology & Neuroscience, Department of Psychosis Studies, King's College London, London, United Kingdom; Department of Psychiatry, University of Ottawa, Ontario, Canada.; Department of Mental Health, The Ottawa Hospital, Ontario, Canada.; Ottawa Hospital Research Institute (OHRI), Clinical Epidemiology Program, University of Ottawa, Ottawa Ontario.; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Andre F Carvalho
- IMPACT Strategic Research Centre, Barwon Health, Deakin University School of Medicine, Geelong, Victoria, Australia.
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5
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Xie S, Zhuo J, Song M, Chu C, Cui Y, Chen Y, Wang H, Li L, Jiang T. Tract-specific white matter microstructural alterations in subjects with schizophrenia and unaffected first-degree relatives. Brain Imaging Behav 2022; 16:2110-2119. [PMID: 35732912 DOI: 10.1007/s11682-022-00681-2] [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] [Accepted: 04/26/2022] [Indexed: 11/26/2022]
Abstract
White matter tracts alterations have been reported in schizophrenia (SZ), but whether such abnormalities are associated with the effects of the disorder itself and/or genetic vulnerability remains unclear. Moreover, the specific patterns of different parts of these altered tracts have been less well studied. Thus, diffusion-weighted images were acquired from 38 healthy controls (HCs), 48 schizophrenia patients, and 33 unaffected first-degree relatives of SZs (FDRs). Diffusion properties of the 25 major tracts automatically extracted with probabilistic tractography were calculated and compared among groups. Regarding the peripheral regions of the tracts, significantly higher diffusivity values in the left superior longitudinal fasciculus (SLF) and the left anterior thalamic radiation (ATR) were observed in SZs than in HCs and unaffected FDRs. However, there were no significant differences between HCs and FDRs in these two tracts. While no main effects of group with respect to the core regions of the 25 tracts survived multiple comparisons correction, FDRs had significantly higher diffusivity values in the left medial lemniscus and lower diffusivity values in the middle cerebellar peduncle than HCs and SZs. These findings enhance the understanding of the abnormal patterns in the peripheral and core regions of the tracts in SZs and those at high genetic risk for schizophrenia. Our results suggest that alterations in the peripheral regions of the left SLF and ATR are features of established illness rather than genetic predisposition, which may serve as critical neural substrates for the psychopathology of schizophrenia.
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Affiliation(s)
- Sangma Xie
- Institute of Biomedical Engineering and Instrumentation, School of Automation, Hangzhou Dianzi University, 310018, Hangzhou, China
| | - Junjie Zhuo
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, 570228, Haikou, China
| | - Ming Song
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China
- National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China
- University of Chinese Academy of Sciences, 100190, Beijing, China
| | - Congying Chu
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China
| | - Yue Cui
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China
- National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China
- University of Chinese Academy of Sciences, 100190, Beijing, China
| | - Yunchun Chen
- Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University, 710032, Xi'an, China
| | - Huaning Wang
- Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University, 710032, Xi'an, China
| | - Lihua Li
- Institute of Biomedical Engineering and Instrumentation, School of Automation, Hangzhou Dianzi University, 310018, Hangzhou, China
| | - Tianzi Jiang
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China.
- National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China.
- University of Chinese Academy of Sciences, 100190, Beijing, China.
- CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China.
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6
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Xu M, Zhang W, Hochwalt P, Yang C, Liu N, Qu J, Sun H, DelBello MP, Lui S, Nery FG. Structural connectivity associated with familial risk for mental illness: A meta‐analysis of diffusion tensor imaging studies in relatives of patients with severe mental disorders. Hum Brain Mapp 2022; 43:2936-2950. [PMID: 35285560 PMCID: PMC9120564 DOI: 10.1002/hbm.25827] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 01/23/2022] [Accepted: 02/14/2022] [Indexed: 02/05/2023] Open
Abstract
Schizophrenia (SCZ), bipolar disorder (BD), and major depressive disorder (MDD) are heritable conditions with overlapping genetic liability. Transdiagnostic and disorder‐specific brain changes associated with familial risk for developing these disorders remain poorly understood. We carried out a meta‐analysis of diffusion tensor imaging (DTI) studies to investigate white matter microstructure abnormalities in relatives that might correspond to shared and discrete biomarkers of familial risk for psychotic or mood disorders. A systematic search of PubMed and Embase was performed to identify DTI studies in relatives of SCZ, BD, and MDD patients. Seed‐based d Mapping software was used to investigate global differences in fractional anisotropy (FA) between overall and disorder‐specific relatives and healthy controls (HC). Our search identified 25 studies that met full inclusion criteria. A total of 1,144 relatives and 1,238 HC were included in the meta‐analysis. The overall relatives exhibited decreased FA in the genu and splenium of corpus callosum (CC) compared with HC. This finding was found highly replicable in jack‐knife analysis and subgroup analyses. In disorder‐specific analysis, compared to HC, relatives of SCZ patients exhibited the same changes while those of BD showed reduced FA in the left inferior longitudinal fasciculus (ILF). The present study showed decreased FA in the genu and splenium of CC in relatives of SCZ, BD, and MDD patients, which might represent a shared familial vulnerability marker of severe mental illness. The white matter abnormalities in the left ILF might represent a specific familial risk for bipolar disorder.
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Affiliation(s)
- Mengyuan Xu
- Department of Radiology West China Hospital of Sichuan University Chengdu China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
| | - Wenjing Zhang
- Department of Radiology West China Hospital of Sichuan University Chengdu China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
| | - Paul Hochwalt
- Department of Psychiatry and Behavioral Neuroscience University of Cincinnati College of Medicine Cincinnati Ohio USA
| | - Chengmin Yang
- Department of Radiology West China Hospital of Sichuan University Chengdu China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
| | - Naici Liu
- Department of Radiology West China Hospital of Sichuan University Chengdu China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
| | - Jiao Qu
- Department of Radiology West China Hospital of Sichuan University Chengdu China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
| | - Hui Sun
- Department of Radiology West China Hospital of Sichuan University Chengdu China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
| | - Melissa P. DelBello
- Department of Psychiatry and Behavioral Neuroscience University of Cincinnati College of Medicine Cincinnati Ohio USA
| | - Su Lui
- Department of Radiology West China Hospital of Sichuan University Chengdu China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
| | - Fabiano G. Nery
- Department of Psychiatry and Behavioral Neuroscience University of Cincinnati College of Medicine Cincinnati Ohio USA
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7
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El Nagar Z, El Shahawi HH, Effat SM, El Sheikh MM, Adel A, Ibrahim YA, Aufa OM. Single episode brief psychotic disorder versus bipolar disorder: A diffusion tensor imaging and executive functions study. Schizophr Res Cogn 2022; 27:100214. [PMID: 34557386 PMCID: PMC8446778 DOI: 10.1016/j.scog.2021.100214] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 08/21/2021] [Accepted: 08/23/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Despite fast progress in neuroscientific approaches, the neurobiological continuum links psychotic spectrum, and affective disorder is obscure. White matter WM abnormalities found utilizing Diffusion Tensor Imaging (DTI) showing impaired communication in both disorders have been consistently demonstrated; however, direct comparisons of findings between them are scarce. This study aims to study WM abnormalities in single episode bipolar I disorder, and single episode brief psychotic disorder related to healthy control with the association of executive function. METHODS A cross-sectional case-control study was used to assess 60 subjects divided into 20 patients with single episode bipolar I disorder, 20 individuals with single episode brief psychotic disorder (both groups of patients were in remission), and 20 healthy controls. The present study examined the superior longitudinal fasciculus (SLF), and cingulum bundle fractional anisotropy (FA) determined from DTI images symmetrically and connected these results with cognitive functions as assessed by the trail making test (TMT) and Wisconsin card sorting test (WCST). RESULTS DTI data indicated that the psychotic group had a significant decrease in FA of the right SLF (p-value less than 0.001), left SLF (p-value less than 0.001), and left cingulum (p-value less than 0.001) than the bipolar I group. In terms of executive functioning, the psychotic group performed significantly worse than the bipolar I group on the TMT part B (p-value less than 0.001), the WCST (number of classifications fulfilled) (p-value less than 0.001), and perseverative errors (p-value less than 0.001). CONCLUSION Even after clinical remission, individuals with single episode brief psychotic disorder had more pronounced white matter impairments and executive function deficiencies than individuals with single episode bipolar I disorder.
