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Dusi N, Esposito CM, Delvecchio G, Prunas C, Brambilla P. Case report and systematic review of cerebellar vermis alterations in psychosis. Int Clin Psychopharmacol 2024; 39:223-231. [PMID: 38266159 PMCID: PMC11136271 DOI: 10.1097/yic.0000000000000535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 12/13/2023] [Indexed: 01/26/2024]
Abstract
INTRODUCTION Cerebellar alterations, including both volumetric changes in the cerebellar vermis and dysfunctions of the corticocerebellar connections, have been documented in psychotic disorders. Starting from the clinical observation of a bipolar patient with cerebellar hypoplasia, the purpose of this review is to summarize the data in the literature about the association between hypoplasia of the cerebellar vermis and psychotic disorders [schizophrenia (SCZ) and bipolar disorder (BD)]. METHODS A bibliographic search on PubMed has been conducted, and 18 articles were finally included in the review: five used patients with BD, 12 patients with SCZ and one subject at psychotic risk. RESULTS For SCZ patients and subjects at psychotic risk, the results of most of the reviewed studies seem to suggest a gray matter volume reduction coupled with an increase in white matter volumes in the cerebellar vermis, compared to healthy controls. Instead, the results of the studies on BD patients are more heterogeneous with evidence showing a reduction, no difference or even an increase in cerebellar vermis volume compared to healthy controls. CONCLUSIONS From the results of the reviewed studies, a possible correlation emerged between cerebellar vermis hypoplasia and psychotic disorders, especially SCZ, ultimately supporting the hypothesis of psychotic disorders as neurodevelopmental disorders.
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Affiliation(s)
- Nicola Dusi
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca’ Granda, Ospedale Maggiore Policlinico, Milan
| | | | - Giuseppe Delvecchio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca’ Granda, Ospedale Maggiore Policlinico, Milan
| | - Cecilia Prunas
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca’ Granda, Ospedale Maggiore Policlinico, Milan
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca’ Granda, Ospedale Maggiore Policlinico, Milan
- Department of Pathophisiology and Transplantation, University of Milan, Milan, Italy
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2
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Alarifi A, Taha KM, Elamin AY, Almasaad JM, Bakhit NM, Alsharif MHK. Volume of Enlarged White Matter of Thalamus among Individuals with Depression on Magnetic Resonance Image: A Study of BrainSuite Segmentation. JOURNAL OF PHARMACY AND BIOALLIED SCIENCES 2024; 16:S1663-S1666. [PMID: 38882840 PMCID: PMC11174233 DOI: 10.4103/jpbs.jpbs_1282_23] [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: 12/24/2023] [Revised: 01/11/2024] [Accepted: 01/16/2024] [Indexed: 06/18/2024] Open
Abstract
Background The thalamus, located in the diencephalon, regulates emotions and memories. If there is a problem in this area of the brain, it can cause an amnestic syndrome characterized by difficulties in remembering and recognizing things. The objective of this study was to identify changes in the volume of the thalamus while contrasting them among individuals with depression. Materials and Methods The study involved measuring the volumes of the white matter of the thalamus in 79 patients with depression (42 males and 37 females) between 20 and 40 years (24 ± 5.51). This was compared to a control group of 53 individuals (24 ± 4.91) consisting of 29 males and 24 females, who were comparable in terms of sex and age. The measurements were taken employing BrainSuite version 18a. 021 Win 64bit software on a Philips 1.5 Tesla Magnetom Avanto Vision System magnetic resonance imaging (MRI). The Magnetization Prepared Rapid Acquisition (MPRA) was utilized to acquire three-dimensional images with T1 weighting. Results The volume of white matter in the respective right and left thalamus was 5.09 cm3 and 4.58 cm3 (±standard deviation (SD) = 6.43 and 4.74) among individuals with depression. In the control group, the volume of white matter in the right and left thalamus was 3.66 cm3 and 4.16 cm3 (±SD = 3.99 and 5.06), respectively. The P-value is more than 0.05. The average volume of white matter in the right and left thalamus of females with depression and controls was 6.47 cm3 and 6.77 cm3 (with SD of 4.17 and 4.3), and 3.25 cm3 and 3.13 cm3 (with SD of 6.55 and 6.77), respectively. Conclusions Our data suggest that individuals with depression exhibit an augmentation in the white matter of the thalamus, particularly in female patients where there is an upsurge in white matter volume. Depression appears to be linked to a decrease in volume on the left side of the brain.
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Affiliation(s)
- Abdulaziz Alarifi
- Department of Basic Sciences, College of Science and Health Professions, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Centre, King Abdulaziz Medical City, Riyadh, Saudi Arabia
| | - Khalid M Taha
- Department of Anatomy, Faculty of Medicine, Omdurman Islamic University, Omdurman, Sudan
| | - Abubaker Y Elamin
- Department of Histology and Embryology, Faculty of Medicine, Ondokuz Mayis University, 55139 Atakum, Samsun, Turkey
| | - Juman M Almasaad
- Department of Basic Medical Sciences, College of Medicine, King Saud Bin Abdul Aziz University for Health Sciences, Jeddah, Saudi Arabia
- King Abdullah International Medical Research Centre, King Abdulaziz Medical City, Jeddah, Saudi Arabia
| | - Nagi M Bakhit
- Department of Anatomy, Arabian Gulf University, Manama, Bahrain
| | - Mohammed H Karrar Alsharif
- Department of Basic Medical Science, College of Medicine, Prince Sattam Bin Abdulaziz University, Al Kharj, Saudi Arabia
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Chaves-Filho A, Eyres C, Blöbaum L, Landwehr A, Tremblay MÈ. The emerging neuroimmune hypothesis of bipolar disorder: An updated overview of neuroimmune and microglial findings. J Neurochem 2024. [PMID: 38504593 DOI: 10.1111/jnc.16098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 02/26/2024] [Accepted: 02/28/2024] [Indexed: 03/21/2024]
Abstract
Bipolar disorder (BD) is a severe and multifactorial disease, with onset usually in young adulthood, which follows a progressive course throughout life. Replicated epidemiological studies have suggested inflammatory mechanisms and neuroimmune risk factors as primary contributors to the onset and development of BD. While not all patients display overt markers of inflammation, significant evidence suggests that aberrant immune signaling contributes to all stages of the disease and seems to be mood phase dependent, likely explaining the heterogeneity of findings observed in this population. As the brain's immune cells, microglia orchestrate the brain's immune response and play a critical role in maintaining the brain's health across the lifespan. Microglia are also highly sensitive to environmental changes and respond to physiological and pathological events by adapting their functions, structure, and molecular expression. Recently, it has been highlighted that instead of a single population of cells, microglia comprise a heterogeneous community with specialized states adjusted according to the local molecular cues and intercellular interactions. Early evidence has highlighted the contribution of microglia to BD neuropathology, notably for severe outcomes, such as suicidality. However, the roles and diversity of microglial states in this disease are still largely undermined. This review brings an updated overview of current literature on the contribution of neuroimmune risk factors for the onset and progression of BD, the most prominent neuroimmune abnormalities (including biomarker, neuroimaging, ex vivo studies) and the most recent findings of microglial involvement in BD neuropathology. Combining these different shreds of evidence, we aim to propose a unifying hypothesis for BD pathophysiology centered on neuroimmune abnormalities and microglia. Also, we highlight the urgent need to apply novel multi-system biology approaches to characterize the diversity of microglial states and functions involved in this enigmatic disorder, which can open bright perspectives for novel biomarkers and therapeutic discoveries.
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Affiliation(s)
- Adriano Chaves-Filho
- Division of Medical Sciences, University of Victoria, Victoria, British Columbia, Canada
- Women Health Research Institute, Vancouver, British Columbia, Canada
- Brain Health Cluster at the Institute on Aging & Lifelong Health (IALH), Victoria, British Columbia, Canada
| | - Capri Eyres
- Division of Medical Sciences, University of Victoria, Victoria, British Columbia, Canada
| | - Leonie Blöbaum
- Division of Medical Sciences, University of Victoria, Victoria, British Columbia, Canada
| | - Antonia Landwehr
- Division of Medical Sciences, University of Victoria, Victoria, British Columbia, Canada
| | - Marie-Ève Tremblay
- Division of Medical Sciences, University of Victoria, Victoria, British Columbia, Canada
- Women Health Research Institute, Vancouver, British Columbia, Canada
- Brain Health Cluster at the Institute on Aging & Lifelong Health (IALH), Victoria, British Columbia, Canada
- Centre for Advanced Materials and Related Technology (CAMTEC), University of Victoria, Victoria, British Columbia, Canada
- Department of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, British Columbia, Canada
- Neurology and Neurosurgery Department, McGill University, Montréal, Quebec, Canada
- Department of Molecular Medicine, Université Laval, Québec City, Quebec, Canada
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4
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Guma E, Andrýsková L, Brázdil M, Chakravarty MM, Marečková K. Perinatal maternal mental health and amygdala morphology in young adulthood. Prog Neuropsychopharmacol Biol Psychiatry 2023; 122:110676. [PMID: 36372293 DOI: 10.1016/j.pnpbp.2022.110676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 07/11/2022] [Accepted: 11/06/2022] [Indexed: 11/13/2022]
Abstract
The pre- and perinatal environment is thought to play a critical role in shaping brain development. Specifically, maternal mental health and maternal care have been shown to influence offspring brain development in regions implicated in emotional regulation such as the amygdala. In this study, we used data from a neuroimaging follow-up of a prenatal birth-cohort, the European Longitudinal Study of Pregnancy and Childhood, to investigate the impact of early postnatal maternal anxiety/co-dependence, and prenatal and early-postnatal depression and dysregulated mood on amygdala volume and morphology in young adulthood (n = 103). We observed that in typically developing young adults, greater maternal anxiety/co-dependence after birth was significantly associated with lower volume (right: t = -2.913, p = 0.0045, β = -0.523; left: t = -1.471, p = 0.144, β = -0.248) and non-significantly associated with surface area (right: t = -3.502, q = 0.069, <10%FDR, β = -0.090, left: t = -3.137, q = 0.117, <10%FDR, = -0.088) of the amygdala in young adulthood. Conversely, prenatal maternal depression and mood dysregulation in the early postnatal period was not associated with any volumetric or morphological changes in the amygdala in young adulthood. Our findings provide evidence for subtle but long-lasting alterations to amygdala morphology associated with differences in maternal anxiety/co-dependence in early development.
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Affiliation(s)
- Elisa Guma
- Computational Brain Anatomy Laboratory, Cerebral Imaging Center, Douglas Mental Health University Institute, Montreal, Quebec, Canada; Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada
| | - Lenka Andrýsková
- RECETOX, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Milan Brázdil
- Brain and Mind Research, Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - M Mallar Chakravarty
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec, Canada.
| | - Klára Marečková
- Brain and Mind Research, Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
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Limbic and cortical regions as functional biomarkers associated with emotion regulation in bipolar disorder: A meta-analysis of neuroimaging studies. J Affect Disord 2023; 323:506-513. [PMID: 36462610 DOI: 10.1016/j.jad.2022.11.071] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 10/28/2022] [Accepted: 11/20/2022] [Indexed: 12/02/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is a psychiatric disorder characterized by episodes of depression and mania, associated with impaired emotion processing. Several functional MRI (fMRI) studies have been used to investigate the structural and functional alteration in BD. Here, we aim to investigate the current fMRI findings of brain activation during emotion-regulation tasks between BD patients and healthy controls (HC). METHODS A systematic search through PubMed database for fMRI studies on bipolar patients and HC yielded 685 studies. We performed an activation likelihood estimation (ALE) on 21 studies for emotion regulation in BD patients and HC. Furthermore, we performed subgroup analyses for task performances in response time and accuracy between bipolar patients and HC. RESULTS The total sample included 21 fMRI studies, comprising 543 BD patients, compared to 565 HC. ALE maps for emotion-related tasks showed hyperactivation in BD patients in the caudate, amygdala, precentral gyrus, middle frontal gyri, and sub-gyrus. Whereas hypoactivation was seen in the inferior frontal gyrus and anterior cingulate gyrus. LIMITATIONS We could not apply a correction for p-value thresholds, as it needs large number of foci. Second, functional abnormalities were investigated for adult BD patients only, as BD patients have functional differences correlated with age. CONCLUSIONS Our results showed that limbic and cortical regions can represent a potential biomarker for the diagnosis and management of BD, by showing clustered brain regions of abnormal patterns of increased activation between BD patients and HC.
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de Sousa TR, Dt C, Novais F. Exploring the Hypothesis of a Schizophrenia and Bipolar Disorder Continuum: Biological, Genetic and Pharmacologic Data. CNS & NEUROLOGICAL DISORDERS DRUG TARGETS 2023; 22:161-171. [PMID: 34477537 DOI: 10.2174/1871527320666210902164235] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 07/19/2021] [Accepted: 08/08/2021] [Indexed: 12/16/2022]
Abstract
Present time nosology has its roots in Kraepelin's demarcation of schizophrenia and bipolar disorder. However, accumulating evidence has shed light on several commonalities between the two disorders, and some authors have advocated for the consideration of a disease continuum. Here, we review previous genetic, biological and pharmacological findings that provide the basis for this conceptualization. There is a cross-disease heritability, and they share single-nucleotide polymorphisms in some common genes. EEG and imaging patterns have a number of similarities, namely reduced white matter integrity and abnormal connectivity. Dopamine, serotonin, GABA and glutamate systems have dysfunctional features, some of which are identical among the disorders. Finally, cellular calcium regulation and mitochondrial function are, also, impaired in the two.
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Affiliation(s)
- Teresa Reynolds de Sousa
- Department of Neurosciences and Mental Health, Centro Hospitalar Universitário Lisboa Norte (CHULN), Hospital de Santa Maria, Lisbon, Portugal
| | - Correia Dt
- Department of Neurosciences and Mental Health, Centro Hospitalar Universitário Lisboa Norte (CHULN), Hospital de Santa Maria, Lisbon, Portugal
- Faculdade de Medicina da Universidade de Lisboa, Lisboa, Portugal
- ISAMB - Instituto de Saúde Ambiental, Lisboa, Portugal
| | - Filipa Novais
- Department of Neurosciences and Mental Health, Centro Hospitalar Universitário Lisboa Norte (CHULN), Hospital de Santa Maria, Lisbon, Portugal
- Faculdade de Medicina da Universidade de Lisboa, Lisboa, Portugal
- ISAMB - Instituto de Saúde Ambiental, Lisboa, Portugal
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7
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Sato R, Muneuchi J, Sugitani Y, Doi H, Furuta T, Ezaki H, Kobayashi M, Hatai E, Watanabe M. Overgrowth of the Amygdala in Children with Single Ventricle Congenital Heart Disease. J Child Neurol 2022; 37:979-983. [PMID: 36170242 DOI: 10.1177/08830738221129027] [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] [Indexed: 11/16/2022]
Abstract
Aim: Early life stress is associated with overgrowth of the amygdala, which plays a key role in the processing and memory of emotional responses. Herein, we aimed to explore the amygdala volume in children with single-ventricle congenital heart disease who experience repeated admissions during the neonatal period and infancy. Methods: We compared the amygdala volume measured using brain magnetic resonance imaging (MRI) between 40 patients after completion of the Fontan procedure and 40 age- and sex-matched control subjects Results: Age at the MRI study were 9.2 (8.5-11.1) and 10.2 (9.2-10.3) years in the Fontan and control groups, respectively. The maximum amygdala volume in the Fontan group was significantly larger than in the control group (1232 [983-1392] mm3/m2 vs. 980 [728-1166] mm3/m2, P < 0.001). The amygdala volume did not correlate to cardiac index (r = 0.260) and central venous pressure (r = -0.107) in the Fontan group. Conclusions: Children with single-ventricle congenital heart disease exhibited amygdala overgrowth.
