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Neural correlates of emotion processing predict resilience in youth at familial risk for mood disorders. Dev Psychopathol 2019; 31:1037-1052. [PMID: 31064610 DOI: 10.1017/s0954579419000579] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Aberrant face emotion processing has been demonstrated in youth with and at a familial risk for bipolar and major depressive disorders. However, the neurobiological factors related to emotion processing that underlie resilience from youth-onset mood disorders are not well understood. Functional magnetic resonance imaging data during an implicit emotion processing task were collected at baseline from a sample of 50 youth, ages 8-17, who were healthy but also familially at high risk for either bipolar disorder or major depressive disorder, and 24 healthy controls with no family history of psychopathology (HCL). Participants were reevaluated 3 years later and classified into three groups for analysis: high-risk youth who converted to a psychiatric diagnosis (CVT; N = 23), high-risk youth who were resilient from developing any psychopathology (RES; N = 27), and HCL youth (N = 24) who remained healthy at follow-up. For happy > calm faces, the CVT and RES groups had significantly lower activation in the left inferior parietal lobe (IPL), while the RES group had lower activation in the right supramarginal gyrus. For fear > calm faces, the RES group had lower activation in the right precuneus and inferior frontal gyrus (IFG) compared to the CVT group. Connectivity analyses revealed the RES group exhibited higher left IPL connectivity with visual cortical regions for happy > calm faces, and higher IFG connectivity with frontal, temporal, and limbic regions for fear > calm faces. These connectivities were correlated with improvements in prosocial behaviors and global functioning. Our findings suggest that differential activation and connectivity in the IPL, IFG, and precuneus in response to emotional stimuli may represent distinct resilience and risk markers for youth-onset mood disorders.
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202
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Rootes-Murdy K, Glazer K, Mondimore FM, Goes FS, Zandi PP, Bakker A, DePaulo JR, Mahon PB. A pilot fMRI study of lithium response in bipolar disorder. Psychiatry Res Neuroimaging 2019; 286:1-3. [PMID: 30822677 PMCID: PMC6749831 DOI: 10.1016/j.pscychresns.2019.02.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Revised: 02/20/2019] [Accepted: 02/20/2019] [Indexed: 01/03/2023]
Affiliation(s)
- Kelly Rootes-Murdy
- Department of Psychology, Georgia State University, 140 Decatur Street, Atlanta, GA 30303, USA.
| | - Kara Glazer
- Department of Psychiatry & Behavioral Science, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Francis M Mondimore
- Johns Hopkins Bayview Medical Center, Community Psychiatry Program, Baltimore, MD, USA
| | - Fernando S Goes
- Department of Psychiatry & Behavioral Science, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Peter P Zandi
- Department of Psychiatry & Behavioral Science, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Arnold Bakker
- Department of Psychiatry & Behavioral Science, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - J Raymond DePaulo
- Department of Psychiatry & Behavioral Science, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Pamela B Mahon
- Department of Psychiatry & Behavioral Science, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Psychiatry, Brigham & Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
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203
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Kim YK, Amidfar M, Won E. A review on inflammatory cytokine-induced alterations of the brain as potential neural biomarkers in post-traumatic stress disorder. Prog Neuropsychopharmacol Biol Psychiatry 2019; 91:103-112. [PMID: 29932946 DOI: 10.1016/j.pnpbp.2018.06.008] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 06/17/2018] [Accepted: 06/18/2018] [Indexed: 12/25/2022]
Abstract
The heterogeneity of post-traumatic stress disorder (PTSD) symptoms indicates that multiple neurobiological mechanisms underlie the pathophysiology of the condition. However, no generally accepted PTSD biomarkers in clinical practice currently exist. The sequential responses to recurrent and chronic stress by the hypothalamic-pituitary-adrenal (HPA) axis and the autonomic nervous system (ANS) system are considered to play a significant role in the onset and progression of PTSD. Decreased activity of the HPA axis and parasympathetic nervous system, along with increased activity of the sympathetic nervous system, have been observed in PTSD, which may lead to increased levels of proinflammatory cytokines. Such heightened activity of the immune system may cause alterations in the structure and function of brain regions-for example, the amygdala, hippocampus, medial prefrontal cortex, anterior cingulate cortex, and insula-through changes in levels of serotonin and kynurenine pathway metabolites, and direct neurotoxic effects of cytokines. Although chronic inflammation-induced alterations in brain regions critical in controlling emotional behavior and fear regulation may represent a strong candidate biomarker of PTSD, future studies are necessary to further elucidate inflammation-associated neural biomarkers of PTSD. Continued research on therapeutic methods that involve the normalization of the HPA axis, ANS, and immune system is expected to contribute to the development of novel ways to treat PTSD.
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Affiliation(s)
- Yong-Ku Kim
- Department of Psychiatry, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Meysam Amidfar
- Department of Neuroscience, Fasa University of Medical Sciences, Fasa, Iran
| | - Eunsoo Won
- Department of Psychiatry, College of Medicine, Korea University, Seoul, Republic of Korea.
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204
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The neural markers of MRI to differentiate depression and panic disorder. Prog Neuropsychopharmacol Biol Psychiatry 2019; 91:72-78. [PMID: 29705713 DOI: 10.1016/j.pnpbp.2018.04.013] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Revised: 04/05/2018] [Accepted: 04/23/2018] [Indexed: 12/23/2022]
Abstract
Depression and panic disorder (PD) share the common pathophysiology from the perspectives of neurotransmitters. The relatively high comorbidity between depression and PD contributes to the substantial obstacles to differentiate from depression and PD, especially for the brain pathophysiology. There are significant differences in the diagnostic criteria between depression and PD. However, the paradox of similar pathophysiology and different diagnostic criteria in these two disorders were still the issues needing to be addressed. Therefore the clarification of potential difference in the field of neuroscience and pathophysiology between depression and PD can help the clinicians and scientists to understand more comprehensively about significant differences between depression and PD. The researchers should be curious about the underlying difference of pathophysiology beneath the significant distinction of clinical symptoms. In this review article, I tried to find some evidences for the differences between depression and PD, especially for neural markers revealed by magnetic resonance imaging (MRI). The distinctions of structural and functional alterations in depression and PD are reviewed. From the structural perspectives, PD seems to have less severe gray matter alterations in frontal and temporal lobes than depression. The study of white matter microintegrity reveals more widespread alterations in fronto-limbic circuit of depression patients than PD patients, such as the uncinate fasciculus and anterior thalamic radiation. PD might have a more restrictive pattern of structural alterations when compared to depression. For the functional perspectives, the core site of depression pathophysiology is the anterior subnetwork of resting-state network, such as anterior cingulate cortex, which is not significantly altered in PD. A possibly emerging pattern of fronto-limbic distinction between depression and PD has been revealed by these explorative reports. The future trend for machine learning and pattern recognition might confirm the differentiation pattern between depression and PD based on the explorative results.
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205
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Differentiating between bipolar and unipolar depression in functional and structural MRI studies. Prog Neuropsychopharmacol Biol Psychiatry 2019; 91:20-27. [PMID: 29601896 DOI: 10.1016/j.pnpbp.2018.03.022] [Citation(s) in RCA: 125] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Revised: 03/25/2018] [Accepted: 03/25/2018] [Indexed: 01/10/2023]
Abstract
Distinguishing depression in bipolar disorder (BD) from unipolar depression (UD) solely based on clinical clues is difficult, which has led to the exploration of promising neural markers in neuroimaging measures for discriminating between BD depression and UD. In this article, we review structural and functional magnetic resonance imaging (MRI) studies that directly compare UD and BD depression based on neuroimaging modalities including functional MRI studies on regional brain activation or functional connectivity, structural MRI on gray or white matter morphology, and pattern classification analyses using a machine learning approach. Numerous studies have reported distinct functional and structural alterations in emotion- or reward-processing neural circuits between BD depression and UD. Different activation patterns in neural networks including the amygdala, anterior cingulate cortex (ACC), prefrontal cortex (PFC), and striatum during emotion-, reward-, or cognition-related tasks have been reported between BD and UD. A stronger functional connectivity pattern in BD was pronounced in default mode and in frontoparietal networks and brain regions including the PFC, ACC, parietal and temporal regions, and thalamus compared to UD. Gray matter volume differences in the ACC, hippocampus, amygdala, and dorsolateral prefrontal cortex (DLPFC) have been reported between BD and UD, along with a thinner DLPFC in BD compared to UD. BD showed reduced integrity in the anterior part of the corpus callosum and posterior cingulum compared to UD. Several studies performed pattern classification analysis using structural and functional MRI data to distinguish between UD and BD depression using a supervised machine learning approach, which yielded a moderate level of accuracy in classification.
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206
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Phillips ML. Neural Markers That Distinguish Bipolar Disorder From Major Depressive Disorder: Moving Closer to a Reality. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2019; 4:328-330. [PMID: 30961832 DOI: 10.1016/j.bpsc.2019.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 01/25/2019] [Indexed: 10/27/2022]
Affiliation(s)
- Mary L Phillips
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania.
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207
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Lu X, Zhong Y, Ma Z, Wu Y, Fox PT, Zhang N, Wang C. Structural imaging biomarkers for bipolar disorder: Meta-analyses of whole-brain voxel-based morphometry studies. Depress Anxiety 2019; 36:353-364. [PMID: 30475436 DOI: 10.1002/da.22866] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Revised: 10/20/2018] [Accepted: 11/06/2018] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Bipolar disorder (BD) is a common and destructive psychiatric illness worldwide. Although it is known that BD is associated with morphological abnormalities of the brain, the regions implicated in BD remain unclear. Therefore, we aimed to update current knowledge on potential structural imaging biomarkers of BD. METHODS Studies published up to January 31, 2018, were identified by a comprehensive literature search of PubMed, EBSCO, and BrainMap voxel-based morphometry (VBM) database. Whole-brain VBM studies that examined gray matter (GM) abnormalities of group comparisons between BD and healthy controls (HC) and reported results as coordinates in a standard reference space were included. Different meta-analyses were performed by activation likelihood estimation (ALE) algorithm. RESULTS A total of 46 studies with 56 experiments, including 1720 subjects and 268 foci were included. Seven different meta-analyses were calculated separately across experiments reporting decreased or increased GM volume among BD, BDΙ, BD-adults, and BD-youths groups. Fifteen regions of significantly different GM volume between four groups and HC were identified. There were extensive GM deficits in the prefrontal and temporal cortex, and enlargements in the putamen, cingulate cortex, and precuneus. CONCLUSIONS The results revealed that the thinning of prefrontal cortex was a key region in the pathophysiology of BD. The enlargement of the cingulate cortex may be implicated in a compensatory mechanism. It underscored important differences between BD-adults and BD-youths and specific biomarkers of three subgroups.
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Affiliation(s)
- Xin Lu
- School of Psychology, Nanjing Normal University, Nanjing, Jiangsu, China.,Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China.,Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yuan Zhong
- School of Psychology, Nanjing Normal University, Nanjing, Jiangsu, China.,Jiangsu Key Laboratory of Mental Health and Cognitive Science, Nanjing Normal University, Nanjing, Jiangsu, China
| | - Zijuan Ma
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China.,Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yun Wu
- School of Psychology, Nanjing Normal University, Nanjing, Jiangsu, China.,Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China.,Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Peter T Fox
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China.,South Texas Veterans Healthcare System, University of Texas Health San Antonio, San Antonio, United States.,Research Imaging Institute, University of Texas Health San Antonio, San Antonio, United States
| | - Ning Zhang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China.,Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Chun Wang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China.,Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China
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208
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Thomas SA, Christensen RE, Schettini E, Saletin JM, Ruggieri AL, MacPherson HA, Kim KL, Dickstein DP. Preliminary analysis of resting state functional connectivity in young adults with subtypes of bipolar disorder. J Affect Disord 2019; 246:716-726. [PMID: 30616161 PMCID: PMC8805680 DOI: 10.1016/j.jad.2018.12.068] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Revised: 11/25/2018] [Accepted: 12/23/2018] [Indexed: 12/16/2022]
Abstract
BACKGROUND A precision medicine approach to bipolar disorder (BD) requires greater knowledge of neural mechanisms, especially within the BD phenotype. The present study evaluated differences in resting state functional connectivity (RSFC) between young adults followed longitudinally since childhood with full-threshold type I BD (BD-I)-characterized by distinct manic episodes-or a more sub-syndromal presentation of BD (BD Not Otherwise Specified [BD-NOS]), compared to one another and to healthy controls (HC). Independent Components Analysis (ICA), a multivariate data-driven method, and dual regression were used to explore whether connectivity within resting state networks (RSNs) differentiated the groups, especially for characteristic fronto-limbic alterations in BD. METHODS Young adults (ages 18-30) with BD-I (n = 28), BD-NOS (n = 14), and HCs (n = 52) underwent structural and RSFC neuroimaging. ICA derived 30 components from RSFC data; a subset of these components, representing well-characterized RSNs, was used for between-group analyses. RESULTS Participants with BD-I had significantly greater connectivity strength between the executive control network and right caudate vs. HCs. Participants with BD-NOS had significantly greater connectivity strength between the sensorimotor network and left precentral gyrus vs. HCs, which was significantly related to psychiatric symptoms. LIMITATIONS Limitations included small BD-NOS sample size and variation in BD mood state and medication status. CONCLUSIONS Results for BD-I participants support prior findings of fronto-limbic alterations characterizing BD. Alterations in the sensorimotor network for adults with BD-NOS aligns with the small but growing body of evidence that sensorimotor network alterations may represent a marker for vulnerability to BD. Further study is required to evaluate specificity.
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Affiliation(s)
- Sarah A. Thomas
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND)
Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA,Division of Child Psychiatry, Department of Psychiatry and
Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI,
USA,Corresponding Author: Sarah A. Thomas, Bradley
Hospital PediMIND Program, 1011 Veterans Memorial Parkway, East Providence, RI
02915, Phone: (401) 432-1618, Fax: (401) 432-1607,
| | - Rachel E. Christensen
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND)
Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA
| | - Elana Schettini
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND)
Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA
| | - Jared M. Saletin
- Division of Child Psychiatry, Department of Psychiatry and
Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI,
USA,Emma Pendleton Bradley Hospital Sleep Research Laboratory,
Providence, RI, USA
| | - Amanda L. Ruggieri
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND)
Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA
| | - Heather A. MacPherson
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND)
Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA,Division of Child Psychiatry, Department of Psychiatry and
Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI,
USA
| | - Kerri L. Kim
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND)
Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA,Division of Child Psychiatry, Department of Psychiatry and
Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI,
USA
| | - Daniel P. Dickstein
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND)
Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA,Division of Child Psychiatry, Department of Psychiatry and
Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI,
USA
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209
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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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210
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Wang X, Luo Q, Tian F, Cheng B, Qiu L, Wang S, He M, Wang H, Duan M, Jia Z. Brain grey-matter volume alteration in adult patients with bipolar disorder under different conditions: a voxel-based meta-analysis. J Psychiatry Neurosci 2019; 44:89-101. [PMID: 30354038 PMCID: PMC6397036 DOI: 10.1503/jpn.180002] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The literature on grey-matter volume alterations in bipolar disorder is heterogeneous in its findings. METHODS Using effect-size differential mapping, we conducted a meta-analysis of grey-matter volume alterations in patients with bipolar disorder compared with healthy controls. RESULTS We analyzed data from 50 studies that included 1843 patients with bipolar disorder and 2289 controls. Findings revealed lower grey-matter volumes in the bilateral superior frontal gyri, left anterior cingulate cortex and right insula in patients with bipolar disorder and in patients with bipolar disorder type I. Patients with bipolar disorder in the euthymic and depressive phases had spatially distinct regions of altered grey-matter volume. Meta-regression revealed that the proportion of female patients with bipolar disorder or bipolar disorder type I was negatively correlated with regional grey-matter alteration in the right insula; the proportion of patients with bipolar disorder or bipolar disorder type I taking lithium was positively correlated with regional grey-matter alterations in the left anterior cingulate/paracingulate gyri; and the proportion of patients taking antipsychotic medications was negatively correlated with alterations in the anterior cingulate/paracingulate gyri. LIMITATIONS This study was cross-sectional; analysis techniques, patient characteristics and clinical variables in the included studies were heterogeneous. CONCLUSION Structural grey-matter abnormalities in patients with bipolar disorder and bipolar disorder type I were mainly in the prefrontal cortex and insula. Patients' mood state might affect grey-matter alterations. Abnormalities in regional grey-matter volume could be correlated with patients' specific demographic and clinical features.
