51
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Kothapalli SV, Benzinger TL, Aschenbrenner AJ, Perrin RJ, Hildebolt CF, Goyal MS, Fagan AM, Raichle ME, Morris JC, Yablonskiy DA. Quantitative Gradient Echo MRI Identifies Dark Matter as a New Imaging Biomarker of Neurodegeneration that Precedes Tisssue Atrophy in Early Alzheimer's Disease. J Alzheimers Dis 2022; 85:905-924. [PMID: 34897083 PMCID: PMC8842777 DOI: 10.3233/jad-210503] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/27/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND Currently, brain tissue atrophy serves as an in vivo MRI biomarker of neurodegeneration in Alzheimer's disease (AD). However, postmortem histopathological studies show that neuronal loss in AD exceeds volumetric loss of tissue and that loss of memory in AD begins when neurons and synapses are lost. Therefore, in vivo detection of neuronal loss prior to detectable atrophy in MRI is essential for early AD diagnosis. OBJECTIVE To apply a recently developed quantitative Gradient Recalled Echo (qGRE) MRI technique for in vivo evaluation of neuronal loss in human hippocampus. METHODS Seventy participants were recruited from the Knight Alzheimer Disease Research Center, representing three groups: Healthy controls [Clinical Dementia Rating® (CDR®) = 0, amyloid β (Aβ)-negative, n = 34]; Preclinical AD (CDR = 0, Aβ-positive, n = 19); and mild AD (CDR = 0.5 or 1, Aβ-positive, n = 17). RESULTS In hippocampal tissue, qGRE identified two types of regions: one, practically devoid of neurons, we designate as "Dark Matter", and the other, with relatively preserved neurons, "Viable Tissue". Data showed a greater loss of neurons than defined by atrophy in the mild AD group compared with the healthy control group; neuronal loss ranged between 31% and 43%, while volume loss ranged only between 10% and 19%. The concept of Dark Matter was confirmed with histopathological study of one participant who underwent in vivo qGRE 14 months prior to expiration. CONCLUSION In vivo qGRE method identifies neuronal loss that is associated with impaired AD-related cognition but is not recognized by MRI measurements of tissue atrophy, therefore providing new biomarkers for early AD detection.
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Affiliation(s)
| | - Tammie L. Benzinger
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA
| | - Andrew J. Aschenbrenner
- Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Richard J. Perrin
- Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Pathology and Immunology, Washington University in St. Louis, St. Louis, MO, USA
- The Hope Center for Neurological Disorders, Washington University in St. Louis, St. Louis, MO, USA
| | | | - Manu S. Goyal
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Anne M. Fagan
- Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- The Hope Center for Neurological Disorders, Washington University in St. Louis, St. Louis, MO, USA
| | - Marcus E. Raichle
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- The Hope Center for Neurological Disorders, Washington University in St. Louis, St. Louis, MO, USA
| | - John C. Morris
- Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Dmitriy A. Yablonskiy
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA
- The Hope Center for Neurological Disorders, Washington University in St. Louis, St. Louis, MO, USA
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Song Y, Yang J, Chang M, Wei Y, Yin Z, Zhu Y, Zhou Y, Zhou Y, Jiang X, Wu F, Kong L, Xu K, Wang F, Tang Y. Shared and distinct functional connectivity of hippocampal subregions in schizophrenia, bipolar disorder, and major depressive disorder. Front Psychiatry 2022; 13:993356. [PMID: 36186868 PMCID: PMC9515660 DOI: 10.3389/fpsyt.2022.993356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 08/19/2022] [Indexed: 11/13/2022] Open
Abstract
Schizophrenia (SZ), bipolar disorder (BD), and major depressive disorder (MDD) share etiological and pathophysiological characteristics. Although neuroimaging studies have reported hippocampal alterations in SZ, BD, and MDD, little is known about how different hippocampal subregions are affected in these conditions because such subregions, namely, the cornu ammonis (CA), dentate gyrus (DG), and subiculum (SUB), have different structural foundations and perform different functions. Here, we hypothesize that different hippocampal subregions may reflect some intrinsic features among the major psychiatric disorders, such as SZ, BD, and MDD. By investigating resting functional connectivity (FC) of each hippocampal subregion among 117 SZ, 103 BD, 96 MDD, and 159 healthy controls, we found similarly and distinctly changed FC of hippocampal subregions in the three disorders. The abnormal functions of middle frontal gyrus might be the core feature of the psychopathological mechanisms of SZ, BD, and MDD. Anterior cingulate cortex and inferior orbital frontal gyrus might be the shared abnormalities of SZ and BD, and inferior orbital frontal gyrus is also positively correlated with depression and anxiety symptoms in SZ and BD. Caudate might be the unique feature of SZ and showed a positive correlation with the cognitive function in SZ. Middle temporal gyrus and supplemental motor area are the differentiating features of BD. Our study provides evidence for the different functions of different hippocampal subregions in psychiatric pathology.
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Affiliation(s)
- Yanzhuo Song
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China
| | - Jingyu Yang
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China.,Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Miao Chang
- Department of Radiology, First Hospital of China Medical University, Shenyang, China
| | - Yange Wei
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China.,Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Zhiyang Yin
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China
| | - Yue Zhu
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China
| | - Yuning Zhou
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China
| | - Yifang Zhou
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China
| | - Xiaowei Jiang
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China.,Department of Radiology, First Hospital of China Medical University, Shenyang, China
| | - Feng Wu
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China
| | - Lingtao Kong
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China
| | - Ke Xu
- Department of Radiology, First Hospital of China Medical University, Shenyang, China
| | - Fei Wang
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China.,Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Yanqing Tang
- Department of Psychiatry, First Hospital of China Medical University, Shenyang, China
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53
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Gurholt TP, Lonning V, Nerland S, Jørgensen KN, Haukvik UK, Alloza C, Arango C, Barth C, Bearden CE, Berk M, Bohman H, Dandash O, Díaz‐Caneja CM, Edbom CT, van Erp TGM, Fett AJ, Frangou S, Goldstein BI, Grigorian A, Jahanshad N, James AC, Janssen J, Johannessen C, Karlsgodt KH, Kempton MJ, Kochunov P, Krabbendam L, Kyriakopoulos M, Lundberg M, MacIntosh BJ, Rund BR, Smelror RE, Sultan A, Tamnes CK, Thomopoulos SI, Vajdi A, Wedervang‐Resell K, Myhre AM, Andreassen OA, Thompson PM, Agartz I. Intracranial and subcortical volumes in adolescents with early-onset psychosis: A multisite mega-analysis from the ENIGMA consortium. Hum Brain Mapp 2022; 43:373-384. [PMID: 33017498 PMCID: PMC8675418 DOI: 10.1002/hbm.25212] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 09/11/2020] [Accepted: 09/13/2020] [Indexed: 12/27/2022] Open
Abstract
Early-onset psychosis disorders are serious mental disorders arising before the age of 18 years. Here, we investigate the largest neuroimaging dataset, to date, of patients with early-onset psychosis and healthy controls for differences in intracranial and subcortical brain volumes. The sample included 263 patients with early-onset psychosis (mean age: 16.4 ± 1.4 years, mean illness duration: 1.5 ± 1.4 years, 39.2% female) and 359 healthy controls (mean age: 15.9 ± 1.7 years, 45.4% female) with magnetic resonance imaging data, pooled from 11 clinical cohorts. Patients were diagnosed with early-onset schizophrenia (n = 183), affective psychosis (n = 39), or other psychotic disorders (n = 41). We used linear mixed-effects models to investigate differences in intracranial and subcortical volumes across the patient sample, diagnostic subgroup and antipsychotic medication, relative to controls. We observed significantly lower intracranial (Cohen's d = -0.39) and hippocampal (d = -0.25) volumes, and higher caudate (d = 0.25) and pallidum (d = 0.24) volumes in patients relative to controls. Intracranial volume was lower in both early-onset schizophrenia (d = -0.34) and affective psychosis (d = -0.42), and early-onset schizophrenia showed lower hippocampal (d = -0.24) and higher pallidum (d = 0.29) volumes. Patients who were currently treated with antipsychotic medication (n = 193) had significantly lower intracranial volume (d = -0.42). The findings demonstrate a similar pattern of brain alterations in early-onset psychosis as previously reported in adult psychosis, but with notably low intracranial volume. The low intracranial volume suggests disrupted neurodevelopment in adolescent early-onset psychosis.
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Affiliation(s)
- Tiril P. Gurholt
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University HospitalOsloNorway
- Norwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
| | - Vera Lonning
- Norwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
| | - Stener Nerland
- Norwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
| | - Kjetil N. Jørgensen
- Norwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
| | - Unn K. Haukvik
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University HospitalOsloNorway
- Department of Adult Mental Health, Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Clara Alloza
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental HealthHospital General Universitario Gregorio Marañón, IiSGM, CIBERSAMMadridSpain
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental HealthHospital General Universitario Gregorio Marañón, IiSGM, CIBERSAMMadridSpain
- School of MedicineUniversidad ComplutenseMadridSpain
| | - Claudia Barth
- Norwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Carrie E. Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human BehaviorUCLALos AngelesCaliforniaUSA
- Department of PsychologyUCLALos AngelesCaliforniaUSA
| | - Michael Berk
- IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin UniversityGeelongVictoriaAustralia
- Orygen Youth Health Research CenterThe Florey Institute for Neuroscience and Department of PsychiatryParkvilleVictoriaAustralia
| | - Hannes Bohman
- Center for Psychiatry Research, Department of Clinical NeuroscienceKarolinska Institutet and Stockholm Health Care Services, Stockholm Region, Stockholm, SwedenStockholmSweden
- Department of Neuroscience, Child and Adolescent PsychiatryUppsala UniversityUppsalaSweden
- Department of Clinical Science and Education SödersjukhusetKarolinska InstitutetStockholmSweden
| | - Orwa Dandash
- IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin UniversityGeelongVictoriaAustralia
| | - Covadonga M. Díaz‐Caneja
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental HealthHospital General Universitario Gregorio Marañón, IiSGM, CIBERSAMMadridSpain
- School of MedicineUniversidad ComplutenseMadridSpain
| | - Carl T. Edbom
- Center for Psychiatry Research, Department of Clinical NeuroscienceKarolinska Institutet and Stockholm Health Care Services, Stockholm Region, Stockholm, SwedenStockholmSweden
| | - Theo G. M. van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human BehaviorUniversity of California IrvineIrvineCaliforniaUSA
- Center for the Neurobiology of LearningUniversity of California Irvine and MemoryIrvineCaliforniaUSA
| | - Anne‐Kathrin J. Fett
- Department of PsychologyCity, University of LondonLondonUK
- Department of Psychosis StudiesIoPPNLondonUK
- Department of Clinical, Neuro and Developmental PsychologyVU AmsterdamAmsterdamNetherlands
| | - Sophia Frangou
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Benjamin I. Goldstein
- Center for Youth Bipolar Disorder, Sunnybrook Health Science CenterTorontoOntarioCanada
- Department of Psychiatry and PharmacologyUniversity of TorontoCanada
| | - Anahit Grigorian
- Center for Youth Bipolar Disorder, Sunnybrook Health Science CenterTorontoOntarioCanada
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Anthony C. James
- Department of PsychiatryUniversity of OxfordOxfordUK
- Oxford Health Foundation NHS TrustOxfordUK
| | - Joost Janssen
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental HealthHospital General Universitario Gregorio Marañón, IiSGM, CIBERSAMMadridSpain
- School of MedicineUniversidad ComplutenseMadridSpain
| | - Cecilie Johannessen
- Norwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Katherine H. Karlsgodt
- Department of PsychologyUCLALos AngelesCaliforniaUSA
- Department Psychiatry and Biobehavioral SciencesUCLALos AngelesCaliforniaUSA
| | | | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of PsychiatryUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | - Lydia Krabbendam
- Department of Clinical, Neuro and Developmental PsychologyVU AmsterdamAmsterdamNetherlands
| | - Marinos Kyriakopoulos
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology, and NeuroscienceKing's College LondonLondonUK
- National and Specialist Children's Inpatient Unit (Acorn Lodge), South London and Maudsley NHS Foundation TrustBeckenhamUK
| | - Mathias Lundberg
- Center for Psychiatry Research, Department of Clinical NeuroscienceKarolinska Institutet and Stockholm Health Care Services, Stockholm Region, Stockholm, SwedenStockholmSweden
- Department of Neuroscience, Child and Adolescent PsychiatryUppsala UniversityUppsalaSweden
- Department of Clinical Science and Education SödersjukhusetKarolinska InstitutetStockholmSweden
- The Department of Clinical Science and EducationKI SÖSStockholmSweden
| | - Bradley J. MacIntosh
- Hurvitz Brain Sciences, Sunnybrook Research InstituteTorontoOntarioCanada
- Department of Medical BiophysicsUniversity of TorontoOntarioCanada
| | - Bjørn Rishovd Rund
- Department of PsychologyUniversity of OsloOsloNorway
- Department of ResearchVestre Viken Hospital TrustDrammenNorway
| | - Runar E. Smelror
- Norwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
| | - Alysha Sultan
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
- Department of PharmacologyUniversity of TorontoTorontoOntarioCanada
| | - Christian K. Tamnes
- Norwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- PROMENTA Research Center, Department of PsychologyUniversity of OsloOsloNorway
| | | | - Ariana Vajdi
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human BehaviorUCLALos AngelesCaliforniaUSA
| | - Kirsten Wedervang‐Resell
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University HospitalOsloNorway
| | - Anne M. Myhre
- Child and Adolescent Psychiatry Unit, Division of Mental Health and Addiction, Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of Psychiatric Research and Development, Division of Mental Health and AddictionOslo University HospitalOsloNorway
| | - Ole A. Andreassen
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University HospitalOsloNorway
- Norwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Paul M. Thompson
- Department of Psychiatry and PharmacologyUniversity of TorontoCanada
| | - Ingrid Agartz
- Norwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- Center for Psychiatry Research, Department of Clinical NeuroscienceKarolinska Institutet and Stockholm Health Care Services, Stockholm Region, Stockholm, SwedenStockholmSweden
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Murphy F, Nasa A, Cullinane D, Raajakesary K, Gazzaz A, Sooknarine V, Haines M, Roman E, Kelly L, O'Neill A, Cannon M, Roddy DW. Childhood Trauma, the HPA Axis and Psychiatric Illnesses: A Targeted Literature Synthesis. Front Psychiatry 2022; 13:748372. [PMID: 35599780 PMCID: PMC9120425 DOI: 10.3389/fpsyt.2022.748372] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 04/07/2022] [Indexed: 11/13/2022] Open
Abstract
Studies of early life stress (ELS) demonstrate the long-lasting effects of acute and chronic stress on developmental trajectories. Such experiences can become biologically consolidated, creating individual vulnerability to psychological and psychiatric issues later in life. The hippocampus, amygdala, and the medial prefrontal cortex are all important limbic structures involved in the processes that undermine mental health. Hyperarousal of the sympathetic nervous system with sustained allostatic load along the Hypothalamic Pituitary Adrenal (HPA) axis and its connections has been theorized as the basis for adult psychopathology following early childhood trauma. In this review we synthesize current understandings and hypotheses concerning the neurobiological link between childhood trauma, the HPA axis, and adult psychiatric illness. We examine the mechanisms at play in the brain of the developing child and discuss how adverse environmental stimuli may become biologically incorporated into the structure and function of the adult brain via a discussion of the neurosequential model of development, sensitive periods and plasticity. The HPA connections and brain areas implicated in ELS and psychopathology are also explored. In a targeted review of HPA activation in mood and psychotic disorders, cortisol is generally elevated across mood and psychotic disorders. However, in bipolar disorder and psychosis patients with previous early life stress, blunted cortisol responses are found to awakening, psychological stressors and physiological manipulation compared to patients without previous early life stress. These attenuated responses occur in bipolar and psychosis patients on a background of increased cortisol turnover. Although cortisol measures are generally raised in depression, the evidence for a different HPA activation profile in those with early life stress is inconclusive. Further research is needed to explore the stress responses commonalities between bipolar disorder and psychosis in those patients with early life stress.
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Affiliation(s)
- Felim Murphy
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Anurag Nasa
- Department of Psychiatry, Trinity College Institute for Neuroscience, Trinity College Dublin, Dublin, Ireland
| | | | - Kesidha Raajakesary
- Department of Psychiatry, Trinity College Institute for Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Areej Gazzaz
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Vitallia Sooknarine
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Madeline Haines
- Department of Psychiatry, Trinity College Institute for Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Elena Roman
- Department of Psychiatry, Trinity College Institute for Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Linda Kelly
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Aisling O'Neill
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Mary Cannon
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Darren William Roddy
- Department of Psychiatry, Trinity College Institute for Neuroscience, Trinity College Dublin, Dublin, Ireland
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55
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Lavigne KM, Kanagasabai K, Palaniyappan L. Ultra-high field neuroimaging in psychosis: A narrative review. Front Psychiatry 2022; 13:994372. [PMID: 36506432 PMCID: PMC9730890 DOI: 10.3389/fpsyt.2022.994372] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 11/08/2022] [Indexed: 11/27/2022] Open
Abstract
Schizophrenia and related psychoses are complex neuropsychiatric diseases representing dysconnectivity across multiple scales, through the micro (cellular), meso (brain network), manifest (behavioral), and social (interpersonal) levels. In vivo human neuroimaging, particularly at ultra-high field (UHF), offers unprecedented opportunity to examine multiscale dysconnectivity in psychosis. In this review, we provide an overview of the literature to date on UHF in psychosis, focusing on microscale findings from magnetic resonance spectroscopy (MRS), mesoscale studies on structural and functional magnetic resonance imaging (fMRI), and multiscale studies assessing multiple neuroimaging modalities and relating UHF findings to behavior. We highlight key insights and considerations from multiscale and longitudinal studies and provide recommendations for future research on UHF neuroimaging in psychosis.