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Affiliation(s)
- Zeinab El Nagar
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Heba H. El Shahawi
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Safeya M. Effat
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Mona M. El Sheikh
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Ahmed Adel
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Yosra A. Ibrahim
- Radiology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Ola M. Aufa
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
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8
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Nägele FL, Pasternak O, Bitzan LV, Mußmann M, Rauh J, Kubicki M, Leicht G, Shenton ME, Lyall AE, Mulert C. Cellular and extracellular white matter alterations indicate conversion to psychosis among individuals at clinical high-risk for psychosis. World J Biol Psychiatry 2021; 22:214-227. [PMID: 32643526 PMCID: PMC7798359 DOI: 10.1080/15622975.2020.1775890] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
OBJECTIVES It is important to find biomarkers associated with transition to illness in individuals at clinical high-risk for psychosis (CHR). Here, we use free-water imaging, an advanced diffusion MRI technique, to identify white matter alterations in the brains of CHR subjects who subsequently develop psychosis (CHR-P) compared to those who do not (CHR-NP). METHODS Twenty-four healthy controls (HC) and 30 CHR individuals, 8 of whom converted to schizophrenia after a mean follow-up of 15.16 months, received baseline MRI scans. Maps of fractional anisotropy (FA), FA of cellular tissue (FAT), and extracellular free-water (FW) were extracted using tract-based spatial statistics after which voxel-wise non-parametric group statistics and correlations with symptom severity were performed. RESULTS There were no significant differences between HCs and the combined CHR group. However, prior to conversion, CHR-P showed widespread lower FA compared to CHR-NP (pFWE < 0.05). FA changes in CHR-P were associated with significantly lower FAT and higher FW, compared to CHR-NP. Positive symptoms correlated significantly with diffusion parameters in similar regions as those discriminating CHR-P from CHR-NP. CONCLUSIONS Our study suggests that cellular (FAT) and extracellular (FW) white matter alterations are associated with positive symptom severity and indicate an elevated illness risk among CHR individuals.
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Affiliation(s)
- Felix L. Nägele
- Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, University of Hamburg, Hamburg, Germany;,Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Ofer Pasternak
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA;,Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Lisa V. Bitzan
- Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, University of Hamburg, Hamburg, Germany;,Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Marius Mußmann
- Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, University of Hamburg, Hamburg, Germany
| | - Jonas Rauh
- Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, University of Hamburg, Hamburg, Germany
| | - Marek Kubicki
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA;,Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA;,Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Gregor Leicht
- Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, University of Hamburg, Hamburg, Germany
| | - Martha E. Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA;,Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA;,Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA;,VA Boston Healthcare System, Brockton Division, Brockton, MA, USA
| | - Amanda E. Lyall
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA;,Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Christoph Mulert
- Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, University of Hamburg, Hamburg, Germany;,Centre for Psychiatry and Psychotherapy, Justus-Liebig-University, Giessen, Germany
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9
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Tomyshev AS, Lebedeva IS, Kananovich PS, Pomytkin AN, Bazhenova DA, Kaleda VG. Multimodal MRI of Conduction Tracts and Anatomy of the Cerebral Gray Matter in Familial Risk of Affective Disorders and Schizophrenia. Bull Exp Biol Med 2020; 169:614-618. [PMID: 32986216 DOI: 10.1007/s10517-020-04939-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Indexed: 11/27/2022]
Abstract
The present study analyzed diffusion characteristics of white matter tracts and grey matter anatomy in 48 mentally healthy participants, including first-degree relatives of patients with schizophrenia (N=13) and affective spectrum disorders (N=13). The subgroup with familial risk of schizophrenia displayed abnormalities in the structural connectivity and increased cortical thickness in the superior frontal gyrus. No differences in the analyzed characteristics were revealed in the subgroup with familial risk for affective disorders. The results are discussed within the framework of the concepts of endophenotypes and processes reflecting compensatory and protective mechanisms.
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Affiliation(s)
- A S Tomyshev
- Research Center of Mental Health, Moscow, Russia.
| | - I S Lebedeva
- Research Center of Mental Health, Moscow, Russia
| | | | - A N Pomytkin
- Research Center of Mental Health, Moscow, Russia
| | - D A Bazhenova
- Faculty of Fundamental Medicine, M. V. Lomonosov Moscow State University, Moscow, Russia
| | - V G Kaleda
- Research Center of Mental Health, Moscow, Russia
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10
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Koc D, Besenek M, Ulas G, Ildız A, Yılmaz IT, Guleryuz H, Guney SA, Emiroglu NI. Investigation of structure-function correlation among the young offspring of patients with bipolar disorder. Psychiatry Res Neuroimaging 2020; 301:111103. [PMID: 32464339 DOI: 10.1016/j.pscychresns.2020.111103] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 04/11/2020] [Accepted: 04/16/2020] [Indexed: 01/06/2023]
Abstract
Bipolar disorder (BD) has been associated with impaired executive functioning and integrity of fronto-limbic white matter tracts. The evaluation of these factors in young offspring of patients with BD (BDoff) as a high-risk group offers an opportunity to investigate factors that could predict vulnerability to the disorder. This study aims to examine the correlation between neurocognition and neuroimaging findings to evaluate the potential for these findings as biomarkers for the early recognition of BD. We enrolled BDoff (n = 16) who were aged between 12 and 18. Participants were assessed using clinical and neurocognitive tests. In addition, structural brain magnetic resonance and diffusion tensor imaging data were obtained. Mean fractional anisotropy (FA) and mean diffusivity (MD) values of the superior longitudinal fasciculus (SLF) and cingulum were extracted and correlations with neuropsychological data were analyzed. FA values in the SLF were negatively correlated with Stroop interference, the Wisconsin Card Sorting Test, and the Trail Making Test (B-A) scores. MD values in the cingulum were inversely correlated with the Child and Youth Resilience Measure and positively correlated with higher scores on the Barratt Impulsiveness Scale-Attentional. These findings provide a link between features of the brain and cognitive dysfunction in BDoff.
