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Duan G, Qin H, Lai Y, Zhang Q, Lai Z, Chen Y, Wu Y, Liu Z, Zhou K, Zhang Y, Li S, Lin S, Sun R, Ou Y, Liang X, Liang L, Chen Z, Deng D. Correlation of White Matter Microstructure MRI and Inflammatory Cytokine Alterations With Symptom Severity in Premenstrual Syndrome. J Magn Reson Imaging 2025; 61:2271-2280. [PMID: 39441549 DOI: 10.1002/jmri.29632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 09/25/2024] [Accepted: 09/26/2024] [Indexed: 10/25/2024] Open
Abstract
BACKGROUND Women with premenstrual syndrome (PMS) are at increased risk for depression throughout their lives. White matter (WM) microstructure and inflammatory cytokine alterations have been proposed in its etiology. PURPOSE To investigate whether WM, assessed using diffusion tensor imaging (DTI), and inflammatory cytokine levels are altered in PMS, and to examine the relationships between WM microstructure, inflammatory cytokines, and symptom severity. STUDY TYPE Prospective. SUBJECTS Forty-two PMS patients and 58 healthy controls (HCs), categorized according to the daily record of severity of problems (DRSP). FIELD STRENGTH/SEQUENCE 3-T, echo planar imaging DTI. ASSESSMENT Fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were measured by using tract-based spatial statistics (TBSS). Venous blood was collected to measure cytokines, including interleukin-1β (IL-1β) and tumor necrosis factor-α (TNF-α). Symptoms were assessed by using the DRSP. STATISTICAL TESTS Two-sample t test or Mann-Whitney U test were used to compare the DRSP and cytokines. Abnormal DTI metrics in WM were extracted and the differences between groups were analyzed by using two sample t-tests. Spearman's correlation (r) was used to assess the relationship between DTI metrics, cytokines, and DRSP. A P-value <0.05 with FDR correction was considered statistically significant. RESULTS Compared with HCs, PMS patients showed significantly lower FA in the corpus callosum and corona radiata, and significantly higher MD, AD, and RD in the corticospinal tract (CST), and significantly higher MD and RD in the anterior thalamic radiation (ATR). These differential metrics were significantly correlated with DRSP. Patients showed significantly higher IL-1β and TNF-α than HCs. Moreover, TNF-α correlated positively with MD, AD, and RD in both groups (r range, 0.256-0.315). DATA CONCLUSION Alterations of WM microstructure and IL-1β and TNF-α may be associated with PMS symptom severity, and TNF-α may correlate with DTI metrics of CST and ATR pathways. EVIDENCE LEVEL 1 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Gaoxiong Duan
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
| | - Haixia Qin
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
| | - YinQi Lai
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
| | - Qingping Zhang
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
| | - Ziyan Lai
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
| | - Ya Chen
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
| | - Yuejuan Wu
- Department of Neurology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
| | - Zhen Liu
- Department of Gynaecology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
| | - Kaixuan Zhou
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
| | - Yan Zhang
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
| | - Shanshan Li
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
| | - Shihuan Lin
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
| | - Ruijing Sun
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
| | - Yuanyuan Ou
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
| | - Xiaoli Liang
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
| | - Lingyan Liang
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
| | - Zhizhong Chen
- Joint Inspection Center of Precision Medicine, People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
| | - Demao Deng
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
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Zhang E, Hauson AO, Pollard AA, Zelman D, Ulibarri M, Kapalka G, Fortea L, Radua J. Lateralized white matter integrity changes across the lifespan in major depression: AES-SDM meta-analysis. Psychiatry Res Neuroimaging 2025; 348:111960. [PMID: 40048924 DOI: 10.1016/j.pscychresns.2025.111960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2024] [Revised: 01/19/2025] [Accepted: 02/05/2025] [Indexed: 03/15/2025]
Abstract
This meta-analysis examined white matter fractional anisotropy (FA) differences across the lifespan to better understand underlying neurobiological mechanisms of major depressive disorder (MDD). Using anisotropic effect size-based-signed differential mapping (AES-SDM), the study meta-analyzed 67 whole-brain FA voxel-based analysis (VBA) and tract-based spatial statistics (TBSS) studies. The sample included 3620 individuals with MDD and 3764 age-matched healthy controls, ranging from adolescence to older adulthood. AES-SDM uses anisotropic kernels combined with random-effects models and permutation tests to perform robust neuroimaging meta-analysis. Between-group analyses uncovered a lateralization effect: Adolescent and adult MDD were associated with left-hemisphere abnormalities, while older adult MDD was associated with right-hemisphere abnormalities. Specifically, MDD was associated with lower left anterior thalamic projection, left pons, left corticospinal projection, and left cingulum FA in adolescents; lower left optic radiation, left striatum, left cingulum, and left inferior longitudinal fasciculus FA in adults; and lower right anterior thalamic projection, right fronto-occipital fasciculus, right striatum, right superior longitudinal fasciculus, and left inferior longitudinal fasciculus FA in older adults. The laterality seen in the current data and previous research could potentially serve as biomarkers to improve diagnostic accuracy. It is recommended that future white matter MDD primary studies include more adolescents and older adults.
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Affiliation(s)
- Emily Zhang
- California School of Professional Psychology, Clinical Psychology PhD Program, San Diego, CA, USA; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINS.org), San Diego, CA, USA
| | - Alexander O Hauson
- California School of Professional Psychology, Clinical Psychology PhD Program, San Diego, CA, USA; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINS.org), San Diego, CA, USA; Department of Psychiatry, University of California San Diego, La Jolla, CA, USA; California School of Professional Psychology, Clinical Psychopharmacology MS Program, San Diego, CA, USA.
| | - Anna A Pollard
- California School of Professional Psychology, Clinical Psychology PhD Program, San Diego, CA, USA; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINS.org), San Diego, CA, USA
| | - Diane Zelman
- California School of Professional Psychology, Clinical Psychology PhD Program, San Francisco, CA, USA
| | - Monica Ulibarri
- California School of Professional Psychology, Clinical Psychology PhD Program, San Diego, CA, USA
| | - George Kapalka
- California School of Professional Psychology, Clinical Psychopharmacology MS Program, San Diego, CA, USA
| | - Lydia Fortea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Medicine, University of Barcelona, Barcelona, Spain; Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden; Department of Psychosis Studies, Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, United Kingdom
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Yu Y, Zhang T, Li Q, Song M, Qi L, Sun J, Ji G, Tian Y, Wang K. Distinction in the function and microstructure of white matter between major depressive disorder and generalized anxiety disorder. J Affect Disord 2025; 374:55-62. [PMID: 39793621 DOI: 10.1016/j.jad.2025.01.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Revised: 12/18/2024] [Accepted: 01/07/2025] [Indexed: 01/13/2025]
Abstract
BACKGROUND Major depressive disorder (MDD) and generalized anxiety disorder (GAD) are two of the leading causes of impairment to human mental health. These two psychiatric disorders overlap in many symptoms and neurobiological features thus difficult to distinguish in some cases. METHODS We enrolled 102 participants, comprising 40 patients with MDD, 32 patients with GAD and 30 matched healthy controls (HCs), to undergo multimodal magnetic resonance imaging (MRI) scans. We identified 18 major white matter (WM) tracts with automated fiber quantification (AFQ) method, to evaluated microstructure with fractional anisotropy (FA) and function with amplitude of low-frequency fluctuation (ALFF). An analysis of variance (ANOVA) was employed to identify differences among groups. We further explored the correlations of FA and ALFF features with clinical symptoms. RESULTS We identified the white matter microstructure and function of 89 participants. ANOVA and post-hoc analysis revealed that GAD group exhibited significantly higher FA of right anterior thalamic radiation (ATR) than in MDD and HC groups. Additionally, MDD group exhibited significantly decreased ALFF in forceps major (FMA), forceps minor (FMI), bilateral corticospinal tracts (CST) and left inferior fronto-occipital fasciculus (IFOF) compared to both GAD and HC group. ALFF of right CST was significantly negatively correlated to HAMA and a moderate effect size and marginal significance was found between FA of the right ATR and HAMA in GAD group. LIMITATIONS This study used cross-sectional data and sample size was small. CONCLUSION Tracking microstructure and function of WM with AFQ method has the potential to distinguish different psychiatric diseases.
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Affiliation(s)
- Yue Yu
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Ting Zhang
- Department of Psychology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Qianqian Li
- Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei 230601, China
| | - Mengyu Song
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Li Qi
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Jinmei Sun
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Gongjun Ji
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230032, China; School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei 230032, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei 230032, China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China
| | - Yanghua Tian
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei 230601, China; School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei 230032, China.
| | - Kai Wang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230032, China; School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei 230032, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei 230032, China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China
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Lyall LM, Stolicyn A, Lyall DM, Zhu X, Sangha N, Ward J, Strawbridge RJ, Cullen B, Smith DJ. Lifetime depression, sleep disruption and brain structure in the UK Biobank cohort. J Affect Disord 2025; 374:247-257. [PMID: 39719181 DOI: 10.1016/j.jad.2024.12.069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Revised: 12/17/2024] [Accepted: 12/18/2024] [Indexed: 12/26/2024]
Abstract
Whether depression and poor sleep interact or have statistically independent associations with brain structure and its change over time is not known. Within a subset of UK Biobank participants with neuroimaging and subjective and/or objective sleep data (n = 28,351), we examined associations between lifetime depression and sleep disruption, and their interaction with structural neuroimaging measures, both cross-sectionally and longitudinally. Sleep variables were: self-reported insomnia and difficulty getting up; actigraphy-derived short sleep (<7 h); sustained inactivity bouts during daytime (SIBD); and sleep efficiency. Imaging measures were white matter microstructure, subcortical volumes, cortical thickness and surface area of 24 cortical regions of interest. Individuals with lifetime depression (self-reported, mental health questionnaire or health records) were contrasted with healthy controls. Interactions between depression and difficulty getting up for i) right nucleus accumbens volume and ii) mean diffusivity of forceps minor, reflected a larger negative association of poor sleep in the presence vs. absence of depression. Depression was associated with widespread reductions in white matter integrity. Depression, higher SIBD and difficulty getting up were individually associated with smaller cortical volumes and surface area, particularly in the frontal and parietal lobes. Many regions showed age-related decline, but this was not exacerbated by either depression or sleep disturbance. Overall, we identified widespread cross-sectional associations of both lifetime depression and sleep measures with brain structure. Findings were more consistent with additive rather than synergistic effects - although in some regions we observed greater magnitude of deleterious associations from poor sleep phenotypes in the presence of depression.
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Affiliation(s)
- Laura M Lyall
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK; Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
| | - Aleks Stolicyn
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Donald M Lyall
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK; Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Xingxing Zhu
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Natasha Sangha
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK; Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Joey Ward
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Rona J Strawbridge
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK; Health Data Research, Glasgow, UK; Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden
| | - Breda Cullen
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Daniel J Smith
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
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Wu LC, Bells S, Tseng J, Narayanan S, Arnold DL, Yeh EA, Mabbott DJ. Associations between fronto-limbic white matter connections and internalizing symptoms in pediatric demyelinating disease. Mult Scler Relat Disord 2025; 95:106335. [PMID: 39987890 DOI: 10.1016/j.msard.2025.106335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2024] [Revised: 01/13/2025] [Accepted: 02/08/2025] [Indexed: 02/25/2025]
Abstract
INTRODUCTION Children with neuroinflammatory disorders, such as multiple sclerosis (MS), neuromyelitis optica spectrum disorder (NMOSD), and myelin oligodendrocyte glycoprotein-associated disorder (MOGAD), have high rates of anxiety and depression. These symptoms may be linked to disruptions in fronto-limbic white matter (WM) tracts, including the cingulum bundle (CB), inferior fronto-occipital fasciculus (IFOF), and uncinate fasciculus (UF), which support emotional regulation. METHODS We studied 33 children with neuroinflammatory disorders and 28 healthy controls. Diffusion tensor imaging and white matter tract integrity maps were generated, focusing on WM tracts of interest (CB, IFOF, UF) and a control tract (acoustic radiation). We examined differences in WM microstructure and internalizing symptoms between high and low symptom groups. RESULTS Participants with MS (40%), MOGAD (28%), and NMOSD (25%) reported high levels of internalizing symptoms. MOGAD participants showed lower axonal water fraction compared to MS and controls. Both MS and MOGAD groups exhibited reduced intra-axonal diffusivity and increased extra-axonal diffusivity, indicating demyelination and axonal changes. No significant differences were found between high and low internalizing groups, but higher relapse rates were linked to less WM disruption in those with high internalizing symptoms. LIMITATIONS The cross-sectional design limits causal interpretations, and medical covariates may affect WM structure. CONCLUSION Neuroinflammatory disorders are linked to fronto-limbic WM changes and high internalizing symptoms. Relapse may influence WM structure and psychological resilience in this population.
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Affiliation(s)
- Liliana C Wu
- Department of Psychology, University of Toronto, Toronto, Canada; Neurosciences and Mental Health Program, Research Institute, Hospital for Sick Children, Toronto, Canada
| | - Sonya Bells
- Neurosciences and Mental Health Program, Research Institute, Hospital for Sick Children, Toronto, Canada; Pediatric Neurology, Spectrum Health Helen Devos Children's Hospital, Grand Rapids, USA; Department of Pediatrics and Human Development, Michigan State University, East Lansing, USA
| | - Julie Tseng
- Neurosciences and Mental Health Program, Research Institute, Hospital for Sick Children, Toronto, Canada
| | - Sridar Narayanan
- Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - Douglas L Arnold
- Department of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada
| | - E Ann Yeh
- Neurosciences and Mental Health Program, Research Institute, Hospital for Sick Children, Toronto, Canada; Department of Neurology, Hospital for Sick Children, Toronto, Canada; Department of Paediatrics, University of Toronto, Toronto, Canada
| | - Donald J Mabbott
- Neurosciences and Mental Health Program, Research Institute, Hospital for Sick Children, Toronto, Canada.
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Sisk LM, Keding TJ, Cohodes EM, McCauley S, Pierre JC, Odriozola P, Kribakaran S, Haberman JT, Zacharek SJ, Hodges HR, Caballero C, Gold G, Huang AY, Talton A, Gee DG. Multivariate links between the developmental timing of adversity exposure and white matter tract connectivity in adulthood. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2025:S2451-9022(25)00060-6. [PMID: 39978462 DOI: 10.1016/j.bpsc.2025.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2024] [Revised: 01/17/2025] [Accepted: 02/10/2025] [Indexed: 02/22/2025]
Abstract
BACKGROUND Early-life adversity is pervasive worldwide and represents a potent risk factor for increased mental health burden across the lifespan. However, there is substantial individual heterogeneity in associations between adversity exposure, neurobiological changes, and mental health problems. Accounting for key features of adversity such as the developmental timing of exposure may clarify associations between adversity, neurodevelopment, and mental health. METHODS The present study leverages sparse canonical correlation analysis to characterize modes of covariation between adversity exposure across development and the connectivity of white matter tracts throughout the brain in a sample of 107 adults. RESULTS We found that adversity exposure during preschool-age and middle childhood (ages 4-5 and 8 in particular) were consistently linked across diffusion metrics with alterations in white matter tract connectivity. Whereas tracts supporting sensorimotor functions displayed higher connectivity with higher preschool-age and middle childhood adversity exposure, tracts supporting cortico-cortical communication displayed lower connectivity. Further, latent patterns of tract connectivity linked with adversity experienced across preschool-age and middle childhood (ages 3-8) were associated with post-traumatic stress symptoms in adulthood. CONCLUSIONS Our findings underscore that adversity exposure may differentially affect white matter in a function- and developmental-timing specific manner and suggest that adversity experienced between ages 3-8 may shape the development of white matter tracts across the brain in ways that are relevant for mental health in adulthood.
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Affiliation(s)
- Lucinda M Sisk
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Taylor J Keding
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Emily M Cohodes
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Sarah McCauley
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Jasmyne C Pierre
- Department of Psychology, The City College of New York, New York, NY, USA
| | - Paola Odriozola
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Sahana Kribakaran
- Department of Psychology, Yale University, New Haven, CT, USA; Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT, USA
| | | | - Sadie J Zacharek
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Hopewell R Hodges
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | | | - Gillian Gold
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Audrey Y Huang
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Ashley Talton
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Dylan G Gee
- Department of Psychology, Yale University, New Haven, CT, USA.
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Shakeel MK, Metzak PD, Lasby M, Long X, Souza R, Bray S, Goldstein BI, MacQueen G, Wang J, Kennedy SH, Addington J, Lebel C. Brain connectomes in youth at risk for serious mental illness: a longitudinal perspective. Brain Imaging Behav 2025; 19:82-98. [PMID: 39511103 DOI: 10.1007/s11682-024-00953-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/25/2024] [Indexed: 11/15/2024]
Abstract
Identifying biomarkers for serious mental illnesses (SMI) has significant implications for prevention and early intervention. In the current study, changes in whole brain structural and functional connectomes were investigated in youth at transdiagnostic risk over a one-year period. Based on clinical assessments, participants were assigned to one of 5 groups: healthy controls (HC; n = 33), familial risk for serious mental illness (stage 0; n = 31), mild symptoms (stage 1a; n = 37), attenuated syndromes (stage 1b; n = 61), or discrete disorder (transition; n = 9). Constrained spherical deconvolution was used to generate whole brain tractography maps, which were then used to calculate connectivity matrices for graph theory analysis. Graph theory was also used to analyze correlations of functional magnetic resonance imaging (fMRI) signal between pairs of brain regions. Linear mixed models revealed structural and functional abnormalities in global metrics of small world lambda, and resting state networks involving the fronto-parietal, default mode, and deep grey matter networks, along with the visual and dorsal attention networks. Machine learning analysis additionally identified changes in nodal metrics of betweenness centrality in the angular gyrus and bilateral temporal gyri as potential features which can discriminate between the groups. Our findings further support the view that abnormalities in large scale networks (particularly those involving fronto-parietal, temporal, default mode, and deep grey matter networks) may underlie transdiagnostic risk for SMIs.
