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Shu YP, Zhang Q, Hou YZ, Liang S, Zheng ZL, Li JL, Wu G. Multimodal abnormalities of brain structures in adolescents and young adults with major depressive disorder: An activation likelihood estimation meta-analysis. World J Psychiatry 2024; 14:1106-1117. [DOI: 10.5498/wjp.v14.i7.1106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Revised: 05/10/2024] [Accepted: 05/27/2024] [Indexed: 07/12/2024] Open
Abstract
BACKGROUND Major depressive disorder (MDD) in adolescents and young adults contributes significantly to global morbidity, with inconsistent findings on brain structural changes from structural magnetic resonance imaging studies. Activation likelihood estimation (ALE) offers a method to synthesize these diverse findings and identify consistent brain anomalies.
AIM To identify consistent brain structural changes in adolescents and young adults with MDD using ALE meta-analysis.
METHODS We performed a comprehensive literature search in PubMed, Web of Science, Embase, and Chinese National Knowledge Infrastructure databases for neuroimaging studies on MDD among adolescents and young adults published up to November 19, 2023. Two independent researchers performed the study selection, quality assessment, and data extraction. The ALE technique was employed to synthesize findings on localized brain function anomalies in MDD patients, which was supplemented by sensitivity analyses.
RESULTS Twenty-two studies comprising fourteen diffusion tensor imaging (DTI) studies and eight voxel-based morphometry (VBM) studies, and involving 451 MDD patients and 465 healthy controls (HCs) for DTI and 664 MDD patients and 946 HCs for VBM, were included. DTI-based ALE demonstrated significant reductions in fractional anisotropy (FA) values in the right caudate head, right insula, and right lentiform nucleus putamen in adolescents and young adults with MDD compared to HCs, with no regions exhibiting increased FA values. VBM-based ALE did not demonstrate significant alterations in gray matter volume. Sensitivity analyses highlighted consistent findings in the right caudate head (11 of 14 analyses), right insula (10 of 14 analyses), and right lentiform nucleus putamen (11 of 14 analyses).
CONCLUSION Structural alterations in the right caudate head, right insula, and right lentiform nucleus putamen in young MDD patients may contribute to its recurrent nature, offering insights for targeted therapies.
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Affiliation(s)
- Yan-Ping Shu
- Department of Psychiatry of Women and Children, The Second People’s Hospital of Guizhou Province, Guiyang 550000, Guizhou Province, China
| | - Qin Zhang
- Department of Radiology, The Second People’s Hospital of Guizhou Province, Guiyang 550000, Guizhou Province, China
- Department of Radiology, Guizhou Provincial People’s Hospital, Guiyang 550000, Guizhou Province, China
| | - Yong-Zhe Hou
- Department of Psychiatry of Women and Children, The Second People’s Hospital of Guizhou Province, Guiyang 550000, Guizhou Province, China
| | - Shuang Liang
- Department of Radiology, The Second People’s Hospital of Guizhou Province, Guiyang 550000, Guizhou Province, China
| | - Zu-Li Zheng
- Department of Psychiatry of Women and Children, The Second People’s Hospital of Guizhou Province, Guiyang 550000, Guizhou Province, China
| | - Jia-Lin Li
- Medical Humanities College, Guizhou Medical University, Guiyang 550000, Guizhou Province, China
| | - Gang Wu
- Department of Psychiatry of Women and Children, The Second People’s Hospital of Guizhou Province, Guiyang 550000, Guizhou Province, China
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Lyu C, Lyu X, Gong Q, Gao B, Wang Y. Neural activation signatures in individuals with subclinical depression: A task-fMRI meta-analysis. J Affect Disord 2024; 362:104-113. [PMID: 38909758 DOI: 10.1016/j.jad.2024.06.040] [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: 11/04/2023] [Revised: 04/30/2024] [Accepted: 06/14/2024] [Indexed: 06/25/2024]
Abstract
BACKGROUND Previous task-related functional magnetic resonance imaging (task-fMRI) investigations have documented abnormal brain activation associated with subclinical depression (SD), defined as a clinically relevant level of depressive symptoms that does not meet the diagnostic criteria for major depressive disorder. However, these task-fMRI studies have not reported consistent conclusions. Performing a voxel-based meta-analysis of task-fMRI studies may yield reliable findings. METHODS We extracted the peak coordinates and t values of included studies and analyzed brain activation between individuals with SD and healthy controls (HCs) using anisotropic effect-size signed differential mapping (AES-SDM). RESULTS A systematic literature search identified eight studies, including 266 individuals with SD and 281 HCs (aged 14 to 25). The meta-analysis showed that individuals with SD exhibited significantly greater activation in the right lenticular nucleus and putamen according to task-fMRI. The meta-regression analysis revealed a negative correlation between the proportion of females in a group and activation in the right striatum. LIMITATIONS The recruitment criteria for individuals with SD, type of tasks and MRI acquisition parameters of included studies were heterogeneous. The results should be interpreted cautiously due to insufficient included studies. CONCLUSION Our findings suggest that individuals with SD exhibit increased activation in the right lenticular nucleus, putamen and striatum, which may indicate a compensatory increase in response to an impairment of insular and striatal function caused by depression. These results provide valuable insights into the potential pathophysiology of brain dysfunction in SD.