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Affiliation(s)
- Dogukan Koc
- Department of Child and Adolescent Psychiatry, Dokuz Eylul University, Izmir, Turkey..
| | - Mert Besenek
- Department of Child and Adolescent Psychiatry, Dokuz Eylul University, Izmir, Turkey
| | - Gozde Ulas
- Department of Child and Adolescent Psychiatry, Dokuz Eylul University, Izmir, Turkey
| | - Aysegul Ildız
- Department of Neuroscience, Institute of Health Sciences, Dokuz Eylul University, Izmir, Turkey
| | | | - Handan Guleryuz
- Department of Radiodiagnostics, Dokuz Eylul University, Izmir, Turkey
| | - Sevay Alsen Guney
- Department of Child and Adolescent Psychiatry, University of Health Sciences Dr. Behcet Uz Child Disease and Pediatric Surgery Training and Research Hospital, Izmir, Turkey
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11
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Lan MJ, Rubin-Falcone H, Sublette ME, Oquendo MA, Stewart JW, Hellerstein DJ, McGrath PJ, Zanderigo F, Mann JJ. Deficits of white matter axial diffusivity in bipolar disorder relative to major depressive disorder: No relationship to cerebral perfusion or body mass index. Bipolar Disord 2020; 22:296-302. [PMID: 31604361 DOI: 10.1111/bdi.12845] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
OBJECTIVE To compare white matter integrity (WMI) in bipolar disorder (BD) relative to healthy volunteers (HVs) and major depressive disorder (MDD). To determine the relationship of bipolar-specific differences in WMI to cerebral perfusion, body mass index (BMI), and blood pressure as indices of cardiovascular function. METHODS Thirty-two participants with BD, 44 with MDD, and 41 HV were recruited. All BD and MDD participants were in a major depressive episode, and all but 12 BD participants were medication-free. 64-direction diffusion tensor imaging (DTI) and arterial spin labeling (ASL) sequences were obtained. Tract-based spatial statistics (TBSS) on four DTI indices were employed to distinguish patterns of DTI in BD relative to HV and MDD groups. BMI, blood pressure, and medical histories were also obtained for the BD participants. RESULTS A cluster of lower axial diffusivity (AD) was found in BD participants in comparison to the HVs in the left posterior thalamic radiation, superior longitudinal fasciculus, inferior longitudinal fasciculus, fronto-occipital fasciculus, and internal capsule. Mean AD in the significant cluster was not associated with cerebral blood flow (CBF) in the region as measured by ASL, and was not associated with BMI or blood pressure. A cluster of lower AD was also found in the BD group when compared to MDD that had spatial overlap with the HV comparison. CONCLUSIONS The results indicate a deficit of AD in BD when compared to MDD and HV groups. No association between AD values and either cerebral perfusion, BMI, or blood pressure was found in BD.
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Affiliation(s)
- Martin J Lan
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA.,Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, NY, USA
| | - Harry Rubin-Falcone
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA.,Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, NY, USA
| | - M Elizabeth Sublette
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA.,Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, NY, USA
| | - Maria A Oquendo
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jonathan W Stewart
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA.,Depression Evaluation Service, New York State Psychiatric Institute, New York, NY, USA
| | - David J Hellerstein
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA.,Depression Evaluation Service, New York State Psychiatric Institute, New York, NY, USA
| | - Patrick J McGrath
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA.,Depression Evaluation Service, New York State Psychiatric Institute, New York, NY, USA
| | - Francesca Zanderigo
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA.,Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, NY, USA
| | - J John Mann
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA.,Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, NY, USA.,Department of Radiology, Columbia University College of Physicians and Surgeons, New York, NY, USA
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12
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Karlsgodt KH. White Matter Microstructure across the Psychosis Spectrum. Trends Neurosci 2020; 43:406-416. [PMID: 32349908 DOI: 10.1016/j.tins.2020.03.014] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 03/12/2020] [Accepted: 03/30/2020] [Indexed: 12/11/2022]
Abstract
Diffusion-weighted imaging (DWI) is a neuroimaging technique that has allowed us an unprecedented look at the role that white matter microstructure may play in mental illnesses, such as psychosis. Psychosis-related illnesses, including schizophrenia, are increasingly viewed as existing along a spectrum; spectrums may be defined based on factors such as stage of illness, symptom severity, or genetic liability. This review first focuses on an overview of some of the recent findings from DWI studies. Then, it examines the ways in which DWI analyses have been extended across the broader psychosis spectrum, or spectrums, and what we have learned from such approaches.
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Affiliation(s)
- Katherine H Karlsgodt
- Departments of Psychology and Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, 1285 Franz Hall, Box 951563, Los Angeles, CA 90095, USA.
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13
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Bora E. A comparative meta-analysis of neurocognition in first-degree relatives of patients with schizophrenia and bipolar disorder. Eur Psychiatry 2020; 45:121-128. [DOI: 10.1016/j.eurpsy.2017.06.003] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2017] [Revised: 06/12/2017] [Accepted: 06/13/2017] [Indexed: 12/29/2022] Open
Abstract
AbstractObjective:Cognitive impairment is a familial and heritable aspect of major psychoses and might be a shared vulnerability marker for schizophrenia and BP. However, it is not clear whether some aspects of cognitive deficits are uniquely associated with risk for specific diagnoses.Methods:A novel meta-analysis of cognitive functions in first-degree relatives of probands with bipolar disorder (BP-Rel) and schizophrenia (Sch-Rel) was conducted. Current meta-analysis included 20 studies and compared cognitive functions of 1341 Sch-Rel, 939 BP-Rel and 1427 healthy controls.Results:Sch-Rel was associated with cognitive deficits in all domains (d = 0.20–0.58) and BP-Rel underperformed healthy controls in processing speed, verbal fluency and speed based executive function tests (d = 0.33–0.41). Sch-Rel underperformed BP-Rel in general intellectual ability, working memory, verbal memory, planning, processing speed and fluency (d = 0.24–0.42).Conclusions:Inefficiency in processing information and impaired processing speed might be common vulnerability factors for major psychoses. On the other hand, low performance in accuracy based tasks and deficits in general intellectual ability, verbal learning, planning and working memory might be more specifically associated with risk for schizophrenia.
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14
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Lewandowski KE, Du F, Fan X, Chen X, Huynh P, Öngür D. Role of glia in prefrontal white matter abnormalities in first episode psychosis or mania detected by diffusion tensor spectroscopy. Schizophr Res 2019; 209:64-71. [PMID: 31101514 PMCID: PMC6661189 DOI: 10.1016/j.schres.2019.05.018] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 04/08/2019] [Accepted: 05/06/2019] [Indexed: 02/06/2023]
Abstract
BACKGROUND White matter (WM) abnormalities are amongst the most commonly described neuroimaging findings in patients with psychotic disorders including schizophrenia (SZ) and bipolar disorder (BD), and may be central to pathophysiology. Few studies have directly compared WM abnormalities in patients with SZ and BD in the first episode of illness, and no studies to date have attempted to separate abnormalities of axon and myelin using complementary MRI techniques. METHODS We examined WM abnormalities in young adults with SZ (n = 19) or BD (n = 16) within the first year of illness onset, and healthy controls (n = 22) using a combination of diffusion tensor spectroscopy to measure NAA, creatine (Cr), and choline (Cho), and magnetization transfer ratio (MTR). MTR reflects myelin content, NAA diffusion is neuron specific, and Cr and Cho diffusion reflect both neuron and glial signal. RESULTS We found no differences in MTR or NAA ADC in either patient group compared to controls, but significant elevations of both Cr and Cho diffusion in patients with SZ, and elevations of Cho diffusion in patients with BD. Elevations in Cr and Cho diffusion in the absence of NAA diffusion abnormalities indicate that the aberrant signal arises in glia. CONCLUSIONS Glial abnormalities were present and detectable by the first episode of psychosis, whereas major abnormalities in axon and myelin were not. Examination of these neurobiological markers early in the course of illness may clarify the neuroprogressive nature of these distinct aspects of WM, and their associations with early clinical phenotypes.