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Affiliation(s)
- Mohammed K Shakeel
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.
- Department of Psychology, St.Mary's University, Calgary, AB, Canada.
- Mathison Centre, 3280 Hospital Dr NW, Calgary, AB, T2N 4Z6, Canada.
| | - Paul D Metzak
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Mike Lasby
- Department of Electrical and Software Engineering, University of Calgary, Calgary, AB, Canada
| | - Xiangyu Long
- Department of Radiology, University of Calgary, Calgary, AB, Canada
- Department of Radiology, Alberta Children's Hospital Research Institute, Calgary, AB, Canada
- Department of Radiology, Child and Adolescent Imaging Research Program, Calgary, AB, Canada
| | - Roberto Souza
- Department of Electrical and Software Engineering, University of Calgary, Calgary, AB, Canada
| | - Signe Bray
- Department of Radiology, University of Calgary, Calgary, AB, Canada
- Department of Radiology, Alberta Children's Hospital Research Institute, Calgary, AB, Canada
- Department of Radiology, Child and Adolescent Imaging Research Program, Calgary, AB, Canada
| | - Benjamin I Goldstein
- Centre for Youth Bipolar Disorder, Center for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Pharmacology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Glenda MacQueen
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - JianLi Wang
- Department of Community Health and Epidemiology, Faculty of Medicine, Dalhousie University, Nova Scotia, Canada
| | - Sidney H Kennedy
- Department of Psychiatry, University Health Network, Toronto, ON, Canada
- Department of Psychiatry, St. Michael's Hospital, Toronto, ON, Canada
- Arthur Sommer Rotenberg Chair in Suicide and Depression Studies, St. Michael's Hospital, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada
- Krembil Research Institute, University Health Network, Toronto, ON, Canada
| | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Catherine Lebel
- Department of Radiology, University of Calgary, Calgary, AB, Canada
- Department of Radiology, Alberta Children's Hospital Research Institute, Calgary, AB, Canada
- Department of Radiology, Child and Adolescent Imaging Research Program, Calgary, AB, Canada
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Quattrini G, Carcione A, Lanfredi M, Nicolò G, Pedrini L, Corbo D, Magni LR, Geviti A, Ferrari C, Gasparotti R, Semerari A, Pievani M, Rossi R. Effect of metacognitive interpersonal therapy on brain structural connectivity in borderline personality disorder: Results from the CLIMAMITHE randomized clinical trial. J Affect Disord 2025; 369:1145-1152. [PMID: 39454963 DOI: 10.1016/j.jad.2024.10.107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 09/16/2024] [Accepted: 10/19/2024] [Indexed: 10/28/2024]
Abstract
BACKGROUND Recently, we showed that Metacognitive Interpersonal Therapy (MIT) is effective in improving clinical symptoms in borderline personality disorder (BPD). Here, we investigated whether the effect of MIT on clinical features is associated to microstructural changes in brain circuits supporting core BPD symptoms. METHODS Forty-seven BPD were randomized to MIT or structured clinical management, and underwent a clinical assessment and diffusion-weighted imaging before and after the intervention. Fractional anisotropy (FA), mean, radial, and axial diffusivities maps were computed using FSL toolbox. Microstructural changes were assessed (i) voxel-wise, with tract based spatial statistics (TBSS) and (ii) ROI-wise, in the triple network system (default mode, salience, and executive control networks). The effect of MIT on brain microstructure was assessed with paired tests using FSL PALM (voxel-wise), Linear Mixed-Effect Models or Generalized Linear Mixed Models (ROI-wise). Associations between microstructural and clinical changes were explored with linear regression (voxel-wise) and correlations (ROI-wise). RESULTS The voxel-wise analysis showed that MIT was associated with increased FA in the bilateral thalamic radiation and left associative tracts (p < .050, family-wise error rate corrected). At network system level, MIT increased FA and both interventions reduced AD in the executive control network (p = .05, uncorrected). LIMITATIONS The DTI metrics can't clarify the nature of axonal changes. CONCLUSIONS Our results indicate that MIT modulates brain structural connectivity in circuits related to associative and executive control functions. These microstructural changes may denote activity-dependent plasticity, possibly representing a neurobiological mechanism underlying MIT effects. TRIAL REGISTRATION ClinicalTrials.govNCT02370316 (https://clinicaltrials.gov/study/NCT02370316).
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Affiliation(s)
- Giulia Quattrini
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | | | - Mariangela Lanfredi
- Unit of Psychiatry, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | | | - Laura Pedrini
- Unit of Psychiatry, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Daniele Corbo
- Neuroradiology Unit, Department of Medical and Surgical Specialities, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
| | - Laura R Magni
- Clinical Psychology Unit, Mental Health and Addiction Department, ASST Brianza, Vimercate, MB, Italy
| | - Andrea Geviti
- Unit of Statistics, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Clarissa Ferrari
- Unit of Research and Clinical Trials, Fondazione Poliambulanza Istituto Ospedaliero, Brescia, Italy
| | - Roberto Gasparotti
- Neuroradiology Unit, Department of Medical and Surgical Specialities, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
| | | | - Michela Pievani
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
| | - Roberta Rossi
- Unit of Psychiatry, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
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9
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Demers CH, Hankin BL, Haase MH, Todd E, Hoffman MC, Epperson CN, Styner MA, Davis EP. Maternal adverse childhood experiences and infant visual-limbic white matter development. J Affect Disord 2024; 367:49-57. [PMID: 39191307 DOI: 10.1016/j.jad.2024.08.146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 08/06/2024] [Accepted: 08/23/2024] [Indexed: 08/29/2024]
Abstract
BACKGROUND Maternal adverse childhood experiences (ACEs) are robust predictors of mental health for both the exposed individual and the next generation; however, the pathway through which such intergenerational risk is conferred remains unknown. The current study evaluated the association between maternal ACEs and infant brain development, including an a priori focus on circuits implicated in emotional and sensory processing. METHODS The sample included 101 mother-infant dyads from a longitudinal study. Maternal ACEs were assessed with the Adverse Childhood Questionnaire dichotomized into low (0 or 1) and high (≥2) groups. White matter microstructure, as indexed by fractional anisotropy (FA), was assessed using structural magnetic resonance imaging in infants (41.6-46.0 weeks' postconceptional age) within a priori tracts (the cingulum, fornix, uncinate, inferior frontal occipital fasciculus, and inferior longitudinal fasciculus). Exploratory analyses were also conducted across the whole brain. RESULTS High maternal ACEs (≥2) were associated with decreased infant left inferior longitudinal fasciculus (ILF) FA (F(1,94) = 7.78, p < .006) relative to infants of low ACE mothers. No group difference was observed within the right ILF following correction for multiple comparisons (F(1,95) = 4.29, p < .041). Follow-up analyses within the left ILF demonstrated associations between high maternal ACEs and increased left radial diffusivity (F(1,95) = 5.10, p < .006). Exploratory analyses demonstrated preliminary support for differences in visual processing networks (e.g., optic tract) as well as additional circuits less frequently examined in the context of early life adversity exposure (e.g., corticothalamic tract). CONCLUSIONS Maternal ACEs predict neural circuit development of the inferior longitudinal fasciculus. Findings suggest that early developing sensory circuits within the infant brain are susceptible to maternal adverse childhood experiences and may have implications for the maturation of higher-order emotional and cognitive circuits.
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Affiliation(s)
- Catherine H Demers
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, United States of America; Department of Psychology, University of Denver, Denver, CO, United States of America.
| | - Benjamin L Hankin
- Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, United States of America
| | - Mercedes Hoeflich Haase
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America
| | - Erin Todd
- Department of Psychology, University of Denver, Denver, CO, United States of America
| | - M Camille Hoffman
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, United States of America; Department of Obstetrics and Gynecology, Division of Maternal and Fetal Medicine, University of Colorado Denver School of Medicine, Aurora, CO, United States of America
| | - C Neill Epperson
- Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, United States of America
| | - Martin A Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America; Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America
| | - Elysia Poggi Davis
- Department of Psychology, University of Denver, Denver, CO, United States of America; Department of Psychiatry and Human Behavior, University of California, Irvine, CA, United States of America
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10
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van Velzen LS, Colic L, Ceja Z, Dauvermann MR, Villa LM, Savage HS, Toenders YJ, Dehestani N, Zhu AH, Campos AI, Salminen LE, Agartz I, Alexander N, Ayesa-Arriola R, Ballard ED, Banaj N, Barkhau C, Başgöze Z, Bauer J, Benedetti F, Berger K, Besteher B, Brosch K, Canal-Rivero M, Cervenka S, Colle R, Connolly CG, Corruble E, Courtet P, Couvy-Duchesne B, Crespo-Facorro B, Cullen KR, Dannlowski U, Deverdun J, Diaz-Zuluaga AM, Dietze LM, Evans JW, Fani N, Flinkenflügel K, Friedman NP, Gotlib IH, Groenewold NA, Grotegerd D, Hajek T, Hatoum AS, Hermesdorf M, Hickie IB, Hirano Y, Ho TC, Ikemizu Y, Iorfino F, Ipser JC, Isobe Y, Jackowski AP, Jollant F, Kircher T, Klug M, Koopowitz SM, Kraus A, Krug A, Le Bars E, Leehr EJ, Li M, Lippard ET, Lopez-Jaramillo C, Maximov II, McIntosh AM, McLaughlin KA, McWhinney SR, Meinert S, Melloni E, Mitchell PB, Mwangi B, Nenadić I, Nerland S, Olie E, Ortiz-García de la Foz V, Pan PM, Pereira F, Piras F, Piras F, Poletti S, Reineberg AE, Roberts G, Romero-García R, Sacchet MD, Salum GA, Sandu AL, Sellgren CM, Shimizu E, Smolker HR, Soares JC, Spalletta G, Douglas Steele J, Stein F, Stein DJ, Straube B, Teutenberg L, Thomas-Odenthal F, Usemann P, et alvan Velzen LS, Colic L, Ceja Z, Dauvermann MR, Villa LM, Savage HS, Toenders YJ, Dehestani N, Zhu AH, Campos AI, Salminen LE, Agartz I, Alexander N, Ayesa-Arriola R, Ballard ED, Banaj N, Barkhau C, Başgöze Z, Bauer J, Benedetti F, Berger K, Besteher B, Brosch K, Canal-Rivero M, Cervenka S, Colle R, Connolly CG, Corruble E, Courtet P, Couvy-Duchesne B, Crespo-Facorro B, Cullen KR, Dannlowski U, Deverdun J, Diaz-Zuluaga AM, Dietze LM, Evans JW, Fani N, Flinkenflügel K, Friedman NP, Gotlib IH, Groenewold NA, Grotegerd D, Hajek T, Hatoum AS, Hermesdorf M, Hickie IB, Hirano Y, Ho TC, Ikemizu Y, Iorfino F, Ipser JC, Isobe Y, Jackowski AP, Jollant F, Kircher T, Klug M, Koopowitz SM, Kraus A, Krug A, Le Bars E, Leehr EJ, Li M, Lippard ET, Lopez-Jaramillo C, Maximov II, McIntosh AM, McLaughlin KA, McWhinney SR, Meinert S, Melloni E, Mitchell PB, Mwangi B, Nenadić I, Nerland S, Olie E, Ortiz-García de la Foz V, Pan PM, Pereira F, Piras F, Piras F, Poletti S, Reineberg AE, Roberts G, Romero-García R, Sacchet MD, Salum GA, Sandu AL, Sellgren CM, Shimizu E, Smolker HR, Soares JC, Spalletta G, Douglas Steele J, Stein F, Stein DJ, Straube B, Teutenberg L, Thomas-Odenthal F, Usemann P, Valabregue R, Valencia-Echeverry J, Wagner G, Waiter G, Walter M, Whalley HC, Wu MJ, Yang TT, Zarate CA, Zugman A, Zunta-Soares GB, van Heeringen K, van Rooij SJ, van der Wee N, van der Werff S, Thompson PM, Blumberg HP, van Harmelen AL, Rentería ME, Jahanshad N, Schmaal L. Transdiagnostic alterations in white matter microstructure associated with suicidal thoughts and behaviours in the ENIGMA Suicidal Thoughts and Behaviours consortium. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.11.07.24316876. [PMID: 39802789 PMCID: PMC11722476 DOI: 10.1101/2024.11.07.24316876] [Show More Authors] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/21/2025]
Abstract
Previous studies have suggested that alterations in white matter (WM) microstructure are implicated in suicidal thoughts and behaviours (STBs). However, findings of diffusion tensor imaging (DTI) studies have been inconsistent. In this large-scale mega-analysis conducted by the ENIGMA Suicidal Thoughts and Behaviours (ENIGMA-STB) consortium, we examined WM alterations associated with STBs. Data processing was standardised across sites, and resulting WM microstructure measures (fractional anisotropy, axial diffusivity, mean diffusivity and radial diffusivity) for 25 WM tracts were pooled across 40 cohorts. We compared these measures among individuals with a psychiatric diagnosis and lifetime history of suicide attempt (n=652; mean age=35.4±14.7; female=71.8%), individuals with a psychiatric diagnosis but no STB (i.e., clinical controls; n=1871; mean age=34±14.8; female=59.8%), and individuals with no mental disorder diagnosis and no STB (i.e., healthy controls; n=642; mean age=29.6±13.1; female=62.9%). We also compared these measures among individuals with recent suicidal ideation (n=714; mean age=36.3±15.3; female=66.1%), clinical controls (n=1184; mean age=36.8±15.6; female=63.1%), and healthy controls (n=1240; mean age= 31.6±15.5; female=61.0%). We found subtle but statistically significant effects, such as lower fractional anisotropy associated with a history of suicide attempt, over and above the effect of psychiatric diagnoses. These effects were strongest in the corona radiata, thalamic radiation, fornix/stria terminalis, corpus callosum and superior longitudinal fasciculus. Effect sizes were small (Cohen's d < 0.25). Recent suicidal ideation was not associated with alterations in WM microstructure. This large-scale coordinated mega-analysis revealed subtle regional and global alterations in WM microstructure in individuals with a history of suicide attempt. Longitudinal studies are needed to confirm whether these alterations are a risk factor for suicidal behaviour.