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Affiliation(s)
- Cui Lyu
- Department of Psychiatry, Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Xinyue Lyu
- Department of Radiology, Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Qiyong Gong
- Department of Radiology, Affiliated Hospital of Guizhou Medical University, Guiyang, China; Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Bo Gao
- Department of Radiology, Affiliated Hospital of Guizhou Medical University, Guiyang, China; Key Laboratory of Brain Imaging, Guizhou Medical University, Guiyang, China.
| | - Yiming Wang
- Department of Psychiatry, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
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Miles AE, Rashid SS, Dos Santos FC, Clifford KP, Sibille E, Nikolova YS. Neurodevelopmental signature of a transcriptome-based polygenic risk score for depression. Psychiatry Res 2024; 339:116030. [PMID: 38909414 DOI: 10.1016/j.psychres.2024.116030] [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: 01/25/2024] [Revised: 05/31/2024] [Accepted: 06/12/2024] [Indexed: 06/25/2024]
Abstract
Disentangling the molecular underpinnings of major depressive disorder (MDD) is necessary for identifying new treatment and prevention targets. The functional impact of depression-related transcriptomic changes on the brain remains relatively unexplored. We recently developed a novel transcriptome-based polygenic risk score (tPRS) composed of genes transcriptionally altered in MDD. Here, we sought to investigate effects of tPRS on brain structure in a developmental cohort (Adolescent Brain Cognitive Development study; n = 5124; 2387 female) at baseline (9-10 years) and 2-year follow-up (11-12 years). We tested associations between tPRS and Freesurfer-derived measures of cortical thickness, cortical surface area, and subcortical volume. Across the whole sample, higher tPRS was significantly associated with thicker left posterior cingulate cortex at both baseline and 2-year follow-up. In females only, tPRS was associated with lower right hippocampal volume at baseline and 2-year follow-up, and lower right pallidal volume at baseline. Furthermore, regional subcortical volume significantly mediated an indirect effect of tPRS on depressive symptoms in females at both timepoints. Conversely, tPRS did not have significant effects on cortical surface area. These findings suggest the existence of a sex-specific neurodevelopmental signature associated with shifts towards a more depression-like brain transcriptome, and highlight novel pathways of developmentally mediated MDD risk.
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Affiliation(s)
- Amy E Miles
- Campbell Family Mental Health Research Institute at the Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Sarah S Rashid
- Campbell Family Mental Health Research Institute at the Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Fernanda C Dos Santos
- Campbell Family Mental Health Research Institute at the Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Kevan P Clifford
- Campbell Family Mental Health Research Institute at the Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Etienne Sibille
- Campbell Family Mental Health Research Institute at the Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Yuliya S Nikolova
- Campbell Family Mental Health Research Institute at the Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.