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Affiliation(s)
- Katie M Lavigne
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.,Montreal Neurological Institute-Hospital, McGill University, Montreal, QC, Canada.,Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Kesavi Kanagasabai
- Robarts Research Institute, Western University, London, ON, Canada.,Department of Medical Biophysics, Western University, London, ON, Canada
| | - Lena Palaniyappan
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.,Department of Psychiatry, McGill University, Montreal, QC, Canada.,Robarts Research Institute, Western University, London, ON, Canada.,Department of Medical Biophysics, Western University, London, ON, Canada
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56
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Lunsford-Avery JR, Damme KSF, Vargas T, Sweitzer MM, Mittal VA. Psychotic-Like Experiences Associated with Sleep Disturbance and Brain Volumes in Youth: Findings from the Adolescent Brain Cognitive Development Study. JCPP ADVANCES 2021; 1:e12055. [PMID: 36339462 PMCID: PMC9635573 DOI: 10.1002/jcv2.12055] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
Background Sleep disturbance is characteristic of schizophrenia and at-risk populations, suggesting a possible etiological role in psychosis. Biological mechanisms underlying associations between sleep and psychosis vulnerability are unclear, although reduced sleep-regulatory brain structure volumes are a proposed contributor. This study is the first to examine relationships between psychotic-like experiences (PLEs; subclinical symptoms reflecting psychosis vulnerability/risk), sleep, and brain volumes in youth. Methods Brain volumes of five sleep-related structures were examined in relation to PLEs and difficulties initiating and maintaining sleep (DIMS) in 9260 9-11 year-olds participating in the Adolescent Brain Cognitive Development (ABCD) study. Analytic models examined relationships between DIMS, PLEs, and brain volumes, as well as DIMS as a mediator of brain volume-PLEs relationships. Although sleep regulation structures (i.e., thalamus, basal forebrain, hypothalamus) were of primary interest, other potentially-relevant structures to sleep-related functioning and psychosis (i.e., hippocampus, amygdala) were also examined. Results PLEs were associated with increased DIMS as well as reduced volume in some, but not all, brain structures, including the thalamus and basal forebrain in children. DIMS was also associated with reduced left thalamus volume in youth. Increased DIMS partially, statistically mediated the relationship between left thalamic volume and PLEs, although the effect was relatively small. Conclusions Results highlight left thalamic volume as a potential neural mechanism underlying sleep disturbances and PLEs in childhood. Future studies should assess causal relationships between sleep, PLEs, and brain structure across adolescent development, interactions with other psychosis risk factors, and the role of sleep interventions in prevention of psychosis and a range of psychiatric conditions across the lifespan.
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Affiliation(s)
- Jessica R. Lunsford-Avery
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Katherine S. F. Damme
- Department of Psychology, Northwestern University, Evanston, IL, USA,Institute for Innovations in Developmental Sciences, Northwestern University, Evanston and Chicago, IL, USA
| | - Teresa Vargas
- Department of Psychology, Northwestern University, Evanston, IL, USA,Institute for Innovations in Developmental Sciences, Northwestern University, Evanston and Chicago, IL, USA
| | - Maggie M. Sweitzer
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Vijay A. Mittal
- Department of Psychology, Northwestern University, Evanston, IL, USA,Institute for Innovations in Developmental Sciences, Northwestern University, Evanston and Chicago, IL, USA,Department of Psychiatry, Northwestern University, Chicago, IL USA,Medical Social Sciences, Northwestern University, Chicago, IL, USA,Institute for Policy Research (IPR), Northwestern University, Chicago, IL, USA
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57
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Argyelan M, Lencz T, Kang S, Ali S, Masi PJ, Moyett E, Joanlanne A, Watson P, Sanghani S, Petrides G, Malhotra AK. ECT-induced cognitive side effects are associated with hippocampal enlargement. Transl Psychiatry 2021; 11:516. [PMID: 34625534 PMCID: PMC8501017 DOI: 10.1038/s41398-021-01641-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 08/16/2021] [Accepted: 09/09/2021] [Indexed: 02/08/2023] Open
Abstract
Electroconvulsive therapy (ECT) is of the most effective treatments available for treatment-resistant depression, yet it is underutilized in part due to its reputation of causing cognitive side effects in a significant number of patients. Despite intensive neuroimaging research on ECT in the past two decades, the underlying neurobiological correlates of cognitive side effects remain elusive. Because the primary ECT-related cognitive deficit is memory impairment, it has been suggested that the hippocampus may play a crucial role. In the current study, we investigated 29 subjects with longitudinal MRI and detailed neuropsychological testing in two independent cohorts (N = 15/14) to test if volume changes were associated with cognitive side effects. The two cohorts underwent somewhat different ECT study protocols reflected in electrode placements and the number of treatments. We used longitudinal freesurfer algorithms (6.0) to obtain a bias-free estimate of volume changes in the hippocampus and tested its relationship with neurocognitive score changes. As an exploratory analysis and to evaluate how specific the effects were to the hippocampus, we also calculated this relationship in 41 other areas. In addition, we also analyzed cognitive data from a group of healthy volunteers (N = 29) to assess practice effects. Our results supported the hypothesis that hippocampus enlargement was associated with worse cognitive outcomes, and this result was generalizable across two independent cohorts with different diagnoses, different electrode placements, and a different number of ECT sessions. We found, in both cohorts, that treatment robustly increased the volume size of the hippocampus (Cohort 1: t = 5.07, Cohort 2: t = 4.82; p < 0.001), and the volume increase correlated with the neurocognitive T-score change. (Cohort 1: r = -0.68, p = 0.005; Cohort 2: r = -0.58; p = 0.04). Overall, our research indicates that novel treatment methods serving to avoid hippocampal volume increase may result in a better side effect profile.
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Affiliation(s)
- Miklos Argyelan
- Psychiatry Research, The Zucker Hillside Hospital, Glen Cove, NY, USA.
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA.
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.
| | - Todd Lencz
- Psychiatry Research, The Zucker Hillside Hospital, Glen Cove, NY, USA
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Simran Kang
- Psychiatry Research, The Zucker Hillside Hospital, Glen Cove, NY, USA
| | - Sana Ali
- Psychiatry Research, The Zucker Hillside Hospital, Glen Cove, NY, USA
| | - Paul J Masi
- Psychiatry Research, The Zucker Hillside Hospital, Glen Cove, NY, USA
| | - Emily Moyett
- Psychiatry Research, The Zucker Hillside Hospital, Glen Cove, NY, USA
| | - Andrea Joanlanne
- Psychiatry Research, The Zucker Hillside Hospital, Glen Cove, NY, USA
| | - Philip Watson
- Psychiatry Research, The Zucker Hillside Hospital, Glen Cove, NY, USA
| | - Sohag Sanghani
- Psychiatry Research, The Zucker Hillside Hospital, Glen Cove, NY, USA
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Georgios Petrides
- Psychiatry Research, The Zucker Hillside Hospital, Glen Cove, NY, USA
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Anil K Malhotra
- Psychiatry Research, The Zucker Hillside Hospital, Glen Cove, NY, USA
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
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Ohi K, Nemoto K, Kataoka Y, Sugiyama S, Muto Y, Shioiri T, Kawasaki Y. Alterations in hippocampal subfield volumes among schizophrenia patients, their first-degree relatives and healthy subjects. Prog Neuropsychopharmacol Biol Psychiatry 2021; 110:110291. [PMID: 33662534 DOI: 10.1016/j.pnpbp.2021.110291] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 02/01/2021] [Accepted: 02/23/2021] [Indexed: 01/04/2023]
Abstract
Reduced hippocampal volumes feature prominently in schizophrenia patients (SCZ). Although several studies have investigated hippocampal volume alterations between unaffected first-degree relatives (FR) of SCZ and healthy controls (HC), the results were inconsistent. Furthermore, it remains unclear whether FR have specific alterations in hippocampal subfield volumes. Three-Tesla T1-weighted MP-RAGE brain scans were collected from 347 subjects (138 SCZ, 47 FR and 162 HC) and processed using the hippocampal subfields algorithm in FreeSurfer v6.0. We investigated volumetric differences in the twelve hippocampal subfields bilaterally among SCZ, FR and HC. SCZ displayed bilateral reductions in whole hippocampal volume compared with FR and HC. The hippocampal volumes of FR did not differ from those of HC but exceeded those observed in SCZ. We found volumetric differences in specific hippocampal subfields, including the CA1, hippocampal fissure, presubiculum, molecular layer, fimbria and hippocampal-amygdala transitional area, among diagnostic groups. These alterations arose from differences in the hippocampal subfield volumes between SCZ and the other two diagnostic groups. However, right hippocampal fissure volumes linearly increased among the groups. In contrast, no significant volumetric differences were found in other hippocampal subfields between HC and FR. There were no significant intergroup differences in laterality in any hippocampal subfield volumes and no significant correlations between hippocampal subfield volumes and illness duration, psychiatric symptoms, antipsychotics or premorbid IQ in SCZ. Our findings suggest that volumetric alterations in hippocampal subfields (except the hippocampal fissure) in SCZ could be stable phenomena that are present at illness onset and minimally affected by antipsychotics.
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Affiliation(s)
- Kazutaka Ohi
- Department of Psychiatry and Psychotherapy, Gifu University Graduate School of Medicine, Gifu, Japan; Department of General Internal Medicine, Kanazawa Medical University, Ishikawa, Japan.
| | - Kiyotaka Nemoto
- Department of Neuropsychiatry, Institute of Clinical Medicine, University of Tsukuba, Ibaraki, Japan
| | - Yuzuru Kataoka
- Department of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan
| | - Shunsuke Sugiyama
- Department of Psychiatry and Psychotherapy, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Yukimasa Muto
- Department of Psychiatry and Psychotherapy, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Toshiki Shioiri
- Department of Psychiatry and Psychotherapy, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Yasuhiro Kawasaki
- Department of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan
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Weis CN, Webb EK, Huggins AA, Kallenbach M, Miskovich TA, Fitzgerald JM, Bennett KP, Krukowski JL, deRoon-Cassini TA, Larson CL. Stability of hippocampal subfield volumes after trauma and relationship to development of PTSD symptoms. Neuroimage 2021; 236:118076. [PMID: 33878374 PMCID: PMC8284190 DOI: 10.1016/j.neuroimage.2021.118076] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 03/01/2021] [Accepted: 04/08/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND The hippocampus plays a central role in post-traumatic stress disorder (PTSD) pathogenesis, and the majority of neuroimaging research on PTSD has studied the hippocampus in its entirety. Although extensive literature demonstrates changes in hippocampal volume are associated with PTSD, fewer studies have probed the relationship between symptoms and the hippocampus' functionally and structurally distinct subfields. We utilized data from a longitudinal study examining post-trauma outcomes to determine whether hippocampal subfield volumes change post-trauma and whether specific subfields are significantly associated with, or prospectively related to, PTSD symptom severity. As a secondary aim, we leveraged our unique study design sample to also investigate reliability of hippocampal subfield volumes using both cross-sectional and longitudinal pipelines available in FreeSurfer v6.0. METHODS Two-hundred and fifteen traumatically injured individuals were recruited from an urban Emergency Department. Two-weeks post-injury, participants underwent two consecutive days of neuroimaging (time 1: T1, and time 2: T2) with magnetic resonance imaging (MRI) and completed self-report assessments. Six-months later (time 3: T3), participants underwent an additional scan and were administered a structured interview assessing PTSD symptoms. First, we calculated reliability of hippocampal measurements at T1 and T2 (automatically segmented with FreeSurfer v6.0). We then examined the prospective (T1 subfields) and cross-sectional (T3 subfields) relationship between volumes and PTSD. Finally, we tested whether change in subfield volumes between T1 and T3 explained PTSD symptom variability. RESULTS After controlling for sex, age, and total brain volume, none of the subfield volumes (T1) were prospectively related to T3 PTSD symptoms nor were subfield volumes (T3) associated with current PTSD symptoms (T3). Tl - T2 reliability of all hippocampal subfields ranged from good to excellent (intraclass correlation coefficient (ICC) values > 0.83), with poorer reliability in the hippocampal fissure. CONCLUSION Our study was a novel examination of the prospective relationship between hippocampal subfield volumes in relation to PTSD in a large trauma-exposed urban sample. There was no significant relationship between subfield volumes and PTSD symptoms, however, we confirmed FreeSurfer v6.0 hippocampal subfield segmentation is reliable when applied to a traumatically-injured sample, using both cross-sectional and longitudinal analysis pipelines. Although hippocampal subfield volumes may be an important marker of individual variability in PTSD, findings are likely conditional on the timing of the measurements (e.g. acute or chronic post-trauma periods) and analysis strategy (e.g. cross-sectional or prospective).
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Affiliation(s)
- C N Weis
- University of Wisconsin Milwaukee, Psychology, Department of Psychology, 334 Garland Hall, 2441 E. Hartford Ave, Milwaukee, WI 53211, United States.
| | - E K Webb
- University of Wisconsin Milwaukee, Psychology, Department of Psychology, 334 Garland Hall, 2441 E. Hartford Ave, Milwaukee, WI 53211, United States
| | - A A Huggins
- University of Wisconsin Milwaukee, Psychology, Department of Psychology, 334 Garland Hall, 2441 E. Hartford Ave, Milwaukee, WI 53211, United States
| | - M Kallenbach
- University of Wisconsin Milwaukee, Psychology, Department of Psychology, 334 Garland Hall, 2441 E. Hartford Ave, Milwaukee, WI 53211, United States
| | - T A Miskovich
- University of Wisconsin Milwaukee, Psychology, Department of Psychology, 334 Garland Hall, 2441 E. Hartford Ave, Milwaukee, WI 53211, United States
| | - J M Fitzgerald
- University of Wisconsin Milwaukee, Psychology, Department of Psychology, 334 Garland Hall, 2441 E. Hartford Ave, Milwaukee, WI 53211, United States
| | - K P Bennett
- University of Wisconsin Milwaukee, Psychology, Department of Psychology, 334 Garland Hall, 2441 E. Hartford Ave, Milwaukee, WI 53211, United States
| | - J L Krukowski
- University of Wisconsin Milwaukee, Psychology, Department of Psychology, 334 Garland Hall, 2441 E. Hartford Ave, Milwaukee, WI 53211, United States
| | - T A deRoon-Cassini
- University of Wisconsin Milwaukee, Psychology, Department of Psychology, 334 Garland Hall, 2441 E. Hartford Ave, Milwaukee, WI 53211, United States
| | - C L Larson
- University of Wisconsin Milwaukee, Psychology, Department of Psychology, 334 Garland Hall, 2441 E. Hartford Ave, Milwaukee, WI 53211, United States
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60
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Andreou D, Jørgensen KN, Nerland S, Engen K, Yolken RH, Andreassen OA, Agartz I. Cytomegalovirus infection associated with smaller dentate gyrus in men with severe mental illness. Brain Behav Immun 2021; 96:54-62. [PMID: 34010712 DOI: 10.1016/j.bbi.2021.05.009] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 04/05/2021] [Accepted: 05/14/2021] [Indexed: 10/21/2022] Open
Abstract
Cytomegalovirus (CMV) infection is usually inapparent in healthy adults but persists for life. Neural progenitor/stem cells are main CMV targets, and dentate gyrus (DG) a major neurogenic niche. Smaller DG volume has been repeatedly reported in severe mental illness (SMI). Considering the suggested immune system, blood-brain barrier and DG disturbances in SMI, we hypothesized that CMV exposure is associated with smaller DG volume in patients, but not healthy controls (HC). Due to the differential male and female immune response to CMV, we hypothesized sex-dependent associations. 381 adult patients with SMI (schizophrenia spectrum or bipolar spectrum disorders) and 396 HC were included. MRI scans were obtained with 1.5T Siemens MAGNETOM Sonata scanner or 3T General Electric Signa HDxt scanner, and processed with FreeSurfer v6.0. CMV immunoglobulin G antibody concentrations were measured by solid phase immunoassay. We investigated main and interaction effects of CMV status (antibody positivity/CMV + vs. negativity/CMV-) and sex on DG in patients and HC. Among patients, there was a significant CMV-by-sex interaction on DG (p = 0.009); CMV + male patients had significantly smaller DG volume than CMV- male patients (p = 0.001, 39 mm3 volume difference) whereas no CMV-DG association was found in female patients. Post-hoc analysis among male patients showed that the CMV-DG association was present in both hemispheres and in both patients with schizophrenia spectrum and bipolar spectrum disorders, and further, that higher CMV antibody titers were associated with smaller DG. No CMV-DG association was found in HC. The results indicate a DG vulnerability to CMV infection in men with SMI.
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Affiliation(s)
- Dimitrios Andreou
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden.
| | - Kjetil Nordbø Jørgensen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Stener Nerland
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Kristine Engen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Robert H Yolken
- Stanley Division of Developmental Neurovirology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
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61
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Evermann U, Gaser C, Meller T, Pfarr JK, Grezellschak S, Nenadić I. Nonclinical psychotic-like experiences and schizotypy dimensions: Associations with hippocampal subfield and amygdala volumes. Hum Brain Mapp 2021; 42:5075-5088. [PMID: 34302409 PMCID: PMC8449098 DOI: 10.1002/hbm.25601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 07/09/2021] [Accepted: 07/12/2021] [Indexed: 12/02/2022] Open
Abstract
Schizotypy and psychotic‐like experiences (PLE) form part of the wider psychosis continuum and may have brain structural correlates in nonclinical cohorts. This study aimed to compare the effects of differential schizotypy dimensions, PLE, and their interaction on hippocampal subfields and amygdala volumes in the absence of clinical psychopathology. In a cohort of 367 psychiatrically healthy individuals, we assessed schizotypal traits using the Oxford‐Liverpool Inventory of Life Experiences (O‐LIFE) and PLE using the short form of the Prodromal Questionnaire (PQ‐16). Based on high‐resolution structural MRI scans, we used automated segmentation to estimate volumes of limbic structures. Sex and total intracranial volume (Step 1), PLE and schizotypy dimensions (Step 2), and their interaction terms (Step 3) were entered as regressors for bilateral amygdala and hippocampal subfield volumes in hierarchical multiple linear regression models. Positive schizotypy, but not PLE, was negatively associated with left amygdala and subiculum volumes. O‐LIFE Impulsive Nonconformity, as well as the two‐way interaction between positive schizotypy and PLE, were associated with larger left subiculum volumes. None of the estimators for right hemispheric hippocampal subfield volumes survived correction for multiple comparisons. Our findings support differential associations of hippocampus subfield volumes with trait dimensions rather than PLE, and support overlap and interactions between psychometric positive schizotypy and PLE. In a healthy cohort without current psychosis risk syndromes, the positive association between PLE and hippocampal subfield volume occurred at a high expression of positive schizotypy. Further studies combining stable, transient, and genetic parameters are required.
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Affiliation(s)
- Ulrika Evermann
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany.,Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Christian Gaser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany.,Department of Neurology, Jena University Hospital, Jena, Germany
| | - Tina Meller
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany.,Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Julia-Katharina Pfarr
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany.,Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Sarah Grezellschak
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany.,Center for Mind, Brain and Behavior (CMBB), Marburg, Germany.,Marburg University Hospital, UKGM, Marburg, Germany
| | - Igor Nenadić
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany.,Center for Mind, Brain and Behavior (CMBB), Marburg, Germany.,Marburg University Hospital, UKGM, Marburg, Germany
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DeKraker J, Köhler S, Khan AR. Surface-based hippocampal subfield segmentation. Trends Neurosci 2021; 44:856-863. [PMID: 34304910 DOI: 10.1016/j.tins.2021.06.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 05/25/2021] [Accepted: 06/15/2021] [Indexed: 10/20/2022]
Abstract
Though it is often termed 'subcortical,' the hippocampus is composed of a folded 'archicortical' sheet contiguous with the neocortex. The human hippocampus varies considerably in its internal folding configuration, creating major challenges in interindividual alignment and parcellation into subfields. In this opinion article, we discuss surface-based methods that aim to explicitly model hippocampal folding, similar to methods used in the neocortex, allowing interindividual alignment in an unfolded or flat-mapped 2D space. Such an approach enables detailed morphological characterization, constrains the problem of subfield segmentation, and provides a way to visualize data without occlusions. We argue that, when applied to magnetic resonance imaging (MRI) data, such methods overcome pitfalls of more conventional manual or registration-based subfield segmentation approaches.