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Affiliation(s)
- Laura S. van Velzen
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Lejla Colic
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- DZPG (German Center for Mental Health), partner site Halle/Jena/Magdeburg
| | - Zuriel Ceja
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Maria R. Dauvermann
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Luca M. Villa
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Hannah S. Savage
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Victoria, Australia
| | - Yara J. Toenders
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, the Netherlands
| | - Niousha Dehestani
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Victoria, Australia
- School of Psychology, Deakin University, Victoria, Australia
| | - Alyssa H. Zhu
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | | | - Lauren E. Salminen
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Nina Alexander
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Rosa Ayesa-Arriola
- Department of Psychiatry. Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain
| | - Elizabeth D. Ballard
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda MD, USA
| | - Nerisa Banaj
- Laboratory of Neuropsychiatry, Clinical Neuroscience and Neurorehabilitation Department, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Carlotta Barkhau
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Zeynep Başgöze
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Jochen Bauer
- Clinic for Radiology, University Hospital Münster, Münster, Germany
| | - Francesco Benedetti
- Division of Neuroscience, Psychiatry and Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Bianca Besteher
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- DZPG (German Center for Mental Health), partner site Halle/Jena/Magdeburg
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg, Marburg, Germany
- Institute of Behavioral Sciences, Feinstein Institutes for Medical Research, Manhasset, NY, USA
| | - Manuel Canal-Rivero
- Instituto de Biomedicina de Sevilla (IBiS)/HUVR/CSIC/Universidad de Sevilla. CIBERSAM (ISCIII)
- Mental Health Service, Hospital Universitario Virgen del Rocío, Sevilla, Spain
| | - Simon Cervenka
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
- Department of Medical Sciences, Psychiatry, Uppsala University, Uppsala, Sweden
| | - Romain Colle
- MOODS Team, INSERM 1018, CESP, Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris-Saclay, Hôpital de Bicêtre, Le Kremlin Bicêtre, F-94275, France
| | - Colm G. Connolly
- Department of Biomedical Sciences, Florida State University, Tallahassee, FL
| | - Emmanuelle Corruble
- MOODS Team, INSERM 1018, CESP, Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris-Saclay, Hôpital de Bicêtre, Le Kremlin Bicêtre, F-94275, France
| | - Philippe Courtet
- Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, CHU Montpellier, Montpellier, France
- IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France
| | - Baptiste Couvy-Duchesne
- Institute for Molecular Bioscience, the University of Queensland, St Lucia, QLD, Australia
- Sorbonne University, Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, F-75013, Paris, France
| | - Benedicto Crespo-Facorro
- Instituto de Biomedicina de Sevilla (IBiS)/HUVR/CSIC/Universidad de Sevilla. CIBERSAM (ISCIII)
- Mental Health Service, Hospital Universitario Virgen del Rocío, Sevilla, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III (CIBERSAM), Madrid, Spain
| | - Kathryn R Cullen
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Jeremy Deverdun
- Institut d’Imagerie Fonctionnelle Humaine, I2FH, Department of Neuroradiology, Gui de Chauliac Hospital and University of Montpellier, Montpellier, France
- Department of Neuroradiology, Gui de Chauliac Hospital and University of Montpellier, Montpellier, France
| | - Ana M. Diaz-Zuluaga
- Center for Neurobehavioral Genetics,Semel Institute for Neuroscience and Behavior David Geffen School of Medicine, University of California Los Angeles
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellin, Columbia
| | | | - Jennifer W Evans
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda MD, USA
| | - Negar Fani
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, Georgia, USA
| | - Kira Flinkenflügel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Naomi P. Friedman
- Institute for Behavioral Genetics and Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Ian H. Gotlib
- Department of Psychology, Stanford University, Stanford, CA 94305 USA
| | - Nynke A. Groenewold
- Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Alexander S. Hatoum
- Department of Psychological & Brain Sciences, Washington University in St. Louis
| | - Marco Hermesdorf
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | | | - Yoshiyuki Hirano
- Research Center for Child Mental Development, Chiba University
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University, Chiba University and University of Fukui
| | - Tiffany C. Ho
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
- Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Yuki Ikemizu
- Research Center for Child Mental Development, Chiba University
- Department of Cognitive Behavioral Physiology, Graduate School of Medicine, Chiba University
| | | | - Jonathan C. Ipser
- Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Yuko Isobe
- Research Center for Child Mental Development, Chiba University
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University, Chiba University and University of Fukui
| | - Andrea P. Jackowski
- Østfold University College Department of Education, ICT and Learning, Halden, Norway
- Universidade Federal de São Paulo, Brazil
| | - Fabrice Jollant
- MOODS Team, INSERM 1018, CESP, Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris-Saclay, Hôpital de Bicêtre, Le Kremlin Bicêtre, F-94275, France
- Faculty of medicine, University Paris-Saclay & Bicetre hospital, APHP, Le Kremlin-Bicetre, France
- Department of psychiatry, CHU Nîmes, Nîmes, France
- Department of psychiatry, McGill University, Montreal, Canada
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Melissa Klug
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Sheri-Michelle Koopowitz
- Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Anna Kraus
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Department of Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Emmanuelle Le Bars
- Institut d’Imagerie Fonctionnelle Humaine, I2FH, Department of Neuroradiology, Gui de Chauliac Hospital and University of Montpellier, Montpellier, France
- Department of Neuroradiology, Gui de Chauliac Hospital and University of Montpellier, Montpellier, France
| | - Elisabeth J. Leehr
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Meng Li
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- DZPG (German Center for Mental Health), partner site Halle/Jena/Magdeburg
| | - Elizabeth T.C. Lippard
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas at Austin
- University of Texas at Austin
| | - Carlos Lopez-Jaramillo
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellin, Columbia
| | - Ivan I. Maximov
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Health and Functioning, Western Norway University of Applied Sciences, Bergen, Norway
| | - Andrew M. McIntosh
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Katie A. McLaughlin
- Ballmer Institute for Children’s Behavioral Health, University of Oregon
- Department of Psychology, Harvard University
| | | | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Elisa Melloni
- Division of Neuroscience, Psychiatry and Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Philip B. Mitchell
- Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Benson Mwangi
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston
- UTHealth Houston School of Behavioral Health Sciences
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Stener Nerland
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Emilie Olie
- Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, CHU Montpellier, Montpellier, France
- IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France
| | - Victor Ortiz-García de la Foz
- Department of Psychiatry. Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain
| | | | - Fabricio Pereira
- MIPA, Université de Nîmes, Nimes, France
- Division for clinical research and innovation, University Hospital Center of Nimes, Nimes, France
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, Clinical Neuroscience and Neurorehabilitation Department, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Federica Piras
- Laboratory of Neuropsychiatry, Clinical Neuroscience and Neurorehabilitation Department, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Sara Poletti
- Division of Neuroscience, Psychiatry and Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Andrew E. Reineberg
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Gloria Roberts
- Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Rafael Romero-García
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Instituto de Biomedicina de Sevilla (IBiS)/HUVR/CSIC/Universidad de Sevilla. CIBERSAM (ISCIII)
| | - Matthew D. Sacchet
- Meditation Research Program, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Giovanni A. Salum
- Child Mind Institute, New York
- Universidade Federal do Rio Grande do Sul, Hospital de Clinicas de Porto Alegre - Porto Alegre, Brazil
| | - Anca-Larisa Sandu
- Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, UK
| | - Carl M. Sellgren
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Eiji Shimizu
- Research Center for Child Mental Development, Chiba University
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University, Chiba University and University of Fukui
- Department of Cognitive Behavioral Physiology, Graduate School of Medicine, Chiba University
| | - Harry R. Smolker
- Institute for Cognitive Science, University of Colorado Boulder, Boulder, CO, USA
| | - Jair C. Soares
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston
- UTHealth Houston School of Behavioral Health Sciences
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, Clinical Neuroscience and Neurorehabilitation Department, Santa Lucia Foundation IRCCS, Rome, Italy
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - J. Douglas Steele
- Division of Imaging Science and Technology, Medical School, University of Dundee, Dundee UK
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Dan J. Stein
- SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town
| | - Benjamin Straube
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Lea Teutenberg
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Florian Thomas-Odenthal
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Paula Usemann
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain, and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Romain Valabregue
- Institut du Cerveau et de la Moelle épinière, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- Centre de Neuro-Imagerie de Recherche, CENIR, ICM, Paris, France
| | - Johanna Valencia-Echeverry
- Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellin, Columbia
| | - Gerd Wagner
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Jena-Magdeburg-Halle, Jena, Germany
| | - Gordon Waiter
- Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, UK
| | - Martin Walter
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- DZPG (German Center for Mental Health), partner site Halle/Jena/Magdeburg
- Department of Psychiatry and Psychotherapy, University Tübingen, Tübingen, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Heather C. Whalley
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Generation Scotland, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Mon-Ju Wu
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston
- UTHealth Houston School of Behavioral Health Sciences
| | - Tony T. Yang
- Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA
| | - Carlos A. Zarate
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda MD, USA
| | - Andre Zugman
- National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Giovana B. Zunta-Soares
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston
- UTHealth Houston School of Behavioral Health Sciences
| | | | - Sanne J.H. van Rooij
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, Georgia, USA
| | - Nic van der Wee
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition. Leiden University Medical Center, Leiden, The Netherlands
| | - Steven van der Werff
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition. Leiden University Medical Center, Leiden, The Netherlands
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Hilary P. Blumberg
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
- Child Study Center, Yale School of Medicine, New Haven, CT, USA
| | - Anne-Laura van Harmelen
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Education and Child Studies, Leiden University, Leiden, the Netherlands
| | - Miguel E. Rentería
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | | | - Lianne Schmaal
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
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11
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Jiang J, Ferraro S, Zhao Y, Wu B, Lin J, Chen T, Gao J, Li L. Common and divergent neuroimaging features in major depression, posttraumatic stress disorder, and their comorbidity. PSYCHORADIOLOGY 2024; 4:kkae022. [PMID: 39554694 PMCID: PMC11566235 DOI: 10.1093/psyrad/kkae022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2024] [Revised: 10/20/2024] [Accepted: 10/31/2024] [Indexed: 11/19/2024]
Abstract
Posttraumatic stress disorder (PTSD) and major depressive disorder (MDD) are common stress-related psychiatric disorders. Genetic and neurobiology research has supported the viewpoint that PTSD and MDD may possess common and disorder-specific underlying mechanisms. In this systematic review, we summarize evidence for the similarities and differences in brain functional and structural features of MDD, PTSD, and their comorbidity, as well as the effects of extensively used therapies in patients with comorbid PTSD and MDD (PTSD + MDD). These functional magnetic resonance imaging (MRI) studies highlight the (i) shared hypoactivation in the prefrontal cortex during cognitive and emotional processing in MDD and PTSD; (ii) higher activation in fear processing regions including amygdala, hippocampus, and insula in PTSD compared to MDD; and (iii) distinct functional deficits in brain regions involved in fear and reward processing in patients with PTSD + MDD relative to those with PTSD alone. These structural MRI studies suggested that PTSD and MDD share features of reduced volume in focal frontal areas. The treatment effects in patients with PTSD + MDD may correlate with the normalization trend of structural alterations. Neuroimaging predictors of repetitive transcranial magnetic stimulation response in patients with PTSD + MDD may differ from the mono-diagnostic groups. In summary, neuroimaging studies to date have provided limited information about the shared and disorder-specific features in MDD and PTSD. Further research is essential to pave the way for developing improved diagnostic markers and eventually targeted treatment approaches for the shared and distinct brain alterations presented in patients with MDD and PTSD.
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Affiliation(s)
- Jing Jiang
- Department of Radiology, The Affiliated Hospital of Southwest Jiao Tong University, The Third People's Hospital of Chengdu, Chengdu, Sichuan 610036, China
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Stefania Ferraro
- Department of Neuroradiology, Fondazione IRCCS Istituto Neurologico ‘Carlo Besta’, Via Celoria 11, Milan, 20133, Italy
- Clinical Hospital of the Chengdu Brain Science Institute, School of Life Science and Technology, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, Sichuan 610054, China
| | - Youjin Zhao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Baolin Wu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Jinping Lin
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Taolin Chen
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Jin Gao
- Department of Radiology, The Affiliated Hospital of Southwest Jiao Tong University, The Third People's Hospital of Chengdu, Chengdu, Sichuan 610036, China
| | - Lei Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
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12
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Kanel D, Fox NA, Pine DS, Zeanah CH, Nelson CA, McLaughlin KA, Sheridan MA. Altered associations between white matter structure and psychopathology in previously institutionalized adolescents. Dev Cogn Neurosci 2024; 69:101440. [PMID: 39241456 PMCID: PMC11405635 DOI: 10.1016/j.dcn.2024.101440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 07/24/2024] [Accepted: 08/24/2024] [Indexed: 09/09/2024] Open
Abstract
Previously institutionalized adolescents show increased risk for psychopathology, though placement into high-quality foster care can partially mitigate this risk. White matter (WM) structure is associated with early institutional rearing and psychopathology in youth. Here we investigate associations between WM structure and psychopathology in previously institutionalized youth. Adolescent psychopathology data were collected using the MacArthur Health and Behavior Questionnaire. Participants underwent diffusion MRI, and data were processed using fixel-based analyses. General linear models investigated interactions between institutionalization groups and psychopathology on fixel metrics. Supplementary analyses also examined the main effects of psychopathology and institutionalization group on fixel metrics. Ever-Institutionalized children included 41 randomized to foster care (Mage=16.6), and 40 to care-as-usual (Mage=16.7)). In addition, 33 participants without a history of institutionalization were included as a reference group (Mage=16.9). Ever-Institutionalized adolescents displayed altered general psychopathology-fixel associations within the cerebellar peduncles, inferior longitudinal fasciculi, corticospinal tract, and corpus callosum, and altered externalizing-fixel associations within the cingulum and fornix. Our findings indicate brain-behavior associations reported in the literature may not be generalizable to all populations. Previously institutionalized youth may develop differential brain development, which in turn leads to altered neural correlates of psychopathology that are still apparent in adolescence.
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Affiliation(s)
- Dana Kanel
- Department of Human Development, University of Maryland, United States; Emotion and Development Branch, National Institute of Mental Health, United States.
| | - Nathan A Fox
- Department of Human Development, University of Maryland, United States
| | - Daniel S Pine
- Emotion and Development Branch, National Institute of Mental Health, United States
| | - Charles H Zeanah
- Department of Psychiatry and Behavioral Sciences, Tulane University School of Medicine, United States
| | - Charles A Nelson
- Division of Developmental Medicine, Boston Children's Hospital, United States; Department of Pediatrics, Harvard Medical School, United States; Harvard Graduate School of Education, United States
| | | | - Margaret A Sheridan
- Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill, United States
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13
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Tomiyama H, Murayama K, Nemoto K, Kato K, Matsuo A, Kang M, Sashikata K, Togao O, Nakao T. No significant alteration in white matter microstructure in first-degree relatives of patients with obsessive-compulsive disorder. Psychiatry Res Neuroimaging 2024; 344:111884. [PMID: 39236485 DOI: 10.1016/j.pscychresns.2024.111884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Revised: 08/12/2024] [Accepted: 08/26/2024] [Indexed: 09/07/2024]
Abstract
Obsessive-compulsive disorder (OCD) is characterized by structural alteration within white matter tissues of cortico-striato-thalamo-cortical, temporal and occipital circuits. However, the presence of microstructural changes in the white matter tracts of unaffected first-degree relatives of patients with OCD as a vulnerability marker remains unclear. Therefore, here, diffusion-tensor magnetic resonance imaging (DTI) data were obtained from 29 first-degree relatives of patients with OCD and 59 healthy controls. We investigated the group differences in FA using whole-brain analysis (DTI analysis). For additional regions of interest (ROI) analysis, we focused on the posterior thalamic radiation and sagittal stratum, shown in recent meta-analysis of patients with OCD. In both whole-brain and ROI analyses, using a strict statistical threshold (family-wise error rate [FWE] corrected p<.05 for whole-brain analyses, and p<.0125 (0.05/4) with Bonferroni correction for ROI analyses), we found no significant group differences in FA. Subtle reductions were observed in the anterior corona radiata, forceps minor, cingulum bundle, and corpus callosum only when a lenient statistical was applied (FWE corrected p<.20). These findings suggest that alterations in the white matter microstructure of first-degree relatives, as potential vulnerability markers for OCD, are likely subtle.
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Affiliation(s)
- Hirofumi Tomiyama
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Japan
| | - Keitaro Murayama
- Department of Neuropsychiatry, Kyushu University Hospital, Japan.
| | - Kiyotaka Nemoto
- Department of Psychiatry, Faculty of Medicine, University of Tsukuba, Japan
| | - Kenta Kato
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Japan
| | - Akira Matsuo
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Japan
| | - Mingi Kang
- Department of Psychology, Kyushu University, Japan
| | | | - Osamu Togao
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Japan
| | - Tomohiro Nakao
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Japan
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14
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Cotter DL, Ahmadi H, Cardenas-Iniguez C, Bottenhorn KL, Gauderman WJ, McConnell R, Berhane K, Schwartz J, Hackman DA, Chen JC, Herting MM. Exposure to multiple ambient air pollutants changes white matter microstructure during early adolescence with sex-specific differences. COMMUNICATIONS MEDICINE 2024; 4:155. [PMID: 39090375 PMCID: PMC11294340 DOI: 10.1038/s43856-024-00576-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 07/09/2024] [Indexed: 08/04/2024] Open
Abstract
BACKGROUND Air pollution is ubiquitous, yet questions remain regarding its impact on the developing brain. Large changes occur in white matter microstructure across adolescence, with notable differences by sex. METHODS We investigate sex-stratified effects of annual exposure to fine particulate matter (PM2.5), nitrogen dioxide (NO2), and ozone (O3) at ages 9-10 years on longitudinal patterns of white matter microstructure over a 2-year period. Diffusion-weighted imaging was collected on 3T MRI scanners for 8182 participants (1-2 scans per subject; 45% with two scans) from the Adolescent Brain Cognitive Development (ABCD) Study®. Restriction spectrum imaging was performed to quantify intracellular isotropic (RNI) and directional (RND) diffusion. Ensemble-based air pollution concentrations were assigned to each child's primary residential address. Multi-pollutant, sex-stratified linear mixed-effect models assessed associations between pollutants and RNI/RND with age over time, adjusting for sociodemographic factors. RESULTS Here we show higher PM2.5 exposure is associated with higher RND at age 9 in both sexes, with no significant effects of PM2.5 on RNI/RND change over time. Higher NO2 exposure is associated with higher RNI at age 9 in both sexes, as well as attenuating RNI over time in females. Higher O3 exposure is associated with differences in RND and RNI at age 9, as well as changes in RND and RNI over time in both sexes. CONCLUSIONS Criteria air pollutants influence patterns of white matter maturation between 9-13 years old, with some sex-specific differences in the magnitude and anatomical locations of affected tracts. This occurs at concentrations that are below current U.S. standards, suggesting exposure to low-level pollution during adolescence may have long-term consequences.
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Affiliation(s)
- Devyn L Cotter
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Hedyeh Ahmadi
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carlos Cardenas-Iniguez
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Katherine L Bottenhorn
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Psychology, Florida International University, Miami, FL, USA
| | - W James Gauderman
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Rob McConnell
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Kiros Berhane
- Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Daniel A Hackman
- USC Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, USA
| | - Jiu-Chiuan Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Neurology, Keck School of Medicine of University of Southern California, Los Angeles, CA, USA
| | - Megan M Herting
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
- Children's Hospital Los Angeles, Los Angeles, CA, USA.
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15
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Kotov R, Carpenter WT, Cicero DC, Correll CU, Martin EA, Young JW, Zald DH, Jonas KG. Psychosis superspectrum II: neurobiology, treatment, and implications. Mol Psychiatry 2024; 29:1293-1309. [PMID: 38351173 PMCID: PMC11731826 DOI: 10.1038/s41380-024-02410-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 12/24/2023] [Accepted: 01/04/2024] [Indexed: 02/16/2024]
Abstract
Alternatives to traditional categorical diagnoses have been proposed to improve the validity and utility of psychiatric nosology. This paper continues the companion review of an alternative model, the psychosis superspectrum of the Hierarchical Taxonomy of Psychopathology (HiTOP). The superspectrum model aims to describe psychosis-related psychopathology according to data on distributions and associations among signs and symptoms. The superspectrum includes psychoticism and detachment spectra as well as narrow subdimensions within them. Auxiliary domains of cognitive deficit and functional impairment complete the psychopathology profile. The current paper reviews evidence on this model from neurobiology, treatment response, clinical utility, and measure development. Neurobiology research suggests that psychopathology included in the superspectrum shows similar patterns of neural alterations. Treatment response often mirrors the hierarchy of the superspectrum with some treatments being efficacious for psychoticism, others for detachment, and others for a specific subdimension. Compared to traditional diagnostic systems, the quantitative nosology shows an approximately 2-fold increase in reliability, explanatory power, and prognostic accuracy. Clinicians consistently report that the quantitative nosology has more utility than traditional diagnoses, but studies of patients with frank psychosis are currently lacking. Validated measures are available to implement the superspectrum model in practice. The dimensional conceptualization of psychosis-related psychopathology has implications for research, clinical practice, and public health programs. For example, it encourages use of the cohort study design (rather than case-control), transdiagnostic treatment strategies, and selective prevention based on subclinical symptoms. These approaches are already used in the field, and the superspectrum provides further impetus and guidance for their implementation. Existing knowledge on this model is substantial, but significant gaps remain. We identify outstanding questions and propose testable hypotheses to guide further research. Overall, we predict that the more informative, reliable, and valid characterization of psychopathology offered by the superspectrum model will facilitate progress in research and clinical care.
