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Buck T, Dong E, McCarthy M, Guidotti A, Sodhi M. Prenatal stress alters transcription of NMDA-type glutamate receptors in the hippocampus. Neurosci Lett 2024; 836:137886. [PMID: 38917870 DOI: 10.1016/j.neulet.2024.137886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 06/20/2024] [Accepted: 06/22/2024] [Indexed: 06/27/2024]
Abstract
Prenatal stress increases the risk of neurodevelopmental disorders. NMDA-type glutamate receptor (NMDAR) activity plays an important pathophysiological role in the cortico-hippocampal circuit in these disorders. We tested the hypothesis that transcription of NMDAR subunits is modified in the frontal cortex (FCx) and hippocampus after exposure to prenatal restraint stress (PRS) in mice. At 10 weeks of age, male PRS offspring (n = 20) and non-stressed controls (NS, n = 20) were treated with haloperidol (1 mg/kg), clozapine (5 mg/kg) or saline twice daily for 5 days, before measuring social approach (SOC). Saline-treated and haloperidol-treated PRS mice had reduced SOC relative to NS (P < 0.01), but clozapine-treated PRS mice had similar SOC to NS mice. These effects of PRS were associated with increased transcription of NMDAR subunits encoded by GRIN2A and GRIN2B genes in the hippocampus but not FCx. GRIN transcription in FCx correlated positively with SOC, but hippocampal GRIN transcription had negative correlation with SOC. The ratio of GRIN2A/GRIN2B transcription is known to increase during development but was lower in PRS mice. These results suggest that GRIN2A and GRIN2B transcript levels are modified in the hippocampus by PRS, leading to life-long deficits in social behavior. These data have some overlap with the molecular pathophysiology of schizophrenia. Similar to PRS in mice, schizophrenia, has been associated with social withdrawal, with increased GRIN2 expression in the hippocampus, and reduced GRIN2A/GRIN2B expression ratios in the hippocampus. These findings suggest that PRS in mice may have construct validity as a preclinical model for antipsychotic drug development.
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Affiliation(s)
- Tristram Buck
- Department of Molecular Pharmacology and Neuroscience, Stritch School of Medicine, Loyola University Chicago, Maywood, IL 60153, USA
| | - Erbo Dong
- Department of Physiology and Cell Biology, Ohio State University, Columbus, OH, USA
| | - Michael McCarthy
- Department of Molecular Pharmacology and Neuroscience, Stritch School of Medicine, Loyola University Chicago, Maywood, IL 60153, USA
| | - Alessandro Guidotti
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, USA
| | - Monsheel Sodhi
- Department of Molecular Pharmacology and Neuroscience, Stritch School of Medicine, Loyola University Chicago, Maywood, IL 60153, USA.
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2
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Gurok MG, Aksoy DB, Mermi O, Korkmaz S, Tabara MF, Yildirim H, Atmaca M. Hippocampus and amygdala volumes are reduced in patients with schizoaffective disorder. Psychiatry Res Neuroimaging 2024; 342:111840. [PMID: 38875767 DOI: 10.1016/j.pscychresns.2024.111840] [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: 03/21/2024] [Revised: 05/16/2024] [Accepted: 06/04/2024] [Indexed: 06/16/2024]
Abstract
We aimed to examine the hippocampus and amygdala volumes in patients with schizoaffective disorder with the notion that schizoaffective disorder has strong resemblance of clinical presentation with schizophrenia and bipolar disorder and that there have been studies on regions of interest volumes in patients with schizophrenia and bipolar disorder but not in patients with schizoaffective disorder. Eighteen patients with schizoaffective disorder and nineteen healthy controls were included into the study. Hippocampus and amygdala volumes were examined by using the MRI. Both hippocampus and amygdala volumes were statistically significantly reduced in patients with schizoaffective disorder compared to those of the healthy control comparisons (p<0.001 for the hippocampus and p<0.001 for the amygdala). In summary, our findings of the present study suggest that patients with schizoaffective disorder seem to have smaller volumes of the hippocampus and amygdala regions and that our results were in accordance with those obtained both in patients with schizophrenia and bipolar disorder, considering that schizoaffective disorder might have neuroanatomic similarities with both schizophrenia and bipolar disorder. Beacuse of some limitations aforementioned especially age, it is required to replicate our present results in this patient group.
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Affiliation(s)
- M Gurkan Gurok
- Firat University School of Medicine Department of Psychiatry, Elazig, Turkey.
| | - Dilek Bakis Aksoy
- Firat University School of Medicine Department of Psychiatry, Elazig, Turkey
| | - Osman Mermi
- Firat University School of Medicine Department of Psychiatry, Elazig, Turkey.
| | - Sevda Korkmaz
- Firat University School of Medicine Department of Psychiatry, Elazig, Turkey.
| | | | - Hanefi Yildirim
- Firat University School of Medicine Department of Radiology, Elazig, Turkey.
| | - Murad Atmaca
- Firat University School of Medicine Department of Psychiatry, Elazig, Turkey.
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3
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Becker M, Fischer DJ, Kühn S, Gallinat J. Videogame training increases clinical well-being, attention and hippocampal-prefrontal functional connectivity in patients with schizophrenia. Transl Psychiatry 2024; 14:218. [PMID: 38806461 PMCID: PMC11133354 DOI: 10.1038/s41398-024-02945-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 05/14/2024] [Accepted: 05/17/2024] [Indexed: 05/30/2024] Open
Abstract
Recent research shows that videogame training enhances neuronal plasticity and cognitive improvements in healthy individuals. As patients with schizophrenia exhibit reduced neuronal plasticity linked to cognitive deficits and symptoms, we investigated whether videogame-related cognitive improvements and plasticity changes extend to this population. In a training study, patients with schizophrenia and healthy controls were randomly assigned to 3D or 2D platformer videogame training or E-book reading (active control) for 8 weeks, 30 min daily. After training, both videogame conditions showed significant increases in sustained attention compared to the control condition, correlated with increased functional connectivity in a hippocampal-prefrontal network. Notably, patients trained with videogames mostly improved in negative symptoms, general psychopathology, and perceived mental health recovery. Videogames, incorporating initiative, goal setting and gratification, offer a training approach closer to real life than current psychiatric treatments. Our results provide initial evidence that they may represent a possible adjunct therapeutic intervention for complex mental disorders.
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Affiliation(s)
- Maxi Becker
- University Medical Center Hamburg-Eppendorf, Clinic and Policlinic for Psychiatry and Psychotherapy, Martinistrasse 52, 20246, Hamburg, Germany.
- Humboldt-University Berlin, Department of Psychology, Berlin, Germany.
| | - Djo J Fischer
- University Medical Center Hamburg-Eppendorf, Clinic and Policlinic for Psychiatry and Psychotherapy, Martinistrasse 52, 20246, Hamburg, Germany
| | - Simone Kühn
- University Medical Center Hamburg-Eppendorf, Clinic and Policlinic for Psychiatry and Psychotherapy, Martinistrasse 52, 20246, Hamburg, Germany.
- Lise Meitner Group for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany.
- Max Planck-UCL Center for Computational Psychiatry and Ageing Research, Berlin, Germany.
| | - Jürgen Gallinat
- University Medical Center Hamburg-Eppendorf, Clinic and Policlinic for Psychiatry and Psychotherapy, Martinistrasse 52, 20246, Hamburg, Germany
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Wilson JC, Liu KY, Jones K, Mahmood J, Arya U, Howard R. Biomarkers of neurodegeneration in schizophrenia: systematic review and meta-analysis. BMJ MENTAL HEALTH 2024; 27:e301017. [PMID: 38796179 PMCID: PMC11129036 DOI: 10.1136/bmjment-2024-301017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 04/07/2024] [Indexed: 05/28/2024]
Abstract
QUESTION Does neurodegenerative disease underlie the increased rate of dementia observed in older people with schizophrenia? Several studies have reported a higher prevalence of dementia in people with schizophrenia compared with the general population. This may reflect a higher risk of developing neurodegenerative diseases such as vascular dementia or Alzheimer's disease (AD). Alternatively, this may reflect non-pathological, age-related cognitive decline in a population with low cognitive reserve. STUDY SELECTION AND ANALYSIS We reviewed papers that compared postmortem findings, hippocampal MRI volume or cerebrospinal fluid (CSF) markers of AD, between patients with schizophrenia with evidence of cognitive impairment (age ≥45 years) with controls. We subsequently performed a meta-analysis of postmortem studies that compared amyloid-β plaques (APs) or neurofibrillary tangles (NFTs) in cognitively impaired patients with schizophrenia to normal controls or an AD group. FINDINGS No studies found a significant increase of APs or NFTs in cognitively impaired patients with schizophrenia compared with controls. All postmortem studies that compared APs or NFTs in patients with schizophrenia to an AD group found significantly more APs or NFTs in AD. No studies found a significant differences in CSF total tau or phosphorylated tau between patients with schizophrenia and controls. The two studies which compared CSF Aβ42 between patients with schizophrenia and controls found significantly decreased CSF Aβ42 in schizophrenia compared with controls. Hippocampal volume findings were mixed. CONCLUSIONS Studies have not found higher rates of AD-related pathology in cognitively impaired individuals with schizophrenia compared with controls. Higher rates of dementia identified in population studies may reflect a lack of specificity in clinical diagnostic tools used to diagnose dementia.
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Affiliation(s)
| | - Kathy Y Liu
- Division of Psychiatry, University College London, London, UK
| | - Katherine Jones
- Camden and Islington NHS Foundation Trust, London, London, UK
| | | | - Utkarsh Arya
- Sussex Partnership NHS Foundation Trust, Worthing, UK
| | - Rob Howard
- Division of Psychiatry, University College London, London, UK
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5
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Barth C, Nerland S, Jørgensen KN, Haatveit B, Wortinger LA, Melle I, Haukvik UK, Ueland T, Andreassen OA, Agartz I. Altered Sex Differences in Hippocampal Subfield Volumes in Schizophrenia. Schizophr Bull 2024; 50:107-119. [PMID: 37354490 PMCID: PMC10754184 DOI: 10.1093/schbul/sbad091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/26/2023]
Abstract
BACKGROUND AND HYPOTHESIS The hippocampus is a heterogenous brain structure that differs between the sexes and has been implicated in the pathophysiology of psychiatric illnesses. Here, we explored sex and diagnostic group differences in hippocampal subfield volumes, in individuals with schizophrenia spectrum disorder (SZ), bipolar disorders (BD), and healthy controls (CTL). STUDY DESIGN One thousand and five hundred and twenty-one participants underwent T1-weighted magnetic resonance imaging (SZ, n = 452, mean age 30.7 ± 9.2 [SD] years, males 59.1%; BD, n = 316, 33.7 ± 11.4, 41.5%; CTL, n = 753, 34.1 ± 9.1, 55.6%). Total hippocampal, subfield, and intracranial volumes were estimated with Freesurfer (v6.0.0). Analysis of covariance and multiple regression models were fitted to examine sex-by-diagnostic (sub)group interactions in volume. In SZ and BD, separately, associations between volumes and clinical as well as cognitive measures were examined between the sexes using regression models. STUDY RESULTS Significant sex-by-group interactions were found for the total hippocampus, dentate gyrus, molecular layer, presubiculum, fimbria, hippocampal-amygdaloid transition area, and CA4, indicating a larger volumetric deficit in male patients relative to female patients when compared with same-sex CTL. Subgroup analyses revealed that this interaction was driven by males with schizophrenia. Effect sizes were overall small (partial η < 0.02). We found no significant sex differences in the associations between hippocampal volumes and clinical or cognitive measures in SZ and BD. CONCLUSIONS Using a well-powered sample, our findings indicate that the pattern of morphological sex differences in hippocampal subfields is altered in individuals with schizophrenia relative to CTL, due to higher volumetric deficits in males.
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Affiliation(s)
- Claudia Barth
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, NORMENT, Oslo, Norway
| | - Stener Nerland
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, NORMENT, Oslo, Norway
| | - Kjetil N Jørgensen
- Institute of Clinical Medicine, University of Oslo, NORMENT, Oslo, Norway
- Department of Psychiatry, Telemark Hospital, Skien, Norway
| | - Beathe Haatveit
- Institute of Clinical Medicine, University of Oslo, NORMENT, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, NORMENT, Oslo, Norway
| | - Laura A Wortinger
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, NORMENT, Oslo, Norway
| | - Ingrid Melle
- Institute of Clinical Medicine, University of Oslo, NORMENT, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, NORMENT, Oslo, Norway
| | - Unn K Haukvik
- Division of Mental Health and Addiction, Oslo University Hospital, NORMENT, Oslo, Norway
- Department of Adult Mental Health, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Centre of Research and Education in Forensic Psychiatry, Oslo University Hospital, Oslo, Norway
| | - Torill Ueland
- Division of Mental Health and Addiction, Oslo University Hospital, NORMENT, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Ole A Andreassen
- Institute of Clinical Medicine, University of Oslo, NORMENT, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, NORMENT, Oslo, Norway
| | - Ingrid Agartz
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, NORMENT, Oslo, Norway
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet and Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
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Milczarek MM, Gilani SIA, Lequin MH, Vann SD. Reduced mammillary body volume in individuals with a schizophrenia diagnosis: an analysis of the COBRE data set. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2023; 9:48. [PMID: 37528127 PMCID: PMC10394056 DOI: 10.1038/s41537-023-00376-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Accepted: 07/12/2023] [Indexed: 08/03/2023]
Abstract
While the frontal cortices and medial temporal lobe are well associated with schizophrenia, the involvement of wider limbic areas is less clear. The mammillary bodies are important for both complex memory formation and anxiety and are implicated in several neurological disorders that present with memory impairments. However, little is known about their role in schizophrenia. Post-mortem studies have reported a loss of neurons in the mammillary bodies but there are also reports of increased mammillary body volume. The findings from in vivo MRI studies have also been mixed, but studies have typically only involved small sample sizes. To address this, we acquired mammillary body volumes from the open-source COBRE dataset, where we were able to manually measure the mammillary bodies in 72 individuals with a schizophrenia diagnosis and 74 controls. Participant age ranged from 18 to 65. We found the mammillary bodies to be smaller in the patient group, across both hemispheres, after accounting for the effects of total brain volume and gender. Hippocampal volumes, but not subiculum or total grey matter volumes, were also significantly lower in patients. Given the importance of the mammillary bodies for both memory and anxiety, this atrophy could contribute to the symptomology in schizophrenia.