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Affiliation(s)
- Jordan DeKraker
- Brain and Mind Institute, University of Western Ontario, London, ON, Canada; Robarts Research Institute, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada.
| | - Stefan Köhler
- Brain and Mind Institute, University of Western Ontario, London, ON, Canada; Department of Psychology, University of Western Ontario, London, ON, Canada.
| | - Ali R Khan
- Brain and Mind Institute, University of Western Ontario, London, ON, Canada; Robarts Research Institute, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada; School of Biomedical Engineering, University of Western Ontario, London, ON, Canada; Department of Medical Biophysics, University of Western Ontario, London, ON, Canada.
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63
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Roeske MJ, Konradi C, Heckers S, Lewis AS. Hippocampal volume and hippocampal neuron density, number and size in schizophrenia: a systematic review and meta-analysis of postmortem studies. Mol Psychiatry 2021; 26:3524-3535. [PMID: 32724199 PMCID: PMC7854798 DOI: 10.1038/s41380-020-0853-y] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 07/16/2020] [Accepted: 07/21/2020] [Indexed: 12/12/2022]
Abstract
Reduced hippocampal volume is a consistent finding in neuroimaging studies of individuals with schizophrenia. While these studies have the advantage of large-sample sizes, they are unable to quantify the cellular basis of structural or functional changes. In contrast, postmortem studies are well suited to explore subfield and cellular alterations, but low sample sizes and subject heterogeneity impede establishment of statistically significant differences. Here we use a meta-analytic approach to synthesize the extant literature of hippocampal subfield volume and cellular composition in schizophrenia patients and healthy control subjects. Following pre-registration (PROSPERO CRD42019138280), PubMed, Web of Science, and PsycINFO were searched using the term: (schizophrenia OR schizoaffective) AND (post-mortem OR postmortem) AND hippocampus. Subjects were adult men and women with schizophrenia or schizoaffective disorder or non-psychiatric control subjects, and key outcomes, stratified by hippocampal hemisphere and subfield, were volume, neuron number, neuron density, and neuron size. A random effects meta-analysis was performed. Thirty-two studies were included (413 patients, 415 controls). In patients, volume and neuron number were significantly reduced in multiple hippocampal subfields in left, but not right hippocampus, whereas neuron density was not significantly different in any hippocampal subfield. Neuron size, averaged bilaterally, was also significantly reduced in all calculated subfields. Heterogeneity was minimal to moderate, with rare evidence of publication bias. Meta-regression of age and illness duration did not explain heterogeneity of total hippocampal volume effect sizes. These results extend neuroimaging findings of smaller hippocampal volume in schizophrenia patients and further our understanding of regional and cellular neuropathology in schizophrenia.
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Affiliation(s)
- Maxwell J Roeske
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, 37212, USA
| | - Christine Konradi
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, 37212, USA
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, 37232, USA
- Department of Pharmacology, Vanderbilt University, Nashville, TN, 37232, USA
- Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, TN, 37212, USA
| | - Stephan Heckers
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, 37212, USA
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, 37232, USA
- Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, TN, 37212, USA
| | - Alan S Lewis
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, 37212, USA.
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, 37232, USA.
- Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, TN, 37212, USA.
- Center for Cognitive Medicine, Vanderbilt University Medical Center, Nashville, TN, 37212, USA.
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SREBP-1c Deficiency Affects Hippocampal Micromorphometry and Hippocampus-Dependent Memory Ability in Mice. Int J Mol Sci 2021; 22:ijms22116103. [PMID: 34198910 PMCID: PMC8201143 DOI: 10.3390/ijms22116103] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 05/28/2021] [Accepted: 06/04/2021] [Indexed: 11/18/2022] Open
Abstract
Changes in structural and functional neuroplasticity have been implicated in various neurological disorders. Sterol regulatory element-binding protein (SREBP)-1c is a critical regulatory molecule of lipid homeostasis in the brain. Recently, our findings have shown the potential involvement of SREBP-1c deficiency in the alteration of novel modulatory molecules in the hippocampus and occurrence of schizophrenia-like behaviors in mice. However, the possible underlying mechanisms, related to neuronal plasticity in the hippocampus, are yet to be elucidated. In this study, we investigated the hippocampus-dependent memory function and neuronal architecture of hippocampal neurons in SREBP-1c knockout (KO) mice. During the passive avoidance test, SREBP-1c KO mice showed memory impairment. Based on Golgi staining, the dendritic complexity, length, and branch points were significantly decreased in the apical cornu ammonis (CA) 1, CA3, and dentate gyrus (DG) subregions of the hippocampi of SREBP-1c KO mice, compared with those of wild-type (WT) mice. Additionally, significant decreases in the dendritic diameters were detected in the CA3 and DG subregions, and spine density was also significantly decreased in the apical CA3 subregion of the hippocampi of KO mice, compared with that of WT mice. Alterations in the proportions of stubby and thin-shaped dendritic spines were observed in the apical subcompartments of CA1 and CA3 in the hippocampi of KO mice. Furthermore, the corresponding differential decreases in the levels of SREBP-1 expression in the hippocampal subregions (particularly, a significant decrease in the level in the CA3) were detected by immunofluorescence. This study suggests that the contributions of SREBP-1c to the structural plasticity of the mouse hippocampus may have underlain the behavioral alterations. These findings offer insights into the critical role of SREBP-1c in hippocampal functioning in mice.
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65
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Radonjić NV, Hess JL, Rovira P, Andreassen O, Buitelaar JK, Ching CRK, Franke B, Hoogman M, Jahanshad N, McDonald C, Schmaal L, Sisodiya SM, Stein DJ, van den Heuvel OA, van Erp TGM, van Rooij D, Veltman DJ, Thompson P, Faraone SV. Structural brain imaging studies offer clues about the effects of the shared genetic etiology among neuropsychiatric disorders. Mol Psychiatry 2021; 26:2101-2110. [PMID: 33456050 PMCID: PMC8440178 DOI: 10.1038/s41380-020-01002-z] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 12/07/2020] [Accepted: 12/11/2020] [Indexed: 02/06/2023]
Abstract
Genomewide association studies have found significant genetic correlations among many neuropsychiatric disorders. In contrast, we know much less about the degree to which structural brain alterations are similar among disorders and, if so, the degree to which such similarities have a genetic etiology. From the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) consortium, we acquired standardized mean differences (SMDs) in regional brain volume and cortical thickness between cases and controls. We had data on 41 brain regions for: attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), epilepsy, major depressive disorder (MDD), obsessive compulsive disorder (OCD), and schizophrenia (SCZ). These data had been derived from 24,360 patients and 37,425 controls. The SMDs were significantly correlated between SCZ and BD, OCD, MDD, and ASD. MDD was positively correlated with BD and OCD. BD was positively correlated with OCD and negatively correlated with ADHD. These pairwise correlations among disorders were correlated with the corresponding pairwise correlations among disorders derived from genomewide association studies (r = 0.494). Our results show substantial similarities in sMRI phenotypes among neuropsychiatric disorders and suggest that these similarities are accounted for, in part, by corresponding similarities in common genetic variant architectures.
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Affiliation(s)
- Nevena V Radonjić
- Department of Psychiatry, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Jonathan L Hess
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Paula Rovira
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Ole Andreassen
- NORMENT-Institute of Clinical Medicine, Division of Mental Health and Addiction, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Jan K Buitelaar
- Radboudumc, Radboud University Medical Center, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Christopher R K Ching
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Marina Del Rey, CA, USA
| | - Barbara Franke
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Martine Hoogman
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Neda Jahanshad
- Imaging Genetics Center, Department of Neurology and Biomedical Engineering, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Marina Del Rey, CA, USA
| | - Carrie McDonald
- Department of Psychiatry, Center for Multimodal Imaging and Genetics (CMIG), University of California, San Diego, CA, USA
| | - Lianne Schmaal
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
- Orygen, The National Centre of Excellence for Youth Mental Health, Parkville, VIC, Australia
| | - Sanjay M Sisodiya
- UCL Queen Square Institute of Neurology, Department of Clinical and Experimental Epilepsy, University College London, London, UK
- Chalfont Centre for Epilepsy, Epilepsy Society, Bucks, UK
| | - Dan J Stein
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Odile A van den Heuvel
- Department of Psychiatry and Department of Anatomy & Neurosciences, Amsterdam UMC/VUmc, Amsterdam, The Netherlands
| | - Theo G M van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine, CA, USA
| | - Daan van Rooij
- Donders Centre for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Dick J Veltman
- Department of Psychiatry and Department of Anatomy & Neurosciences, Amsterdam UMC/VUmc, Amsterdam, The Netherlands
| | - Paul Thompson
- Neuro Imaging Institute for Neuroimaging and Informatics, Keck School of Medicine of the University of Southern California, Marina Del Rey, CA, USA
| | - Stephen V Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA.
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Tan Z, Qiu J, Zhang Y, Yang Q, Yin X, Li J, Liu G, Li H, Yang G. Tetramethylpyrazine Alleviates Behavioral and Psychological Symptoms of Dementia Through Facilitating Hippocampal Synaptic Plasticity in Rats With Chronic Cerebral Hypoperfusion. Front Neurosci 2021; 15:646537. [PMID: 34025340 PMCID: PMC8134703 DOI: 10.3389/fnins.2021.646537] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 04/06/2021] [Indexed: 12/25/2022] Open
Abstract
Behavioral and psychological symptoms of dementia (BPSD) ubiquitously disturb all patients with dementia at some point in the disease course. Although a plethora of non-pharmacological and pharmacological methods targeting the relief BPSD have been developed, the therapeutic effect is still far from ideal. Here, a rat BPSD model combining the physiological changes with mental insults was successfully established. Meanwhile, our results indicated that TMP attenuated anxious behavior using an elevated plus maze (EPM) test, ameliorated recognitive ability and sociability through a novel object recognition test (NORT) and social interaction test (SIT), and improved learning and memory impairments via a Barnes maze in rats with bilateral common carotid arteries occlusion (BCCAO) plus chronic restraint stress (CRS). Given that hippocampus chronic cerebral hypoperfusion (CCH) always causes damage to the hippocampus, and the majority of cognitive impairments, behaviors, and stress responses are associated with pathology in the hippocampus including anxiety and depression, we paid attention to investigate the role of the hippocampus in BPSD. Our results indicated that Tetramethylpyrazine (TMP) attenuated anxiety and ameliorated recognitive ability, sociability, learning, and memory impairments due to alleviating dendritic and spine deficits, and upregulating the expression of synapse-related proteins (including PSD95, SYN, GAP43, SYP) in the hippocampus. We also found that the underlying mechanism was that TMP could activate the TrkB/ERK/CREB signaling pathway to promote synaptic remodeling in vivo and in vitro. Mechanically, the present study enlarges the therapeutic scope of TMP in neurodegenerative disorders and provides basic knowledge and feasible candidates for treating BPSD, particularly for vascular dementia.
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Affiliation(s)
- Zihu Tan
- Department of Geriatrics, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China.,Hubei Provincial Academy of Traditional Chinese Medicine, Wuhan, China
| | - Jing Qiu
- Department of Geriatrics, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China.,Hubei Provincial Academy of Traditional Chinese Medicine, Wuhan, China
| | - Yuting Zhang
- Clinical College of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan, China
| | - Qiong Yang
- The First Clinical College, Hubei University of Chinese Medicine, Wuhan, China
| | - Xixi Yin
- Clinical College of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan, China
| | - Jia Li
- College of Acupuncture and Orthopedics, Hubei University of Chinese Medicine/Hubei Provincial Collaborative Innovation Center of Preventive Treatment by Acupuncture and Moxibustion, Wuhan, China
| | - Guangya Liu
- College of Acupuncture and Orthopedics, Hubei University of Chinese Medicine/Hubei Provincial Collaborative Innovation Center of Preventive Treatment by Acupuncture and Moxibustion, Wuhan, China
| | - Hengfei Li
- Hubei Provincial Academy of Traditional Chinese Medicine, Wuhan, China.,Department of Infectious Diseases, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China
| | - Guang Yang
- Department of Geriatrics, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, China.,Hubei Provincial Academy of Traditional Chinese Medicine, Wuhan, China
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Scheffler F, Du Plessis S, Asmal L, Kilian S, Phahladira L, Luckhoff HK, Emsley R. Cannabis use and hippocampal subfield volumes in males with a first episode of a schizophrenia spectrum disorder and healthy controls. Schizophr Res 2021; 231:13-21. [PMID: 33740561 DOI: 10.1016/j.schres.2021.02.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 01/25/2021] [Accepted: 02/27/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND Both schizophrenia and cannabis use are associated with structural brain changes. The hippocampus is a region of particular interest due to its role in memory and select cognitive functions, impairment of which is a core feature of schizophrenia and has also been observed in substance abuse. This study aimed to explore the effects of recent/current cannabis use on hippocampal subfield volumes in male patients with first-episode schizophrenia spectrum disorders and matched controls. METHODS This cross-sectional, case-control study included 63 patients and 58 controls scanned on 3T MRI scanners, with hippocampal segmentation performed using recently validated Freesurfer v6.0 software. Cannabis use status was determined by self and carer report together with urine toxicology screening, and patients were categorised as recent/current users or non-users. We used multivariate analysis of covariance (MANCOVA) with age, scan sequence, scan quality, and total intracranial volume as covariates, with subsequent analysis of variance (ANOVA) to test the effects of diagnosis and cannabis use status on individual hippocampal subfields. RESULTS We found a group (patient/control) by cannabis use interaction effect in the subiculum, with decreased volumes observed in the cannabis non-using patients compared to the cannabis using patients, and decreased volumes in the cannabis using controls compared to the cannabis non-using controls. CONCLUSION The increased subiculum volume in cannabis using patients compared to cannabis non-using patients raises important questions regarding the pathophysiology of schizophrenia and the role of cannabis use therein.
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Affiliation(s)
- F Scheffler
- Department of Psychiatry, Stellenbosch University, South Africa.
| | - S Du Plessis
- Department of Psychiatry, Stellenbosch University, South Africa
| | - L Asmal
- Department of Psychiatry, Stellenbosch University, South Africa
| | - S Kilian
- Department of Psychiatry, Stellenbosch University, South Africa
| | - L Phahladira
- Department of Psychiatry, Stellenbosch University, South Africa
| | - H K Luckhoff
- Department of Psychiatry, Stellenbosch University, South Africa
| | - R Emsley
- Department of Psychiatry, Stellenbosch University, South Africa
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Misiak B, Piotrowski P, Chęć M, Samochowiec J. Cortisol and dehydroepiandrosterone sulfate in patients with schizophrenia spectrum disorders with respect to cognitive performance. COMPREHENSIVE PSYCHONEUROENDOCRINOLOGY 2021; 6:100041. [PMID: 35757369 PMCID: PMC9216421 DOI: 10.1016/j.cpnec.2021.100041] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 02/24/2021] [Accepted: 02/24/2021] [Indexed: 02/08/2023] Open
Abstract
Prolonged activation of the hypothalamic-pituitary-adrenal (HPA) axis associated with hypercortisolemia may lead to impairments of cognition in various populations. Dehydroepiandrosterone sulfate (DHEA-S) can protect the hippocampus from the detrimental effects of cortisol. However, this phenomenon has not been widely investigated in patients with schizophrenia spectrum disorders (SSD). Therefore, in this study, we aimed to assess the levels of cortisol, DHEA-S and cortisol/DHEA-S ratio in patients with SSD and healthy controls with respect to cognitive performance. Participants were 85 patients with SSD and 56 healthy controls, matched for age, sex and body-mass index. Cognitive performance was examined using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). The levels of hormones were measured in fasting serum samples. The levels of morning cortisol were significantly higher in patients with SSD compared to healthy controls, even after co-varying for potential confounding factors. There were no significant between-group differences in the levels of DHEA-S and cortisol/DHEA-S ratio. Higher levels of cortisol and greater cortisol/DHEA-S ratio were related to significantly lower RBANS scores of delayed memory in patients with SSD, but not in healthy controls after controlling for the effects of age, sex, BMI, the number of education years, cigarette smoking status and the dosage of antipsychotics. Our findings imply that elevated cortisol levels may contribute to impairments of memory processes in patients with SSD. However, longitudinal studies are needed to confirm causal associations. Patients with schizophrenia show increased morning cortisol levels. Our findings do not indicate altered levels of DHEA-S in schizophrenia. Higher cortisol levels might be related to impaired delayed memory in schizophrenia.
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Bombardi C, Grandis A, Pivac N, Sagud M, Lucas G, Chagraoui A, Lemaire-Mayo V, De Deurwaerdère P, Di Giovanni G. Serotonin modulation of hippocampal functions: From anatomy to neurotherapeutics. PROGRESS IN BRAIN RESEARCH 2021; 261:83-158. [PMID: 33785139 DOI: 10.1016/bs.pbr.2021.01.031] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The hippocampal region receives a dense serotoninergic innervation originating from both medial and dorsal raphe nuclei. This innervation regulates hippocampal activity through the activation of distinct receptor families that are expressed in excitatory and inhibitory neurons, terminals of several afferent neurotransmitter systems, and glial cells. Preclinical and clinical studies indicate that hippocampal dysfunctions are involved in learning and memory deficits, dementia, Alzheimer's disease, epilepsy and mood disorders such as anxiety, depression and post-traumatic syndrome disorder, whereas the hippocampus participates also in the therapeutic mechanisms of numerous medicines. Not surprisingly, several drugs acting via 5-HT mechanisms are efficacious to some extent in some diseases and the link between 5-HT and the hippocampus although clear remains difficult to untangle. For this reason, we review reported data concerning the distribution and the functional roles of the 5-HT receptors in the hippocampal region in health and disease. The impact of the 5-HT systems on the hippocampal function is such that the research of new 5-HT mechanisms and drugs is still very active. It concerns notably drugs acting at the 5-HT1A,2A,2C,4,6 receptor subtypes, in addition to the already existing drugs including the selective serotonin reuptake inhibitors.