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Affiliation(s)
- Xiuli Wang
- From the Department of Psychiatry, the Fourth People’s Hospital of Chengdu, Chengdu, China (Duan, He, H. Wang, S. Wang, X. Wang); the Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China (Luo, Jia); the Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China (Tian, Jia); the Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu, China (Cheng); and the Department of Radiology, the Second People’s Hospital of Yibin, Yibin, China (Qiu)
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211
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Man V, Gruber J, Glahn DC, Cunningham WA. Altered amygdala circuits underlying valence processing among manic and depressed phases in bipolar adults. J Affect Disord 2019; 245:394-402. [PMID: 30423467 PMCID: PMC6351166 DOI: 10.1016/j.jad.2018.11.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Revised: 10/08/2018] [Accepted: 11/02/2018] [Indexed: 11/29/2022]
Abstract
BACKGROUND Disruptions in affective processing characterize mood disorders, yet the neural mechanisms underlying internal state dependency in affective processes are not well understood. The present work presents a pilot investigation into state dependency among neural circuits known to be involved in processing affective information, by examining acute manic and depressive mood phases in adults with bipolar disorder and major depressive disorder. METHODS The present study probed affective processes with a well-validated passive picture-viewing task amongst acutely manic (n = 8) or acutely depressed (bipolar depression: n = 11; major depression: n = 15) mood-disordered adults during functional magnetic resonance imaging . RESULTS Beta-series correlation analyses seeded from the amygdala revealed distinct neural circuits distinguished across current mood state rather than diagnostic boundaries. We delineated an amygdala-striatum pathway that distinguished depressed from manic mood phase, rather than between diagnostic boundaries, in processing valenced information. Specifically, we found differences in this neural response to negative, but not positive, images across clinical mood states. LIMITATIONS As a preliminary investigation of state-dependent affective processes, the current investigation is predominantly limited by the small sample size. While it provides direction and generates hypotheses for further work, future studies need to replicate and expand the reported effects with larger samples. CONCLUSIONS These findings demonstrate the conditions under which mood state-dependent affective processes cut cross traditional diagnostic boundaries, speaking to recent advances in transdiagnostic disease mechanisms, and can guide future work examining the neural mechanisms driving symptomatology in affective disorders.
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Affiliation(s)
- Vincent Man
- University of Toronto, Department of Psychology, 100 St. George Street, M5S 3G3 Toronto, Ontario, Canada.
| | - June Gruber
- University of Colorado Boulder, Department of Psychology and Neuroscience
| | - David C. Glahn
- Yale University School of Medicine, Department of Psychiatry,Institute of Living, Hartford Hospital, Olin Neuropsychiatric Research Center
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212
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Chakrabarty T, Yatham LN. Objective and biological markers in bipolar spectrum presentations. Expert Rev Neurother 2019; 19:195-209. [PMID: 30761925 DOI: 10.1080/14737175.2019.1580145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
INTRODUCTION Subthreshold presentations of bipolarity (BSPs) pose a diagnostic conundrum, in terms of whether they should be conceptualized and treated similarly as traditionally defined bipolar disorders (BD). While it has been argued that BSPs are on a pathophysiologic continuum with traditionally defined BDs, there has been limited examination of biological and objective markers in these presentations to validate this assertion. Areas covered: The authors review studies examining genetic, neurobiological, cognitive and peripheral markers in BSPs, encompassing clinical and non-clinical populations with subthreshold hypo/manic symptoms. Results are placed in the context of previously identified markers in traditionally defined BDs. Expert commentary: There have been few studies of objective and biological markers in subthreshold presentations of BD, and results are mixed. While abnormalities in brain structure/functioning, peripheral inflammatory, and cognitive markers have been reported, it is unclear whether these findings are specific to BD or indicative of broad affective pathology. However, some studies suggest that increased sensitivity to reward and positive stimuli are shared between subthreshold and traditionally defined BDs, and may represent a point of departure from unipolar major depression. Further examination of such markers may improve understanding of subthreshold bipolar presentations, and provide guidance in terms of therapeutic strategies.
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Affiliation(s)
- Trisha Chakrabarty
- a Department of Psychiatry , University of British Columbia , Vancouver , BC , Canada
| | - Lakshmi N Yatham
- a Department of Psychiatry , University of British Columbia , Vancouver , BC , Canada
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213
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Han KM, Kim A, Kang W, Kang Y, Kang J, Won E, Tae WS, Ham BJ. Hippocampal subfield volumes in major depressive disorder and bipolar disorder. Eur Psychiatry 2019; 57:70-77. [PMID: 30721801 DOI: 10.1016/j.eurpsy.2019.01.016] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2018] [Revised: 01/19/2019] [Accepted: 01/21/2019] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND The hippocampus is not a uniform structure, but rather consists of multiple, functionally specialized subfields. Few studies have explored hippocampal subfield volume difference in the same sample of major depressive disorder (MDD) and bipolar disorder (BD) cases. We aimed to investigate the difference of hippocampal subfield volume between patents with MDD and BD and healthy controls (HCs). METHODS A total of 102 MDD and 55 BD patients and 135 HCs were recruited and underwent T1-weighted image. Hippocampal subfield volume was calculated by automated segmentation and volumetric procedures developed by Iglesias et al. and implemented in FreeSurfer. Volume differences between the groups were analyzed using the analysis of covariance and controlling for age, sex, and total intracranial cavity volume. RESULTS Patients with MDD had significantly reduced volumes in the bilateral cornu ammonis 1 (CA1), CA4, the granule cell layer (GCL), molecular layer (ML), whole hippocampus, the left CA2/3, and right presubiclum and subiculum. Patients with BD had significantly reduced volumes in the right CA1, GCL, and the whole hippocampus as compared to HCs. No significant volume differences were observed between the MDD and BD groups. Illness duration was negatively correlated with volumes of the left CA1, CA4, ML, presubiculum, subiculum, and the whole hippocampus in patients with BD. CONCLUSION We observed hippocampal subfield volume reductions in both MDD and BD, a finding which more prominent in MDD. The inverse correlation between BD illness duration and hippocampal subfield volume may evidence the neuroprogressive nature of BD.
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Affiliation(s)
- Kyu-Man Han
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Aram Kim
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Wooyoung Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Youbin Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - June Kang
- Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea
| | - Eunsoo Won
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Woo-Suk Tae
- Brain Convergence Research Center, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Byung-Joo Ham
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea; Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea; Brain Convergence Research Center, Korea University Anam Hospital, Seoul, Republic of Korea.
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214
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Tsai SY, Gildengers AG, Hsu JL, Chung KH, Chen PH, Huang YJ. Inflammation associated with volume reduction in the gray matter and hippocampus of older patients with bipolar disorder. J Affect Disord 2019; 244:60-66. [PMID: 30317016 DOI: 10.1016/j.jad.2018.10.093] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Revised: 09/22/2018] [Accepted: 10/05/2018] [Indexed: 01/07/2023]
Abstract
BACKGROUND Bipolar disorder (BD) and aging appear to be associated with inflammatory activation. Inflammatory processes might affect hippocampal function, neurogenesis, and gray matter loss. This study investigated the relationship between BD-specific brain regions and the total gray matter volume, peripheral inflammatory markers, and clinical features in older patients with BD. METHODS We recruited euthymic patients with bipolar I disorder aged ≥50 years to undergo whole-brain magnetic resonance imaging. Each brain region was divided by an individual's total intracranial volume to obtain that brain region's volume in percentage relative to the total intracranial volume. We measured the plasma levels of soluble tumor necrosis factor receptor-1 (sTNF-R1), soluble interleukin (IL)-2 receptor (sIL-2R), sIL-6R, IL-1β, and IL-1 receptor antagonist when patients were euthymic. Clinical data were obtained by reviewing available medical records and interviewing patients along with their reliable others. RESULTS There were 32 patients with a mean age of 61.2 ± 8.3 years and a mean age at illness onset of 33.4 ± 13.8 years in this study. Stepwise regression showed that the right hippocampal volume was negatively associated with the levels of sIL-2R and sTNF-R1. The left hippocampal volume were negatively associated with the sIL-2R level and body mass index. The total gray matter volume had an inverse relationship with sTNF-R1 and IL-1β levels. The duration of bipolar illness, lithium treatment, and antipsychotic use were not associated with hippocampal and total gray matter volumes. CONCLUSIONS It is suggested that persistent inflammation is associated with reduction of hippocampal and gray matter volumes in older patients with BD. This phenomenon is supported by increases in sTNF-R1, sIL-2R, and IL-1β levels. Neuroinflammation due to aging, obesity, and BD pathophysiology may play a role in BD neuroprogression across the life span.
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Affiliation(s)
- Shang-Ying Tsai
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Psychiatry and Psychiatric Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan.
| | - Ariel G Gildengers
- Department of Psychiatry, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jung-Lung Hsu
- Department of Neurology, Chang Gung Memorial Hospital Linkou Medical Center and College of Medicine, Chang-Gung University, Taoyuan, Taiwan
| | - Kuo-Hsuan Chung
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Psychiatry and Psychiatric Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan
| | - Pao-Huan Chen
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Psychiatry and Psychiatric Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan
| | - Yu-Jui Huang
- Department of Psychiatry and Psychiatric Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan
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215
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Hafeman DM, Chase HW, Monk K, Bonar L, Hickey MB, McCaffrey A, Graur S, Manelis A, Ladouceur CD, Merranko J, Axelson DA, Goldstein BI, Goldstein TR, Birmaher B, Phillips ML. Intrinsic functional connectivity correlates of person-level risk for bipolar disorder in offspring of affected parents. Neuropsychopharmacology 2019; 44:629-634. [PMID: 30410014 PMCID: PMC6333834 DOI: 10.1038/s41386-018-0264-9] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 10/05/2018] [Accepted: 10/28/2018] [Indexed: 12/31/2022]
Abstract
Offspring of parents with bipolar disorder (OBP) are at increased risk to develop bipolar disorder (BD). Alterations in resting-state functional connectivity (rsFC) have been identified in OBP; however, replication has been limited and correlation with person-level risk is unknown. A recent study found reduced rsFC between left inferior frontal gyrus (IFG) and clusters in the left insula (LINS), lentiform nucleus (LENT), and midcingulate cortex (MCING) in OBP (Roberts et al. 2017); here, we aim to extend these findings to at-risk youth. We scanned a subset of the Pittsburgh Bipolar Offspring Study, a longitudinal study of OBP and community controls. Twenty-four OBP, 20 offspring of control parents with non-bipolar psychopathology (OCP), and 27 healthy controls (HC) had acceptable rsFC data. After preprocessing steps, we assessed group differences in seed-based rsFC between the IFG and target clusters (LINS, LENT, MCING) using multivariate regression. Next, we tested whether rsFC correlated with person-level risk score and with other dimensional measures. We did not find group differences in rsFC between IFG and target regions. Within OBP, risk score negatively correlated with IFG-LINS rsFC (p = 0.002). Across groups, mood lability correlated negatively with rsFC between IFG and target regions (p = 0.0002), due to negative correlation with IFG-LINS (p = 0.0003) and IFG-MCING (p = 0.001) rsFC. While group-level differences were not replicated, IFG-LINS rsFC was negatively correlated with a person-level risk score in OBP and with mood lability (a predictor of BD) across the sample. Thus, IFG-LINS rsFC might constitute a risk marker, within OBP, for the development of BD.
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Affiliation(s)
- Danella M. Hafeman
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - Henry W. Chase
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - Kelly Monk
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - Lisa Bonar
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - Mary Beth Hickey
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - Alicia McCaffrey
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - Simona Graur
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - Anna Manelis
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - Cecile D. Ladouceur
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - John Merranko
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - David A. Axelson
- 0000 0004 0392 3476grid.240344.5Nationwide Children’s Hospital and The Ohio State University, Columbus, OH USA
| | - Benjamin I. Goldstein
- 0000 0001 2157 2938grid.17063.33Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Tina R. Goldstein
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - Boris Birmaher
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - Mary L. Phillips
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
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Calvo A, Delvecchio G, Altamura AC, Soares JC, Brambilla P. Gray matter differences between affective and non-affective first episode psychosis: A review of Magnetic Resonance Imaging studies: Special Section on "Translational and Neuroscience Studies in Affective Disorders" Section Editor, Maria Nobile MD, PhD. This Section of JAD focuses on the relevance of translational and neuroscience studies in providing a better understanding of the neural basis of affective disorders. The main aim is to briefly summaries relevant research findings in clinical neuroscience with particular regards to specific innovative topics in mood and anxiety disorders. J Affect Disord 2019; 243:564-574. [PMID: 29625792 DOI: 10.1016/j.jad.2018.03.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Revised: 01/22/2018] [Accepted: 03/14/2018] [Indexed: 12/23/2022]
Abstract
BACKGROUND Non-affective and affective psychoses are very common mental disorders. However, their neurobiological underpinnings are still poorly understood. Therefore, the goal of the present review was to evaluate structural Magnetic Resonance Imaging (MRI) studies exploring brain deficits in both non-affective (NA-FEP) and affective first episode psychosis (A-FEP). METHODS A bibliographic search on PUBMED of all MRI studies exploring gray matter (GM) differences between NA-FEP and A-FEP was conducted. RESULTS Overall, the results from the available evidence showed that the two diagnostic groups share common GM alterations in fronto-temporal regions and anterior cingulate cortex. In contrast, unique GM deficits have also been observed, with reductions in amygdala for A-FEP and in hippocampus and insula for NA-FEP. LIMITATIONS Few small MRI studies with heterogeneous methodology. CONCLUSIONS Although the evidences are far to be conclusive, they suggest the presence of common and distinct pattern of GM alterations in NA-FEP and A-FEP. Future larger longitudinal studies are needed to further characterize specific neural biomarkers in homogenous NA-FEP and A-FEP samples.
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Affiliation(s)
- A Calvo
- Faculty of Health Sciences, Universidad Internacional de la Rioja (UNIR), Spain.
| | - G Delvecchio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - A C Altamura
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - J C Soares
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, TX, USA
| | - P Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; IRCCS "E. Medea" Scientific Institute, Bosisio Parini LC, Italy.