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4
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Yang J, Guo H, Cai A, Zheng J, Liu J, Xiao Y, Ren S, Sun D, Duan J, Zhao T, Tang J, Zhang X, Zhu R, Wang J, Wang F. Aberrant Hippocampal Development in Early-onset Mental Disorders and Promising Interventions: Evidence from a Translational Study. Neurosci Bull 2024; 40:683-694. [PMID: 38141109 PMCID: PMC11178726 DOI: 10.1007/s12264-023-01162-2] [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: 04/20/2023] [Accepted: 08/01/2023] [Indexed: 12/24/2023] Open
Abstract
Early-onset mental disorders are associated with disrupted neurodevelopmental processes during adolescence. The methylazoxymethanol acetate (MAM) animal model, in which disruption in neurodevelopmental processes is induced, mimics the abnormal neurodevelopment associated with early-onset mental disorders from an etiological perspective. We conducted longitudinal structural magnetic resonance imaging (MRI) scans during childhood, adolescence, and adulthood in MAM rats to identify specific brain regions and critical windows for intervention. Then, the effect of repetitive transcranial magnetic stimulation (rTMS) intervention on the target brain region during the critical window was investigated. In addition, the efficacy of this intervention paradigm was tested in a group of adolescent patients with early-onset mental disorders (diagnosed with major depressive disorder or bipolar disorder) to evaluate its clinical translational potential. The results demonstrated that, compared to the control group, the MAM rats exhibited significantly lower striatal volume from childhood to adulthood (all P <0.001). In contrast, the volume of the hippocampus did not show significant differences during childhood (P >0.05) but was significantly lower than the control group from adolescence to adulthood (both P <0.001). Subsequently, rTMS was applied to the occipital cortex, which is anatomically connected to the hippocampus, in the MAM models during adolescence. The MAM-rTMS group showed a significant increase in hippocampal volume compared to the MAM-sham group (P <0.01), while the volume of the striatum remained unchanged (P >0.05). In the clinical trial, adolescents with early-onset mental disorders showed a significant increase in hippocampal volume after rTMS treatment compared to baseline (P <0.01), and these volumetric changes were associated with improvement in depressive symptoms (r = - 0.524, P = 0.018). These findings highlight the potential of targeting aberrant hippocampal development during adolescence as a viable intervention for early-onset mental disorders with neurodevelopmental etiology as well as the promise of rTMS as a therapeutic approach for mitigating aberrant neurodevelopmental processes and alleviating clinical symptoms.
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Affiliation(s)
- Jingyu Yang
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Huiling Guo
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
- School of Biomedical Engineering and Informatics, Nanjing, Medical University, Nanjing, 211166, China
| | - Aoling Cai
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
- School of Biomedical Engineering and Informatics, Nanjing, Medical University, Nanjing, 211166, China
- The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou Second People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, 213004, China
| | - Junjie Zheng
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Juan Liu
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Yao Xiao
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Sihua Ren
- Department of Radiology, First Hospital of China Medical University, Shenyang, 110002, China
| | - Dandan Sun
- Department of Cardiac Function, The People's Hospital of China Medical University and the People's Hospital of Liaoning Province, Shenyang, 110067, China
| | - Jia Duan
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Tongtong Zhao
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Jingwei Tang
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Xizhe Zhang
- School of Biomedical Engineering and Informatics, Nanjing, Medical University, Nanjing, 211166, China
| | - Rongxin Zhu
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China.
| | - Jie Wang
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, 430064, China.
- Institute of Neuroscience and Brain Diseases; Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, 441021, China.
| | - Fei Wang
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China.
- Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, 210029, China.