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Affiliation(s)
- Kathryn E Lewandowski
- McLean Hospital, 115 Mill St., Belmont, MA 02478, United States of America; Harvard Medical School, 25 Shattuck St., Boston, MA 02115, United States of America.
| | - Fei Du
- McLean Hospital, 115 Mill St., Belmont, MA 02478, United States of America; Harvard Medical School, 25 Shattuck St., Boston, MA 02115, United States of America
| | - Xiaoying Fan
- McLean Hospital, 115 Mill St., Belmont, MA 02478, United States of America; Harvard Medical School, 25 Shattuck St., Boston, MA 02115, United States of America
| | - Xi Chen
- McLean Hospital, 115 Mill St., Belmont, MA 02478, United States of America; Harvard Medical School, 25 Shattuck St., Boston, MA 02115, United States of America
| | - Polly Huynh
- McLean Hospital, 115 Mill St., Belmont, MA 02478, United States of America
| | - Dost Öngür
- McLean Hospital, 115 Mill St., Belmont, MA 02478, United States of America; Harvard Medical School, 25 Shattuck St., Boston, MA 02115, United States of America
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15
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Roberts G, Perry A, Lord A, Frankland A, Leung V, Holmes-Preston E, Levy F, Lenroot RK, Mitchell PB, Breakspear M. Structural dysconnectivity of key cognitive and emotional hubs in young people at high genetic risk for bipolar disorder. Mol Psychiatry 2018; 23:413-421. [PMID: 27994220 PMCID: PMC5794888 DOI: 10.1038/mp.2016.216] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Revised: 09/30/2016] [Accepted: 10/04/2016] [Indexed: 01/01/2023]
Abstract
Emerging evidence suggests that psychiatric disorders are associated with disturbances in structural brain networks. Little is known, however, about brain networks in those at high risk (HR) of bipolar disorder (BD), with such disturbances carrying substantial predictive and etiological value. Whole-brain tractography was performed on diffusion-weighted images acquired from 84 unaffected HR individuals with at least one first-degree relative with BD, 38 young patients with BD and 96 matched controls (CNs) with no family history of mental illness. We studied structural connectivity differences between these groups, with a focus on highly connected hubs and networks involving emotional centres. HR participants showed lower structural connectivity in two lateralised sub-networks centred on bilateral inferior frontal gyri and left insular cortex, as well as increased connectivity in a right lateralised limbic sub-network compared with CN subjects. BD was associated with weaker connectivity in a small right-sided sub-network involving connections between fronto-temporal and temporal areas. Although these sub-networks preferentially involved structural hubs, the integrity of the highly connected structural backbone was preserved in both groups. Weaker structural brain networks involving key emotional centres occur in young people at genetic risk of BD and those with established BD. In contrast to other psychiatric disorders such as schizophrenia, the structural core of the brain remains intact, despite the local involvement of network hubs. These results add to our understanding of the neurobiological correlates of BD and provide predictions for outcomes in young people at high genetic risk for BD.
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Affiliation(s)
- G Roberts
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia,Black Dog Institute, Prince of Wales Hospital, Randwick, NSW, Australia
| | - A Perry
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia,Program of Mental Health Research, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia,Metro North Mental Health Service, Brisbane, QLD, Australia,Centre for Healthy Brain Ageing, Randwick, NSW, Australia
| | - A Lord
- Program of Mental Health Research, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - A Frankland
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia,Black Dog Institute, Prince of Wales Hospital, Randwick, NSW, Australia
| | - V Leung
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia,Black Dog Institute, Prince of Wales Hospital, Randwick, NSW, Australia
| | - E Holmes-Preston
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia,Black Dog Institute, Prince of Wales Hospital, Randwick, NSW, Australia
| | - F Levy
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia,Prince of Wales Hospital, Randwick, NSW, Australia
| | - R K Lenroot
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia,Neuroscience Research Australia, Randwick, NSW, Australia
| | - P B Mitchell
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia,Black Dog Institute, Prince of Wales Hospital, Randwick, NSW, Australia,Prince of Wales Hospital, Randwick, NSW, Australia
| | - M Breakspear
- Program of Mental Health Research, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia,Metro North Mental Health Service, Brisbane, QLD, Australia,Systems Neuroscience Group, QIMR Berghofer Institute of Medical Research, 300 Herston Road, Herston, QLD, Australia. E-mail:
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16
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Fullerton JM, Klauser P, Lenroot RK, Shaw AD, Overs B, Heath A, Cairns MJ, Atkins J, Scott R, Schofield PR, Weickert CS, Pantelis C, Fornito A, Whitford TJ, Weickert TW, Zalesky A. Differential effect of disease-associated ST8SIA2 haplotype on cerebral white matter diffusion properties in schizophrenia and healthy controls. Transl Psychiatry 2018; 8:21. [PMID: 29353880 PMCID: PMC5802561 DOI: 10.1038/s41398-017-0052-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Accepted: 09/23/2017] [Indexed: 11/09/2022] Open
Abstract
Brain white matter abnormalities are evident in individuals with schizophrenia, and also their first-degree relatives, suggesting that some alterations may relate to underlying genetic risk. The ST8 alpha-N-acetyl-neuraminide alpha-2,8-sialyltransferase 2 (ST8SIA2) gene, which encodes the alpha-2,8-sialyltransferase 8B enzyme that aids neuronal migration and synaptic plasticity, was previously implicated as a schizophrenia susceptibility gene. This study examined the extent to which specific haplotypes in ST8SIA2 influence white matter microstructure using diffusion-weighted imaging of individuals with schizophrenia (n = 281) and healthy controls (n = 172), recruited across five Australian sites. Interactions between diagnostic status and the number of haplotype copies (0 or ≥1) were tested across all white matter voxels with cluster-based statistics. Fractional anisotropy (FA) in the right parietal lobe was found to show a significant interaction between diagnosis and ST8SIA2 protective haplotype (p < 0.05, family-wise error rate (FWER) cluster-corrected). The protective haplotype was associated with increased FA in controls, but this effect was reversed in people with schizophrenia. White matter fiber tracking revealed that the region-of-interest was traversed by portions of the superior longitudinal fasciculus, corona radiata, and posterior limb of internal capsule. Post hoc analysis revealed that reduced FA in this regional juncture correlated with reduced IQ in people with schizophrenia. The ST8SIA2 risk haplotype copy number did not show any differential effects on white matter. This study provides a link between a common disease-associated haplotype and specific changes in white matter microstructure, which may relate to resilience or risk for mental illness, providing further compelling evidence for involvement of ST8SIA2 in the pathophysiology of schizophrenia.