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217
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Acuff HE, Versace A, Bertocci MA, Hanford LC, Ladouceur CD, Manelis A, Monk K, Bonar L, McCaffrey A, Goldstein BI, Goldstein TR, Sakolsky D, Axelson D, Birmaher B, Phillips ML. White matter - emotion processing activity relationships in youth offspring of bipolar parents. J Affect Disord 2019; 243:153-164. [PMID: 30243195 PMCID: PMC6476540 DOI: 10.1016/j.jad.2018.09.010] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Revised: 07/31/2018] [Accepted: 09/09/2018] [Indexed: 01/10/2023]
Abstract
BACKGROUND Early detection of Bipolar Disorder (BD) is critical for targeting interventions to delay or prevent illness onset. Yet, the absence of objective BD biomarkers makes accurately identifying at-risk youth difficult. In this study, we examined how relationships between white matter tract (WMT) structure and activity in emotion processing neural circuitry differentiate youth at risk for BD from youth at risk for other psychiatric disorders. METHODS Offspring (ages 8-17) of parents with BD (OBP, n = 32), offspring of comparison parents with non-BD psychopathology (OCP, n = 30), and offspring of healthy parents (OHP, n = 24) underwent diffusion tensor and functional magnetic resonance imaging while performing an emotional face processing task. Penalized and multiple regression analyses included GROUP(OBP,OCP)xWMT interactions as main independent variables, and emotion processing activity as dependent variables, to determine significant group differences in WMT-activity relationships. RESULTS 8 GROUPxWMT interaction variables contributed to 16.5% of the variance in amygdala and prefrontal cortical activity to happy faces. Of these, significant group differences in slopes (inverse for OBP, positive for OCP) existed for the relationship between forceps minor radial diffusivity and rostral anterior cingulate activity (p = 0.014). Slopes remained significantly different in unmedicated youth without psychiatric disorders (p = 0.017) and were moderated by affective lability symptoms (F(1,29) = 5.566, p = 0.036). LIMITATIONS Relatively small sample sizes were included. CONCLUSIONS Forceps minor radial diffusivity-rostral anterior cingulate activity relationships may reflect underlying neuropathological processes that contribute to affectively labile youth at risk for BD and may help differentiate them from youth at risk for other psychiatric disorders.
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Affiliation(s)
- Heather E. Acuff
- Departments of Neuroscience, Psychology, and Psychiatry, Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA,Medical Scientist Training Program, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Amelia Versace
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | | | | | - Anna Manelis
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kelly Monk
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lisa Bonar
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alicia McCaffrey
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Tina R. Goldstein
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Dara Sakolsky
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - David Axelson
- Department of Psychiatry, Nationwide Children’s Hospital and The Ohio State College of Medicine, Columbus, OH, USA
| | | | - Boris Birmaher
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mary L. Phillips
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
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218
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Deng W, Zhang B, Zou W, Zhang X, Cheng X, Guan L, Lin Y, Lao G, Ye B, Li X, Yang C, Ning Y, Cao L. Abnormal Degree Centrality Associated With Cognitive Dysfunctions in Early Bipolar Disorder. Front Psychiatry 2019; 10:140. [PMID: 30949078 PMCID: PMC6435527 DOI: 10.3389/fpsyt.2019.00140] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Accepted: 02/26/2019] [Indexed: 01/09/2023] Open
Abstract
Delayed diagnosis of bipolar disorder (BD) is common. However, diagnostic validity may be enhanced using reliable neurobiological markers for BD. Degree centrality (DC) is one such potential marker that enables researchers to visualize neuronal network abnormalities in the early stages of some neuropsychiatric disorders. In the present study, we measured resting-state DC abnormalities and cognitive deficits in order to identify early neurobiological markers for BD. We recruited 23 patients with BD who had recently experienced manic episodes (duration of illness <2 years) and 46 matched healthy controls. Our findings indicated that patients with BD exhibited DC abnormalities in frontal areas, temporal areas, the right postcentral gyrus, and the posterior lobe of the cerebellum. Moreover, correlation analysis revealed that psychomotor speed indicators were associated with DC in the superior temporal and inferior temporal gyri, while attention indicators were associated with DC in the inferior temporal gyrus, in patients with early BD. Our findings suggest that DC abnormalities in neural emotion regulation circuits are present in patients with early BD, and that correlations between attention/psychomotor speed deficits and temporal DC abnormalities may represent early markers of BD.
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Affiliation(s)
- Wenhao Deng
- Department of Early Intervention, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Bin Zhang
- Department of Early Intervention, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wenjin Zou
- Department of Radiology, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaofei Zhang
- Department of Early Intervention, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiongchao Cheng
- Department of Early Intervention, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Lijie Guan
- Department of Early Intervention, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yin Lin
- Department of Child and Adolescent, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Guohui Lao
- Department of Early Intervention, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Biyu Ye
- Department of Early Intervention, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xuan Li
- Department of Early Intervention, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Chanjuan Yang
- Department of Child and Adolescent, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuping Ning
- Mental Health Institute, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Liping Cao
- Department of Early Intervention, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.,Department of Child and Adolescent, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
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219
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Tulay EE, Metin B, Tarhan N, Arıkan MK. Multimodal Neuroimaging: Basic Concepts and Classification of Neuropsychiatric Diseases. Clin EEG Neurosci 2019; 50:20-33. [PMID: 29925268 DOI: 10.1177/1550059418782093] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Neuroimaging techniques are widely used in neuroscience to visualize neural activity, to improve our understanding of brain mechanisms, and to identify biomarkers-especially for psychiatric diseases; however, each neuroimaging technique has several limitations. These limitations led to the development of multimodal neuroimaging (MN), which combines data obtained from multiple neuroimaging techniques, such as electroencephalography, functional magnetic resonance imaging, and yields more detailed information about brain dynamics. There are several types of MN, including visual inspection, data integration, and data fusion. This literature review aimed to provide a brief summary and basic information about MN techniques (data fusion approaches in particular) and classification approaches. Data fusion approaches are generally categorized as asymmetric and symmetric. The present review focused exclusively on studies based on symmetric data fusion methods (data-driven methods), such as independent component analysis and principal component analysis. Machine learning techniques have recently been introduced for use in identifying diseases and biomarkers of disease. The machine learning technique most widely used by neuroscientists is classification-especially support vector machine classification. Several studies differentiated patients with psychiatric diseases and healthy controls with using combined datasets. The common conclusion among these studies is that the prediction of diseases increases when combining data via MN techniques; however, there remain a few challenges associated with MN, such as sample size. Perhaps in the future N-way fusion can be used to combine multiple neuroimaging techniques or nonimaging predictors (eg, cognitive ability) to overcome the limitations of MN.
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Affiliation(s)
| | | | - Nevzat Tarhan
- 1 Uskudar University, Istanbul, Turkey.,2 NPIstanbul Hospital, Istanbul, Turkey
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220
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Perry A, Roberts G, Mitchell PB, Breakspear M. Connectomics of bipolar disorder: a critical review, and evidence for dynamic instabilities within interoceptive networks. Mol Psychiatry 2019; 24:1296-1318. [PMID: 30279458 PMCID: PMC6756092 DOI: 10.1038/s41380-018-0267-2] [Citation(s) in RCA: 80] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Revised: 08/14/2018] [Accepted: 09/07/2018] [Indexed: 12/31/2022]
Abstract
The notion that specific cognitive and emotional processes arise from functionally distinct brain regions has lately shifted toward a connectivity-based approach that emphasizes the role of network-mediated integration across regions. The clinical neurosciences have likewise shifted from a predominantly lesion-based approach to a connectomic paradigm-framing disorders as diverse as stroke, schizophrenia (SCZ), and dementia as "dysconnection syndromes". Here we position bipolar disorder (BD) within this paradigm. We first summarise the disruptions in structural, functional and effective connectivity that have been documented in BD. Not surprisingly, these disturbances show a preferential impact on circuits that support emotional processes, cognitive control and executive functions. Those at high risk (HR) for BD also show patterns of connectivity that differ from both matched control populations and those with BD, and which may thus speak to neurobiological markers of both risk and resilience. We highlight research fields that aim to link brain network disturbances to the phenotype of BD, including the study of large-scale brain dynamics, the principles of network stability and control, and the study of interoception (the perception of physiological states). Together, these findings suggest that the affective dysregulation of BD arises from dynamic instabilities in interoceptive circuits which subsequently impact on fear circuitry and cognitive control systems. We describe the resulting disturbance as a "psychosis of interoception".
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Affiliation(s)
- Alistair Perry
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. .,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin/London, Germany. .,Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, 14195, Berlin, Germany.
| | - Gloria Roberts
- 0000 0004 4902 0432grid.1005.4School of Psychiatry, University of New South Wales, Randwick, NSW Australia ,grid.415193.bBlack Dog Institute, Prince of Wales Hospital, Randwick, NSW Australia
| | - Philip B. Mitchell
- 0000 0004 4902 0432grid.1005.4School of Psychiatry, University of New South Wales, Randwick, NSW Australia ,grid.415193.bBlack Dog Institute, Prince of Wales Hospital, Randwick, NSW Australia
| | - Michael Breakspear
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. .,Metro North Mental Health Service, Brisbane, QLD, Australia.
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221
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Abstract
Given the failure of psychiatry to develop clinically useful biomarkers for psychiatric disorders, and the concomitant failure to develop significant advances in diagnosis and treatment, the National Institute of Mental Health (NIMH) in 2010 launched the Research Domain Criteria (RDoC), a framework for research based on the assumption that mental disorders are disorders of identifiable brain neural circuits, with neural circuitry at the center of units of analysis ranging from genes, molecules, and cells to behavior, self-reports, and paradigms. These were to be integrated with five validated dimensional psychological constructs such as negative and positive valence systems. Four years later, the NIMH stated that the ultimate goal of RDoC is precision medicine for psychiatry, with the assumption that precision medications will normalize dysfunctional neural circuits. How this could be accomplished is not obvious, given that neural circuits are widely distributed, have unclear boundaries, and exhibit a significant degree of neuroplasticity, with multiple circuits present in any given disorder. Moreover, the early focus on neural circuitry has been criticized for its reductionism and neglect of the more recent RDoC emphasis on the integration and equivalence of biological and psychological phenomena. Yet this seems inconsistent with the priorities of the NIMH director, an advocate of the central role of neural circuitry and projects such as the Brain Initiative and the Human Connectome Project. Will such projects, at a cost of at least $10 billion, lead to precision medications for mental disorders, or further diminish funding for clinical care and research?
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Affiliation(s)
- Charles E Dean
- Mental Health Service Line,Minneapolis Veteran Administration Medical Center,One Veterans Drive, Minneapolis Minnesota, 55147,USA
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222
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Vai B, Bertocchi C, Benedetti F. Cortico-limbic connectivity as a possible biomarker for bipolar disorder: where are we now? Expert Rev Neurother 2019; 19:159-172. [PMID: 30599797 DOI: 10.1080/14737175.2019.1562338] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
INTRODUCTION The fronto-limbic network has been suggested as a key circuitry in the pathophysiology and maintenance of bipolar disorder. In the past decade, a disrupted connectivity within prefrontal-limbic structures was identified as a promising candidate biomarker for the disorder. Areas Covered: In this review, the authors examine current literature in terms of the structural, functional and effective connectivity in bipolar disorder, integrating recent findings of imaging genetics and machine learning. This paper profiles the current knowledge and identifies future perspectives to provide reliable and usable neuroimaging biomarkers for bipolar psychopathology in clinical practice. Expert Opinion: The replication and the translation of acquired knowledge into useful and usable tools represents one of the current greatest challenges in biomarker research applied to psychiatry.
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Affiliation(s)
- Benedetta Vai
- a Psychiatry & Clinical Psychobiology , Division of Neuroscience, Scientific Institute Ospedale San Raffaele , Milano , Italy.,b University Vita-Salute San Raffaele , Milano , Italy
| | - Carlotta Bertocchi
- a Psychiatry & Clinical Psychobiology , Division of Neuroscience, Scientific Institute Ospedale San Raffaele , Milano , Italy
| | - Francesco Benedetti
- a Psychiatry & Clinical Psychobiology , Division of Neuroscience, Scientific Institute Ospedale San Raffaele , Milano , Italy.,b University Vita-Salute San Raffaele , Milano , Italy
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223
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Ambrosia M, Eckstrand KL, Morgan JK, Allen NB, Jones NP, Sheeber L, Silk JS, Forbes EE. Temptations of friends: adolescents' neural and behavioral responses to best friends predict risky behavior. Soc Cogn Affect Neurosci 2018; 13:483-491. [PMID: 29846717 PMCID: PMC6007330 DOI: 10.1093/scan/nsy028] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Accepted: 04/04/2018] [Indexed: 11/18/2022] Open
Abstract
Adolescents are notorious for engaging in risky, reward-motivated behavior, and this behavior occurs most often in response to social reward, typically in the form of peer contexts involving intense positive affect. A combination of greater neural and behavioral sensitivity to peer positive affect may characterize adolescents who are especially likely to engage in risky behaviors. To test this hypothesis, we examined 50 adolescents’ reciprocal positive affect and neural response to a personally relevant, ecologically valid pleasant stimulus: positive affect expressed by their best friend during a conversation about past and future rewarding mutual experiences. Participants were typically developing community adolescents (age 14–18 years, 48.6% female), and risky behavior was defined as a factor including domains such as substance use, sexual behavior and suicidality. Adolescents who engaged in more real-life risk-taking behavior exhibited either a combination of high reciprocal positive affect behavior and high response in the left ventrolateral prefrontal cortex—a region associated with impulsive sensation-seeking—or the opposite combination. Behavioral and neural sensitivity to peer influence could combine to contribute to pathways from peer influence to risky behavior, with implications for healthy development.
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Affiliation(s)
- Marigrace Ambrosia
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Kristen L Eckstrand
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Judith K Morgan
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | | | - Neil P Jones
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | | | - Jennifer S Silk
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, USA.,Department of Psychology
| | - Erika E Forbes
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, USA.,Department of Psychology.,Department of Pediatrics.,Center for the Neural Bases of Cognition, University of Pittsburgh, Pittsburgh, PA 15213, USA
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224
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Chase HW, Graur S, Fournier JC, Bertocci M, Greenberg T, Aslam H, Stiffler R, Lockovich J, Bebko G, Iyengar S, Phillips ML. WITHDRAWN: Relationship between functional connectivity between the ventral striatum and right ventrolateral prefrontal cortex and individual differences in goal-engagement dimensions of impulsive sensation seeking. Cortex 2018. [DOI: 10.1016/j.cortex.2018.11.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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225
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Soeiro-de-Souza MG, Otaduy MCG, Machado-Vieira R, Moreno RA, Nery FG, Leite C, Lafer B. Lithium-associated anterior cingulate neurometabolic profile in euthymic Bipolar I disorder: A 1H-MRS study. J Affect Disord 2018; 241:192-199. [PMID: 30130684 DOI: 10.1016/j.jad.2018.08.039] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Revised: 08/07/2018] [Accepted: 08/09/2018] [Indexed: 01/28/2023]
Abstract
OBJECTIVE In the treatment of Bipolar disorder (BD), achieving euthymia is highly complex and usually requires a combination of mood stabilizers. The mechanism of action in stabilizing mood has not been fully elucidated, but alterations in N-Acetylaspartate (NAA), Myo-Inositol (mI) and Choline (Cho) have been implicated. Proton magnetic resonance spectroscopy (1H-MRS) is the gold standard technique for measuring brain NAA, Cho and mI in vivo. The objective of this study was to investigate the association of lithium use in BD type I and brain levels of NAA, mI and Cho in the (anterior cingulate cortex) ACC. METHODS 129 BD type I subjects and 79 healthy controls (HC) were submitted to a 3-Tesla brain magnetic resonance imaging scan (1H-MRS) using a PRESS ACC single voxel (8cm3) sequence. RESULTS BD patients exhibited higher NAA and Cho levels compared to HC. Lithium prescription was associated with lower mI (combination + monotherapy) and higher NAA levels (monotherapy). CONCLUSION The results observed add to the knowledge about the mechanisms of action of mood stabilizers on brain metabolites during euthymia. Additionally, the observed decrease in mI levels associated with lithium monotherapy is an in vivo finding that supports the inositol-depletion hypothesis of lithium pharmacodynamics.