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Affiliation(s)
- Roman Kotov
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, NY, USA.
| | | | - David C Cicero
- Department of Psychology, University of North Texas, Denton, TX, USA
| | - Christoph U Correll
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Child and Adolescent Psychiatry, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Elizabeth A Martin
- Department of Psychological Science, University of California, Irvine, Irvine, CA, USA
| | - Jared W Young
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Research Service, VA San Diego Healthcare System, San Diego, CA, USA
| | - David H Zald
- Rutgers University, The State University of New Jersey, New Brunswick, NJ, USA
| | - Katherine G Jonas
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, NY, USA
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16
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Esteban-Cornejo I, Lara-Jimenez I, Rodriguez-Ayllon M, Verdejo-Roman J, Catena A, Erickson KI, Ortega FB. Early morning physical activity is associated with healthier white matter microstructure and happier children: the ActiveBrains project. Eur Child Adolesc Psychiatry 2024; 33:833-845. [PMID: 37058244 PMCID: PMC10894097 DOI: 10.1007/s00787-023-02197-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 03/10/2023] [Indexed: 04/15/2023]
Abstract
The background of this study is to examine the associations of individual and combined early morning patterns (i.e., active commuting to school, physical activity before school, having breakfast and good sleep) with white matter microstructure (WMM) and, whether the associated white mater microstructure outcomes were related to mental health outcomes in children with overweight or obesity. 103 children with overweight or obesity (10.0 ± 1.1 years old, 42 girls) from the ActiveBrains project participated in this cross-sectional study. Early morning patterns and mental health indicators (i.e., self-esteem, optimism, positive and negative affect, stress, depression and anxiety) were self-reported by the children using validated questionnaires. WMM was assessed by magnetic resonance imaging using diffusion tensor imaging. When examined independently, early morning patterns were not related with WMM (all P > 0.05). However, the combination of early morning patterns was related with WMM (P < 0.05). Specifically, physically active early morning patterns (i.e., active commuting to school and physical activity before school) were associated with global fractional anisotropy (FA) (β = 0.298, P = 0.013) and global radial diffusivity (RD) (β = - 0.272, P = 0.021), as well as with tract-specific FA (β = 0.314, P = 0.004) and RD (β = - 0.234, P = 0.032) in the superior longitudinal fasciculus (SLF). Furthermore, combined physically active early morning pattern-associated global (i.e., FA and RD) and tract-specific (i.e., FA and RD in the SLF) WMM indicators were positively associated with happiness (β absolute value range from 0.252 to 0.298, all P < 0.05). A combination of physically active early morning patterns may positively relate to white matter microstructure in children with overweight or obesity, and, in turn, happiness.
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Affiliation(s)
- Irene Esteban-Cornejo
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Carretera de Alfacar s/n, 18071, Granada, Spain.
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain.
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain.
| | - Inmaculada Lara-Jimenez
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Carretera de Alfacar s/n, 18071, Granada, Spain
| | - Maria Rodriguez-Ayllon
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Juan Verdejo-Roman
- Department of Personality, Assessment and Psychological Treatment, Mind, Brain and Behavior Research Center (CIMCYC), University of Granada, Granada, Spain
| | - Andres Catena
- Department of Experimental Psychology, University of Granada, Granada, Spain
| | - Kirk I Erickson
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Carretera de Alfacar s/n, 18071, Granada, Spain
- Department of Psychology, Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA, USA
- AdventHealth Research Institute, Neuroscience, Orlando, FL, USA
| | - Francisco B Ortega
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Carretera de Alfacar s/n, 18071, Granada, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyvaskyla, Finland
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17
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Cai LT, Brett BL, Palacios EM, Yuh EL, Bourla I, Wren-Jarvis J, Wang Y, Mac Donald C, Diaz-Arrastia R, Giacino JT, Okonkwo DO, Levin HS, Robertson CS, Temkin N, Markowitz AJ, Manley GT, Stein MB, McCrea MA, Zafonte RD, Nelson LD, Mukherjee P. Emotional Resilience Predicts Preserved White Matter Microstructure Following Mild Traumatic Brain Injury. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:164-175. [PMID: 36152948 PMCID: PMC10065831 DOI: 10.1016/j.bpsc.2022.08.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 08/12/2022] [Accepted: 08/31/2022] [Indexed: 01/31/2023]
Abstract
BACKGROUND Adult patients with mild traumatic brain injury (mTBI) exhibit distinct phenotypes of emotional and cognitive functioning identified by latent profile analysis of clinical neuropsychological assessments. When discerned early after injury, these latent clinical profiles have been found to improve prediction of long-term outcomes from mTBI. The present study hypothesized that white matter (WM) microstructure is better preserved in an emotionally resilient mTBI phenotype compared with a neuropsychiatrically distressed mTBI phenotype. METHODS The present study used diffusion magnetic resonance imaging to investigate and compare WM microstructure in major association, projection, and commissural tracts between the two phenotypes and over time. Diffusion magnetic resonance images from 172 patients with mTBI were analyzed to compute individual diffusion tensor imaging maps at 2 weeks and 6 months after injury. RESULTS By comparing the diffusion tensor imaging parameters between the two phenotypes at global, regional, and voxel levels, emotionally resilient patients were shown to have higher axial diffusivity compared with neuropsychiatrically distressed patients early after mTBI. Longitudinal analysis revealed greater compromise of WM microstructure in neuropsychiatrically distressed patients, with greater decrease of global axial diffusivity and more widespread decrease of regional axial diffusivity during the first 6 months after injury compared with emotionally resilient patients. CONCLUSIONS These results provide neuroimaging evidence of WM microstructural differences underpinning mTBI phenotypes identified from neuropsychological assessments and show differing longitudinal trajectories of these biological effects. These findings suggest that diffusion magnetic resonance imaging can provide short- and long-term imaging biomarkers of resilience.
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Affiliation(s)
- Lanya T Cai
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Benjamin L Brett
- Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Eva M Palacios
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Esther L Yuh
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Ioanna Bourla
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Jamie Wren-Jarvis
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Yang Wang
- Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Christine Mac Donald
- Department of Neurological Surgery, University of Washington, Seattle, Washington
| | - Ramon Diaz-Arrastia
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, Massachusetts
| | - David O Okonkwo
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Harvey S Levin
- Department of Physical Medicine & Rehabilitation, Baylor College of Medicine, Houston, Texas
| | | | - Nancy Temkin
- Department of Neurological Surgery, University of Washington, Seattle, Washington
| | - Amy J Markowitz
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Geoffrey T Manley
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Murray B Stein
- Department of Psychiatry, University of California, San Diego, San Diego, California
| | - Michael A McCrea
- Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Ross D Zafonte
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, Massachusetts
| | - Lindsay D Nelson
- Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin.
| | - Pratik Mukherjee
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.
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18
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Yang Z, Xiao S, Su T, Gong J, Qi Z, Chen G, Chen P, Tang G, Fu S, Yan H, Huang L, Wang Y. A multimodal meta-analysis of regional functional and structural brain abnormalities in obsessive-compulsive disorder. Eur Arch Psychiatry Clin Neurosci 2024; 274:165-180. [PMID: 37000246 DOI: 10.1007/s00406-023-01594-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 03/14/2023] [Indexed: 04/01/2023]
Abstract
Numerous neuroimaging studies of resting-state functional imaging and voxel-based morphometry (VBM) have revealed abnormalities in specific brain regions in obsessive-compulsive disorder (OCD), but results have been inconsistent. We conducted a whole-brain voxel-wise meta-analysis on resting-state functional imaging and VBM studies that investigated differences of functional activity and gray matter volume (GMV) between patients with OCD and healthy controls (HCs) using seed-based d mapping (SDM) software. A total of 41 independent studies (51 datasets) for resting-state functional imaging and 42 studies (46 datasets) for VBM were included by a systematic literature search. Overall, patients with OCD displayed increased spontaneous functional activity in the bilateral inferior frontal gyrus (IFG) (extending to the bilateral insula) and bilateral medial prefrontal cortex/anterior cingulate cortex (mPFC/ACC), as well as decreased spontaneous functional activity in the bilateral paracentral lobule, bilateral cerebellum, left caudate nucleus, left inferior parietal gyri, and right precuneus cortex. For the VBM meta-analysis, patients with OCD displayed increased GMV in the bilateral thalamus (extending to the bilateral cerebellum), right striatum, and decreased GMV in the bilateral mPFC/ACC and left IFG (extending to the left insula). The conjunction analyses found that the bilateral mPFC/ACC, left IFG (extending to the left insula) showed decreased GMV with increased intrinsic function in OCD patients compared to HCs. This meta-analysis demonstrated that OCD exhibits abnormalities in both function and structure in the bilateral mPFC/ACC, insula, and IFG. A few regions exhibited only functional or only structural abnormalities in OCD, such as the default mode network, striatum, sensorimotor areas, and cerebellum. It may provide useful insights for understanding the underlying pathophysiology of OCD and developing more targeted and efficacious treatment and intervention strategies.
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Affiliation(s)
- Zibin Yang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Shu Xiao
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Ting Su
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Jiayin Gong
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
- Department of Radiology, Six Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510655, China
| | - Zhangzhang Qi
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Pan Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Guixian Tang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - SiYing Fu
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Hong Yan
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China.
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China.
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Yi X, Xiao Q, Fu Y, Wang X, Shen L, Ding J, Jiang F, Wang J, Zhang Z, Chen BT. Association of white matter microstructural alteration with non-suicidal self-injury behavior and visual working memory in adolescents with borderline personality disorder. Psychiatry Res 2024; 331:115619. [PMID: 38048646 DOI: 10.1016/j.psychres.2023.115619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 11/13/2023] [Accepted: 11/18/2023] [Indexed: 12/06/2023]
Abstract
BACKGROUND Non-suicidal self-injurious behavior (NSSI) is the core characteristic of adolescent borderline personality disorder (BPD) and visual working memory is involved in the pathological processes of BPD. This study aimed to investigate alterations in white matter microstructure and their association with NSSI and visual working memory in adolescents with BPD. METHODS 53 adolescents diagnosed with BPD and 39 healthy controls (HCs) were enrolled. White matter microstructure was assessed with the fractional anisotropy (FA) and mean diffusivity (MD) from diffusion tensor imaging (DTI). Correlation analysis was performed to assess the association between FA/MD and core features of BPD. A mediation analysis was performed to test whether the effects of white matter alterations on NSSI could be mediated by visual working memory. RESULTS Adolescents with BPD showed a reduced FA and an increased MD in the cortical-limbic and cortical-thalamus circuit when compared to the HCs (p < 0.05). Increased MD was positively correlated with NSSI, impulse control and identity disturbance (p < 0.05), and was negatively correlated with the score of visual reproduction. Reserved visual working memory masked the effects of white matter microstructural alterations on NSSI behavior. CONCLUSIONS White matter microstructural deficits in the cortical-limbic and cortical-thalamus circuits may be associated with NSSI and visual working memory in adolescents with BPD. Reserved visual working memory may protect against NSSI.
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Affiliation(s)
- Xiaoping Yi
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China; National Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Central South University, Changsha, Hunan 410008, PR China; National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Xiangya Hospital, Changsha, Hunan 410008, PR China; Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China; Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China; Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China
| | - Qian Xiao
- Mental Health Center of Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha, Hunan 410008, PR China.
| | - Yan Fu
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China
| | - Xueying Wang
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China
| | - Liying Shen
- Mental Health Center of Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha, Hunan 410008, PR China
| | - Jun Ding
- Department of Public Health, Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Shenzhen, Guangdong, PR China
| | - Furong Jiang
- Mental Health Center of Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha, Hunan 410008, PR China
| | - Jing Wang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China
| | - Zhejia Zhang
- Department of General Surgery, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China
| | - Bihong T Chen
- Department of Diagnostic Radiology, City of Hope National Medical Center, Duarte, CA 91010, USA
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20
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Porcu M, Cocco L, Cau R, Suri JS, Mannelli L, Manchia M, Puig J, Qi Y, Saba L. Correlation of Cognitive Reappraisal and the Microstructural Properties of the Forceps Minor: A Deductive Exploratory Diffusion Tensor Imaging Study. Brain Topogr 2024; 37:63-74. [PMID: 38062326 DOI: 10.1007/s10548-023-01020-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 10/29/2023] [Indexed: 01/07/2024]
Abstract
Cognitive reappraisal (CR) is a mechanism for emotion regulation, and the prefrontal cortex (PFC) plays a central role in the regulation of emotions. We tested the hypothesis of an association between CR function and microstructural properties of forceps minor (a commissural bundle within the PFC) in healthy subjects (HS). We analyzed a population of 65 young HS of a public dataset. The diffusion tensor imaging (DTI) sequence of every subject was analyzed to extract the derived shape (diameter and volume) and DTI metrics in terms of fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) of the forceps minor. The CR subscale of the German version of the Emotion Regulation Questionnaire (ERQ) was used for CR assessment. The Shapiro-Wilk test was applied to test the assumption of normality in all these parameters, adopting a statistical threshold at p < 0.05. Whenever appropriate a non-parametric two-tailed partial correlation analysis was applied to test for correlations between the CR ERQ score and the derived shape and DTI metrics, including age and sex as confounders, adopting a statistical threshold at p < 0.05. The non-parametric two-tailed partial correlation analysis revealed a mildly significant correlation with FA (ρ = 0.303; p = 0.016), a weakly significant negative correlation with MD (ρ = - 0.269; p = 0.033), and a mildly significant negative correlation with RD (ρ = - 0.305; p = 0.015). These findings suggest a correlation between DTI microstructural properties of forceps minor and CR.
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Affiliation(s)
- Michele Porcu
- Department of Radiology, AOU Cagliari, University of Cagliari, Cagliari, Italy.
- Department of Medical Imaging, Azienda Ospedaliera Universitaria di Cagliari, S.S: 554, Km 4,500, Monserrato, 09042, Cagliari, Italy.
| | - Luigi Cocco
- Department of Radiology, AOU Cagliari, University of Cagliari, Cagliari, Italy
| | - Riccardo Cau
- Department of Radiology, AOU Cagliari, University of Cagliari, Cagliari, Italy
| | - Jasjit S Suri
- Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, CA, USA
| | | | - Mirko Manchia
- Unit of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
- Department of Pharmacology, Dalhousie University, Halifax, NS, Canada
| | - Josep Puig
- Department of Radiology (IDI) and Girona Biomedical Research Institute (IDIBGI), Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain
| | - Yang Qi
- Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, China
| | - Luca Saba
- Department of Radiology, AOU Cagliari, University of Cagliari, Cagliari, Italy
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Ji GJ, Sun J, Hua Q, Zhang L, Zhang T, Bai T, Wei L, Wang X, Qiu B, Wang A, Sun H, Liao W, Yu F, Zhu C, Tian Y, He K, Wang K. White matter dysfunction in psychiatric disorders is associated with neurotransmitter and genetic profiles. NATURE MENTAL HEALTH 2023; 1:655-666. [DOI: 10.1038/s44220-023-00111-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 07/21/2023] [Indexed: 04/02/2025]
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22
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Winter A, Thiel K, Meinert S, Lemke H, Waltemate L, Breuer F, Culemann R, Pfarr JK, Stein F, Brosch K, Meller T, Ringwald KG, Thomas-Odenthal F, Jansen A, Nenadić I, Krug A, Repple J, Opel N, Dohm K, Leehr EJ, Grotegerd D, Kugel H, Hahn T, Kircher T, Dannlowski U. Familial risk for major depression: differential white matter alterations in healthy and depressed participants. Psychol Med 2023; 53:4933-4942. [PMID: 36052484 PMCID: PMC10476061 DOI: 10.1017/s003329172200188x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 04/13/2022] [Accepted: 06/06/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) has been associated with alterations in brain white matter (WM) microstructure. However, diffusion tensor imaging studies in biological relatives have presented contradicting results on WM alterations and their potential as biomarkers for vulnerability or resilience. To shed more light on associations between WM microstructure and resilience to familial risk, analyses including both healthy and depressed relatives of MDD patients are needed. METHODS In a 2 (MDD v. healthy controls, HC) × 2 (familial risk yes v. no) design, we investigated fractional anisotropy (FA) via tract-based spatial statistics in a large well-characterised adult sample (N = 528), with additional controls for childhood maltreatment, a potentially confounding proxy for environmental risk. RESULTS Analyses revealed a significant main effect of diagnosis on FA in the forceps minor and the left superior longitudinal fasciculus (ptfce-FWE = 0.009). Furthermore, a significant interaction of diagnosis with familial risk emerged (ptfce-FWE = 0.036) Post-hoc pairwise comparisons showed significantly higher FA, mainly in the forceps minor and right inferior fronto-occipital fasciculus, in HC with as compared to HC without familial risk (ptfce-FWE < 0.001), whereas familial risk played no role in MDD patients (ptfce-FWE = 0.797). Adding childhood maltreatment as a covariate, the interaction effect remained stable. CONCLUSIONS We found widespread increased FA in HC with familial risk for MDD as compared to a HC low-risk sample. The significant effect of risk on FA was present only in HC, but not in the MDD sample. These alterations might reflect compensatory neural mechanisms in healthy adults at risk for MDD potentially associated with resilience.