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Affiliation(s)
- Cristiano Bombardi
- Department of Veterinary Medical Sciences, University of Bologna, Bologna, Italy.
| | - Annamaria Grandis
- Department of Veterinary Medical Sciences, University of Bologna, Bologna, Italy
| | - Nela Pivac
- Division of Molecular Medicine, Rudier Boskovic Institute, Zagreb, Croatia
| | - Marina Sagud
- Clinical Hospital Center Zagreb and School of Medicine University of Zagreb, Zagreb, Croatia
| | - Guillaume Lucas
- Neurocentre Magendie, INSERM 1215, Université de Bordeaux, Bordeaux, France
| | - Abdeslam Chagraoui
- Laboratory of Neuronal and Neuroendocrine Differentiation and Communication, Institute for Research and Innovation in Biomedicine of Normandy (IRIB), Normandie University, UNIROUEN, INSERM U1239, Rouen, France; Department of Medical Biochemistry, Rouen University Hospital, Rouen, France
| | - Valérie Lemaire-Mayo
- Centre National de la Recherche Scientifique, Institut des Neurosciences Intégratives et Cognitives d'Aquitaine, UMR 5287, Bordeaux, France
| | - Philippe De Deurwaerdère
- Centre National de la Recherche Scientifique, Institut des Neurosciences Intégratives et Cognitives d'Aquitaine, UMR 5287, Bordeaux, France
| | - Giuseppe Di Giovanni
- Laboratory of Neurophysiology, Department of Physiology and Biochemistry, Faculty of Medicine and Surgery, University of Malta, Msida, Malta; Neuroscience Division, School of Biosciences, Cardiff University, Cardiff, United Kingdom
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Tréhout M, Leroux E, Bigot L, Jego S, Leconte P, Reboursière E, Morello R, Chapon PA, Herbinet A, Quarck G, Dollfus S. A web-based adapted physical activity program (e-APA) versus health education program (e-HE) in patients with schizophrenia and healthy volunteers: study protocol for a randomized controlled trial (PEPSY V@Si). Eur Arch Psychiatry Clin Neurosci 2021; 271:325-337. [PMID: 32458107 DOI: 10.1007/s00406-020-01140-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Accepted: 05/04/2020] [Indexed: 02/07/2023]
Abstract
Patients with schizophrenia (SZ) have a high level of cardiovascular morbidity and some clinical symptoms of illness remain resistant to pharmacological approaches. A large number of studies support the effectiveness of physical activity (PA) in SZ. The aims of this trial is to assess the effects of a remote, web-based adapted PA program (e-APA) compared to a health education program (e-HE) on brain plasticity in SZ and healthy volunteers (HV) and on psychiatric, neurocognitive, circadian and physical variables. The study is an interventional, multicenter, randomized open-label trial. Forty-two SZ will be randomized to either the active group (e-APA, N = 21) or nonactive group (e-HE, N = 21), and 21 HV will be matched to SZ according to age, gender, and level of PA in both e-APA and e-HE groups. Interventions will consist of 32 sessions (2 × 60 min/week, for 16 weeks) via supervised home-based videoconferencing. Cerebral magnetic resonance imaging, psychiatric symptoms, neurocognitive and circadian rhythms assessments as well as physical tests and biological analyses will be assessed at baseline and 16 weeks after the intervention. To our knowledge, this is the first study aiming to evaluate the efficacy of APA delivered by supervised home-based videoconferencing in SZ. Moreover, using multimodal MRI, this study could clarify the pathophysiological mechanisms underlying the efficacy of APA. Finally, this innovative approach might also increase participation in long-term PA since PA-based programs are known to have low adherence and early dropout. Trial registration: ClinicalTrials.gov identifier: NCT03261817. Registered on 16 August 2017.
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Affiliation(s)
- Maxime Tréhout
- CHU de Caen Normandie, Service de Psychiatrie, Centre Esquirol, 14000, Caen, France
- Normandie Univ, UNICAEN, UFR de Médecine, 14000, Caen, France
- Normandie Univ, UNICAEN, ISTS EA 7466, GIP CYCERON, 14000, Caen, France
| | - Elise Leroux
- Normandie Univ, UNICAEN, ISTS EA 7466, GIP CYCERON, 14000, Caen, France
| | | | - Solenne Jego
- Normandie Univ, UNICAEN, ISTS EA 7466, GIP CYCERON, 14000, Caen, France
| | - Pascal Leconte
- Normandie Univ, UNICAEN/INSERM, UMR 1075, COMETE, PFRS, 14000, Caen, France
- Normandie Univ, UNICAEN, UFR STAPS, 14000, Caen, France
| | | | - Rémy Morello
- CHU de Caen Normandie, Unité de Biostatistiques et Recherche Clinique, 14000, Caen, France
| | | | | | - Gaëlle Quarck
- Normandie Univ, UNICAEN/INSERM, UMR 1075, COMETE, PFRS, 14000, Caen, France
- Normandie Univ, UNICAEN, UFR STAPS, 14000, Caen, France
| | - Sonia Dollfus
- CHU de Caen Normandie, Service de Psychiatrie, Centre Esquirol, 14000, Caen, France.
- Normandie Univ, UNICAEN, UFR de Médecine, 14000, Caen, France.
- Normandie Univ, UNICAEN, ISTS EA 7466, GIP CYCERON, 14000, Caen, France.
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Fernández-Linsenbarth I, Planchuelo-Gómez Á, Díez Á, Arjona-Valladares A, de Luis R, Martín-Santiago Ó, Benito-Sánchez JA, Pérez-Laureano Á, González-Parra D, Montes-Gonzalo C, Melero-Lerma R, Morante SF, Sanz-Fuentenebro J, Gómez-Pilar J, Núñez-Novo P, Molina V. Neurobiological underpinnings of cognitive subtypes in psychoses: A cross-diagnostic cluster analysis. Schizophr Res 2021; 229:102-111. [PMID: 33221149 DOI: 10.1016/j.schres.2020.11.013] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 10/01/2020] [Accepted: 11/12/2020] [Indexed: 02/02/2023]
Abstract
Schizophrenia and bipolar disorder include patients with different characteristics, which may hamper the definition of biomarkers. One of the dimensions with greater heterogeneity among these patients is cognition. Recent studies support the identification of different patients' subgroups along the cognitive domain using cluster analysis. Our aim was to validate clusters defined on the basis of patients' cognitive status and to assess its relation with demographic, clinical and biological measurements. We hypothesized that subgroups characterized by different cognitive profiles would show differences in an array of biological data. Cognitive data from 198 patients (127 with chronic schizophrenia, 42 first episodes of schizophrenia and 29 bipolar patients) were analyzed by a K-means cluster approach and were compared on several clinical and biological variables. We also included 155 healthy controls for further comparisons. A two-cluster solution was selected, including a severely impaired group and a moderately impaired group. The severely impaired group was associated with higher illness duration and symptoms scores, lower thalamus and hippocampus volume, lower frontal connectivity and basal hypersynchrony in comparison to controls and the moderately impaired group. Moreover, both patients' groups showed lower cortical thickness and smaller functional connectivity modulation than healthy controls. This study supports the existence of different cognitive subgroups within the psychoses with different neurobiological underpinnings.
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Affiliation(s)
| | | | - Álvaro Díez
- Psychiatry Department, School of Medicine, University of Valladolid, Valladolid, Spain
| | | | - Rodrigo de Luis
- Imaging Processing Laboratory, University of Valladolid, Valladolid, Spain
| | | | | | | | | | | | | | | | | | - Javier Gómez-Pilar
- Biomedical Engineering Group, University of Valladolid, Valladolid, Spain; Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Spain
| | - Pablo Núñez-Novo
- Biomedical Engineering Group, University of Valladolid, Valladolid, Spain; Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Spain
| | - Vicente Molina
- Psychiatry Department, School of Medicine, University of Valladolid, Valladolid, Spain; Psychiatry Service, Clinical Hospital of Valladolid, Valladolid, Spain; Neurosciences Institute of Castilla y León (INCYL), University of Salamanca, Salamanca, Spain.
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Sato J, Hirano Y, Hirakawa N, Takahashi J, Oribe N, Kuga H, Nakamura I, Hirano S, Ueno T, Togao O, Hiwatashi A, Nakao T, Onitsuka T. Lower Hippocampal Volume in Patients with Schizophrenia and Bipolar Disorder: A Quantitative MRI Study. J Pers Med 2021; 11:jpm11020121. [PMID: 33668432 PMCID: PMC7918861 DOI: 10.3390/jpm11020121] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 02/06/2021] [Accepted: 02/09/2021] [Indexed: 01/02/2023] Open
Abstract
Since patients with schizophrenia (SZ) and bipolar disorder (BD) share many biological features, detecting biomarkers that differentiate SZ and BD patients is crucial for optimized treatments. High-resolution magnetic resonance imaging (MRI) is suitable for detecting subtle brain structural differences in patients with psychiatric disorders. In the present study, we adopted a neuroanatomically defined and manually delineated region of interest (ROI) method to evaluate the amygdalae, hippocampi, Heschl’s gyrus (HG), and planum temporale (PT), because these regions are crucial in the development of SZ and BD. ROI volumes were measured using high resolution MRI in 31 healthy subjects (HS), 23 SZ patients, and 21 BD patients. Right hippocampal volumes differed significantly among groups (HS > BD > SZ), whereas left hippocampal volumes were lower in SZ patients than in HS and BD patients (HS = BD > SZ). Volumes of the amygdalae, HG, and PT did not differ among the three groups. For clinical correlations, there were no significant associations between ROI volumes and demographics/clinical symptoms. Our study revealed significant lower hippocampal volume in patients with SZ and BD, and we suggest that the right hippocampal volume is a potential biomarker for differentiation between SZ and BD.
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Affiliation(s)
- Jinya Sato
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan; (J.S.); (N.H.); (J.T.); (N.O.); (H.K.); (I.N.); (S.H.); (T.N.)
| | - Yoji Hirano
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan; (J.S.); (N.H.); (J.T.); (N.O.); (H.K.); (I.N.); (S.H.); (T.N.)
- Institute of Industrial Science, The University of Tokyo, Tokyo 153-8505, Japan
- Correspondence: (Y.H.); (T.O.); Tel.: +81-92-642-5627 (Y.H. & T.O.)
| | - Noriaki Hirakawa
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan; (J.S.); (N.H.); (J.T.); (N.O.); (H.K.); (I.N.); (S.H.); (T.N.)
| | - Junichi Takahashi
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan; (J.S.); (N.H.); (J.T.); (N.O.); (H.K.); (I.N.); (S.H.); (T.N.)
| | - Naoya Oribe
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan; (J.S.); (N.H.); (J.T.); (N.O.); (H.K.); (I.N.); (S.H.); (T.N.)
- Hizen Psychiatric Medical Center, Division of Clinical Research, National Hospital Organization, Saga 842-0192, Japan;
| | - Hironori Kuga
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan; (J.S.); (N.H.); (J.T.); (N.O.); (H.K.); (I.N.); (S.H.); (T.N.)
- Hizen Psychiatric Medical Center, Division of Clinical Research, National Hospital Organization, Saga 842-0192, Japan;
| | - Itta Nakamura
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan; (J.S.); (N.H.); (J.T.); (N.O.); (H.K.); (I.N.); (S.H.); (T.N.)
| | - Shogo Hirano
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan; (J.S.); (N.H.); (J.T.); (N.O.); (H.K.); (I.N.); (S.H.); (T.N.)
| | - Takefumi Ueno
- Hizen Psychiatric Medical Center, Division of Clinical Research, National Hospital Organization, Saga 842-0192, Japan;
| | - Osamu Togao
- Department of Molecular Imaging and Diagnosis, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan;
| | - Akio Hiwatashi
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan;
| | - Tomohiro Nakao
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan; (J.S.); (N.H.); (J.T.); (N.O.); (H.K.); (I.N.); (S.H.); (T.N.)
| | - Toshiaki Onitsuka
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan; (J.S.); (N.H.); (J.T.); (N.O.); (H.K.); (I.N.); (S.H.); (T.N.)
- Correspondence: (Y.H.); (T.O.); Tel.: +81-92-642-5627 (Y.H. & T.O.)
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Leon-Llamas JL, Villafaina S, Murillo-Garcia A, Gusi N. Impact of Fibromyalgia in the Hippocampal Subfields Volumes of Women-An MRI Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18041549. [PMID: 33561969 PMCID: PMC7915872 DOI: 10.3390/ijerph18041549] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 02/01/2021] [Accepted: 02/02/2021] [Indexed: 11/16/2022]
Abstract
Patients with fibromyalgia (FM) show widespread pain associated with other symptoms such as cognitive problems, depression, and anxiety among others associated with alterations in the central nervous system. The hippocampal subfields had differences in function, histology, and connectivity with other brain regions, and are altered in different diseases. This study evaluates the volumetric differences between patients with FM compared with a healthy control group. A total of 49 women with, and 43 healthy women completed this study. T1-weighted MRI was used to assess brain volume, and FreeSurfer software was used to segment the hippocampal subfields. Women with FM had a significant reduction in most of the hippocampal subfields. The regression equation models were obtained to predict the volume of specific subfields of the right and left hippocampus. These findings provide that women with FM have lower hippocampal subfields volumes compared with healthy women. Besides, regression models show that different covariates, such as age, cognitive impairment, or depression, are related to specific subfields.
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Affiliation(s)
- Juan Luis Leon-Llamas
- Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Sciences, University of Extremadura, Av. De Universidad s/n, 10003 Caceres, Spain; (J.L.L.-L.); (S.V.); (N.G.)
| | - Santos Villafaina
- Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Sciences, University of Extremadura, Av. De Universidad s/n, 10003 Caceres, Spain; (J.L.L.-L.); (S.V.); (N.G.)
| | - Alvaro Murillo-Garcia
- Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Sciences, University of Extremadura, Av. De Universidad s/n, 10003 Caceres, Spain; (J.L.L.-L.); (S.V.); (N.G.)
- Correspondence:
| | - Narcis Gusi
- Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Sciences, University of Extremadura, Av. De Universidad s/n, 10003 Caceres, Spain; (J.L.L.-L.); (S.V.); (N.G.)
- International Institute for Innovation in Aging, University of Extremadura, 10003 Caceres, Spain
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Wisse LEM, Chételat G, Daugherty AM, de Flores R, la Joie R, Mueller SG, Stark CEL, Wang L, Yushkevich PA, Berron D, Raz N, Bakker A, Olsen RK, Carr VA. Hippocampal subfield volumetry from structural isotropic 1 mm 3 MRI scans: A note of caution. Hum Brain Mapp 2021; 42:539-550. [PMID: 33058385 PMCID: PMC7775994 DOI: 10.1002/hbm.25234] [Citation(s) in RCA: 74] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 09/01/2020] [Accepted: 09/29/2020] [Indexed: 01/05/2023] Open
Abstract
Spurred by availability of automatic segmentation software, in vivo MRI investigations of human hippocampal subfield volumes have proliferated in the recent years. However, a majority of these studies apply automatic segmentation to MRI scans with approximately 1 × 1 × 1 mm3 resolution, a resolution at which the internal structure of the hippocampus can rarely be visualized. Many of these studies have reported contradictory and often neurobiologically surprising results pertaining to the involvement of hippocampal subfields in normal brain function, aging, and disease. In this commentary, we first outline our concerns regarding the utility and validity of subfield segmentation on 1 × 1 × 1 mm3 MRI for volumetric studies, regardless of how images are segmented (i.e., manually or automatically). This image resolution is generally insufficient for visualizing the internal structure of the hippocampus, particularly the stratum radiatum lacunosum moleculare, which is crucial for valid and reliable subfield segmentation. Second, we discuss the fact that automatic methods that are employed most frequently to obtain hippocampal subfield volumes from 1 × 1 × 1 mm3 MRI have not been validated against manual segmentation on such images. For these reasons, we caution against using volumetric measurements of hippocampal subfields obtained from 1 × 1 × 1 mm3 images.
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Affiliation(s)
- Laura E. M. Wisse
- Diagnostic RadiologyLund UniversityLundSweden
- Penn Image Computing and Science Laboratory, Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Penn Memory Center, Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Gaël Chételat
- Université Normandie, InsermUniversité de Caen‐Normandie, Inserm UMR‐S U1237CaenFrance
| | - Ana M. Daugherty
- Department of PsychologyWayne State UniversityDetroitMichiganUSA
- Institute of GerontologyWayne State UniversityDetroitMichiganUSA
- Department of Psychiatry and Behavioral NeurosciencesWayne State UniversityDetroitMichiganUSA
| | - Robin de Flores
- Université Normandie, InsermUniversité de Caen‐Normandie, Inserm UMR‐S U1237CaenFrance
| | - Renaud la Joie
- Memory and Aging CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Susanne G. Mueller
- Department of RadiologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Center for Imaging of Neurodegenerative DiseasesSan Francisco VA Medical CenterSan FranciscoCaliforniaUSA
| | - Craig E. L. Stark
- Department of Neurobiology and BehaviorUniversity of California IrvineIrvineCaliforniaUSA
| | - Lei Wang
- Department of Psychiatry and Behavioral SciencesNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
- Department of RadiologyNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Paul A. Yushkevich
- Penn Image Computing and Science Laboratory, Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - David Berron
- Clinical Memory Research Unit, Department of Clinical Sciences MalmöLund UniversityLundSweden
| | - Naftali Raz
- Department of PsychologyWayne State UniversityDetroitMichiganUSA
- Institute of GerontologyWayne State UniversityDetroitMichiganUSA
- Center for Lifespan PsychologyMax Planck Institute for Human DevelopmentBerlinGermany
| | - Arnold Bakker
- Department of Psychiatry and Behavioral SciencesJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | | | - Valerie A. Carr
- Department of PsychologySan Jose State UniversitySan JoseCaliforniaUSA
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75
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Vattimo EFQ, Dos Santos AC, Hoexter MQ, Frudit P, Miguel EC, Shavitt RG, Batistuzzo MC. Higher volumes of hippocampal subfields in pediatric obsessive-compulsive disorder. Psychiatry Res Neuroimaging 2021; 307:111200. [PMID: 33059948 DOI: 10.1016/j.pscychresns.2020.111200] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Revised: 09/12/2020] [Accepted: 10/02/2020] [Indexed: 10/23/2022]
Abstract
Differences in hippocampus volume have been identified in adult patients with obsessive-compulsive disorder (OCD). However, the role of this limbic structure in pediatric patients is unclear. This study aimed to investigate the hippocampus and its subregions in a sample of 29 children and adolescents with OCD compared to 28 healthy controls, matched for age, sex, education, and IQ. Volumetric segmentation was performed using the Freesurfer software to calculate the volumes of the subregions that reflect the hippocampal cytoarchitecture. The volumes of three anatomic subregions (tail, body, and head) were also calculated. ANCOVA was performed to investigate differences of these volumes between patients and controls, controlling for total gray matter volume. After Bonferroni correction for multiple comparisons (p-value < 0.00556 for the body and < 0.00625 for the head structures), patients presented statistically significant larger volumes of the following structures: left subiculum body; left CA4 body; left GC-DG body; left molecular layer body; right parasubiculum; left CA4 head; left molecular layer head; right subiculum head and right molecular layer head. These enlarged volumes resulted in larger left and right whole hippocampi in patients, as well as bilateral hippocampal heads and left hippocampal body (all p-values < 0.00625). There were no associations between OCD severity and hippocampal volumes. These findings diverge from previous reports on adults and may indicate that larger hippocampal volumes could reflect an early marker of OCD, not present in adults.