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Tose K, Takamura T, Isobe M, Hirano Y, Sato Y, Kodama N, Yoshihara K, Maikusa N, Moriguchi Y, Noda T, Mishima R, Kawabata M, Noma S, Takakura S, Gondo M, Kakeda S, Takahashi M, Ide S, Adachi H, Hamatani S, Kamashita R, Sudo Y, Matsumoto K, Nakazato M, Numata N, Hamamoto Y, Shoji T, Muratsubaki T, Sugiura M, Murai T, Fukudo S, Sekiguchi A. Systematic reduction of gray matter volume in anorexia nervosa, but relative enlargement with clinical symptoms in the prefrontal and posterior insular cortices: a multicenter neuroimaging study. Mol Psychiatry 2024; 29:891-901. [PMID: 38246936 PMCID: PMC11176065 DOI: 10.1038/s41380-023-02378-4] [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: 02/05/2023] [Revised: 12/04/2023] [Accepted: 12/13/2023] [Indexed: 01/23/2024]
Abstract
Although brain morphological abnormalities have been reported in anorexia nervosa (AN), the reliability and reproducibility of previous studies were limited due to insufficient sample sizes, which prevented exploratory analysis of the whole brain as opposed to regions of interest (ROIs). Objective was to identify brain morphological abnormalities in AN and the association with severity of AN by brain structural magnetic resonance imaging (MRI) in a multicenter study, and to conduct exploratory analysis of the whole brain. Here, we conducted a cross-sectional multicenter study using T1-weighted imaging (T1WI) data collected between May 2014 and February 2019 in Japan. We analyzed MRI data from 103 female AN patients (58 anorexia nervosa restricting type [ANR] and 45 anorexia nervosa binge-purging type [ANBP]) and 102 age-matched female healthy controls (HC). MRI data from five centers were preprocessed using the latest harmonization method to correct for intercenter differences. Gray matter volume (GMV) was calculated from T1WI data of all participants. Of the 205 participants, we obtained severity of eating disorder symptom scores from 179 participants, including 87 in the AN group (51 ANR, 36 ANBP) and 92 HC using the Eating Disorder Examination Questionnaire (EDE-Q) 6.0. GMV reduction were observed in the AN brain, including the bilateral cerebellum, middle and posterior cingulate gyrus, supplementary motor cortex, precentral gyrus medial segment, and thalamus. In addition, the orbitofrontal cortex (OFC), ventromedial prefrontal cortex (vmPFC), rostral anterior cingulate cortex (ACC), and posterior insula volumes showed positive correlations with severity of symptoms. This multicenter study was conducted with a large sample size to identify brain morphological abnormalities in AN. The findings provide a better understanding of the pathogenesis of AN and have potential for the development of brain imaging biomarkers of AN. Trial Registration: UMIN000017456. https://center6.umin.ac.jp/cgi-open-bin/icdr/ctr_view.cgi?recptno=R000019303 .
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Affiliation(s)
- Keima Tose
- Department of Psychiatry, Graduate School of Medicine, Kyoto University Hospital, Kyoto, Japan
| | - Tsunehiko Takamura
- Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Masanori Isobe
- Department of Psychiatry, Graduate School of Medicine, Kyoto University Hospital, Kyoto, Japan
| | - Yoshiyuki Hirano
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Japan
| | - Yasuhiro Sato
- Department of Psychosomatic Medicine, Tohoku University Hospital, Sendai, Japan
| | - Naoki Kodama
- Division of Psychosomatic Medicine, Department of Neurology, University of Occupational and Environment Health, Kitakyushu, Japan
| | - Kazufumi Yoshihara
- Department of Psychosomatic Medicine, Kyushu University Hospital, Fukuoka, Japan
| | - Norihide Maikusa
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Tokyo, Japan
| | - Yoshiya Moriguchi
- Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Tomomi Noda
- Department of Psychiatry, Graduate School of Medicine, Kyoto University Hospital, Kyoto, Japan
| | - Ryo Mishima
- Department of Psychiatry, Graduate School of Medicine, Kyoto University Hospital, Kyoto, Japan
| | - Michiko Kawabata
- Department of Psychiatry, Graduate School of Medicine, Kyoto University Hospital, Kyoto, Japan
| | - Shun'ichi Noma
- Department of Psychiatry, Graduate School of Medicine, Kyoto University Hospital, Kyoto, Japan
- Nomakokoro Clinic, Kyoto, Japan
| | - Shu Takakura
- Department of Psychosomatic Medicine, Kyushu University Hospital, Fukuoka, Japan
| | - Motoharu Gondo
- Department of Psychosomatic Medicine, Kyushu University Hospital, Fukuoka, Japan
| | - Shingo Kakeda
- Department of Radiology, Hirosaki University Graduate School of Medicine, Aomori, Japan
| | - Masatoshi Takahashi
- Division of Psychosomatic Medicine, Department of Neurology, University of Occupational and Environment Health, Kitakyushu, Japan