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Affiliation(s)
- Alexandra Winter
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Thiel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Institute of Translational Neuroscience, University of Münster, Münster, Germany
| | - Hannah Lemke
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Lena Waltemate
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Fabian Breuer
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Regina Culemann
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Julia-Katharina Pfarr
- Department of Psychiatry und Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Frederike Stein
- Department of Psychiatry und Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Katharina Brosch
- Department of Psychiatry und Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Tina Meller
- Department of Psychiatry und Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Kai Gustav Ringwald
- Department of Psychiatry und Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Florian Thomas-Odenthal
- Department of Psychiatry und Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Andreas Jansen
- Department of Psychiatry und Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Igor Nenadić
- Department of Psychiatry und Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Jonathan Repple
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Nils Opel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Dohm
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Elisabeth J. Leehr
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Harald Kugel
- University Clinic for Radiology, University of Muenster, Münster, Germany
| | - Tim Hahn
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tilo Kircher
- Department of Psychiatry und Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
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23
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Thiel K, Meinert S, Winter A, Lemke H, Waltemate L, Breuer F, Gruber M, Leenings R, Wüste L, Rüb K, Pfarr JK, Stein F, Brosch K, Meller T, Ringwald KG, Nenadić I, Krug A, Repple J, Opel N, Koch K, Leehr EJ, Bauer J, Grotegerd D, Hahn T, Kircher T, Dannlowski U. Reduced fractional anisotropy in bipolar disorder v. major depressive disorder independent of current symptoms. Psychol Med 2023; 53:4592-4602. [PMID: 35833369 PMCID: PMC10388324 DOI: 10.1017/s0033291722001490] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 04/28/2022] [Accepted: 05/05/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND Patients with bipolar disorder (BD) show reduced fractional anisotropy (FA) compared to patients with major depressive disorder (MDD). Little is known about whether these differences are mood state-independent or influenced by acute symptom severity. Therefore, the aim of this study was (1) to replicate abnormalities in white matter microstructure in BD v. MDD and (2) to investigate whether these vary across depressed, euthymic, and manic mood. METHODS In this cross-sectional diffusion tensor imaging study, n = 136 patients with BD were compared to age- and sex-matched MDD patients and healthy controls (HC) (n = 136 each). Differences in FA were investigated using tract-based spatial statistics. Using interaction models, the influence of acute symptom severity and mood state on the differences between patient groups were tested. RESULTS Analyses revealed a main effect of diagnosis on FA across all three groups (ptfce-FWE = 0.003). BD patients showed reduced FA compared to both MDD (ptfce-FWE = 0.005) and HC (ptfce-FWE < 0.001) in large bilateral clusters. These consisted of several white matter tracts previously described in the literature, including commissural, association, and projection tracts. There were no significant interaction effects between diagnosis and symptom severity or mood state (all ptfce-FWE > 0.704). CONCLUSIONS Results indicated that the difference between BD and MDD was independent of depressive and manic symptom severity and mood state. Disruptions in white matter microstructure in BD might be a trait effect of the disorder. The potential of FA values to be used as a biomarker to differentiate BD from MDD should be further addressed in future studies using longitudinal designs.
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Affiliation(s)
- Katharina Thiel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Institute of Translational Neuroscience, University of Münster, Münster, Germany
| | - Alexandra Winter
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Hannah Lemke
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Lena Waltemate
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Fabian Breuer
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Marius Gruber
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Ramona Leenings
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Lucia Wüste
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Kathrin Rüb
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | | | - Frederike Stein
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Tina Meller
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Kai Gustav Ringwald
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Jonathan Repple
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Nils Opel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Koch
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Elisabeth J. Leehr
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Jochen Bauer
- Department of Clinical Radiology, University of Muenster, Muenster, Germany
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tim Hahn
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
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24
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Igoshina E, Wu LC, Moxon-Emre I, Mabbott DJ. Social affective outcomes and brain injury in children and adolescents treated for brain tumours. THE LANCET. CHILD & ADOLESCENT HEALTH 2023:S2352-4642(23)00079-2. [PMID: 37263284 DOI: 10.1016/s2352-4642(23)00079-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 03/06/2023] [Accepted: 03/21/2023] [Indexed: 06/03/2023]
Abstract
In this Review we critically evaluate the empirical literature investigating the effect of paediatric brain tumours and their treatment on social affective function. We focus specifically on relations between social affective function and compromised brain structure and function associated with treatment for a paediatric brain tumour. We concentrate on emotion recognition and regulation, because these are core components of social affective function. First, we provide an overview of the literature in typically developing children and discuss the underlying brain networks thought to subserve emotion (ie, limbic system and supporting white matter microstructure). We then focus on how damage to brain structure and function after treatment for a paediatric brain tumour might be related to compromised emotion recognition and regulation-as well as broader social affective outcomes. On the basis of our review of the literature across typically developing children and those with a paediatric brain tumour, we suggest that structural changes to fronto-limbic tracts might interrupt social network neural communication in children and adolescents treated for brain tumours. A critical analysis of the reviewed literature suggests a relationship between social affective dysfunction and childhood-acquired injury to white matter microstructure. We argue that the knowledge synthesised regarding paediatric brain tumours could extend to other neurological disorders. Finally, we identify considerations for future investigation and recommend research practices to be adopted in forthcoming studies to establish causal links between brain structure and function to social affective processes.
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Affiliation(s)
- Elizaveta Igoshina
- Department of Psychology, The University of Toronto, Toronto, ON, Canada; Neurosciences and Mental Health Research Program, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
| | - Liliana C Wu
- Department of Psychology, The University of Toronto, Toronto, ON, Canada; Neurosciences and Mental Health Research Program, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
| | - Iska Moxon-Emre
- The Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Donald J Mabbott
- Department of Psychology, The University of Toronto, Toronto, ON, Canada; Neurosciences and Mental Health Research Program, The Hospital for Sick Children Research Institute, Toronto, ON, Canada.
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25
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Xu EP, Nguyen L, Leibenluft E, Stange JP, Linke JO. A meta-analysis on the uncinate fasciculus in depression. Psychol Med 2023; 53:2721-2731. [PMID: 37051913 PMCID: PMC10235669 DOI: 10.1017/s0033291723000107] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 12/29/2022] [Accepted: 01/09/2023] [Indexed: 04/14/2023]
Abstract
Aberrant microstructure of the uncinate fasciculus (UNC), a white matter (WM) tract implicated in emotion regulation, has been hypothesized as a neurobiological mechanism of depression. However, studies testing this hypothesis have yielded inconsistent results. The present meta-analysis consolidates evidence from 44 studies comparing fractional anisotropy (FA) and radial diffusivity (RD), two metrics characterizing WM microstructure, of the UNC in individuals with depression (n = 5016) to healthy individuals (n = 18 425). We conduct meta-regressions to identify demographic and clinical characteristics that contribute to cross-study heterogeneity in UNC findings. UNC FA was reduced in individuals with depression compared to healthy individuals. UNC RD was comparable between individuals with depression and healthy individuals. Comorbid anxiety explained inter-study heterogeneity in UNC findings. Depression is associated with perturbations in UNC microstructure, specifically with respect to UNC FA and not UNC RD. The association between depression and UNC microstructure appears to be moderated by anxiety. Future work should unravel the cellular mechanisms contributing to aberrant UNC microstructure in depression; clarify the relationship between UNC microstructure, depression, and anxiety; and link UNC microstructure to psychological processes, such as emotion regulation.
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Affiliation(s)
- Ellie P. Xu
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Lynn Nguyen
- National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Ellen Leibenluft
- National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Jonathan P. Stange
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
- Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, CA, USA
| | - Julia O. Linke
- National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
- Louis A. Faillace, MD, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA
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Matyi MA, Spielberg JM. Negative emotion differentiation and white matter microstructure. J Affect Disord 2023; 332:238-246. [PMID: 37059190 DOI: 10.1016/j.jad.2023.04.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 03/17/2023] [Accepted: 04/07/2023] [Indexed: 04/16/2023]
Abstract
BACKGROUND Deficits in the differentiation of negative emotions - the ability to specifically identify one's negative emotions - are associated with poorer mental health outcomes. However, the processes that lead to individual differences in negative emotion differentiation are not well understood, hampering our understanding of why this process is related to poor mental health outcomes. Given that disruptions in some affective processes are associated with white matter microstructure, identifying the circuitry associated with different affective processes can inform our understanding of how disturbances in these networks may lead to psychopathology. Thus, examination of how white matter microstructure relates to individual differences in negative emotion differentiation (NED) may provide insights into (i) its component processes and (ii) its relationship to brain structure. METHOD The relationship between white matter microstructure and NED was examined. RESULTS NED was related to white matter microstructure in right anterior thalamic radiation and inferior fronto-occipital fasciculus and left peri-genual cingulum. LIMITATIONS Although participants self-reported psychiatric diagnoses and previous psychological treatment, psychopathology was not directly targeted, and thus, the extent to which microstructure related to NED could be examined in relation to maladaptive outcomes is limited. CONCLUSIONS Results indicate that NED is related to white matter microstructure and suggest that pathways subserving processes that facilitate memory, semantics, and affective experience are important for NED. Our findings provide insights into the mechanisms by which individual differences in NED arise, suggesting intervention targets that may disrupt the relationship between poor differentiation and psychopathology.
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Affiliation(s)
- Melanie A Matyi
- Department of Psychological and Brain Sciences, University of Delaware, Newark, DE 19716, USA.
| | - Jeffrey M Spielberg
- Department of Psychological and Brain Sciences, University of Delaware, Newark, DE 19716, USA
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Vandeloo KL, Burhunduli P, Bouix S, Owsia K, Cho KIK, Fang Z, Van Geel A, Pasternak O, Blier P, Phillips JL. Free-Water Diffusion Magnetic Resonance Imaging Differentiates Suicidal Ideation From Suicide Attempt in Treatment-Resistant Depression. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2023; 8:471-481. [PMID: 36906445 PMCID: PMC11421579 DOI: 10.1016/j.bpsc.2022.12.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 11/21/2022] [Accepted: 12/13/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Suicide attempt is highly prevalent in treatment-resistant depression (TRD); however, the neurobiological profile of suicidal ideation versus suicide attempt is unclear. Neuroimaging methods including diffusion magnetic resonance imaging-based free-water imaging may identify neural correlates underlying suicidal ideation and attempts in individuals with TRD. METHODS Diffusion magnetic resonance imaging data were obtained from 64 male and female participants (mean age 44.5 ± 14.2 years), including 39 patients with TRD (n = 21 and lifetime history of suicidal ideation but no attempts [SI group]; n = 18 with lifetime history of suicide attempt [SA group]), and 25 age- and sex-matched healthy control participants. Depression and suicidal ideation severity were examined using clinician-rated and self-report measures. Whole-brain neuroimaging analysis was conducted using tract-based spatial statistics via FSL to identify differences in white matter microstructure in the SI versus SA groups and in patients versus control participants. RESULTS Free-water imaging revealed elevated axial diffusivity and extracellular free water in fronto-thalamo-limbic white matter tracts of the SA group compared with the SI group. In a separate comparison, patients with TRD had widespread reductions in fractional anisotropy and axial diffusivity, as well as elevated radial diffusivity compared with control participants (thresholded p < .05, familywise error corrected). CONCLUSIONS A unique neural signature consisting of elevated axial diffusivity and free water was identified in patients with TRD and suicide attempt history. Findings of reduced fractional anisotropy, axial diffusivity, and elevated radial diffusivity in patients versus control participants are consistent with previously published studies. Multimodal and prospective investigations are recommended to better understand biological correlates of suicide attempt in TRD.
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Affiliation(s)
- Katie L Vandeloo
- University of Ottawa Institute of Mental Health Research, Ottawa, Ontario, Canada; Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Patricia Burhunduli
- University of Ottawa Institute of Mental Health Research, Ottawa, Ontario, Canada; Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Sylvain Bouix
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Kimia Owsia
- University of Ottawa Institute of Mental Health Research, Ottawa, Ontario, Canada
| | - Kang Ik K Cho
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Zhuo Fang
- University of Ottawa Institute of Mental Health Research, Ottawa, Ontario, Canada
| | - Amanda Van Geel
- University of Ottawa Institute of Mental Health Research, Ottawa, Ontario, Canada; Department of Neuroscience, Carleton University, Ottawa, Ontario, Canada
| | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Pierre Blier
- University of Ottawa Institute of Mental Health Research, Ottawa, Ontario, Canada; Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Ontario, Canada; Department of Psychiatry, University of Ottawa, Ottawa, Ontario, Canada
| | - Jennifer L Phillips
- University of Ottawa Institute of Mental Health Research, Ottawa, Ontario, Canada; Department of Neuroscience, Carleton University, Ottawa, Ontario, Canada; Department of Psychiatry, University of Ottawa, Ottawa, Ontario, Canada; Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, Ontario, Canada.
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Gilchrist CP, Kelly CE, Cumberland A, Dhollander T, Treyvaud K, Lee K, Cheong JLY, Doyle LW, Inder TE, Thompson DK, Tolcos M, Anderson PJ. Fiber-Specific Measures of White Matter Microstructure and Macrostructure Are Associated With Internalizing and Externalizing Symptoms in Children Born Very Preterm and Full-term. Biol Psychiatry 2023; 93:575-585. [PMID: 36481064 DOI: 10.1016/j.biopsych.2022.09.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 09/06/2022] [Accepted: 09/10/2022] [Indexed: 11/02/2022]
Abstract
BACKGROUND Tensor-based investigations suggest that delayed or disrupted white matter development may relate to adverse behavioral outcomes in individuals born very preterm (VP); however, metrics derived from such models lack specificity. Here, we applied a fixel-based analysis framework to examine white matter microstructural and macrostructural correlates of concurrent internalizing and externalizing problems in VP and full-term (FT) children at 7 and 13 years. METHODS Diffusion imaging data were collected in a longitudinal cohort of VP and FT individuals (130 VP and 29 FT at 7 years, 125 VP and 44 FT at 13 years). Fixel-based measures of fiber density, fiber-bundle cross-section, and fiber density and cross-section were extracted from 21 white matter tracts previously implicated in psychopathology. Internalizing and externalizing symptoms were assessed using the Strengths and Difficulties Questionnaire parent report at 7 and 13 years. RESULTS At age 7 years, widespread reductions in fiber-bundle cross-section and fiber density and cross-section and tract-specific reductions in fiber density were related to more internalizing and externalizing symptoms irrespective of birth group. At age 13 years, fixel-based measures were not related to internalizing symptoms, while tract-specific reductions in fiber density, fiber-bundle cross-section, and fiber density and cross-section measures were related to more externalizing symptoms in the FT group only. CONCLUSIONS Age-specific neurobiological markers of internalizing and externalizing problems identified in this study extend previous tensor-based findings to inform pathophysiological models of behavior problems and provide the foundation for investigations into novel preventative and therapeutic interventions to mitigate risk in VP and other high-risk infant populations.
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Affiliation(s)
- Courtney P Gilchrist
- School of Health and Biomedical Sciences, RMIT University, Melbourne, Victoria, Australia; Victorian Infant Brain Studies, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
| | - Claire E Kelly
- Victorian Infant Brain Studies, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Turner Institute for Brain and Mental Health, School of Psychological Science, Monash University, Melbourne, Victoria, Australia
| | - Angela Cumberland
- School of Health and Biomedical Sciences, RMIT University, Melbourne, Victoria, Australia
| | - Thijs Dhollander
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Karli Treyvaud
- Victorian Infant Brain Studies, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Department of Psychology and Counselling, La Trobe University, Melbourne, Victoria, Australia; Newborn Research, Royal Women's Hospital, Melbourne, Victoria, Australia
| | - Katherine Lee
- Victorian Infant Brain Studies, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Clinical Epidemiology and Biostatistics Unit, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - Jeanie L Y Cheong
- Victorian Infant Brain Studies, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Newborn Research, Royal Women's Hospital, Melbourne, Victoria, Australia; Department of Obstetrics and Gynaecology, University of Melbourne, Melbourne, Victoria, Australia
| | - Lex W Doyle
- Victorian Infant Brain Studies, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Newborn Research, Royal Women's Hospital, Melbourne, Victoria, Australia; Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia; Department of Obstetrics and Gynaecology, University of Melbourne, Melbourne, Victoria, Australia
| | - Terrie E Inder
- Victorian Infant Brain Studies, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Deanne K Thompson
- Victorian Infant Brain Studies, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - Mary Tolcos
- School of Health and Biomedical Sciences, RMIT University, Melbourne, Victoria, Australia
| | - Peter J Anderson
- Victorian Infant Brain Studies, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Turner Institute for Brain and Mental Health, School of Psychological Science, Monash University, Melbourne, Victoria, Australia.
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Guldner S, Sarvasmaa AS, Lemaître H, Massicotte J, Vulser H, Miranda R, Bezivin-Frère P, Filippi I, Penttilä J, Banaschewski T, Barker GJ, Bokde AL, Bromberg U, Büchel C, Conrod PJ, Desrivières S, Flor H, Frouin V, Gallinat J, Garavan H, Gowland P, Heinz A, Nees F, Papadopoulos-Orfanos D, Smolka MN, Schumann G, Artiges E, Martinot MLP, Martinot JL. Longitudinal associations between adolescent catch-up sleep, white-matter maturation and internalizing problems. Dev Cogn Neurosci 2023; 59:101193. [PMID: 36610292 PMCID: PMC9841167 DOI: 10.1016/j.dcn.2022.101193] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 12/21/2022] [Accepted: 12/28/2022] [Indexed: 12/31/2022] Open
Abstract
Sleep is an important contributor for neural maturation and emotion regulation during adolescence, with long-term effects on a range of white matter tracts implicated in affective processing in at-risk populations. We investigated the effects of adolescent sleep patterns on longitudinal changes in white matter development and whether this is related to the emergence of emotional (internalizing) problems. Sleep patterns and internalizing problems were assessed using self-report questionnaires in adolescents recruited in the general population followed up from age 14-19 years (N = 111 White matter structure was measured using diffusion tensor imaging (DTI) and estimated using fractional anisotropy (FA). We found that longitudinal increases in time in bed (TIB) on weekends and increases in TIB-variability between weekdays to weekend, were associated with an increase in FA in various interhemispheric and cortico-striatal tracts. Extracted FA values from left superior longitudinal fasciculus mediated the relationship between increases in TIB on weekends and a decrease in internalizing problems. These results imply that while insufficient sleep might have potentially harmful effects on long-term white matter development and internalizing problems, longer sleep duration on weekends (catch-up sleep) might be a natural counteractive and protective strategy.