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Affiliation(s)
- Janice M. Fullerton
- 0000 0000 8900 8842grid.250407.4Neuroscience Research Australia, Randwick, Sydney, NSW Australia ,0000 0004 4902 0432grid.1005.4School of Medical Sciences, Faculty of Medicine, University of New South Wales, Sydney, NSW Australia ,0000 0000 8696 2171grid.419558.4Schizophrenia Research Institute, Sydney, NSW Australia
| | - Paul Klauser
- 0000 0004 1936 7857grid.1002.3Brain and Mental Health Laboratory, Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences and Monash Biomedical Imaging, Monash University, Clayton, VIC Australia ,0000 0001 2179 088Xgrid.1008.9Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Carlton South, VIC Australia
| | - Rhoshel K. Lenroot
- 0000 0000 8900 8842grid.250407.4Neuroscience Research Australia, Randwick, Sydney, NSW Australia ,0000 0000 8696 2171grid.419558.4Schizophrenia Research Institute, Sydney, NSW Australia ,0000 0004 4902 0432grid.1005.4School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW Australia
| | - Alex D. Shaw
- 0000 0000 8900 8842grid.250407.4Neuroscience Research Australia, Randwick, Sydney, NSW Australia ,0000 0000 8696 2171grid.419558.4Schizophrenia Research Institute, Sydney, NSW Australia
| | - Bronwyn Overs
- 0000 0000 8900 8842grid.250407.4Neuroscience Research Australia, Randwick, Sydney, NSW Australia
| | - Anna Heath
- 0000 0000 8900 8842grid.250407.4Neuroscience Research Australia, Randwick, Sydney, NSW Australia
| | - Murray J. Cairns
- 0000 0000 8696 2171grid.419558.4Schizophrenia Research Institute, Sydney, NSW Australia ,0000 0000 8831 109Xgrid.266842.cSchool of Biomedical Sciences, University of Newcastle, Newcastle, NSW Australia
| | - Joshua Atkins
- 0000 0000 8831 109Xgrid.266842.cSchool of Biomedical Sciences, University of Newcastle, Newcastle, NSW Australia
| | - Rodney Scott
- 0000 0000 8696 2171grid.419558.4Schizophrenia Research Institute, Sydney, NSW Australia ,0000 0000 8831 109Xgrid.266842.cSchool of Biomedical Sciences, University of Newcastle, Newcastle, NSW Australia
| | | | - Peter R. Schofield
- 0000 0000 8900 8842grid.250407.4Neuroscience Research Australia, Randwick, Sydney, NSW Australia ,0000 0004 4902 0432grid.1005.4School of Medical Sciences, Faculty of Medicine, University of New South Wales, Sydney, NSW Australia ,0000 0000 8696 2171grid.419558.4Schizophrenia Research Institute, Sydney, NSW Australia
| | - Cyndi Shannon Weickert
- 0000 0000 8900 8842grid.250407.4Neuroscience Research Australia, Randwick, Sydney, NSW Australia ,0000 0000 8696 2171grid.419558.4Schizophrenia Research Institute, Sydney, NSW Australia ,0000 0004 4902 0432grid.1005.4School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW Australia
| | - Christos Pantelis
- 0000 0001 2179 088Xgrid.1008.9Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Carlton South, VIC Australia
| | - Alex Fornito
- 0000 0004 1936 7857grid.1002.3Brain and Mental Health Laboratory, Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences and Monash Biomedical Imaging, Monash University, Clayton, VIC Australia
| | - Thomas J. Whitford
- 0000 0004 4902 0432grid.1005.4School of Psychology, Faculty of Science, University of New South Wales, Sydney, NSW Australia
| | - Thomas W. Weickert
- 0000 0000 8900 8842grid.250407.4Neuroscience Research Australia, Randwick, Sydney, NSW Australia ,0000 0000 8696 2171grid.419558.4Schizophrenia Research Institute, Sydney, NSW Australia ,0000 0004 4902 0432grid.1005.4School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW Australia
| | - Andrew Zalesky
- 0000 0001 2179 088Xgrid.1008.9Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Carlton South, VIC Australia
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17
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Tamnes CK, Roalf DR, Goddings AL, Lebel C. Diffusion MRI of white matter microstructure development in childhood and adolescence: Methods, challenges and progress. Dev Cogn Neurosci 2017; 33:161-175. [PMID: 29229299 PMCID: PMC6969268 DOI: 10.1016/j.dcn.2017.12.002] [Citation(s) in RCA: 101] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Revised: 05/18/2017] [Accepted: 12/04/2017] [Indexed: 12/13/2022] Open
Abstract
Diffusion magnetic resonance imaging (dMRI) continues to grow in popularity as a useful neuroimaging method to study brain development, and longitudinal studies that track the same individuals over time are emerging. Over the last decade, seminal work using dMRI has provided new insights into the development of brain white matter (WM) microstructure, connections and networks throughout childhood and adolescence. This review provides an introduction to dMRI, both diffusion tensor imaging (DTI) and other dMRI models, as well as common acquisition and analysis approaches. We highlight the difficulties associated with ascribing these imaging measurements and their changes over time to specific underlying cellular and molecular events. We also discuss selected methodological challenges that are of particular relevance for studies of development, including critical choices related to image acquisition, image analysis, quality control assessment, and the within-subject and longitudinal reliability of dMRI measurements. Next, we review the exciting progress in the characterization and understanding of brain development that has resulted from dMRI studies in childhood and adolescence, including brief overviews and discussions of studies focusing on sex and individual differences. Finally, we outline future directions that will be beneficial to the field.
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Affiliation(s)
| | - David R Roalf
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Catherine Lebel
- Department of Radiology, Cumming School of Medicine, and Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
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18
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Nenadić I, Hoof A, Dietzek M, Langbein K, Reichenbach JR, Sauer H, Güllmar D. Diffusion tensor imaging of cingulum bundle and corpus callosum in schizophrenia vs. bipolar disorder. Psychiatry Res Neuroimaging 2017; 266:96-100. [PMID: 28644999 DOI: 10.1016/j.pscychresns.2017.05.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Revised: 05/21/2017] [Accepted: 05/23/2017] [Indexed: 01/09/2023]
Abstract
Both schizophrenia and bipolar disorder show abnormalities of white matter, as seen in diffusion tensor imaging (DTI) analyses of major brain fibre bundles. While studies in each of the two conditions have indicated possible overlap in anatomical location, there are few direct comparisons between the disorders. Also, it is unclear whether phenotypically similar subgroups (e.g. patients with bipolar disorder and psychotic features) might share white matter pathologies or be rather similar. Using region-of-interest (ROI) analysis of white matter with diffusion tensor imaging (DTI) at 3 T, we analysed fractional anisotropy (FA), radial diffusivity (RD), and apparent diffusion coefficient (ADC) of the corpus callosum and cingulum bundle in 33 schizophrenia patients, 17 euthymic (previously psychotic) bipolar disorder patients, and 36 healthy controls. ANOVA analysis showed significant main effects of group for RD and ADC (both elevated in schizophrenia). Across the corpus callosum ROIs, there was not group effect on FA, but for RD (elevated in schizophrenia, lower in bipolar disorder) and ADC (higher in schizophrenia, intermediate in bipolar disorder). Our findings show similarities and difference (some gradual) across regions of the two major fibre tracts implicated in these disorders, which would be consistent with a neurobiological overlap of similar clinical phenotypes.