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Affiliation(s)
- Marcio Gerhardt Soeiro-de-Souza
- Mood Disorders Unit (GRUDA), Department and Institute of Psychiatry, University of Sao Paulo, Brazil; Genetics and Pharmacogenetics Unit (PROGENE), Department and Institute of Psychiatry, University of Sao Paulo, Brazil.
| | - Maria Concepcion Garcia Otaduy
- Laboratory of Magnetic Resonance LIM44, Department and Institute of Radiology, University of São Paulo (InRad-FMUSP), Brazil
| | | | - Ricardo Alberto Moreno
- Mood Disorders Unit (GRUDA), Department and Institute of Psychiatry, University of Sao Paulo, Brazil
| | - Fabiano G Nery
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, USA
| | - Claudia Leite
- Laboratory of Magnetic Resonance LIM44, Department and Institute of Radiology, University of São Paulo (InRad-FMUSP), Brazil
| | - Beny Lafer
- Bipolar Disorders Program (PROMAN), Department and Institute of Psychiatry, University of São Paulo, Brazil
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226
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Acuff HE, Versace A, Bertocci MA, Ladouceur CD, Hanford LC, Manelis A, Monk K, Bonar L, McCaffrey A, Goldstein BI, Goldstein TR, Sakolsky D, Axelson D, Birmaher B, Phillips ML. Association of Neuroimaging Measures of Emotion Processing and Regulation Neural Circuitries With Symptoms of Bipolar Disorder in Offspring at Risk for Bipolar Disorder. JAMA Psychiatry 2018; 75:1241-1251. [PMID: 30193355 PMCID: PMC6528787 DOI: 10.1001/jamapsychiatry.2018.2318] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
IMPORTANCE Bipolar disorder (BD) is difficult to distinguish from other psychiatric disorders. Neuroimaging studies can identify objective markers of BD risk. OBJECTIVE To identify neuroimaging measures in emotion processing and regulation neural circuitries and their associations with symptoms specific to youth at risk for BD. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional (August 1, 2011, to July 31, 2017) and longitudinal (February 1, 2013, to November 30, 2017) neuroimaging study performed at the University of Pittsburgh Medical Center compared a sample of 31 offspring of parents with BD (OBP) with 28 offspring of comparison parents with non-BD psychopathologies (OCP) and 21 offspring of healthy parents (OHP); OBP, OCP, and OHP were recruited from the Bipolar Offspring Study and the Longitudinal Assessment of Manic Symptoms Study. MAIN OUTCOMES AND MEASURES Group differences in activity and functional connectivity during emotional face processing and n-back task performance in amygdala, dorsolateral and ventrolateral prefrontal cortices (PFC), caudal anterior cingulate cortices (cACC), and rostral anterior cingulate cortices (rACC) neuroimaging measures showing between-group differences and symptom severity (anxiety, affective lability, depression, mania). We hypothesized that elevated amygdala activity and/or lower PFC activity and abnormal amygdala to PFC functional connectivity would distinguish OBP from OCP and OHP, and magnitudes of these abnormalities would positively correlate with elevated symptom severity. We explored associations between changes in neuroimaging and symptom measures over follow-up (mean [SD], 2.9 [1.4] years) in a subset of participants (n = 30). RESULTS Eighty participants were included (mean [SD] age, 14.2 (2.1) years; 35 female). Twelve neuroimaging measures explained 51% of the variance in the results of neuroimaging measures overall. Of the 12, 9 showed significant main associations of the group; however, after post hoc analyses and Bonferroni corrections, only 7 showed statistically significant associations between groups (corrected P < .05 for all). Of the 7, 2 showed significant relationships with symptoms. Offspring of parents with BD had greater right rACC activity when regulating attention to happy faces vs OCP (mean [SD] difference, 0.744 [0.249]; 95% CI, 0.134-1.354; P = .01), which positively correlated with affective lability severity (ρ = 0.304; uncorrected P = .006). Offspring of parents with BD had greater amygdala to left cACC functional connectivity when regulating attention to fearful faces vs OCP (mean [SD] difference, 0.493 [0.169]; 95% CI, 0.079-0.908; P = .01). Increases in this measure positively correlated with increases in affective lability over follow-up (r = 0.541; P = .003). CONCLUSIONS AND RELEVANCE Greater anterior cingulate cortex activity and functional connectivity during emotion regulation tasks may be specific markers of BD risk. These findings highlight potential neural targets to aid earlier identification of and guide new treatment developments for BD.
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Affiliation(s)
- Heather E. Acuff
- Departments of Neuroscience, Psychology, and Psychiatry, Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA,Medical Scientist Training Program, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Amelia Versace
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | | | | | - Anna Manelis
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kelly Monk
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lisa Bonar
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alicia McCaffrey
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Tina R. Goldstein
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Dara Sakolsky
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - David Axelson
- Department of Psychiatry, Nationwide Children’s Hospital and The Ohio State College of Medicine, Columbus, Ohio, USA
| | - Boris Birmaher
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
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227
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Kling LR, Bessette KL, DelDonno SR, Ryan KA, Drevets WC, McInnis MG, Phillips ML, Langenecker SA. Cluster analysis with MOODS-SR illustrates a potential bipolar disorder risk phenotype in young adults with remitted major depressive disorder. Bipolar Disord 2018; 20:697-707. [PMID: 30294823 PMCID: PMC6319908 DOI: 10.1111/bdi.12693] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVES Delays in the diagnosis and detection of bipolar disorder can lead to adverse consequences, including improper treatment and increased suicide risk. The Mood Spectrum Self-Report Measure (MOODS-SR) was designed to capture the full spectrum of lifetime mood symptomology with factor scores for depression and mania symptom constellations. The utility of the MOODS-SR as a tool to investigate homogeneous subgroups was examined, with particular focus on a possible bipolar risk subgroup. Moreover, potential patterns of differences in MOODS-SR subtypes were probed using cognitive vulnerabilities, neuropsychological functioning, and ventral striatum connectivity. METHODS K-mean cluster analysis based on factor scores of MOODS-SR was used to determine homogeneous subgroupings within a healthy and remitted depressed young adult sample (N = 86). Between-group comparisons (based on cluster subgroupings) were conducted on measures of cognitive vulnerabilities, neuropsychological functioning, and ventral striatum rs-fMRI connectivity. RESULTS Three groups of participants were identified: one with minimal symptomology, one with moderate primarily depressive symptomology, and one with more severe manic and depressive symptomology. Differences in impulsivity, neuroticism, conscientiousness, facial perception accuracy, and rs-fMRI connectivity exist between moderate and severe groups. CONCLUSIONS Within a sample of people with and without depression histories, a severe subgroup was identified with potentially increased risk of developing bipolar disorder through use of the MOODS-SR. This small subgroup had higher levels of lifetime depression and mania symptoms. Additionally, differences in traits, affective processing, and connectivity exist between those with a more prototypic unipolar subgrouping and those with potential risk for developing bipolar disorder.
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Affiliation(s)
| | | | | | - Kelly A Ryan
- University of Michigan Medical Center, Ann Arbor, MI,
USA
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228
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Teixeira AL, Colpo GD, Fries GR, Bauer IE, Selvaraj S. Biomarkers for bipolar disorder: current status and challenges ahead. Expert Rev Neurother 2018; 19:67-81. [PMID: 30451546 DOI: 10.1080/14737175.2019.1550361] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
INTRODUCTION Bipolar disorder (BD) is a chronic psychiatric disorder marked by clinical and pathophysiological heterogeneity. There is a high expectation that personalized approaches can improve the management of patients with BD. For that, identification and validation of potential biomarkers are fundamental. Areas covered: This manuscript will critically review the current status of different biomarkers for BD, including peripheral, genetic, neuroimaging, and neurophysiological candidates, discussing the challenges to move the field forward. Expert commentary: There are no lab or complementary tests currently recommended for the diagnosis or management of patients with BD. Panels composed by multiple biomarkers will probably contribute to stratifying patients according to their clinical stage, therapeutic response, and prognosis.
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Affiliation(s)
- Antonio L Teixeira
- a Department of Psychiatry & Behavioral Sciences , McGovern Medical School, UT Health , Houston , TX , USA.,b Laboratório Interdisciplinar de Investigação Médica, Faculdade de Medicina , Universidade Federal de Minas Gerais (UFMG) , Belo Horizonte , Brazil
| | - Gabriela D Colpo
- a Department of Psychiatry & Behavioral Sciences , McGovern Medical School, UT Health , Houston , TX , USA
| | - Gabriel R Fries
- a Department of Psychiatry & Behavioral Sciences , McGovern Medical School, UT Health , Houston , TX , USA
| | - Isabelle E Bauer
- a Department of Psychiatry & Behavioral Sciences , McGovern Medical School, UT Health , Houston , TX , USA
| | - Sudhakar Selvaraj
- a Department of Psychiatry & Behavioral Sciences , McGovern Medical School, UT Health , Houston , TX , USA
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229
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Pasternak O, Kelly S, Sydnor VJ, Shenton ME. Advances in microstructural diffusion neuroimaging for psychiatric disorders. Neuroimage 2018; 182:259-282. [PMID: 29729390 PMCID: PMC6420686 DOI: 10.1016/j.neuroimage.2018.04.051] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Revised: 04/18/2018] [Accepted: 04/23/2018] [Indexed: 12/18/2022] Open
Abstract
Understanding the neuropathological underpinnings of mental disorders such as schizophrenia, major depression, and bipolar disorder is an essential step towards the development of targeted treatments. Diffusion MRI studies utilizing the diffusion tensor imaging (DTI) model have been extremely successful to date in identifying microstructural brain abnormalities in individuals suffering from mental illness, especially in regions of white matter, although identified abnormalities have been biologically non-specific. Building on DTI's success, in recent years more advanced diffusion MRI methods have been developed and applied to the study of psychiatric populations, with the aim of offering increased sensitivity to subtle neurological abnormalities, as well as improved specificity to candidate pathologies such as demyelination and neuroinflammation. These advanced methods, however, usually come at the cost of prolonged imaging sequences or reduced signal to noise, and they are more difficult to evaluate compared with the more simplified approach taken by the now common DTI model. To date, a limited number of advanced diffusion MRI methods have been employed to study schizophrenia, major depression and bipolar disorder populations. In this review we survey these studies, compare findings across diverse methods, discuss the main benefits and limitations of the different methods, and assess the extent to which the application of more advanced diffusion imaging approaches has led to novel and transformative information with regards to our ability to better understand the etiology and pathology of mental disorders.
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Affiliation(s)
- Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Sinead Kelly
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Valerie J Sydnor
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Martha E Shenton
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Veteran Affairs Boston Healthcare System, Brockton Division, Brockton, MA, USA
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230
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Versace A, Ladouceur CD, Graur S, Acuff HE, Bonar LK, Monk K, McCaffrey A, Yendiki A, Leemans A, Travis MJ, Diwadkar VA, Holland SK, Sunshine JL, Kowatch RA, Horwitz SM, Frazier TW, Arnold LE, Fristad MA, Youngstrom EA, Findling RL, Goldstein BI, Goldstein T, Axelson D, Birmaher B, Phillips ML. Diffusion imaging markers of bipolar versus general psychopathology risk in youth at-risk. Neuropsychopharmacology 2018; 43:2212-2220. [PMID: 29795244 PMCID: PMC6135796 DOI: 10.1038/s41386-018-0083-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Revised: 03/31/2018] [Accepted: 04/10/2018] [Indexed: 12/22/2022]
Abstract
Bipolar disorder (BD) is highly heritable. Thus, studies in first-degree relatives of individuals with BD could lead to the discovery of objective risk markers of BD. Abnormalities in white matter structure reported in at-risk individuals could play an important role in the pathophysiology of BD. Due to the lack of studies with other at-risk offspring, however, it remains unclear whether such abnormalities reflect BD-specific or generic risk markers for future psychopathology. Using a tract-profile approach, we examined 18 major white matter tracts in 38 offspring of BD parents, 36 offspring of comparison parents with non-BD psychopathology (depression, attention-deficit/hyperactivity disorder), and 41 offspring of healthy parents. Both at-risk groups showed significantly lower fractional anisotropy (FA) in left-sided tracts (cingulum, inferior longitudinal fasciculus, forceps minor), and significantly greater FA in right-sided tracts (uncinate fasciculus and inferior longitudinal fasciculus), relative to offspring of healthy parents (P < 0.05). These abnormalities were present in both healthy and affected youth in at-risk groups. Only offspring (particularly healthy offspring) of BD parents showed lower FA in the right superior longitudinal fasciculus relative to healthy offspring of healthy parents (P < 0.05). We show, for the first time, important similarities, and some differences, in white matter structure between offspring of BD and offspring of non-BD parents. Findings suggest that lower left-sided and higher right-sided FA in tracts important for emotional regulation may represent markers of risk for general, rather than BD-specific, psychopathology. Lower FA in the right superior longitudinal fasciculus may protect against development of BD in offspring of BD parents.
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Affiliation(s)
- A Versace
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA.
| | - C D Ladouceur
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - S Graur
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - H E Acuff
- Departments of Neuroscience, Psychology, and Psychiatry, Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA
- Medical Scientist Training Program, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - L K Bonar
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - K Monk
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - A McCaffrey
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - A Yendiki
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - A Leemans
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - M J Travis
- LAMS Consortium, Epping, NSW, 1710, Australia
| | | | - S K Holland
- LAMS Consortium, Epping, NSW, 1710, Australia
| | | | - R A Kowatch
- LAMS Consortium, Epping, NSW, 1710, Australia
| | - S M Horwitz
- LAMS Consortium, Epping, NSW, 1710, Australia
| | - T W Frazier
- LAMS Consortium, Epping, NSW, 1710, Australia
| | - L E Arnold
- Department of Psychiatry, Nationwide Children's Hospital and The Ohio State College of Medicine, Columbus, OH, USA
| | - M A Fristad
- LAMS Consortium, Epping, NSW, 1710, Australia
| | | | | | - B I Goldstein
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - T Goldstein
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - D Axelson
- Department of Psychiatry, Nationwide Children's Hospital and The Ohio State College of Medicine, Columbus, OH, USA
| | - B Birmaher
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - M L Phillips
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA
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231
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Lin K, Shao R, Geng X, Chen K, Lu R, Gao Y, Bi Y, Lu W, Guan L, Kong J, Xu G, So KF. Illness, at-risk and resilience neural markers of early-stage bipolar disorder. J Affect Disord 2018; 238:16-23. [PMID: 29852342 DOI: 10.1016/j.jad.2018.05.017] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Revised: 04/06/2018] [Accepted: 05/15/2018] [Indexed: 01/10/2023]
Abstract
BACKGROUND Current knowledge on objective and specific neural markers for bipolar risk and resilience-related processes is lacking, partly due to not subdividing high-risk individuals manifesting different levels of subclinical symptoms who possibly possess different levels of resilience. METHODS We delineated grey matter markers for bipolar illness, genetic high risk (endophenotype) and resilience, through comparing across 42 young non-comorbid bipolar patients, 42 healthy controls, and 72 diagnosis-free, medication-naive high-genetic-risk individuals subdivided into a combined-high-risk group who additionally manifested bipolar risk-relevant subsyndromes (N = 38), and an asymptomatic high-risk group (N = 34). Complementary analyses assessed the additional predictive and classification values of grey matter markers beyond those of clinical scores, through using logistic regression and support vector machine analyses. RESULTS Illness-related effects manifested as reduced grey matter volumes of bilateral temporal limbic-striatal and cerebellar regions, which significantly differentiated bipolar patients from healthy controls and improved clinical classification specificity by 20%. Reduced bilateral cerebellar grey matter volume emerged as a potential endophenotype and (along with parieto-occipital grey matter changes) separated combined-high-risk individuals from healthy and high-risk individuals, and increased clinical classification specificity by approximately 10% and 27%, respectively, while the relatively normalized cerebellar grey matter volumes in the high-risk sample may confer resilience. LIMITATIONS The cross-validation procedure was not performed on an independent sample using independently-derived features. The BD group had different age and sex distributions than some other groups which may not be fully addressable statistically. CONCLUSIONS Our framework can be applied in other measurement domains to derive complete profiles for bipolar patients and at-risk individuals, towards forming strategies for promoting resilience and preclinical intervention.