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Affiliation(s)
- Rie Sato
- Department of Pediatrics, 37039Kyushu Hospital, Japan Community Healthcare Organization, Kitakyushu, Japan
| | - Jun Muneuchi
- Department of Pediatrics, 37039Kyushu Hospital, Japan Community Healthcare Organization, Kitakyushu, Japan
| | - Yuichiro Sugitani
- Department of Pediatrics, 37039Kyushu Hospital, Japan Community Healthcare Organization, Kitakyushu, Japan
| | - Hirohito Doi
- Department of Pediatrics, 37039Kyushu Hospital, Japan Community Healthcare Organization, Kitakyushu, Japan
| | - Takashi Furuta
- Department of Pediatrics, 37039Kyushu Hospital, Japan Community Healthcare Organization, Kitakyushu, Japan
| | - Hiroki Ezaki
- Department of Pediatrics, 37039Kyushu Hospital, Japan Community Healthcare Organization, Kitakyushu, Japan
| | - Masaru Kobayashi
- Department of Pediatrics, 37039Kyushu Hospital, Japan Community Healthcare Organization, Kitakyushu, Japan
| | - Eriko Hatai
- Department of Pediatrics, 37039Kyushu Hospital, Japan Community Healthcare Organization, Kitakyushu, Japan
| | - Mamie Watanabe
- Department of Pediatrics, 37039Kyushu Hospital, Japan Community Healthcare Organization, Kitakyushu, Japan
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Abstract
BACKGROUND To date, besides genome-wide association studies, a variety of other genetic analyses (e.g. polygenic risk scores, whole-exome sequencing and whole-genome sequencing) have been conducted, and a large amount of data has been gathered for investigating the involvement of common, rare and very rare types of DNA sequence variants in bipolar disorder. Also, non-invasive neuroimaging methods can be used to quantify changes in brain structure and function in patients with bipolar disorder. AIMS To provide a comprehensive assessment of genetic findings associated with bipolar disorder, based on the evaluation of different genomic approaches and neuroimaging studies. METHOD We conducted a PubMed search of all relevant literatures from the beginning to the present, by querying related search strings. RESULTS ANK3, CACNA1C, SYNE1, ODZ4 and TRANK1 are five genes that have been replicated as key gene candidates in bipolar disorder pathophysiology, through the investigated studies. The percentage of phenotypic variance explained by the identified variants is small (approximately 4.7%). Bipolar disorder polygenic risk scores are associated with other psychiatric phenotypes. The ENIGMA-BD studies show a replicable pattern of lower cortical thickness, altered white matter integrity and smaller subcortical volumes in bipolar disorder. CONCLUSIONS The low amount of explained phenotypic variance highlights the need for further large-scale investigations, especially among non-European populations, to achieve a more complete understanding of the genetic architecture of bipolar disorder and the missing heritability. Combining neuroimaging data with genetic data in large-scale studies might help researchers acquire a better knowledge of the engaged brain regions in bipolar disorder.
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Affiliation(s)
- Mojtaba Oraki Kohshour
- Institute of Psychiatric Phenomics and Genomics, University Hospital LMU Munich, Germany; and Department of Immunology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Iran
| | - Sergi Papiol
- Institute of Psychiatric Phenomics and Genomics, University Hospital LMU Munich, Germany; and Department of Psychiatry and Psychotherapy, University Hospital LMU Munich, Germany
| | - Christopher R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, USA
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics, University Hospital LMU Munich, Germany; and Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, USA
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9
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Ching CRK, Hibar DP, Gurholt TP, Nunes A, Thomopoulos SI, Abé C, Agartz I, Brouwer RM, Cannon DM, de Zwarte SMC, Eyler LT, Favre P, Hajek T, Haukvik UK, Houenou J, Landén M, Lett TA, McDonald C, Nabulsi L, Patel Y, Pauling ME, Paus T, Radua J, Soeiro‐de‐Souza MG, Tronchin G, van Haren NEM, Vieta E, Walter H, Zeng L, Alda M, Almeida J, Alnæs D, Alonso‐Lana S, Altimus C, Bauer M, Baune BT, Bearden CE, Bellani M, Benedetti F, Berk M, Bilderbeck AC, Blumberg HP, Bøen E, Bollettini I, del Mar Bonnin C, Brambilla P, Canales‐Rodríguez EJ, Caseras X, Dandash O, Dannlowski U, Delvecchio G, Díaz‐Zuluaga AM, Dima D, Duchesnay É, Elvsåshagen T, Fears SC, Frangou S, Fullerton JM, Glahn DC, Goikolea JM, Green MJ, Grotegerd D, Gruber O, Haarman BCM, Henry C, Howells FM, Ives‐Deliperi V, Jansen A, Kircher TTJ, Knöchel C, Kramer B, Lafer B, López‐Jaramillo C, Machado‐Vieira R, MacIntosh BJ, Melloni EMT, Mitchell PB, Nenadic I, Nery F, Nugent AC, Oertel V, Ophoff RA, Ota M, Overs BJ, Pham DL, Phillips ML, Pineda‐Zapata JA, Poletti S, Polosan M, Pomarol‐Clotet E, Pouchon A, Quidé Y, Rive MM, Roberts G, Ruhe HG, Salvador R, Sarró S, Satterthwaite TD, Schene AH, Sim K, Soares JC, Stäblein M, Stein DJ, Tamnes CK, Thomaidis GV, Upegui CV, Veltman DJ, Wessa M, Westlye LT, Whalley HC, Wolf DH, Wu M, Yatham LN, Zarate CA, Thompson PM, Andreassen OA. What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group. Hum Brain Mapp 2022; 43:56-82. [PMID: 32725849 PMCID: PMC8675426 DOI: 10.1002/hbm.25098] [Citation(s) in RCA: 63] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 05/31/2020] [Accepted: 06/04/2020] [Indexed: 12/17/2022] Open
Abstract
MRI-derived brain measures offer a link between genes, the environment and behavior and have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of BD have been underpowered, leading to varied results and uncertainty regarding effects. The Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Bipolar Disorder Working Group was formed in 2012 to empower discoveries, generate consensus findings and inform future hypothesis-driven studies of BD. Through this effort, over 150 researchers from 20 countries and 55 institutions pool data and resources to produce the largest neuroimaging studies of BD ever conducted. The ENIGMA Bipolar Disorder Working Group applies standardized processing and analysis techniques to empower large-scale meta- and mega-analyses of multimodal brain MRI and improve the replicability of studies relating brain variation to clinical and genetic data. Initial BD Working Group studies reveal widespread patterns of lower cortical thickness, subcortical volume and disrupted white matter integrity associated with BD. Findings also include mapping brain alterations of common medications like lithium, symptom patterns and clinical risk profiles and have provided further insights into the pathophysiological mechanisms of BD. Here we discuss key findings from the BD working group, its ongoing projects and future directions for large-scale, collaborative studies of mental illness.
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Affiliation(s)
- Christopher R. K. Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | | | - Tiril P. Gurholt
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
| | - Abraham Nunes
- Department of PsychiatryDalhousie UniversityHalifaxNova ScotiaCanada
- Faculty of Computer ScienceDalhousie UniversityHalifaxNova ScotiaCanada
| | - Sophia I. Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Christoph Abé
- Faculty of Computer ScienceDalhousie UniversityHalifaxNova ScotiaCanada
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- Center for Psychiatric Research, Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - Rachel M. Brouwer
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Dara M. Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health SciencesNational University of Ireland GalwayGalwayIreland
| | - Sonja M. C. de Zwarte
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Lisa T. Eyler
- Department of PsychiatryUniversity of CaliforniaLa JollaCaliforniaUSA
- Desert‐Pacific MIRECCVA San Diego HealthcareSan DiegoCaliforniaUSA
| | - Pauline Favre
- INSERM U955, team 15 “Translational Neuro‐Psychiatry”CréteilFrance
- Neurospin, CEA Paris‐Saclay, team UNIACTGif‐sur‐YvetteFrance
| | - Tomas Hajek
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
- National Institute of Mental HealthKlecanyCzech Republic
| | - Unn K. Haukvik
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT)Oslo University HospitalOsloNorway
| | - Josselin Houenou
- INSERM U955, team 15 “Translational Neuro‐Psychiatry”CréteilFrance
- Neurospin, CEA Paris‐Saclay, team UNIACTGif‐sur‐YvetteFrance
- APHPMondor University Hospitals, DMU IMPACTCréteilFrance
| | - Mikael Landén
- Department of Neuroscience and PhysiologyUniversity of GothenburgGothenburgSweden
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Tristram A. Lett
- Department for Psychiatry and PsychotherapyCharité Universitätsmedizin BerlinBerlinGermany
- Department of Neurology with Experimental NeurologyCharité Universitätsmedizin BerlinBerlinGermany
| | - Colm McDonald
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Leila Nabulsi
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Yash Patel
- Bloorview Research InstituteHolland Bloorview Kids Rehabilitation HospitalTorontoOntarioCanada
| | - Melissa E. Pauling
- Desert‐Pacific MIRECCVA San Diego HealthcareSan DiegoCaliforniaUSA
- INSERM U955, team 15 “Translational Neuro‐Psychiatry”CréteilFrance
| | - Tomas Paus
- Bloorview Research InstituteHolland Bloorview Kids Rehabilitation HospitalTorontoOntarioCanada
- Departments of Psychology and PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Joaquim Radua
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Early Psychosis: Interventions and Clinical‐detection (EPIC) lab, Department of Psychosis StudiesInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
- Stockholm Health Care ServicesStockholm County CouncilStockholmSweden
| | - Marcio G. Soeiro‐de‐Souza
- Mood Disorders Unit (GRUDA), Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de São PauloSão PauloSPBrazil
| | - Giulia Tronchin
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Neeltje E. M. van Haren
- Department of Child and Adolescent Psychiatry/PsychologyErasmus Medical CenterRotterdamThe Netherlands
| | - Eduard Vieta
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of NeurosciencesUniversity of BarcelonaBarcelonaSpain
| | - Henrik Walter
- Department for Psychiatry and PsychotherapyCharité Universitätsmedizin BerlinBerlinGermany
| | - Ling‐Li Zeng
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- College of Intelligence Science and TechnologyNational University of Defense TechnologyChangshaChina
| | - Martin Alda
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
| | - Jorge Almeida
- Dell Medical SchoolThe University of Texas at AustinAustinTexasUSA
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
| | - Silvia Alonso‐Lana
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Cara Altimus
- Milken Institute Center for Strategic PhilanthropyWashingtonDistrict of ColumbiaUSA
| | - Michael Bauer
- Department of Psychiatry and Psychotherapy, Medical FacultyTechnische Universität DresdenDresdenGermany
| | - Bernhard T. Baune
- Department of PsychiatryUniversity of MünsterMünsterGermany
- Department of PsychiatryThe University of MelbourneMelbourneVictoriaAustralia
- The Florey Institute of Neuroscience and Mental HealthThe University of MelbourneMelbourneVictoriaAustralia
| | - Carrie E. Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human BehaviorUniversity of CaliforniaLos AngelesCaliforniaUSA
- Department of PsychologyUniversity of CaliforniaLos AngelesCaliforniaUSA
| | - Marcella Bellani
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement SciencesUniversity of VeronaVeronaItaly
| | - Francesco Benedetti
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Michael Berk
- Department of Pathophysiology and TransplantationUniversity of MilanMilanItaly
- IMPACT Institute – The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon HealthDeakin UniversityGeelongVictoriaAustralia
| | - Amy C. Bilderbeck
- The National Centre of Excellence in Youth Mental Health, Centre for Youth Mental Health, Florey Institute for Neuroscience and Mental Health and the Department of Psychiatry, The University of MelbourneOrygenMelbourneVictoriaAustralia
- P1vital LtdWallingfordUK
| | | | - Erlend Bøen
- Mood Disorders Research ProgramYale School of MedicineNew HavenConnecticutUSA
| | - Irene Bollettini
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Caterina del Mar Bonnin
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of NeurosciencesUniversity of BarcelonaBarcelonaSpain
| | - Paolo Brambilla
- Psychosomatic and CL PsychiatryOslo University HospitalOsloNorway
- Department of Neurosciences and Mental HealthFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoMilanItaly
| | - Erick J. Canales‐Rodríguez
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
- Department of RadiologyCentre Hospitalier Universitaire Vaudois (CHUV)LausanneSwitzerland
- Signal Processing Lab (LTS5), École Polytechnique Fédérale de LausanneLausanneSwitzerland
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and GenomicsCardiff UniversityCardiffUK
| | - Orwa Dandash
- Melbourne Neuropsychiatry Centre, Department of PsychiatryUniversity of Melbourne and Melbourne HealthMelbourneVictoriaAustralia
- Brain, Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological SciencesMonash UniversityClaytonVictoriaAustralia
| | - Udo Dannlowski
- Department of PsychiatryUniversity of MünsterMünsterGermany
| | | | - Ana M. Díaz‐Zuluaga
- Research Group in Psychiatry GIPSI, Department of PsychiatryFaculty of Medicine, Universidad de AntioquiaMedellínColombia
| | - Danai Dima
- Department of Psychology, School of Social Sciences and ArtsCity, University of LondonLondonUK
- Department of Neuroimaging, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | | | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research (NORMENT)Oslo University HospitalOsloNorway
- Department of NeurologyOslo University HospitalOsloNorway
- Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Scott C. Fears
- Center for Neurobehavioral GeneticsLos AngelesCaliforniaUSA
- Greater Los Angeles Veterans AdministrationLos AngelesCaliforniaUSA
| | - Sophia Frangou
- Centre for Brain HealthUniversity of British ColumbiaVancouverBritish ColumbiaCanada
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Janice M. Fullerton
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- School of Medical SciencesUniversity of New South WalesSydneyNew South WalesAustralia
| | - David C. Glahn
- Department of PsychiatryBoston Children's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Jose M. Goikolea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of NeurosciencesUniversity of BarcelonaBarcelonaSpain
| | - Melissa J. Green
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | | | - Oliver Gruber
- Department of General PsychiatryHeidelberg UniversityHeidelbergGermany
| | - Bartholomeus C. M. Haarman
- Department of Psychiatry, University Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
| | - Chantal Henry
- Department of PsychiatryService Hospitalo‐Universitaire, GHU Paris Psychiatrie & NeurosciencesParisFrance
- Université de ParisParisFrance
| | - Fleur M. Howells
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
| | | | - Andreas Jansen
- Core‐Facility Brainimaging, Faculty of MedicineUniversity of MarburgMarburgGermany
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Tilo T. J. Kircher
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Christian Knöchel
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyGoethe University FrankfurtFrankfurtGermany
| | - Bernd Kramer
- Department of General PsychiatryHeidelberg UniversityHeidelbergGermany
| | - Beny Lafer
- Laboratory of Psychiatric Neuroimaging (LIM‐21), Departamento e Instituto de PsiquiatriaHospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São PauloSão PauloSPBrazil
| | - Carlos López‐Jaramillo
- Research Group in Psychiatry GIPSI, Department of PsychiatryFaculty of Medicine, Universidad de AntioquiaMedellínColombia
- Mood Disorders ProgramHospital Universitario Trastorno del ÁnimoMedellínColombia
| | - Rodrigo Machado‐Vieira
- Experimental Therapeutics and Molecular Pathophysiology Program, Department of PsychiatryUTHealth, University of TexasHoustonTexasUSA
| | - Bradley J. MacIntosh
- Hurvitz Brain SciencesSunnybrook Research InstituteTorontoOntarioCanada
- Department of Medical BiophysicsUniversity of TorontoTorontoOntarioCanada
| | - Elisa M. T. Melloni
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Philip B. Mitchell
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Igor Nenadic
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Fabiano Nery
- University of CincinnatiCincinnatiOhioUSA
- Universidade de São PauloSão PauloSPBrazil
| | | | - Viola Oertel
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyGoethe University FrankfurtFrankfurtGermany
| | - Roel A. Ophoff
- UCLA Center for Neurobehavioral GeneticsLos AngelesCaliforniaUSA
- Department of PsychiatryErasmus Medical Center, Erasmus UniversityRotterdamThe Netherlands
| | - Miho Ota
- Department of Mental Disorder ResearchNational Institute of Neuroscience, National Center of Neurology and PsychiatryTokyoJapan
| | | | - Daniel L. Pham
- Milken Institute Center for Strategic PhilanthropyWashingtonDistrict of ColumbiaUSA
| | - Mary L. Phillips
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | | | - Sara Poletti
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Mircea Polosan
- University of Grenoble AlpesCHU Grenoble AlpesGrenobleFrance
- INSERM U1216 ‐ Grenoble Institut des NeurosciencesLa TroncheFrance
| | - Edith Pomarol‐Clotet
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Arnaud Pouchon
- University of Grenoble AlpesCHU Grenoble AlpesGrenobleFrance
| | - Yann Quidé
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Maria M. Rive
- Department of PsychiatryAmsterdam UMC, location AMCAmsterdamThe Netherlands
| | - Gloria Roberts
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Henricus G. Ruhe
- Department of PsychiatryRadboud University Medical CenterNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviorRadboud UniversityNijmegenThe Netherlands
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Theodore D. Satterthwaite
- Department of PsychiatryUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Aart H. Schene
- Department of PsychiatryRadboud University Medical CenterNijmegenThe Netherlands
| | - Kang Sim
- West Region, Institute of Mental HealthSingaporeSingapore
- Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
| | - Jair C. Soares
- Center of Excellent on Mood DisordersUTHealth HoustonHoustonTexasUSA
- Department of Psychiatry and Behavioral SciencesUTHealth HoustonHoustonTexasUSA
| | - Michael Stäblein
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyGoethe University FrankfurtFrankfurtGermany
| | - Dan J. Stein
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
- SAMRC Unit on Risk & Resilience in Mental DisordersUniversity of Cape TownCape TownSouth Africa
| | - Christian K. Tamnes
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- PROMENTA Research Center, Department of PsychologyUniversity of OsloOsloNorway
| | - Georgios V. Thomaidis
- Papanikolaou General HospitalThessalonikiGreece
- Laboratory of Mechanics and MaterialsSchool of Engineering, Aristotle UniversityThessalonikiGreece
| | - Cristian Vargas Upegui
- Research Group in Psychiatry GIPSI, Department of PsychiatryFaculty of Medicine, Universidad de AntioquiaMedellínColombia
| | - Dick J. Veltman
- Department of PsychiatryAmsterdam UMCAmsterdamThe Netherlands
| | - Michèle Wessa
- Department of Neuropsychology and Clinical PsychologyJohannes Gutenberg‐University MainzMainzGermany
| | - Lars T. Westlye
- Department of PsychologyUniversity of OsloOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT), Department of Mental Health and AddictionOslo University HospitalOsloNorway
| | | | - Daniel H. Wolf
- Department of PsychiatryUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Mon‐Ju Wu
- Department of Psychiatry and Behavioral SciencesUTHealth HoustonHoustonTexasUSA
| | - Lakshmi N. Yatham
- Department of PsychiatryUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Carlos A. Zarate
- Chief Experimental Therapeutics & Pathophysiology BranchBethesdaMarylandUSA
- Intramural Research ProgramNational Institute of Mental HealthBethesdaMarylandUSA
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Ole A. Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
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10
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Liu L, Meng M, Zhu X, Zhu G. Research Status in Clinical Practice Regarding Pediatric and Adolescent Bipolar Disorders. Front Psychiatry 2022; 13:882616. [PMID: 35711585 PMCID: PMC9197260 DOI: 10.3389/fpsyt.2022.882616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 04/27/2022] [Indexed: 11/27/2022] Open
Abstract
Bipolar disorders (BDs) have high morbidity. The first onset of 27.7% of BDs occurs in children under 13 years and of 37.6% occurs in adolescents between 13 and 18 years. However, not all of the pediatric and adolescent patients with BD receive therapy in time. Therefore, studies about pediatric and adolescent patients with disorders have aroused increased attention in the scientific community. Pediatric and adolescent patients with BD present with a high prevalence rate (0.9-3.9%), and the pathogenic factors are mostly due to genetics and the environment; however, the pathological mechanisms remain unclear. Pediatric and adolescent patients with BD manifest differently from adults with BDs and the use of scales can be helpful for diagnosis and treatment evaluation. Pediatric and adolescent patients with BDs have been confirmed to have a high comorbidity rate with many other kinds of disorders. Both medication and psychological therapies have been shown to be safe and efficient methods for the treatment of BD. This review summarizes the research status related to the epidemiology, pathogenic factors, clinical manifestations, comorbidities, diagnostic and treatment scales, medications, and psychological therapies associated with BDs.