| | - Satoru Ide
- Department of Radiology, University of Occupational and Environmental Health, School of Medicine, Kitakyushu, Japan
| | - Hiroaki Adachi
- Department of Neurology, University of Occupational and Environmental Health School of Medicine, Kitakyushu, Japan
| | - Sayo Hamatani
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Japan
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan
| | - Rio Kamashita
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Japan
| | - Yusuke Sudo
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - Koji Matsumoto
- Department of Radiology, Chiba University Hospital, Chiba, Japan
| | - Michiko Nakazato
- Department of Psychiatry, International University of Health and Welfare, School of Medicine, Narita, Japan
| | - Noriko Numata
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Japan
- Department of Cognitive Behavioral Physiology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Yumi Hamamoto
- Department of Psychology, Northumbria University, Newcastle-upon-Tyne, United Kingdom
- Department of Human Brain Science, Institute of Development, Aging, and Cancer, Tohoku University, Sendai, Japan
| | - Tomotaka Shoji
- Department of Psychosomatic Medicine, Tohoku University Hospital, Sendai, Japan
- Department of Internal Medicine, Nagamachi Hospital, Sendai, Japan
- Department of Psychosomatic Medicine, Tohoku University School of Medicine, Sendai, Japan
| | - Tomohiko Muratsubaki
- Department of Psychosomatic Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Motoaki Sugiura
- Department of Human Brain Science, Institute of Development, Aging, and Cancer, Tohoku University, Sendai, Japan
- Cognitive Sciences Lab, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Toshiya Murai
- Department of Psychiatry, Graduate School of Medicine, Kyoto University Hospital, Kyoto, Japan
| | - Shin Fukudo
- Department of Psychosomatic Medicine, Tohoku University Hospital, Sendai, Japan
- Department of Psychosomatic Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Atsushi Sekiguchi
- Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.
- Center for Eating Disorder Research and Information, National Center of Neurology and Psychiatry, Tokyo, Japan.
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan.
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Damme KSF, Vargas TG, Walther S, Shankman SA, Mittal VA. Physical and mental health in adolescence: novel insights from a transdiagnostic examination of FitBit data in the ABCD study. Transl Psychiatry 2024; 14:75. [PMID: 38307840 PMCID: PMC10837202 DOI: 10.1038/s41398-024-02794-2] [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: 08/16/2023] [Revised: 01/16/2024] [Accepted: 01/18/2024] [Indexed: 02/04/2024] Open
Abstract
Adolescence is among the most vulnerable period for the emergence of serious mental illnesses. Addressing this vulnerability has generated interest in identifying markers of risk for symptoms and opportunities for early intervention. Physical fitness has been linked to psychopathology and may be a useful risk marker and target for early intervention. New wearable technology has made assessing fitness behavior more practical while avoiding recall and self-report bias. Still, questions remain regarding the clinical utility of physical fitness metrics for mental health, both transdiagnostically and along specific symptom dimensions. The current study includes 5007 adolescents (ages 10-13) who participated in the Adolescent Brain Cognitive Development (ABCD) study and additional sub-study that collected fitness data from wearable technology and clinical symptom measures. Physical fitness metrics included resting heart rate (RHR- an index of cardiovascular health), time spent sedentary (associated with increased inflammation and cardiovascular disease), and time spent in moderate physical activity (associated with increased neurogenesis, neuroplasticity, and healthy neurodevelopment). Self-report clinical symptoms included measures of psychosis-like experiences (PLE), internalizing symptoms, and externalizing symptoms. Increased RHR- lower cardiovascular fitness- related only to greater internalizing symptoms (t = 3.63). More sedentary behavior related to elevated PLE severity (t = 5.49). More moderate activity related to lower PLE (t = -2.69) and internalizing (t = -6.29) symptom severity. Wearable technology fitness metrics linked physical health to specific mental health dimensions, which emphasizes the utility of detailed digital health data as a marker for risk and the need for precision in targeting physical health behaviors to benefit symptoms of psychopathology.
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Affiliation(s)
- Katherine S F Damme
- Department of Psychology, Northwestern University, Evanston, IL, USA.