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Affiliation(s)
- Kangguang Lin
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; GMH Institute of CNS Regeneration, Jinan University, Guangzhou, China; GMU-HKU Mood and Brain Science Center, Guangzhou, China.
| | - Robin Shao
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; GMU-HKU Mood and Brain Science Center, Guangzhou, China; The State Key Laboratory of Brain and Cognitive Sciences and Department of Ophthalmology, The University of Hong Kong, Hong Kong; Laboratory of Neuropsychology and Laboratory of Social Cognitive Affective Neuroscience, Department of Psychology, University of Hong Kong, Hong Kong
| | - Xiujuan Geng
- The State Key Laboratory of Brain and Cognitive Sciences and Department of Ophthalmology, The University of Hong Kong, Hong Kong; Laboratory of Neuropsychology and Laboratory of Social Cognitive Affective Neuroscience, Department of Psychology, University of Hong Kong, Hong Kong
| | - Kun Chen
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Rui Lu
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China
| | - Yanling Gao
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yanan Bi
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Weicong Lu
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Lijie Guan
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jiehua Kong
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Guiyun Xu
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; GMU-HKU Mood and Brain Science Center, Guangzhou, China
| | - Kwok-Fai So
- GMH Institute of CNS Regeneration, Jinan University, Guangzhou, China; GMU-HKU Mood and Brain Science Center, Guangzhou, China; The State Key Laboratory of Brain and Cognitive Sciences and Department of Ophthalmology, The University of Hong Kong, Hong Kong
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Ellard KK, Gosai AG, Bernstein EE, Kaur N, Sylvia LG, Camprodon JA, Dougherty DD, Nierenberg AA, Deckersbach T. Intrinsic functional neurocircuitry associated with treatment response to transdiagnostic CBT in bipolar disorder with anxiety. J Affect Disord 2018; 238:383-391. [PMID: 29909301 PMCID: PMC7980284 DOI: 10.1016/j.jad.2018.06.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Revised: 05/16/2018] [Accepted: 06/01/2018] [Indexed: 11/15/2022]
Abstract
BACKGROUND Anxiety in bipolar disorder (BD) exacerbates emotion dysregulation and reduces treatment response. We recently conducted a pilot trial of transdiagnostic CBT to target anxiety and emotion dysregulation in BD adjunctive to pharmacotherapy. Reductions in depression and anxiety symptoms were significantly predicted by baseline levels of neuroticism and perceived affective control, as well as changes over time in emotion regulation skills. The present study investigates mechanism of treatment response by examining the relationship between baseline emotion regulation-related neural circuitry and trial outcomes. METHODS Nineteen patients completed baseline resting state fMRI scans prior to treatment randomization. Functional connectivity between the anterior insula (AI) and regions in the salience network (SN), default mode network (DMN), and executive control network (ECN) were examined as predictors of baseline and treatment-related changes in emotion regulation. RESULTS Greater improvements in emotion regulation were predicted by weaker right dorsal AI - right ventrolateral prefrontal cortex (VLPFC; SN) and stronger bilateral dorsal AI - bilateral amygdala functional connectivity. Baseline neuroticism was negatively correlated with right dorsal AI- inferior parietal lobule (ECN) functional connectivity, and baseline deficits in perceived affective control were positively associated with ventral AI - bilateral dACC (SN) connectivity. LIMITATIONS Small sample limits interpretability of treatment-specific effects. CONCLUSION Baseline functional connectivity of emotion-regulation related neural circuitry significantly predicted change in emotion regulation-related dimensions associated with anxiety and depression symptom reduction. Future studies are needed to determine if employing methods such as neuromodulation to rehabilitate relevant neural circuitry may improve ultimate treatment outcomes of transdiagnostic CBT for BD and anxiety.
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Affiliation(s)
- Kristen K Ellard
- Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA 02114, United States.
| | - Aishwarya G Gosai
- Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA 02114, United States
| | | | | | - Lousia G Sylvia
- Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA 02114, United States
| | - Joan A Camprodon
- Division of Neurotherapeutics, Department of Psychiatry, Massachusetts General Hospital, Charlestown, MA, United States
| | - Darin D Dougherty
- Division of Neurotherapeutics, Department of Psychiatry, Massachusetts General Hospital, Charlestown, MA, United States
| | - Andrew A Nierenberg
- Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA 02114, United States
| | - Thilo Deckersbach
- Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, 50 Staniford Street, Suite 580, Boston, MA 02114, United States
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Zhang S, Wang Y, Deng F, Zhong S, Chen L, Luo X, Qiu S, Chen P, Chen G, Hu H, Lai S, Huang H, Jia Y, Huang L, Huang R. Disruption of superficial white matter in the emotion regulation network in bipolar disorder. NEUROIMAGE-CLINICAL 2018; 20:875-882. [PMID: 30286386 PMCID: PMC6169099 DOI: 10.1016/j.nicl.2018.09.024] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Revised: 08/03/2018] [Accepted: 09/25/2018] [Indexed: 12/19/2022]
Abstract
Bipolar disorder (BD) is characterized by emotion dysregulation and involves changes in the gray matter (GM) and white matter (WM). Although previous diffusion tensor imaging (DTI) studies reported changes in the diffusion properties of the deep WM (DWM) in BD patients, the diffusion properties of the superficial WM (SWM) are rarely investigated. In this study, we tried to determine whether the diffusion parameters of the SWM were altered in BD patients compared to controls and whether the changes were associated with the disrupted emotion regulation of the BD patients. We collected DTI data from 37 BD patients and 42 gender- and age-matched healthy controls (HC). Using probabilistic tractography, we defined a population-based SWM mask based on all the subjects. After performing the tract-based spatial statistical (TBSS) analyses, we identified the SWM areas in which the BD patients differed from the controls. This study showed significantly reduced fractional anisotropy in the SWM (FASWM) in the BD patients compared to the HC in the bilateral dorsolateral prefrontal cortex (dlPFC), ventrolateral prefrontal cortex (vlPFC), medial prefrontal cortex (mPFC), and the left parietal cortex. Moreover, compared to the controls, the BD patients showed significantly increased mean diffusivity (MDSWM) and radial diffusivity (RDSWM) in the SWM in the right frontal cortex. This study presents altered cortico-cortical connections proximal to the regions related to the emotion dysregulation of BD patients, which indicated that the SWM may serve as the brain's structural basis underlying the disrupted emotion regulation of BD patients. The disrupted FASWM in the parietal cortex may indicate that the emotion dysregulation in BD patients is related to the cognitive control network. BD patients showed altered FASWM in the regions related to emotion dysregulation. Disrupted SWM may be the brain's structural basis underlying emotion dysregulation in BD patients. FASWM between the vlPFC and dlPFC was negatively correlated with disease exacerbations in BD patients. Emotion dysregulation in BD patients may be related to a disrupted cognitive control network.
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Affiliation(s)
- Shufei Zhang
- Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, PR China
| | - Ying Wang
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China; Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
| | - Feng Deng
- Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, PR China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Lixiang Chen
- Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, PR China
| | - Xiaomei Luo
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China; Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Shaojuan Qiu
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China; Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Ping Chen
- Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, PR China
| | - Guanmao Chen
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China; Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Huiqing Hu
- Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, PR China
| | - Sunkai Lai
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Huiyuan Huang
- Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, PR China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Li Huang
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China; Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Ruiwang Huang
- Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, PR China.
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Foley SF, Bracher-Smith M, Tansey KE, Harrison JR, Parker GD, Caseras X. Fractional anisotropy of the uncinate fasciculus and cingulum in bipolar disorder type I, type II, unaffected siblings and healthy controls. Br J Psychiatry 2018; 213:548-554. [PMID: 30113288 PMCID: PMC6130806 DOI: 10.1192/bjp.2018.101] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND Fractional anisotropy in the uncinate fasciculus and the cingulum may be biomarkers for bipolar disorder and may even be distinctly affected in different subtypes of bipolar disorder, an area in need of further research.AimsThis study aims to establish if fractional anisotropy in the uncinate fasciculus and cingulum shows differences between healthy controls, patients with bipolar disorder type I (BD-I) and type II (BD-II), and their unaffected siblings. METHOD Fractional anisotropy measures from the uncinate fasciculus, cingulum body and parahippocampal cingulum were compared with tractography methods in 40 healthy controls, 32 patients with BD-I, 34 patients with BD-II, 17 siblings of patients with BD-I and 14 siblings of patients with BD-II. RESULTS The main effects were found in both the right and left uncinate fasciculus, with patients with BD-I showing significantly lower fractional anisotropy than both patients with BD-II and healthy controls. Participants with BD-II did not differ from healthy controls. Siblings showed similar effects in the left uncinate fasciculus. In a subsequent complementary analysis, we investigated the association between fractional anisotropy in the uncinate fasciculus and polygenic risk for bipolar disorder and psychosis in a large cohort (n = 570) of healthy participants. However, we found no significant association. CONCLUSIONS Fractional anisotropy in the uncinate fasciculus differs significantly between patients with BD-I and patients with BD-II and healthy controls. This supports the hypothesis of differences in the physiological sub-tract between bipolar disorder subtypes. Similar results were found in unaffected siblings, suggesting the potential for this biomarker to represent an endophenotype for BD-I. However, fractional anisotropy in the uncinate fasciculus seems unrelated to polygenic risk for bipolar disorder or psychosis.Declaration of interestNone.
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Affiliation(s)
- Sonya F. Foley
- scientific support staff, Cardiff University Brain Research Imaging Centre, Cardiff University, UK
| | - Matthew Bracher-Smith
- PhD student, MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, UK
| | - Katherine E. Tansey
- Core Bioinformatics and Statistics Team, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | - Judith R. Harrison
- clinical research fellow, MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, UK
| | - Greg D. Parker
- senior data analyst, Cardiff University Brain Research Imaging Centre, Cardiff University, UK
| | - Xavier Caseras
- faculty member, MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, UK,Correspondence: Xavier Caseras, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Hadyn Ellis building, Maindy Road, Cardiff CF24 4HQ, UK.
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235
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Li L, Ji E, Han X, Tang F, Bai Y, Peng D, Fang Y, Zhang S, Zhang Z, Yang H. Cortical thickness and subcortical volumes alterations in euthymic bipolar I patients treated with different mood stabilizers. Brain Imaging Behav 2018; 13:1255-1264. [DOI: 10.1007/s11682-018-9950-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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236
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Gao S, Calhoun VD, Sui J. Machine learning in major depression: From classification to treatment outcome prediction. CNS Neurosci Ther 2018; 24:1037-1052. [PMID: 30136381 DOI: 10.1111/cns.13048] [Citation(s) in RCA: 160] [Impact Index Per Article: 26.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Revised: 07/19/2018] [Accepted: 07/21/2018] [Indexed: 01/10/2023] Open
Abstract
AIMS Major depression disorder (MDD) is the single greatest cause of disability and morbidity, and affects about 10% of the population worldwide. Currently, there are no clinically useful diagnostic biomarkers that are able to confirm a diagnosis of MDD from bipolar disorder (BD) in the early depressive episode. Therefore, exploring translational biomarkers of mood disorders based on machine learning is in pressing need, though it is challenging, but with great potential to improve our understanding of these disorders. DISCUSSIONS In this study, we review popular machine-learning methods used for brain imaging classification and predictions, and provide an overview of studies, specifically for MDD, that have used magnetic resonance imaging data to either (a) classify MDDs from controls or other mood disorders or (b) investigate treatment outcome predictors for individual patients. Finally, challenges, future directions, and potential limitations related to MDD biomarker identification are also discussed, with a goal of offering a comprehensive overview that may help readers to better understand the applications of neuroimaging data mining in depression. CONCLUSIONS We hope such efforts may highlight the need for an urgently needed paradigm shift in treatment, to guide personalized optimal clinical care.
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Affiliation(s)
- Shuang Gao
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Vince D Calhoun
- The Mind Research Network, Albuquerque, New Mexico.,Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, New Mexico
| | - Jing Sui
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China.,CAS Centre for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China
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237
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Poletti S, Riberto M, Vai B, Ghiglino D, Lorenzi C, Vitali A, Brioschi S, Locatelli C, Serretti A, Colombo C, Benedetti F. A Glutamate Transporter EAAT1 Gene Variant Influences Amygdala Functional Connectivity in Bipolar Disorder. J Mol Neurosci 2018; 65:536-545. [PMID: 30073554 DOI: 10.1007/s12031-018-1138-7] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Accepted: 07/23/2018] [Indexed: 12/27/2022]
Abstract
Bipolar disorder (BD) is a severe illness characterized by recurrent depressive and manic episodes and by emotional dysregulation. Altered cortico-limbic connectivity could account for typical symptoms of the disorder such as mood instability, emotional dysregulation, and cognitive deficits. Functional connectivity positively associated with glutamatergic neurotransmission. The inactivation of glutamate is handled by a series of glutamate transporters, among them, the excitatory amino acid transporter 1 (EAAT1) which is modulated by a SNP rs2731880 (C/T) where the C allele leads to increased EAAT1 expression and glutamate uptake. We hypothesized that rs2731880 would affect cortico-limbic functional connectivity during an implicit affective processing task. Sixty-eight BD patients underwent fMRI scanning during implicit processing of fearful and angry faces. We explored the effect of rs2731880 on the strength of functional connectivity from the amygdalae to the whole brain. A significant activation in response to emotional processing was observed in two main clusters encompassing the right and left amygdala. Amygdalae to whole-brain functional connectivity analyses revealed a significant interaction between rs2731880 and the task (emotional stimuli vs geometric shapes) for the functional connections between the right amygdala and right subgenual anterior cingulate cortex. Post-hoc analyses revealed that T/T patients showed a significant negative connectivity between the amygdala and anterior cingulate cortex compared to C carriers. T/T subjects also performed significantly better in the face-matching task than rs2731880*C carriers. Our findings reveal an EAAT1 genotype-associated difference in cortico-limbic connectivity during affective regulation, possibly identifying a neurobiological underpinning of emotional dysfunction in BD.