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Affiliation(s)
- Lu Liu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.,Department of Psychiatry, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Ming Meng
- Department of Psychiatry, The Fourth Affiliated Hospital of China Medical University, Shenyang, China.,Shenyang Mental Health Center, Shenyang, China
| | - Xiaotong Zhu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.,Department of Psychiatry, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Gang Zhu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
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11
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McWhinney SR, Abé C, Alda M, Benedetti F, Bøen E, Del Mar Bonnin C, Borgers T, Brosch K, Canales-Rodríguez EJ, Cannon DM, Dannlowski U, Díaz-Zuluaga AM, Elvsåshagen T, Eyler LT, Fullerton JM, Goikolea JM, Goltermann J, Grotegerd D, Haarman BCM, Hahn T, Howells FM, Ingvar M, Kircher TTJ, Krug A, Kuplicki RT, Landén M, Lemke H, Liberg B, Lopez-Jaramillo C, Malt UF, Martyn FM, Mazza E, McDonald C, McPhilemy G, Meier S, Meinert S, Meller T, Melloni EMT, Mitchell PB, Nabulsi L, Nenadic I, Opel N, Ophoff RA, Overs BJ, Pfarr JK, Pineda-Zapata JA, Pomarol-Clotet E, Raduà J, Repple J, Richter M, Ringwald KG, Roberts G, Salvador R, Savitz J, Schmitt S, Schofield PR, Sim K, Stein DJ, Stein F, Temmingh HS, Thiel K, van Haren NEM, Gestel HV, Vargas C, Vieta E, Vreeker A, Waltemate L, Yatham LN, Ching CRK, Andreassen O, Thompson PM, Hajek T. Association between body mass index and subcortical brain volumes in bipolar disorders-ENIGMA study in 2735 individuals. Mol Psychiatry 2021; 26:6806-6819. [PMID: 33863996 PMCID: PMC8760047 DOI: 10.1038/s41380-021-01098-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 02/26/2021] [Accepted: 04/01/2021] [Indexed: 12/27/2022]
Abstract
Individuals with bipolar disorders (BD) frequently suffer from obesity, which is often associated with neurostructural alterations. Yet, the effects of obesity on brain structure in BD are under-researched. We obtained MRI-derived brain subcortical volumes and body mass index (BMI) from 1134 BD and 1601 control individuals from 17 independent research sites within the ENIGMA-BD Working Group. We jointly modeled the effects of BD and BMI on subcortical volumes using mixed-effects modeling and tested for mediation of group differences by obesity using nonparametric bootstrapping. All models controlled for age, sex, hemisphere, total intracranial volume, and data collection site. Relative to controls, individuals with BD had significantly higher BMI, larger lateral ventricular volume, and smaller volumes of amygdala, hippocampus, pallidum, caudate, and thalamus. BMI was positively associated with ventricular and amygdala and negatively with pallidal volumes. When analyzed jointly, both BD and BMI remained associated with volumes of lateral ventricles and amygdala. Adjusting for BMI decreased the BD vs control differences in ventricular volume. Specifically, 18.41% of the association between BD and ventricular volume was mediated by BMI (Z = 2.73, p = 0.006). BMI was associated with similar regional brain volumes as BD, including lateral ventricles, amygdala, and pallidum. Higher BMI may in part account for larger ventricles, one of the most replicated findings in BD. Comorbidity with obesity could explain why neurostructural alterations are more pronounced in some individuals with BD. Future prospective brain imaging studies should investigate whether obesity could be a modifiable risk factor for neuroprogression.
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Affiliation(s)
- Sean R McWhinney
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Christoph Abé
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Francesco Benedetti
- Vita-Salute San Raffaele University, Milan, Italy
- Division of Neuroscience, Psychiatry and Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Erlend Bøen
- Unit for Psychosomatics / CL Outpatient Clinic for Adults, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Caterina Del Mar Bonnin
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Tiana Borgers
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | | | - Dara M Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Ana M Díaz-Zuluaga
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Neurology, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lisa T Eyler
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Desert-Pacific MIRECC, VA San Diego Healthcare, San Diego, CA, USA
| | - Janice M Fullerton
- Neuroscience Research Australia, Randwick, NSW, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Jose M Goikolea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Janik Goltermann
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | - Bartholomeus C M Haarman
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Tim Hahn
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Fleur M Howells
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Martin Ingvar
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Tilo T J Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | | | - Mikael Landén
- Department of Neuroscience and Physiology, Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Hannah Lemke
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Benny Liberg
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Carlos Lopez-Jaramillo
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Ulrik F Malt
- Unit for Psychosomatics / CL Outpatient Clinic for Adults, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, Department of Neurology, University of Oslo, Oslo, Norway
| | - Fiona M Martyn
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Elena Mazza
- Vita-Salute San Raffaele University, Milan, Italy
- Division of Neuroscience, Psychiatry and Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Genevieve McPhilemy
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Sandra Meier
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Susanne Meinert
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Tina Meller
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Elisa M T Melloni
- Vita-Salute San Raffaele University, Milan, Italy
- Division of Neuroscience, Psychiatry and Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Leila Nabulsi
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Igor Nenadic
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Nils Opel
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Roel A Ophoff
- UCLA Center for Neurobehavioral Genetics, Los Angeles, CA, USA
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - Julia-Katharina Pfarr
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Julian A Pineda-Zapata
- Research Group, Instituto de Alta Tecnología Médica, Ayudas diagnósticas SURA, Medellín, Colombia
| | | | - Joaquim Raduà
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
- Institute of Psychiartry, King's College Londen, London, UK
| | - Jonathan Repple
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Maike Richter
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Kai G Ringwald
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Gloria Roberts
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - Jonathan Savitz
- Laureate Institute for Brain Research, Tulsa, OK, USA
- Oxley College of Health Sciences, The University of Tulsa, Tulsa, OK, USA
| | - Simon Schmitt
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Peter R Schofield
- Neuroscience Research Australia, Randwick, NSW, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Kang Sim
- West Region, Institute of Mental Health, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Dan J Stein
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- South African MRC Unit on Risk & Resilience in Mental Disorders, University of Cape Town, Cape Town, South Africa
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Henk S Temmingh
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Katharina Thiel
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Neeltje E M van Haren
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus University, Rotterdam, The Netherlands
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Holly Van Gestel
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Cristian Vargas
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Eduard Vieta
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Annabel Vreeker
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus University, Rotterdam, The Netherlands
| | - Lena Waltemate
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | - Christopher R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Ole Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada.
- National Institute of Mental Health, Klecany, Czech Republic.
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12
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Macoveanu J, Freeman KO, Kjaerstad HL, Knudsen GM, Kessing LV, Miskowiak KW. Structural brain abnormalities associated with cognitive impairments in bipolar disorder. Acta Psychiatr Scand 2021; 144:379-391. [PMID: 34245569 DOI: 10.1111/acps.13349] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 06/18/2021] [Accepted: 07/07/2021] [Indexed: 12/23/2022]
Abstract
OBJECTIVE Cognitive impairment has been highlighted as a core feature of bipolar disorder (BD) that often persists during remission. The specific brain correlates of cognitive impairment in BD remain unclear which impedes efficient therapeutic approaches. In a large sample of remitted BD patients, we investigated whether morphological brain abnormalities within dorsal prefrontal cortex (PFC) and hippocampus were related to cognitive deficits. METHODS Remitted BD patients (n = 153) and healthy controls (n = 52) underwent neuropsychological assessment and structural MRI. Based on hierarchical cluster analysis of neuropsychological test performance, patients were classified as either cognitively impaired (n = 91) or cognitively normal (n = 62). The neurocognitive subgroups were compared amongst each other and with healthy controls in terms of dorsal PFC cortical thickness and volume, hippocampus shape and volume, and total cerebral grey and white matter volumes. RESULTS Cognitively impaired patients displayed greater left dorsomedial prefrontal thickness compared to cognitively normal patients and healthy controls. Hippocampal grey matter volume and shape were similar across patient subgroups and healthy controls. At a whole-brain level, cognitively impaired patients had lower cerebral white matter volume compared to the other groups. Across all participants, lower white matter volume correlated with more impaired neuropsychological test performance. CONCLUSIONS Our findings associate cognitive impairment in bipolar disorder with cerebral white matter deficits, factors which may relate to the observed morphological changes in dorsomedial PFC possibly due to increased neurocognitive effort to maintain symptom stability in these remitted patients.
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Affiliation(s)
- Julian Macoveanu
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Katherine Olivia Freeman
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Hanne Lie Kjaerstad
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Gitte Moos Knudsen
- Neurobiology Research Unit and Center for Integrated Molecular imaging, Rigshospitalet, Copenhagen, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lars Vedel Kessing
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kamilla Woznica Miskowiak
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.,Department of Psychology, University of Copenhagen, Copenhagen, Denmark
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13
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Goldstein KE, Feinberg A, Corniquel MB, Szeszko JR, New AS, Haznedar MM, Goodman M, Chu KW, Tang CY, Hazlett EA. Anomalous Amygdala Habituation to Unpleasant Stimuli Among Unmedicated Individuals With Borderline Personality Disorder and a History of Self-Harming Behavior. J Pers Disord 2021; 35:618-631. [PMID: 33779281 DOI: 10.1521/pedi_2020_34_495] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Self-harming behavior (SB) is one of the diagnostic criteria for borderline personality disorder (BPD). However, it is not exhibited by all individuals with BPD. Furthermore, studies examining the neural correlates of SB in BPD are lacking. Given research showing that BPD patients have difficulty habituating to affective stimuli, this study investigated whether anomalous amygdala activation is specific to BPD patients with SB. The authors used fMRI to compare amygdala activation in BPD patients with SB (n = 15) to BPD patients without SB (n = 18) and healthy controls (n = 32) during a task involving pleasant, neutral, and unpleasant pictures, presented twice. BPD patients with SB demonstrated greater amygdala activity during the second presentation of unpleasant pictures. Results highlight neurobiological differences in BPD patients with and without SB and suggest that anomalous amygdala habituation to unpleasant stimuli may be related to SB.
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Affiliation(s)
- Kim E Goldstein
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.,Mental Illness Research, Education, and Clinical Center (MIRECC VISN 2), James J. Peters VA Medical Center, Bronx, New York
| | - Abigail Feinberg
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.,Mental Illness Research, Education, and Clinical Center (MIRECC VISN 2), James J. Peters VA Medical Center, Bronx, New York
| | - Morgan B Corniquel
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Jake R Szeszko
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.,Mental Illness Research, Education, and Clinical Center (MIRECC VISN 2), James J. Peters VA Medical Center, Bronx, New York
| | - Antonia S New
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - M Mehmet Haznedar
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.,Mental Health Patient Care Center, James J. Peters Veterans Affairs Medical Center
| | - Marianne Goodman
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.,Mental Illness Research, Education, and Clinical Center (MIRECC VISN 2), James J. Peters VA Medical Center, Bronx, New York
| | - King-Wai Chu
- Mental Illness Research, Education, and Clinical Center (MIRECC VISN 2), James J. Peters VA Medical Center, Bronx, New York
| | - Cheuk Y Tang
- Translational and Molecular Imaging Institute, Department of Radiology, Icahn School of Medicine at Mount Sinai
| | - Erin A Hazlett
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.,Mental Illness Research, Education, and Clinical Center (MIRECC VISN 2), James J. Peters VA Medical Center, Bronx, New York
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14
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Cattarinussi G, Delvecchio G, Maggioni E, Bressi C, Brambilla P. Ultra-high field imaging in Major Depressive Disorder: a review of structural and functional studies. J Affect Disord 2021; 290:65-73. [PMID: 33993082 DOI: 10.1016/j.jad.2021.04.056] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 03/25/2021] [Accepted: 04/23/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) is a severe and pervasive psychiatric condition with a lifetime prevalence of 15-25%. Numerous Magnetic Resonance Imaging (MRI) studies employing scans at field strengths of 1.5T or 3T have been carried out in the last decades, providing an unprecedented insight into the neural correlates of MDD. However, in recent years, MRI technology has largely progressed and the use of scans at ultra-high field (≥ 7T) has improved the sensitivity and the resolution of MR images. In this context, with this review we aim to summarize evidence of structural and functional brain mechanisms underlying MDD obtained with ultra-high field MRI. METHODS We conducted a search on PubMed, Scopus and Web of Science of neuroimaging studies on MDD patients, which employed ultra-high field MRI. We detected six structural MRI studies, two Diffusion Tensor Imaging (DTI) studies and five functional MRI (fMRI) studies. RESULTS Overall, the MRI and DTI studies showed volumetric and structural connectivity alterations in the hippocampus and, to a lesser extent, in the amygdala. In contrast, more heterogeneous results were reported by fMRI studies, which, though, described functional abnormalities in the cingulate cortex, thalamus and several other brain areas. LIMITATIONS The small sample size and the heterogeneity in patients' samples, processing and study design limit the conclusion of the present review. CONCLUSIONS Studies employing scans at ultra-high magnetic field may provide a useful contribution to the mixed body of literature on MDD. This preliminary but promising evidence confirms the importance of performing ultra-high field MRI investigations in order to detect and better characterize subtle brain abnormalities in MDD.
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Affiliation(s)
| | - Giuseppe Delvecchio
- Department of Pathophysiology and Transplantation, University of Milan, via F. Sforza 35, 20122 Milan, Italy.
| | - Eleonora Maggioni
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Cinzia Bressi
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Paolo Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, via F. Sforza 35, 20122 Milan, Italy; Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
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15
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Ramirez JSB, Graham AM, Thompson JR, Zhu JY, Sturgeon D, Bagley JL, Thomas E, Papadakis S, Bah M, Perrone A, Earl E, Miranda-Dominguez O, Feczko E, Fombonne EJ, Amaral DG, Nigg JT, Sullivan EL, Fair DA. Maternal Interleukin-6 Is Associated With Macaque Offspring Amygdala Development and Behavior. Cereb Cortex 2021; 30:1573-1585. [PMID: 31665252 DOI: 10.1093/cercor/bhz188] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 07/11/2019] [Accepted: 07/16/2019] [Indexed: 12/20/2022] Open
Abstract
Human and animal cross-sectional studies have shown that maternal levels of the inflammatory cytokine interleukin-6 (IL-6) may compromise brain phenotypes assessed at single time points. However, how maternal IL-6 associates with the trajectory of brain development remains unclear. We investigated whether maternal IL-6 levels during pregnancy relate to offspring amygdala volume development and anxiety-like behavior in Japanese macaques. Magnetic resonance imaging (MRI) was administered to 39 Japanese macaque offspring (Female: 18), providing at least one or more time points at 4, 11, 21, and 36 months of age with a behavioral assessment at 11 months of age. Increased maternal third trimester plasma IL-6 levels were associated with offspring's smaller left amygdala volume at 4 months, but with more rapid amygdala growth from 4 to 36 months. Maternal IL-6 predicted offspring anxiety-like behavior at 11 months, which was mediated by reduced amygdala volumes in the model's intercept (i.e., 4 months). The results increase our understanding of the role of maternal inflammation in the development of neurobehavioral disorders by detailing the associations of a commonly examined inflammatory indicator, IL-6, on amygdala volume growth over time, and anxiety-like behavior.