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Affiliation(s)
- Michal M Milczarek
- School of Psychology, Cardiff University, Tower Building, Cardiff, CF10 3AT, UK
- Neuroscience and Mental Health Innovation Institute, Hadyn Ellis Building, Cathays, Cardiff, CF24 4HQ, UK
| | - Syed Irtiza A Gilani
- School of Psychology, Cardiff University, Tower Building, Cardiff, CF10 3AT, UK
- CUBRIC, School of Psychology, Maindy Road, Cardiff, CF24 4HQ, UK
| | - Maarten H Lequin
- Division Imaging & Oncology, Department of Radiology & Nuclear Medicine, University Medical Center Utrecht & Princess Máxima Center for Pediatric Oncology, 3508 GA, Utrecht, The Netherlands
| | - Seralynne D Vann
- School of Psychology, Cardiff University, Tower Building, Cardiff, CF10 3AT, UK.
- Neuroscience and Mental Health Innovation Institute, Hadyn Ellis Building, Cathays, Cardiff, CF24 4HQ, UK.
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Alexandros Lalousis P, Wood S, Reniers R, Schmaal L, Azam H, Mazziota A, Saeed H, Wragg C, Upthegrove R. Transdiagnostic structural neuroimaging features in depression and psychosis: A systematic review. Neuroimage Clin 2023; 38:103388. [PMID: 37031636 PMCID: PMC10120394 DOI: 10.1016/j.nicl.2023.103388] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 03/22/2023] [Accepted: 03/24/2023] [Indexed: 03/31/2023]
Abstract
BACKGROUND Previous research suggests that there may be similarities in structural brain changes seen in patients with depression and psychosis compared to healthy controls. However, there is yet no systematic review collating studies comparing structural brain changes in depression and psychosis. Establishing shared and specific neuroanatomical features could aid the investigation of underlying biological processes. AIMS To identify structural neuroimaging similarities and differences between patients with depression and psychosis. METHOD We searched PubMed, PsychInfo, Embase, NICE Evidence, Medline and the Cochrane Library were searched from inception to 30/06/2021 using relevant subject headings (controlled vocabularies) and search syntax. Papers were assessed for quality using the Newcastle-Ottawa Scale. RESULTS Five-hundred and twenty papers were retrieved, seven met inclusion criteria. In narrative collation of results, grey matter volume (GMV) reductions were found in the medial frontal gyrus (MFG), hippocampus and left-sided posterior subgenual prefrontal cortex in both psychosis and depression. GMV reductions affected more brain regions in psychosis, including in the insula and thalamus. White matter volume (WMV) decline was found in both depression and psychosis. Reduced fractional anisotropy (FA) was more commonly seen in depression. CONCLUSIONS Our results suggest potential transdiagnostic patterns of GMV and WMV reductions in areas including the MFG, hippocampus, and left-sided posterior subgenual prefrontal cortex. These could be investigated as a future biomarker of transdiagnostic signature across mental illnesses. However, due to the limited number and poor quality of studies future research in large samples and harmonised imaging data is first needed.
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Affiliation(s)
- Paris Alexandros Lalousis
- Institute for Mental Health, University of Birmingham, Birmingham B15 2SA, United Kingdom; Centre for Human Brain Health, University of Birmingham, Birmingham B15 2SA, United Kingdom.
| | - Stephen Wood
- Institute for Mental Health, University of Birmingham, Birmingham B15 2SA, United Kingdom; Centre for Human Brain Health, University of Birmingham, Birmingham B15 2SA, United Kingdom; Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Renate Reniers
- Institute for Mental Health, University of Birmingham, Birmingham B15 2SA, United Kingdom; Centre for Human Brain Health, University of Birmingham, Birmingham B15 2SA, United Kingdom
| | - Lianne Schmaal
- Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Hannah Azam
- Institute for Mental Health, University of Birmingham, Birmingham B15 2SA, United Kingdom
| | - Antonella Mazziota
- Institute for Mental Health, University of Birmingham, Birmingham B15 2SA, United Kingdom
| | - Hasson Saeed
- Institute for Mental Health, University of Birmingham, Birmingham B15 2SA, United Kingdom
| | - Charlotte Wragg
- Institute for Mental Health, University of Birmingham, Birmingham B15 2SA, United Kingdom
| | - Rachel Upthegrove
- Institute for Mental Health, University of Birmingham, Birmingham B15 2SA, United Kingdom; Centre for Human Brain Health, University of Birmingham, Birmingham B15 2SA, United Kingdom
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Sun Y, Hu N, Wang M, Lu L, Luo C, Tang B, Yao C, Sweeney JA, Gong Q, Qiu C, Lui S. Hippocampal subfield alterations in schizophrenia and major depressive disorder: a systematic review and network meta-analysis of anatomic MRI studies. J Psychiatry Neurosci 2023; 48:E34-E49. [PMID: 36750240 PMCID: PMC9911126 DOI: 10.1503/jpn.220086] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 07/28/2022] [Accepted: 10/30/2022] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND Hippocampal disturbances are important in the pathophysiology of both schizophrenia and major depressive disorder (MDD). Imaging studies have shown selective volume deficits across hippocampal subfields in both disorders. We aimed to investigate whether these volumetric alterations in hippocampal subfields are shared or divergent across disorders. METHODS We searched PubMed and Embase from database inception to May 8, 2021. We identified MRI studies in patients with schizophrenia, MDD or both, in which hippocampal subfield volumes were measured. We excluded nonoriginal, animal or postmortem studies, and studies that used other imaging modalities or overlapping data. We conducted a network meta-analysis to estimate and contrast alterations in subfield volumes in the 2 disorders. RESULTS We identified 45 studies that met the initial criteria for systematic review, of which 15 were eligible for network metaanalysis. Compared to healthy controls, patients with schizophrenia had reduced volumes in the bilateral cornu ammonis (CA) 1, granule cell layer of the dentate gyrus, subiculum, parasubiculum, molecular layer, hippocampal tail and hippocampus-amygdala transition area (HATA); in the left CA4 and presubiculum; and in the right fimbria. Patients with MDD had decreased volumes in the left CA3 and CA4 and increased volumes in the right HATA compared to healthy controls. The bilateral parasubiculum and right HATA were smaller in patients with schizophrenia than in patients with MDD. LIMITATIONS We did not investigate medication effects because of limited information. Study heterogeneity was noteworthy in direct comparisons between patients with MDD and healthy controls. CONCLUSION The volumes of multiple hippocampal subfields are selectively altered in patients with schizophrenia and MDD, with overlap and differentiation in subfield alterations across disorders. Rigorous head-to-head studies are needed to validate our findings.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Changjian Qiu
- From the Huaxi MR Research Center, Department of Radiology and National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Sun, Lu, Tang, Yao, Sweeney, Gong, Lui); the Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Hu, Luo); the Chinese Evidence-Based Medicine Center and Cochrane China Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Wang); the Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio, United States (Sweeney); the Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Qiu); the Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan, China (Lui); the Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Lui)
| | - Su Lui
- From the Huaxi MR Research Center, Department of Radiology and National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Sun, Lu, Tang, Yao, Sweeney, Gong, Lui); the Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Hu, Luo); the Chinese Evidence-Based Medicine Center and Cochrane China Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Wang); the Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio, United States (Sweeney); the Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Qiu); the Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan, China (Lui); the Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, Sichuan, China (Lui)
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9
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Kaki S, DeRosa H, Timmerman B, Brummelte S, Hunter RG, Kentner AC. Developmental Manipulation-Induced Changes in Cognitive Functioning. Curr Top Behav Neurosci 2023; 63:241-289. [PMID: 36029460 PMCID: PMC9971379 DOI: 10.1007/7854_2022_389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
Abstract
Schizophrenia is a complex neurodevelopmental disorder with as-yet no identified cause. The use of animals has been critical to teasing apart the potential individual and intersecting roles of genetic and environmental risk factors in the development of schizophrenia. One way to recreate in animals the cognitive impairments seen in people with schizophrenia is to disrupt the prenatal or neonatal environment of laboratory rodent offspring. This approach can result in congruent perturbations in brain physiology, learning, memory, attention, and sensorimotor domains. Experimental designs utilizing such animal models have led to a greatly improved understanding of the biological mechanisms that could underlie the etiology and symptomology of schizophrenia, although there is still more to be discovered. The implementation of the Research and Domain Criterion (RDoC) has been critical in taking a more comprehensive approach to determining neural mechanisms underlying abnormal behavior in people with schizophrenia through its transdiagnostic approach toward targeting mechanisms rather than focusing on symptoms. Here, we describe several neurodevelopmental animal models of schizophrenia using an RDoC perspective approach. The implementation of animal models, combined with an RDoC framework, will bolster schizophrenia research leading to more targeted and likely effective therapeutic interventions resulting in better patient outcomes.
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Affiliation(s)
- Sahith Kaki
- School of Arts and Sciences, Health Psychology Program, Massachusetts College of Pharmacy and Health Sciences, Boston, MA, USA
| | - Holly DeRosa
- School of Arts and Sciences, Health Psychology Program, Massachusetts College of Pharmacy and Health Sciences, Boston, MA, USA
- University of Massachusetts Boston, Boston, MA, USA
| | - Brian Timmerman
- Department of Psychology, Wayne State University, Detroit, MI, USA
| | - Susanne Brummelte
- Department of Psychology, Wayne State University, Detroit, MI, USA
- Translational Neuroscience Program, Wayne State University, Detroit, MI, USA
| | | | - Amanda C Kentner
- School of Arts and Sciences, Health Psychology Program, Massachusetts College of Pharmacy and Health Sciences, Boston, MA, USA.
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10
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Relevance of interactions between dopamine and glutamate neurotransmission in schizophrenia. Mol Psychiatry 2022; 27:3583-3591. [PMID: 35681081 PMCID: PMC9712151 DOI: 10.1038/s41380-022-01649-w] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 05/16/2022] [Accepted: 05/25/2022] [Indexed: 02/08/2023]
Abstract
Dopamine (DA) and glutamate neurotransmission are strongly implicated in schizophrenia pathophysiology. While most studies focus on contributions of neurons that release only DA or glutamate, neither DA nor glutamate models alone recapitulate the full spectrum of schizophrenia pathophysiology. Similarly, therapeutic strategies limited to either system cannot effectively treat all three major symptom domains of schizophrenia: positive, negative, and cognitive symptoms. Increasing evidence suggests extensive interactions between the DA and glutamate systems and more effective treatments may therefore require the targeting of both DA and glutamate signaling. This offers the possibility that disrupting DA-glutamate circuitry between these two systems, particularly in the striatum and forebrain, culminate in schizophrenia pathophysiology. Yet, the mechanisms behind these interactions and their contributions to schizophrenia remain unclear. In addition to circuit- or system-level interactions between neurons that solely release either DA or glutamate, here we posit that functional alterations involving a subpopulation of neurons that co-release both DA and glutamate provide a novel point of integration between DA and glutamate systems, offering a key missing link in our understanding of schizophrenia pathophysiology. Better understanding of mechanisms underlying DA/glutamate co-release from these neurons may therefore shed new light on schizophrenia pathophysiology and lead to more effective therapeutics.
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11
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Levman J, Jennings M, Rouse E, Berger D, Kabaria P, Nangaku M, Gondra I, Takahashi E. A morphological study of schizophrenia with magnetic resonance imaging, advanced analytics, and machine learning. Front Neurosci 2022; 16:926426. [PMID: 36046472 PMCID: PMC9420897 DOI: 10.3389/fnins.2022.926426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 07/05/2022] [Indexed: 11/16/2022] Open
Abstract
We have performed a morphological analysis of patients with schizophrenia and compared them with healthy controls. Our analysis includes the use of publicly available automated extraction tools to assess regional cortical thickness (inclusive of within region cortical thickness variability) from structural magnetic resonance imaging (MRI), to characterize group-wise abnormalities associated with schizophrenia based on a publicly available dataset. We have also performed a correlation analysis between the automatically extracted biomarkers and a variety of patient clinical variables available. Finally, we also present the results of a machine learning analysis. Results demonstrate regional cortical thickness abnormalities in schizophrenia. We observed a correlation (rho = 0.474) between patients’ depression and the average cortical thickness of the right medial orbitofrontal cortex. Our leading machine learning technology evaluated was the support vector machine with stepwise feature selection, yielding a sensitivity of 92% and a specificity of 74%, based on regional brain measurements, including from the insula, superior frontal, caudate, calcarine sulcus, gyrus rectus, and rostral middle frontal regions. These results imply that advanced analytic techniques combining MRI with automated biomarker extraction can be helpful in characterizing patients with schizophrenia.
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Affiliation(s)
- Jacob Levman
- Department of Computer Science, St. Francis Xavier University, Antigonish, NS, Canada
- Center for Clinical Research, Nova Scotia Health Authority - Research, Innovation and Discovery, Halifax, NS, Canada
- Department of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Massachusetts Institute of Technology, Boston, MA, United States
- *Correspondence: Jacob Levman,
| | - Maxwell Jennings
- Department of Computer Science, St. Francis Xavier University, Antigonish, NS, Canada
- Department of Mathematics and Statistics, St. Francis Xavier University, Antigonish, NS, Canada
| | - Ethan Rouse
- Department of Computer Science, St. Francis Xavier University, Antigonish, NS, Canada
| | - Derek Berger
- Department of Computer Science, St. Francis Xavier University, Antigonish, NS, Canada
| | - Priya Kabaria
- Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Masahito Nangaku
- Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Iker Gondra
- Department of Computer Science, St. Francis Xavier University, Antigonish, NS, Canada
| | - Emi Takahashi
- Department of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Massachusetts Institute of Technology, Boston, MA, United States
- Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States
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12
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Jia Y, Yao Y, Zhuo L, Chen X, Yan C, Ji Y, Tao J, Zhu Y. Aerobic Physical Exercise as a Non-medical Intervention for Brain Dysfunction: State of the Art and Beyond. Front Neurol 2022; 13:862078. [PMID: 35645958 PMCID: PMC9136296 DOI: 10.3389/fneur.2022.862078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 03/28/2022] [Indexed: 12/03/2022] Open
Abstract
Brain disorders, including stroke, Alzheimer's disease, depression, and chronic pain, are difficult to effectively treat. These major brain disorders have high incidence and mortality rates in the general population, and seriously affect not only the patient's quality of life, but also increases the burden of social medical care. Aerobic physical exercise is considered an effective adjuvant therapy for preventing and treating major brain disorders. Although the underlying regulatory mechanisms are still unknown, systemic processes may be involved. Here, this review aimed to reveal that aerobic physical exercise improved depression and several brain functions, including cognitive functions, and provided chronic pain relief. We concluded that aerobic physical exercise helps to maintain the regulatory mechanisms of brain homeostasis through anti-inflammatory mechanisms and enhanced synaptic plasticity and inhibition of hippocampal atrophy and neuronal apoptosis. In addition, we also discussed the cross-system mechanisms of aerobic exercise in regulating imbalances in brain function, such as the “bone-brain axis.” Furthermore, our findings provide a scientific basis for the clinical application of aerobic physical exercise in the fight against brain disorders.