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Affiliation(s)
- Sara Poletti
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy.
| | - Martina Riberto
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy
| | - Benedetta Vai
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy
| | - Davide Ghiglino
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy
| | - Cristina Lorenzi
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy
| | - Alice Vitali
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy
| | - Silvia Brioschi
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy
| | - Clara Locatelli
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Cristina Colombo
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy
| | - Francesco Benedetti
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy
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Myczkowski ML, Fernandes A, Moreno M, Valiengo L, Lafer B, Moreno RA, Padberg F, Gattaz W, Brunoni AR. Cognitive outcomes of TMS treatment in bipolar depression: Safety data from a randomized controlled trial. J Affect Disord 2018; 235:20-26. [PMID: 29631203 DOI: 10.1016/j.jad.2018.04.022] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Revised: 03/05/2018] [Accepted: 04/02/2018] [Indexed: 01/05/2023]
Abstract
BACKGROUND Bipolar depression (BD) is a highly prevalent condition associated with marked cognitive deficits that persist even in the euthymic phase of the illness. Pharmacological treatments for BD might further aggravate cognitive impairment, highlighting the need of developing interventions that present cognitive safety. In this study, we evaluated the cognitive effects of H1-coil (deep) transcranial magnetic stimulation (TMS) in patients with treatment-resistant bipolar depression. METHODS Fourty-three patients were randomized to receive 20 sessions of active (55 trains, 18 Hz, 120% resting motor threshold intensity) or sham rTMS within a double-blind, sham-controlled trial. A battery of 20 neuropsychological assessments, grouped in 6 domains (attention and processing speed, working memory and executive function, inhibitory control, language, immediate verbal memory, and long-term verbal memory) was performed at baseline and after 4 and 8 weeks of trial onset. Depressive symptoms were assessed with the 17-item Hamilton Rating Scale for Depression. RESULTS Cognitive improvement was shown for all cognitive domains. It occurred regardless of intervention group and depression improvement. For the language domain, greater improvement was observed in the sham group over time. No correlations between depression (at baseline or during treatment) and cognitive improvement were found. LIMITATIONS Absence of healthy control group. CONCLUSION The results of this exploratory study provide evidence on the cognitive safety of H1-coil TMS for BD patients. Putative pro-cognitive effects of rTMS in BD were not observed and thus should be further investigated.
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Affiliation(s)
- Martin L Myczkowski
- Service of Interdisciplinary Neuromodulation, Laboratory of Neuroscience (LIM27) and National Institute of Biomarkers in Psychiatry (INBioN), Department and Institute of Psychiatry, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Adriano Fernandes
- Service of Interdisciplinary Neuromodulation, Laboratory of Neuroscience (LIM27) and National Institute of Biomarkers in Psychiatry (INBioN), Department and Institute of Psychiatry, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Marina Moreno
- Service of Interdisciplinary Neuromodulation, Laboratory of Neuroscience (LIM27) and National Institute of Biomarkers in Psychiatry (INBioN), Department and Institute of Psychiatry, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Leandro Valiengo
- Service of Interdisciplinary Neuromodulation, Laboratory of Neuroscience (LIM27) and National Institute of Biomarkers in Psychiatry (INBioN), Department and Institute of Psychiatry, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Beny Lafer
- Bipolar Disorder Research Program, Department and Institute of Psychiatry, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Ricardo A Moreno
- Mood Disorders Unit (GRUDA), Department and Institute of Psychiatry, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Frank Padberg
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany
| | - Wagner Gattaz
- Service of Interdisciplinary Neuromodulation, Laboratory of Neuroscience (LIM27) and National Institute of Biomarkers in Psychiatry (INBioN), Department and Institute of Psychiatry, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Andre R Brunoni
- Service of Interdisciplinary Neuromodulation, Laboratory of Neuroscience (LIM27) and National Institute of Biomarkers in Psychiatry (INBioN), Department and Institute of Psychiatry, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil; Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany.
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239
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Syan SK, Smith M, Frey BN, Remtulla R, Kapczinski F, Hall GBC, Minuzzi L. Resting-state functional connectivity in individuals with bipolar disorder during clinical remission: a systematic review. J Psychiatry Neurosci 2018; 43:298-316. [PMID: 30125243 PMCID: PMC6158027 DOI: 10.1503/jpn.170175] [Citation(s) in RCA: 90] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2017] [Revised: 12/21/2017] [Accepted: 01/19/2018] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Bipolar disorder is chronic and debilitating. Studies investigating resting-state functional connectivity in individuals with bipolar disorder may help to inform neurobiological models of illness. METHODS We conducted a systematic review with the following goals: to summarize the literature on resting-state functional connectivity in bipolar disorder during clinical remission (euthymia) compared with healthy controls; to critically appraise the literature and research gaps; and to propose directions for future research. We searched PubMed/MEDLINE, Embase, PsycINFO, CINAHL and grey literature up to April 2017. RESULTS Twenty-three studies were included. The most consistent finding was the absence of differences in resting-state functional connectivity of the default mode network (DMN), frontoparietal network (FPN) and salience network (SN) between people with bipolar disorder and controls, using independent component analysis. However, 2 studies in people with bipolar disorder who were positive for psychosis history reported DMN hypoconnectivity. Studies using seed-based analysis largely reported aberrant resting-state functional connectivity with the amygdala, ventrolateral prefrontal cortex, cingulate cortex and medial prefrontal cortex in people with bipolar disorder compared with controls. Few studies used regional homogeneity or amplitude of low-frequency fluctuations. LIMITATIONS We found heterogeneity in the analysis methods used. CONCLUSION Stability of the DMN, FPN and SN may reflect a state of remission. Further, DMN hypoconnectivity may reflect a positive history of psychosis in patients with bipolar disorder compared with controls, highlighting a potentially different neural phenotype of psychosis in people with bipolar disorder. Resting-state functional connectivity changes between the amygdala, prefrontal cortex and cingulate cortex may reflect a neural correlate of subthreshold symptoms experienced in bipolar disorder euthymia, the trait-based pathophysiology of bipolar disorder and/or a compensatory mechanism to maintain a state of euthymia.
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Affiliation(s)
- Sabrina K Syan
- From the MiNDS Neuroscience Graduate Program, McMaster University (Syan, Frey, Kapczinski, Hall, Minuzzi); the Women's Health Concerns Clinic (Syan, Frey, Remtulla, Minuzzi); the Mood Disorders Program, St. Joseph's Healthcare (Frey, Kapczinski, Minuzzi); the Department of Psychiatry and Behavioural Neurosciences, McMaster University (Smith, Frey, Kapczinski, Minuzzi, Smith); and the Department of Psychology, Neuroscience and Behaviour, McMaster University (Hall), Hamilton, Ontario, Canada
| | - Mara Smith
- From the MiNDS Neuroscience Graduate Program, McMaster University (Syan, Frey, Kapczinski, Hall, Minuzzi); the Women's Health Concerns Clinic (Syan, Frey, Remtulla, Minuzzi); the Mood Disorders Program, St. Joseph's Healthcare (Frey, Kapczinski, Minuzzi); the Department of Psychiatry and Behavioural Neurosciences, McMaster University (Smith, Frey, Kapczinski, Minuzzi, Smith); and the Department of Psychology, Neuroscience and Behaviour, McMaster University (Hall), Hamilton, Ontario, Canada
| | - Benicio N Frey
- From the MiNDS Neuroscience Graduate Program, McMaster University (Syan, Frey, Kapczinski, Hall, Minuzzi); the Women's Health Concerns Clinic (Syan, Frey, Remtulla, Minuzzi); the Mood Disorders Program, St. Joseph's Healthcare (Frey, Kapczinski, Minuzzi); the Department of Psychiatry and Behavioural Neurosciences, McMaster University (Smith, Frey, Kapczinski, Minuzzi, Smith); and the Department of Psychology, Neuroscience and Behaviour, McMaster University (Hall), Hamilton, Ontario, Canada
| | - Raheem Remtulla
- From the MiNDS Neuroscience Graduate Program, McMaster University (Syan, Frey, Kapczinski, Hall, Minuzzi); the Women's Health Concerns Clinic (Syan, Frey, Remtulla, Minuzzi); the Mood Disorders Program, St. Joseph's Healthcare (Frey, Kapczinski, Minuzzi); the Department of Psychiatry and Behavioural Neurosciences, McMaster University (Smith, Frey, Kapczinski, Minuzzi, Smith); and the Department of Psychology, Neuroscience and Behaviour, McMaster University (Hall), Hamilton, Ontario, Canada
| | - Flavio Kapczinski
- From the MiNDS Neuroscience Graduate Program, McMaster University (Syan, Frey, Kapczinski, Hall, Minuzzi); the Women's Health Concerns Clinic (Syan, Frey, Remtulla, Minuzzi); the Mood Disorders Program, St. Joseph's Healthcare (Frey, Kapczinski, Minuzzi); the Department of Psychiatry and Behavioural Neurosciences, McMaster University (Smith, Frey, Kapczinski, Minuzzi, Smith); and the Department of Psychology, Neuroscience and Behaviour, McMaster University (Hall), Hamilton, Ontario, Canada
| | - Geoffrey B C Hall
- From the MiNDS Neuroscience Graduate Program, McMaster University (Syan, Frey, Kapczinski, Hall, Minuzzi); the Women's Health Concerns Clinic (Syan, Frey, Remtulla, Minuzzi); the Mood Disorders Program, St. Joseph's Healthcare (Frey, Kapczinski, Minuzzi); the Department of Psychiatry and Behavioural Neurosciences, McMaster University (Smith, Frey, Kapczinski, Minuzzi, Smith); and the Department of Psychology, Neuroscience and Behaviour, McMaster University (Hall), Hamilton, Ontario, Canada
| | - Luciano Minuzzi
- From the MiNDS Neuroscience Graduate Program, McMaster University (Syan, Frey, Kapczinski, Hall, Minuzzi); the Women's Health Concerns Clinic (Syan, Frey, Remtulla, Minuzzi); the Mood Disorders Program, St. Joseph's Healthcare (Frey, Kapczinski, Minuzzi); the Department of Psychiatry and Behavioural Neurosciences, McMaster University (Smith, Frey, Kapczinski, Minuzzi, Smith); and the Department of Psychology, Neuroscience and Behaviour, McMaster University (Hall), Hamilton, Ontario, Canada
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Mitchell RH, Metcalfe AW, Islam AH, Toma S, Patel R, Fiksenbaum L, Korczak D, MacIntosh BJ, Goldstein BI. Sex differences in brain structure among adolescents with bipolar disorder. Bipolar Disord 2018; 20:448-458. [PMID: 29956452 DOI: 10.1111/bdi.12663] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
OBJECTIVES Bipolar disorder (BD) is twice as prevalent amongst female as amongst male adolescents. Thus far, little is known regarding the neurostructural substrates underlying this disparity. We therefore examined sex differences in neurostructural magnetic resonane imaging (MRI) phenotypes amongst adolescents with BD. METHODS T1-weighted structural MRI was acquired from 44 BD (25 female [F] and 19 male [M]) and 58 (28 F and 30 M) healthy control (HC) adolescents (13-21 years old). Whole-brain and region-of-interest (ROI) analyses examined structural volume and cortical thickness using FreeSurfer. ROIs included the ventrolateral prefrontal cortex (vlPFC), anterior cingulate cortex (ACC), amygdala and hippocampus. General linear models evaluated sex-by-diagnosis interactions, controlling for age and intracranial volume. RESULTS Whole-brain analysis revealed sex-by-diagnosis interactions in the left supramarginal gyrus (SMG) (P = .02, η2 = 0.02) and right inferior parietal lobule (IPL) volumes (P = .04, η2 = 0.01). Sex differences in HCs were found in the SMG (M > F) and IPL (F > M). In BD, sex differences were reversed and of smaller magnitude in the SMG (M < F) and of greater magnitude in the IPL (F > M), driven by trends towards smaller SMG and IPL in BD vs HC male participants (P = .05 and .14). Whole-brain analyses for cortical thickness, and ROI analyses for volume and cortical thickness, were not significant. CONCLUSIONS Normative sex differences may be disrupted in adolescent BD in the SMG and IPL, heteromodal association network hubs responsible for higher order integration of cognitive and emotional processing. Unexpectedly, these findings may inform our understanding of aberrant brain structure in adolescent BD male patients, rather than female patients. Future work should focus on replication, as well as the impact of puberty status and sex hormones on measures of brain structure and function.
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Affiliation(s)
- Rachel Hb Mitchell
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada
| | - Arron Ws Metcalfe
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, Canada
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Alvi H Islam
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Pharmacology, University of Toronto, Toronto, Canada
| | - Simina Toma
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Ronak Patel
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, Canada
- Institute of Medical Science, University of Toronto, Toronto, Canada
| | - Lisa Fiksenbaum
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Daphne Korczak
- Department of Psychiatry, University of Toronto, Toronto, Canada
- Department of Psychiatry, Hospital for Sick Children, Toronto, Canada
| | - Bradley J MacIntosh
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
- Physical Sciences, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Benjamin I Goldstein
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Pharmacology, University of Toronto, Toronto, Canada
- Institute of Medical Science, University of Toronto, Toronto, Canada
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241
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Li L, Ji E, Tang F, Qiu Y, Han X, Zhang S, Zhang Z, Yang H. Abnormal brain activation during emotion processing of euthymic bipolar patients taking different mood stabilizers. Brain Imaging Behav 2018; 13:905-913. [DOI: 10.1007/s11682-018-9915-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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242
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Psychopathological characteristics and adverse childhood events are differentially associated with suicidal ideation and suicidal acts in mood disorders. Eur Psychiatry 2018; 53:31-36. [DOI: 10.1016/j.eurpsy.2018.05.009] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2018] [Revised: 05/20/2018] [Accepted: 05/23/2018] [Indexed: 02/06/2023] Open
Abstract
AbstractBackground:Depression is an important risk factor for suicide. However, other dimensions may contribute to the suicidal risk and to the transition from ideas to acts. We aimed to test the relative involvement of hopelessness, temperament, childhood trauma, and aggression in suicide risk in a large sample of patients with mood disorders.Methods:We assessed 306 patients with major depressive and bipolar disorders for clinical characteristics including hopelessness, temperament, childhood trauma, and aggression. We tested their associations with suicidal ideation and acts using standard univariate/bivariate methods, followed by multivariate logistic regression models.Results:In multivariate analyses, the loss of expectations subscore of the hopelessness scale was associated with lifetime suicidal ideation but not suicide attempt. Childhood emotional abuse, severity of current depression, and female gender were associated with lifetime suicide attempts, whereas hyperthymic temperament was protective. Only hyperthymic temperament differentiated patients with a history of suicidal ideas vs. those with a history of suicide attempt.Conclusions:Findings support the association of hopelessness with suicidal ideation and point to considering in suicidal acts not only depression, but also childhood emotional abuse, hyperthymic temperament, and gender.
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Johnson CP, Christensen GE, Fiedorowicz JG, Mani M, Shaffer JJ, Magnotta VA, Wemmie JA. Alterations of the cerebellum and basal ganglia in bipolar disorder mood states detected by quantitative T1ρ mapping. Bipolar Disord 2018; 20:381-390. [PMID: 29316081 PMCID: PMC5995598 DOI: 10.1111/bdi.12581] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Accepted: 10/21/2017] [Indexed: 01/20/2023]
Abstract
OBJECTIVES Quantitative mapping of T1 relaxation in the rotating frame (T1ρ) is a magnetic resonance imaging technique sensitive to pH and other cellular and microstructural factors, and is a potentially valuable tool for identifying brain alterations in bipolar disorder. Recently, this technique identified differences in the cerebellum and cerebral white matter of euthymic patients vs healthy controls that were consistent with reduced pH in these regions, suggesting an underlying metabolic abnormality. The current study built upon this prior work to investigate brain T1ρ differences across euthymic, depressed, and manic mood states of bipolar disorder. METHODS Forty participants with bipolar I disorder and 29 healthy control participants matched for age and gender were enrolled. Participants with bipolar disorder were imaged in one or more mood states, yielding 27, 12, and 13 imaging sessions in euthymic, depressed, and manic mood states, respectively. Three-dimensional, whole-brain anatomical images and T1ρ maps were acquired for all participants, enabling voxel-wise evaluation of T1ρ differences between bipolar mood state and healthy control groups. RESULTS All three mood state groups had increased T1ρ relaxation times in the cerebellum compared to the healthy control group. Additionally, the depressed and manic groups had reduced T1ρ relaxation times in and around the basal ganglia compared to the control and euthymic groups. CONCLUSIONS The study implicated the cerebellum and basal ganglia in the pathophysiology of bipolar disorder and its mood states, the roles of which are relatively unexplored. These findings motivate further investigation of the underlying cause of the abnormalities, and the potential role of altered metabolic activity in these regions.