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Affiliation(s)
- Julian S B Ramirez
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland OR, USA
| | - Alice M Graham
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland OR, USA
| | - Jacqueline R Thompson
- Divisions of Neuroscience and Cardiometabolic Health, Oregon National Primate Research Center, Beaverton OR, USA
| | - Jennifer Y Zhu
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland OR, USA
| | - Darrick Sturgeon
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland OR, USA
| | - Jennifer L Bagley
- Divisions of Neuroscience and Cardiometabolic Health, Oregon National Primate Research Center, Beaverton OR, USA
| | - Elina Thomas
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland OR, USA
| | - Samantha Papadakis
- Neuroscience Graduate Program, Oregon Health & Science University, Portland OR, USA
| | - Muhammed Bah
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland OR, USA
| | - Anders Perrone
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland OR, USA
| | - Eric Earl
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland OR, USA
| | | | - Eric Feczko
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland OR, USA.,Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland OR, USA
| | - Eric J Fombonne
- Department of Psychiatry, Oregon Health & Science University, Portland OR, USA.,Department of Pediatrics, Oregon Health & Science University, Portland OR, USA.,Institute for Development & Disability, Oregon Health & Science University, Portland OR, USA
| | - David G Amaral
- MIND Institute, University of California Davis, Davis CA, USA.,Department of Psychiatry and Behavioral Sciences, and Center for Neuroscience, University of California Davis, Davis CA, USA.,California National Primate Research Center, University of California Davis, Davis CA, USA
| | - Joel T Nigg
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland OR, USA.,Department of Psychiatry, Oregon Health & Science University, Portland OR, USA
| | - Elinor L Sullivan
- Divisions of Neuroscience and Cardiometabolic Health, Oregon National Primate Research Center, Beaverton OR, USA.,Department of Psychiatry, Oregon Health & Science University, Portland OR, USA.,Department of Human Physiology, University of Oregon, Eugene OR, USA
| | - Damien A Fair
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland OR, USA.,Neuroscience Graduate Program, Oregon Health & Science University, Portland OR, USA.,Department of Psychiatry, Oregon Health & Science University, Portland OR, USA.,Advance Imaging Research Center, Oregon Health & Science University, Portland OR, USA
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16
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Gao M, Sun H, Cheng X, Gao D, Qiao M. Magnetic resonance imaging in mood disorders: a bibliometric analysis from 1999 to 2020. Clin Transl Imaging 2021. [DOI: 10.1007/s40336-021-00425-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Abstract
Objective
Globally, mood disorders are highly prevalent, and are associated with increased morbidity and mortalities. Magnetic resonance imaging is widely used in the study of mood disorders. However, bibliometric analyses of the state of this field are lacking.
Methods
A literature search in the web of science core collection (WoSCC) for the period between 1945 and 2020 returned 3073 results. Data extracted from these publications include, publication year, journal names, countries of origin, institutions, author names and research areas. The bibliometric method, CiteSpace V and key words analysis were used to visualize the collaboration network and identify research trends, respectively.
Results
Since it was first reported in 1999, the use of magnetic resonance imaging in studies on mood disorders has been increasing. Biological psychiatry is the core journal that has extensively published on this topic, while the UNIV PITTSBURGH, USA, has the highest published papers on this topic. Keyword analysis indicated that studies on depression, bipolar disorders, and schizophrenia, with a focus on specific brain regions, including amygdala, prefrontal cortex and anterior cingulate cortex are key research topics.
Conclusion
Brain structure and network, sex differences, and treatment-associated brain changes are key topics of future research.
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17
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Elias-Mas A, Alvarez-Mora MI, Caro-Benito C, Rodriguez-Revenga L. Neuroimaging Insight Into Fragile X-Associated Neuropsychiatric Disorders: Literature Review. Front Psychiatry 2021; 12:728952. [PMID: 34721105 PMCID: PMC8554234 DOI: 10.3389/fpsyt.2021.728952] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 09/17/2021] [Indexed: 11/29/2022] Open
Abstract
FMR1 premutation is defined by 55-200 CGG repeats in the Fragile X Mental Retardation 1 (FMR1) gene. FMR1 premutation carriers are at risk of developing a neurodegenerative disease called fragile X-associated tremor/ataxia syndrome (FXTAS) and Fragile X-associated primary ovarian insufficiency (FXPOI) in adulthood. In the last years an increasingly board spectrum of clinical manifestations including psychiatric disorders have been described as occurring at a greater frequency among FMR1 premutation carriers. Herein, we reviewed the neuroimaging findings reported in relation with psychiatric symptomatology in adult FMR1 premutation carriers. A structured electronic literature search was conducted on FMR1 premutation and neuroimaging yielding a total of 3,229 articles examined. Of these, 7 articles were analyzed and are included in this review. The results showed that the main radiological findings among adult FMR1 premutation carriers presenting neuropsychiatric disorders were found on the amygdala and hippocampus, being the functional abnormalities more consistent and the volumetric changes more inconsistent among studies. From a molecular perspective, CGG repeat size, FMR1 mRNA and FMRP levels have been investigated in relation with the neuroimaging findings. Based on the published results, FMRP might play a key role in the pathophysiology of the psychiatric symptoms described among FMR1 premutation carriers. However, additional studies including further probes of brain function and a broader scope of psychiatric symptom measurement are required in order to obtain a comprehensive landscape of the neuropsychiatric phenotype associated with the FMR1 premutation.
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Affiliation(s)
- Andrea Elias-Mas
- Radiology Department, Hospital Universitari Mútua de Terrassa, Terrassa, Spain.,Institute for Research and Innovation Parc Taulí (I3PT), Sabadell, Spain.,Universitat Internacional de Catalunya (UIC), Barcelona, Spain
| | - Maria Isabel Alvarez-Mora
- Biochemistry and Molecular Genetics Department, Hospital Clinic of Barcelona, Barcelona, Spain.,CIBER of Rare Diseases (CIBERER), Instituto de Salud Carlos III, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | | | - Laia Rodriguez-Revenga
- Biochemistry and Molecular Genetics Department, Hospital Clinic of Barcelona, Barcelona, Spain.,CIBER of Rare Diseases (CIBERER), Instituto de Salud Carlos III, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
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18
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Aghamohammadi-Sereshki A, Coupland NJ, Silverstone PH, Huang Y, Hegadoren KM, Carter R, Seres P, Malykhin NV. Effects of childhood adversity on the volumes of the amygdala subnuclei and hippocampal subfields in individuals with major depressive disorder. J Psychiatry Neurosci 2021; 46:E186-E195. [PMID: 33497169 PMCID: PMC7955852 DOI: 10.1503/jpn.200034] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Reductions in total hippocampus volume have frequently been reported in MRI studies in major depressive disorder (MDD), but reports of differences in total amygdala volume have been inconsistent. Childhood maltreatment is an important risk factor for MDD in adulthood and may affect the volume of the hippocampus and amygdala. In the present study, we examined associations between the volumes of the amygdala subnuclei and hippocampal subfields and history of childhood maltreatment in participants with MDD. METHODS We recruited 35 patients who met the DSM-IV criteria for MDD and 35 healthy controls. We acquired MRI data sets on a 4.7 T Varian Inova scanner. We manually delineated the amygdala subnuclei (lateral, basal and accessory basal nuclei, and the cortical and centromedial groups) and hippocampal subfields (cornu ammonis, subiculum and dentate gyrus) using reliable volumetric methods. We assessed childhood maltreatment using the Childhood Trauma Questionnaire in participants with MDD. RESULTS In participants with MDD, a history of childhood maltreatment had significant negative associations with volume in the right amygdala, anterior hippocampus and total cornu ammonis subfield bilaterally. For volumes of the amygdala subnuclei, such effects were limited to the basal, accessory basal and cortical subnuclei in the right hemisphere, but they did not survive correction for multiple comparisons. We did not find significant effects of MDD or antidepressant treatment on volumes of the amygdala subnuclei. LIMITATIONS Our study was a cross-sectional study. CONCLUSION Our results provide evidence of negative associations between history of childhood maltreatment and volumes of medial temporal lobe structures in participants with MDD. This may help to identify potential mechanisms by which maltreatment leads to clinical impacts.
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Affiliation(s)
- Arash Aghamohammadi-Sereshki
- From the Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alta., Canada (Aghamohammadi-Sereshki); the Department of Psychiatry, University of Alberta, Edmonton, Alta., Canada (Coupland, Silverstone, Carter, Malykhin); the Department of Biomedical Engineering, University of Alberta, Edmonton, Alta., Canada (Huang, Carter, Seres, Malykhin); the Faculty of Nursing, University of Alberta, Edmonton, Alta., Canada (Hegadoren); and the Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alta., Canada (Malykhin)
| | - Nicholas J Coupland
- From the Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alta., Canada (Aghamohammadi-Sereshki); the Department of Psychiatry, University of Alberta, Edmonton, Alta., Canada (Coupland, Silverstone, Carter, Malykhin); the Department of Biomedical Engineering, University of Alberta, Edmonton, Alta., Canada (Huang, Carter, Seres, Malykhin); the Faculty of Nursing, University of Alberta, Edmonton, Alta., Canada (Hegadoren); and the Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alta., Canada (Malykhin)
| | - Peter H Silverstone
- From the Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alta., Canada (Aghamohammadi-Sereshki); the Department of Psychiatry, University of Alberta, Edmonton, Alta., Canada (Coupland, Silverstone, Carter, Malykhin); the Department of Biomedical Engineering, University of Alberta, Edmonton, Alta., Canada (Huang, Carter, Seres, Malykhin); the Faculty of Nursing, University of Alberta, Edmonton, Alta., Canada (Hegadoren); and the Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alta., Canada (Malykhin)
| | - Yushan Huang
- From the Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alta., Canada (Aghamohammadi-Sereshki); the Department of Psychiatry, University of Alberta, Edmonton, Alta., Canada (Coupland, Silverstone, Carter, Malykhin); the Department of Biomedical Engineering, University of Alberta, Edmonton, Alta., Canada (Huang, Carter, Seres, Malykhin); the Faculty of Nursing, University of Alberta, Edmonton, Alta., Canada (Hegadoren); and the Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alta., Canada (Malykhin)
| | - Kathleen M Hegadoren
- From the Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alta., Canada (Aghamohammadi-Sereshki); the Department of Psychiatry, University of Alberta, Edmonton, Alta., Canada (Coupland, Silverstone, Carter, Malykhin); the Department of Biomedical Engineering, University of Alberta, Edmonton, Alta., Canada (Huang, Carter, Seres, Malykhin); the Faculty of Nursing, University of Alberta, Edmonton, Alta., Canada (Hegadoren); and the Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alta., Canada (Malykhin)
| | - Rawle Carter
- From the Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alta., Canada (Aghamohammadi-Sereshki); the Department of Psychiatry, University of Alberta, Edmonton, Alta., Canada (Coupland, Silverstone, Carter, Malykhin); the Department of Biomedical Engineering, University of Alberta, Edmonton, Alta., Canada (Huang, Carter, Seres, Malykhin); the Faculty of Nursing, University of Alberta, Edmonton, Alta., Canada (Hegadoren); and the Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alta., Canada (Malykhin)
| | - Peter Seres
- From the Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alta., Canada (Aghamohammadi-Sereshki); the Department of Psychiatry, University of Alberta, Edmonton, Alta., Canada (Coupland, Silverstone, Carter, Malykhin); the Department of Biomedical Engineering, University of Alberta, Edmonton, Alta., Canada (Huang, Carter, Seres, Malykhin); the Faculty of Nursing, University of Alberta, Edmonton, Alta., Canada (Hegadoren); and the Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alta., Canada (Malykhin)
| | - Nikolai V Malykhin
- From the Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alta., Canada (Aghamohammadi-Sereshki); the Department of Psychiatry, University of Alberta, Edmonton, Alta., Canada (Coupland, Silverstone, Carter, Malykhin); the Department of Biomedical Engineering, University of Alberta, Edmonton, Alta., Canada (Huang, Carter, Seres, Malykhin); the Faculty of Nursing, University of Alberta, Edmonton, Alta., Canada (Hegadoren); and the Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alta., Canada (Malykhin)
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19
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Acosta H, Kantojärvi K, Hashempour N, Pelto J, Scheinin NM, Lehtola SJ, Lewis JD, Fonov VS, Collins DL, Evans A, Parkkola R, Lähdesmäki T, Saunavaara J, Karlsson L, Merisaari H, Paunio T, Karlsson H, Tuulari JJ. Partial Support for an Interaction Between a Polygenic Risk Score for Major Depressive Disorder and Prenatal Maternal Depressive Symptoms on Infant Right Amygdalar Volumes. Cereb Cortex 2020; 30:6121-6134. [PMID: 32676648 DOI: 10.1093/cercor/bhaa158] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 04/02/2020] [Accepted: 05/09/2020] [Indexed: 12/22/2022] Open
Abstract
Psychiatric disease susceptibility partly originates prenatally and is shaped by an interplay of genetic and environmental risk factors. A recent study has provided preliminary evidence that an offspring polygenic risk score for major depressive disorder (PRS-MDD), based on European ancestry, interacts with prenatal maternal depressive symptoms (GxE) on neonatal right amygdalar (US and Asian cohort) and hippocampal volumes (Asian cohort). However, to date, this GxE interplay has only been addressed by one study and is yet unknown for a European ancestry sample. We investigated in 105 Finnish mother-infant dyads (44 female, 11-54 days old) how offspring PRS-MDD interacts with prenatal maternal depressive symptoms (Edinburgh Postnatal Depression Scale, gestational weeks 14, 24, 34) on infant amygdalar and hippocampal volumes. We found a GxE effect on right amygdalar volumes, significant in the main analysis, but nonsignificant after multiple comparison correction and some of the control analyses, whose direction paralleled the US cohort findings. Additional exploratory analyses suggested a sex-specific GxE effect on right hippocampal volumes. Our study is the first to provide support, though statistically weak, for an interplay of offspring PRS-MDD and prenatal maternal depressive symptoms on infant limbic brain volumes in a cohort matched to the PRS-MDD discovery sample.
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Affiliation(s)
- H Acosta
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, 20500 Turku, Finland.,Department of Psychiatry and Psychotherapy, Philipps University of Marburg, 35037 Marburg, Germany
| | - K Kantojärvi
- Finnish Institute for Health and Welfare, Genomics and Biobank Unit, FI-00271 Helsinki, Finland.,Department of Psychiatry and SleepWell Research Program, Faculty of Medicine, Helsinki University Central Hospital, University of Helsinki, 00100 Helsinki, Finland
| | - N Hashempour
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, 20500 Turku, Finland
| | - J Pelto
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, 20500 Turku, Finland
| | - N M Scheinin
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, 20500 Turku, Finland.,Department of Psychiatry, Turku University Hospital, University of Turku, 20500 Turku, Finland
| | - S J Lehtola
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, 20500 Turku, Finland
| | - J D Lewis
- Montreal Neurological Institute, McGill University, Montreal H3A 0G4, Canada
| | - V S Fonov
- Montreal Neurological Institute, McGill University, Montreal H3A 0G4, Canada
| | - D L Collins
- Montreal Neurological Institute, McGill University, Montreal H3A 0G4, Canada
| | - A Evans
- Montreal Neurological Institute, McGill University, Montreal H3A 0G4, Canada
| | - R Parkkola
- Department of Radiology, Turku University Hospital, University of Turku, 20500 Turku, Finland
| | - T Lähdesmäki
- Department of Pediatric Neurology, Turku University Hospital, University of Turku, 20500 Turku, Finland
| | - J Saunavaara
- Department of Medical Physics, Turku University Hospital, 20521 Turku, Finland
| | - L Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, 20500 Turku, Finland.,Department of Child Psychiatry, Turku University Hospital, University of Turku, 20500 Turku, Finland
| | - H Merisaari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, 20500 Turku, Finland.,Department of Future Technologies, University of Turku, 20500 Turku, Finland.,Center of Computational Imaging and Personalized Diagnostics, Case Western Reserve University, Cleveland, OH 44106, USA
| | - T Paunio
- Finnish Institute for Health and Welfare, Genomics and Biobank Unit, FI-00271 Helsinki, Finland.,Department of Psychiatry and SleepWell Research Program, Faculty of Medicine, Helsinki University Central Hospital, University of Helsinki, 00100 Helsinki, Finland
| | - H Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, 20500 Turku, Finland.,Department of Psychiatry, Turku University Hospital, University of Turku, 20500 Turku, Finland
| | - J J Tuulari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, 20500 Turku, Finland.,Department of Psychiatry, Turku University Hospital, University of Turku, 20500 Turku, Finland.,Turku Collegium for Science and Medicine, University of Turku, 20500 Turku, Finland.,Department of Psychiatry, University of Oxford, Oxford, OX1 2JD, UK
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20
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Matsuo K, Harada K, Fujita Y, Okamoto Y, Ota M, Narita H, Mwangi B, Gutierrez CA, Okada G, Takamura M, Yamagata H, Kusumi I, Kunugi H, Inoue T, Soares JC, Yamawaki S, Watanabe Y. Distinctive Neuroanatomical Substrates for Depression in Bipolar Disorder versus Major Depressive Disorder. Cereb Cortex 2020; 29:202-214. [PMID: 29202177 DOI: 10.1093/cercor/bhx319] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2017] [Accepted: 11/02/2017] [Indexed: 12/20/2022] Open
Abstract
No neuroanatomical substrates for distinguishing between depression of bipolar disorder (dBD) and major depressive disorder (dMDD) are currently known. The aim of the current multicenter study was to identify neuroanatomical patterns distinct to depressed patients with the two disorders. Further analysis was conducted on an independent sample to enable generalization of results. We directly compared MR images of these subjects using voxel-based morphometry (VBM) and a support vector machine (SVM) algorithm using 1531 participants. The VBM analysis showed significantly reduced gray matter volumes in the bilateral dorsolateral prefrontal (DLPFC) and anterior cingulate cortices (ACC) in patients with dBD compared with those with dMDD. Patients with the two disorders shared small gray matter volumes for the right ACC and left inferior frontal gyrus when compared with healthy subjects. Voxel signals in these regions during SVM analysis contributed to an accurate classification of the two diagnoses. The VBM and SVM results in the second cohort also supported these results. The current findings provide new evidence that gray matter volumes in the DLPFC and ACC are core regions in displaying shared and distinct neuroanatomical substrates and can shed light on elucidation of neural mechanism for depression within the bipolar/major depressive disorder continuum.