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Affiliation(s)
- Stella Guldner
- Université Paris-Saclay; Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Trajectoires développementales Psychiatrie", Ecole Normale Supérieure Paris-Saclay, CNRS UMR 9010, Université Paris Cité, Centre Borelli, Gif sur Yvette, France; Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Anna S Sarvasmaa
- Université Paris-Saclay; Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Trajectoires développementales Psychiatrie", Ecole Normale Supérieure Paris-Saclay, CNRS UMR 9010, Université Paris Cité, Centre Borelli, Gif sur Yvette, France; National Institute for Health and Welfare, Department of Public Health Solutions, Mental Health Unit, Helsinki, Finland; Finnish Student Health Service, Helsinki, Finland
| | - Hervé Lemaître
- Université Paris-Saclay; Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Trajectoires développementales Psychiatrie", Ecole Normale Supérieure Paris-Saclay, CNRS UMR 9010, Université Paris Cité, Centre Borelli, Gif sur Yvette, France; Institut des Maladies Neurodégénératives, UMR 5293, CNRS, CEA, Université de Bordeaux, 33076 Bordeaux, France
| | - Jessica Massicotte
- Université Paris-Saclay; Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Trajectoires développementales Psychiatrie", Ecole Normale Supérieure Paris-Saclay, CNRS UMR 9010, Université Paris Cité, Centre Borelli, Gif sur Yvette, France
| | - Hélène Vulser
- Université Paris-Saclay; Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Trajectoires développementales Psychiatrie", Ecole Normale Supérieure Paris-Saclay, CNRS UMR 9010, Université Paris Cité, Centre Borelli, Gif sur Yvette, France
| | - Ruben Miranda
- Université Paris-Saclay; Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Trajectoires développementales Psychiatrie", Ecole Normale Supérieure Paris-Saclay, CNRS UMR 9010, Université Paris Cité, Centre Borelli, Gif sur Yvette, France
| | - Pauline Bezivin-Frère
- Université Paris-Saclay; Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Trajectoires développementales Psychiatrie", Ecole Normale Supérieure Paris-Saclay, CNRS UMR 9010, Université Paris Cité, Centre Borelli, Gif sur Yvette, France
| | - Irina Filippi
- Université Paris-Saclay; Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Trajectoires développementales Psychiatrie", Ecole Normale Supérieure Paris-Saclay, CNRS UMR 9010, Université Paris Cité, Centre Borelli, Gif sur Yvette, France
| | - Jani Penttilä
- Université Paris-Saclay; Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Trajectoires développementales Psychiatrie", Ecole Normale Supérieure Paris-Saclay, CNRS UMR 9010, Université Paris Cité, Centre Borelli, Gif sur Yvette, France; Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic, Lahti, Finland
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Gareth J Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom
| | - Arun Lw Bokde
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom; Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College, Dublin, Ireland
| | - Uli Bromberg
- Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christian Büchel
- Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Patricia J Conrod
- Department of Psychiatry, CHU Sainte-Justine Research Center, University of Montreal, Montreal, QC, Canada
| | - Sylvane Desrivières
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Vincent Frouin
- Neurospin, Commissariat à l'Energie Atomique et aux Energies Alternatives, Saclay, France
| | - Jürgen Gallinat
- University Medical Centre Hamburg-Eppendorf, Clinic and Policlinic for Psychiatry and Psychotherapy; Hamburg, Germany
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, 05405 Burlington, Vermont, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre, University of Nottingham, United Kingdom
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | | | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai; and Dept. of Psychiatry and Neuroscience, Charité University Medicine, Berlin, Germany
| | - Eric Artiges
- Université Paris-Saclay; Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Trajectoires développementales Psychiatrie", Ecole Normale Supérieure Paris-Saclay, CNRS UMR 9010, Université Paris Cité, Centre Borelli, Gif sur Yvette, France; EPS Barthelemy Durand, Etampes, France
| | - Marie-Laure Paillère Martinot
- Université Paris-Saclay; Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Trajectoires développementales Psychiatrie", Ecole Normale Supérieure Paris-Saclay, CNRS UMR 9010, Université Paris Cité, Centre Borelli, Gif sur Yvette, France; AP-HP. Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Jean-Luc Martinot
- Université Paris-Saclay; Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Trajectoires développementales Psychiatrie", Ecole Normale Supérieure Paris-Saclay, CNRS UMR 9010, Université Paris Cité, Centre Borelli, Gif sur Yvette, France.
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Lou J, Sun Y, Cui Z, Gong L. Structural brain alterations in young adult males with narcissistic personality disorder: a diffusion tensor imaging study. Int J Neurosci 2023; 133:133-140. [PMID: 33635732 DOI: 10.1080/00207454.2021.1896504] [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: 02/01/2023]
Abstract
PURPOSES 1. To find a difference in white matter (WM) between young adult males with narcissistic personality disorder (NPD) and healthy controls (HCs). 2. To find some correlations between white matter in the abnormal regions of NPD group and the pathological narcissism inventory (PNI). MATERIALS AND METHODS Eighteen male participants with NPD (age M = 18.39, SD = 0.164; education M = 12.33, SD = 0.14) were included in our experiment. NPD participants met the DSM-IV criteria for NPD and without other personality disorders evaluated by trained clinical psychiatrists using the Structured Clinical Interview of DSM-IV for Personality Disorders (SCID-II). Moreover, healthy controls were also confirmed to be free of any axis I or II disorders and matched with education level, age and handedness (age M = 18.83 years, SD = 0.246; education M = 12.56, SD = 0.202; all participants were right handed). Those who have had major life events in the last six months, mental and physical illnesses, claustrophobia and oral implants have been excluded. We used tract-based spatial statistics (TBSS) on diffusion tensor images (DTI) and analysis of Pearson correlation between abnormal brain regions of white matter fibers and the pathological narcissism inventory. RESULTS There was no significant difference in age and education level between NPD and HCs (p > 0.05). There were significant differences in PNI score and its subscales between NPD group and HCs (p < 0.01). Fractional anisotropy (FA) values were found decreased mainly in the right superior longitudinal fasciculus and the bilateral posterior thalamic radiation (include optic radiation). Lower axial diffusivity (AD) values were identified mostly in the left retrolenticular part of internal capsule and the left posterior thalamic radiation (include optic radiation). There existed a significant correlation between DTI data and pathological narcissism inventory. CONCLUSIONS The decreased brain white matter microstructures among three clusters were found in the association, projection/thalamic and connection pathways of white matter in young adult males with NPD. The abnormal white matter brain regions may be one of the neuropathological basis of the pathogenesis of young males with NPD, and it may be related to white matter development in early adulthood.
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Affiliation(s)
- Jing Lou
- Neuropsychological Department, Dalian Medical University, Dalian, Liaoning Province, China
| | - Yueji Sun
- Neuropsychological Department, Dalian Medical University, Dalian, Liaoning Province, China
| | - Zhixia Cui
- Neuropsychological Department, Dalian Medical University, Dalian, Liaoning Province, China
| | - Lei Gong
- Neuropsychological Department, Dalian Medical University, Dalian, Liaoning Province, China
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White Matter Microstructure Associated with the Antidepressant Effects of Deep Brain Stimulation in Treatment-Resistant Depression: A Review of Diffusion Tensor Imaging Studies. Int J Mol Sci 2022; 23:ijms232315379. [PMID: 36499706 PMCID: PMC9738114 DOI: 10.3390/ijms232315379] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 11/23/2022] [Accepted: 12/01/2022] [Indexed: 12/13/2022] Open
Abstract
Treatment-resistant depression (TRD) is a severe disorder characterized by high relapse rates and decreased quality of life. An effective strategy in the management of TRD is deep brain stimulation (DBS), a technique consisting of the implantation of electrodes that receive a stimulation via a pacemaker-like stimulator into specific brain areas, detected through neuroimaging investigations, which include the subgenual cingulate cortex (sgCC), basal ganglia, and forebrain bundles. In this context, to improve our understanding of the mechanism underlying the antidepressant effects of DBS in TRD, we collected the results of diffusion tensor imaging (DTI) studies exploring how WM microstructure is associated with the therapeutic effects of DBS in TRD. A search on PubMed, Web of Science, and Scopus identified 11 investigations assessing WM microstructure in responders and non-responders to DBS. Altered WM microstructure, particularly in the sgCC, medial forebrain bundle, cingulum bundle, forceps minor, and uncinate fasciculus, was associated with the antidepressant effect of DBS in TRD. Overall, the results show that DBS targeting selective brain regions, including the sgCC, forebrain bundle, cingulum bundle, rectus gyrus, anterior limb of the internal capsule, forceps minor, and uncinate fasciculus, seem to be effective for the treatment of TRD.
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Colic L, Villa LM, Dauvermann MR, van Velzen LS, Sankar A, Goldman DA, Panchal P, Kim JA, Quatrano S, Spencer L, Constable RT, Suckling J, Goodyer IM, Schmaal L, van Harmelen AL, Blumberg HP. Brain grey and white matter structural associations with future suicidal ideation and behaviors in adolescent and young adult females with mood disorders. JCPP ADVANCES 2022; 2:e12118. [PMID: 36817186 PMCID: PMC9937714 DOI: 10.1002/jcv2.12118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Background To reduce suicide in females with mood disorders, it is critical to understand brain substrates underlying their vulnerability to future suicidal ideation and behaviors (SIBs) in adolescence and young adulthood. In an international collaboration, grey and white matter structure was investigated in adolescent and young adult females with future suicidal behaviors (fSB) and ideation (fSI), and without SIBs (fnonSIB). Methods Structural (n = 91) and diffusion-weighted (n = 88) magnetic resonance imaging scans at baseline and SIB measures at follow-up on average two years later (standard deviation, SD = 1 year) were assessed in 92 females [age(SD) = 16.1(2.6) years] with bipolar disorder (BD, 28.3%) or major depressive disorder (MDD, 71.7%). One-way analyses of covariance comparing baseline regional grey matter cortical surface area, thickness, subcortical grey volumes, or white matter tensor-based fractional anisotropy across fSB (n = 40, 43.5%), fSI (n = 33, 35.9%) and fnonSIB (n = 19, 20.6%) groups were followed by pairwise comparisons in significant regions (p < 0.05). Results Compared to fnonSIBs, fSIs and fSBs showed significant decreases in cortical thickness of right inferior frontal gyrus pars orbitalis and middle temporal gyrus, fSIs of left inferior frontal gyrus, pars orbitalis. FSIs and fSBs showed lower fractional anisotropy in left uncinate fasciculus and corona radiata, and fSBs in right uncinate and superior fronto-occipital fasciculi. Conclusions The study provides preliminary evidence of grey and white matter alterations in brain regions subserving emotional and behavioral regulation and perceptual processing in adolescent and young adult females with mood disorders with, versus without, future SIBs. Findings suggest potential targets to prevent SIBs in female adolescents and young adults.
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Affiliation(s)
- Lejla Colic
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- German Center for Mental Health, Jena, Germany
| | - Luca M. Villa
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Maria R. Dauvermann
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Laura S. van Velzen
- Orygen, Parkville, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Anjali Sankar
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Neurology and Neurobiology Research Unit, Copenhagen University Hospital, Kobenhavn, Denmark
| | - Danielle A. Goldman
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, Connecticut, USA
| | - Priyanka Panchal
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Jihoon A. Kim
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA
| | - Susan Quatrano
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA
| | - Linda Spencer
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA
| | - R. Todd Constable
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA
| | - John Suckling
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Ian M. Goodyer
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Lianne Schmaal
- Orygen, Parkville, Victoria, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Anne-Laura van Harmelen
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Institute of Education and Child Studies, Leiden University, Leiden, The Netherlands
| | - Hilary P. Blumberg
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA
- Child Study Center, Yale School of Medicine, New Haven, Connecticut, USA
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Barch DM, Hua X, Kandala S, Harms MP, Sanders A, Brady R, Tillman R, Luby JL. White matter alterations associated with lifetime and current depression in adolescents: Evidence for cingulum disruptions. Depress Anxiety 2022; 39:881-890. [PMID: 36321433 PMCID: PMC10848013 DOI: 10.1002/da.23294] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 10/15/2022] [Accepted: 10/22/2022] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION Compared to research on adults with depression, relatively little work has examined white matter microstructure differences in depression arising earlier in life. Here we tested hypotheses about disruptions to white matter structure in adolescents with current and past depression, with an a priori focus on the cingulum bundles, uncinate fasciculi, corpus collosum, and superior longitudinal fasciculus. METHODS One hundred thirty-one children from the Preschool Depression Study were assessed using a Human Connectome Project style diffusion imaging sequence which was processed with HCP pipelines and TRACULA to generate estimates of fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD). RESULTS We found that reduced FA, reduced AD, and increased RD in the dorsal cingulum bundle were associated with a lifetime diagnosis of major depression and greater cumulative and current depression severity. Reduced FA, reduced AD, and increased RD in the ventral cingulum were associated with greater cumulative depression severity. CONCLUSION These findings support the emergence of white matter differences detected in adolescence associated with earlier life and concurrent depression. They also highlight the importance of connections of the cingulate to other brain regions in association with depression, potentially relevant to understanding emotion dysregulation and functional connectivity differences in depression.
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Affiliation(s)
- Deanna M. Barch
- Departments of Psychological & Brain Sciences, Psychiatry, and Radiology, Washington University in St. Louis, St. Louis, Missouri, USA
- Department of Psychiatry, Washington University in St. Louis, St. Louis, Missouri, USA
- Department of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Xiao Hua
- Department of Psychological & Brain Sciences, Imaging Sciences Program, Washington University in St. Louis, Missouri, St. Louis, USA
| | - Sridhar Kandala
- Department of Psychiatry, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Michael P. Harms
- Department of Psychiatry, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Ashley Sanders
- Department of Psychiatry, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Rebecca Brady
- Department of Psychiatry, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Rebecca Tillman
- Department of Psychiatry, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Joan L. Luby
- Department of Psychiatry, Washington University in St. Louis, St. Louis, Missouri, USA
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Rasmussen JØ, Nordholm D, Glenthøj LB, Jensen MA, Garde AH, Ragahava JM, Jennum PJ, Glenthøj BY, Nordentoft M, Baandrup L, Ebdrup BH, Kristensen TD. White matter microstructure and sleep-wake disturbances in individuals at ultra-high risk of psychosis. Front Hum Neurosci 2022; 16:1029149. [PMID: 36393990 PMCID: PMC9649829 DOI: 10.3389/fnhum.2022.1029149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 10/07/2022] [Indexed: 11/25/2022] Open
Abstract
Aim White matter changes in individuals at ultra-high risk for psychosis (UHR) may be involved in the transition to psychosis. Sleep-wake disturbances commonly precede the first psychotic episode and predict development of psychosis. We examined associations between white matter microstructure and sleep-wake disturbances in UHR individuals compared to healthy controls (HC), as well as explored the confounding effect of medication, substance use, and level of psychopathology. Methods Sixty-four UHR individuals and 35 HC underwent clinical interviews and diffusion weighted imaging. Group differences on global and callosal mean fractional anisotropy (FA) was tested using general linear modeling. Sleep-wake disturbances were evaluated using the subjective measures disturbed sleep index (DSI) and disturbed awakening index (AWI) from the Karolinska Sleep Questionnaire, supported by objective sleep measures from one-night actigraphy. The primary analyses comprised partial correlation analyses between global FA/callosal FA and sleep-wake measures. Secondary analyses investigated multivariate patterns of covariance between measures of sleep-wake disturbances and FA in 48 white matter regions of interest using partial least square correlations. Results Ultra-high risk for psychosis individuals displayed lower global FA (F = 14.56, p < 0.001) and lower callosal FA (F = 11.34, p = 0.001) compared to HC. Subjective sleep-wake disturbances were significantly higher among the UHR individuals (DSI: F = 27.59, p < 0.001, AWI: F = 36.42, p < 0.001). Lower callosal FA was correlated with increased wake after sleep onset (r = -0.34, p = 0.011) and increased sleep fragmentation index (r = -0.31, p = 0.019) in UHR individuals. Multivariate analyses identified a pattern of covariance in regional FA which were associated with DSI and AWI in UHR individuals (p = 0.028), but not in HC. Substance use, sleep medication and antipsychotic medication did not significantly confound these associations. The association with objective sleep-wake measures was sustained when controlling for level of depressive and UHR symptoms, but symptom level confounded the covariation between FA and subjective sleep-wake measures in the multivariate analyses. Conclusion Compromised callosal microstructure in UHR individuals was related to objectively observed disruptions in sleep-wake functioning. Lower FA in ventrally located regions was associated with subjectively measured sleep-wake disturbances and was partly explained by psychopathology. These findings call for further investigation of sleep disturbances as a potential treatment target.
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Affiliation(s)
- Jesper Ø. Rasmussen
- Centre for Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | - Dorte Nordholm
- Copenhagen Research Centre for Mental Health, Mental Health Centre Copenhagen, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | - Louise B. Glenthøj
- Copenhagen Research Centre for Mental Health, Mental Health Centre Copenhagen, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Department of Psychology, Faculty of Social Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marie A. Jensen
- The National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Anne H. Garde
- The National Research Centre for the Working Environment, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jayachandra M. Ragahava
- Centre for Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Poul J. Jennum
- Danish Centre for Sleep Medicine, Department of Clinical Neurophysiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Birte Y. Glenthøj
- Centre for Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Merete Nordentoft
- Copenhagen Research Centre for Mental Health, Mental Health Centre Copenhagen, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lone Baandrup
- Centre for Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Mental Health Centre Copenhagen, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | - Bjørn H. Ebdrup
- Centre for Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Tina D. Kristensen
- Centre for Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
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Wen K, Zhao Y, Zhang F, Lui S, Kemp GJ, Gong Q. Large-scale dysfunctional white matter and grey matter networks in patients with social anxiety disorder. iScience 2022; 25:105094. [PMID: 36185352 PMCID: PMC9519591 DOI: 10.1016/j.isci.2022.105094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Revised: 07/08/2022] [Accepted: 09/04/2022] [Indexed: 11/24/2022] Open
Abstract
Dysfunction of large-scale brain networks has been implicated in social anxiety disorder (SAD); most work has focused on grey matter (GM) functional connectivity (FC) abnormalities, whereas white matter (WM) FC alterations remain unclear. Here, using a K-means clustering algorithm, we obtained 8 GM and 10 WM functional networks from a cohort dataset (48 SAD patients and 48 healthy controls). By calculating and comparing FC matrices between SAD group and healthy controls, we demonstrated disrupted connections between the limbic and dorsal prefrontal, lateral temporal, and sensorimotor networks, and between the visual and sensorimotor networks. Furthermore, there were negative correlations between HAMD scores and limbic-dorsal prefrontal and limbic-sensorimotor networks, and between illness duration and sensorimotor-visual networks. These findings reflect the critical role of limbic network, with its extensive connections to other networks, and the neurobiology of disordered cognition processing and emotional regulation in SAD.