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Affiliation(s)
- Edoardo F Q Vattimo
- Departamento de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo, SP, Brazil
| | | | - Marcelo Q Hoexter
- Departamento de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo, SP, Brazil
| | - Paula Frudit
- Faculdade de Ciências Médicas da Santa Casa de São Paulo, SP, Brazil
| | - Euripedes C Miguel
- Departamento de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo, SP, Brazil
| | - Roseli G Shavitt
- Departamento de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo, SP, Brazil
| | - Marcelo C Batistuzzo
- Departamento de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo, SP, Brazil; Departamento de Métodos e Técnicas, Curso de Psicologia da Faculdade de Ciências Humanas e da Saúde, Pontifícia Universidade Católica de São Paulo, SP, Brazil.
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76
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Pontillo M, Averna R, Tata MC, Chieppa F, Pucciarini ML, Vicari S. Neurodevelopmental Trajectories and Clinical Profiles in a Sample of Children and Adolescents With Early- and Very-Early-Onset Schizophrenia. Front Psychiatry 2021; 12:662093. [PMID: 34603093 PMCID: PMC8481627 DOI: 10.3389/fpsyt.2021.662093] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 08/06/2021] [Indexed: 11/17/2022] Open
Abstract
Schizophrenia before the age of 18 years is usually divided into two categories. Early-onset schizophrenia (EOS) presents between the ages of 13 and 17 years, whereas very-early-onset schizophrenia (VEOS) presents at or before the age of 12 years. Previous studies have found that neurodevelopmental difficulties in social, motor, and linguistic domains are commonly observed in VEOS/EOS patients. Recent research has also shown a high prevalence of neurodevelopmental disorders (e.g., intellectual disability, communication disorders, autism spectrum disorder, neurodevelopmental motor disorders) in VEOS/EOS patients, indicating genetic overlap between these conditions. These findings lend support to the neurodevelopmental continuum model, which holds that childhood neurodevelopmental disorders and difficulties and psychiatric disorders (e.g., schizophrenia) fall on an etiological and neurodevelopmental continuum, and should not be considered discrete entities. Based on this literature, in this study we focused on the overlap between neurodevelopmental disorders and schizophrenia investigating, in a large sample (N = 230) of VEOS/EOS children and adolescents, the clinical differences, at the onset of psychosis, between VEOS/EOS with neurodevelopmental disorder or neurodevelopmental difficulties and VEOS/EOS with no diagnosed neurodevelopmental disorder or neurodevelopmental difficulties. The findings showed that, in children and adolescents with a neurodevelopmental disorder or neurodevelopmental difficulties, psychosis onset occurred at an earlier age, was associated with more severe functional impairment (e.g., global, social, role), and was characterized by positive symptoms (e.g., grandiose ideas, perceptual abnormalities, disorganized communication) and disorganized symptoms (e.g., odd behavior or appearance, bizarre thinking). Instead, in children and adolescents without a neurodevelopmental disorder or neurodevelopmental difficulties, psychosis onset was mainly characterized by negative symptomatology (e.g., social anhedonia, avolition, expression of emotion, experience of emotions and self, ideational richness). Given these differences, the presence of a neurodevelopmental disorder or neurodevelopmental difficulties should be carefully investigated and integrated early into the assessment and treatment plan for VEOS/EOS patients.
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Affiliation(s)
- Maria Pontillo
- Child and Adolescent Neuropsychiatry Unit, Department of Neuroscience, Children Hospital Bambino Gesù, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Roberto Averna
- Child and Adolescent Neuropsychiatry Unit, Department of Neuroscience, Children Hospital Bambino Gesù, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Maria Cristina Tata
- Child and Adolescent Neuropsychiatry Unit, Department of Neuroscience, Children Hospital Bambino Gesù, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Fabrizia Chieppa
- Department of Life Sciences and Public Health, Catholic University of the Sacred Heart, Rome, Italy
| | - Maria Laura Pucciarini
- Child and Adolescent Neuropsychiatry Unit, Department of Neuroscience, Children Hospital Bambino Gesù, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Stefano Vicari
- Child and Adolescent Neuropsychiatry Unit, Department of Neuroscience, Children Hospital Bambino Gesù, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy.,Department of Life Sciences and Public Health, Catholic University of the Sacred Heart, Rome, Italy
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77
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Roeske MJ, McHugo M, Vandekar S, Blackford JU, Woodward ND, Heckers S. Incomplete hippocampal inversion in schizophrenia: prevalence, severity, and impact on hippocampal structure. Mol Psychiatry 2021; 26:5407-5416. [PMID: 33437006 PMCID: PMC8589684 DOI: 10.1038/s41380-020-01010-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 12/16/2020] [Accepted: 12/17/2020] [Indexed: 11/09/2022]
Abstract
Incomplete hippocampal inversion (IHI) is an anatomical variant of the human brain resulting from an arrest in brain development, especially prevalent in the left hemisphere. We hypothesized that IHI is more common in schizophrenia and contributes to the well-known hippocampal structural differences. We studied 199 schizophrenia patients and 161 healthy control participants with 3 T MRI to establish IHI prevalence and the relationship of IHI with hippocampal volume and asymmetry. IHI was more prevalent (left hemisphere: 15% of healthy control participants, 27% of schizophrenia patients; right hemisphere: 4% of healthy control participants, 10% of schizophrenia patients) and more severe in schizophrenia patients compared to healthy control participants. Severe IHI cases were associated with a higher rate of automated segmentation failure. IHI contributed to smaller hippocampal volume and increased R > L volume asymmetry in schizophrenia. The increased prevalence and severity of IHI supports the neurodevelopmental model of schizophrenia. The impact of this developmental variant deserves further exploration in studies of the hippocampus in schizophrenia.
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Affiliation(s)
- Maxwell J. Roeske
- grid.412807.80000 0004 1936 9916Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN USA
| | - Maureen McHugo
- grid.412807.80000 0004 1936 9916Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN USA
| | - Simon Vandekar
- grid.412807.80000 0004 1936 9916Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN USA
| | - Jennifer Urbano Blackford
- grid.412807.80000 0004 1936 9916Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN USA ,grid.413806.8Research Health Scientist, Research and Development, Veterans Affairs Medical Center, Nashville, TN USA
| | - Neil D. Woodward
- grid.412807.80000 0004 1936 9916Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN USA
| | - Stephan Heckers
- grid.412807.80000 0004 1936 9916Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN USA
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78
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Sasabayashi D, Yoshimura R, Takahashi T, Takayanagi Y, Nishiyama S, Higuchi Y, Mizukami Y, Furuichi A, Kido M, Nakamura M, Noguchi K, Suzuki M. Reduced Hippocampal Subfield Volume in Schizophrenia and Clinical High-Risk State for Psychosis. Front Psychiatry 2021; 12:642048. [PMID: 33828496 PMCID: PMC8019805 DOI: 10.3389/fpsyt.2021.642048] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 02/19/2021] [Indexed: 11/13/2022] Open
Abstract
Magnetic resonance imaging (MRI) studies in schizophrenia demonstrated volume reduction in hippocampal subfields divided on the basis of specific cytoarchitecture and function. However, it remains unclear whether this abnormality exists prior to the onset of psychosis and differs across illness stages. MRI (3 T) scans were obtained from 77 patients with schizophrenia, including 24 recent-onset and 40 chronic patients, 51 individuals with an at-risk mental state (ARMS) (of whom 5 subsequently developed psychosis within the follow-up period), and 87 healthy controls. Using FreeSurfer software, hippocampal subfield volumes were measured and compared across the groups. Both schizophrenia and ARMS groups exhibited significantly smaller volumes for the bilateral Cornu Ammonis 1 area, left hippocampal tail, and right molecular layer of the hippocampus than the healthy control group. Within the schizophrenia group, chronic patients exhibited a significantly smaller volume for the left hippocampal tail than recent-onset patients. The left hippocampal tail volume was positively correlated with onset age, and negatively correlated with duration of psychosis and duration of medication in the schizophrenia group. Reduced hippocampal subfield volumes observed in both schizophrenia and ARMS groups may represent a common biotype associated with psychosis vulnerability. Volumetric changes of the left hippocampal tail may also suggest ongoing atrophy after the onset of schizophrenia.
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Affiliation(s)
- Daiki Sasabayashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Ryo Yoshimura
- Faculty of Medicine, University of Toyama, Toyama, Japan
| | - Tsutomu Takahashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Yoichiro Takayanagi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Arisawabashi Hospital, Toyama, Japan
| | - Shimako Nishiyama
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Health Administration Center, University of Toyama, Toyama, Japan
| | - Yuko Higuchi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Yuko Mizukami
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Atsushi Furuichi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Mikio Kido
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Mihoko Nakamura
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Kyo Noguchi
- Department of Radiology, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Michio Suzuki
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
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79
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Exploring brain insulin resistance in adults with bipolar depression using extracellular vesicles of neuronal origin. J Psychiatr Res 2021; 133:82-92. [PMID: 33316649 PMCID: PMC7855678 DOI: 10.1016/j.jpsychires.2020.12.007] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 11/20/2020] [Accepted: 12/01/2020] [Indexed: 12/13/2022]
Abstract
Accumulating evidence suggests that disrupted insulin signaling is involved in bipolar disorder (BD) pathogenesis. Herein, we aimed to directly explore the potential role of neuronal insulin signaling using an innovative technique based on biomarkers derived from plasma extracellular vesicles enriched for neuronal origin (NEVs). We leveraged plasma samples from a randomized, double-blind, placebo-controlled, 12-week clinical trial evaluating infliximab as a treatment of bipolar depression. We isolated NEVs using immunoprecipitation against neuronal marker L1CAM from samples collected at baseline and weeks 2, 6 and 12 (endpoint) and measured NEV biomarkers using immunoassays. We assessed neuronal insulin signaling at its first node (IRS-1) and along the canonical (Akt, GSK-3β, p70S6K) and alternative (ERK1/2, JNK and p38-MAPK) pathways. A subset of participants (n = 27) also underwent whole-brain magnetic resonance imaging (MRI) at baseline and endpoint. Pre-treatment, NEV biomarkers of insulin signaling were independently associated with cognitive function and MRI measures (i.e. hippocampal and ventromedial prefrontal cortex [vmPFC] volumes). In fact, the association between IRS-1 phosphorylation at serine site 312 (pS312-IRS-1), an indicator of insulin resistance, and cognitive dysfunction was mediated by vmPFC volume. In the longitudinal analysis, patients treated with infliximab, a tumor necrosis factor-alpha antagonist with known insulin sensitizing properties, compared to those treated with placebo, had augmented phosphorylation of proteins from the alternative pathway. Infliximab responders had significant increases in phosphorylated JNK levels, relative to infliximab non-responders and placebo responders. In addition, treatment with infliximab resulted in increase in MRI measures of brain volume; treatment-related changes in the dorsolateral prefrontal cortex volume were mediated by changes in biomarkers from the insulin alternative pathway. In conclusion, our findings support the idea that brain insulin signaling is a target for further mechanistic and therapeutic investigations.
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80
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Carreño Ruiz G, Zapata Ospina JP, Vargas C, Aguirre Acevedo DC, López-Jaramillo C. Structural Neuroimaging and Predominant Polarity in Patients with Type 1 Bipolar Disorder from Antioquia. REVISTA COLOMBIANA DE PSIQUIATRIA (ENGLISH ED.) 2020; 51:S0034-7450(20)30098-6. [PMID: 33734996 DOI: 10.1016/j.rcp.2020.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 10/05/2020] [Indexed: 06/12/2023]
Abstract
INTRODUCTION Predominant polarity (PP) has been proposed as a specifier of bipolar disorder (BD) due to its relationship with clinical and prognostic variables. It is possible that this is due to a different underlying neurobiology, in such a way that the changes found by structural nuclear magnetic resonance imaging (sMRI) in BD are different and specific. OBJECTIVES To explore findings of structural neuroimaging in patients with BD type I (BD-I) according to PP. METHODS Cross-sectional study that evaluated 77 patients with BD-I using the DIGS interview. PP was established using the operative definition of two-thirds of all affective episodes throughout life to classify PP as manic (MPP), depressive (DPP) or indeterminate (IPP). MRIwas performed during the euthymia phase to measure intracranial structures. The data obtained was analysed using a linear regression model adjusted for confounding variables (drug use, alcohol use, psychoactive substance use) and were compared between the three groups finding the standardised mean difference (SMD). RESULTS Differences with adequate effect size were found in three brain structures after adjusting for confounding variables, specifically in the right fusiform gyrus and the left lingual gyrus, which were greater in the DPP group than in the MPP group (SMD = 0.92; 95% CI = 0.34 to 1.49 and SMD = 0.78; 95% CI = 0.21 to 1.35). Likewise, in the right thalamus, it was shown to be greater in the IPP group compared to MPP group (SMD 0.89, 95% CI = 0.31 to 1.46). CONCLUSIONS A reduction in the thickness of the right fusiform gyrus and the left lingual gyrus, as well as the right thalamic volume was observed in patients with BD-I with PPM, which supports the hypothesis that PP has a plausible neurobiological correlate and could have potential utility as a BD specifier.
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Affiliation(s)
| | - Juan Pablo Zapata Ospina
- Instituto de Investigaciones Médicas, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Cristian Vargas
- Grupo de Investigación en Psiquiatría GIPSI, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | | | - Carlos López-Jaramillo
- Grupo de Investigación en Psiquiatría GIPSI, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
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81
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Sämann PG, Iglesias JE, Gutman B, Grotegerd D, Leenings R, Flint C, Dannlowski U, Clarke‐Rubright EK, Morey RA, Erp TG, Whelan CD, Han LKM, Velzen LS, Cao B, Augustinack JC, Thompson PM, Jahanshad N, Schmaal L. FreeSurfer
‐based segmentation of hippocampal subfields: A review of methods and applications, with a novel quality control procedure for
ENIGMA
studies and other collaborative efforts. Hum Brain Mapp 2020; 43:207-233. [PMID: 33368865 PMCID: PMC8805696 DOI: 10.1002/hbm.25326] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Revised: 11/26/2020] [Accepted: 12/13/2020] [Indexed: 12/11/2022] Open
Abstract
Structural hippocampal abnormalities are common in many neurological and psychiatric disorders, and variation in hippocampal measures is related to cognitive performance and other complex phenotypes such as stress sensitivity. Hippocampal subregions are increasingly studied, as automated algorithms have become available for mapping and volume quantification. In the context of the Enhancing Neuro Imaging Genetics through Meta Analysis Consortium, several Disease Working Groups are using the FreeSurfer software to analyze hippocampal subregion (subfield) volumes in patients with neurological and psychiatric conditions along with data from matched controls. In this overview, we explain the algorithm's principles, summarize measurement reliability studies, and demonstrate two additional aspects (subfield autocorrelation and volume/reliability correlation) with illustrative data. We then explain the rationale for a standardized hippocampal subfield segmentation quality control (QC) procedure for improved pipeline harmonization. To guide researchers to make optimal use of the algorithm, we discuss how global size and age effects can be modeled, how QC steps can be incorporated and how subfields may be aggregated into composite volumes. This discussion is based on a synopsis of 162 published neuroimaging studies (01/2013–12/2019) that applied the FreeSurfer hippocampal subfield segmentation in a broad range of domains including cognition and healthy aging, brain development and neurodegeneration, affective disorders, psychosis, stress regulation, neurotoxicity, epilepsy, inflammatory disease, childhood adversity and posttraumatic stress disorder, and candidate and whole genome (epi‐)genetics. Finally, we highlight points where FreeSurfer‐based hippocampal subfield studies may be optimized.
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Affiliation(s)
| | - Juan Eugenio Iglesias
- Centre for Medical Image Computing University College London London UK
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology Massachusetts General Hospital/Harvard Medical School Boston Massachusetts US
- Computer Science and AI Laboratory (CSAIL), Massachusetts Institute of Technology (MIT) Cambridge Massachusetts US
| | - Boris Gutman
- Department of Biomedical Engineering Illinois Institute of Technology Chicago USA
| | | | - Ramona Leenings
- Department of Psychiatry University of Münster Münster Germany
| | - Claas Flint
- Department of Psychiatry University of Münster Münster Germany
- Department of Mathematics and Computer Science University of Münster Germany
| | - Udo Dannlowski
- Department of Psychiatry University of Münster Münster Germany
| | - Emily K. Clarke‐Rubright
- Brain Imaging and Analysis Center, Duke University Durham North Carolina USA
- VISN 6 MIRECC, Durham VA Durham North Carolina USA
| | - Rajendra A. Morey
- Brain Imaging and Analysis Center, Duke University Durham North Carolina USA
- VISN 6 MIRECC, Durham VA Durham North Carolina USA
| | - Theo G.M. Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior University of California Irvine California USA
- Center for the Neurobiology of Learning and Memory University of California Irvine Irvine California USA
| | - Christopher D. Whelan
- Imaging Genetics Center Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California Los Angeles California USA
| | - Laura K. M. Han
- Department of Psychiatry Amsterdam University Medical Centers, Vrije Universiteit and GGZ inGeest, Amsterdam Neuroscience Amsterdam The Netherlands
| | - Laura S. Velzen
- Orygen Parkville Australia
- Centre for Youth Mental Health The University of Melbourne Melbourne Australia
| | - Bo Cao
- Department of Psychiatry, Faculty of Medicine & Dentistry University of Alberta Edmonton Canada
| | - Jean C. Augustinack
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology Massachusetts General Hospital/Harvard Medical School Boston Massachusetts US
| | - Paul M. Thompson
- Imaging Genetics Center Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California Los Angeles California USA
| | - Neda Jahanshad
- Imaging Genetics Center Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California Los Angeles California USA
| | - Lianne Schmaal
- Orygen Parkville Australia
- Centre for Youth Mental Health The University of Melbourne Melbourne Australia
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82
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Hu N, Luo C, Zhang W, Yang X, Xiao Y, Sweeney JA, Lui S, Gong Q. Hippocampal subfield alterations in schizophrenia: A selective review of structural MRI studies. Biomark Neuropsychiatry 2020. [DOI: 10.1016/j.bionps.2020.100026] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
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83
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McKinney RA, Avery SN, Armstrong K, Blackford JU, Woodward ND, Heckers S. Relational memory in the early stage of psychotic bipolar disorder. Psychiatry Res 2020; 294:113508. [PMID: 33096436 PMCID: PMC7809627 DOI: 10.1016/j.psychres.2020.113508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 10/08/2020] [Indexed: 11/26/2022]
Abstract
Relational memory is impaired in psychotic disorders. In non-affective psychotic disorders, relational memory deficits are present in the early stage of illness and become more pronounced in the chronic stage. Previous studies have demonstrated cognitive deficits in early-stage psychotic bipolar disorder, but it is unclear whether relational memory is impaired. We examined relational memory using a face-scene binding task in early-stage psychotic bipolar disorder patients (n = 33) and compared their performance with healthy control (n = 40) and early-stage non-affective psychosis participants (n = 40). During training, participants learned to associate faces with background scenes. During testing, participants viewed a scene overlaid by three faces and were asked to recall the matching face. Relational memory was assessed indirectly using eye movements and explicitly using forced-choice recognition. Preferential viewing of the matching face, as captured by overall proportion of viewing and viewing across time, was significantly lower in psychotic bipolar disorder than in the healthy control group. However, preferential viewing of the matching face in psychotic bipolar disorder was significantly better than in non-affective psychosis. These findings provide novel evidence that relational memory in patients with early-stage psychotic bipolar disorder is intermediate between healthy control and early-stage non-affective psychosis subjects.