- Institute for Innovations in Developmental Sciences (DevSci), Northwestern University, Evanston and Chicago, IL, USA.
| | - Teresa G Vargas
- Department of Psychology, Harvard University, Cambridge, MA, USA
| | - Sebastian Walther
- University of Bern, University Hospital of Psychiatry, Translational Research Center, Bern, Switzerland
| | | | - Vijay A Mittal
- Department of Psychology, Northwestern University, Evanston, IL, USA
- Institute for Innovations in Developmental Sciences (DevSci), Northwestern University, Evanston and Chicago, IL, USA
- Department of Psychiatry, Northwestern University, Chicago, IL, USA
- Medical Social Sciences, Northwestern University, Chicago, IL, USA
- Institute for Policy Research (IPR), Northwestern University, Chicago, IL, USA
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7
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Holt-Gosselin B, Keding TJ, Poulin R, Brieant A, Rueter A, Hendrickson TJ, Perrone A, Byington N, Houghton A, Miranda-Dominguez O, Feczko E, Fair DA, Joormann J, Gee DG. Neural Circuit Markers of Familial Risk for Depression Among Healthy Youths in the Adolescent Brain Cognitive Development Study. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:185-195. [PMID: 37182734 PMCID: PMC10640659 DOI: 10.1016/j.bpsc.2023.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 05/01/2023] [Accepted: 05/02/2023] [Indexed: 05/16/2023]
Abstract
BACKGROUND Family history of depression is a robust predictor of early-onset depression, which may confer risk through alterations in neural circuits that have been implicated in reward and emotional processing. These alterations may be evident in youths who are at familial risk for depression but who do not currently have depression. However, the identification of robust and replicable findings has been hindered by few studies and small sample sizes. In the current study, we sought to identify functional connectivity (FC) patterns associated with familial risk for depression. METHODS Participants included healthy (i.e., no lifetime psychiatric diagnoses) youths at high familial risk for depression (HR) (n = 754; at least one parent with a history of depression) and healthy youths at low familial risk for psychiatric problems (LR) (n = 1745; no parental history of psychopathology) who were 9 to 10 years of age and from the Adolescent Brain Cognitive Development (ABCD) Study sample. We conducted whole-brain seed-to-voxel analyses to examine group differences in resting-state FC with the amygdala, caudate, nucleus accumbens, and putamen. We hypothesized that HR youths would exhibit global amygdala hyperconnectivity and striatal hypoconnectivity patterns primarily driven by maternal risk. RESULTS HR youths exhibited weaker caudate-angular gyrus FC than LR youths (α = 0.04, Cohen's d = 0.17). HR youths with a history of maternal depression specifically exhibited weaker caudate-angular gyrus FC (α = 0.03, Cohen's d = 0.19) as well as weaker caudate-dorsolateral prefrontal cortex FC (α = 0.04, Cohen's d = 0.21) than LR youths. CONCLUSIONS Weaker striatal connectivity may be related to heightened familial risk for depression, primarily driven by maternal history. Identifying brain-based markers of depression risk in youths can inform approaches to improving early detection, diagnosis, and treatment.
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Affiliation(s)
- Bailey Holt-Gosselin
- Department of Psychology, Yale University, New Haven, Connecticut; Interdepartmental Neuroscience Graduate Program, Yale University School of Medicine, New Haven, Connecticut
| | - Taylor J Keding
- Department of Psychology, Yale University, New Haven, Connecticut; Child Study Center, Yale School of Medicine, New Haven, Connecticut
| | - Rhayna Poulin
- Department of Psychology, Yale University, New Haven, Connecticut
| | - Alexis Brieant
- Department of Psychology, Yale University, New Haven, Connecticut
| | - Amanda Rueter
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Timothy J Hendrickson
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Anders Perrone
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Nora Byington
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Audrey Houghton
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | | | - Eric Feczko
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Damien A Fair
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Jutta Joormann
- Department of Psychology, Yale University, New Haven, Connecticut
| | - Dylan G Gee
- Department of Psychology, Yale University, New Haven, Connecticut.