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Affiliation(s)
- Keren Wen
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Youjin Zhao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan 610041, China
| | - Feifei Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Su Lui
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
- Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Graham J. Kemp
- Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L69 3GE, UK
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
- Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen, Fujian 361021, China
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Maurer JM, Paul S, Edwards BG, Anderson NE, Nyalakanti PK, Harenski CL, Decety J, Kiehl KA. Reduced structural integrity of the uncinate fasciculus in incarcerated women scoring high on psychopathy. Brain Imaging Behav 2022; 16:2141-2149. [PMID: 35882762 PMCID: PMC11423388 DOI: 10.1007/s11682-022-00684-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/30/2022] [Indexed: 12/01/2022]
Abstract
Both men and women scoring high on psychopathy exhibit similar structural and functional neural abnormalities, including reduced volume of the orbitofrontal cortex (OFC) and reduced hemodynamic activity in the amygdala during affective processing experimental paradigms. The uncinate fasciculus (UF) is a white matter (WM) tract that connects the amygdala to the OFC. Reduced structural integrity of the UF, measured via fractional anisotropy (FA), is commonly associated with men scoring high on psychopathy. However, only one study to date has investigated the relationship between psychopathic traits and UF structural integrity in women, recruiting participants from a community sample. Here, we investigated whether Hare Psychopathy Checklist-Revised (PCL-R) facet scores (measuring interpersonal, affective, lifestyle/behavioral, and antisocial psychopathic traits, respectively) were associated with reduced FA in the left and right UF in a sample of 254 incarcerated women characterized by a wide range of psychopathy scores. We observed that PCL-R Facet 3 scores, assessing lifestyle/behavioral psychopathic traits, were associated with reduced FA in the left and right UF, even when controlling for participant's age and history of previous substance use. The results obtained in the current study help improve our understanding of structural abnormalities associated with women scoring high on psychopathy. Specifically, reduced UF structural integrity may contribute to some of the deficits commonly associated with women scoring high on psychopathy, including emotion dysregulation.
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Affiliation(s)
- J Michael Maurer
- The Mind Research Network, 1101 Yale Boulevard NE, Albuquerque, NM, 87106, USA.
| | - Subhadip Paul
- School of Biological Sciences, Ramakrishna Mission Vivekananda Educational and Research Institute (RKMVERI), Narendrapur, Kolkata, West Bengal, India
- JIVAN- Centre for Research in Biological Sciences, Ramakrishna Mission Vivekananda Educational and Research Institute (RKMVERI), Narendrapur, Kolkata, West Bengal, India
- Ramakrishna Mission Vivekananda Educational and Research Institute (RKMVERI), P.O.: Belur Math, Howrah, West Bengal, India
| | - Bethany G Edwards
- The Mind Research Network, 1101 Yale Boulevard NE, Albuquerque, NM, 87106, USA
- Department of Psychology, University of New Mexico, Albuquerque, NM, USA
| | | | | | - Carla L Harenski
- The Mind Research Network, 1101 Yale Boulevard NE, Albuquerque, NM, 87106, USA
| | - Jean Decety
- Department of Psychology, Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - Kent A Kiehl
- The Mind Research Network, 1101 Yale Boulevard NE, Albuquerque, NM, 87106, USA.
- Department of Psychology, University of New Mexico, Albuquerque, NM, USA.
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Romaniuk M, Xia Y, Fisher G, Pannek K, Fripp J, Evans J, Rose S. The relationship between chronic PTSD, cortical volumetry and white matter microstructure among Australian combat veterans. Mil Med Res 2022; 9:50. [PMID: 36114591 PMCID: PMC9482182 DOI: 10.1186/s40779-022-00413-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 08/30/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Posttraumatic stress disorder (PTSD) has been associated with volumetric and white matter microstructural changes among general and veteran populations. However, regions implicated have greatly varied and often conflict between studies, potentially due to confounding comorbidities within samples. This study compared grey matter volume and white matter microstructure among Australian combat veterans with and without a lifetime diagnosis of PTSD, in a homogenous sample assessed for known confounding comorbidities. METHODS Sixty-eight male trauma-exposed veterans (16 PTSD-diagnosed; mean age 69 years) completed a battery of psychometric assessments and underwent magnetic resonance and diffusion tensor imaging. Analyses included tract-based spatial statistics, voxel-wise analyses, diffusion connectome-based group-wise analysis, and volumetric analysis. RESULTS Significantly smaller grey matter volumes were observed in the left prefrontal cortex (P = 0.026), bilateral middle frontal gyrus (P = 0.021), and left anterior insula (P = 0.048) in the PTSD group compared to controls. Significant negative correlations were found between PTSD symptom severity and fractional anisotropy values in the left corticospinal tract (R2 = 0.34, P = 0.024) and left inferior cerebellar peduncle (R2 = 0.62, P = 0.016). No connectome-based differences in white matter properties were observed. CONCLUSIONS Findings from this study reinforce reports of white matter alterations, as indicated by reduced fractional anisotropy values, in relation to PTSD symptom severity, as well as patterns of reduced volume in the prefrontal cortex. These results contribute to the developing profile of neuroanatomical differences uniquely attributable to veterans who suffer from chronic PTSD.
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Affiliation(s)
- Madeline Romaniuk
- Gallipoli Medical Research Foundation, Greenslopes Private Hospital, Greenslopes, 4120, Australia. .,Faculty of Health and Behavioural Sciences, The University of Queensland, Saint Lucia, 4067, Australia.
| | - Ying Xia
- The Australian E-Health Research Centre, CSIRO Health and Biosecurity, Herston, 4029, Australia
| | - Gina Fisher
- Gallipoli Medical Research Foundation, Greenslopes Private Hospital, Greenslopes, 4120, Australia
| | - Kerstin Pannek
- The Australian E-Health Research Centre, CSIRO Health and Biosecurity, Herston, 4029, Australia
| | - Jurgen Fripp
- The Australian E-Health Research Centre, CSIRO Health and Biosecurity, Herston, 4029, Australia
| | - Justine Evans
- Gallipoli Medical Research Foundation, Greenslopes Private Hospital, Greenslopes, 4120, Australia
| | - Stephen Rose
- The Australian E-Health Research Centre, CSIRO Health and Biosecurity, Herston, 4029, Australia
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Feng C, Huang W, Xu K, Stewart JL, Camilleri JA, Yang X, Wei P, Gu R, Luo W, Eickhoff SB. Neural substrates of motivational dysfunction across neuropsychiatric conditions: Evidence from meta-analysis and lesion network mapping. Clin Psychol Rev 2022; 96:102189. [PMID: 35908312 PMCID: PMC9720091 DOI: 10.1016/j.cpr.2022.102189] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 04/13/2022] [Accepted: 07/18/2022] [Indexed: 02/03/2023]
Abstract
Motivational dysfunction constitutes one of the fundamental dimensions of psychopathology cutting across traditional diagnostic boundaries. However, it is unclear whether there is a common neural circuit responsible for motivational dysfunction across neuropsychiatric conditions. To address this issue, the current study combined a meta-analysis on psychiatric neuroimaging studies of reward/loss anticipation and consumption (4308 foci, 438 contrasts, 129 publications) with a lesion network mapping approach (105 lesion cases). Our meta-analysis identified transdiagnostic hypoactivation in the ventral striatum (VS) for clinical/at-risk conditions compared to controls during the anticipation of both reward and loss. Moreover, the VS subserves a key node in a distributed brain network which encompasses heterogeneous lesion locations causing motivation-related symptoms. These findings do not only provide the first meta-analytic evidence of shared neural alternations linked to anticipatory motivation-related deficits, but also shed novel light on the role of VS dysfunction in motivational impairments in terms of both network integration and psychological functions. Particularly, the current findings suggest that motivational dysfunction across neuropsychiatric conditions is rooted in disruptions of a common brain network anchored in the VS, which contributes to motivational salience processing rather than encoding positive incentive values.
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Affiliation(s)
- Chunliang Feng
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education (South China Normal University), Guangzhou, China,Guangdong Provincial Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, China,Corresponding authors at: Guangdong Provincial Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou 510631, China; Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China. (C. Feng), (R. Gu)
| | - Wenhao Huang
- Beijing Key Laboratory of Learning and Cognition, and School of Psychology, Capital Normal University, Beijing, China,Department of Decision Neuroscience and Nutrition, German Institute of Human Nutrition (DIfE), Potsdam-Rehbrücke, Germany
| | - Kangli Xu
- The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China
| | | | - Julia A. Camilleri
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany,Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Xiaofeng Yang
- The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China
| | - Ping Wei
- Beijing Key Laboratory of Learning and Cognition, and School of Psychology, Capital Normal University, Beijing, China
| | - Ruolei Gu
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China,Corresponding authors at: Guangdong Provincial Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou 510631, China; Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China. (C. Feng), (R. Gu)
| | - Wenbo Luo
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China
| | - Simon B. Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany,Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
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Chen L, Zeng X, Zhou S, Gu Z, Pan J. Correlation Between Serum High-Sensitivity C-Reactive Protein, Tumor Necrosis Factor-Alpha, Serum Interleukin-6 and White Matter Integrity Before and After the Treatment of Drug-Naïve Patients With Major Depressive Disorder. Front Neurosci 2022; 16:948637. [PMID: 35911989 PMCID: PMC9326236 DOI: 10.3389/fnins.2022.948637] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 06/20/2022] [Indexed: 12/28/2022] Open
Abstract
Background Previous studies have noticed that systemic inflammation may alter the integrity of white matter. However, how the levels of serum cytokine affect the integrity of white matter in major depressive disorder (MDD) patients are unclear. Our study aimed to investigate the association between the inflammatory cytokine levels and white matter microstructure in drug-naïve patients with MDD pre- and post-treatment. Method In total, 29 MDD patients and 25 healthy controls (HC) were included in this study. Diffusion tensor imaging (DTI) was conducted in all subjects at baseline, and the MDD patients were reassessed after venlafaxine treatment, using a tract-based spatial statistics (TBSS) analysis. Morning serum interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α), and high-sensitivity C-reactive protein (hs-CRP) concentrations in MDD patients were also measured pre- and post-treatment. Results Significantly reduced fractional anisotropy (FA) values were found in the bilateral superior fronto-occipital fasciculus (SFO), posterior limb of the internal capsule (IC-PL), and fornix compared with the HC, and FA values in these regions in MDD patients have risen to normal levels except the bilateral SFO after treatment. The FA value of the left IC-PL was inversely correlated with the peripheral hs-CRP levels in both pre- and post-treatment MDD patients. Conclusion Our results suggested that the white matter integrity in the left IC-PL was significantly inversely correlated with the peripheral hs-CRP levels in both pre- and post-treatment MDD patients.
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Affiliation(s)
- Liping Chen
- Department of Psychiatry, Guangzhou First People’s Hospital, South China University of Technology, Guangzhou, China
| | - Xiangling Zeng
- Department of Radiology, School of Medicine, Guangzhou First People’s Hospital, South China University of Technology, Guangzhou, China
- Department of Medical Imaging, Huizhou Municipal Central Hospital, Huizhou, China
| | - Sijia Zhou
- Department of Psychiatry, Guangzhou First People’s Hospital, South China University of Technology, Guangzhou, China
| | - Zhiwen Gu
- Department of Psychiatry, Guangzhou First People’s Hospital, South China University of Technology, Guangzhou, China
| | - Jiyang Pan
- Department of Psychiatry, The First Affiliated Hospital, Jinan University, Guangzhou, China
- *Correspondence: Jiyang Pan,
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Krekeler BN, Hou J, Nair VA, Vivek P, Rusche N, Rogus-Pulia N, Robbins J. Alterations in white matter microstructural properties after lingual strength exercise in patients with dysphagia. Neuroreport 2022; 33:392-398. [PMID: 35594433 PMCID: PMC9141426 DOI: 10.1097/wnr.0000000000001796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
OBJECTIVES Central nervous system effects of lingual strengthening exercise to treat dysphagia remain largely unknown. This pilot study measured changes in microstructural white matter to capture alterations in neural signal processing following lingual strengthening exercise. METHODS Diffusion-weighted images were acquired from seven participants with dysphagia of varying etiologies, before and after lingual strengthening exercise (20 reps, 3×/day, 3 days/week, 8 weeks), using a 10-min diffusion sequence (9 b0, 56 directions with b1000) on GE750 3T scanner. Tract-Based Spatial Statistics evaluated voxel-based group differences for fractional anisotropy, mean diffusivity, axial diffusivity, radial diffusivity and local diffusion homogeneity (LDH). Paired t-tests evaluated treatment differences on each metric (P < 0.05). RESULTS After lingual strengthening exercise, lingual pressure generation increased (avg increase = 46.1 hPa; nonsignificant P = 0.52) with these changes in imaging metrics: (1) decrease in fractional anisotropy, forceps minor; (2) increase in mean diffusivity, right inferior fronto-occipital fasciculus (IFOF); (3) decrease in mean diffusivity, left uncinate fasciculus; (4) decrease in axial diffusivity, both left IFOF and left uncinate fasciculus; (5) increase in LDH, right anterior thalamic radiation and (6) decrease in LDH, temporal portion of right superior longitudinal fasciculus. There was a positive correlation between diffusion tensor imaging metrics and change in lingual pressure generation in left IFOF and the temporal portion of right superior longitudinal fasciculus. CONCLUSIONS These findings suggest that lingual strengthening exercise can induce changes in white matter structural and functional properties in a small group of patients with dysphagia of heterogeneous etiologies. These procedures should be repeated with a larger group of patients to improve interpretation of overall lingual strengthening exercise effects on cortical structure and function.
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Affiliation(s)
- Brittany N Krekeler
- Department of Otolaryngology – Head and Neck Surgery, University of Cincinnati
- Department of Surgery – Otolaryngology, University of Wisconsin-Madison
- Department of Medicine, University of Wisconsin-Madison
| | - Jiancheng Hou
- Center for Cross-Straits Cultural Development, Fujian Normal University
- Department of Radiology, University of Wisconsin-Madison
| | - Veena A. Nair
- Department of Radiology, University of Wisconsin-Madison
| | | | - Nicole Rusche
- Department of Medicine, University of Wisconsin-Madison
| | - Nicole Rogus-Pulia
- Department of Surgery – Otolaryngology, University of Wisconsin-Madison
- Department of Medical Physics, University of Wisconsin-Madison
- Department of Medicine, University of Wisconsin-Madison
- Geriatric Research Education and Clinical Center, William S Middleton Memorial Veteran’s Hospital
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Abnormal white matter structure in hoarding disorder. J Psychiatr Res 2022; 148:1-8. [PMID: 35081485 DOI: 10.1016/j.jpsychires.2022.01.031] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 10/23/2021] [Accepted: 01/13/2022] [Indexed: 11/23/2022]
Abstract
Although preliminary neuroimaging research suggests that patients with hoarding disorder (HD) show widespread abnormal task-related activity in the brain, there has been no research on alterations in the white matter tracts in these patients. The aim of this study was to investigate the characteristics of the major white matter tracts in patients with HD. Tract-based spatial statistics were used to search for white matter tract abnormalities throughout the brain in 25 patients with HD and 36 healthy controls. Post hoc analysis of regions of interest was performed to detect correlations with clinical features. Compared with the controls, patients with HD showed decreased fractional anisotropy and increased radial diffusivity in anatomically widespread white matter tracts. Post hoc analysis of regions of interest revealed a significant negative correlation between the severity of hoarding symptoms and fractional anisotropy in the left anterior limb of the internal capsule and a positive correlation between the severity of these symptoms and radial diffusivity in the right anterior thalamic radiation. Patients with HD showed a broad range of alterations in the frontal white matter tracts, including the frontothalamic circuit, frontoparietal network, and frontolimbic pathway. The findings of this study indicate associations between frontal white matter abnormalities related to the severity of hoarding symptoms in HD and the cortical regions involved in cognitive dysfunction. The insights provided would be useful for understanding the neurobiological basis of HD.
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Palomero-Gallagher N, Amunts K. A short review on emotion processing: a lateralized network of neuronal networks. Brain Struct Funct 2022; 227:673-684. [PMID: 34216271 PMCID: PMC8844151 DOI: 10.1007/s00429-021-02331-7] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 06/21/2021] [Indexed: 01/22/2023]
Abstract
Emotions are valenced mental responses and associated physiological reactions that occur spontaneously and automatically in response to internal or external stimuli, and can influence our behavior, and can themselves be modulated to a certain degree voluntarily or by external stimuli. They are subserved by large-scale integrated neuronal networks with epicenters in the amygdala and the hippocampus, and which overlap in the anterior cingulate cortex. Although emotion processing is accepted as being lateralized, the specific role of each hemisphere remains an issue of controversy, and two major hypotheses have been proposed. In the right-hemispheric dominance hypothesis, all emotions are thought to be processed in the right hemisphere, independent of their valence or of the emotional feeling being processed. In the valence lateralization hypothesis, the left is thought to be dominant for the processing of positively valenced stimuli, or of stimuli inducing approach behaviors, whereas negatively valenced stimuli, or stimuli inducing withdrawal behaviors, would be processed in the right hemisphere. More recent research points at the existence of multiple interrelated networks, each associated with the processing of a specific component of emotion generation, i.e., its generation, perception, and regulation. It has thus been proposed to move from hypotheses supporting an overall hemispheric specialization for emotion processing toward dynamic models incorporating multiple interrelated networks which do not necessarily share the same lateralization patterns.
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Affiliation(s)
- Nicola Palomero-Gallagher
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, 52425, Jülich, Germany.