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Affiliation(s)
- Koji Matsuo
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, 1-1-1 Minamikogushi, Ube, Yamaguchi, Japan
| | - Kenichiro Harada
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, 1-1-1 Minamikogushi, Ube, Yamaguchi, Japan
| | - Yusuke Fujita
- Division of Electrical, Electronic and Information Engineering, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Tokiwadai 2-16-1, Ube, Yamaguchi, Japan
| | - Yasumasa Okamoto
- Department of Psychiatry and Neurosciences, Institute of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Japan
| | - Miho Ota
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, Japan
| | - Hisashi Narita
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, North 15, West 7, Kita-ku, Sapporo, Japan
| | - Benson Mwangi
- Department of Psychiatry, The University of Texas Health Science Center at Houston, TX, USA
| | - Carlos A Gutierrez
- Department of Psychiatry, The University of Texas Health Science Center at Houston, TX, USA
| | - Go Okada
- Department of Psychiatry and Neurosciences, Institute of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Japan
| | - Masahiro Takamura
- Department of Psychiatry and Neurosciences, Institute of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Japan
| | - Hirotaka Yamagata
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, 1-1-1 Minamikogushi, Ube, Yamaguchi, Japan
| | - Ichiro Kusumi
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, North 15, West 7, Kita-ku, Sapporo, Japan
| | - Hiroshi Kunugi
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, Japan
| | - Takeshi Inoue
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, North 15, West 7, Kita-ku, Sapporo, Japan.,Department of Psychiatry, Tokyo Medical University, 6-7-1, Nishishinjuku, Shinjuku-ku, Tokyo, Japan
| | - Jair C Soares
- Department of Psychiatry, The University of Texas Health Science Center at Houston, TX, USA
| | - Shigeto Yamawaki
- Department of Psychiatry and Neurosciences, Institute of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Japan
| | - Yoshifumi Watanabe
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, 1-1-1 Minamikogushi, Ube, Yamaguchi, Japan
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21
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Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group. Mol Psychiatry 2020; 25:2130-2143. [PMID: 30171211 PMCID: PMC7473838 DOI: 10.1038/s41380-018-0228-9] [Citation(s) in RCA: 72] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Revised: 06/11/2018] [Accepted: 07/24/2018] [Indexed: 01/10/2023]
Abstract
Bipolar disorders (BDs) are among the leading causes of morbidity and disability. Objective biological markers, such as those based on brain imaging, could aid in clinical management of BD. Machine learning (ML) brings neuroimaging analyses to individual subject level and may potentially allow for their diagnostic use. However, fair and optimal application of ML requires large, multi-site datasets. We applied ML (support vector machines) to MRI data (regional cortical thickness, surface area, subcortical volumes) from 853 BD and 2167 control participants from 13 cohorts in the ENIGMA consortium. We attempted to differentiate BD from control participants, investigated different data handling strategies and studied the neuroimaging/clinical features most important for classification. Individual site accuracies ranged from 45.23% to 81.07%. Aggregate subject-level analyses yielded the highest accuracy (65.23%, 95% CI = 63.47-67.00, ROC-AUC = 71.49%, 95% CI = 69.39-73.59), followed by leave-one-site-out cross-validation (accuracy = 58.67%, 95% CI = 56.70-60.63). Meta-analysis of individual site accuracies did not provide above chance results. There was substantial agreement between the regions that contributed to identification of BD participants in the best performing site and in the aggregate dataset (Cohen's Kappa = 0.83, 95% CI = 0.829-0.831). Treatment with anticonvulsants and age were associated with greater odds of correct classification. Although short of the 80% clinically relevant accuracy threshold, the results are promising and provide a fair and realistic estimate of classification performance, which can be achieved in a large, ecologically valid, multi-site sample of BD participants based on regional neurostructural measures. Furthermore, the significant classification in different samples was based on plausible and similar neuroanatomical features. Future multi-site studies should move towards sharing of raw/voxelwise neuroimaging data.
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22
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Hashempour N, Tuulari JJ, Merisaari H, Lidauer K, Luukkonen I, Saunavaara J, Parkkola R, Lähdesmäki T, Lehtola SJ, Keskinen M, Lewis JD, Scheinin NM, Karlsson L, Karlsson H. A Novel Approach for Manual Segmentation of the Amygdala and Hippocampus in Neonate MRI. Front Neurosci 2019; 13:1025. [PMID: 31616245 PMCID: PMC6768976 DOI: 10.3389/fnins.2019.01025] [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] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Accepted: 09/09/2019] [Indexed: 12/16/2022] Open
Abstract
The gross anatomy of the infant brain at term is fairly similar to that of the adult brain, but structures are immature, and the brain undergoes rapid growth during the first 2 years of life. Neonate magnetic resonance (MR) images have different contrasts compared to adult images, and automated segmentation of brain magnetic resonance imaging (MRI) can thus be considered challenging as less software options are available. Despite this, most anatomical regions are identifiable and thus amenable to manual segmentation. In the current study, we developed a protocol for segmenting the amygdala and hippocampus in T2-weighted neonatal MR images. The participants were 31 healthy infants between 2 and 5 weeks of age. Intra-rater reliability was measured in 12 randomly selected MR images, where 6 MR images were segmented at 1-month intervals between the delineations, and another 6 MR images at 6-month intervals. The protocol was also tested by two independent raters in 20 randomly selected T2-weighted images, and finally with T1 images. Intraclass correlation coefficient (ICC) and Dice similarity coefficient (DSC) for intra-rater, inter-rater, and T1 vs. T2 comparisons were computed. Moreover, manual segmentations were compared to automated segmentations performed by iBEAT toolbox in 10 T2-weighted MR images. The intra-rater reliability was high ICC ≥ 0.91, DSC ≥ 0.89, the inter-rater reliabilities were satisfactory ICC ≥ 0.90, DSC ≥ 0.75 for hippocampus and DSC ≥ 0.52 for amygdalae. Segmentations for T1 vs. T2-weighted images showed high consistency ICC ≥ 0.90, DSC ≥ 0.74. The manual and iBEAT segmentations showed no agreement, DSC ≥ 0.39. In conclusion, there is a clear need to improve and develop the procedures for automated segmentation of infant brain MR images.
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Affiliation(s)
- Niloofar Hashempour
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland.,Department of Psychiatry, Turku University Hospital, University of Turku, Turku, Finland
| | - Jetro J Tuulari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland.,Department of Psychiatry, Turku University Hospital, University of Turku, Turku, Finland.,Turku Collegium for Science and Medicine, University of Turku, Turku, Finland
| | - Harri Merisaari
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States
| | - Kristian Lidauer
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
| | - Iiris Luukkonen
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
| | - Jani Saunavaara
- Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Riitta Parkkola
- Department of Radiology, Turku University Hospital, University of Turku, Turku, Finland
| | - Tuire Lähdesmäki
- Department of Pediatric Neurology, Turku University Hospital, University of Turku, Turku, Finland
| | - Satu J Lehtola
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
| | - Maria Keskinen
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
| | - John D Lewis
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Noora M Scheinin
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland.,Department of Psychiatry, Turku University Hospital, University of Turku, Turku, Finland.,Turku PET Centre, University of Turku, Turku, Finland
| | - Linnea Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland.,Department of Child Psychiatry, Turku University Hospital, University of Turku, Turku, Finland
| | - Hasse Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland.,Department of Psychiatry, Turku University Hospital, University of Turku, Turku, Finland
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23
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An initial investigation of neonatal neuroanatomy, caregiving, and levels of disorganized behavior. Proc Natl Acad Sci U S A 2019; 116:16787-16792. [PMID: 31383763 DOI: 10.1073/pnas.1900362116] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Attachment disorganization is a risk factor for difficulties in attention, social relationships, and mental health. Conceptually, attachment disorganization may indicate a breakdown in fear regulation resulting from repeated exposure to frightening maternal care. In addition, past research has examined the influence of stress-inducing contextual factors and/or child factors upon the development of disorganization. However, no past work has assessed whether infant neuroanatomy, important to stress regulation, moderates the association between maternal care and levels of disorganized behavior. Here, utilizing data from a subsample of 82 dyads taking part in the "Growing Up in Singapore towards Healthy Outcomes" (GUSTO) cohort, we assessed the prediction from maternal sensitive caregiving at 6 mo and levels of attachment disorganization at 1.5 y, as moderated by hippocampal and amygdala volume determined within the first 2 weeks of life. Results indicate a significant interaction between neonatal left hippocampal volume and maternal sensitivity upon levels of disorganized behavior. Although these results require substantiation in further research, if replicated, they may enable new strategies for the identification of processes important to child mental health and points for intervention. This is because neonatal neuroanatomy, as opposed to genetic variation and sociodemographic risk, may be more directly linked to stress responses within individuals.
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24
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Toma S, Islam AH, Metcalfe AWS, Mitchell RHB, Fiksenbaum L, MacIntosh BJ, Goldstein BI. Cortical Volume and Thickness Across Bipolar Disorder Subtypes in Adolescents: A Preliminary Study. J Child Adolesc Psychopharmacol 2019; 29:141-151. [PMID: 30359542 DOI: 10.1089/cap.2017.0137] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVES Neuroimaging studies of adults with bipolar disorder (BD) have identified several BD subtype distinctions, including greater deficits in prefrontal gray matter volumes in BD-I (bipolar I disorder) compared to BD-II (bipolar II disorder). We sought to investigate BD subtype differences in brain structure among adolescents and young adults. METHODS Forty-four youth with BD (14 BD-I, 16 BD-II, and 14 BD-not otherwise specified [NOS], mean age 17) underwent 3T-MRI and images were analyzed using FreeSurfer software. Cortical volume and thickness were analyzed for region of interest (ROI): ventrolateral prefrontal cortex, ventromedial prefrontal cortex, anterior cingulate cortex (ACC), subgenual cingulate cortex, and amygdala, controlling for age, sex, and total intracranial volume. ROIs were selected as found to be implicated in BD in prior studies. A whole brain vertex-wise exploratory analysis was also performed. Uncorrected results are presented. RESULTS There were group differences in ACC thickness (F = 3.88, p = 0.03, η2 = 0.173 uncorrected), which was reduced in BD-II in comparison to BD-I (p = 0.027 uncorrected) and BD-NOS (p = 0.019 uncorrected). These results did not survive correction for multiple comparisons and no other group differences were observed. The exploratory vertex-wise analysis found a similar pattern of lower cortical thickness in BD-II in the left and right superior frontal gyrus and left caudal middle frontal gyrus. CONCLUSIONS This study found reduced cortical thickness for youth with BD-II, relative to BD-I, in regions associated with cognitive control. Further neurostructural differences between subtypes may emerge later during the course of illness.
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Affiliation(s)
- Simina Toma
- 1 Centre for Youth Bipolar Disorder , Sunnybrook Health Sciences Centre, Toronto, Canada .,2 Department of Psychiatry, University of Toronto , Toronto, Canada
| | - Alvi H Islam
- 1 Centre for Youth Bipolar Disorder , Sunnybrook Health Sciences Centre, Toronto, Canada .,2 Department of Psychiatry, University of Toronto , Toronto, Canada
| | - Arron W S Metcalfe
- 1 Centre for Youth Bipolar Disorder , Sunnybrook Health Sciences Centre, Toronto, Canada .,3 Brain Sciences , Sunnybrook Health Sciences Centre, Toronto, Canada .,4 Heart and Stroke Foundation Canadian Partnership for Stroke Recovery , Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Rachel H B Mitchell
- 1 Centre for Youth Bipolar Disorder , Sunnybrook Health Sciences Centre, Toronto, Canada .,2 Department of Psychiatry, University of Toronto , Toronto, Canada
| | - Lisa Fiksenbaum
- 1 Centre for Youth Bipolar Disorder , Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Bradley J MacIntosh
- 3 Brain Sciences , Sunnybrook Health Sciences Centre, Toronto, Canada .,4 Heart and Stroke Foundation Canadian Partnership for Stroke Recovery , Sunnybrook Health Sciences Centre, Toronto, Canada .,5 Department of Medical Biophysics, University of Toronto , Toronto, Canada .,6 Department of Physical Sciences, Sunnybrook Health Sciences Centre , Toronto, Canada
| | - Benjamin I Goldstein
- 1 Centre for Youth Bipolar Disorder , Sunnybrook Health Sciences Centre, Toronto, Canada .,2 Department of Psychiatry, University of Toronto , Toronto, Canada .,4 Heart and Stroke Foundation Canadian Partnership for Stroke Recovery , Sunnybrook Health Sciences Centre, Toronto, Canada .,7 Department of Pharmacology, University of Toronto , Toronto, Canada
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25
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Kertz SJ, Petersen DR, Stevens KT. Cognitive and attentional vulnerability to depression in youth: A review. Clin Psychol Rev 2019; 71:63-77. [PMID: 30732975 DOI: 10.1016/j.cpr.2019.01.004] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2017] [Revised: 01/08/2019] [Accepted: 01/22/2019] [Indexed: 12/14/2022]
Abstract
Although depressive disorders are among the most common disorders in youth, highly efficacious treatments for childhood affective disorders are lacking. There is significant need to better understand the factors that contribute to the development and maintenance of depression in youth so that treatments can be targeted at optimal mechanisms. The aim of the current paper was to synthesize research on cognitive and neurobiological factors associated with youth depression, guided by De Raedt and Koster's model (2010) for vulnerability to depression in adults. Consistent with model predictions, there is evidence that attentional impairments are greatest in the context of negative information, relative to positive or neutral information, and some evidence that attentional deficits are associated with rumination in depressed youth. However, we found little evidence for the model's assumption that attentional bias is an etiological and maintenance factor for depression. There are several other model predictions that require additional study as current data are lacking. Overall, De Raedt and Koster's (2010) integrative cognitive and biological framework has tremendous potential to move the field forward in understanding the development of depression in youth. Additional longitudinal studies incorporating measures across biological and cognitive levels of analysis are needed.
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Affiliation(s)
- Sarah J Kertz
- Southern Illinois University, Carbondale, United States.
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26
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Kim JY, Jeon H, Kwon A, Jin MJ, Lee SH, Chung YC. Self-Awareness of Psychopathology and Brain Volume in Patients With First Episode Psychosis. Front Psychiatry 2019; 10:839. [PMID: 31803084 PMCID: PMC6873658 DOI: 10.3389/fpsyt.2019.00839] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Accepted: 10/22/2019] [Indexed: 01/06/2023] Open
Abstract
Memory impairment, excessive rumination, and increased interpersonal sensitivity are major characteristics of high psychosis risk or first episode psychosis (FEP). Herein, we investigated the relationship between brain volume and self-awareness of psychopathology in patients with FEP. All participants (FEP: 34 and HCs: 34) completed clinical assessments and the following self-reported psychopathology evaluations: prospective and retrospective memory questionnaire (PRMQ), ruminative response scale (RRS), and interpersonal sensitivity measure (IPSM). Structural magnetic resonance imaging was then conducted. The PRMQ, RRS, and IPSM scores were significantly higher in the FEP group than in the healthy controls (HCs). The volumes of the amygdala, hippocampus, and superior temporal gyrus (STG) were significantly lower in the FEP group than in the HCs. There was a significant group-dependent moderation effect between self-awareness of psychopathology (PRMQ, RRS, and IPSM scores) and right STG (rSTG) volume. In the FEP group, self-awareness of psychopathology was positively associated with rSTG volume, while in the HCs, this correlation was negative. Our results indicate that self-awareness of psychopathology impacts rSTG volume in the opposite direction between patients with FEP and HCs. In patients with FEP, awareness of impairment may induce increases in rSTG brain volume. However, HCs showed decreased rSTG volume when they were aware of impairment.