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Affiliation(s)
- Yuxiang Jia
- School of Medicine and School of Life Sciences, Shanghai University, Shanghai, China
| | - Yu Yao
- School of Medicine and School of Life Sciences, Shanghai University, Shanghai, China
| | - Limin Zhuo
- School of Medicine and School of Life Sciences, Shanghai University, Shanghai, China
| | - Xingxing Chen
- Department of Neurology and Central Laboratory, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Cuina Yan
- Department of Neurology and Central Laboratory, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yonghua Ji
- School of Medicine and School of Life Sciences, Shanghai University, Shanghai, China
- *Correspondence: Yonghua Ji
| | - Jie Tao
- Department of Neurology and Central Laboratory, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Jie Tao
| | - Yudan Zhu
- Department of Neurology and Central Laboratory, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Yudan Zhu
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13
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Nasa A, Mosley O, Roman E, Kelliher A, Gaughan C, Levins KJ, Coppinger D, O'Hanlon E, Cannon M, Roddy DW. MRI volumetric changes in hippocampal subfields in psychosis: a protocol for a systematic review and meta-analysis. Syst Rev 2022; 11:44. [PMID: 35292116 PMCID: PMC8925181 DOI: 10.1186/s13643-022-01916-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 03/02/2022] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The hippocampus has for long been known for its ability to form new, declarative memory. However, emerging findings across conditions in the psychosis spectrum also implicate its role in emotional regulation. Systematic reviews have demonstrated consistent volume atrophic changes in the hippocampus. The aim of the systematic review and metanalysis which will follow from this protocol will be to investigate the volume-based neuroimaging findings across each of the subfields of the hippocampus in psychosis independent of diagnosis. METHODS Volume changes across subfields of the hippocampus in psychotic illnesses will be assessed by systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). MRI neuroimaging studies of patients with a definitive diagnosis of psychosis (including brief pre-diagnostic states) will be included. Studies lacking adequate controls, illicit drug use, medical psychosis, history of other significant psychiatric comorbidities, or emphasis on age groups above 65 or below 16 will be excluded. Subfields investigated will include the CA1, CA2/3, CA4, subiculum, presubiculum, parasubiculum, dentate gyrus, stratum, molecular layer, granular cell layer, entorhinal cortex, and fimbria. Two people will independently screen abstracts from the output of the search to select suitable studies. This will be followed by the two reviewers performing a full-text review of the studies which were selected based on suitable abstracts. One reviewer will independently perform all the data extraction, and another reviewer will then systemically check all the extracted information using the original articles to ensure accuracy. Statistical analysis will be performed using the metafor and meta-packages in R Studio with the application of the random-effects model. DISCUSSION This study will provide insight into the volumetric changes in psychosis of the subfields of the hippocampus, independent of diagnosis. This may shed light on the intricate neural pathology which encompasses psychosis and will open avenues for further exploration of the structures identified as potential drivers of volume change. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42020199558.
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Affiliation(s)
- Anurag Nasa
- Department of Psychiatry, Trinity College Institute of Neuroscience, Lloyd Building, Trinity College Dublin, Dublin 2, Ireland
| | - Olivia Mosley
- Department of Psychiatry, Trinity College Institute of Neuroscience, Lloyd Building, Trinity College Dublin, Dublin 2, Ireland
| | - Elena Roman
- Department of Psychiatry, Trinity College Institute of Neuroscience, Lloyd Building, Trinity College Dublin, Dublin 2, Ireland
| | - Allison Kelliher
- Department of Psychiatry, Trinity College Institute of Neuroscience, Lloyd Building, Trinity College Dublin, Dublin 2, Ireland
| | - Caoimhe Gaughan
- Department of Psychiatry, Trinity College Institute of Neuroscience, Lloyd Building, Trinity College Dublin, Dublin 2, Ireland
| | - Kirk J Levins
- Department of Anaesthesiology, Intensive Care and Pain Medicine, St. Vincent's University Hospital, Dublin 4, Ireland
| | - David Coppinger
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin 2, Ireland
| | - Erik O'Hanlon
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin 2, Ireland
| | - Mary Cannon
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin 2, Ireland
| | - Darren William Roddy
- Department of Psychiatry, Trinity College Institute of Neuroscience, Lloyd Building, Trinity College Dublin, Dublin 2, Ireland. .,Department of Physiology, School of Medicine, University College Dublin, Dublin 4, Ireland.
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14
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Toll A, Blanco-Hinojo L, Bergé D, Duran X, Canosa I, Legido T, Marmol F, Pérez-Solà V, Fernández-Egea E, Mané A. Multidimensional predictors of negative symptoms in antipsychotic-naive first-episode psychosis. J Psychiatry Neurosci 2022; 47:E21-E31. [PMID: 35046133 PMCID: PMC8789336 DOI: 10.1503/jpn.210138] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 10/15/2021] [Accepted: 11/01/2021] [Indexed: 11/01/2022] Open
Abstract
BACKGROUND Despite a large body of schizophrenia research, we still have no reliable predictors to guide treatment from illness onset. The present study aimed to identify baseline clinical or neurobiological factors - including peripheral brain-derived neurotrophic factor (BDNF) levels and amygdala or hippocampal relative volumes - that could predict negative symptomatology and persistent negative symptoms in first-episode psychosis after 1 year of follow-up. METHODS We recruited 50 drug-naive patients with first-episode psychosis and 50 age- and sex-matched healthy controls to study brain volumes. We performed univariate and multiple and logistic regression analyses to determine the association between baseline clinical and neurobiological variables, score on the PANSS negative subscale and persistent negative symptoms after 1 year of follow-up. RESULTS Low baseline serum BDNF levels (p = 0.011), decreased left amygdala relative volume (p = 0.001) and more severe negative symptomatology (p = 0.021) predicted the severity of negative symptoms at 1 year, as measured by the PANSS negative subscale. Low baseline serum BDNF levels (p = 0.012) and decreased left amygdala relative volume (p = 0.010) predicted persistent negative symptoms at 1 year. LIMITATIONS We were unable to assess negative symptoms and their dimensions with next-generation scales, which were not available when the study was initiated. CONCLUSION This study shows that a set of variables at baseline, including low BDNF levels, smaller left amygdala relative volume and score on the PANSS negative subscale are significant predictors of outcomes in first-episode psychosis. These findings might offer an initial step for tailoring treatments in first-episode psychosis.
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Affiliation(s)
| | - Laura Blanco-Hinojo
- From the Institut de Neuropsiquiatria i Adiccions (INAD), Parc de Salut Mar, Barcelona, Spain (Toll, Bergé, Canosa, Legido, Pérez-Solà, Mané); the Fundació Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain (Toll, Bergé, Duran, Canosa, Legido, Pérez-Solà, Mané); the Centro de Investigación Biomédica en Red, Área de Salud Mental (CIBERSAM), Spain (Toll, Blanco-Hinojo, Bergé, Canosa, Pérez-Solà, Mané); the Department of Psychiatry and Forensic Medicine, Universitat Autónoma de Barcelona (UAB), Barcelona, Spain (Toll); the MRI Research Unit, Department of Radiology, Parc de Salut Mar, Barcelona, Spain (Blanco-Hinojo); the Pharmacology Unit, Department of Clinical Fundamentals, Faculty of Medicine, Barcelona University, Barcelona, Spain (Marmol); and the Department of Psychiatry and Behavioral and Clinical Neuroscience Institute, University of Cambridge, United Kingdom (Fernández-Egea)
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15
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Hänninen JJ, Nakajima M, Vanninen A, Hytönen S, Rummukainen J, Koivisto AM, Jääskeläinen JE, Soininen H, Sutela A, Vanninen R, Hiltunen M, Leinonen V, Rauramaa T. Neuropathological findings in possible normal pressure hydro-cephalus: A post-mortem study of 29 cases with lifelines. FREE NEUROPATHOLOGY 2022; 3:3-2. [PMID: 37284164 PMCID: PMC10210004 DOI: 10.17879/freeneuropathology-2022-3331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 01/19/2022] [Indexed: 06/08/2023]
Abstract
Aims: There are very few detailed post-mortem studies on idiopathic normal-pressure hydrocephalus (iNPH) and there is a lack of proper neuropathological criteria for iNPH. This study aims to update the knowledge on the neuropathology of iNPH and to develop the neuropathological diagnostic criteria of iNPH. Methods: We evaluated the clinical lifelines and post-mortem findings of 29 patients with possible NPH. Pre-mortem cortical brain biopsies were taken from all patients during an intracranial pressure measurement or a cerebrospinal fluid (CSF) shunt surgery. Results: The mean age at the time of the biopsy was 70±8 SD years and 74±7 SD years at the time of death. At the time of death, 11/29 patients (38%) displayed normal cognition or mild cognitive impairment (MCI), 9/29 (31%) moderate dementia and 9/29 (31%) severe dementia. Two of the demented patients had only scarce neuropathological findings indicating a probable hydrocephalic origin for the dementia. Amyloid-β (Aβ) and hyperphosphorylated τ (HPτ) in the biopsies predicted the neurodegenerative diseases so that there were 4 Aβ positive/low Alzheimer's disease neuropathological change (ADNC) cases, 4 Aβ positive/intermediate ADNC cases, 1 Aβ positive case with both low ADNC and progressive supranuclear palsy (PSP), 1 HPτ/PSP and primary age-related tauopathy (PART) case, 1 Aβ/HPτ and low ADNC/synucleinopathy case and 1 case with Aβ/HPτ and high ADNC. The most common cause of death was due to cardiovascular diseases (10/29, 34%), followed by cerebrovascular diseases or subdural hematoma (SDH) (8/29, 28%). Three patients died of a postoperative intracerebral hematoma (ICH). Vascular lesions were common (19/29, 65%). Conclusions: We update the suggested neuropathological diagnostic criteria of iNPH, which emphasize the rigorous exclusion of all other known possible neuropathological causes of dementia. Despite the first 2 probable cases reported here, the issue of "hydrocephalic dementia" as an independent entity still requires further confirmation. Extensive sampling (with fresh frozen tissue including meninges) with age-matched neurologically healthy controls is highly encouraged.
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Affiliation(s)
- Joni J. Hänninen
- The Department of Pathology, Kuopio University Hospital and the Institute of Clinical Medicine – Pathology, University of Eastern Finland, KuopioFinland
- The Department of Neurosurgery, Kuopio University Hospital and the Institute of Clinical Medicine – Neurosurgery, University of Eastern Finland, KuopioFinland
| | - Madoka Nakajima
- The Department of Neurosurgery, Juntendo University Faculty of Medicine, TokyoJapan
| | - Aleksi Vanninen
- The Department of Pathology, Kuopio University Hospital and the Institute of Clinical Medicine – Pathology, University of Eastern Finland, KuopioFinland
- The Department of Neurosurgery, Kuopio University Hospital and the Institute of Clinical Medicine – Neurosurgery, University of Eastern Finland, KuopioFinland
| | - Santtu Hytönen
- The National Institute for Health and Welfare, Forensic Medicine, KuopioFinland
| | - Jaana Rummukainen
- The Department of Pathology, Kuopio University Hospital, KuopioFinland
| | - Anne Maria Koivisto
- The Department of Neurology, Kuopio University Hospital and the Institute of Clinical Medicine – Neurology, University of Eastern Finland, KuopioFinland
- The Department of Neurosciences, Medical Faculty, University of Helsinki, HelsinkiFinland
- The Department of Geriatrics/Rehabilitation and Internal Medicine, Helsinki University Hospital, HelsinkiFinland
| | - Juha E. Jääskeläinen
- The Department of Neurosurgery, Kuopio University Hospital and the Institute of Clinical Medicine – Neurosurgery, University of Eastern Finland, KuopioFinland
| | - Hilkka Soininen
- The Department of Neurology, Kuopio University Hospital, KuopioFinland
| | - Anna Sutela
- The Department of Radiology, Kuopio University Hospital and the Institute of Clinical Medicine – Radiology, University of Eastern Finland, KuopioFinland
| | - Ritva Vanninen
- The Department of Radiology, Kuopio University Hospital and the Institute of Clinical Medicine – Radiology, University of Eastern Finland, KuopioFinland
| | - Mikko Hiltunen
- The Institute of Biomedicine, University of Eastern Finland, KuopioFinland
| | - Ville Leinonen
- The Department of Neurosurgery, Kuopio University Hospital and the Institute of Clinical Medicine – Neurosurgery, University of Eastern Finland, KuopioFinland
| | - Tuomas Rauramaa
- The Department of Pathology, Kuopio University Hospital and the Institute of Clinical Medicine – Pathology, University of Eastern Finland, KuopioFinland
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16
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Resolving heterogeneity in schizophrenia through a novel systems approach to brain structure: individualized structural covariance network analysis. Mol Psychiatry 2021; 26:7719-7731. [PMID: 34316005 DOI: 10.1038/s41380-021-01229-4] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 06/15/2021] [Accepted: 07/05/2021] [Indexed: 12/12/2022]
Abstract
Reliable mapping of system-level individual differences is a critical first step toward precision medicine for complex disorders such as schizophrenia. Disrupted structural covariance indicates a system-level brain maturational disruption in schizophrenia. However, most studies examine structural covariance at the group level. This prevents subject-level inferences. Here, we introduce a Network Template Perturbation approach to construct individual differential structural covariance network (IDSCN) using regional gray-matter volume. IDSCN quantifies how structural covariance between two nodes in a patient deviates from the normative covariance in healthy subjects. We analyzed T1 images from 1287 subjects, including 107 first-episode (drug-naive) patients and 71 controls in the discovery datasets and established robustness in 213 first-episode (drug-naive), 294 chronic, 99 clinical high-risk patients, and 494 controls from the replication datasets. Patients with schizophrenia were highly variable in their altered structural covariance edges; the number of altered edges was related to severity of hallucinations. Despite this variability, a subset of covariance edges, including the left hippocampus-bilateral putamen/globus pallidus edges, clustered patients into two distinct subgroups with opposing changes in covariance compared to controls, and significant differences in their anxiety and depression scores. These subgroup differences were stable across all seven datasets with meaningful genetic associations and functional annotation for the affected edges. We conclude that the underlying physiology of affective symptoms in schizophrenia involves the hippocampus and putamen/pallidum, predates disease onset, and is sufficiently consistent to resolve morphological heterogeneity throughout the illness course. The two schizophrenia subgroups identified thus have implications for the nosology and clinical treatment.