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8
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Hurtado H, Hansen M, Strack J, Vainik U, Decker AL, Khundrakpam B, Duncan K, Finn AS, Mabbott DJ, Merz EC. Polygenic risk for depression and anterior and posterior hippocampal volume in children and adolescents. J Affect Disord 2024; 344:619-627. [PMID: 37858734 PMCID: PMC10842073 DOI: 10.1016/j.jad.2023.10.068] [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: 04/07/2023] [Revised: 09/25/2023] [Accepted: 10/09/2023] [Indexed: 10/21/2023]
Abstract
BACKGROUND Depression has frequently been associated with smaller hippocampal volume. The hippocampus varies in function along its anterior-posterior axis, with the anterior hippocampus more strongly associated with stress and emotion processing. The goals of this study were to examine the associations among parental history of anxiety/depression, polygenic risk scores for depression (PGS-DEP), and anterior and posterior hippocampal volumes in children and adolescents. To examine specificity to PGS-DEP, we examined associations of educational attainment polygenic scores (PGS-EA) with anterior and posterior hippocampal volume. METHODS Participants were 350 3- to 21-year-olds (46 % female). PGS-DEP and PGS-EA were computed based on recent, large-scale genome-wide association studies. High-resolution, T1-weighted magnetic resonance imaging (MRI) data were acquired, and a semi-automated approach was used to segment the hippocampus into anterior and posterior subregions. RESULTS Children and adolescents with higher polygenic risk for depression were more likely to have a parent with a history of anxiety/depression. Higher polygenic risk for depression was significantly associated with smaller anterior but not posterior hippocampal volume. PGS-EA was not associated with anterior or posterior hippocampal volumes. LIMITATIONS Participants in these analyses were all of European ancestry. CONCLUSIONS Polygenic risk for depression may lead to smaller anterior but not posterior hippocampal volume in children and adolescents, and there may be specificity of these effects to PGS-DEP rather than PGS-EA. These findings may inform the earlier identification of those in need of support and the design of more effective, personalized treatment strategies. DECLARATIONS OF INTEREST none. DECLARATIONS OF INTEREST None.
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Affiliation(s)
- Hailee Hurtado
- Department of Psychology, Colorado State University, Fort Collins, CO, USA
| | - Melissa Hansen
- Department of Psychology, Colorado State University, Fort Collins, CO, USA
| | - Jordan Strack
- Department of Psychology, Colorado State University, Fort Collins, CO, USA
| | - Uku Vainik
- University of Tartu, Tartu, Estonia; Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Alexandra L Decker
- Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - Katherine Duncan
- Department of Psychology, University of Toronto, Toronto, ON, Canada
| | - Amy S Finn
- Department of Psychology, University of Toronto, Toronto, ON, Canada
| | - Donald J Mabbott
- Department of Psychology, University of Toronto, Toronto, ON, Canada.; Neurosciences and Mental Health, Hospital for Sick Children, Toronto, ON, Canada.; Department of Psychology, Hospital for Sick Children, Toronto, ON, Canada
| | - Emily C Merz
- Department of Psychology, Colorado State University, Fort Collins, CO, USA.
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9
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Damme K, Vargas T, Walther S, Shankman S, Mittal V. Physical and Mental Health in Adolescence: Novel Insights from a transdiagnostic examination of FitBit data in the ABCD Study. RESEARCH SQUARE 2023:rs.3.rs-3270112. [PMID: 37886441 PMCID: PMC10602093 DOI: 10.21203/rs.3.rs-3270112/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Adolescence is among the most vulnerable period for the emergence of serious mental illnesses. Addressing this vulnerability has generated interest in identifying markers of risk for symptoms and opportunities for early intervention. Physical fitness has been linked to psychopathology and may be a useful risk marker and target for early intervention. New wearable technology has made assessing fitness behavior more practical while avoiding recall and self-report bias. Still, questions remain regarding the clinical utility of physical fitness metrics for mental health, both transdiagnostically and along specific symptom dimensions. The current study includes 5007 adolescents (ages 10 to 13) who participated in the Adolescent Brain Cognitive Development (ABCD) study and additional sub-study that collected fitness data from wearable technology and clinical symptom measures. Physical fitness metrics included resting heart rate (RHR- an index of cardiovascular health), time spent sedentary (associated with increased inflammation and cardiovascular disease), and time spent in moderate physical activity (associated with increased neurogenesis, neuroplasticity, and healthy neurodevelopment). Self-report clinical symptoms included measures of internalizing symptoms, externalizing symptoms, and psychosis-like experiences - PLE). Increased RHR- lower cardiovascular fitness- related only to greater internalizing symptoms (t = 3.63). More sedentary behavior related to elevated PLE severity (t = 5.49). More moderate activity related to lower PLE (t=-2.69) and internalizing (t=-6.29) symptom severity. Wearable technology fitness metrics linked physical health to specific mental health dimensions, which emphasizes the utility of detailed digital health data as a marker for risk and the need for precision in targeting physical health behaviors to benefit symptoms of psychopathology.