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Affiliation(s)
- Jeong-Youn Kim
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, South Korea
| | - Hyeonjin Jeon
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, South Korea
| | - Aeran Kwon
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, South Korea
| | - Min Jin Jin
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, South Korea.,Department of Psychology, Chung-Ang University, Seoul, South Korea
| | - Seung-Hwan Lee
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, South Korea.,Department of Psychiatry, Inje University, Ilsan-Paik Hospital, Goyang, South Korea
| | - Young-Chul Chung
- Department of Psychiatry, Chonbuk National University Medical School, Jeonju, South Korea
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27
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Bauer IE, Suchting R, Cazala F, Alpak G, Sanches M, Nery FG, Zunta-Soares GB, Soares JC. Changes in amygdala, cerebellum, and nucleus accumbens volumes in bipolar patients treated with lamotrigine. Psychiatry Res Neuroimaging 2018; 278:13-20. [PMID: 29944976 DOI: 10.1016/j.pscychresns.2018.06.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Revised: 06/08/2018] [Accepted: 06/09/2018] [Indexed: 12/21/2022]
Abstract
The neural mechanisms underlying the therapeutic effects of lamotrigine in bipolar depression are still unexplored. This preliminary study compares the effects of a 12-week treatment with lamotrigine on brain volumes in adults with bipolar disorder (BD).12 BD type II patients (age: 49.33 ± 9.95 years, 3 males, 9 females) and 12 age and gender-matched healthy controls (HC) (HC; age: 41 ± 8.60 years, 3 males, 9 females). BD patients were initially administered 25 mg/day of lamotrigine, which was progressively escalated to 200 mg/d. BD participants underwent brain imaging prior to and following lamotrigine treatment. A 50% reduction in depressive scores indicated "remission". Bayesian general linear models controlled for age, gender and intracranial volume were used to examine changes in relevant brain region following treatment. A posterior probability > 0.90 indicated evidence that there was an effect of diagnosis or remission on brain volumes. Probability distributions of interaction effects between remission and time indicated that BD responders displayed decreased amygdala, cerebellum and nucleus accumbens volumes following lamotrigine treatment. No serious adverse side effects were reported. The antidepressant effects of lamotrigine may be linked to volumetric changes in brain regions involved in mood and emotional regulation. These findings are preliminary and replication in a larger sample is warranted.
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Affiliation(s)
- Isabelle E Bauer
- University of Texas Health Science Center at Houston, McGovern Medical School, Department of Psychiatry and Behavioral Sciences, Houston, TX 77054, United States.
| | - Robert Suchting
- University of Texas Health Science Center at Houston, McGovern Medical School, Department of Psychiatry and Behavioral Sciences, Houston, TX 77054, United States
| | - Fadwa Cazala
- University of Texas Health Science Center at Houston, McGovern Medical School, Department of Psychiatry and Behavioral Sciences, Houston, TX 77054, United States
| | - Gokay Alpak
- University of Texas Health Science Center at Houston, McGovern Medical School, Department of Psychiatry and Behavioral Sciences, Houston, TX 77054, United States
| | - Marsal Sanches
- University of Texas Health Science Center at Houston, McGovern Medical School, Department of Psychiatry and Behavioral Sciences, Houston, TX 77054, United States
| | - Fabiano G Nery
- Department of Psychiatry & Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, United States
| | - Giovana B Zunta-Soares
- University of Texas Health Science Center at Houston, McGovern Medical School, Department of Psychiatry and Behavioral Sciences, Houston, TX 77054, United States
| | - Jair C Soares
- University of Texas Health Science Center at Houston, McGovern Medical School, Department of Psychiatry and Behavioral Sciences, Houston, TX 77054, United States
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28
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Cabeen RP, Laidlaw DH, Ruggieri A, Dickstein DP. Preliminary mapping of the structural effects of age in pediatric bipolar disorder with multimodal MR imaging. Psychiatry Res 2018; 273:54-62. [PMID: 29361347 PMCID: PMC5815932 DOI: 10.1016/j.pscychresns.2017.12.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Revised: 12/31/2017] [Accepted: 12/31/2017] [Indexed: 10/18/2022]
Abstract
This study investigates multimodal structural MR imaging biomarkers of development trajectories in pediatric bipolar disorder. T1-weighted and diffusion-weighted MR imaging was conducted to investigate cross-sectional group differences with age between typically developing controls (N = 26) and youths diagnosed with bipolar disorder (N = 26). Region-based analysis was used to examine cortical thickness of gray matter and diffusion tensor parameters in superficial white matter, and tractography-based analysis was used to examine deep white matter fiber bundles. Patients and controls showed significantly different maturation trajectories across brain areas; however, the magnitude of differences varied by region. The rate of cortical thinning with age was greater in patients than controls in the left frontal pole. While controls showed increasing fractional anisotropy (FA) and axial diffusivity (AD) with age, patients showed an opposite trend of decreasing FA and AD with age in fronto-temporal-striatal regions located in both superficial and deep white matter. The findings support fronto-temporal-striatal alterations in the developmental trajectories of youths diagnosed with bipolar disorder, and further, show the value of multimodal computational techniques in the assessment of neuropsychiatric disorders. These preliminary results warrant further investigation into longitudinal changes and the effects of treatment in the brain areas identified in this study.
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Affiliation(s)
- Ryan P Cabeen
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
| | - David H Laidlaw
- Department of Computer Science, Brown University, Providence, RI, USA
| | - Amanda Ruggieri
- Pediatric Mood, Imaging & NeuroDevelopment Program, Bradley Hospital, Alpert Medical School of Brown University, Providence, RI, USA
| | - Daniel P Dickstein
- Pediatric Mood, Imaging & NeuroDevelopment Program, Bradley Hospital, Alpert Medical School of Brown University, Providence, RI, USA
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29
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Akbaş S, Nahir M, Pirzirenli ME, Dündar C, Ceyhan M, Sarısoy G, Şahin B. Quantitative analysis of the amygdala, thalamus and hippocampus on magnetic resonance images in paediatric bipolar disorders and compared with the children of bipolar parents and healthy control. Psychiatry Res Neuroimaging 2017; 270:61-67. [PMID: 29065344 DOI: 10.1016/j.pscychresns.2017.08.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Revised: 06/29/2017] [Accepted: 08/29/2017] [Indexed: 12/28/2022]
Abstract
MR imaging studies in paediatric bipolar disorder have particularly focused on the amygdala and hippocampus, subcortical structures, and to a lesser extent on the thalamus. The purpose of this study was to perform structural analysis of the regions of interest (ROI) associated with mood regulation. In this study 18 children (between the ages of 12-18) were matched according to their age and sex and were divided into three groups. These were: a paediatric bipolar disorder group, risk group and a healthy control group. The structured diagnostic interviews were performed with children and their parents. T1 weighted MR images in the sagittal plane with a thickness of 1mm were taken from the subjects. Automatic structural brain analysis was performed, and the volume and volume fraction (VF) of the ROIs were obtained. Brain size in the patients with paediatric bipolar disorder (742.4 ± 110.1cm3) was significantly smaller than the healthy control group (880.7 ± 73.8cm3) (p≤0.05). MRI analysis between the paediatric bipolar disorder, risk group and healthy control group revealed no difference between them in terms of amygdala, thalamus or hippocampal volumes. In this study, there was no difference between the volumes of amygdala, thalamus or hippocampus.
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Affiliation(s)
- Seher Akbaş
- Department of Child and Adolescent Psychiatry, Erenkoy Mental Health and Neurology Training and Research Hospital, Istanbul, Turkey.
| | - Mert Nahir
- Ondokuz Mayıs University Faculty of Medicine Department of Anatomy, Turkey
| | | | - Cihat Dündar
- Ondokuz Mayıs University Faculty of Medicine Department of Public Health, Turkey
| | - Meltem Ceyhan
- Ondokuz Mayıs University Faculty of Medicine Department of Radiology, Turkey
| | - Gökhan Sarısoy
- Ondokuz Mayıs University Faculty of Medicine Department of Psychiatry, Turkey
| | - Bünyamin Şahin
- Ondokuz Mayıs University Faculty of Medicine Department of Anatomy, Turkey
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Low left amygdala volume is associated with a longer duration of unipolar depression. J Neural Transm (Vienna) 2017; 125:229-238. [DOI: 10.1007/s00702-017-1811-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Accepted: 11/08/2017] [Indexed: 02/08/2023]
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A Multilevel Functional Study of a SNAP25 At-Risk Variant for Bipolar Disorder and Schizophrenia. J Neurosci 2017; 37:10389-10397. [PMID: 28972123 DOI: 10.1523/jneurosci.1040-17.2017] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2017] [Revised: 09/08/2017] [Accepted: 09/13/2017] [Indexed: 12/16/2022] Open
Abstract
The synaptosomal-associated protein SNAP25 is a key player in synaptic vesicle docking and fusion and has been associated with multiple psychiatric conditions, including schizophrenia, bipolar disorder, and attention-deficit/hyperactivity disorder. We recently identified a promoter variant in SNAP25, rs6039769, that is associated with early-onset bipolar disorder and a higher gene expression level in human prefrontal cortex. In the current study, we showed that this variant was associated both in males and females with schizophrenia in two independent cohorts. We then combined in vitro and in vivo approaches in humans to understand the functional impact of the at-risk allele. Thus, we showed in vitro that the rs6039769 C allele was sufficient to increase the SNAP25 transcription level. In a postmortem expression analysis of 33 individuals affected with schizophrenia and 30 unaffected control subjects, we showed that the SNAP25b/SNAP25a ratio was increased in schizophrenic patients carrying the rs6039769 at-risk allele. Last, using genetics imaging in a cohort of 71 subjects, we showed that male risk carriers had an increased amygdala-ventromedial prefrontal cortex functional connectivity and a larger amygdala than non-risk carriers. The latter association has been replicated in an independent cohort of 121 independent subjects. Altogether, results from these multilevel functional studies are bringing strong evidence for the functional consequences of this allelic variation of SNAP25 on modulating the development and plasticity of the prefrontal-limbic network, which therefore may increase the vulnerability to both early-onset bipolar disorder and schizophrenia.SIGNIFICANCE STATEMENT Functional characterization of disease-associated variants is a key challenge in understanding neuropsychiatric disorders and will open an avenue in the development of personalized treatments. Recent studies have accumulated evidence that the SNARE complex, and more specifically the SNAP25 protein, may be involved in psychiatric disorders. Here, our multilevel functional studies are bringing strong evidence for the functional consequences of an allelic variation of SNAP25 on modulating the development and plasticity of the prefrontal-limbic network. These results demonstrate a common genetically driven functional alteration of a synaptic mechanism both in schizophrenia and early-onset bipolar disorder and confirm the shared genetic vulnerability between these two disorders.
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Linking persistent negative symptoms to amygdala-hippocampus structure in first-episode psychosis. Transl Psychiatry 2017; 7:e1195. [PMID: 28786981 PMCID: PMC5611735 DOI: 10.1038/tp.2017.168] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2017] [Revised: 04/12/2017] [Accepted: 05/15/2017] [Indexed: 01/07/2023] Open
Abstract
Early persistent negative symptoms (PNS) following a first episode of psychosis (FEP) are linked to poor functional outcome. Reports of reduced amygdalar and hippocampal volumes in early psychosis have not accounted for heterogeneity of symptoms. Age is also seldom considered in this population, a factor that has the potential to uncover symptom-specific maturational biomarkers pertaining to volume and shape changes within the hippocampus and amygdala. T1-weighted volumes were acquired for early (N=21), secondary (N=30), non-(N=44) PNS patients with a FEP, and controls (N=44). Amygdalar-hippocampal volumes and surface area (SA) metrics were extracted with the Multiple Automatically Generated Templates (MAGeT)-Brain algorithm. Linear mixed models were applied to test for a main effect of group and age × group interactions. Early PNS patients had significantly reduced left amygdalar and right hippocampal volumes, as well as similarly lateralized negative age × group interactions compared to secondary PNS patients (P<0.017, corrected). Morphometry revealed decreased SA in early PNS compared with other patient groups in left central amygdala, and in a posterior region when compared with controls. Early and secondary PNS patients had significantly decreased SA as a function of age compared with patients without such symptoms within the right hippocampal tail (P<0.05, corrected). Significant amygdalar-hippocampal changes with age are linked to PNS after a FEP, with converging results from volumetric and morphometric analyses. Differential age trajectories suggest an aberrant maturational process within FEP patients presenting with PNS, which could represent dynamic endophenotypes setting these patients apart from their non-symptomatic peers. Studies are encouraged to parse apart such symptom constructs when examining neuroanatomical changes emerging after a FEP.
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Arjmand S, Behzadi M, Stephens GJ, Ezzatabadipour S, Seifaddini R, Arjmand S, Shabani M. A Brain on a Roller Coaster: Can the Dopamine Reward System Act as a Protagonist to Subdue the Ups and Downs of Bipolar Disorder? Neuroscientist 2017; 24:423-439. [DOI: 10.1177/1073858417714226] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
One of the most interesting but tenebrous parts of the bipolar disorder (BD) story is the switch between (hypo)mania and depression, which can give bipolar patients a thrilling, but somewhat perilous, ‘ride’. Numerous studies have pointed out that there are some recognizable differences (either state-dependent or state-independent) in several brain regions of people with BD, including components of the brain’s reward system. Understanding the underpinning mechanisms of high and low mood statuses in BD has potential, not only for the development of highly specific and selective pharmaceutical agents, but also for better treatment approaches and psychological interventions to manage BD and, thus, give patients a safer ride. Herein, we review evidence that supports involvement of the reward system in the pathophysiology of mood swings, with the main focus on the mesocorticolimbic dopaminergic neural circuitry. Principally using findings from neuroimaging studies, we aim to signpost readers as to how mood alterations may affect different areas of the reward system and how antipsychotic drugs can influence the activity of these brain areas. Finally, we critically evaluate the hypothesis that the mesocorticolimbic dopamine reward system may act as a functional rheostat for different mood states.
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Affiliation(s)
- Shokouh Arjmand
- Kerman Neuroscience Research Center, Neuropharmacology Institute, Kerman University of Medical Sciences, Kerman, Iran
| | - Mina Behzadi
- Kerman Neuroscience Research Center, Neuropharmacology Institute, Kerman University of Medical Sciences, Kerman, Iran
| | - Gary J. Stephens
- School of Pharmacy, Reading University, Whiteknights, Reading, UK
| | - Sara Ezzatabadipour
- Kerman Neuroscience Research Center, Neuropharmacology Institute, Kerman University of Medical Sciences, Kerman, Iran
| | - Rostam Seifaddini
- Neurology Research Center, Kerman University of Medical Sciences, Kerman, Iran
| | - Shahrad Arjmand
- Department of Psychology, Shahid Bahonar University of Kerman, Kerman, Iran
| | - Mohammad Shabani
- Kerman Neuroscience Research Center, Neuropharmacology Institute, Kerman University of Medical Sciences, Kerman, Iran
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Abstract
OBJECTIVE The exact pathophysiology of bipolar disorder (BD) is not yet fully understood, and there are many questions in this area which should be answered. This review aims to discuss the roles of glial cells in the pathophysiology of BD and their contribution to the mechanism of action of mood-stabilising drugs. METHODS We critically reviewed the most recent advances regarding glial cell roles in the pathophysiology and treatment of BD and the neuroprotective and neurotrophic effects of these cells. RESULTS Postmortem studies revealed a decrease in the glial cell number or density in the specific layers of prefrontal and anterior cingulate cortex in the patients with BD, whereas there was no difference in other brain regions, such as entorhinal cortex, amygdala and hippocampus. Astrocytes and oligodendrocytes were the most important glial types that were responsible for the glial reduction, but microglia activation rather than loss may be implicated in BD. The decreased number or density of glial cells may contribute to the pathological changes observed in neurons in the patients with BD. Alteration of specific neurotrophic factors such as glial cell line-derived neurotrophic factor and S100B may be an important feature of BD. Glial cells mediate the therapeutic effects of mood-stabilising agents in the treatment of BD. CONCLUSION Recent studies provide important evidence on the impairment of glial cells in the pathophysiology and treatment of BD. However, future controlled studies are necessary to elucidate different aspects of glial cells contribution to BD, and the mechanism of action of mood-stabilising drugs.