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17
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Büki A, Bohár Z, Kekesi G, Vécsei L, Horvath G. Wisket rat model of schizophrenia: Impaired motivation and, altered brain structure, but no anhedonia. Physiol Behav 2021; 244:113651. [PMID: 34800492 DOI: 10.1016/j.physbeh.2021.113651] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 11/12/2021] [Accepted: 11/13/2021] [Indexed: 01/17/2023]
Abstract
It is well-known that the poor cognition in schizophrenia is strongly linked to negative symptoms, including motivational deficit, which due to, at least partially, anhedonia. The goal of this study was to explore whether the schizophrenia-like Wisket animals with impaired motivation (obtained in the reward-based hole-board test), also show decreased hedonic behavior (investigated with the sucrose preference test). While neurochemical alterations of different neurotransmitter systems have been detected in the Wisket rats, no research has been performed on structural changes. Therefore, our additional aim was to reveal potential neuroanatomical and structural alterations in different brain regions in these rats. The rats showed decreased general motor activity (locomotion, rearing and exploration) and impaired task performance in the hole-board test compared to the controls, whereas no significant difference was observed in the sucrose preference test between the groups. The Wisket rats exhibited a significant decrease in the frontal cortical thickness and the hippocampal area, and moderate increases in the lateral ventricles and cell disarray in the CA3 subfield of hippocampus. To our knowledge, this is the first study to investigate the hedonic behavior and neuroanatomical alterations in a multi-hit animal model of schizophrenia. The results obtained in the sucrose preference test suggest that anhedonic behavior might not be involved in the impaired motivation obtained in the hole-board test. The neuropathological changes agree with findings obtained in patients with schizophrenia, which refine the high face validity of the Wisket model.
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Affiliation(s)
- Alexandra Büki
- Department of Physiology, Albert Szent-Györgyi Medical School, University of Szeged, Dóm tér 10., Szeged, H-6720, Hungary.
| | - Zsuzsanna Bohár
- MTA-SZTE Neuroscience Research Group, Semmelweis u. 6, Szeged, H-6725, Hungary
| | - Gabriella Kekesi
- Department of Physiology, Albert Szent-Györgyi Medical School, University of Szeged, Dóm tér 10., Szeged, H-6720, Hungary
| | - László Vécsei
- MTA-SZTE Neuroscience Research Group, Semmelweis u. 6, Szeged, H-6725, Hungary; Department of Neurology, Albert Szent-Györgyi Medical School, University of Szeged, Semmelweis u. 6., Szeged, H-6725, Hungary; Interdisciplinary Excellence Center, Department of Neurology, Albert Szent-Györgyi Medical School, University of Szeged, Semmelweis u. 6., Szeged, H-6725 Hungary
| | - Gyongyi Horvath
- Department of Physiology, Albert Szent-Györgyi Medical School, University of Szeged, Dóm tér 10., Szeged, H-6720, Hungary
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18
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Guimond S, Gu F, Shannon H, Kelly S, Mike L, Devenyi GA, Chakravarty MM, Sweeney JA, Pearlson G, Clementz BA, Tamminga C, Keshavan M. A Diagnosis and Biotype Comparison Across the Psychosis Spectrum: Investigating Volume and Shape Amygdala-Hippocampal Differences from the B-SNIP Study. Schizophr Bull 2021; 47:1706-1717. [PMID: 34254147 PMCID: PMC8530385 DOI: 10.1093/schbul/sbab071] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
OBJECTIVE Brain-based Biotypes for psychotic disorders have been developed as part of the B-SNIP consortium to create neurobiologically distinct subgroups within idiopathic psychosis, independent from traditional phenomenological diagnostic methods. In the current study, we aimed to validate the Biotype model by assessing differences in volume and shape of the amygdala and hippocampus contrasting traditional clinical diagnoses with Biotype classification. METHODS A total of 811 participants from 6 sites were included: probands with schizophrenia (n = 199), schizoaffective disorder (n = 122), psychotic bipolar disorder with psychosis (n = 160), and healthy controls (n = 330). Biotype classification, previously developed using cognitive and electrophysiological data and K-means clustering, was used to categorize psychosis probands into 3 Biotypes, with Biotype-1 (B-1) showing reduced neural salience and severe cognitive impairment. MAGeT-Brain segmentation was used to determine amygdala and hippocampal volumetric data and shape deformations. RESULTS When using Biotype classification, B-1 showed the strongest reductions in amygdala-hippocampal volume and the most widespread shape abnormalities. Using clinical diagnosis, probands with schizophrenia and schizoaffective disorder showed the most significant reductions of amygdala and hippocampal volumes and the most abnormal hippocampal shape compared with healthy controls. Biotype classification provided the strongest neuroanatomical differences compared with conventional DSM diagnoses, with the best discrimination seen using bilateral amygdala and right hippocampal volumes in B-1. CONCLUSION These findings characterize amygdala and hippocampal volumetric and shape abnormalities across the psychosis spectrum. Grouping individuals by Biotype showed greater between-group discrimination, suggesting a promising approach and a favorable target for characterizing biological heterogeneity across the psychosis spectrum.
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Affiliation(s)
- Synthia Guimond
- Department of Psychiatry, The Royal’s Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
- Department of Psychoeducation and Psychology, Université du Québec en Outaouais, Gatineau, QC, Canada
- Department of Psychiatry, Massachusetts Mental Health Center and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Department of Neuroscience, Carleton University, Ottawa, ON, Canada
| | - Feng Gu
- Department of Psychiatry, The Royal’s Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
| | - Holly Shannon
- Department of Psychiatry, The Royal’s Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
- Department of Neuroscience, Carleton University, Ottawa, ON, Canada
| | - Sinead Kelly
- Department of Psychiatry, Massachusetts Mental Health Center and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Luke Mike
- Department of Psychiatry, Massachusetts Mental Health Center and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Gabriel A Devenyi
- Department of Psychiatry, McGill University, Montréal, QC, Canada
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, QC, Canada
| | - M Mallar Chakravarty
- Department of Psychiatry, McGill University, Montréal, QC, Canada
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, QC, Canada
| | - John A Sweeney
- Department of Psychiatry, University of Cincinnati, Cincinnati, OH, USA
| | - Godfrey Pearlson
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Department of Neuroscience, Yale University, New Haven, CT, USA
| | - Brett A Clementz
- Department of Psychology, BioImaging Research Center, University of Georgia, Athens, GA, USA
- Department of and Neuroscience, BioImaging Research Center, University of Georgia, Athens, GA, USA
| | - Carol Tamminga
- Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Massachusetts Mental Health Center and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 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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Analysis of genetic differences between psychiatric disorders: exploring pathways and cell types/tissues involved and ability to differentiate the disorders by polygenic scores. Transl Psychiatry 2021; 11:426. [PMID: 34389699 PMCID: PMC8363629 DOI: 10.1038/s41398-021-01545-x] [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: 09/22/2020] [Revised: 07/13/2021] [Accepted: 08/02/2021] [Indexed: 02/07/2023] Open
Abstract
Although displaying genetic correlations, psychiatric disorders are clinically defined as categorical entities as they each have distinguishing clinical features and may involve different treatments. Identifying differential genetic variations between these disorders may reveal how the disorders differ biologically and help to guide more personalized treatment. Here we presented a statistical framework and comprehensive analysis to identify genetic markers differentially associated with various psychiatric disorders/traits based on GWAS summary statistics, covering 18 psychiatric traits/disorders and 26 comparisons. We also conducted comprehensive analysis to unravel the genes, pathways and SNP functional categories involved, and the cell types and tissues implicated. We also assessed how well one could distinguish between psychiatric disorders by polygenic risk scores (PRS). SNP-based heritabilities (h2snp) were significantly larger than zero for most comparisons. Based on current GWAS data, PRS have mostly modest power to distinguish between psychiatric disorders. For example, we estimated that AUC for distinguishing schizophrenia from major depressive disorder (MDD), bipolar disorder (BPD) from MDD and schizophrenia from BPD were 0.694, 0.602 and 0.618, respectively, while the maximum AUC (based on h2snp) were 0.763, 0.749 and 0.726, respectively. We also uncovered differences in each pair of studied traits in terms of their differences in genetic correlation with comorbid traits. For example, clinically defined MDD appeared to more strongly genetically correlated with other psychiatric disorders and heart disease, when compared to non-clinically defined depression in UK Biobank. Our findings highlight genetic differences between psychiatric disorders and the mechanisms involved. PRS may help differential diagnosis of selected psychiatric disorders in the future with larger GWAS samples.
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21
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Grunze H, Cetkovich-Bakmas M. "Apples and pears are similar, but still different things." Bipolar disorder and schizophrenia- discrete disorders or just dimensions ? J Affect Disord 2021; 290:178-187. [PMID: 34000571 DOI: 10.1016/j.jad.2021.04.064] [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: 11/06/2020] [Revised: 01/14/2021] [Accepted: 04/25/2021] [Indexed: 02/05/2023]
Abstract
Starting with the dichotomous view of Kraepelin, schizophrenia and bipolar disorder have traditionally been considered as separate entities. More recent, this taxonomic view of illnesses has been challenged and a continuum psychosis has been postulated based on genetic and neurobiological findings suggestive of a large overlap between disorders. In this paper we will review clinical and experimental data from genetics, morphology, phenomenology and illness progression demonstrating what makes schizophrenia and bipolar disorder different conditions, challenging the idea of the obsolescence of the categorical approach. However, perhaps it is also time to move beyond DSM and search for more refined clinical descriptions that could uncover clinical invariants matching better with molecular data. In the future, computational psychiatry employing artificial intelligence and machine learning might provide us a tool to overcome the gap between clinical descriptions (phenomenology) and neurobiology.
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Affiliation(s)
- Heinz Grunze
- Paracelsus Medical University, Nuremberg & Psychiatrie Schwäbisch Hall, Ringstrasse 1, 74523 Schwäbisch Hall, Germany.
| | - Marcelo Cetkovich-Bakmas
- Institute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
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22
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Rokita KI, Holleran L, Dauvermann MR, Mothersill D, Holland J, Costello L, Kane R, McKernan D, Morris DW, Kelly JP, Corvin A, Hallahan B, McDonald C, Donohoe G. Childhood trauma, brain structure and emotion recognition in patients with schizophrenia and healthy participants. Soc Cogn Affect Neurosci 2021; 15:1336-1350. [PMID: 33245126 PMCID: PMC7759212 DOI: 10.1093/scan/nsaa160] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 09/25/2020] [Accepted: 11/26/2020] [Indexed: 12/19/2022] Open
Abstract
Childhood trauma, and in particular physical neglect, has been repeatedly associated with lower performance on measures of social cognition (e.g. emotion recognition tasks) in both psychiatric and non-clinical populations. The neural mechanisms underpinning this association have remained unclear. Here, we investigated whether volumetric changes in three stress-sensitive regions—the amygdala, hippocampus and anterior cingulate cortex (ACC)—mediate the association between childhood trauma and emotion recognition in a healthy participant sample (N = 112) and a clinical sample of patients with schizophrenia (N = 46). Direct effects of childhood trauma, specifically physical neglect, on Emotion Recognition Task were observed in the whole sample. In healthy participants, reduced total and left ACC volumes were observed to fully mediate the association between both physical neglect and total childhood trauma score, and emotion recognition. No mediating effects of the hippocampus and amygdala volumes were observed for either group. These results suggest that reduced ACC volume may represent part of the mechanism by which early life adversity results in poorer social cognitive function. Confirmation of the causal basis of this association would highlight the importance of resilience-building interventions to mitigate the detrimental effects of childhood trauma on brain structure and function.