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Affiliation(s)
- Rachel A. McKinney
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37212 USA
| | - Suzanne N. Avery
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37212 USA,Corresponding Author: Suzanne N. Avery, Ph.D., Vanderbilt Psychiatric Hospital, 1601 23rd Avenue South, Suite 3057, Nashville, TN 37212, Phone: (615) 936-1360, Fax: (615) 343-8400,
| | - Kristan Armstrong
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37212 USA
| | - Jennifer Urbano Blackford
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37212 USA,Research Health Scientist, Research and Development, Department of Veterans Affairs Medical Center, Nashville, TN 37212 USA
| | - Neil D. Woodward
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37212 USA
| | - Stephan Heckers
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37212 USA
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84
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Mancini V, Sandini C, Padula MC, Zöller D, Schneider M, Schaer M, Eliez S. Positive psychotic symptoms are associated with divergent developmental trajectories of hippocampal volume during late adolescence in patients with 22q11DS. Mol Psychiatry 2020; 25:2844-2859. [PMID: 31164700 DOI: 10.1038/s41380-019-0443-z] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 05/04/2019] [Accepted: 05/13/2019] [Indexed: 12/17/2022]
Abstract
Low hippocampal volume is a consistent finding in schizophrenia and across the psychosis spectrum. However, there is a lack of studies investigating longitudinal hippocampal development and its relationship with psychotic symptoms. The 22q11.2 deletion syndrome (22q11DS) has proven to be a remarkable model for the prospective study of individuals at high risk of schizophrenia to unravel the pathophysiological processes predating the onset of psychosis. Repeated cerebral MRIs were acquired from 140 patients with 22q11DS (53 experiencing moderate-to-severe psychotic symptoms) and 135 healthy controls aged from 6 to 35 years and with up to 5 time points per participant. Hippocampal subfield analysis was conducted using FreeSurfer-v.6 and FIRST-FSL. Then, whole hippocampal and subfield volumes were compared across the groups. Relative to controls, patients with 22q11DS showed a remarkably lower volume of all subfields except for CA2/3. No divergent trajectories in hippocampal development were found. When comparing patients with 22q11DS exhibiting psychotic symptoms to those without psychosis, we detected a volume decrease during late adolescence, starting in CA1 and spreading to other subfields. Our findings suggested that hippocampal volume is consistently smaller in patients with 22q11DS. Moreover, we have demonstrated that patients with 22q11DS and psychotic symptoms undergo a further decrease in volume during adolescence, a vulnerable period for the emergence of psychosis. Interestingly, CA2/3, despite being affected in patients with psychotic symptoms, was the only area not reduced in patients with 22q11DS relative to controls, thus suggesting that its atrophy exclusively correlates with the presence of positive psychotic symptoms.
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Affiliation(s)
- Valentina Mancini
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland.
| | - Corrado Sandini
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland
| | - Maria C Padula
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland.,Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
| | - Daniela Zöller
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland.,Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Maude Schneider
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland.,Department of Neuroscience, Center for Contextual Psychiatry, Research Group Psychiatry, KU Leuven, Leuven, Belgium
| | - Marie Schaer
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland
| | - Stephan Eliez
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland.,Department of Genetic Medicine and Development, University of Geneva School of Medicine, Geneva, Switzerland
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85
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Haukvik UK, Gurholt TP, Nerland S, Elvsåshagen T, Akudjedu TN, Alda M, Alnæs D, Alonso‐Lana S, Bauer J, Baune BT, Benedetti F, Berk M, Bettella F, Bøen E, Bonnín CM, Brambilla P, Canales‐Rodríguez EJ, Cannon DM, Caseras X, Dandash O, Dannlowski U, Delvecchio G, Díaz‐Zuluaga AM, Erp TGM, Fatjó‐Vilas M, Foley SF, Förster K, Fullerton JM, Goikolea JM, Grotegerd D, Gruber O, Haarman BCM, Haatveit B, Hajek T, Hallahan B, Harris M, Hawkins EL, Howells FM, Hülsmann C, Jahanshad N, Jørgensen KN, Kircher T, Krämer B, Krug A, Kuplicki R, Lagerberg TV, Lancaster TM, Lenroot RK, Lonning V, López‐Jaramillo C, Malt UF, McDonald C, McIntosh AM, McPhilemy G, Meer D, Melle I, Melloni EMT, Mitchell PB, Nabulsi L, Nenadić I, Oertel V, Oldani L, Opel N, Otaduy MCG, Overs BJ, Pineda‐Zapata JA, Pomarol‐Clotet E, Radua J, Rauer L, Redlich R, Repple J, Rive MM, Roberts G, Ruhe HG, Salminen LE, Salvador R, Sarró S, Savitz J, Schene AH, Sim K, Soeiro‐de‐Souza MG, Stäblein M, Stein DJ, Stein F, Tamnes CK, Temmingh HS, Thomopoulos SI, Veltman DJ, Vieta E, Waltemate L, Westlye LT, Whalley HC, Sämann PG, Thompson PM, Ching CRK, Andreassen OA, Agartz I. In vivo hippocampal subfield volumes in bipolar disorder—A mega‐analysis from The Enhancing Neuro Imaging Genetics through
Meta‐Analysis
Bipolar Disorder Working Group. Hum Brain Mapp 2020; 43:385-398. [PMID: 33073925 PMCID: PMC8675404 DOI: 10.1002/hbm.25249] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 09/18/2020] [Accepted: 10/06/2020] [Indexed: 01/02/2023] Open
Abstract
The hippocampus consists of anatomically and functionally distinct subfields that may be differentially involved in the pathophysiology of bipolar disorder (BD). Here we, the Enhancing NeuroImaging Genetics through Meta‐Analysis Bipolar Disorder workinggroup, study hippocampal subfield volumetry in BD. T1‐weighted magnetic resonance imaging scans from 4,698 individuals (BD = 1,472, healthy controls [HC] = 3,226) from 23 sites worldwide were processed with FreeSurfer. We used linear mixed‐effects models and mega‐analysis to investigate differences in hippocampal subfield volumes between BD and HC, followed by analyses of clinical characteristics and medication use. BD showed significantly smaller volumes of the whole hippocampus (Cohen's d = −0.20), cornu ammonis (CA)1 (d = −0.18), CA2/3 (d = −0.11), CA4 (d = −0.19), molecular layer (d = −0.21), granule cell layer of dentate gyrus (d = −0.21), hippocampal tail (d = −0.10), subiculum (d = −0.15), presubiculum (d = −0.18), and hippocampal amygdala transition area (d = −0.17) compared to HC. Lithium users did not show volume differences compared to HC, while non‐users did. Antipsychotics or antiepileptic use was associated with smaller volumes. In this largest study of hippocampal subfields in BD to date, we show widespread reductions in nine of 12 subfields studied. The associations were modulated by medication use and specifically the lack of differences between lithium users and HC supports a possible protective role of lithium in BD.
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Affiliation(s)
- Unn K. Haukvik
- Department of Adult Mental Health Institute of Clinical Medicine, University of Oslo Oslo Norway
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
| | - Tiril P. Gurholt
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
- Department of Psychiatric Research Diakonhjemmet Hospital Oslo Norway
| | - Stener Nerland
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
- Department of Psychiatric Research Diakonhjemmet Hospital Oslo Norway
| | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Department of Neurology Oslo University Hospital Oslo Norway
- Institute of Clinical Medicine University of Oslo Oslo Norway
| | - Theophilus N. Akudjedu
- Centre for Neuroimaging & Cognitive Genomics (NICOG) Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway Galway Ireland
- Institute of Medical Imaging & Visualisation Faculty of Health & Social Sciences, Bournemouth University Bournemouth UK
| | - Martin Alda
- Department of Psychiatry Dalhousie University Halifax Nova Scotia Canada
- National Institute of Mental Health Klecany Czech Republic
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
| | - Silvia Alonso‐Lana
- FIDMAG Germanes Hospitalàries Research Foundation CIBERSAM Barcelona Spain
| | - Jochen Bauer
- Institute of Clinical Radiology University of Münster Münster Germany
| | - Bernhard T. Baune
- Department of Psychiatry University of Münster Münster Germany
- Department of Psychiatry Melbourne Medical School, The University of Melbourne Melbourne Australia
- The Florey Institute of Neuroscience and Mental Health The University of Melbourne Parkville Australia
| | - Francesco Benedetti
- Psychiatry and Clinical Psychobiology Scientific Institute Ospedale San Raffaele Milan Italy
- University Vita‐Salute San Raffaele Milan Italy
| | - Michael Berk
- Deakin University IMPACT, the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health Geelong Victoria Australia
- Orygen, The National Centre of Excellence in Youth Mental Health and Centre for Youth Mental Health, the Department of Psychiatry and the Florey Institute for Neuroscience and Mental Health The University of Melbourne Melbourne Victoria Australia
| | - Francesco Bettella
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
| | - Erlend Bøen
- Psychosomatic and CL Psychiatry Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
| | - Caterina M. Bonnín
- Barcelona Bipolar Disorders and Depressive Unit Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM Barcelona Spain
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milan Italy
- Department of Pathophysiology and Transplantation University of Milan Milan Italy
| | | | - Dara M. Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG) Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway Galway Ireland
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and Genomics, Department of Psychological Medicine and Clinical Neurosciences Cardiff University Cardiff UK
| | - Orwa Dandash
- Brain, Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological Sciences Monash University Clayton Victoria Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry University of Melbourne and Melbourne Health Melbourne Victoria Australia
| | - Udo Dannlowski
- Department of Psychiatry University of Münster Münster Germany
| | - Giuseppe Delvecchio
- Department of Pathophysiology and Transplantation University of Milan Milan Italy
| | - Ana M. Díaz‐Zuluaga
- Research Group in Psychiatry, Department of Psychiatry Faculty of Medicine, Universidad de Antioquia Medellín Antioquia Colombia
| | - Theo G. M. Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior University of California Irvine Irvine California USA
- Center for the Neurobiology of Learning University of California Irvine and Memory Irvine California USA
| | - Mar Fatjó‐Vilas
- FIDMAG Germanes Hospitalàries Research Foundation CIBERSAM Barcelona Spain
| | - Sonya F. Foley
- Cardiff University Brain Research Imaging Centre (CUBRIC) Cardiff University Cardiff UK
| | | | - Janice M. Fullerton
- Neuroscience Research Australia Randwick New South Wales Australia
- School of Medical Sciences The University of New South Wales Sydney New South Wales Australia
| | - José M. Goikolea
- Barcelona Bipolar Disorders and Depressive Unit Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM Barcelona Spain
| | | | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry Heidelberg University Hospital Heidelberg Germany
| | - Bartholomeus C. M. Haarman
- Department of Psychiatry University Medical Center Groningen, University of Groningen Groningen The Netherlands
| | - Beathe Haatveit
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
| | - Tomas Hajek
- Department of Psychiatry Dalhousie University Halifax Nova Scotia Canada
- National Institute of Mental Health Klecany Czech Republic
| | - Brian Hallahan
- Centre for Neuroimaging & Cognitive Genomics (NICOG) Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway Galway Ireland
| | - Mathew Harris
- Division of Psychiatry University of Edinburgh Edinburgh UK
| | | | - Fleur M. Howells
- Department of Psychiatry and Mental Health University of Cape Town Cape Town Western Cape South Africa
- Neuroscience Institute University of Cape Town Cape Town Western Cape South Africa
| | - Carina Hülsmann
- Department of Psychiatry University of Münster Münster Germany
| | - Neda Jahanshad
- Imaging Genetics Center USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California Marina del Rey California USA
| | - Kjetil N. Jørgensen
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
- Department of Psychiatric Research Diakonhjemmet Hospital Oslo Norway
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy Philipps‐University Marburg Marburg Germany
- Center for Mind Brain and Behavior (CMBB) Marburg Germany
| | - Bernd Krämer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry Heidelberg University Hospital Heidelberg Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy Philipps‐University Marburg Marburg Germany
- Center for Mind Brain and Behavior (CMBB) Marburg Germany
- Department of Psychiatry and Psychotherapy University of Bonn Bonn Germany
| | - Rayus Kuplicki
- Laureate Institute for Brain Research Tulsa Oklahoma USA
| | - Trine V. Lagerberg
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
| | - Thomas M. Lancaster
- Cardiff University Brain Research Imaging Centre (CUBRIC) Cardiff University Cardiff UK
- School of Psychology Bath University Bath UK
| | - Rhoshel K. Lenroot
- Neuroscience Research Australia Randwick New South Wales Australia
- School of Psychiatry University of New South Wales Sydney New South Wales Australia
- University of New Mexico Albuquerque New Mexico USA
| | - Vera Lonning
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
- Department of Psychiatric Research Diakonhjemmet Hospital Oslo Norway
| | - Carlos López‐Jaramillo
- Research Group in Psychiatry, Department of Psychiatry Faculty of Medicine, Universidad de Antioquia Medellín Antioquia Colombia
- Mood Disorders Program Hospital Universitario San Vicente Fundación Medellín Antioquia Colombia
| | - Ulrik F. Malt
- Institute of Clinical Medicine University of Oslo Oslo Norway
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG) Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway Galway Ireland
| | | | - Genevieve McPhilemy
- Centre for Neuroimaging & Cognitive Genomics (NICOG) Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway Galway Ireland
| | - Dennis Meer
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
- School of Mental Health and Neuroscience Faculty of Health, Medicine and Life Sciences, Maastricht University Maastricht The Netherlands
| | - Ingrid Melle
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
| | - Elisa M. T. Melloni
- Psychiatry and Clinical Psychobiology Scientific Institute Ospedale San Raffaele Milan Italy
- University Vita‐Salute San Raffaele Milan Italy
| | - Philip B. Mitchell
- School of Psychiatry University of New South Wales Sydney New South Wales Australia
- Black Dog Institute Sydney New South Wales Australia
| | - Leila Nabulsi
- Centre for Neuroimaging & Cognitive Genomics (NICOG) Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway Galway Ireland
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy Philipps‐University Marburg Marburg Germany
- Center for Mind Brain and Behavior (CMBB) Marburg Germany
| | - Viola Oertel
- Department of Psychiatry Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt Frankfurt am Main Germany
| | - Lucio Oldani
- Department of Neurosciences and Mental Health Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Milan Italy
| | - Nils Opel
- Department of Psychiatry University of Münster Münster Germany
| | - Maria C. G. Otaduy
- LIM44, Department of Radiology and Oncology University of São Paulo São Paulo Brazil
| | - Bronwyn J. Overs
- Neuroscience Research Australia Randwick New South Wales Australia
| | - Julian A. Pineda‐Zapata
- Research Group in Psychiatry, Department of Psychiatry Faculty of Medicine, Universidad de Antioquia Medellín Antioquia Colombia
- Research Group Instituto de Alta Tecnología Médica Medellín Antioquia Colombia
| | | | - Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM Barcelona Spain
- Department of Psychosis Studies Institute of Psychiatry, Psychology and Neuroscience, King's College London London UK
- Department of Clinical Neuroscience Centre for Psychiatry Research, Karolinska Institutet Stockholm Sweden
| | - Lisa Rauer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry Heidelberg University Hospital Heidelberg Germany
| | - Ronny Redlich
- Department of Psychiatry University of Münster Münster Germany
| | - Jonathan Repple
- Department of Psychiatry University of Münster Münster Germany
| | - Maria M. Rive
- Psychiatry Amsterdam UMC, Location AMC Amsterdam The Netherlands
| | - Gloria Roberts
- School of Psychiatry University of New South Wales Sydney New South Wales Australia
- Black Dog Institute Sydney New South Wales Australia
| | - Henricus G. Ruhe
- Psychiatry Amsterdam UMC, Location AMC Amsterdam The Netherlands
- Donders Institute for Brain, Cognition and Behavior Radboud University Nijmegen The Netherlands
- Department of Psychiatry Radboudumc Nijmegen The Netherlands
| | - Lauren E. Salminen
- Imaging Genetics Center USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California Marina del Rey California USA
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation CIBERSAM Barcelona Spain
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research Foundation CIBERSAM Barcelona Spain
| | - Jonathan Savitz
- Laureate Institute for Brain Research Tulsa Oklahoma USA
- Oxley College of Health Sciences The University of Tulsa Tulsa Oklahoma USA
| | - Aart H. Schene
- Donders Institute for Brain, Cognition and Behavior Radboud University Nijmegen The Netherlands
- Department of Psychiatry Radboudumc Nijmegen The Netherlands
| | - Kang Sim
- West Region/Institute of Mental Health Singapore Singapore
- Yong Loo Lin School of Medicine/National University of Singapore Singapore Singapore
- Lee Kong Chian School of Medicine/Nanyang Technological University Singapore Singapore
| | | | - Michael Stäblein
- Department of Psychiatry Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt Frankfurt am Main Germany
| | - Dan J. Stein
- Department of Psychiatry and Mental Health University of Cape Town Cape Town Western Cape South Africa
- Neuroscience Institute University of Cape Town Cape Town Western Cape South Africa
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute University of Cape Town Cape Town Western Cape South Africa
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy Philipps‐University Marburg Marburg Germany
- Center for Mind Brain and Behavior (CMBB) Marburg Germany
| | - Christian K. Tamnes
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
- Department of Psychiatric Research Diakonhjemmet Hospital Oslo Norway
- PROMENTA Research Center, Department of Psychology University of Oslo Oslo Norway
| | - Henk S. Temmingh
- Department of Psychiatry and Mental Health University of Cape Town Cape Town Western Cape South Africa
- General Adult Psychiatry Division Valkenberg Hospital Cape Town Western Cape South Africa
| | - Sophia I. Thomopoulos
- Imaging Genetics Center USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California Marina del Rey California USA
| | - Dick J. Veltman
- Department of Psychiatry Amsterdam UMC, Location VUMC Amsterdam The Netherlands
- Amsterdam Neuroscience Amsterdam UMC Amsterdam The Netherlands
| | - Eduard Vieta
- Hospital Clinic University of Barcelona, IDIBAPS, CIBERSAM Barcelona Catalonia Spain
| | - Lena Waltemate
- Department of Psychiatry University of Münster Münster Germany
| | - Lars T. Westlye
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Department of Psychology University of Oslo Oslo Norway
| | | | | | - Paul M. Thompson
- Imaging Genetics Center USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California Marina del Rey California USA
| | - Christopher R. K. Ching
- Imaging Genetics Center USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California Marina del Rey California USA
| | - Ole A. Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT) Division of Mental Health and Addiction, Oslo University Hospital Oslo Norway
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT) Institute of Clinical Medicine, University of Oslo Oslo Norway
- Department of Psychiatric Research Diakonhjemmet Hospital Oslo Norway
- Department of Clinical Neuroscience Centre for Psychiatric Research, Karolinska Institutet Stockholm Sweden
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86
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Sheffield JM, Huang AS, Rogers BP, Giraldo-Chica M, Landman BA, Blackford JU, Heckers S, Woodward ND. Thalamocortical Anatomical Connectivity in Schizophrenia and Psychotic Bipolar Disorder. Schizophr Bull 2020; 46:1062-1071. [PMID: 32219397 PMCID: PMC7505173 DOI: 10.1093/schbul/sbaa022] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Anatomical connectivity between the thalamus and cortex, including the prefrontal cortex (PFC), is abnormal in schizophrenia. Overlapping phenotypes, including deficits in executive cognitive abilities dependent on PFC-thalamic circuitry, suggest dysrupted thalamocortical anatomical connectivity may extend to psychotic bipolar disorder. We tested this hypothesis and examined the impact of illness stage to inform when in the illness course thalamocortical dysconnectivity emerges. METHODS Diffusion-weighted imaging data were collected on 70 healthy individuals and 124 people with a psychotic disorder (schizophrenia spectrum = 75; psychotic bipolar disorder = 49), including 62 individuals in the early stage of psychosis. Anatomical connectivity between major divisions of the cortex and thalamus was quantified using probabilistic tractography and compared between groups. Associations between PFC-thalamic anatomical connectivity and executive cognitive abilities were examined using regression analysis. RESULTS Psychosis was associated with lower PFC-thalamic and elevated somatosensory-thalamic anatomical connectivity. Follow-up analyses established that lower PFC-thalamic and elevated somatosensory-thalamic anatomical connectivity were present in both schizophrenia and psychotic bipolar disorder. Lower PFC-thalamic anatomical connectivity was also present in early-stage and chronic psychosis. Contrary to expectations, lower PFC-thalamic anatomical connectivity was not associated with impaired executive cognitive abilities. CONCLUSIONS Altered thalamocortical anatomical connectivity, especially reduced PFC-thalamic connectivity, is a transdiagnostic feature of psychosis detectable in the early stage of illness. Further work is required to elucidate the functional consequences of the full spectrum of thalamocortical connectivity abnormalities in psychosis.