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Aghamohammadi-Sereshki A, Huang Y, Olsen F, Malykhin NV. In vivo quantification of amygdala subnuclei using 4.7 T fast spin echo imaging. Neuroimage 2017; 170:151-163. [PMID: 28288907 DOI: 10.1016/j.neuroimage.2017.03.016] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2016] [Revised: 03/03/2017] [Accepted: 03/07/2017] [Indexed: 11/15/2022] Open
Abstract
The amygdala (AG) is an almond-shaped heterogeneous structure located in the medial temporal lobe. The majority of previous structural Magnetic Resonance Imaging (MRI) volumetric methods for AG measurement have so far only been able to examine this region as a whole. In order to understand the role of the AG in different neuropsychiatric disorders, it is necessary to understand the functional role of its subnuclei. The main goal of the present study was to develop a reliable volumetric method to delineate major AG subnuclei groups using ultra-high resolution high field MRI. 38 healthy volunteers (15 males and 23 females, 21-60 years of age) without any history of medical or neuropsychiatric disorders were recruited for this study. Structural MRI datasets were acquired at 4.7 T Varian Inova MRI system using a fast spin echo (FSE) sequence. The AG was manually segmented into its five major anatomical subdivisions: lateral (La), basal (B), accessory basal (AB) nuclei, and cortical (Co) and centromedial (CeM) groups. Inter-(intra-) rater reliability of our novel volumetric method was assessed using intra-class correlation coefficient (ICC) and Dice's Kappa. Our results suggest that reliable measurements of the AG subnuclei can be obtained by image analysts with experience in AG anatomy. We provided a step-by-step segmentation protocol and reported absolute and relative volumes for the AG subnuclei. Our results showed that the basolateral (BLA) complex occupies seventy-eight percent of the total AG volume, while CeM and Co groups occupy twenty-two percent of the total AG volume. Finally, we observed no hemispheric effects and no gender differences in the total AG volume and the volumes of its subnuclei. Future applications of this method will help to understand the selective vulnerability of the AG subnuclei in neurological and psychiatric disorders.
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Affiliation(s)
| | - Yushan Huang
- Department of Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada
| | - Fraser Olsen
- Department of Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada
| | - Nikolai V Malykhin
- Neuroscience and Mental Health Institute, Canada; Department of Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada.
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Understanding heterogeneity in grey matter research of adults with childhood maltreatment—A meta-analysis and review. Neurosci Biobehav Rev 2016; 69:299-312. [DOI: 10.1016/j.neubiorev.2016.08.011] [Citation(s) in RCA: 92] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2015] [Revised: 02/18/2016] [Accepted: 08/06/2016] [Indexed: 12/20/2022]
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Souza-Queiroz J, Boisgontier J, Etain B, Poupon C, Duclap D, d'Albis MA, Daban C, Hamdani N, Le Corvoisier P, Delavest M, Bellivier F, Guevara P, Leboyer M, Henry C, Houenou J. Childhood trauma and the limbic network: a multimodal MRI study in patients with bipolar disorder and controls. J Affect Disord 2016; 200:159-64. [PMID: 27136413 DOI: 10.1016/j.jad.2016.04.038] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2016] [Accepted: 04/16/2016] [Indexed: 12/23/2022]
Abstract
BACKGROUND Childhood trauma (CT) is a major risk factor for psychiatric conditions. It is hypothesized that CT effects are mediated by the limbic system. Few multimodal neuroimaging studies allow an integrated perspective of this impact. Our goal was thus to study the effects of CT on the limbic network. METHODS We acquired multimodal MRI (T1, diffusion weighted, and resting state fMRI) data from 79 subjects (47 healthy controls and 32 patients with bipolar disorder, BD). We performed correlational analyses between Childhood Trauma Questionnaire (sub)scores (physical and emotional abuse/neglect and sexual abuse) and anatomo-functional measurements of the limbic network (hippocampal and amygdala volumes, prefronto-limbic functional connectivity, uncinate fractional anisotropy). RESULTS We found CTQ total scores to be negatively correlated with amygdala volume, prefronto-limbic functional connectivity (FC) and uncinate fractional anisotropy in our sample. Considering subscores, neglects (physical and emotional) were the only to affect neural parameters. The patients with BD drove most of the results. LIMITATIONS Small sample size and low level of trauma in controls. CONCLUSIONS Our multimodal approach enabled an integrated view of the long-term effects of CT on the limbic system.
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Affiliation(s)
- Julia Souza-Queiroz
- CAPES Foundation, Ministry of Education of Brazil, Brasília/DF 70040-020, Brazil; Fondation FondaMental, Créteil, France; INSERM, U955, équipe 15 "Psychiatrie Translationnelle", IMRB, Créteil, France
| | - Jennifer Boisgontier
- AP-HP, Hôpitaux H. Mondor, DHU PePsy, Pôle de Psychiatrie, Créteil, France; Faculté de Médecine, Université Paris Est, Créteil, France; Fondation FondaMental, Créteil, France; INSERM, U955, équipe 15 "Psychiatrie Translationnelle", IMRB, Créteil, France; Neurospin, UNIACT Lab, Psychiatry Team, CEA Saclay, Gif sur Yvette, France
| | - Bruno Etain
- AP-HP, Hôpitaux H. Mondor, DHU PePsy, Pôle de Psychiatrie, Créteil, France; Faculté de Médecine, Université Paris Est, Créteil, France; Fondation FondaMental, Créteil, France; INSERM, U955, équipe 15 "Psychiatrie Translationnelle", IMRB, Créteil, France
| | - Cyril Poupon
- Neurospin, UNIRS Lab, CEA Saclay, Gif Sur Yvette, France
| | | | - Marc-Antoine d'Albis
- AP-HP, Hôpitaux H. Mondor, DHU PePsy, Pôle de Psychiatrie, Créteil, France; Faculté de Médecine, Université Paris Est, Créteil, France; Fondation FondaMental, Créteil, France; INSERM, U955, équipe 15 "Psychiatrie Translationnelle", IMRB, Créteil, France; Neurospin, UNIACT Lab, Psychiatry Team, CEA Saclay, Gif sur Yvette, France
| | - Claire Daban
- AP-HP, Hôpitaux H. Mondor, DHU PePsy, Pôle de Psychiatrie, Créteil, France; Faculté de Médecine, Université Paris Est, Créteil, France; Fondation FondaMental, Créteil, France; INSERM, U955, équipe 15 "Psychiatrie Translationnelle", IMRB, Créteil, France
| | - Nora Hamdani
- AP-HP, Hôpitaux H. Mondor, DHU PePsy, Pôle de Psychiatrie, Créteil, France; Faculté de Médecine, Université Paris Est, Créteil, France; Fondation FondaMental, Créteil, France; INSERM, U955, équipe 15 "Psychiatrie Translationnelle", IMRB, Créteil, France
| | | | - Marine Delavest
- Fondation FondaMental, Créteil, France; Inserm, Université Paris Diderot, UMR-S 1144, Paris, France; AP-HP, GH Saint-Louis - Lariboisière - Fernand Widal, Pôle Neurosciences, Paris, France
| | - Frank Bellivier
- Fondation FondaMental, Créteil, France; Inserm, Université Paris Diderot, UMR-S 1144, Paris, France; AP-HP, GH Saint-Louis - Lariboisière - Fernand Widal, Pôle Neurosciences, Paris, France
| | - Pamela Guevara
- Faculty of Engineering, University of Concepción, Concepción, Chile
| | - Marion Leboyer
- AP-HP, Hôpitaux H. Mondor, DHU PePsy, Pôle de Psychiatrie, Créteil, France; Faculté de Médecine, Université Paris Est, Créteil, France; Fondation FondaMental, Créteil, France; INSERM, U955, équipe 15 "Psychiatrie Translationnelle", IMRB, Créteil, France
| | - Chantal Henry
- AP-HP, Hôpitaux H. Mondor, DHU PePsy, Pôle de Psychiatrie, Créteil, France; Faculté de Médecine, Université Paris Est, Créteil, France; Fondation FondaMental, Créteil, France; INSERM, U955, équipe 15 "Psychiatrie Translationnelle", IMRB, Créteil, France; Institut Pasteur, Unité Perception et Mémoire, F-75015 Paris, France
| | - Josselin Houenou
- AP-HP, Hôpitaux H. Mondor, DHU PePsy, Pôle de Psychiatrie, Créteil, France; Faculté de Médecine, Université Paris Est, Créteil, France; Fondation FondaMental, Créteil, France; INSERM, U955, équipe 15 "Psychiatrie Translationnelle", IMRB, Créteil, France; Neurospin, UNIACT Lab, Psychiatry Team, CEA Saclay, Gif sur Yvette, France.
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Nickson T, Chan SWY, Papmeyer M, Romaniuk L, Macdonald A, Stewart T, Kielty S, Lawrie SM, Hall J, Sussmann JE, McIntosh AM, Whalley HC. Prospective longitudinal voxel-based morphometry study of major depressive disorder in young individuals at high familial risk. Psychol Med 2016; 46:2351-2361. [PMID: 27282778 DOI: 10.1017/s0033291716000519] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Previous neuroimaging studies indicate abnormalities in cortico-limbic circuitry in mood disorder. Here we employ prospective longitudinal voxel-based morphometry to examine the trajectory of these abnormalities during early stages of illness development. METHOD Unaffected individuals (16-25 years) at high and low familial risk of mood disorder underwent structural brain imaging on two occasions 2 years apart. Further clinical assessment was conducted 2 years after the second scan (time 3). Clinical outcome data at time 3 was used to categorize individuals: (i) healthy controls ('low risk', n = 48); (ii) high-risk individuals who remained well (HR well, n = 53); and (iii) high-risk individuals who developed a major depressive disorder (HR MDD, n = 30). Groups were compared using longitudinal voxel-based morphometry. We also examined whether progress to illness was associated with changes in other potential risk markers (personality traits, symptoms scores and baseline measures of childhood trauma), and whether any changes in brain structure could be indexed using these measures. RESULTS Significant decreases in right amygdala grey matter were found in HR MDD v. controls (p = 0.001) and v. HR well (p = 0.005). This structural change was not related to measures of childhood trauma, symptom severity or measures of sub-diagnostic anxiety, neuroticism or extraversion, although cross-sectionally these measures significantly differentiated the groups at baseline. CONCLUSIONS These longitudinal findings implicate structural amygdala changes in the neurobiology of mood disorder. They also provide a potential biomarker for risk stratification capturing additional information beyond clinically ascertained measures.
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Affiliation(s)
- T Nickson
- Division of Psychiatry,University of Edinburgh,Edinburgh,UK
| | - S W Y Chan
- Clinical Psychology,University of Edinburgh,Edinburgh,UK
| | - M Papmeyer
- Division of Psychiatry,University of Edinburgh,Edinburgh,UK
| | - L Romaniuk
- Division of Psychiatry,University of Edinburgh,Edinburgh,UK
| | - A Macdonald
- Division of Psychiatry,University of Edinburgh,Edinburgh,UK
| | - T Stewart
- Division of Psychiatry,University of Edinburgh,Edinburgh,UK
| | - S Kielty
- Division of Psychiatry,University of Edinburgh,Edinburgh,UK
| | - S M Lawrie
- Division of Psychiatry,University of Edinburgh,Edinburgh,UK
| | - J Hall
- Division of Psychiatry,University of Edinburgh,Edinburgh,UK
| | - J E Sussmann
- Division of Psychiatry,University of Edinburgh,Edinburgh,UK
| | - A M McIntosh
- Division of Psychiatry,University of Edinburgh,Edinburgh,UK
| | - H C Whalley
- Division of Psychiatry,University of Edinburgh,Edinburgh,UK
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Duarte JA, de Araújo e Silva JQ, Goldani AA, Massuda R, Gama CS. Neurobiological underpinnings of bipolar disorder focusing on findings of diffusion tensor imaging: a systematic review. REVISTA BRASILEIRA DE PSIQUIATRIA (SAO PAULO, BRAZIL : 1999) 2016; 38:167-75. [PMID: 27007148 PMCID: PMC7111360 DOI: 10.1590/1516-4446-2015-1793] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/10/2015] [Accepted: 09/02/2015] [Indexed: 04/05/2023]
Abstract
OBJECTIVE To review the available data on diffusion tensor imaging (DTI) of subjects with bipolar disorder (BD), with a particular focus on fractional anisotropy (FA) in white matter (WM) tracts. METHODS The PubMed/MEDLINE database was searched for relevant articles, which were included in a systematic review of the literature. FA reductions and WM abnormalities were divided anatomically into three groups: commissural tracts, association tracts, and projection tracts. RESULTS Eighteen studies met the inclusion criteria. The corpus callosum was the main impaired commissural tract as demonstrated by FA reductions. Five studies reported FA reductions in the cingulum. Two studies reported decreased FA in the anterior thalamic radiation, and one in the corticospinal tract. Conversely, three studies found increased FA values in WM tracts involved in BD pathophysiology. CONCLUSION Despite considerable heterogeneity, these results indicate a direct link between executive cognitive functioning and abnormal WM microstructural integrity of fronto-limbic tracts in patients with remitted BD, providing further evidence of the neuronal disruption that underlies BD symptomatology.
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Affiliation(s)
- Juliana A. Duarte
- Laboratório de Psiquiatria Molecular, Instituto Nacional de Ciência e Tecnologia – Medicina Translacional (INCT-TM), Hospital de Clínicas de Porto Alegre (HCPA), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
- Departamento de Radiologia e Ressonância Magnética, HCPA, Porto Alegre, RS, Brazil
- Tomoclínica, Canoas, RS, Brazil
| | | | - André A. Goldani
- Laboratório de Psiquiatria Molecular, Instituto Nacional de Ciência e Tecnologia – Medicina Translacional (INCT-TM), Hospital de Clínicas de Porto Alegre (HCPA), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Raffael Massuda
- Laboratório de Psiquiatria Molecular, Instituto Nacional de Ciência e Tecnologia – Medicina Translacional (INCT-TM), Hospital de Clínicas de Porto Alegre (HCPA), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
- UFRGS, Porto Alegre, RS, Brazil
- Departamento de Psiquiatria, Universidade Federal do Paraná (UFPR), Curitiba, PR, Brazil
| | - Clarissa S. Gama
- Laboratório de Psiquiatria Molecular, Instituto Nacional de Ciência e Tecnologia – Medicina Translacional (INCT-TM), Hospital de Clínicas de Porto Alegre (HCPA), Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
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Inal-Emiroglu FN, Karabay N, Resmi H, Guleryuz H, Baykara B, Alsen S, Senturk-Pilan B, Akay A, Kose S. Correlations between amygdala volumes and serum levels of BDNF and NGF as a neurobiological markerin adolescents with bipolar disorder. J Affect Disord 2015; 182:50-6. [PMID: 25973783 DOI: 10.1016/j.jad.2015.04.016] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2014] [Revised: 02/10/2015] [Accepted: 04/08/2015] [Indexed: 12/29/2022]
Abstract
BACKGROUND The amygdala is repeatedly implicated as a critical component of the neurocircuitry regulating emotional valence. Studies have frequently reported reduced amygdala volumes in children and adolescents with bipolar disorder (BD). Brain derived neurotrophic factor (BDNF) and nerve growth factor (NGF) play critical roles in growth, differentiation, maintenance, and synaptic plasticity of neuronal systems in adolescent brain development. The aim of the present study was to assess amygdala volumesand its correlation with serum levels of NGF and BDNF in euthymic adolescents with BD and healthy controls. METHODS Using structural MRI, we compared the amygdala volumes of 30 euthymic subjects with BD with 23 healthy control subjects aged between 13 and 19 years during a naturalistic clinical follow-up. The boundaries of the amygdala were outlined manually. Serum BDNF and NGF levels were measured using sandwich-ELISA and compared between the study groups. RESULTS The right or left amygdala volume did not differ between the study groups.The right and left amygdala volumes were highly correlated with levels of BDNF in the combined BD group and the valproate-treated group.Both R and L amygdala volumes were correlated with BDNF levels in healthy controls. The left amygdala volumes were correlated with BDNF levels in the lithium-treated group. LIMITATIONS This cross-sectional study cannot inform longitudinal changes in brain structure. Further studies with larger sample sizes are needed to improve reliability. CONCLUSIONS The correlations between amygdala volumes and BDNF levels might be an early neuromarker for diagnosis and/or treatment response in adolescents with BD.