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Affiliation(s)
- Karolina I Rokita
- School of Psychology, National University of Ireland Galway, Galway, Ireland.,Centre for Neuroimaging, Cognition & Genomics, National University of Ireland Galway, Galway, Ireland
| | - Laurena Holleran
- School of Psychology, National University of Ireland Galway, Galway, Ireland.,Centre for Neuroimaging, Cognition & Genomics, National University of Ireland Galway, Galway, Ireland
| | - Maria R Dauvermann
- School of Psychology, National University of Ireland Galway, Galway, Ireland.,Centre for Neuroimaging, Cognition & Genomics, National University of Ireland Galway, Galway, Ireland.,Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, MIT, Cambridge, MA 02135, USA
| | - David Mothersill
- School of Psychology, National University of Ireland Galway, Galway, Ireland.,Centre for Neuroimaging, Cognition & Genomics, National University of Ireland Galway, Galway, Ireland.,School of Business, National College of Ireland, Dublin, Ireland
| | - Jessica Holland
- School of Psychology, National University of Ireland Galway, Galway, Ireland.,Centre for Neuroimaging, Cognition & Genomics, National University of Ireland Galway, Galway, Ireland
| | - Laura Costello
- Centre for Neuroimaging, Cognition & Genomics, National University of Ireland Galway, Galway, Ireland
| | - Ruán Kane
- School of Psychology, National University of Ireland Galway, Galway, Ireland
| | - Declan McKernan
- Pharmacology & Therapeutics, School of Medicine, National University of Ireland Galway, Galway, Ireland
| | - Derek W Morris
- Centre for Neuroimaging, Cognition & Genomics, National University of Ireland Galway, Galway, Ireland
| | - John P Kelly
- Pharmacology & Therapeutics, School of Medicine, National University of Ireland Galway, Galway, Ireland
| | - Aiden Corvin
- Department of Psychiatry, Trinity Centre for Health Sciences, St. James's Hospital, Dublin, Ireland
| | - Brian Hallahan
- Centre for Neuroimaging, Cognition & Genomics, National University of Ireland Galway, Galway, Ireland.,Department of Psychiatry, Clinical Science Institute, National University of Ireland Galway, Galway, Ireland
| | - Colm McDonald
- Centre for Neuroimaging, Cognition & Genomics, National University of Ireland Galway, Galway, Ireland.,Department of Psychiatry, Clinical Science Institute, National University of Ireland Galway, Galway, Ireland
| | - Gary Donohoe
- School of Psychology, National University of Ireland Galway, Galway, Ireland.,Centre for Neuroimaging, Cognition & Genomics, National University of Ireland Galway, Galway, Ireland
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23
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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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24
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Gao W, Cui D, Jiao Q, Su L, Yang R, Lu G. Brain structural alterations in pediatric bipolar disorder patients with and without psychotic symptoms. J Affect Disord 2021; 286:87-93. [PMID: 33714175 DOI: 10.1016/j.jad.2021.02.077] [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: 11/18/2020] [Revised: 01/02/2021] [Accepted: 02/28/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND Bipolar disorder (BD) with psychotic symptoms is a specific phenotype that presents greater risk of relapse and worse outcomes than nonpsychotic BD, however, the underlying mechanisms remain unknown and are less revealed in youth. Thus, the aims of the present study were to investigate brain structural alterations in pediatric bipolar disorder (PBD) patients with and without psychotic symptoms, and specifically to evaluate the impact of psychotic features on gray matter volume (GMV) in PBD patients. METHOD A total of 73 individuals were recruited into three groups, n = 28, psychotic PBD, P-PBD; n = 26, nonpsychotic PBD, NP-PBD; and n = 19, healthy controls, HC. All participants underwent high-resolution structural magnetic resonance scans. Voxel-based morphometry was used to investigate GMV alterations. Analyses of variance (ANOVA) were performed to obtain brain regions with significant differences among three groups and then post hoc tests were calculated for inter-group comparisons. RESULTS The ANOVA revealed significant GMV differences among three groups in the bilateral amygdala-hippocampus-parahippocampal complex (AMY-HIS-ParaHIS complex), left superior temporal gyrus (STG), left inferior frontal gyrus (IFG), bilateral putamen (PUT), left precentral gyrus (PG), left supramarginal gyrus (SMG), and right inferior parietal lobule (IPL). Compared with HCs, P-PBD patients showed decreased GMV in the bilateral AMY-HIS-ParaHIS complex, left STG, left IFG, bilateral PUT, and left PG; while NP-PBD patients exhibited decreased GMV in the left IFG, left PG, left SMG, and right IPL. Furthermore, P-PBD patients showed increased GMV in the right IPL when comparing to NP-PBD patients. LIMITATION The present findings require replication in larger samples and verification in medication free subjects. CONCLUSION The present findings suggested that psychotic features in PBD were associated with extensive brain structural lesions mainly located in the prefrontal-limbic-striatum circuit, which might represent the pathological basis of more sever symptoms in patients with psychotic PBD.
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Affiliation(s)
- Weijia Gao
- Department of Child Psychology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, Zhejiang, China
| | - Dong Cui
- Department of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong, China
| | - Qing Jiao
- Department of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong, China.
| | - Linyan Su
- Mental Health Institute, The Second Xiangya Hospital of Central South University, Key Laboratory of Psychiatry and Mental Health of Hunan Province, National Technology Institute of Psychiatry, Changsha, Hunan, China.
| | - Rongwang Yang
- Department of Child Psychology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, Zhejiang, China.
| | - Guangming Lu
- Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, Nanjing, Jiangsu, China
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25
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Kaul D, Schwab SG, Mechawar N, Matosin N. How stress physically re-shapes the brain: Impact on brain cell shapes, numbers and connections in psychiatric disorders. Neurosci Biobehav Rev 2021; 124:193-215. [PMID: 33556389 DOI: 10.1016/j.neubiorev.2021.01.025] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 01/20/2021] [Accepted: 01/31/2021] [Indexed: 12/16/2022]
Abstract
Severe stress is among the most robust risk factors for the development of psychiatric disorders. Imaging studies indicate that life stress is integral to shaping the human brain, especially regions involved in processing the stress response. Although this is likely underpinned by changes to the cytoarchitecture of cellular networks in the brain, we are yet to clearly understand how these define a role for stress in human psychopathology. In this review, we consolidate evidence of macro-structural morphometric changes and the cellular mechanisms that likely underlie them. Focusing on stress-sensitive regions of the brain, we illustrate how stress throughout life may lead to persistent remodelling of the both neurons and glia in cellular networks and how these may lead to psychopathology. We support that greater translation of cellular alterations to human cohorts will support parsing the psychological sequalae of severe stress and improve our understanding of how stress shapes the human brain. This will remain a critical step for improving treatment interventions and prevention outcomes.
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Affiliation(s)
- Dominic Kaul
- Illawarra Health and Medical Research Institute, Northfields Ave, Wollongong 2522, Australia; Molecular Horizons, School of Chemistry and Molecular Biosciences, University of Wollongong, Northfields Ave, Wollongong 2522, Australia
| | - Sibylle G Schwab
- Illawarra Health and Medical Research Institute, Northfields Ave, Wollongong 2522, Australia; Molecular Horizons, School of Chemistry and Molecular Biosciences, University of Wollongong, Northfields Ave, Wollongong 2522, Australia
| | - Naguib Mechawar
- Douglas Mental Health University Institute, 6875 LaSalle blvd, Verdun, Qc, H4H 1R3, Canada
| | - Natalie Matosin
- Illawarra Health and Medical Research Institute, Northfields Ave, Wollongong 2522, Australia; Molecular Horizons, School of Chemistry and Molecular Biosciences, University of Wollongong, Northfields Ave, Wollongong 2522, Australia; Max Planck Institute of Psychiatry, Kraepelinstrasse 2-10, 80804 Munich, Germany.
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26
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Yubo M, Lianjia H, Cuiping M, Liandong Z, Le L, Meijuan S, Ziming W, Xintao H, Jun Z. Changes in the Amplitude of Low-Frequency Fluctuation in Patients With Lifelong Premature Ejaculation by Resting-State Functional MRI. Sex Med 2021; 9:100287. [PMID: 33485114 PMCID: PMC7930883 DOI: 10.1016/j.esxm.2020.100287] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 11/11/2020] [Indexed: 11/18/2022] Open
Abstract
INTRODUCTION Dapoxetine is considered a first-line treatment for patients with lifelong premature ejaculation (PE), and current researches have showed with functional magnetic resonance imaging (fMRI) that patients with lifelong PE might have abnormal brain function, but differences in brain function before and after administration have not been reported. AIM The aim of this study was to determine some objective differences in brain function between patients with lifelong PE before and after administration and healthy individuals. METHODS In this study, 17 patients with lifelong PE and 11 healthy controls underwent clinical assessments and resting-state fMRI examination. After 4 weeks of treatment with dapoxetine 30 mg as needed, patients with PE underwent the same fMRI examination again 3 hours after dapoxetine administration. MAIN OUTCOME MEASURE The data were preprocessed using a data processing assistant for resting-state fMRI, and voxelwise amplitude of low-frequency fluctuation (ALFF) maps was calculated to identify abnormal neural activity in the brain. RESULTS (a) The ALFF of patients with PE was significantly lower in the bilateral hippocampus and thalamus and higher in the left fusiform and lingual gyrus than that of healthy controls; (b) decreased and increased ALFF in patients with PE recovered after dapoxetine administration. CONCLUSION We preliminarily identified the relevant sites by analyzing changes in the ALFF in patients with lifelong PE. Analyzing ALFF changes in the brain by resting-state fMRI is an effective method to study PE, and it might provide a reference for disease diagnosis and future research. Yubo M, Lianjia H, Cuiping M, et al. Changes in the Amplitude of Low-Frequency Fluctuation in Patients With Lifelong Premature Ejaculation by Resting-State Functional MRI. Sex Med 2021;9:100287.
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Affiliation(s)
- Ma Yubo
- Department of Urology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Huang Lianjia
- School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China
| | - Mao Cuiping
- Department of Medical Imaging, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Zhang Liandong
- Department of Urology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Liu Le
- Department of Medical Imaging, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Shi Meijuan
- Department of Medical Imaging, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Wang Ziming
- Department of Urology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Hu Xintao
- School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China.
| | - Zhao Jun
- Department of Urology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
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27
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Enwright JF, Lewis DA. Similarities in Cortical Transcriptome Alterations Between Schizophrenia and Bipolar Disorder Are Related to the Presence of Psychosis. Schizophr Bull 2021; 47:1442-1451. [PMID: 33442739 PMCID: PMC8379536 DOI: 10.1093/schbul/sbaa195] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Schizophrenia (SCZ) and bipolar disorder (BP) share a number of features. For example, multiple transcriptome analyses have reported molecular alterations common to both diagnoses, findings supported by the considerable overlap in the genetic risk for each disorder. These molecular similarities may underlie certain clinical features that are frequently present in both disorders. Indeed, many individuals with BP exhibit psychosis, and some individuals with SCZ have prominent mood symptoms that warrant the diagnosis of schizoaffective disorder (SA). To explore the potential relationships between molecular alterations and certain clinical features among subjects with these diagnoses, we analyzed RNA sequencing data from the dorsolateral prefrontal and anterior cingulate cortices, provided by the CommonMind Consortium, in subjects from the University of Pittsburgh Brain Tissue Donation Program. Relative to unaffected comparison subjects, in each brain region, robust differential gene expression was present only in SCZ, including a lower expression of genes involved in mitochondrial function and an elevated expression of immune-related genes. However, correlation analyses showed that BP subjects had similar, although less pronounced, gene expression alterations. Comparisons across subgroups of subjects revealed that the similarities between SCZ and BP subjects were principally due to the BP subjects with psychosis. Moreover, the gene expression profile in BP subjects with psychosis was more similar to "pure" SCZ and SA subjects than to BP subjects without psychosis. Together, these analyses suggest that similarities in gene expression between SCZ and BP are at least partially related to the presence of psychosis in some BP subjects.
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Affiliation(s)
- John F Enwright
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - David A Lewis
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA,Department of Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA,To whom correspondence should be addressed; tel: 412-624-1102, fax: 412-624-9910, e-mail:
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28
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Wilckens KA, Stillman CM, Waiwood AM, Kang C, Leckie RL, Peven JC, Foust JE, Fraundorf SH, Erickson KI. Exercise interventions preserve hippocampal volume: A meta-analysis. Hippocampus 2020; 31:335-347. [PMID: 33315276 DOI: 10.1002/hipo.23292] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 10/23/2020] [Accepted: 11/15/2020] [Indexed: 12/20/2022]
Abstract
Hippocampal volume is a marker of brain health and is reduced with aging and neurological disease. Exercise may be effective at increasing and preserving hippocampal volume, potentially serving as a treatment for conditions associated with hippocampal atrophy (e.g., dementia). This meta-analysis aimed to identify whether exercise training has a positive effect on hippocampal volume and how population characteristics and exercise parameters moderate this effect. Studies met the following criteria: (a) controlled trials; (b) interventions of physical exercise; (c) included at least one time-point of hippocampal volume data before the intervention and one after; (d) assessed hippocampal volume using either manual or automated segmentation algorithms. Animal studies, voxel-based morphometry analyses, and multi-modal interventions (e.g., cognitive training or meditation) were excluded. The primary analysis in n = 23 interventions from 22 published studies revealed a significant positive effect of exercise on total hippocampal volume. The overall effect was significant in older samples (65 years of age or older) and in interventions that lasted over 24 weeks and had less than 150 min per week of exercise. These findings suggest that moderate amounts of exercise for interventions greater than 6 months have a positive effect on hippocampal volume including in older populations vulnerable to hippocampal atrophy.
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Affiliation(s)
- Kristine A Wilckens
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Chelsea M Stillman
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Aashna M Waiwood
- Department of Psychology, University of South Florida, Tampa, Florida, USA
| | - Chaeryon Kang
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Regina L Leckie
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Jamie C Peven
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Jill E Foust
- Health Sciences Library System, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Scott H Fraundorf
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,Learning Research and Development Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Kirk I Erickson
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.,College of Science, Health, Engineering, and Education, Murdoch University, Perth, Australia
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29
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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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30
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Subcortical brain morphometry of avoidant personality disorder. J Affect Disord 2020; 274:1057-1061. [PMID: 32663932 DOI: 10.1016/j.jad.2020.05.127] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 03/25/2020] [Accepted: 05/17/2020] [Indexed: 01/07/2023]
Abstract
BACKGROUND Avoidant personality disorder (AvPD) is a condition typified by social inhibition, feelings of inadequacy, and hypersensitivity to negative evaluation. AvPD has a high comorbidity rate with other personality disorders and other psychological diagnostic categories. There is very little research investigating subcortical volumetry in AvPD. We studied subcortical brain morphometry in AvPD as compared to both healthy controls and comorbidity-matched psychiatric controls (patients in the same clinic matched for age, sex and all psychiatric diagnoses except for AvPD). METHODS We compared volumetric measures of 9 bilateral subcortical brain regions between AvPD patients, healthy controls, and psychiatric controls (n = 100 each group). The Bonferroni correction was used to control for multiple comparisons across regions (p < 0.0028). RESULTS Compared to healthy controls, AvPD patients had lower volume of the left accumbens and left thalamus. However, no significant results were found when comparing AvPD patients and psychiatric controls. An exploratory study of cortical regions showed similar results: statistically significant differences between HC and AvPD (left lateral occipital, left and right pericalcarine smaller in AvPD) but no differences between AvPD and PC. LIMITATIONS MRI and neuroimaging provides correlational information, and no causal claims can be made. CONCLUSIONS These results suggest there may be no overt subcortical volumetric differences specific to AvPD, and provide strong cautionary advice when comparing patients to healthy controls, a common practice in psychiatry biomarker research.