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Affiliation(s)
| | - Gary E. Christensen
- Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA,Department of Radiation Oncology, University of Iowa, Iowa City, IA
| | - Jess G. Fiedorowicz
- Department of Psychiatry, University of Iowa, Iowa City, IA,Department of Epidemiology, University of Iowa, Iowa City, IA,Department of Internal Medicine, University of Iowa, Iowa City, IA,Abboud Cardiovascular Research Center, University of Iowa, Iowa City, IA
| | - Merry Mani
- Department of Radiology, University of Iowa, Iowa City, IA
| | | | - Vincent A. Magnotta
- Department of Radiology, University of Iowa, Iowa City, IA,Department of Psychiatry, University of Iowa, Iowa City, IA,Pappajohn Biomedical Institute, University of Iowa, Iowa City, IA,Iowa Neuroscience Institute, University of Iowa, Iowa City, IA,Department of Biomedical Engineering, University of Iowa, Iowa City, IA,Corresponding Authors: Vincent A. Magnotta, PhD, L311 PBDB, 169 Newton Road, Iowa City, IA 52242, Tel: 319-335-5482, Fax: 319-353-6275, ; John A. Wemmie, MD, PhD, 1314 PBDB, 169 Newton Road, Iowa City, IA 52242, Tel: 319-384-3174, Fax: 319-384-3176,
| | - John A. Wemmie
- Department of Psychiatry, University of Iowa, Iowa City, IA,Pappajohn Biomedical Institute, University of Iowa, Iowa City, IA,Iowa Neuroscience Institute, University of Iowa, Iowa City, IA,Department of Molecular Physiology and Biophysics, University of Iowa, Iowa City, IA,Department of Neurosurgery, University of Iowa, Iowa City, IA,Veterans Affairs Medical Center, Iowa City, IA,Corresponding Authors: Vincent A. Magnotta, PhD, L311 PBDB, 169 Newton Road, Iowa City, IA 52242, Tel: 319-335-5482, Fax: 319-353-6275, ; John A. Wemmie, MD, PhD, 1314 PBDB, 169 Newton Road, Iowa City, IA 52242, Tel: 319-384-3174, Fax: 319-384-3176,
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Malhi GS, Outhred T, Das P, Morris G, Hamilton A, Mannie Z. Modeling suicide in bipolar disorders. Bipolar Disord 2018; 20:334-348. [PMID: 29457330 DOI: 10.1111/bdi.12622] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Accepted: 01/17/2018] [Indexed: 12/17/2022]
Abstract
INTRODUCTION Suicide is a multicausal human behavior, with devastating and immensely distressing consequences. Its prevalence is estimated to be 20-30 times greater in patients with bipolar disorders than in the general population. The burden of suicide and its high prevalence in bipolar disorders make it imperative that our current understanding be improved to facilitate prediction of suicide and its prevention. In this review, we provide a new perspective on the process of suicide in bipolar disorder, in the form of a novel integrated model that is derived from extant knowledge and recent evidence. METHODS A literature search of articles on suicide in bipolar disorder was conducted in recognized databases such as Scopus, PubMed, and PsycINFO using the keywords "suicide", "suicide in bipolar disorders", "suicide process", "suicide risk", "neurobiology of suicide" and "suicide models". Bibliographies of identified articles were further scrutinized for papers and book chapters of relevance. RESULTS Risk factors for suicide in bipolar disorders are well described, and provide a basis for a framework of epigenetic mechanisms, moderated by neurobiological substrates, neurocognitive functioning, and social inferences within the environment. Relevant models and theories include the diathesis-stress model, the bipolar model of suicide and the ideation-to-action models, the interpersonal theory of suicide, the integrated motivational-volitional model, and the three-step theory. Together, these models provide a basis for the generation of an integrated model that illuminates the suicidal process, from ideation to action. CONCLUSION Suicide is complex, and it is evident that a multidimensional and integrated approach is required to reduce its prevalence. The proposed model exposes and provides access to components of the suicide process that are potentially measurable and may serve as novel and specific therapeutic targets for interventions in the context of bipolar disorder. Thus, this model is useful not only for research purposes, but also for future real-world clinical practice.
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Affiliation(s)
- Gin S Malhi
- Academic Department of Psychiatry, Northern Sydney Local Health District, St Leonards, NSW, Australia.,Sydney Medical School Northern, University of Sydney, Sydney, NSW, Australia.,CADE Clinic, Royal North Shore Hospital, Northern Sydney Local Health District, St Leonards, NSW, Australia
| | - Tim Outhred
- Academic Department of Psychiatry, Northern Sydney Local Health District, St Leonards, NSW, Australia.,Sydney Medical School Northern, University of Sydney, Sydney, NSW, Australia.,CADE Clinic, Royal North Shore Hospital, Northern Sydney Local Health District, St Leonards, NSW, Australia
| | - Pritha Das
- Academic Department of Psychiatry, Northern Sydney Local Health District, St Leonards, NSW, Australia.,Sydney Medical School Northern, University of Sydney, Sydney, NSW, Australia.,CADE Clinic, Royal North Shore Hospital, Northern Sydney Local Health District, St Leonards, NSW, Australia
| | - Grace Morris
- Academic Department of Psychiatry, Northern Sydney Local Health District, St Leonards, NSW, Australia.,Sydney Medical School Northern, University of Sydney, Sydney, NSW, Australia.,CADE Clinic, Royal North Shore Hospital, Northern Sydney Local Health District, St Leonards, NSW, Australia
| | - Amber Hamilton
- Academic Department of Psychiatry, Northern Sydney Local Health District, St Leonards, NSW, Australia.,Sydney Medical School Northern, University of Sydney, Sydney, NSW, Australia.,CADE Clinic, Royal North Shore Hospital, Northern Sydney Local Health District, St Leonards, NSW, Australia
| | - Zola Mannie
- Academic Department of Psychiatry, Northern Sydney Local Health District, St Leonards, NSW, Australia.,CADE Clinic, Royal North Shore Hospital, Northern Sydney Local Health District, St Leonards, NSW, Australia
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245
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Soehner AM, Goldstein TR, Gratzmiller SM, Phillips ML, Franzen PL. Cognitive control under stressful conditions in transitional age youth with bipolar disorder: Diagnostic and sleep-related differences in fronto-limbic activation patterns. Bipolar Disord 2018; 20:238-247. [PMID: 29441653 PMCID: PMC6002960 DOI: 10.1111/bdi.12583] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Revised: 10/09/2017] [Accepted: 10/21/2017] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Adults with bipolar disorder (BD) display aberrant activation in fronto-limbic neural circuitry during cognitive control. However, fronto-limbic response to cognitive control, and factors destabilizing this circuitry, remain under-studied during the transition from adolescence to young adulthood in BD. Sleep patterns are disturbed in BD, undergo change in adolescence, and support brain function. Among transitional age youth, BD diagnosis and sleep (duration and variability) were tested as predictors of fronto-limbic response to a stressful cognitive control task. METHODS Two groups of youth (13-22 years old) participated: 15 with BD type I, II or not otherwise specified (NOS) [BD; age 18.1 ± 2.7 years (mean ± standard deviation, SD); 17 female] and 25 healthy controls [CTL; age 19.4 ± 2.7 years (mean ± SD); 17 female]. Sleep was monitored with actigraphy for at least 1 week prior to an adaptive multi-source interference functional magnetic resonance imaging (fMRI) paradigm (a Stroop-like cognitive interference task). Group status and sleep duration (average and intra-individual variability) were examined as predictors of activation in response to incongruent>congruent trials within the bilateral amygdala, anterior cingulate (ACC), ventrolateral prefrontal and dorsolateral prefrontal cortical regions of interest. RESULTS The BD group displayed greater right amygdala activation than the CTL group. Average sleep duration and rostroventral ACC (rvACC) activity were negatively associated in the CTL group, but exhibited a quadratic relationship in the BD group such that short and long sleep were related to greater rvACC activation. Sleep duration variability and dorsal ACC activity were negatively associated in the BD group, and unrelated in the CTL group. Findings remained significant after controlling for age, sex, and mood symptoms. CONCLUSIONS Subjects with BD displayed a hyper-limbic response during cognitive control, and sleep was a source of variability in ACC engagement. Stabilizing sleep may be one avenue for improving cognitive control in BD.
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Affiliation(s)
- Adriane M. Soehner
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Tina R. Goldstein
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Sarah M. Gratzmiller
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Mary L. Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Peter L. Franzen
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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Increased sensitivity to positive social stimuli in monozygotic twins at risk of bipolar vs. unipolar disorder. J Affect Disord 2018; 232:212-218. [PMID: 29499503 DOI: 10.1016/j.jad.2018.02.055] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Revised: 02/12/2018] [Accepted: 02/19/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND Abnormalities in affective cognition are putative endophenotypes for bipolar and unipolar disorders but it is unclear whether some abnormalities are disorder-specific. We therefore investigated affective cognition in monozygotic twins at familial risk of bipolar disorder relative to those at risk of unipolar disorder and to low-risk twins. METHODS Seventy monozygotic twins with a co-twin history of bipolar disorder (n = 11), of unipolar disorder (n = 38) or without co-twin history of affective disorder (n = 21) were included. Variables of interest were recognition of and vigilance to emotional faces, emotional reactivity and -regulation in social scenarios and non-affective cognition. RESULTS Twins at familial risk of bipolar disorder showed increased recognition of low to moderate intensity of happy facial expressions relative to both unipolar disorder high-risk twins and low-risk twins. Bipolar disorder high-risk twins also displayed supraliminal attentional avoidance of happy faces compared with unipolar disorder high-risk twins and greater emotional reactivity in positive and neutral social scenarios and less reactivity in negative social scenarios than low-risk twins. In contrast with our hypothesis, there was no negative bias in unipolar disorder high-risk twins. There were no differences between the groups in demographic characteristics or non-affective cognition. LIMITATIONS The modest sample size limited the statistical power of the study. CONCLUSIONS Increased sensitivity and reactivity to positive social stimuli may be a neurocognitive endophenotype that is specific for bipolar disorder. If replicated in larger samples, this 'positive endophenotype' could potentially aid future diagnostic differentiation between unipolar and bipolar disorder.
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Sani G, Simonetti A, Janiri D, Banaj N, Ambrosi E, De Rossi P, Ciullo V, Arciniegas DB, Piras F, Spalletta G. Association between duration of lithium exposure and hippocampus/amygdala volumes in type I bipolar disorder. J Affect Disord 2018; 232:341-348. [PMID: 29510351 DOI: 10.1016/j.jad.2018.02.042] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Revised: 01/17/2018] [Accepted: 02/16/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND Prior studies on the effects of lithium on limbic and subcortical gray matter volumes are mixed. It is possible that discrepant findings may be explained by the duration of lithium exposure. We investigated this issue in individuals with type I bipolar disorder (BP-I). METHODS Limbic and subcortical gray matter volume was measured using FreeSurfer in 60 subjects: 15 with BP-I without prior lithium exposure [no-exposure group (NE)]; 15 with BP-I and lithium exposure < 24 months [short-exposure group (SE)]; 15 with BP-I and lithium exposure > 24 months [long-exposure group (LE)]; and 15 healthy controls (HC). RESULTS No differences in limbic and subcortical gray matter volumes were found between LE and HC. Hippocampal and amygdalar volumes were larger bilaterally in both LE and HC when compared to NE. Amygdalar volumes were larger bilaterally in SE when compared to NE but did not differ from LE. Hippocampal volumes were smaller bilaterally in SE when compared to LE and HC but did not differ from NE. No between-group differences on subcortical gray matter or other limbic structure volumes were observed. LIMITATIONS Cross-sectional design and concurrent treatment with other medications limit attribution of between-group differences to lithium exposure alone. CONCLUSIONS The effect of lithium exposure on limbic and subcortical gray matter volumes appears to be time-dependent and relatively specific to the hippocampus and the amygdala, with short-term effects on the amygdala and long-term effects on both structures. These results support the clinical importance of long-term lithium treatment in BP-I.
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Affiliation(s)
- Gabriele Sani
- NESMOS Department (Neurosciences, Mental Health, and Sensory Organs), Sapienza University of Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Rome, Italy; Centro Lucio Bini, Rome, Italy; School of Medicine, Mood Disorder Program, Tufts University, Boston, MA, USA
| | - Alessio Simonetti
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy; Centro Lucio Bini, Rome, Italy; Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Delfina Janiri
- Psychiatry Residency Training Program, Faculty of Medicine and Psychology, Sapienza University of Rome, Italy
| | - Nerisa Banaj
- IRCCS Santa Lucia Foundation, Laboratory of Neuropsychiatry, Rome, Italy
| | - Elisa Ambrosi
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA; IRCCS Santa Lucia Foundation, Laboratory of Neuropsychiatry, Rome, Italy
| | - Pietro De Rossi
- NESMOS Department (Neurosciences, Mental Health, and Sensory Organs), Sapienza University of Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Rome, Italy; Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - Valentina Ciullo
- IRCCS Santa Lucia Foundation, Laboratory of Neuropsychiatry, Rome, Italy; Neurosciences, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, 50139 Italy
| | - David B Arciniegas
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA; Departments of Neurology and Psychiatry, University of Colorado School of Medicine, Aurora, CO, USA
| | - Fabrizio Piras
- IRCCS Santa Lucia Foundation, Laboratory of Neuropsychiatry, Rome, Italy
| | - Gianfranco Spalletta
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA; IRCCS Santa Lucia Foundation, Laboratory of Neuropsychiatry, Rome, Italy.
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Yep R, Soncin S, Brien DC, Coe BC, Marin A, Munoz DP. Using an emotional saccade task to characterize executive functioning and emotion processing in attention-deficit hyperactivity disorder and bipolar disorder. Brain Cogn 2018; 124:1-13. [PMID: 29698907 DOI: 10.1016/j.bandc.2018.04.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2017] [Revised: 04/11/2018] [Accepted: 04/15/2018] [Indexed: 01/02/2023]
Abstract
Despite distinct diagnostic criteria, attention-deficit hyperactivity disorder (ADHD) and bipolar disorder (BD) share cognitive and emotion processing deficits that complicate diagnoses. The goal of this study was to use an emotional saccade task to characterize executive functioning and emotion processing in adult ADHD and BD. Participants (21 control, 20 ADHD, 20 BD) performed an interleaved pro/antisaccade task (look toward vs. look away from a visual target, respectively) in which the sex of emotional face stimuli acted as the cue to perform either the pro- or antisaccade. Both patient groups made more direction (erroneous prosaccades on antisaccade trials) and anticipatory (saccades made before cue processing) errors than controls. Controls exhibited lower microsaccade rates preceding correct anti- vs. prosaccade initiation, but this task-related modulation was absent in both patient groups. Regarding emotion processing, the ADHD group performed worse than controls on neutral face trials, while the BD group performed worse than controls on trials presenting faces of all valence. These findings support the role of fronto-striatal circuitry in mediating response inhibition deficits in both ADHD and BD, and suggest that such deficits are exacerbated in BD during emotion processing, presumably via dysregulated limbic system circuitry involving the anterior cingulate and orbitofrontal cortex.
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Affiliation(s)
- Rachel Yep
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.
| | - Stephen Soncin
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada
| | - Donald C Brien
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada
| | - Brian C Coe
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada
| | - Alina Marin
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada; Department of Psychiatry, Hotel Dieu Hospital, Kingston, ON, Canada
| | - Douglas P Munoz
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada; Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada.