- C. & O. Vogt Institute for Brain Research, Heinrich-Heine-University, 40225, Düsseldorf, Germany.
- Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical Faculty, RWTH, Aachen, Germany.
| | - Katrin Amunts
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, 52425, Jülich, Germany
- C. & O. Vogt Institute for Brain Research, Heinrich-Heine-University, 40225, Düsseldorf, Germany
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43
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Gu X, Dubol M, Stiernman L, Wikström J, Hahn A, Lanzenberger R, Epperson CN, Bixo M, Sundström-Poromaa I, Comasco E. White matter microstructure and volume correlates of premenstrual dysphoric disorder. J Psychiatry Neurosci 2022; 47:E67-E76. [PMID: 35197364 PMCID: PMC9259386 DOI: 10.1503/jpn.210143] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 11/18/2021] [Accepted: 12/20/2021] [Indexed: 11/01/2022] Open
Abstract
BACKGROUND Premenstrual dysphoric disorder (PMDD) is a mood disorder characterized by psychological and physical symptoms. Differences in white matter have been associated with affective and anxiety disorders, which share some symptoms with PMDD. However, whether white matter structure differs between the brains of individuals with PMDD and healthy controls is not known, nor is its relation to symptom severity. METHODS We performed tract-based spatial statistics and voxel-based morphometry analyses of diffusion tensor imaging metrics and white matter volume, using 2 neuroimaging data sets (n = 67 and n = 131) and a combined whole-brain and region-of-interest approach. We performed correlation analyses to investigate the relationship between regions with different white matter microstructure and volume and PMDD symptom severity. RESULTS We found greater fractional anisotropy in the left uncinate fasciculus (d = 0.69) in individuals with PMDD compared to controls. Moreover, the volume of the right uncinate fasciculus was higher in individuals with PMDD compared to controls (d = 0.40). As well, the severity of premenstrual depression was positively correlated with fractional anisotropy in the right superior longitudinal fasciculus (r = 0.35). LIMITATIONS It is challenging to interpret group differences in diffusion tensor imaging metrics in terms of their underlying biophysical properties. The small size of the control group in the diffusion tensor imaging study may have prevented effects of interest from being detected. CONCLUSION The findings of the present study provide evidence of differential cerebral white matter structure associated with PMDD and its symptoms.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Erika Comasco
- From the Department of Neuroscience, Science for Life Laboratory, Uppsala University, Sweden (Gu, Dubol, Comasco); the Department of Clinical Sciences, Umeå University, Umeå, Sweden (Stiernman, Bixo); the Department of Surgical Sciences, Neuroradiology, Uppsala University, Sweden (Wikström); the Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria (Hahn, Lanzenberger); the Department of Psychiatry, University of Colorado School of Medicine, USA (Epperson); the Department of Women's and Children's Health, Uppsala University, Sweden (Sundström-Poromaa)
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44
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Eijsker N, Schröder A, Liebrand LC, Smit DJA, van Wingen G, Denys D. White matter abnormalities in misophonia. Neuroimage Clin 2022; 32:102787. [PMID: 34461433 PMCID: PMC8405911 DOI: 10.1016/j.nicl.2021.102787] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 08/02/2021] [Accepted: 08/06/2021] [Indexed: 11/18/2022]
Abstract
Misophonia is a condition in which specific ordinary sounds provoke disproportionately strong negative affect and physiological arousal. Evidence for neurobiological abnormalities underlying misophonia is scarce. Since many psychiatric disorders show white matter (WM) abnormalities, we tested for both macro and micro-structural WM differences between misophonia patients and healthy controls. We collected T1-weighted and diffusion-weighted magnetic resonance images from 24 patients and 25 matched controls. We tested for group differences in WM volume using whole-brain voxel-based morphometry and used the significant voxels from this analysis as seeds for probabilistic tractography. After calculation of diffusion tensors, we compared group means for fractional anisotropy, mean diffusivity, and directional diffusivities, and applied tract-based spatial statistics for voxel-wise comparison. Compared to controls, patients had greater left-hemispheric WM volumes in the inferior fronto-occipital fasciculus, anterior thalamic radiation, and body of the corpus callosum connecting bilateral superior frontal gyri. Patients also had lower averaged radial and mean diffusivities and voxel-wise comparison indicated large and widespread clusters of lower mean diffusivity. We found both macro and microstructural WM abnormalities in our misophonia sample, suggesting misophonia symptomatology is associated with WM alterations. These biological alterations may be related to differences in social-emotional processing, particularly recognition of facial affect, and to attention for affective information.
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Affiliation(s)
- Nadine Eijsker
- Amsterdam University Medical Centers, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands; Amsterdam Brain and Cognition, University of Amsterdam, Nieuwe Achtergracht 129, Amsterdam 1001 NK, the Netherlands
| | - Arjan Schröder
- Amsterdam University Medical Centers, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands; Amsterdam Brain and Cognition, University of Amsterdam, Nieuwe Achtergracht 129, Amsterdam 1001 NK, the Netherlands
| | - Luka C Liebrand
- Amsterdam University Medical Centers, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands; Amsterdam Brain and Cognition, University of Amsterdam, Nieuwe Achtergracht 129, Amsterdam 1001 NK, the Netherlands; Amsterdam University Medical Centers, University of Amsterdam, Department of Biomedical Engineering and Physics, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands
| | - Dirk J A Smit
- Amsterdam University Medical Centers, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands; Amsterdam Brain and Cognition, University of Amsterdam, Nieuwe Achtergracht 129, Amsterdam 1001 NK, the Netherlands
| | - Guido van Wingen
- Amsterdam University Medical Centers, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands; Amsterdam Brain and Cognition, University of Amsterdam, Nieuwe Achtergracht 129, Amsterdam 1001 NK, the Netherlands
| | - Damiaan Denys
- Amsterdam University Medical Centers, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Meibergdreef 9, Amsterdam 1105 AZ, the Netherlands; Amsterdam Brain and Cognition, University of Amsterdam, Nieuwe Achtergracht 129, Amsterdam 1001 NK, the Netherlands.
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45
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Domínguez-Borràs J, Vuilleumier P. Amygdala function in emotion, cognition, and behavior. HANDBOOK OF CLINICAL NEUROLOGY 2022; 187:359-380. [PMID: 35964983 DOI: 10.1016/b978-0-12-823493-8.00015-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The amygdala is a core structure in the anterior medial temporal lobe, with an important role in several brain functions involving memory, emotion, perception, social cognition, and even awareness. As a key brain structure for saliency detection, it triggers and controls widespread modulatory signals onto multiple areas of the brain, with a great impact on numerous aspects of adaptive behavior. Here we discuss the neural mechanisms underlying these functions, as established by animal and human research, including insights provided in both healthy and pathological conditions.
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Affiliation(s)
- Judith Domínguez-Borràs
- Department of Clinical Psychology and Psychobiology & Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Patrik Vuilleumier
- Department of Neuroscience and Center for Affective Sciences, University of Geneva, Geneva, Switzerland.
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46
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Kristensen TD, Glenthøj LB, Raghava JM, Syeda W, Mandl RCW, Wenneberg C, Krakauer K, Fagerlund B, Pantelis C, Glenthøj BY, Nordentoft M, Ebdrup BH. Changes in negative symptoms are linked to white matter changes in superior longitudinal fasciculus in individuals at ultra-high risk for psychosis. Schizophr Res 2021; 237:192-201. [PMID: 34543833 DOI: 10.1016/j.schres.2021.09.014] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 09/05/2021] [Accepted: 09/11/2021] [Indexed: 01/23/2023]
Abstract
AIM Growing evidence suggests that subtle white matter (WM) alterations are associated with psychopathology in individuals at ultra-high risk for psychosis (UHR). However, the longitudinal relationship between symptom progression and WM changes over time remains under-explored. Here, we examine associations between changes in clinical symptoms and changes in WM over six months in a large UHR-cohort. METHODS 110 UHR-individuals and 59 healthy controls underwent diffusion weighted imaging at baseline and after six months. Group × time effects on fractional anisotropy (FA) were tested globally and in four predefined regions of interest (ROIs) bilaterally using linear modelling with repeated measures. Correlations between the changes in clinical symptoms and FA changes in the ROIs were examined with Pearson's correlation. A partial least squares correlation-technique (PLS-C) explored multivariate associations between patterns of changes in psychopathology, regional FA and additional WM indices. RESULTS At baseline, UHR-individuals displayed significantly lower FA globally (p = 0.018; F = 12.274), in right superior longitudinal fasciculus (p = 0.02; Adj R2 = 0.07) and in left uncinate fasciculus (p = 0.048; Adj R2 = 0.058) compared to controls (corrected). We identified a group × time interaction in global FA and right superior longitudinal fasciculus, but the finding did not survive multiple comparisons. However, an increase of negative symptoms in UHR-individuals correlated with FA increase in right superior longitudinal fasciculus (p = 0.048, corrected, r = 0.357), and this finding was supported by the multivariate PLS-C. CONCLUSION We found a positive correlation with a moderate effect between change in negative symptoms and FA change over 6 months in right superior longitudinal fasciculus. This link appeared mainly to reflect a subgroup of UHR-individuals, which already at baseline presented as vulnerable.
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Affiliation(s)
- Tina D Kristensen
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, Denmark.
| | - Louise B Glenthøj
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, Denmark
| | - Jayachandra M Raghava
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine and PET, University of Copenhagen, Glostrup, Denmark
| | - Warda Syeda
- Melbourne Neuropsychiatry Center, Department of Psychiatry, The University of Melbourne, and Melbourne Health, Carlton South, Victoria, Australia
| | - Rene C W Mandl
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; University Medical Center Utrecht Brain Center, Utrecht, the Netherlands
| | - Christina Wenneberg
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, Denmark
| | - Kristine Krakauer
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, Denmark
| | - Birgitte Fagerlund
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Department of Psychology, Faculty of Social Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Christos Pantelis
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Melbourne Neuropsychiatry Center, Department of Psychiatry, The University of Melbourne, and Melbourne Health, Carlton South, Victoria, Australia
| | - Birte Y Glenthøj
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Merete Nordentoft
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Copenhagen Research Centre for Mental Health (CORE), Copenhagen University Hospital, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Bjørn H Ebdrup
- Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, and Center for Neuropsychiatric Schizophrenia Research, CNSR, Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark; Melbourne Neuropsychiatry Center, Department of Psychiatry, The University of Melbourne, and Melbourne Health, Carlton South, Victoria, Australia; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Demnitz-King H, Göehre I, Marchant NL. The neuroanatomical correlates of repetitive negative thinking: A systematic review. Psychiatry Res Neuroimaging 2021; 316:111353. [PMID: 34390952 DOI: 10.1016/j.pscychresns.2021.111353] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 07/30/2021] [Accepted: 07/30/2021] [Indexed: 12/18/2022]
Abstract
Repetitive negative thinking (RNT) is a cognitive process characterised by intrusive, repetitive, and difficult-to-disengage-from negative thoughts. Heightened RNT levels are prevalent across clinical disorders and have been associated with ill-health (e.g. cardiovascular disease), even at lower, non-clinical levels. Identifying the neuroanatomical correlates of RNT could help characterise structural alterations that transcend diagnostic boundaries and further understanding of the pathogenesis of clinical disorders. We therefore conducted a systematic review to investigate associations between RNT and brain morphology. Following title/abstract and full-text screening, 24 studies were included. We found evidence that RNT severity is associated with grey and white matter volumes/microstructure, particularly in the dorsolateral prefrontal cortex, anterior cingulate cortex and superior longitudinal fasciculus, regions heavily implicated in cognitive control, and emotional processing and regulation. However, inconsistent associations, potentially due to the heterogeneity of included studies (e.g. methodological differences, type of RNT assessed), preclude specific conclusions being reached regarding any one region's association with RNT. Further, given the defuse nature of thoughts, it may be that RNT is associated with distributed brain regions operating within large-scale networks, rather than with a single structure. High quality longitudinal studies, investigating structural networks, are required to confirm the neuroanatomical basis of RNT and elucidate the direction of relationships.
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Affiliation(s)
- Harriet Demnitz-King
- Division of Psychiatry, Faculty of Brain Sciences, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, London, United Kingdom.
| | - Isabelle Göehre
- Division of Psychiatry, Faculty of Brain Sciences, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, London, United Kingdom; Division of Clinical Psychology and Psychological Treatment, Department of Psychology, Ludwig-Maximilians-University Munich, Leopoldstr. 13, 80802, Munich, Germany
| | - Natalie L Marchant
- Division of Psychiatry, Faculty of Brain Sciences, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, London, United Kingdom
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Prospective study on microstructure in medication-naïve adolescents with first-episode major depressive disorder. J Affect Disord 2021; 293:268-275. [PMID: 34217965 DOI: 10.1016/j.jad.2021.06.048] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Revised: 04/30/2021] [Accepted: 06/19/2021] [Indexed: 11/21/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) is one of the most prevalent mental disorders during adolescence, and early diagnosis and treatment are important. We aimed to characterize the microstructure of the brain in medication-naïve adolescents with first-episode MDD. METHODS Patients with MDD (N = 31) and healthy controls (N = 27) participated in this study and severity of depressive symptoms, duration of untreated depressive episode, demographic data, and diffuse tensor imaging data were collected. A comparative analysis of patients and healthy controls was performed, and the effect of medication on the brain`s integrity was investigated through comparison before and after 3 months of treatment in the patient group. Tract-based spatial statistics was used for diffusion tensor image analysis. RESULTS In the patient group, functional anisotropy (FA) values were significantly higher at the genu of the corpus callosum, body of the corpus callosum, and right anterior corona radiata than in healthy controls. After 3 months of treatment, FA values were significantly decreased in the left anterior limb of the internal capsule, left posterior limb of the internal capsule, and left superior longitudinal fasciculus. LIMITATIONS The sample size is relatively small and 3-month treatment period was relatively short. CONCLUSION FA values of patients with MDD were increased compared to healthy controls and decreased after treatment. These results suggested that pharmacological treatments in the early stages of MDD might restore the brain`s integrity.
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Kliamovich D, Jones SA, Chiapuzio AM, Baker FC, Clark DB, Nagel BJ. Sex-specific patterns of white matter microstructure are associated with emerging depression during adolescence. Psychiatry Res Neuroimaging 2021; 315:111324. [PMID: 34273656 PMCID: PMC8387429 DOI: 10.1016/j.pscychresns.2021.111324] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 05/17/2021] [Accepted: 06/28/2021] [Indexed: 10/21/2022]
Abstract
Prior research has demonstrated associations between adolescent depression and alterations in the white matter microstructure of fiber tracts implicated in emotion regulation. Using diffusion tensor imaging, this study explored premorbid, sex-specific white matter microstructural features that related to future emergence of major depressive disorder (MDD) during adolescence and young adulthood. Adolescents from the National Consortium on Alcohol and Neurodevelopment in Adolescence study, who were 12-21 years old at study entry and had not experienced major depression as of the baseline assessment, were selected for inclusion (N = 462, n = 223 female adolescents). Over five years of annual follow-up, 63 participants developed a diagnosis of MDD, as determined by the Computerized Semi-Structured Assessment for the Genetics of Alcoholism (n = 39 female adolescents). A whole-brain multivariate modeling approach was used to examine the relationship between fractional anisotropy (FA) at baseline and emergence into MDD, as a function of sex, controlling for age at baseline. Among female adolescents, those who developed MDD had significantly lower baseline FA in a portion of left precentral gyrus white matter, while male adolescents exhibited the opposite pattern. These results may serve as indirect microstructural markers of risk and targets for the prevention of depression during adolescence.
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Affiliation(s)
- Dakota Kliamovich
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, USA
| | - Scott A Jones
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
| | | | - Fiona C Baker
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
| | - Duncan B Clark
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Bonnie J Nagel
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR, USA; Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA.
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50
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Weis CN, Huggins AA, Miskovich TA, Fitzgerald JM, Bennett KP, Krukowski JL, Webb EK, deRoon-Cassini TA, Larson CL. Acute White Matter Integrity Post-trauma and Prospective Posttraumatic Stress Disorder Symptoms. Front Hum Neurosci 2021; 15:742198. [PMID: 34658821 PMCID: PMC8511512 DOI: 10.3389/fnhum.2021.742198] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 09/10/2021] [Indexed: 12/27/2022] Open
Abstract
Background: Little is known about what distinguishes those who are resilient after trauma from those at risk for developing posttraumatic stress disorder (PTSD). Previous work indicates white matter integrity may be a useful biomarker in predicting PTSD. Research has shown changes in the integrity of three white matter tracts-the cingulum bundle, corpus callosum (CC), and uncinate fasciculus (UNC)-in the aftermath of trauma relate to PTSD symptoms. However, few have examined the predictive utility of white matter integrity in the acute aftermath of trauma to predict prospective PTSD symptom severity in a mixed traumatic injury sample. Method: Thus, the current study investigated acute brain structural integrity in 148 individuals being treated for traumatic injuries in the Emergency Department of a Level 1 trauma center. Participants underwent diffusion-weighted magnetic resonance imaging 2 weeks post-trauma and completed several self-report measures at 2-weeks (T1) and 6 months (T2), including the Clinician Administered PTSD Scale for DSM-V (CAPS-5), post-injury. Results: Consistent with previous work, T1 lesser anterior cingulum fractional anisotropy (FA) was marginally related to greater T2 total PTSD symptoms. No other white matter tracts were related to PTSD symptoms. Conclusions: Results demonstrate that in a traumatically injured sample with predominantly subclinical PTSD symptoms at T2, acute white matter integrity after trauma is not robustly related to the development of chronic PTSD symptoms. These findings suggest the timing of evaluating white matter integrity and PTSD is important as white matter differences may not be apparent in the acute period after injury.
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Affiliation(s)
- Carissa N. Weis
- Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, United States
| | - Ashley A. Huggins
- Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, United States
| | | | | | | | | | - E. Kate Webb
- Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, United States
| | - Terri A. deRoon-Cassini
- Division of Trauma and Acute Care Surgery, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Christine L. Larson
- Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, United States
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