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Buck SA, Baratta AM, Pocivavsek A. Exposure to elevated embryonic kynurenine in rats: Sex-dependent learning and memory impairments in adult offspring. Neurobiol Learn Mem 2020; 174:107282. [PMID: 32738461 DOI: 10.1016/j.nlm.2020.107282] [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: 03/04/2020] [Revised: 07/21/2020] [Accepted: 07/25/2020] [Indexed: 12/14/2022]
Abstract
Distinct abnormalities in kynurenine pathway (KP) metabolism have been reported in various psychiatric disorders, including schizophrenia (SZ). Kynurenic acid (KYNA), a neuroactive metabolite of the KP, is elevated in individuals diagnosed with SZ and has been linked to cognitive impairments seen in the disorder. To further understand the role of KYNA in SZ etiology, we developed a prenatal insult model where kynurenine (100 mg/day) is fed to pregnant Wistar rats from embryonic day (ED) 15 to ED 22. As sex differences in the prevalence and severity of SZ have been observed, we presently investigated the impact of prenatal kynurenine exposure on KP metabolism and spatial learning and memory in male and female offspring. Specifically, brain tissue and plasma from offspring (control: ECon; kynurenine-treated: EKyn) in prepuberty (postnatal day (PD) 21), adolescence (PD 32-35), and adulthood (PD 56-85) were collected. Separate cohorts of adult offspring were tested in the Barnes maze to assess hippocampus- and prefrontal cortex-mediated learning and memory. Plasma tryptophan, kynurenine, and KYNA were unchanged between ECon and EKyn offspring across all three ages. Hippocampal and frontal cortex KYNA were elevated in male EKyn offspring only in adulthood, compared to ECon, while brain KYNA levels were unchanged in adult females. Male EKyn offspring were significantly impaired during acquisition of the Barnes maze and during reversal learning in the task. In female EKyn offspring, learning and memory remained relatively intact. Taken together, our data demonstrate that exposure to elevated kynurenine during the last week of gestation results in intriguing sex differences and further support the EKyn model as an attractive tool to study the pathophysiology of schizophrenia.
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Affiliation(s)
- Silas A Buck
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Annalisa M Baratta
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ana Pocivavsek
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA; Department of Pharmacology, Physiology, and Neuroscience, University of South Carolina School of Medicine, Columbia, SC, USA.
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Hou M, de Chastelaine M, Jayakumar M, Donley BE, Rugg MD. Recollection-related hippocampal fMRI effects predict longitudinal memory change in healthy older adults. Neuropsychologia 2020; 146:107537. [PMID: 32569610 DOI: 10.1016/j.neuropsychologia.2020.107537] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 06/11/2020] [Accepted: 06/12/2020] [Indexed: 02/07/2023]
Abstract
Prior fMRI studies have reported relationships between memory-related activity in the hippocampus and in-scanner memory performance, but whether such activity is predictive of longitudinal memory change remains unclear. Here, we administered a neuropsychological test battery to a sample of cognitively healthy older adults on three occasions, the second and third sessions occurring one month and three years after the first session. Structural and functional MRI data were acquired between the first two sessions. The fMRI data were derived from an associative recognition procedure and allowed estimation of hippocampal effects associated with both successful associative encoding and successful associative recognition (recollection). Baseline memory performance and memory change were evaluated using memory component scores derived from a principal components analysis of the neuropsychological test scores. Across participants, right hippocampal encoding effects correlated significantly with baseline memory performance after controlling for chronological age. Additionally, both left and right hippocampal associative recognition effects correlated negatively with longitudinal memory decline after controlling for age, and the relationship with the left hippocampal effect remained after also controlling for left hippocampal volume. Thus, in cognitively healthy older adults, the magnitude of hippocampal recollection effects appears to be a robust predictor of future memory change.
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Affiliation(s)
- Mingzhu Hou
- Center for Vital Longevity and School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX, 75235, USA.
| | - Marianne de Chastelaine
- Center for Vital Longevity and School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX, 75235, USA
| | - Manasi Jayakumar
- Center for Vital Longevity and School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX, 75235, USA
| | - Brian E Donley
- Center for Vital Longevity and School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX, 75235, USA
| | - Michael D Rugg
- Center for Vital Longevity and School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX, 75235, USA; School of Psychology, University of East Anglia, Norwich, NR4 7TJ, UK
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Zhang W, Lei D, Keedy SK, Ivleva EI, Eum S, Yao L, Tamminga CA, Clementz BA, Keshavan MS, Pearlson GD, Gershon ES, Bishop JR, Gong Q, Lui S, Sweeney JA. Brain gray matter network organization in psychotic disorders. Neuropsychopharmacology 2020; 45:666-674. [PMID: 31812151 PMCID: PMC7021697 DOI: 10.1038/s41386-019-0586-2] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 11/25/2019] [Accepted: 11/30/2019] [Indexed: 02/05/2023]
Abstract
Abnormal neuroanatomic brain networks have been reported in schizophrenia, but their characterization across patients with psychotic disorders, and their potential alterations in nonpsychotic relatives, remain to be clarified. Participants recruited by the Bipolar and Schizophrenia Network for Intermediate Phenotypes consortium included 326 probands with psychotic disorders (107 with schizophrenia (SZ), 87 with schizoaffective disorder (SAD), 132 with psychotic bipolar disorder (BD)), 315 of their nonpsychotic first-degree relatives and 202 healthy controls. Single-subject gray matter graphs were extracted from structural MRI scans, and whole-brain neuroanatomic organization was compared across the participant groups. Compared with healthy controls, psychotic probands showed decreased nodal efficiency mainly in bilateral superior temporal regions. These regions had altered morphological relationships primarily with frontal lobe regions, and their network-level alterations were associated with positive symptoms of psychosis. Nonpsychotic relatives showed lower nodal centrality metrics in the prefrontal cortex and subcortical regions, and higher nodal centrality metrics in the left cingulate cortex and left thalamus. Diagnosis-specific analysis indicated that individuals with SZ had lower nodal efficiency in bilateral superior temporal regions than controls, probands with SAD only exhibited lower nodal efficiency in the left superior and middle temporal gyrus, and individuals with psychotic BD did not show significant differences from healthy controls. Our findings provide novel evidence of clinically relevant disruptions in the anatomic association of the superior temporal lobe with other regions of whole-brain networks in patients with psychotic disorders, but not in their unaffected relatives, suggesting that it is a disease-related trait. Network disorganization primarily involving frontal lobe and subcortical regions in nonpsychotic relatives may be related to familial illness risk.
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Affiliation(s)
- Wenjing Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Du Lei
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA
| | - Sarah K Keedy
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - Elena I Ivleva
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Seenae Eum
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
| | - Li Yao
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Brett A Clementz
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Godfrey D Pearlson
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT, USA
| | - Elliot S Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - Jeffrey R Bishop
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China.
| | - Su Lui
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China.
| | - John A Sweeney
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China.
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA.
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Bobilev AM, Perez JM, Tamminga CA. Molecular alterations in the medial temporal lobe in schizophrenia. Schizophr Res 2020; 217:71-85. [PMID: 31227207 DOI: 10.1016/j.schres.2019.06.001] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 05/29/2019] [Accepted: 06/01/2019] [Indexed: 11/30/2022]
Abstract
The medial temporal lobe (MTL) and its individual structures have been extensively implicated in schizophrenia pathophysiology, with considerable efforts aimed at identifying structural and functional differences in this brain region. The major structures of the MTL for which prominent differences have been revealed include the hippocampus, the amygdala and the superior temporal gyrus (STG). The different functions of each of these regions have been comprehensively characterized, and likely contribute differently to schizophrenia. While neuroimaging studies provide an essential framework for understanding the role of these MTL structures in various aspects of the disease, ongoing efforts have sought to employ molecular measurements in order to elucidate the biology underlying these macroscopic differences. This review provides a summary of the molecular findings in three major MTL structures, and discusses convergent findings in cellular architecture and inter-and intra-cellular networks. The findings of this effort have uncovered cell-type, network and gene-level specificity largely unique to each brain region, indicating distinct molecular origins of disease etiology. Future studies should test the functional implications of these molecular changes at the circuit level, and leverage new advances in sequencing technology to further refine our understanding of the differential contribution of MTL structures to schizophrenia.
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Affiliation(s)
- Anastasia M Bobilev
- Department of Psychiatry, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, United States of America.
| | - Jessica M Perez
- Department of Psychiatry, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, United States of America.
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, United States of America.
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Ahuja S, Gupta RK, Damodharan D, Philip M, Venkatasubramanian G, Keshavan MS, Hegde S. Effect of music listening on P300 event-related potential in patients with schizophrenia: A pilot study. Schizophr Res 2020; 216:85-96. [PMID: 31924375 PMCID: PMC7613152 DOI: 10.1016/j.schres.2019.12.026] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2019] [Revised: 11/30/2019] [Accepted: 12/20/2019] [Indexed: 02/05/2023]
Abstract
Reduced amplitude and increased latency of P300 auditory event-related potential (ERP) in patients with schizophrenia (SZ) indicate impairment in attention. Overall arousal level can determine the amount of processing capacity required for attention allocation. Music evokes strong emotions and regulates arousability. Music has been used to modulate P300, especially in normals. This exploratory study examined the effect of music listening on the amplitude and latency of P300 in SZ patients. EEG/ERP was recorded (32-channels) while SZ patients (n = 20; 18-45 years) performed an auditory oddball P300 task after the eyes-closed rest condition (Condition-A) and ten-minute music listening condition (Condition-B) as per the complete counterbalancing design (AB-BA). Patients listened to the researcher chosen, instrumental presentation of raag-Bhoopali in the North-Indian-Classical-Music, for ten-minutes. All patients rated the music excerpt as a relaxing and positively valenced. A significant increase in accuracy score and reaction time during the oddball task after music listening was noted. There was an increase in amplitude at TP7. A trend of increased amplitude was noted across all electrodes in the music condition compared to the rest condition. Mean amplitude in an apriori defined time window of interest (250 to 750 ms) showed significant changes in the frontal and central electrode sites. Power spectral analysis indicated a slight increase in frontal and central alpha and theta activity during music listening. However, this was not statistically significant. Findings add further impetus to examine the effect of music in chronic psychiatric conditions. Need for systematic studies on a larger cohort is underscored.
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Affiliation(s)
- Shikha Ahuja
- Clinical Neuropsychology & Cognitive Neuroscience Centre and Music Cognition Laboratory, Department of Clinical Psychology, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bengaluru, KA, India
| | - Rajnish Kumar Gupta
- Clinical Neuropsychology & Cognitive Neuroscience Centre, Department of Clinical Psychology, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bengaluru, KA, India
| | - Dinakaran Damodharan
- Translational Psychiatry Laboratory, Department of Psychiatry, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bengaluru, KA, India
| | - Mariamma Philip
- Department of Biostatistics, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bengaluru, KA, India
| | - Ganesan Venkatasubramanian
- Translational Psychiatry Laboratory, Department of Psychiatry, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bengaluru, KA, India
| | - Matcheri S. Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center Massachusetts Mental Health Center, Harvard Medical School, 75 Fenwood Rd., Boston, MA 02115, USA
| | - Shantala Hegde
- Clinical Neuropsychology & Cognitive Neuroscience Centre and Music Cognition Laboratory, Department of Clinical Psychology, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bengaluru, KA, India.
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37
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Affiliation(s)
- René S Kahn
- Department of Psychiatry and Behavioral Health System, Icahn School of Medicine at Mount Sinai, New York; and James J. Peters Veterans Affairs Medical Center, Bronx, N.Y
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Alliey-Rodriguez N, Grey TA, Shafee R, Asif H, Lutz O, Bolo NR, Padmanabhan J, Tandon N, Klinger M, Reis K, Spring J, Coppes L, Zeng V, Hegde RR, Hoang DT, Bannai D, Nawaz U, Henson P, Liu S, Gage D, McCarroll S, Bishop JR, Hill S, Reilly JL, Lencer R, Clementz BA, Buckley P, Glahn DC, Meda SA, Narayanan B, Pearlson G, Keshavan MS, Ivleva EI, Tamminga C, Sweeney JA, Curtis D, Badner JA, Keedy S, Rapoport J, Liu C, Gershon ES. NRXN1 is associated with enlargement of the temporal horns of the lateral ventricles in psychosis. Transl Psychiatry 2019; 9:230. [PMID: 31530798 PMCID: PMC6748921 DOI: 10.1038/s41398-019-0564-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Revised: 07/11/2019] [Accepted: 07/30/2019] [Indexed: 12/19/2022] Open
Abstract
Schizophrenia, Schizoaffective, and Bipolar disorders share behavioral and phenomenological traits, intermediate phenotypes, and some associated genetic loci with pleiotropic effects. Volumetric abnormalities in brain structures are among the intermediate phenotypes consistently reported associated with these disorders. In order to examine the genetic underpinnings of these structural brain modifications, we performed genome-wide association analyses (GWAS) on 60 quantitative structural brain MRI phenotypes in a sample of 777 subjects (483 cases and 294 controls pooled together). Genotyping was performed with the Illumina PsychChip microarray, followed by imputation to the 1000 genomes multiethnic reference panel. Enlargement of the Temporal Horns of Lateral Ventricles (THLV) is associated with an intronic SNP of the gene NRXN1 (rs12467877, P = 6.76E-10), which accounts for 4.5% of the variance in size. Enlarged THLV is associated with psychosis in this sample, and with reduction of the hippocampus and enlargement of the choroid plexus and caudate. Eight other suggestively significant associations (P < 5.5E-8) were identified with THLV and 5 other brain structures. Although rare deletions of NRXN1 have been previously associated with psychosis, this is the first report of a common SNP variant of NRXN1 associated with enlargement of the THLV in psychosis.