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Affiliation(s)
- Igor Nenadić
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Department of Psychiatry and Psychotherapy, Philipps University Marburg & Marburg University Hospital / UKGM, Marburg, Germany.
| | - Anna Hoof
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Maren Dietzek
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Kerstin Langbein
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Jürgen R Reichenbach
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology (IDIR), Jena University Hospital, Jena, Germany
| | - Heinrich Sauer
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Daniel Güllmar
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology (IDIR), Jena University Hospital, Jena, Germany
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19
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Yahata N, Kasai K, Kawato M. Computational neuroscience approach to biomarkers and treatments for mental disorders. Psychiatry Clin Neurosci 2017; 71:215-237. [PMID: 28032396 DOI: 10.1111/pcn.12502] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Revised: 12/19/2016] [Accepted: 12/25/2016] [Indexed: 01/21/2023]
Abstract
Psychiatry research has long experienced a stagnation stemming from a lack of understanding of the neurobiological underpinnings of phenomenologically defined mental disorders. Recently, the application of computational neuroscience to psychiatry research has shown great promise in establishing a link between phenomenological and pathophysiological aspects of mental disorders, thereby recasting current nosology in more biologically meaningful dimensions. In this review, we highlight recent investigations into computational neuroscience that have undertaken either theory- or data-driven approaches to quantitatively delineate the mechanisms of mental disorders. The theory-driven approach, including reinforcement learning models, plays an integrative role in this process by enabling correspondence between behavior and disorder-specific alterations at multiple levels of brain organization, ranging from molecules to cells to circuits. Previous studies have explicated a plethora of defining symptoms of mental disorders, including anhedonia, inattention, and poor executive function. The data-driven approach, on the other hand, is an emerging field in computational neuroscience seeking to identify disorder-specific features among high-dimensional big data. Remarkably, various machine-learning techniques have been applied to neuroimaging data, and the extracted disorder-specific features have been used for automatic case-control classification. For many disorders, the reported accuracies have reached 90% or more. However, we note that rigorous tests on independent cohorts are critically required to translate this research into clinical applications. Finally, we discuss the utility of the disorder-specific features found by the data-driven approach to psychiatric therapies, including neurofeedback. Such developments will allow simultaneous diagnosis and treatment of mental disorders using neuroimaging, thereby establishing 'theranostics' for the first time in clinical psychiatry.
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Affiliation(s)
- Noriaki Yahata
- Department of Youth Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan.,ATR Brain Information Communication Research Laboratory Group, Kyoto, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Mitsuo Kawato
- ATR Brain Information Communication Research Laboratory Group, Kyoto, Japan
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20
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Chen YS, Chen MH, Lu CH, Chen PC, Chen HL, Yang IH, Tsai NW, Lin WC. Associations among Cognitive Functions, Plasma DNA, and White Matter Integrity in Patients with Early-Onset Parkinson's Disease. Front Neurosci 2017; 11:9. [PMID: 28174514 PMCID: PMC5258716 DOI: 10.3389/fnins.2017.00009] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2016] [Accepted: 01/04/2017] [Indexed: 12/22/2022] Open
Abstract
Early-onset Parkinson's disease (EOPD) patients are symptomatic at a relatively young age, and the impacts of the disease on both the patients and their caregivers are dramatic. Few studies have reported on the cognitive impairments seen in EOPD, and the results of these studies have been diverse. Furthermore, it is still unclear what microstructural white matter (WM) changes are present in EOPD patients. As such, we conducted this study to investigate the microstructural WM changes experienced by EOPD patients and their association with cognitive function and plasma DNA levels. We enrolled 24 EOPD patients and 33 sex- and age-matched healthy volunteers who underwent complete neuro-psychological testing (NPT) to evaluate their cognitive function and diffusion tensor imaging (DTI) scanning to determine their fiber integrity. The plasma DNA measurements included measurements of nuclear and mitochondrial DNA levels. Fractional anisotropy (FA) maps were compared using voxel-based statistics to determine differences between the two groups. The differences in DTI indices and NPT scores were correlated after adjusting for age, sex, and education. Our results demonstrate that patients with EOPD have elevated nuclear DNA levels and wide spectrums of impairments in NPT, especially in the executive function and visuospatial function domains. Exploratory group-wise comparisons of the DTI indices revealed that the patients with EOPD exhibited lower DTI parameters in several brain locations. These poorer DTI parameters were associated with worse cognitive performances and elevated plasma nuclear DNA levels, especially in the anterior thalamic radiation region. Our findings suggest that the thalamus and its adjacent anterior thalamic radiation may be important in the pathogenesis of EOPD, as they appear to become involved in the disease process at an early stage.
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Affiliation(s)
- Yueh-Sheng Chen
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine Kaohsiung, Taiwan
| | - Meng-Hsiang Chen
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine Kaohsiung, Taiwan
| | - Cheng-Hsien Lu
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of MedicineKaohsiung, Taiwan; Department of Biological Science, National Sun Yat-Sen UniversityKaohsiung, Taiwan
| | - Pei-Chin Chen
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine Kaohsiung, Taiwan
| | - Hsiu-Ling Chen
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of MedicineKaohsiung, Taiwan; Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming UniversityTaipei, Taiwan
| | - I-Hsiao Yang
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine Kaohsiung, Taiwan
| | - Nai-Wen Tsai
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine Kaohsiung, Taiwan
| | - Wei-Che Lin
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine Kaohsiung, Taiwan
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21
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Domen P, Peeters S, Michielse S, Gronenschild E, Viechtbauer W, Roebroeck A, Os JV, Marcelis M. Differential Time Course of Microstructural White Matter in Patients With Psychotic Disorder and Individuals at Risk: A 3-Year Follow-up Study. Schizophr Bull 2017; 43:160-170. [PMID: 27190279 PMCID: PMC5216846 DOI: 10.1093/schbul/sbw061] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
BACKGROUND Although widespread reduced white matter (WM) integrity is a consistent finding in cross-sectional diffusion tensor imaging (DTI) studies of schizophrenia, little is known about the course of these alterations. This study examined to what degree microstructural WM alterations display differential trajectories over time as a function of level of psychosis liability. METHODS Two DTI scans with a 3-year time interval were acquired from 159 participants (55 patients with a psychotic disorder, 55 nonpsychotic siblings and 49 healthy controls) and processed with tract-based spatial statistics. The mean fractional anisotropy (FA) change over time was calculated. Main effects of group, as well as group × region interactions in the model of FA change were examined with multilevel (mixed-effects) models. RESULTS Siblings revealed a significant mean FA decrease over time compared to controls (B = -0.004, P = .04), resulting in a significant sibling-control difference at follow-up (B = -0.007, P = .03). Patients did not show a significant change over time, but their mean FA was lower than controls both at baseline and at follow-up. A significant group × region interaction (χ2 = 105.4, P = .01) revealed group differences in FA change in the right cingulum, left posterior thalamic radiation, right retrolenticular part of the internal capsule, and the right posterior corona radiata. CONCLUSION Whole brain mean FA remained stable over a 3-year period in patients with psychotic disorder and declined over time in nonaffected siblings, so that at follow-up both groups had lower FA with respect to controls. The results suggest that liability for psychosis may involve a process of WM alterations.