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Moser DA, Doucet GE, Lee WH, Rasgon A, Krinsky H, Leibu E, Ing A, Schumann G, Rasgon N, Frangou S. Multivariate Associations Among Behavioral, Clinical, and Multimodal Imaging Phenotypes in Patients With Psychosis. JAMA Psychiatry 2018; 75. [PMID: 29516092 PMCID: PMC5875357 DOI: 10.1001/jamapsychiatry.2017.4741] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
IMPORTANCE Alterations in multiple neuroimaging phenotypes have been reported in psychotic disorders. However, neuroimaging measures can be influenced by factors that are not directly related to psychosis and may confound the interpretation of case-control differences. Therefore, a detailed characterization of the contribution of these factors to neuroimaging phenotypes in psychosis is warranted. OBJECTIVE To quantify the association between neuroimaging measures and behavioral, health, and demographic variables in psychosis using an integrated multivariate approach. DESIGN, SETTING, AND PARTICIPANTS This imaging study was conducted at a university research hospital from June 26, 2014, to March 9, 2017. High-resolution multimodal magnetic resonance imaging data were obtained from 100 patients with schizophrenia, 40 patients with bipolar disorder, and 50 healthy volunteers; computed were cortical thickness, subcortical volumes, white matter fractional anisotropy, task-related brain activation (during working memory and emotional recognition), and resting-state functional connectivity. Ascertained in all participants were nonimaging measures pertaining to clinical features, cognition, substance use, psychological trauma, physical activity, and body mass index. The association between imaging and nonimaging measures was modeled using sparse canonical correlation analysis with robust reliability testing. MAIN OUTCOMES AND MEASURES Multivariate patterns of the association between nonimaging and neuroimaging measures in patients with psychosis and healthy volunteers. RESULTS The analyses were performed in 92 patients with schizophrenia (23 female [25.0%]; mean [SD] age, 27.0 [7.6] years), 37 patients with bipolar disorder (12 female [32.4%]; mean [SD] age, 27.5 [8.1] years), and 48 healthy volunteers (20 female [41.7%]; mean [SD] age, 29.8 [8.5] years). The imaging and nonimaging data sets showed significant covariation (r = 0.63, P < .001), which was independent of diagnosis. Among the nonimaging variables examined, age (r = -0.53), IQ (r = 0.36), and body mass index (r = -0.25) were associated with multiple imaging phenotypes; cannabis use (r = 0.23) and other substance use (r = 0.33) were associated with subcortical volumes, and alcohol use was associated with white matter integrity (r = -0.15). Within the multivariate models, positive symptoms retained associations with the global neuroimaging (r = -0.13), the cortical thickness (r = -0.22), and the task-related activation variates (r = -0.18); negative symptoms were mostly associated with measures of subcortical volume (r = 0.23), and depression/anxiety was associated with measures of white matter integrity (r = 0.12). CONCLUSIONS AND RELEVANCE Multivariate analyses provide a more accurate characterization of the association between brain alterations and psychosis because they enable the modeling of other key factors that influence neuroimaging phenotypes.
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Affiliation(s)
- Dominik A. Moser
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Gaelle E. Doucet
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Won Hee Lee
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Alexander Rasgon
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Hannah Krinsky
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Evan Leibu
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Alex Ing
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Gunter Schumann
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Natalie Rasgon
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, California,Center for Neuroscience in Women’s Health, Stanford University, Palo Alto, California
| | - Sophia Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
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Hibar DP, Westlye LT, Doan NT, Jahanshad N, Cheung JW, Ching CRK, Versace A, Bilderbeck AC, Uhlmann A, Mwangi B, Krämer B, Overs B, Hartberg CB, Abé C, Dima D, Grotegerd D, Sprooten E, Bøen E, Jimenez E, Howells FM, Delvecchio G, Temmingh H, Starke J, Almeida JRC, Goikolea JM, Houenou J, Beard LM, Rauer L, Abramovic L, Bonnin M, Ponteduro MF, Keil M, Rive MM, Yao N, Yalin N, Najt P, Rosa PG, Redlich R, Trost S, Hagenaars S, Fears SC, Alonso-Lana S, van Erp TGM, Nickson T, Chaim-Avancini TM, Meier TB, Elvsåshagen T, Haukvik UK, Lee WH, Schene AH, Lloyd AJ, Young AH, Nugent A, Dale AM, Pfennig A, McIntosh AM, Lafer B, Baune BT, Ekman CJ, Zarate CA, Bearden CE, Henry C, Simhandl C, McDonald C, Bourne C, Stein DJ, Wolf DH, Cannon DM, Glahn DC, Veltman DJ, Pomarol-Clotet E, Vieta E, Canales-Rodriguez EJ, Nery FG, Duran FLS, Busatto GF, Roberts G, Pearlson GD, Goodwin GM, Kugel H, Whalley HC, Ruhe HG, Soares JC, Fullerton JM, Rybakowski JK, Savitz J, Chaim KT, Fatjó-Vilas M, Soeiro-de-Souza MG, Boks MP, Zanetti MV, Otaduy MCG, Schaufelberger MS, Alda M, Ingvar M, Phillips ML, Kempton MJ, Bauer M, Landén M, Lawrence NS, van Haren NEM, Horn NR, Freimer NB, Gruber O, Schofield PR, Mitchell PB, Kahn RS, Lenroot R, Machado-Vieira R, Ophoff RA, Sarró S, Frangou S, Satterthwaite TD, Hajek T, Dannlowski U, Malt UF, Arolt V, Gattaz WF, Drevets WC, Caseras X, Agartz I, Thompson PM, Andreassen OA. Cortical abnormalities in bipolar disorder: an MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group. Mol Psychiatry 2018; 23:932-942. [PMID: 28461699 PMCID: PMC5668195 DOI: 10.1038/mp.2017.73] [Citation(s) in RCA: 440] [Impact Index Per Article: 73.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Revised: 02/04/2017] [Accepted: 02/10/2017] [Indexed: 12/13/2022]
Abstract
Despite decades of research, the pathophysiology of bipolar disorder (BD) is still not well understood. Structural brain differences have been associated with BD, but results from neuroimaging studies have been inconsistent. To address this, we performed the largest study to date of cortical gray matter thickness and surface area measures from brain magnetic resonance imaging scans of 6503 individuals including 1837 unrelated adults with BD and 2582 unrelated healthy controls for group differences while also examining the effects of commonly prescribed medications, age of illness onset, history of psychosis, mood state, age and sex differences on cortical regions. In BD, cortical gray matter was thinner in frontal, temporal and parietal regions of both brain hemispheres. BD had the strongest effects on left pars opercularis (Cohen's d=-0.293; P=1.71 × 10-21), left fusiform gyrus (d=-0.288; P=8.25 × 10-21) and left rostral middle frontal cortex (d=-0.276; P=2.99 × 10-19). Longer duration of illness (after accounting for age at the time of scanning) was associated with reduced cortical thickness in frontal, medial parietal and occipital regions. We found that several commonly prescribed medications, including lithium, antiepileptic and antipsychotic treatment showed significant associations with cortical thickness and surface area, even after accounting for patients who received multiple medications. We found evidence of reduced cortical surface area associated with a history of psychosis but no associations with mood state at the time of scanning. Our analysis revealed previously undetected associations and provides an extensive analysis of potential confounding variables in neuroimaging studies of BD.
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Affiliation(s)
- D P Hibar
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA,Janssen Research & Development, San Diego, CA, USA
| | - L T Westlye
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway,Department of Psychology, University of Oslo, Oslo, Norway
| | - N T Doan
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - N Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA
| | - J W Cheung
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA
| | - C R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA,Neuroscience Interdepartmental Graduate Program, University of California, Los Angeles, Los Angeles, CA, USA
| | - A Versace
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - A C Bilderbeck
- University Department of Psychiatry and Oxford Health NHS Foundation Trust, University of Oxford, Oxford, UK
| | - A Uhlmann
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa,MRC Unit on Anxiety and Stress Disorders, Groote Schuur Hospital (J-2), University of Cape Town, Cape Town, South Africa
| | - B Mwangi
- UT Center of Excellence on Mood Disorders, Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - B Krämer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - B Overs
- Neuroscience Research Australia, Sydney, NSW, Australia
| | - C B Hartberg
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - C Abé
- Department of Clinical Neuroscience, Osher Centre, Karolinska Institutet, Stockholm, Sweden
| | - D Dima
- Department of Psychology, City University London, London, UK,Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - D Grotegerd
- Department of Psychiatry, University of Münster, Münster, Germany
| | - E Sprooten
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - E Bøen
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - E Jimenez
- Hospital Clinic, IDIBAPS, University of Barcelona, CIBERSAM, Barcelona, Spain
| | - F M Howells
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - G Delvecchio
- IRCCS "E. Medea" Scientific Institute, San Vito al Tagliamento, Italy
| | - H Temmingh
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - J Starke
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - J R C Almeida
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - J M Goikolea
- Hospital Clinic, IDIBAPS, University of Barcelona, CIBERSAM, Barcelona, Spain
| | - J Houenou
- INSERM U955 Team 15 ‘Translational Psychiatry’, University Paris East, APHP, CHU Mondor, Fondation FondaMental, Créteil, France,NeuroSpin, UNIACT Lab, Psychiatry Team, CEA Saclay, Gif Sur Yvette, France
| | - L M Beard
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - L Rauer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - L Abramovic
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - M Bonnin
- Hospital Clinic, IDIBAPS, University of Barcelona, CIBERSAM, Barcelona, Spain
| | - M F Ponteduro
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - M Keil
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - M M Rive
- Program for Mood Disorders, Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - N Yao
- Department of Psychiatry, Yale University, New Haven, CT, USA,Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - N Yalin
- Centre for Affective Disorders, King’s College London, London, UK
| | - P Najt
- 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
| | - P G Rosa
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - R Redlich
- Department of Psychiatry, University of Münster, Münster, Germany
| | - S Trost
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - S Hagenaars
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - S C Fears
- Department of Psychiatry, University of California, Los Angeles, Los Angeles, CA, USA,West Los Angeles Veterans Administration, Los Angeles, CA, USA
| | - S Alonso-Lana
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - T G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - T Nickson
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - T M Chaim-Avancini
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - T B Meier
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, USA,Laureate Institute for Brain Research, Tulsa, OK, USA
| | - T Elvsåshagen
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - U K Haukvik
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Adult Psychiatry, University of Oslo, Oslo, Norway
| | - W H Lee
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - A H Schene
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands,Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - A J Lloyd
- Academic Psychiatry and Northern Centre for Mood Disorders, Newcastle University/Northumberland Tyne & Wear NHS Foundation Trust, Newcastle, UK
| | - A H Young
- Centre for Affective Disorders, King’s College London, London, UK
| | - A Nugent
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - A M Dale
- MMIL, Department of Radiology, University of California San Diego, San Diego, CA, USA,Department of Cognitive Science, Neurosciences and Psychiatry, University of California, San Diego, San Diego, CA, USA
| | - A Pfennig
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - B Lafer
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - B T Baune
- Department of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - C J Ekman
- Department of Clinical Neuroscience, Osher Centre, Karolinska Institutet, Stockholm, Sweden
| | - C A Zarate
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - C E Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA,Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - C Henry
- INSERM U955 Team 15 ‘Translational Psychiatry’, University Paris East, APHP, CHU Mondor, Fondation FondaMental, Créteil, France,Institut Pasteur, Unité Perception et Mémoire, Paris, France
| | - C Simhandl
- Bipolar Center Wiener Neustadt, Wiener Neustadt, Austria
| | - C 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
| | - C Bourne
- University Department of Psychiatry and Oxford Health NHS Foundation Trust, University of Oxford, Oxford, UK,Department of Psychology & Counselling, Newman University, Birmingham, UK
| | - D J Stein
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa,MRC Unit on Anxiety and Stress Disorders, Groote Schuur Hospital (J-2), University of Cape Town, Cape Town, South Africa
| | - D H Wolf
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - D 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
| | - D C Glahn
- Department of Psychiatry, Yale University, New Haven, CT, USA,Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - D J Veltman
- Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands
| | - E Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - E Vieta
- Hospital Clinic, IDIBAPS, University of Barcelona, CIBERSAM, Barcelona, Spain
| | - E J Canales-Rodriguez
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - F G Nery
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - F L S Duran
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - G F Busatto
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - G Roberts
- School of Psychiatry and Black Dog Institute, University of New South Wales, Sydney, NSW, Australia
| | - G D Pearlson
- Department of Psychiatry, Yale University, New Haven, CT, USA,Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - G M Goodwin
- University Department of Psychiatry and Oxford Health NHS Foundation Trust, University of Oxford, Oxford, UK
| | - H Kugel
- Department of Clinical Radiology, University of Münster, Münster, Germany
| | - H C Whalley
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - H G Ruhe
- University Department of Psychiatry and Oxford Health NHS Foundation Trust, University of Oxford, Oxford, UK,Program for Mood Disorders, Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands,Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - J C Soares
- UT Center of Excellence on Mood Disorders, Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - J M Fullerton
- Neuroscience Research Australia, Sydney, NSW, Australia,School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - J K Rybakowski
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Poznan, Poland
| | - J Savitz
- Laureate Institute for Brain Research, Tulsa, OK, USA,Faculty of Community Medicine, The University of Tulsa, Tulsa, OK, USA
| | - K T Chaim
- Department of Radiology, University of São Paulo, São Paulo, Brazil,LIM44-Laboratory of Magnetic Resonance in Neuroradiology, University of São Paulo, São Paulo, Brazil
| | - M Fatjó-Vilas
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - M G Soeiro-de-Souza
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - M P Boks
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - M V Zanetti
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - M C G Otaduy
- Department of Radiology, University of São Paulo, São Paulo, Brazil,LIM44-Laboratory of Magnetic Resonance in Neuroradiology, University of São Paulo, São Paulo, Brazil
| | - M S Schaufelberger
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil
| | - M Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - M Ingvar
- Department of Clinical Neuroscience, Osher Centre, Karolinska Institutet, Stockholm, Sweden,Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - M L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - M J Kempton
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - M Bauer
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - M Landén
- Department of Clinical Neuroscience, Osher Centre, Karolinska Institutet, Stockholm, Sweden,Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the Gothenburg University, Goteborg, Sweden
| | - N S Lawrence
- Department of Psychology, University of Exeter, Exeter, UK
| | - N E M van Haren
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - N R Horn
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - N B Freimer
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - O Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - P R Schofield
- Neuroscience Research Australia, Sydney, NSW, Australia,School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - P B Mitchell
- School of Psychiatry and Black Dog Institute, University of New South Wales, Sydney, NSW, Australia
| | - R S Kahn
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - R Lenroot
- Neuroscience Research Australia, Sydney, NSW, Australia,School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - R Machado-Vieira
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil,National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - R A Ophoff
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands,Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - S Sarró
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - S Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - T D Satterthwaite
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - T Hajek
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada,National Institute of Mental Health, Klecany, Czech Republic
| | - U Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - U F Malt
- Division of Clinical Neuroscience, Department of Research and Education, Oslo University Hospital, Oslo, Norway,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - V Arolt
- Department of Psychiatry, University of Münster, Münster, Germany
| | - W F Gattaz
- Department of Psychiatry, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - W C Drevets
- Janssen Research & Development, Titusville, NJ, USA
| | - X Caseras
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - I Agartz
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - P M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA
| | - O A Andreassen
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway,NORMENT, KG Jebsen Centre for Psychosis Research—TOP Study, Oslo University Hospital, Ullevål, Building 49, Kirkeveien 166, PO Box 4956, Nydalen, 0424, Oslo, Norway. E-mail:
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