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Affiliation(s)
- Julia M Sheffield
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, TN
| | - Anna S Huang
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, TN
| | - Baxter P Rogers
- Vanderbilt University Institute of Imaging Science, Nashville, TN
| | | | - Bennett A Landman
- Vanderbilt University Institute of Imaging Science, Nashville, TN
- Vanderbilt University School of Engineering, Nashville, TN
| | - Jennifer Urbano Blackford
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, TN
- Research and Development, Department of Veterans Affairs Medical Center, Nashville, TN
| | - Stephan Heckers
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, TN
| | - Neil D Woodward
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, TN
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87
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Xiu MH, Lang X, Chen DC, Cao B, Kosten TR, Cho RY, Shi H, Wei CW, Wu AS, Zhang XY. Cognitive Deficits and Clinical Symptoms with Hippocampal Subfields in First-Episode and Never-Treated Patients with Schizophrenia. Cereb Cortex 2020; 31:89-96. [PMID: 32901269 DOI: 10.1093/cercor/bhaa208] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2020] [Revised: 05/20/2020] [Accepted: 07/06/2020] [Indexed: 11/13/2022] Open
Abstract
Memory dysfunction and associated hippocampal disturbances play crucial roles in cognitive impairment of schizophrenia. To examine the relationships between cognitive function and the hippocampal subfields (HSs) in first-episode never-treated (FENT) schizophrenia patients, the HSs were segmented in 39 FENT patients and 30 healthy controls using a state-of the-art automated algorithm. We found no significant differences in any HSs between the patients and controls. However, multivariate regression analysis showed that the left cornu ammonis 1 (CA1), left hippocampal tail, left presubiculum, and right molecular layer contributed 40% to the variance of the PANSS negative symptom score. After adjusting for sex, age, education, and intracranial volume, the partial correlation analysis showed that the volumes of left CA1, CA3, CA4, molecular layer, granule cell layer and both left and right subiculum were negatively correlated with the MATRICS consensus cognitive battery (MCCB) Hopkins Verbal Learning Test (HVLT). Multiple regression analysis showed that the left CA1 and CA3 hippocampal abnormalities contributed 66% to the variance of the HVLT. Our results suggest no detectable HS deficits were found in FENT schizophrenia patients. However, the HSs may be involved in the symptoms and cognitive deficits of schizophrenia patients in the early phase of their illness.
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Affiliation(s)
- Mei Hong Xiu
- Beijing HuiLongGuan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, 100096, China
| | - XiaoE Lang
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, 03000, China
| | - Da Chun Chen
- Beijing HuiLongGuan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, 100096, China
| | - Bo Cao
- Department of Psychiatry, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, T6G 2B7, Canada
| | - Thomas R Kosten
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Raymond Y Cho
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Hui Shi
- Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Chang Wei Wei
- Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - An Shi Wu
- Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Xiang Yang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100101, China
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88
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Differentiating patients with schizophrenia from healthy controls by hippocampal subfields using radiomics. Schizophr Res 2020; 223:337-344. [PMID: 32988740 DOI: 10.1016/j.schres.2020.09.009] [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] [Received: 04/19/2020] [Revised: 08/11/2020] [Accepted: 09/14/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND Accurately diagnosing schizophrenia is still challenging due to the lack of validated biomarkers. Here, we aimed to investigate whether radiomic features in bilateral hippocampal subfields from magnetic resonance images (MRIs) can differentiate patients with schizophrenia from healthy controls (HCs). METHODS A total of 152 participants with MRI (86 schizophrenia and 66 HCs) were allocated to training (n = 106) and test (n = 46) sets. Radiomic features (n = 642) from the bilateral hippocampal subfields processed with automatic segmentation techniques were extracted from T1-weighted MRIs. After feature selection, various combinations of classifiers (logistic regression, extra-trees, AdaBoost, XGBoost, or support vector machine) and subsampling were trained. The performance of the classifier was validated in the test set by determining the area under the curve (AUC). Furthermore, the association between selected radiomic features and clinical symptoms in schizophrenia was assessed. RESULTS Thirty radiomic features were identified to differentiate participants with schizophrenia from HCs. In the training set, the AUC exhibited poor to good performance (range: 0.683-0.861). The best performing radiomics model in the test set was achieved by the mutual information feature selection and logistic regression with an AUC, accuracy, sensitivity, and specificity of 0.821 (95% confidence interval 0.681-0.961), 82.1%, 76.9%, and 70%, respectively. Greater maximum values in the left cornu ammonis 1-3 subfield were associated with a higher severity of positive symptoms and general psychopathology in participants with schizophrenia. CONCLUSION Radiomic features from hippocampal subfields may be useful biomarkers for identifying schizophrenia.
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89
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Sahakyan L, Meller T, Evermann U, Schmitt S, Pfarr JK, Sommer J, Kwapil TR, Nenadić I. Anterior vs Posterior Hippocampal Subfields in an Extended Psychosis Phenotype of Multidimensional Schizotypy in a Nonclinical Sample. Schizophr Bull 2020; 47:207-218. [PMID: 32691055 PMCID: PMC8208318 DOI: 10.1093/schbul/sbaa099] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Numerous studies have implicated involvement of the hippocampus in the etiology and expression of schizophrenia-spectrum psychopathology, and reduced hippocampal volume is one of the most robust brain abnormalities reported in schizophrenia. Recent studies indicate that early stages of schizophrenia are specifically characterized by reductions in anterior hippocampal volume; however, studies have not examined hippocampal volume reductions in subclinical schizotypy. The present study was the first to examine the associations of positive, negative, and disorganized schizotypy dimensions with hippocampal subfield volumes in a large sample (n = 195) of nonclinically ascertained young adults, phenotyped using the Multidimensional Schizotypy Scale (MSS). Hippocampal subfields were analyzed from high-resolution 3 Tesla structural magnetic resonance imaging scans testing anatomical models, including anterior vs posterior regions and the cornu ammonis (CA), dentate gyrus (DG), and subiculum subfields separately for the left and right hemispheres. We demonstrate differential spatial effects across anterior vs posterior hippocampus segments across different dimensions of the schizotypy risk phenotype. The interaction of negative and disorganized schizotypy robustly predicted left hemisphere volumetric reductions for the anterior and total hippocampus, and anterior CA and DG, and the largest reductions were seen in participants high in negative and disorganized schizotypy. These findings extend previous early psychosis studies and together with behavioral studies of hippocampal-related memory impairments provide the basis for a dimensional neurobiological hippocampal model of schizophrenia risk. Subtle hippocampal subfield volume reductions may be prevalent prior to the onset of detectable prodromal clinical symptoms of psychosis and play a role in the etiology and development of such conditions.
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Affiliation(s)
- Lili Sahakyan
- Department of Psychology and Beckman Institute for Advanced Science and
Technology, University of Illinois, Champaign, IL
| | - Tina Meller
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy,
Philipps-University Marburg, Marburg, Germany,Center for Mind, Brain, and Behavior (CMBB), Marburg, Germany
| | - Ulrika Evermann
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy,
Philipps-University Marburg, Marburg, Germany,Center for Mind, Brain, and Behavior (CMBB), Marburg, Germany
| | - Simon Schmitt
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy,
Philipps-University Marburg, Marburg, Germany,Center for Mind, Brain, and Behavior (CMBB), Marburg, Germany
| | - Julia-Katharina Pfarr
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy,
Philipps-University Marburg, Marburg, Germany,Center for Mind, Brain, and Behavior (CMBB), Marburg, Germany
| | - Jens Sommer
- Core Facility BrainImaging, School of Medicine, Philipps-University
Marburg, Marburg, Germany
| | - Thomas R Kwapil
- Department of Psychology and Beckman Institute for Advanced Science and
Technology, University of Illinois, Champaign, IL
| | - Igor Nenadić
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy,
Philipps-University Marburg, Marburg, Germany,Center for Mind, Brain, and Behavior (CMBB), Marburg, Germany,To whom correspondence should be addressed; Department of Psychiatry and
Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg,
Germany; tel: +49-6421-58-65002, fax: +49-6421-58-68939, e-mail:
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90
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van Eijk L, Hansell NK, Strike LT, Couvy-Duchesne B, de Zubicaray GI, Thompson PM, McMahon KL, Zietsch BP, Wright MJ. Region-specific sex differences in the hippocampus. Neuroimage 2020; 215:116781. [DOI: 10.1016/j.neuroimage.2020.116781] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 02/12/2020] [Accepted: 03/27/2020] [Indexed: 01/11/2023] Open
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91
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Goltermann J, Opel N, Redlich R, Repple J, Kaehler C, Grotegerd D, Dohm K, Leehr EJ, Böhnlein J, Förster K, Meinert S, Enneking V, Emden D, Leenings R, Winter NR, Hahn T, Mikhail S, Jansen A, Krug A, Nenadić I, Rietschel M, Witt SH, Heilmann-Heimbach S, Hoffmann P, Forstner AJ, Nöthen MM, Baune BT, Kircher T, Dannlowski U. Replication of a hippocampus specific effect of the tescalcin regulating variant rs7294919 on gray matter structure. Eur Neuropsychopharmacol 2020; 36:10-17. [PMID: 32451266 DOI: 10.1016/j.euroneuro.2020.03.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2019] [Revised: 03/09/2020] [Accepted: 03/27/2020] [Indexed: 10/24/2022]
Abstract
While the hippocampus remains a region of high interest for neuropsychiatric research, the precise contributors to hippocampal morphometry are still not well understood. We and others previously reported a hippocampus specific effect of a tescalcin gene (TESC) regulating single nucleotide polymorphism (rs7294919) on gray matter volume. Here we aimed to replicate and extend these findings. Two complementary morphometric approaches (voxel based morphometry (VBM) and automated volumetric segmentation) were applied in a well-powered cohort from the Marburg-Münster Affective Disorder Cohort Study (MACS) including N=1137 participants (n=636 healthy controls, n=501 depressed patients). rs7294919 homozygous T-allele genotype was significantly associated with lower hippocampal gray matter density as well as with reduced hippocampal volume. Exploratory whole brain VBM analyses revealed no further associations with gray matter volume outside the hippocampus. No interaction effects of rs7294919 with depression nor with childhood trauma on hippocampal morphometry could be detected. Hippocampal subfield analyses revealed similar effects of rs7294919 in all hippocampal subfields. In sum, our results replicate a hippocampus specific effect of rs7294919 on brain structure. Due to the robust evidence for a pronounced association between the reported polymorphism and hippocampal morphometry, future research should consider investigating the potential clinical and functional relevance of the reported association.
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Affiliation(s)
- Janik Goltermann
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Nils Opel
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany; Interdisciplinary Centre for Clinical Research (IZKF), University of Mü̈nster, Münster, Germany
| | - Ronny Redlich
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Jonathan Repple
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Claas Kaehler
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany; Department of Mathematics and Computer Science, University of Münster, Germany
| | - Dominik Grotegerd
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Katharina Dohm
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Elisabeth J Leehr
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Joscha Böhnlein
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Katharina Förster
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Susanne Meinert
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Verena Enneking
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Daniel Emden
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Ramona Leenings
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Nils R Winter
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Tim Hahn
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Sami Mikhail
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Andreas Jansen
- Department of Psychiatry, University of Marburg, Germany
| | - Axel Krug
- Department of Psychiatry, University of Marburg, Germany
| | - Igor Nenadić
- Department of Psychiatry, University of Marburg, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany; Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany; Department of Biomedicine, University of Basel, Basel, Switzerland; Centre for Human Genetics, University of Marburg, Marburg, Germany; Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany; Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia; The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Tilo Kircher
- Department of Psychiatry, University of Marburg, Germany
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany.
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92
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Luckhoff HK, du Plessis S, Kilian S, Asmal L, Scheffler F, Phahladira L, Olivier RM, Emsley R. Hippocampal subfield volumes and change in body mass over 12 months of treatment in first-episode schizophrenia spectrum disorders. Psychiatry Res Neuroimaging 2020; 300:111084. [PMID: 32388386 DOI: 10.1016/j.pscychresns.2020.111084] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 04/01/2020] [Accepted: 04/03/2020] [Indexed: 02/07/2023]
Abstract
In this study, we explored the relationship between baseline hippocampal subfield volumes and change in body mass over 12 months of treatment in 90 first-episode schizophrenia spectrum disorder patients (66 males, 24 females; mean age= 24.7 ± 6.8 years). Body mass index was assessed in patients at baseline, and at months 3, 6, 9 and 12. Hippocampal subfields of interest were assessed at baseline using a segmentation algorithm included in the FreeSurfer 6.0 software program. Linear regression revealed a significant interactive effect between sex and anterior hippocampus size as predictors of change in body mass over 12 months, adjusting for age, substance use, and treatment duration. In an exploratory post-hoc sub-analysis, partial correlations showed a significant association between weight gain and smaller CA1, CA3 and subiculum volumes in females, but not males, adjusting for age and substance use, with similar trends evident for the CA4 and presubiculum subfields. In conclusion, our findings suggest that smaller anterior hippocampal subfields at baseline are associated with the development of weight gain over the course of treatment in first-episode schizophrenia spectrum disorders in a sex-specific fashion. This may be related to the greater increase in body mass evident for female patients in our study.
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Affiliation(s)
- H K Luckhoff
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7500, South Africa.
| | - S du Plessis
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7500, South Africa
| | - S Kilian
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7500, South Africa
| | - L Asmal
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7500, South Africa
| | - F Scheffler
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7500, South Africa
| | - L Phahladira
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7500, South Africa
| | - R M Olivier
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7500, South Africa
| | - R Emsley
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7500, South Africa
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93
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Kotov R, Jonas KG, Carpenter WT, Dretsch MN, Eaton NR, Forbes MK, Forbush KT, Hobbs K, Reininghaus U, Slade T, South SC, Sunderland M, Waszczuk MA, Widiger TA, Wright A, Zald DH, Krueger RF, Watson D. Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): I. Psychosis superspectrum. World Psychiatry 2020; 19:151-172. [PMID: 32394571 PMCID: PMC7214958 DOI: 10.1002/wps.20730] [Citation(s) in RCA: 135] [Impact Index Per Article: 33.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) is a scientific effort to address shortcomings of traditional mental disorder diagnoses, which suffer from arbitrary boundaries between psychopathology and normality, frequent disorder co-occurrence, heterogeneity within disorders, and diagnostic instability. This paper synthesizes evidence on the validity and utility of the thought disorder and detachment spectra of HiTOP. These spectra are composed of symptoms and maladaptive traits currently subsumed within schizophrenia, other psychotic disorders, and schizotypal, paranoid and schizoid personality disorders. Thought disorder ranges from normal reality testing, to maladaptive trait psychoticism, to hallucinations and delusions. Detachment ranges from introversion, to maladaptive detachment, to blunted affect and avolition. Extensive evidence supports the validity of thought disorder and detachment spectra, as each spectrum reflects common genetics, environmental risk factors, childhood antecedents, cognitive abnormalities, neural alterations, biomarkers, and treatment response. Some of these characteristics are specific to one spectrum and others are shared, suggesting the existence of an overarching psychosis superspectrum. Further research is needed to extend this model, such as clarifying whether mania and dissociation belong to thought disorder, and explicating processes that drive development of the spectra and their subdimensions. Compared to traditional diagnoses, the thought disorder and detachment spectra demonstrated substantially improved utility: greater reliability, larger explanatory and predictive power, and higher acceptability to clinicians. Validated measures are available to implement the system in practice. The more informative, reliable and valid characterization of psychosis-related psychopathology offered by HiTOP can make diagnosis more useful for research and clinical care.