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Affiliation(s)
- F Neslihan Inal-Emiroglu
- Dokuz Eylul University Medical School, Child and Adolescent Psychiatry Department, Izmir, Turkey.
| | - Nuri Karabay
- Dokuz Eylul University Medical School, Radiology Department, Izmir, Turkey
| | - Halil Resmi
- Dokuz Eylul University Medical School, Medical Biochemistry Department, Izmir, Turkey
| | - Handan Guleryuz
- Dokuz Eylul University Medical School, Radiology Department, Izmir, Turkey
| | - Burak Baykara
- Dokuz Eylul University Medical School, Child and Adolescent Psychiatry Department, Izmir, Turkey
| | | | | | - Aynur Akay
- Dokuz Eylul University Medical School, Child and Adolescent Psychiatry Department, Izmir, Turkey
| | - Samet Kose
- University of Texas Medical School at Houston, Department of Psychiatry and Behavioral Sciences and Center for Neurobehavioral Research on Addiction (CNRA), Houston, TX, United States
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Hartberg CB, Jørgensen KN, Haukvik UK, Westlye LT, Melle I, Andreassen OA, Agartz I. Lithium treatment and hippocampal subfields and amygdala volumes in bipolar disorder. Bipolar Disord 2015; 17:496-506. [PMID: 25809287 DOI: 10.1111/bdi.12295] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2014] [Accepted: 11/25/2014] [Indexed: 01/22/2023]
Abstract
OBJECTIVES Results from magnetic resonance imaging (MRI) studies are heterogeneous with regard to hippocampal and amygdala volume alterations in bipolar disorder (BD). Lithium treatment may influence both structures. It is unknown if lithium treatment has distinct effects on hippocampal subfield volumes and if subfield volumes change over the course of illness in BD. METHODS MRI scans were obtained for 34 lithium-treated patients with BD (Li+), 147 patients with BD who were not treated with lithium (Non-Li), and 300 healthy controls. Hippocampal total and subfield volumes and amygdala volumes were automatically estimated using Freesurfer. General linear models were used to investigate volume differences between groups and the effects of illness course and lithium treatment. RESULTS The Non-Li BD group displayed significantly smaller bilateral cornu ammonis (CA) 2/3 and CA4/dentate gyrus (DG) subfields, total hippocampal volumes, right CA1 and right subiculum subfields, and left amygdala volume compared to healthy controls. There were no differences between the Li+ BD and either the Non-Li BD or the healthy control groups. In patients with numerous affective episodes, Non-Li BD patients had smaller left CA1 and CA2/3 volumes compared to Li+ BD patients and healthy controls. There were positive associations between lithium treatment duration and left amygdala volume. CONCLUSIONS Hippocampal subfield and amygdala volumes were reduced in Non-Li BD patients compared to healthy controls, whereas the Li+ BD volumes were no different from those in Non-Li BD patients or healthy controls. Over the course of BD, lithium treatment might counteract reductions specifically in the left CA1 and CA2/3 hippocampal subfields and amygdala volumes, in accordance with the suggested neuroprotective effects of lithium.
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Affiliation(s)
- Cecilie Bhandari Hartberg
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway.,NORMENT/K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Kjetil Nordbø Jørgensen
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway.,NORMENT/K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Unn Kristin Haukvik
- NORMENT/K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Lars Tjelta Westlye
- NORMENT/K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway.,Department of Psychology, University of Oslo, Oslo, Norway
| | - Ingrid Melle
- NORMENT/K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Ole Andreas Andreassen
- NORMENT/K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Ingrid Agartz
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway.,NORMENT/K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway
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Abstract
The Kraepelinian dichotomy between schizophrenia (SZ) and bipolar disorder (BD) is being challenged by recent epidemiological and biological studies. We performed a comparative review of neuroimaging features in both conditions at several scales: whole-brain and regional volumes, brain activity, connectivity, and networks. Structural volumetric neuroimaging studies suggest a common pattern of volume decreases, but networks studies reveal a clearer distinction between BD and SZ with an altered connectivity generalized to all brain networks in SZ and restricted to limbic, paralimbic, and interhemispheric networks in BD.
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Influence of DGKH variants on amygdala volume in patients with bipolar affective disorder and schizophrenia. Eur Arch Psychiatry Clin Neurosci 2015; 265:127-36. [PMID: 24958494 DOI: 10.1007/s00406-014-0513-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2014] [Accepted: 06/03/2014] [Indexed: 12/14/2022]
Abstract
The diacylglycerol kinase eta (DGKH) gene, first identified in a genome-wide association study, is one of the few replicated risk genes of bipolar affective disorder (BD). Following initial positive studies, it not only was found to be associated with BD but also implicated in the etiology of other psychiatric disorders featuring affective symptoms, rendering DGKH a cross-disorder risk gene. However, the (patho-)physiological role of the encoded enzyme is still elusive. In the present study, we investigated primarily the influence of a risk haplotype on amygdala volume in patients suffering from schizophrenia or BD as well as healthy controls and four single nucleotide polymorphisms conveying risk. There was a significant association of the DGKH risk haplotype with increased amygdala volume in BD, but not in schizophrenia or healthy controls. These findings add to the notion of a role of DGKH in the pathogenesis of BD.
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Hajek T, Calkin C, Blagdon R, Slaney C, Alda M. Type 2 diabetes mellitus: a potentially modifiable risk factor for neurochemical brain changes in bipolar disorders. Biol Psychiatry 2015; 77:295-303. [PMID: 24331546 DOI: 10.1016/j.biopsych.2013.11.007] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2013] [Revised: 11/08/2013] [Accepted: 11/08/2013] [Indexed: 11/16/2022]
Abstract
BACKGROUND Neuroimaging changes in bipolar disorder (BD) may be secondary to the presence of certain clinical factors. Type 2 diabetes mellitus (T2DM) damages the brain and frequently co-occurs with BD. Studying patients with both T2DM and BD could help identify preventable risk factors for neuroimaging changes in BD. METHODS We used 1.5T magnetic resonance spectroscopy to measure prefrontal N-acetylaspartate (NAA), which is mainly localized in neurons, and total creatine (tCr), an energy metabolite, in 19 BD patients with insulin resistance/glucose intolerance (BD + IR/GI), 14 BD subjects with T2DM (BD + T2DM), 15 euglycemic BD participants, and 11 euglycemic, nonpsychiatric control. RESULTS The levels of NAA and tCr were lowest among BD + T2DM, intermediate in the BD + IR/GI, and highest among the euglycemic BD and control subjects (F₃,₅₅ = 4.57, p = .006; F₃,₅₅ = 2.92, p = .04, respectively). Even the BD + IR/GI subjects had lower NAA than the euglycemic participants (t₄₃ = 2.13, p = .04). Total Cr was associated with NAA (β = .52, t₅₆ = 5.57, p = .000001). Both NAA and tCr correlated with Global Assessment of Functioning scores (r₄₆ = .28, p = .05; r₄₆ = .48, p = .0004, respectively). CONCLUSIONS T2DM, but also prediabetes, may be risk factors for prefrontal neurochemical alterations in BD. These changes were associated with poor psychosocial functioning and could indicate impaired energy metabolism. The findings emphasize the importance of improving diabetes care in BD and suggest potential options for treatment of neuroimaging alterations.
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Affiliation(s)
- Tomas Hajek
- Department of Psychiatry (TH, CC, RB, CS, MA), Dalhousie University, Halifax, Nova Scotia, Canada; Prague Psychiatric Center (TH, MA), Department of Psychiatry and Medical Psychology, 3rd School of Medicine, Charles University, Prague, Czech Republic.
| | - Cynthia Calkin
- Department of Psychiatry (TH, CC, RB, CS, MA), Dalhousie University, Halifax, Nova Scotia, Canada
| | - Ryan Blagdon
- Department of Psychiatry (TH, CC, RB, CS, MA), Dalhousie University, Halifax, Nova Scotia, Canada
| | - Claire Slaney
- Department of Psychiatry (TH, CC, RB, CS, MA), Dalhousie University, Halifax, Nova Scotia, Canada
| | - Martin Alda
- Department of Psychiatry (TH, CC, RB, CS, MA), Dalhousie University, Halifax, Nova Scotia, Canada; Prague Psychiatric Center (TH, MA), Department of Psychiatry and Medical Psychology, 3rd School of Medicine, Charles University, Prague, Czech Republic
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45
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All the world's a (clinical) stage: rethinking bipolar disorder from a longitudinal perspective. Mol Psychiatry 2015; 20:23-31. [PMID: 25048003 PMCID: PMC4303542 DOI: 10.1038/mp.2014.71] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2014] [Revised: 05/13/2014] [Accepted: 06/06/2014] [Indexed: 12/11/2022]
Abstract
Psychiatric disorders have traditionally been classified using a static, categorical approach. However, this approach falls short in facilitating understanding of the development, common comorbid diagnoses, prognosis and treatment of these disorders. We propose a 'staging' model of bipolar disorder that integrates genetic and neural information with mood and activity symptoms to describe how the disease progresses over time. From an early, asymptomatic, but 'at-risk' stage to severe, chronic illness, each stage is described with associated neuroimaging findings as well as strategies for mapping genetic risk factors. Integrating more biologic information relating to cardiovascular and endocrine systems, refining methodology for modeling dimensional approaches to disease and developing outcome measures will all be crucial in examining the validity of this model. Ultimately, this approach should aid in developing targeted interventions for each group that will reduce the significant morbidity and mortality associated with bipolar disorder.
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Kong F, Hu S, Wang X, Song Y, Liu J. Neural correlates of the happy life: The amplitude of spontaneous low frequency fluctuations predicts subjective well-being. Neuroimage 2015; 107:136-145. [PMID: 25463465 DOI: 10.1016/j.neuroimage.2014.11.033] [Citation(s) in RCA: 90] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2013] [Revised: 09/17/2014] [Accepted: 11/14/2014] [Indexed: 10/24/2022] Open
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Wegbreit E, Cushman GK, Puzia ME, Weissman AB, Kim KL, Laird AR, Dickstein DP. Developmental meta-analyses of the functional neural correlates of bipolar disorder. JAMA Psychiatry 2014; 71:926-35. [PMID: 25100166 PMCID: PMC4545589 DOI: 10.1001/jamapsychiatry.2014.660] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
IMPORTANCE Bipolar disorder (BD) is a debilitating mental illness associated with high costs to diagnosed individuals and society. Within the past 2 decades, increasing numbers of children and adolescents have been diagnosed as having BD. While functional magnetic resonance imaging (fMRI) studies have begun to investigate the neural mechanisms underlying BD, few have directly compared differences in youths with BD and adults with BD (hereafter BD-youths and BD-adults, respectively). OBJECTIVE To test the hypothesis that BD-youths (<18 years old) would show greater convergence of amygdala hyperactivation and prefrontal cortical hypoactivation vs BD-adults. DATA SOURCES PubMed and PsycINFO databases were searched on July 17, 2013, for original, task-related coordinate-based fMRI articles. STUDY SELECTION In total, 21 pediatric studies, 73 adult studies, and 2 studies containing distinct pediatric and adult groups within the same study met inclusion criteria for our ALE analyses. DATA EXTRACTION AND SYNTHESIS Coordinates of significant between-group differences were extracted from each published study. Recent improvements in GingerALE software were used to perform direct comparisons of pediatric and adult fMRI findings. We conducted activation likelihood estimation (ALE) meta-analyses directly comparing the voxelwise convergence of fMRI findings in BD-youths vs BD-adults, both relative to healthy control (HC) participants. RESULTS Analyses of emotional face recognition fMRI studies showed significantly greater convergence of amygdala hyperactivation among BD-youths than BD-adults. More broadly, analyses of fMRI studies using emotional stimuli showed significantly greater convergence of hyperactivation among BD-youths than BD-adults in the inferior frontal gyrus and precuneus. In contrast, analyses of fMRI studies using nonemotional cognitive tasks and analyses aggregating emotional and nonemotional tasks showed significantly greater convergence of hypoactivation among BD-youths than BD-adults in the anterior cingulate cortex. CONCLUSIONS AND RELEVANCE Our data suggest that amygdala, prefrontal, and visual system hyperactivation is important in the emotional dysfunction present in BD-youths, as well as that anterior cingulate cortex hypoactivation is relevant to the cognitive deficits in BD-youths. Future studies are required to determine if the developmental fMRI differences between BD-youths and BD-adults identified by our ALE meta-analyses are useful as brain-based diagnostic or treatment markers of BD, including either longitudinal neuroimaging studies of BD-youths as they become adults or cross-sectional imaging studies directly comparing BD-youths with BD-adults.
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Affiliation(s)
- Ezra Wegbreit
- Pediatric Mood, Imaging, and Neurodevelopment Program, Department of Psychiatry and Human Behavior, Brown University Alpert Medical School and Bradley Hospital, East Providence, RI, USA
| | - Grace K. Cushman
- Pediatric Mood, Imaging, and Neurodevelopment Program, Department of Psychiatry and Human Behavior, Brown University Alpert Medical School and Bradley Hospital, East Providence, RI, USA
| | - Megan E. Puzia
- Pediatric Mood, Imaging, and Neurodevelopment Program, Department of Psychiatry and Human Behavior, Brown University Alpert Medical School and Bradley Hospital, East Providence, RI, USA
| | - Alexandra B. Weissman
- Pediatric Mood, Imaging, and Neurodevelopment Program, Department of Psychiatry and Human Behavior, Brown University Alpert Medical School and Bradley Hospital, East Providence, RI, USA
| | - Kerri L. Kim
- Pediatric Mood, Imaging, and Neurodevelopment Program, Department of Psychiatry and Human Behavior, Brown University Alpert Medical School and Bradley Hospital, East Providence, RI, USA
| | - Angela R. Laird
- Department of Physics, Florida International University, Miami, FL, USA
| | - Daniel P. Dickstein
- Pediatric Mood, Imaging, and Neurodevelopment Program, Department of Psychiatry and Human Behavior, Brown University Alpert Medical School and Bradley Hospital, East Providence, RI, USA
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48
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Delgado VB, Chaves ML. Mood congruence phenomenon in acutely symptomatic mania bipolar I disorder patients with and without psychotic symptoms. Cogn Neuropsychiatry 2014. [PMID: 23189939 DOI: 10.1080/13546805.2012.744303] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
INTRODUCTION Bipolar disorder causes substantial morbidity including cognitive impairment. The objective of the study was to evaluate memory performance of acutely mania bipolar I disorder (BD-I) patients with and without psychosis. We also aimed to assess the mood congruence phenomenon upon memory. METHODS A cross-sectional study was developed with BD-I patients (19 with, and 12 without psychotic symptoms), and 27 age- and education-paired healthy controls. Memory tests were selected to evaluate memory/attention performance. A verbal episodic memory task with affective content (word span) was also applied. RESULTS A significant difference was observed in the scores of the word span task with positive tone among the three groups, controlling for number of mania episodes (p=.042). Nonpsychotic BD patients presented higher scores. There was a statistical tendency for BD-I patients with and without psychotic symptoms to perform poorer than healthy controls in the delayed recall of the logical memory test (p=.069). CONCLUSION Psychotic and nonpsychotic mania BD-I patients showed mood congruence phenomenon in a verbal memory task with positive tone in relation to the healthy group. Evidence of mood congruence was found in the nonpsychotic group suggesting a purer manifestation of the disease.
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Affiliation(s)
- Vera B Delgado
- a Biochemistry Post-Graduate Program, Department of Biochemistry , Universidade Federal do Rio Grande do Sul , Porto Alegre , Brazil
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Hajek T, Kopecek M, Alda M, Uher R, Höschl C. Why negative meta-analyses may be false? Eur Neuropsychopharmacol 2013; 23:1307-9. [PMID: 23402721 DOI: 10.1016/j.euroneuro.2013.01.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2012] [Revised: 01/15/2013] [Accepted: 01/18/2013] [Indexed: 10/27/2022]
Abstract
Results of meta-analyses are regarded as the highest level of evidence. A statistically non-significant effect size from a meta-analysis is typically considered true negative even in the presence of a statistically significant signal in individual studies, presumed to be false positive. Here we provide examples from neuroimaging, genetics and psychopharmacology of why meta-analyses may frequently yield false negative results from true positive findings. This may happen in situations when individual studies report findings in opposing directions, the sum of which yields a non-significant overall effect size. Such non-significant meta-analyses, which show statistical heterogeneity and include studies with opposing effect sizes do not provide an accurate estimate of the overall effect and may have lower heuristic value than individual studies. Over reliance on such meta-analyses may falsely identify certain potentially fruitful research avenues as blind alleys.
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Affiliation(s)
- Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada; Prague Psychiatric Center, Department of Psychiatry and Medical Psychology, 3(rd) Faculty of Medicine, Charles University, Prague, Czech Republic.
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Qiu A, Gan SC, Wang Y, Sim K. Amygdala-hippocampal shape and cortical thickness abnormalities in first-episode schizophrenia and mania. Psychol Med 2013; 43:1353-1363. [PMID: 23186886 DOI: 10.1017/s0033291712002218] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Abnormalities in cortical thickness and subcortical structures have been studied in schizophrenia but little is known about corresponding changes in mania and brain structural differences between these two psychiatric conditions, especially early in the stage of the illness. In this study we aimed to compare cortical thickness and shape of the amygdala-hippocampal complex in first-episode schizophrenia (FES) and mania (FEM). Method Structural magnetic resonance imaging (MRI) was performed on 28 FES patients, 28 FEM patients and 28 healthy control subjects who were matched for age, gender and handedness. RESULTS Overall, the shape of the amygdala was deformed in both patient groups, relative to controls. Compared to FEM patients, FES patients had significant inward shape deformation in the left hippocampal tail, right hippocampal body and a small region in the right amygdala. Cortical thinning was more widespread in FES patients, with significant differences found in the temporal brain regions when compared with FEM and controls. CONCLUSIONS Significant differences were observed between the two groups of patients with FES and FEM in terms of the hippocampal shape and cortical thickness in the temporal region, highlighting that distinguishable brain structural changes are present early in the course of schizophrenia and mania.
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Affiliation(s)
- A Qiu
- Department of Bioengineering, National University of Singapore, Singapore.
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