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Affiliation(s)
- Ney Alliey-Rodriguez
- University of Chicago, Department of Psychiatry and Behavioral Neurosciences, Chicago, USA.
| | - Tamar A. Grey
- 0000 0001 2341 2786grid.116068.8Massachusetts Institute of Technology, Cambridge, USA
| | - Rebecca Shafee
- 000000041936754Xgrid.38142.3cHarvard Medical School, Department of Genetics, Boston, USA ,grid.66859.34Stanley Center, Broad Institute of MIT and Harvard, Cambridge, USA
| | - Huma Asif
- University of Chicago, Department of Psychiatry and Behavioral Neurosciences, Chicago, USA
| | - Olivia Lutz
- 000000041936754Xgrid.38142.3cHarvard Medical School, Department of Psychiatry, Boston, USA
| | - Nicolas R. Bolo
- 000000041936754Xgrid.38142.3cHarvard Medical School, Department of Psychiatry, Boston, USA
| | - Jaya Padmanabhan
- 000000041936754Xgrid.38142.3cHarvard Medical School, Department of Psychiatry, Boston, USA
| | - Neeraj Tandon
- 000000041936754Xgrid.38142.3cHarvard Medical School, Department of Psychiatry, Boston, USA
| | - Madeline Klinger
- University of Chicago, Department of Psychiatry and Behavioral Neurosciences, Chicago, USA
| | - Katherine Reis
- University of Chicago, Department of Psychiatry and Behavioral Neurosciences, Chicago, USA
| | - Jonathan Spring
- University of Chicago Laboratory for Advanced Computing, Chicago, USA
| | - Lucas Coppes
- University of Chicago, Department of Psychiatry and Behavioral Neurosciences, Chicago, USA
| | - Victor Zeng
- 000000041936754Xgrid.38142.3cHarvard University, Cambridge, USA
| | - Rachal R. Hegde
- 0000 0004 1936 7558grid.189504.1Boston University, Boston, USA
| | - Dung T. Hoang
- 000000041936754Xgrid.38142.3cHarvard University, Cambridge, USA
| | - Deepthi Bannai
- 0000 0004 1936 7558grid.189504.1Boston University, Boston, USA
| | - Uzma Nawaz
- 0000 0004 1936 7558grid.189504.1Boston University, Boston, USA
| | - Philip Henson
- 000000041936754Xgrid.38142.3cHarvard University, Cambridge, USA
| | - Siyuan Liu
- 0000 0001 2297 5165grid.94365.3dChild Psychiatry Branch, National Institutes of Mental Health, National Institutes of Health, Bethesda, MD USA
| | - Diane Gage
- grid.66859.34Broad Institute of MIT and Harvard, Cambridge, USA
| | | | - Jeffrey R. Bishop
- 0000000419368657grid.17635.36University of Minnesota, Department of Experimental and Clinical Pharmacology and Department of Psychiatry, Minneapolis, USA
| | - Scot Hill
- 0000 0004 0388 7807grid.262641.5Rosalind Franklin University, North Chicago, USA
| | - James L. Reilly
- 0000 0001 2299 3507grid.16753.36Northwestern University, Evanston, USA
| | - Rebekka Lencer
- 0000 0001 2172 9288grid.5949.1University of Muenster, Munster, Germany
| | - Brett A. Clementz
- 0000 0000 9564 9822grid.264978.6Department of Psychology, University of Georgia, Athens, Georgia
| | - Peter Buckley
- 0000 0004 0458 8737grid.224260.0Virginia Commonwealth University, Richmond, USA
| | - David C. Glahn
- 0000000419368710grid.47100.32Yale University Departments of Psychiatry & Neuroscience, New Haven, USA
| | - Shashwath A. Meda
- 0000000419368710grid.47100.32Yale University Departments of Psychiatry & Neuroscience, New Haven, USA
| | - Balaji Narayanan
- 0000000419368710grid.47100.32Yale University Departments of Psychiatry & Neuroscience, New Haven, USA
| | - Godfrey Pearlson
- 0000000419368710grid.47100.32Yale University Departments of Psychiatry & Neuroscience, New Haven, USA
| | - Matcheri S. Keshavan
- 000000041936754Xgrid.38142.3cHarvard Medical School, Department of Psychiatry, Boston, USA
| | - Elena I. Ivleva
- 0000 0000 9482 7121grid.267313.2University of Texas Southwestern Medical Center, Department of Psychiatry, Dallas, USA
| | - Carol Tamminga
- 0000 0000 9482 7121grid.267313.2University of Texas Southwestern Medical Center, Department of Psychiatry, Dallas, USA
| | - John A. Sweeney
- 0000 0000 9482 7121grid.267313.2University of Texas Southwestern Medical Center, Department of Psychiatry, Dallas, USA
| | - David Curtis
- 0000 0001 2171 1133grid.4868.2University College London and Centre for Psychiatry, Barts and the London School of Medicine and Dentistry, London, UK
| | - Judith A. Badner
- 0000 0001 0705 3621grid.240684.cRush University Medical Center, Chicago, USA
| | - Sarah Keedy
- University of Chicago, Department of Psychiatry and Behavioral Neurosciences, Chicago, USA
| | - Judith Rapoport
- 0000 0001 2297 5165grid.94365.3dChild Psychiatry Branch, National Institutes of Mental Health, National Institutes of Health, Bethesda, MD USA
| | - Chunyu Liu
- 0000 0000 9159 4457grid.411023.5SUNY Upstate Medical University, Binghamton, USA
| | - Elliot S. Gershon
- University of Chicago, Department of Psychiatry and Behavioral Neurosciences, Chicago, USA ,University of Chicago, Department of Human Genetics, Chicago, USA
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Smeeth DM, Dima D, Jones L, Jones I, Craddock N, Owen MJ, Rietschel M, Maier W, Korszun A, Rice JP, Mors O, Preisig M, Uher R, Lewis CM, Thuret S, Powell TR. Polygenic risk for circulating reproductive hormone levels and their influence on hippocampal volume and depression susceptibility. Psychoneuroendocrinology 2019; 106:284-292. [PMID: 31039525 PMCID: PMC6597945 DOI: 10.1016/j.psyneuen.2019.04.011] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Revised: 04/04/2019] [Accepted: 04/09/2019] [Indexed: 12/13/2022]
Abstract
Altered reproductive hormone levels have been associated with the pathophysiology of depressive disorders and this risk may be imparted by their modulatory effect upon hippocampal structure and function. Currently it is unclear whether altered levels of reproductive hormones are causally associated with hippocampal volume reductions and the risk of depressive disorders. Here, we utilize genome-wide association study (GWAS) summary statistics from a GWAS focusing on reproductive hormones, consisting of 2913 individuals. Using this data, we generated polygenic risk scores (PRS) for estradiol, progesterone, prolactin and testosterone in the European RADIANT cohort consisting of 176 postpartum depression (PPD) cases (100% female, mean age: 41.6 years old), 2772 major depressive disorder (MDD) cases (68.6% female, mean age: 46.9 years old) and 1588 control participants (62.5% female, mean age: 42.4 years old), for which there was also a neuroimaging subset of 111 individuals (60.4% female, mean age: 50.0 years old). Only the best-fit PRS for estradiol showed a significant negative association with hippocampal volume, as well as many of its individual subfields; including the molecular layer and granule cell layer of the dentate gyrus, subiculum, CA1, CA2/3 and CA4 regions. Interestingly, several of these subfields are implicated in adult hippocampal neurogenesis. When we tested the same estradiol PRS for association with case-control status for PPD or MDD there was no significant relationship observed. Here, we provide evidence that genetic risk for higher plasma estradiol is negatively associated with hippocampal volume, but this does not translate into an increased risk of MDD or PPD. This work suggests that the relationship between reproductive hormones, the hippocampus, and depression is complex, and that there may not be a clear-cut pathway for etiology or risk moderation.
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Affiliation(s)
- Demelza M Smeeth
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Danai Dima
- Department of Psychology, School of Arts and Social Sciences, City, University of London, London, UK; Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Lisa Jones
- Institute of Health & Society, University of Worcester, Worcester, UK
| | - Ian Jones
- MRC Centre for Neuropsychiatric Genetics and Genomics, Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
| | - Nick Craddock
- MRC Centre for Neuropsychiatric Genetics and Genomics, Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
| | - Michael J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
| | - Marcella Rietschel
- Department of Psychiatry, University of Bonn, Bonn, Germany; Division of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Mannheim, Germany
| | - Wolfgang Maier
- Department of Psychiatry, University of Bonn, Bonn, Germany
| | - Ania Korszun
- Barts and The London Medical School, Queen Mary University of London, London, UK
| | - John P Rice
- Department of Psychiatry, Washington University, St. Louis, Missouri, USA
| | - Ole Mors
- Psychosis Research Unit, Aarhus University Hospital, Risskov, Denmark
| | - Martin Preisig
- University Hospital Center and University of Lausanne, Lausanne, Switzerland
| | - Rudolf Uher
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Cathryn M Lewis
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Sandrine Thuret
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Timothy R Powell
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
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40
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Effects of Neonatal Administration of Memantine on Hippocampal Asymmetry and Working Memory Impairment Induced by Early Maternal Deprivation in Rats. NEUROPHYSIOLOGY+ 2019. [DOI: 10.1007/s11062-019-09799-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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41
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Hall MH, Holton KM, Öngür D, Montrose D, Keshavan MS. Longitudinal trajectory of early functional recovery in patients with first episode psychosis. Schizophr Res 2019; 209:234-244. [PMID: 30826261 PMCID: PMC7003957 DOI: 10.1016/j.schres.2019.02.003] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Revised: 01/11/2019] [Accepted: 02/05/2019] [Indexed: 10/27/2022]
Abstract
BACKGROUND There is a large variability in the recovery trajectory and outcome of first episode of psychosis [FEP] patients. To date, individuals' outcome trajectories at early stage of illness and potential risk factors associated with a poor outcome trajectory are largely unknown. This study aims to apply three separate predictors (positive symptoms, negative symptoms, and soft neurological signs) to identify homogeneous function outcome trajectories in patients with FEP using objective data-driven methods, and to explore the potential risk /protective factors associated with each trajectory. METHODS A total of 369 first episode patients (93% antipsychotic naive) were included in the baseline assessments and followed-up at 4-8 weeks, 6 months, and 1 year. K means cluster modeling for longitudinal data (kml3d) was used to identify distinct, homogeneous clusters of functional outcome trajectories. Patients with at least 3 assessments were included in the trajectory analyses (N = 129). The Scale for the Assessment of Negative Symptoms (SANS), Scale for the Assessment of Positive Symptoms (SAPS), and Neurological examination abnormalities (NEA) were used as predictors against Global Assessment of Functioning Scale (GAF). RESULTS In each of the three predictor models, four distinct functional outcome trajectories emerged: "Poor", "Intermediate", High" and "Catch-up". Individuals with male gender; ethnic minority status; low premorbid adjustment; low executive function/IQ, low SES, personality disorder, substance use history may be risk factors for poor recovery. CONCLUSIONS Functioning recovery in individuals with FEP is heterogeneous, although distinct recovery profiles are apparent. Data-driven trajectory analysis can facilitate better characterization of individual longitudinal patterns of functioning recovery.
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Affiliation(s)
- Mei-Hua Hall
- Psychotic Disorders Division, McLean Hospital HMS, Boston, MA, USA.
| | | | - Dost Öngür
- Psychotic Disorders Division, McLean Hospital HMS, Boston, MA
| | - Debra Montrose
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA
| | - Matcheri S. Keshavan
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA,,Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, HMS, Boston, MA
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42
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Mitelman SA. Transdiagnostic neuroimaging in psychiatry: A review. Psychiatry Res 2019; 277:23-38. [PMID: 30639090 DOI: 10.1016/j.psychres.2019.01.026] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Revised: 01/07/2019] [Accepted: 01/07/2019] [Indexed: 01/10/2023]
Abstract
Transdiagnostic approach has a long history in neuroimaging, predating its recent ascendance as a paradigm for new psychiatric nosology. Various psychiatric disorders have been compared for commonalities and differences in neuroanatomical features and activation patterns, with different aims and rationales. This review covers both structural and functional neuroimaging publications with direct comparison of different psychiatric disorders, including schizophrenia, bipolar disorder, major depressive disorder, autism spectrum disorder, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, conduct disorder, anorexia nervosa, and bulimia nervosa. Major findings are systematically presented along with specific rationales for each comparison.
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Affiliation(s)
- Serge A Mitelman
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA; Department of Psychiatry, Division of Child and Adolescent Psychiatry, Elmhurst Hospital Center, 79-01 Broadway, Elmhurst, NY 11373, USA.
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43
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Ge R, Kot P, Liu X, Lang DJ, Wang JZ, Honer WG, Vila-Rodriguez F. Parcellation of the human hippocampus based on gray matter volume covariance: Replicable results on healthy young adults. Hum Brain Mapp 2019; 40:3738-3752. [PMID: 31115118 DOI: 10.1002/hbm.24628] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 03/25/2019] [Accepted: 04/29/2019] [Indexed: 12/31/2022] Open
Abstract
The hippocampus is a key brain region that participates in a range of cognitive and affective functions, and is involved in the etiopathogenesis of numerous neuropsychiatric disorders. The structural complexity and functional diversity of the hippocampus suggest the existence of structural and functional subdivisions within this structure. For the first time, we parcellated the human hippocampus with two independent data sets, each of which consisted of 198 T1-weighted structural magnetic resonance imaging (sMRI) images of healthy young subjects. The method was based on gray matter volume (GMV) covariance, which was quantified by a bivariate voxel-to-voxel linear correlation approach, as well as a multivariate masked independent component analysis approach. We subsequently interrogated the relationship between the GMV covariance patterns and the functional connectivity patterns of the hippocampal subregions using sMRI and resting-state functional MRI (fMRI) data from the same participants. Seven distinct GMV covariance-based subregions were identified for bilateral hippocampi, with robust reproducibility across the two data sets. We further demonstrated that the structural covariance patterns of the hippocampal subregions had a correspondence with the intrinsic functional connectivity patterns of these subregions. Together, our results provide a topographical configuration of the hippocampus with converging structural and functional support. The resulting subregions may improve our understanding of the hippocampal connectivity and functions at a subregional level, which provides useful parcellations and masks for future neuroscience and clinical research on the structural and/or functional connectivity of the hippocampus.