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Affiliation(s)
- Roman Kotov
- Department of PsychiatryStony Brook UniversityStony BrookNYUSA
| | | | | | - Michael N. Dretsch
- Walter Reed Army Institute of Research, US Army Medical Research Directorate ‐ WestSilver SpringMDUSA
| | | | | | | | - Kelsey Hobbs
- Department of PsychologyUniversity of MinnesotaMinneapolisMNUSA
| | - Ulrich Reininghaus
- Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty MannheimUniversity of HeidelbergGermany,ESRC Centre for Society and Mental HealthKing's College LondonLondonUK,Centre for Epidemiology and Public HealthInstitute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUK
| | - Tim Slade
- Matilda Centre for Research in Mental Health and Substance AbuseUniversity of SydneySydneyNSWAustralia
| | - Susan C. South
- Department of Psychological SciencesPurdue UniversityWest LafayetteINUSA
| | - Matthew Sunderland
- Matilda Centre for Research in Mental Health and Substance AbuseUniversity of SydneySydneyNSWAustralia
| | | | | | | | - David H. Zald
- Department of PsychologyVanderbilt UniversityNashvilleTNUSA
| | | | - David Watson
- Department of PsychologyUniversity of Notre DameSouth BendINUSA
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94
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Nakahara S, Stark CE, Turner JA, Calhoun VD, Lim KO, Mueller B, Bustillo JR, O’Leary DS, McEwen S, Voyvodic J, Belger A, Mathalon DH, Ford JM, Macciardi F, Matsumoto M, Potkin SG, van Erp TG. Dentate gyrus volume deficit in schizophrenia. Psychol Med 2020; 50:1267-1277. [PMID: 31155012 PMCID: PMC7068799 DOI: 10.1017/s0033291719001144] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND Schizophrenia is associated with robust hippocampal volume deficits but subregion volume deficits, their associations with cognition, and contributing genes remain to be determined. METHODS Hippocampal formation (HF) subregion volumes were obtained using FreeSurfer 6.0 from individuals with schizophrenia (n = 176, mean age ± s.d. = 39.0 ± 11.5, 132 males) and healthy volunteers (n = 173, mean age ± s.d. = 37.6 ± 11.3, 123 males) with similar mean age, gender, handedness, and race distributions. Relationships between the HF subregion volume with the largest between group difference, neuropsychological performance, and single-nucleotide polymorphisms were assessed. RESULTS This study found a significant group by region interaction on hippocampal subregion volumes. Compared to healthy volunteers, individuals with schizophrenia had significantly smaller dentate gyrus (DG) (Cohen's d = -0.57), Cornu Ammonis (CA) 4, molecular layer of the hippocampus, hippocampal tail, and CA 1 volumes, when statistically controlling for intracranial volume; DG (d = -0.43) and CA 4 volumes remained significantly smaller when statistically controlling for mean hippocampal volume. DG volume showed the largest between group difference and significant positive associations with visual memory and speed of processing in the overall sample. Genome-wide association analysis with DG volume as the quantitative phenotype identified rs56055643 (β = 10.8, p < 5 × 10-8, 95% CI 7.0-14.5) on chromosome 3 in high linkage disequilibrium with MOBP. Gene-based analyses identified associations between SLC25A38 and RPSA and DG volume. CONCLUSIONS This study suggests that DG dysfunction is fundamentally involved in schizophrenia pathophysiology, that it may contribute to cognitive abnormalities in schizophrenia, and that underlying biological mechanisms may involve contributions from MOBP, SLC25A38, and RPSA.
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Affiliation(s)
- Soichiro Nakahara
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, 92617, United States
- Unit 2, Candidate Discovery Science Labs, Drug Discovery Research, Astellas Pharma Inc, 21, Miyukigaoka, Tsukuba, Ibaraki 305-8585, Japan
| | - Craig E.L. Stark
- Department of Neurobiology and Behavior, University of California Irvine, Irvine, CA, 92697, United States
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine, CA, 92697, United States
| | - Jessica A. Turner
- Departments of Psychology and Neuroscience, Georgia State University, Atlanta, GA, 30302, United States
- Mind Research Network, Albuquerque, NM, 87106, United States
| | - Vince D. Calhoun
- Mind Research Network, Albuquerque, NM, 87106, United States
- Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, 87131, United States
- Departments of Psychiatry & Neuroscience, University of New Mexico, Albuquerque, NM, 87131, United States
| | - Kelvin O. Lim
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, 55454, United States
| | - Bryon Mueller
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, 55454, United States
| | - Juan R. Bustillo
- Departments of Psychiatry & Neuroscience, University of New Mexico, Albuquerque, NM, 87131, United States
| | - Daniel S. O’Leary
- Department of Psychiatry, University of Iowa, Iowa City, IA, 52242, United States
| | - Sarah McEwen
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, 92093, United States
| | - James Voyvodic
- Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, 27710, United States
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, United States
| | - Daniel H. Mathalon
- Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94143, United States
- Veterans Affairs San Francisco Healthcare System, San Francisco, CA, 94121, United States
| | - Judith M. Ford
- Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94143, United States
- Veterans Affairs San Francisco Healthcare System, San Francisco, CA, 94121, United States
| | - Fabio Macciardi
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, 92617, United States
| | - Mitsuyuki Matsumoto
- Unit 2, Candidate Discovery Science Labs, Drug Discovery Research, Astellas Pharma Inc, 21, Miyukigaoka, Tsukuba, Ibaraki 305-8585, Japan
| | - Steven G. Potkin
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, 92617, United States
| | - Theo G.M. van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, 92617, United States
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine, CA, 92697, United States
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95
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Hu N, Sun H, Fu G, Zhang W, Xiao Y, Zhang L, Li W, Li Z, Huang G, Tan Y, Sweeney JA, Gong Q, Lui S. Anatomic abnormalities of hippocampal subfields in never-treated and antipsychotic-treated patients with long-term schizophrenia. Eur Neuropsychopharmacol 2020; 35:39-48. [PMID: 32402652 DOI: 10.1016/j.euroneuro.2020.03.020] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 03/17/2020] [Accepted: 03/27/2020] [Indexed: 02/08/2023]
Abstract
Hippocampal volume deficits have been reported in chronically-treated schizophrenia patients, however, the longer-term effects of antipsychotic medications on hippocampal anatomy are unclear. This case-control study investigated volume differences in hippocampal subfields of never-treated and antipsychotic-treated patients with long-term schizophrenia. High spatial-resolution T1-weighted magnetic resonance images were collected from 29 never-treated and 40 antipsychotic-treated patients with long-term schizophrenia matched for illness duration (all ≥ 5 years), and 40 demographically-matched healthy controls. Hippocampal subfield volumes were measured using FreeSurfer v6.0, compared across groups and between hemispheres, and correlated with clinical features. Volume reductions were found in both patient groups compared to healthy controls in 8 of 26 hippocampal subfields (Cohen's d = 0.46 - 1.17, P = < .001 - .03), and more diffusely and obviously in never-treated than treated patients (Cohen's d = 0.50 - 0.90, P = < .001 - .04). Greater right-than-left volumes were seen in treated patients and healthy controls in 11 of 13 subfields (T = 2.30 - 7.29, P = < .001 - .03), but not in never-treated patients, in whom the volumes were reduced more on the right than on the left. Subfield volumes were negatively correlated with symptom severity and illness duration, and declined with age in never-treated patients. Findings indicate clinically-relevant and age-related volume reductions in hippocampal subfields of never-treated patients with long-term schizophrenia. Broader and greater subfield deficits in never-treated than treated patients, especially in the right hippocampus, suggest that long-term antipsychotic treatment may benefit hippocampal structures over the longer-term course of illness.
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Affiliation(s)
- Na Hu
- Department of Radiology, West China Hospital of Sichuan University, No 37, Guoxue Alley, Chengdu 610041, China; Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Huaiqiang Sun
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Gui Fu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Wenjing Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Yuan Xiao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Lianqing Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Wenbin Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Zhe Li
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
| | - Guoping Huang
- Department of Psychiatry, The Mental Health Center of Sichuan, Mianyang, China
| | - Youguo Tan
- Department of Psychiatry, Zigong Mental Health Center, Zigong, China
| | - John A Sweeney
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Su Lui
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
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96
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Xiao Q, Zhong Y, Jiao Q, Lu G, Su Y. Gray matter voxel-based morphometry in mania and remission states of children with bipolar disorder. J Affect Disord 2020; 268:47-54. [PMID: 32158006 DOI: 10.1016/j.jad.2020.02.042] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Revised: 02/07/2020] [Accepted: 02/26/2020] [Indexed: 01/14/2023]
Abstract
BACKGROUND It has been found by many studies that gray matter (GM) abnormalities exist in both adults and children with bipolar disorder (PBD) which is a serious mental illness characterized by alternating episodes of mania and depression. However, there are few studies on the comparison between brain imaging of different mood states shown by patients with bipolar disorder. This study is aimed at exploring the differences existing in brain structures between children with bipolar disorder and that of healthy controls, and then it tries to further explore whether there is a structural difference between the states of mania and remission in children with bipolar disorder. METHODS 21 PBD-mania subjects, 19 PBD-remission subjects and 18 control subjects aged 12-17 years old were engaged in this study. In the present study, magnetic resonance imaging was obtained by employing a Siemens 3.0 T scanner. With regard to the volumes of gray matter in the mania group, remission group and healthy control group, analysis was carried out by using voxel-based morphometry (VBM). Further analysis was conducted on the correlation between MRI data and clinical features of patients with PBD. RESULTS In comparison with the healthy control subjects, the gray matter volume measured from the left hippocampus, parahippocampal gyrus and amygdala in both manic and euthymic groups showed a decreasing trend, while the volume of left orbitofrontal cortex increased. However, no significant difference in volumes was found between BD manic and euthymic groups. It was observed that the volume of orbitofrontal cortex had a positive correlation with onset age in PBD euthymic group. CONCLUSIONS Our study came to the conclusion that extensive brain structural changes are available in patients with PBD. The brain regions with structural changes are distributed in the anterior limbic network (ALN), which has been proved to have been involved in the abnormal emotional and cognitive regulation of PBD. However, there is no difference in the volumes of gray matter between mania and remission in PBD .
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Affiliation(s)
- Qian Xiao
- Mental Health Centre of Xiangya Hospital, Central South University, Changsha 410008, Hunan, China.
| | - Yuan Zhong
- School of Psychology, Nanjing Normal University, Nanjing 210097,China; Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China
| | - Qing Jiao
- Department of Radiology, Taishan Medical University, Taian 271016, China
| | - Guangming Lu
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, China.
| | - Yi Su
- Child Language Lab, School of Foreign Languages, Central South University, Changsha, Hunan 410083, China.
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97
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Tannous J, Godlewska BR, Tirumalaraju V, Soares JC, Cowen PJ, Selvaraj S. Stress, inflammation and hippocampal subfields in depression: A 7 Tesla MRI Study. Transl Psychiatry 2020; 10:78. [PMID: 32098947 PMCID: PMC7042360 DOI: 10.1038/s41398-020-0759-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 12/03/2019] [Accepted: 01/02/2020] [Indexed: 11/25/2022] Open
Abstract
Experiencing stressful events throughout one's life, particularly childhood trauma, increases the likelihood of being diagnosed with Major Depressive Disorder (MDD). Raised levels of cortisol, and markers of inflammation such as Interleukin (IL-6) and C-reactive protein (CRP), have been linked to both early life stress and MDD. We aimed to explore the biological stress signatures of early stress and MDD on hippocampal sub regional volumes using 7 Tesla MRI imaging. A cohort of 71 MDD patients was compared against 46 age and sex-matched healthy volunteers. MDD subjects had higher averages of IL-6 and CRP levels. These differences were significant for IL-6 levels and trended for CRP. There were no significant group differences in any of the hippocampal subfields or global hippocampal volumes; further, there were no hippocampal subfield differences between MDD subjects with high levels of our biological stress measures and MDDs with normal levels.
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Affiliation(s)
- Jonika Tannous
- grid.267308.80000 0000 9206 2401Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, Texas USA
| | - Beata R. Godlewska
- grid.4991.50000 0004 1936 8948Department of Psychiatry, University of Oxford, Oxford, OX3 7JX United Kingdom
| | - Vaishali Tirumalaraju
- grid.267308.80000 0000 9206 2401Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, Texas USA
| | - Jair C. Soares
- grid.267308.80000 0000 9206 2401Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, Texas USA
| | - Phil J. Cowen
- grid.4991.50000 0004 1936 8948Department of Psychiatry, University of Oxford, Oxford, OX3 7JX United Kingdom
| | - Sudhakar Selvaraj
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, Texas, USA.
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98
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du Plessis S, Scheffler F, Luckhoff H, Asmal L, Kilian S, Phahladira L, Emsley R. Childhood trauma and hippocampal subfield volumes in first-episode schizophrenia and healthy controls. Schizophr Res 2020; 215:308-313. [PMID: 31653582 DOI: 10.1016/j.schres.2019.10.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 09/29/2019] [Accepted: 10/06/2019] [Indexed: 12/20/2022]
Abstract
Childhood trauma and schizophrenia are both associated with neuroanatomical abnormalities in the hippocampus, a stress-sensitive structure vulnerable to developmental insults. However, few studies have evaluated the effects of childhood trauma exposure on hippocampal morphometry in minimally treated first-episode schizophrenia patients. Here we aim to investigate the associations of childhood trauma with hippocampal subfield volumes in a cohort of antipsychotic-naive or minimally treated first-episode schizophrenia spectrum disorder patients and matched controls. 79 patients with first-episode schizophrenia spectrum disorder and 82 matched controls completed the childhood trauma questionnaire and underwent MRI assessment. Hippocampal subfields were reconstructed using FreeSurfer 6.0. We considered inter-correlations between the various subfields, by entering them as dependent variables into a multivariate analysis of co-variance (MANCOVA), modeling for interactions between diagnosis, childhood trauma total score and gender while controlling for substance use, scanner sequence and age. MANCOVA revealed a significant interaction between sex, childhood trauma total scores and diagnosis across hippocampal sub-regions (p = 0.012). Bonferroni corrected post-hoc analysis revealed a significant sex*diagnosis*childhood trauma score interaction for the hippocampal fissure (F(1,161) = 9.485,p = .002). Hippocampal fissure size showed a positive relationship with CA structures as well as whole hippocampal size in the larger sample. Findings from the present study suggest that childhood trauma exposure exerts illness-specific effects on hippocampal structures in female patients with first-episode schizophrenia, consistent with increased stress sensitivity in this group.
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Affiliation(s)
- Stéfan du Plessis
- Department of Psychiatry, Stellenbosch University, Republic of South Africa.
| | | | - Hilmar Luckhoff
- Department of Psychiatry, Stellenbosch University, Republic of South Africa
| | - Laila Asmal
- Department of Psychiatry, Stellenbosch University, Republic of South Africa
| | - Sanja Kilian
- Department of Psychiatry, Stellenbosch University, Republic of South Africa
| | | | - Robin Emsley
- Department of Psychiatry, Stellenbosch University, Republic of South Africa
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99
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Hinney B, Walter A, Aghlmandi S, Andreou C, Borgwardt S. Does Hippocampal Volume Predict Transition to Psychosis in a High-Risk Group? A Meta-Analysis. Front Psychiatry 2020; 11:614659. [PMID: 33519555 PMCID: PMC7840882 DOI: 10.3389/fpsyt.2020.614659] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 12/14/2020] [Indexed: 01/11/2023] Open
Abstract
Schizophrenia has a prodromal phase of several years in most patients, making it possible to identify patients at clinical high risk (CHR) for developing the disorder. So far, these individuals are identified based on clinical criteria alone, and there is no reliable biomarker for predicting the transition to psychosis. It is well-established that reductions in brain volume, especially in the hippocampus, are associated with schizophrenia. Therefore, hippocampal volume may serve as a biomarker for psychosis. Several studies have already investigated hippocampal volume in CHR groups. Based on these studies, the present meta-analysis compares the baseline left and right hippocampal volume of CHR patients who developed a psychosis with that of CHR patients without such a transition. Our results show no statistically significant effect of the hippocampal volume on the transition risk for psychosis.
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Affiliation(s)
- Bernd Hinney
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
| | - Anna Walter
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
| | - Soheila Aghlmandi
- Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel, Basel, Switzerland
| | - Christina Andreou
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
| | - Stefan Borgwardt
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
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100
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Tesli N, van der Meer D, Rokicki J, Storvestre G, Røsæg C, Jensen A, Hjell G, Bell C, Fischer-Vieler T, Tesli M, Andreassen OA, Melle I, Agartz I, Haukvik UK. Hippocampal subfield and amygdala nuclei volumes in schizophrenia patients with a history of violence. Eur Arch Psychiatry Clin Neurosci 2020; 270:771-782. [PMID: 31980898 PMCID: PMC7423802 DOI: 10.1007/s00406-020-01098-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Accepted: 01/13/2020] [Indexed: 12/27/2022]
Abstract
Schizophrenia (SCZ) is associated with an increased risk of violence compared to the general population. Previous studies have indicated smaller hippocampal and amygdala volumes in violent than non-violent psychotic patients. However, little is known about volumetric differences at the subdivision level of these structures. In the present study, hippocampal subfields and amygdala nuclei volumes were estimated with FreeSurfer from 3 T MRI of SCZ patients with (SCZ-V, n = 24) and without (SCZ-NV, n = 51) a history of severe violence and 90 healthy controls (HC). Volumetric differences between groups were explored with a general linear model covarying for confounders, in addition to follow-up analyses in patient groups controlling for clinical characteristics such as antipsychotic medication, duration of illness and illicit substance use. SCZ-V had smaller total hippocampal volume and smaller CA1, HATA, fimbria, and molecular layer of DG volumes compared to HC. Total amygdala volume together with basal nucleus, accessory basal nucleus, CTA, and paralaminar nucleus volumes were smaller in SCZ-V compared to HC. In SCZ-NV, compared to HC, the observed smaller volumes were limited to basal and paralaminar nucleus. There were no significant differences in hippocampal subfield and amygdala nuclei volumes between SCZ-V and SCZ-NV. Follow-up analyses showed that the results in patient groups were not affected by clinical characteristics. The results suggest that smaller hippocampal subfield and amygdala nuclei volumes may be relevant to violence risk in SCZ. However, the neurobiological signature of violence in SCZ should be further investigated in larger cohorts.
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Affiliation(s)
- Natalia Tesli
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital, Nydalen, P.O. Box 4956, 0424 Oslo, Norway ,Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Dennis van der Meer
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Jaroslav Rokicki
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,Department of Psychology, University of Oslo, Oslo, Norway
| | - Guttorm Storvestre
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,Department of Psychiatry, Ostfold Hospital Trust, Graalum, Norway
| | - Cato Røsæg
- Department of Psychiatry, Ostfold Hospital Trust, Graalum, Norway
| | - Arvid Jensen
- Department of Psychiatry, Ostfold Hospital Trust, Graalum, Norway
| | - Gabriela Hjell
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,Department of Psychiatry, Ostfold Hospital Trust, Graalum, Norway
| | - Christina Bell
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,Department of Psychiatry, Oslo University Hospital, Oslo, Norway
| | - Thomas Fischer-Vieler
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,Department of Psychiatry, Oslo University Hospital, Oslo, Norway
| | - Martin Tesli
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital, Nydalen, P.O. Box 4956, 0424 Oslo, Norway ,Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
| | - Ole A. Andreassen
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital, Nydalen, P.O. Box 4956, 0424 Oslo, Norway ,Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ingrid Melle
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital, Nydalen, P.O. Box 4956, 0424 Oslo, Norway ,Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Unn K. Haukvik
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital, Nydalen, P.O. Box 4956, 0424 Oslo, Norway ,Department of Adult Psychiatry, Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,Centre of Research and Education in Forensic Psychiatry, Oslo University Hospital, Oslo, Norway
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