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Affiliation(s)
- Patrick Domen
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands;
| | - Sanne Peeters
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
- Faculty of Psychology and Educational Sciences, Open University of the Netherlands, Heerlen, The Netherlands
| | - Stijn Michielse
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Ed Gronenschild
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Wolfgang Viechtbauer
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Alard Roebroeck
- Department of Cognitive Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Jim van Os
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
- King's College London, King's Health Partners, Department of Psychosis Studies, Institute of Psychiatry, London, UK
| | - Machteld Marcelis
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
- Institute for Mental Health Care Eindhoven (GGzE), Eindhoven, The Netherlands
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22
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Grazioplene RG, Chavez RS, Rustichini A, DeYoung CG. White matter correlates of psychosis-linked traits support continuity between personality and psychopathology. JOURNAL OF ABNORMAL PSYCHOLOGY 2016; 125:1135-1145. [PMID: 27819473 PMCID: PMC5117638 DOI: 10.1037/abn0000176] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The link between diagnoses of psychotic disorders and attenuated white matter connectivity is well established, but little is known about the degree to which similar white matter differences predict traits linked to psychosis-proneness in the general population. Moreover, intelligence is too rarely considered as a covariate in neural endophenotype studies, despite its known protective role against psychopathology in general and its associations with broad aspects of neural structure and function. To determine whether psychosis-linked personality traits are linearly associated with white matter microstructure, we examined white matter correlates of Psychoticism, Absorption, and Openness to Experience in a large community sample, covarying for sex, age, and IQ. Findings support our hypothesis that the white matter correlates of the shared variance of these traits overlap substantially with the frontal lobe white matter connectivity patterns characteristic of psychotic spectrum disorders. These findings provide biological support for the notion that liability to psychosis is distributed throughout the population, is evident in brain structure, and manifests as normal personality variation at subclinical levels. (PsycINFO Database Record
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23
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Özerdem A, Ceylan D, Can G. Neurobiology of Risk for Bipolar Disorder. CURRENT TREATMENT OPTIONS IN PSYCHIATRY 2016; 3:315-329. [PMID: 27867834 PMCID: PMC5093194 DOI: 10.1007/s40501-016-0093-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Bipolar disorder (BD) is a chronic mental illness which follows a relapsing and remitting course and requires lifetime treatment. The lack of biological markers for BD is a major difficulty in clinical practice. Exploring multiple endophenotypes to fit in multivariate genetic models for BD is an important element in the process of finding tools to facilitate early diagnosis, early intervention, prevention of new episodes, and follow-up of treatment response in BD. Reviewing of studies on neuroimaging, neurocognition, and biochemical parameters in populations with high genetic risk for the illness can yield an integrative perspective on the neurobiology of risk for BD. The most up-to-date data reveals consistent deficits in executive function, response inhibition, verbal memory/learning, verbal fluency, and processing speed in risk groups for BD. Functional magnetic resonance imaging (fMRI) studies report alterations in the activity of the inferior frontal gyrus, medial prefrontal cortex, and limbic areas, particularly in the amygdala in unaffected first-degree relatives (FDR) of BD compared to healthy controls. Risk groups for BD also present altered immune and neurochemical modulation. Despite inconsistencies, accumulating data reveals cognitive and imaging markers for risk and to a less extent resilience of BD. Findings on neural modulation markers are preliminary and require further studies. Although the knowledge on the neurobiology of risk for BD has been inadequate to provide benefits for clinical practice, further studies on structural and functional changes in the brain, neurocognitive functioning, and neurochemical modulation have a potential to reveal biomarkers for risk and resilience for BD. Multimodal, multicenter, population-based studies with large sample size allowing for homogeneous subgroup analyses will immensely contribute to the elucidation of biological markers for risk for BD in an integrative model.
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Affiliation(s)
- Ayşegül Özerdem
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylül University, Izmir, Turkey
- Department of Neuroscience, Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey
| | - Deniz Ceylan
- Department of Neuroscience, Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey
- Department of Psychiatry, Gümüşhane State Hospital, Gümüşhane, Turkey
| | - Güneş Can
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylül University, Izmir, Turkey
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24
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Koivukangas J, Björnholm L, Tervonen O, Miettunen J, Nordström T, Kiviniemi V, Mäki P, Mukkala S, Moilanen I, Barnett JH, Jones PB, Nikkinen J, Veijola J. Body mass index and brain white matter structure in young adults at risk for psychosis - The Oulu Brain and Mind Study. Psychiatry Res Neuroimaging 2016; 254:169-176. [PMID: 27474847 DOI: 10.1016/j.pscychresns.2016.06.016] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2015] [Revised: 05/09/2016] [Accepted: 06/30/2016] [Indexed: 11/28/2022]
Abstract
Antipsychotic medications and psychotic illness related factors may affect both weight and brain structure in people with psychosis. Genetically high-risk individuals offer an opportunity to study the relationship between body mass index (BMI) and brain structure free from these potential confounds. We examined the effect of BMI on white matter (WM) microstructure in subjects with familial risk for psychosis (FR). We used diffusion tensor imaging and tract-based spatial statistics to explore the effect of BMI on whole brain FA in 42 (13 males) participants with FR and 46 (16 males) control participants aged 20-25 years drawn from general population-based Northern Finland Birth Cohort 1986. We also measured axial, radial and mean diffusivities. Most of the participants were normal weight rather than obese. In the FR group, decrease in fractional anisotropy and increase in radial diffusivity were associated with an increase in BMI in several brain areas. In controls the opposite pattern was seen in participants with higher BMI. There was a statistically significant interaction between group and BMI on FA and radial and mean diffusivities. Our results suggest that the effect of BMI on WM differs between individuals with FR for psychosis and controls.
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Affiliation(s)
- Jenni Koivukangas
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Oulu, Finland; Aurora Doctoral Program, University of Oulu, Oulu, Finland.