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Affiliation(s)
- Ruiyang Ge
- Non-Invasive Neurostimulation Therapies (NINET) Laboratory, Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Paul Kot
- Non-Invasive Neurostimulation Therapies (NINET) Laboratory, Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Xiang Liu
- Non-Invasive Neurostimulation Therapies (NINET) Laboratory, Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Donna J Lang
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jane Z Wang
- Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia, Canada
| | - William G Honer
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Fidel Vila-Rodriguez
- Non-Invasive Neurostimulation Therapies (NINET) Laboratory, Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
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44
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Kargar M, Askari S, Khoshaman A, Mohammadi A. Differential diagnosis of schizophrenia and schizoaffective disorder from normal subjects using virtual reality. Psychiatry Res 2019; 273:378-386. [PMID: 30682560 DOI: 10.1016/j.psychres.2019.01.037] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 01/01/2019] [Accepted: 01/11/2019] [Indexed: 01/08/2023]
Abstract
Dysfunction of allocentric and egocentric memories is one of the core features of psychiatric disorders. There are a few navigational studies on these memories in schizophrenia and bipolar disorders, but studies in schizoaffective disorder are lacking. Here, we aim to explore allocentric and egocentric navigation deficits in these subjects using our advanced recently developed virtual reality navigation task (VRNT). Twenty patients with schizophrenia and 20 with schizoaffective disorder were compared with 20 normal volunteer subjects on VRNTs consisting of a virtual neighbourhood (allocentric memory) and a virtual maze (egocentric memory). Compared with schizoaffective disorder and control subjects, patients with schizophrenia had the worst performance on both virtual neighbourhood and virtual maze tasks. The allocentric memory in both patients with schizophrenia and those with schizoaffective disorder was more impaired than the egocentric memory (p ˂ 0.001). However, the patients with schizoaffective disorder performed better in egocentric memory than those with schizophrenia, as they had fewer errors in the virtual maze. It was concluded that allocentric memory is more impaired than egocentric in both schizoaffective disorder and schizophrenia patients, whereas patients with schizoaffective disorder performed better in egocentric memory than patients with schizophrenia. It was also concluded that allocentric memory deficits can help differentiate patients with schizophrenia and schizoaffective disorder from healthy participants, whereas egocentric memory deficits can be used to distinguish them from each other.
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Affiliation(s)
- Mahmoud Kargar
- Department of Speech Therapy, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran
| | - Sajad Askari
- Department of Urban Planning, Shiraz University, Shiraz, Iran
| | | | - Alireza Mohammadi
- Neuroscience Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.
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45
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Development of the MAM model of schizophrenia in mice: Sex similarities and differences of hippocampal and prefrontal cortical function. Neuropharmacology 2019; 144:193-207. [DOI: 10.1016/j.neuropharm.2018.10.026] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Revised: 10/06/2018] [Accepted: 10/19/2018] [Indexed: 12/31/2022]
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46
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Huhtaniska S, Korkala I, Heikka T, Björnholm L, Lehtiniemi H, Hulkko AP, Moilanen J, Tohka J, Manjón J, Coupé P, Kiviniemi V, Isohanni M, Koponen H, Murray GK, Miettunen J, Jääskeläinen E. Antipsychotic and benzodiazepine use and brain morphology in schizophrenia and affective psychoses - Systematic reviews and birth cohort study. Psychiatry Res Neuroimaging 2018; 281:43-52. [PMID: 30219591 DOI: 10.1016/j.pscychresns.2018.08.015] [Citation(s) in RCA: 2] [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: 12/19/2017] [Revised: 08/23/2018] [Accepted: 08/23/2018] [Indexed: 10/28/2022]
Abstract
The aim of this paper was to investigate differences in brain structure volumes between schizophrenia and affective psychoses, and whether cumulative lifetime antipsychotic or benzodiazepine doses relate to brain morphology in these groups. We conducted two systematic reviews on the topic and investigated 44 schizophrenia cases and 19 with affective psychoses from the Northern Finland Birth Cohort 1966. The association between lifetime antipsychotic and benzodiazepine dose and brain MRI scans at the age of 43 was investigated using linear regression. Intracranial volume, sex, illness severity, and antipsychotic/benzodiazepine doses were used as covariates. There were no differences between the groups in brain structure volumes. In schizophrenia, after adjusting for benzodiazepine dose and symptoms, a negative association between lifetime antipsychotic dose and the nucleus accumbens volume remained. In affective psychoses, higher lifetime benzodiazepine dose associated with larger volumes of total gray matter and hippocampal volume after controlling for antipsychotic use and symptoms. It seems that in addition to antipsychotics, the severity of symptoms and benzodiazepine dose are also associated with brain structure volumes. These results suggest, that benzodiazepine effects should also be investigated also independently and not only as a confounder.
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Affiliation(s)
- Sanna Huhtaniska
- Center for Life Course Health Research, University of Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Finland; Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Finland.
| | - Iikka Korkala
- Center for Life Course Health Research, University of Oulu, Finland; Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Finland
| | - Tuomas Heikka
- Center for Life Course Health Research, University of Oulu, Finland
| | - Lassi Björnholm
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Finland; Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Finland
| | - Heli Lehtiniemi
- Center for Life Course Health Research, University of Oulu, Finland
| | - Anja P Hulkko
- Center for Life Course Health Research, University of Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Finland; Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Finland
| | - Jani Moilanen
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Finland
| | - Jussi Tohka
- AI Virtanen Institute for Molecular Sciences, University of Eastern Finland, Finland
| | - José Manjón
- Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Spain
| | - Pierrick Coupé
- Laboratoire Bordelais de Recherche en Informatique, Unité Mixte de Recherche CNRS (UMR 5800), PICTURA Research Group, France
| | - Vesa Kiviniemi
- Department of Diagnostic Radiology, Oulu University Hospital, Finland
| | - Matti Isohanni
- Center for Life Course Health Research, University of Oulu, Finland; Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, Finland; Department of Psychiatry, Oulu University Hospital, Finland
| | - Hannu Koponen
- University of Helsinki, Helsinki University Hospital, Psychiatry, Helsinki, Finland
| | - Graham K Murray
- University of Cambridge, Department of Psychiatry, United Kingdom; University of Cambridge, Behavioural and Clinical Neuroscience Institute, United Kingdom
| | - Jouko Miettunen
- Center for Life Course Health Research, University of Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Finland
| | - Erika Jääskeläinen
- Center for Life Course Health Research, University of Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Finland; Department of Psychiatry, Oulu University Hospital, Finland
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47
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Neuroimaging hippocampal subfields in schizophrenia and bipolar disorder: A systematic review and meta-analysis. J Psychiatr Res 2018; 104:217-226. [PMID: 30107268 DOI: 10.1016/j.jpsychires.2018.08.012] [Citation(s) in RCA: 106] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Revised: 07/27/2018] [Accepted: 08/06/2018] [Indexed: 01/15/2023]
Abstract
The hippocampus is a complex structure consisting of subregions with specialized cytoarchitecture and functions. Magnetic resonance imaging (MRI) studies in psychotic disorders show hippocampal subfield abnormalities, but affected regions differ between studies. We here present an overview of hippocampal anatomy and function relevant to psychosis, and the first systematic review and meta-analysis of MRI studies of hippocampal subfield morphology in schizophrenia and bipolar disorder. Twenty-one MRI studies assessing hippocampal subfield volumes or shape in schizophrenia or bipolar disorder were included (n 15-887 subjects). Nine volumetric group comparison studies (total n = 2593) were included in random effects meta-analyses of group differences. The review showed mixed results, with volume reductions reported in most subfields in schizophrenia and bipolar disorder. Volumetric studies using ex-vivo based image analysis templates corresponded best with the shape studies, with CA1 as the most affected region. The meta-analyses showed volume reductions in all subfields in schizophrenia and bipolar disorder compared to healthy controls (all p < .005; schizophrenia: d = 0.28-0.49, bipolar disorder: d = 0.20-0.35), and smaller left CA2/3 and right subiculum in schizophrenia than bipolar disorder. In conclusion, the hippocampal subfields appear to be differently affected in psychotic disorders. However, due to the lack of control for putative confounders such as medication, alcohol and illicit substance use, and illness stage, the results from the meta-analysis should be interpreted with caution. Methodological subfield segmentation weaknesses should be addressed in future studies.
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48
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Association between mismatch negativity and voxel-based brain volume in schizophrenia. Clin Neurophysiol 2018; 129:1899-1906. [DOI: 10.1016/j.clinph.2018.06.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2017] [Revised: 06/08/2018] [Accepted: 06/13/2018] [Indexed: 01/06/2023]
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49
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Wang X, Tian F, Wang S, Cheng B, Qiu L, He M, Wang H, Duan M, Dai J, Jia Z. Gray matter bases of psychotic features in adult bipolar disorder: A systematic review and voxel-based meta-analysis of neuroimaging studies. Hum Brain Mapp 2018; 39:4707-4723. [PMID: 30096212 DOI: 10.1002/hbm.24316] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Accepted: 07/05/2018] [Indexed: 02/05/2023] Open
Abstract
Psychotic bipolar disorder (P-BD) is a specific subset that presents greater risk of relapse and worse outcomes than nonpsychotic bipolar disorder (NP-BD). To explore the neuroanatomical bases of psychotic dimension in bipolar disorder (BD), a systematic review was carried out based on the gray matter volume (GMV) among P-BD and NP-BD patients and healthy controls (HC). Further, we conducted a meta-analysis of GMV differences between P-BD patients and HC using a whole-brain imaging approach. Our review revealed that P-BD patients exhibited smaller GMVs mainly in the prefronto-temporal and cingulate cortices, the precentral gyrus, and insula relative to HC both qualitatively and quantitatively. Qualitatively the comparison between P-BD and NP-BD patients suggested inconsistent GMV alterations mainly involving the prefrontal cortex, while NP-BD patients showed GMV deficits in local regions compared with HC. The higher proportions of female patients and patients taking psychotropic medication in P-BD and P-BD type I were associated with smaller GMV in the right precentral gyrus, and the right insula, respectively. In conclusions, psychosis in BD might be associated with specific cortical GMV deficits. Gender and psychotropic medication might have effects on the regional GMVs in P-BD patients. It is necessary to distinguish psychotic dimension in neuroimaging studies of BD.
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Affiliation(s)
- Xiuli Wang
- Department of Psychiatry, The Fourth People's Hospital of Chengdu, Chengdu, China
| | - Fangfang Tian
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China
| | - Song Wang
- Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China
| | - Bochao Cheng
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu, China
| | - Lihua Qiu
- Department of Radiology, The Second People's Hospital of Yibin, Yibin, China
| | - Manxi He
- Department of Psychiatry, The Fourth People's Hospital of Chengdu, Chengdu, China
| | - Hongming Wang
- Department of Psychiatry, The Fourth People's Hospital of Chengdu, Chengdu, China
| | - Mingjun Duan
- Department of Psychiatry, The Fourth People's Hospital of Chengdu, Chengdu, China
| | - Jing Dai
- Department of Psychiatry, The Fourth People's Hospital of Chengdu, Chengdu, China
| | - Zhiyun Jia
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China.,Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China
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50
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Fraser MA, Shaw ME, Anstey KJ, Cherbuin N. Longitudinal Assessment of Hippocampal Atrophy in Midlife and Early Old Age: Contrasting Manual Tracing and Semi-automated Segmentation (FreeSurfer). Brain Topogr 2018; 31:949-962. [PMID: 29974288 DOI: 10.1007/s10548-018-0659-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Accepted: 06/29/2018] [Indexed: 01/26/2023]
Abstract
It is important to have accurate estimates of normal age-related brain structure changes and to understand how the choice of measurement technique may bias those estimates. We compared longitudinal change in hippocampal volume, laterality and atrophy measured by manual tracing and FreeSurfer (version 5.3) in middle age (n = 244, 47.2[1.4] years) and older age (n = 199, 67.0[1.4] years) individuals over 8 years. The proportion of overlap (Dice coefficient) between the segmented hippocampi was calculated and we hypothesised that the proportion of overlap would be higher for older individuals as a consequence of higher atrophy. Hippocampal volumes produced by FreeSurfer were larger than manually traced volumes. Both methods produced a left less than right volume laterality difference. Over time this laterality difference increased for manual tracing and decreased for FreeSurfer leading to laterality differences in left and right estimated atrophy rates. The overlap proportion between methods was not significantly different for older individuals, but was greater for the right hippocampus. Estimated middle age annualised atrophy rates were - 0.39(1.0) left, 0.07(1.01) right, - 0.17(0.88) total for manual tracing and - 0.15(0.69) left, - 0.20(0.63) right, - 0.18(0.57) total for FreeSurfer. Older age atrophy rates were - 0.43(1.32) left, - 0.15(1.41) right, - 0.30 (1.23) total for manual tracing and - 0.34(0.79) left, - 0.68(0.78) right, - 0.51(0.65) total for FreeSurfer. FreeSurfer reliably segments the hippocampus producing atrophy rates that are comparable to manual tracing with some biases that need to be considered in study design. FreeSurfer is suited for use in large longitudinal studies where it is not cost effective to use manual tracing.
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Affiliation(s)
- Mark A Fraser
- Centre for Research on Ageing, Health and Wellbeing, Australian National University, Florey, Building 54, Mills Road, Canberra, ACT, 2601, Australia.
| | - Marnie E Shaw
- College of Engineering & Computer Science, Australian National University, Brian Anderson Building 115, 115 North Road, Canberra, ACT, 2601, Australia
| | - Kaarin J Anstey
- Centre for Research on Ageing, Health and Wellbeing, Australian National University, Florey, Building 54, Mills Road, Canberra, ACT, 2601, Australia
| | - Nicolas Cherbuin
- Centre for Research on Ageing, Health and Wellbeing, Australian National University, Florey, Building 54, Mills Road, Canberra, ACT, 2601, Australia
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