| | - Lassi Björnholm
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Oulu, Finland; Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland
| | - Osmo Tervonen
- Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland; Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland
| | - Jouko Miettunen
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Oulu, Finland; Department of Psychiatry, Oulu University Hospital, Oulu, Finland; Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland; Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Tanja Nordström
- Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland; Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Vesa Kiviniemi
- Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland; Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland; Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Pirjo Mäki
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Oulu, Finland; Department of Psychiatry, Oulu University Hospital, Oulu, Finland; Department of Psychiatry, Länsi-Pohja Healthcare District, Finland; Department of Psychiatry, Middle Ostrobothnia Central Hospital, Kiuru, Finland; Mental Health Services, Joint Municipal Authority of Wellbeing in Raahe District, Finland; Mental Health Services, Basic Health Care District of Kallio, Finland; Visala Hospital, Northern Ostrobothnia Hospital District, Finland
| | - Sari Mukkala
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Oulu, Finland; Department of Psychiatry, Oulu University Hospital, Oulu, Finland
| | - Irma Moilanen
- Aurora Doctoral Program, University of Oulu, Oulu, Finland; Clinic of Child Psychiatry, Oulu University Hospital, Oulu, Finland; PEDEGO Research Center, and Medical Research Center Oulu, University of Oulu, Finland
| | - Jennifer H Barnett
- Department of Psychiatry, University of Cambridge, Cambridge, UK; Cambridge Cognition, Cambridge, UK
| | - Peter B Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Juha Nikkinen
- Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland; Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland; Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland; Department of Oncology and Radiotherapy, Oulu University Hospital, Oulu, Finland
| | - Juha Veijola
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Oulu, Finland; Aurora Doctoral Program, University of Oulu, Oulu, Finland; Department of Psychiatry, Oulu University Hospital, Oulu, Finland
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25
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Sarıçiçek A, Zorlu N, Yalın N, Hıdıroğlu C, Çavuşoğlu B, Ceylan D, Ada E, Tunca Z, Özerdem A. Abnormal white matter integrity as a structural endophenotype for bipolar disorder. Psychol Med 2016; 46:1547-1558. [PMID: 26947335 DOI: 10.1017/s0033291716000180] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Several lines of evidence suggest that bipolar disorder (BD) is associated with white matter (WM) pathology. Investigation of unaffected first-degree relatives of BD patients may help to distinguish structural biomarkers of genetic risk without the confounding effects of burden of illness, medication or clinical state. In the present study, we applied tract-based spatial statistics to study WM changes in patients with BD, unaffected siblings and controls. METHOD A total of 27 euthymic patients with BD type I, 20 unaffected siblings of bipolar patients and 29 healthy controls who did not have any current or past diagnosis of Axis I psychiatric disorders were enrolled in the study. RESULTS Fractional anisotropy (FA) was significantly lower in BD patients than in the control group in the corpus callosum, fornix, bilateral superior longitudinal fasciculus, inferior longitudinal fasciculus, inferior fronto-occipital fasciculus, anterior thalamic radiation, posterior thalamic radiation, cingulum, uncinate fasciculus, superior corona radiata, anterior corona radiata and left external capsule. In region-of-interest (ROI) analyses, we found that both unaffected siblings and bipolar patients had significantly reduced FA in the left posterior thalamic radiation, the left sagittal stratum, and the fornix compared with healthy controls. Average FA for unaffected siblings was intermediate between the healthy controls and bipolar patients within these ROIs. CONCLUSIONS Decreased FA in the fornix, left posterior thalamic radiation and left sagittal stratum in both bipolar patients and unaffected siblings may represent a potential structural endophenotype or a trait-based marker for BD.
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Affiliation(s)
- A Sarıçiçek
- Department of Psychiatry,Faculty of Medicine,Izmir Katip Celebi University,Ataturk Training and Research Hospital,Izmir,Turkey
| | - N Zorlu
- Department of Psychiatry,Faculty of Medicine,Izmir Katip Celebi University,Ataturk Training and Research Hospital,Izmir,Turkey
| | - N Yalın
- Department of Neuroscience,Health Sciences Institute,Dokuz Eylul University,Izmir,Turkey
| | - C Hıdıroğlu
- Department of Neuroscience,Health Sciences Institute,Dokuz Eylul University,Izmir,Turkey
| | - B Çavuşoğlu
- Department of Neuroscience,Health Sciences Institute,Dokuz Eylul University,Izmir,Turkey
| | - D Ceylan
- Department of Neuroscience,Health Sciences Institute,Dokuz Eylul University,Izmir,Turkey
| | - E Ada
- Department of Radiology,Faculty of Medicine,Dokuz Eylul University,Izmir,Turkey
| | - Z Tunca
- Department of Neuroscience,Health Sciences Institute,Dokuz Eylul University,Izmir,Turkey
| | - A Özerdem
- Department of Neuroscience,Health Sciences Institute,Dokuz Eylul University,Izmir,Turkey
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26
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Nery FG, Gigante AD, Amaral JA, Fernandes FBF, Berutti M, Almeida KM, Carneiro CDG, Duran FLS, Otaduy MG, Leite CC, Busatto G, Lafer B. Gray matter volumes in patients with bipolar disorder and their first-degree relatives. Psychiatry Res 2015; 234:188-93. [PMID: 26459073 DOI: 10.1016/j.pscychresns.2015.09.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2015] [Revised: 07/24/2015] [Accepted: 09/01/2015] [Indexed: 01/15/2023]
Abstract
Bipolar disorder (BD) is highly heritable. First-degree relatives of BD patient have an increased risk to develop the disease. We investigated abnormalities in gray matter (GM) volumes in healthy first-degree relatives of BD patients to identify possible brain structural endophenotypes for the disorder. 3D T1-weighted magnetic resonance images were obtained from 25 DSM-IV BD type I patients, 23 unaffected relatives, and 27 healthy controls (HC). A voxel-based morphometry protocol was used to compare differences in GM volumes between groups. BD patients presented reduced GM volumes bilaterally in the thalamus compared with HC. Relatives presented no global or regional GM differences compared with HC. Our negative results do not support the role of GM volume abnormalities as endophenotypes for BD. Thalamic volume abnormalities may be associated the pathophysiology of the disease.
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Affiliation(s)
- Fabiano G Nery
- Bipolar Disorder Program, Department of Psychiatry, University of Sao Paulo Medical School, Sao Paulo, SP, Brazil; Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
| | - Alexandre Duarte Gigante
- Bipolar Disorder Program, Department of Psychiatry, University of Sao Paulo Medical School, Sao Paulo, SP, Brazil
| | - Jose A Amaral
- Bipolar Disorder Program, Department of Psychiatry, University of Sao Paulo Medical School, Sao Paulo, SP, Brazil
| | - Francy B F Fernandes
- Bipolar Disorder Program, Department of Psychiatry, University of Sao Paulo Medical School, Sao Paulo, SP, Brazil
| | - Mariangeles Berutti
- Bipolar Disorder Program, Department of Psychiatry, University of Sao Paulo Medical School, Sao Paulo, SP, Brazil
| | - Karla M Almeida
- Bipolar Disorder Program, Department of Psychiatry, University of Sao Paulo Medical School, Sao Paulo, SP, Brazil
| | - Camila de Godoi Carneiro
- Laboratory of Neuroimage in Psychiatry (LIM 21), Research in Applied Neuroscience, Support Core of the University of Sao Paulo (NAPNA-USP), Brazil
| | - Fabio Luis Souza Duran
- Laboratory of Neuroimage in Psychiatry (LIM 21), Research in Applied Neuroscience, Support Core of the University of Sao Paulo (NAPNA-USP), Brazil
| | - Maria G Otaduy
- Laboratory of Neuroradiology (LIM 44), Department of Radiology and Oncology, University of Sao Paulo Medical School, Sao Paulo, SP, Brazil
| | - Claudia Costa Leite
- Laboratory of Neuroradiology (LIM 44), Department of Radiology and Oncology, University of Sao Paulo Medical School, Sao Paulo, SP, Brazil
| | - Geraldo Busatto
- Laboratory of Neuroimage in Psychiatry (LIM 21), Research in Applied Neuroscience, Support Core of the University of Sao Paulo (NAPNA-USP), Brazil
| | - Beny Lafer
- Bipolar Disorder Program, Department of Psychiatry, University of Sao Paulo Medical School, Sao Paulo, SP, Brazil
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