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10
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Kemp J, Chenji S, MacMaster F, Bray S, Kopala-Sibley DC. Associations between parental depression and anxiety symptom severity and their Offspring's cortical thickness and subcortical volume. J Psychiatr Res 2023; 166:139-146. [PMID: 37774665 DOI: 10.1016/j.jpsychires.2023.09.014] [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: 11/02/2022] [Revised: 07/13/2023] [Accepted: 09/15/2023] [Indexed: 10/01/2023]
Abstract
Depression and anxiety are associated with grey matter changes in subcortical regions in adults and adolescents. Parent psychopathology is associated with offspring brain structure, but it's unclear whether altered brain structure in children is associated with severity of parental depression and anxiety symptoms. We examined 123 youth (Mean age = 13.64; 62% female) with no clinically significant history of depression or anxiety and one parent diagnosed with current or past depressive or anxiety disorders. Parents completed the Mini International Neuropsychiatric Interview to assess diagnostic status and the Beck Depression Inventory-II, and the Generalized Anxiety Disorder-7 to assess current symptom severity. Youth underwent T1 weighted structural Magnetic Resonance Imaging scans. Bivariate analyses revealed higher parental depressive severity was not significantly associated with offspring grey matter. Parental anxiety severity was significantly associated with less left global surface area. When controlling for offspring age, sex and intracranial volume (ICV), offspring right surface area was negatively associated with parental depressive severity at a trend level. In previously depressed parents, greater parental depressive severity was significantly associated with offspring decreased left and right surface area. There were no significant associations between parental anxiety severity in previously depressed parents and offspring subcortical or cortical brain regions. These results highlight associations between parental depressive symptom severity and offspring brain structure and suggest that even within an already high-risk group of adolescents, there may be altered cortical surface area depending on parent symptom severity. This may help identify youth most at risk for developing a mood disorder and could help further early intervention and identification efforts.
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Affiliation(s)
- Jennifer Kemp
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, Calgary, AB, Canada; Mathison Centre for Mental Health Research & Education, Calgary, AB, Canada.
| | - Sneha Chenji
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute, Calgary, AB, Canada; Hotchkiss Brain Institute, Calgary, AB, Canada; Mathison Centre for Mental Health Research & Education, Calgary, AB, Canada
| | - Frank MacMaster
- IWK Health, Halifax, NS, Canada; Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Signe Bray
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute, Calgary, AB, Canada; Hotchkiss Brain Institute, Calgary, AB, Canada; Mathison Centre for Mental Health Research & Education, Calgary, AB, Canada
| | - Daniel C Kopala-Sibley
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute, Calgary, AB, Canada; Hotchkiss Brain Institute, Calgary, AB, Canada; Mathison Centre for Mental Health Research & Education, Calgary, AB, Canada
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11
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Kelsall NC, Wang Y, Gameroff MJ, Cha J, Posner J, Talati A, Weissman MM, van Dijk MT. Differences in White Matter Structural Networks in Family Risk of Major Depressive Disorder and Suicidality: A Connectome Analysis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.07.23295211. [PMID: 37732277 PMCID: PMC10508803 DOI: 10.1101/2023.09.07.23295211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
Background Depression and suicide are leading global causes of disability and death and are highly familial. Family and individual history of depression are associated with neurobiological differences including decreased white matter connectivity; however, this has only been shown for individual regions. We use graph theory models to account for the network structure of the brain with high levels of specialization and integration and examine whether they differ by family history of depression or of suicidality within a three-generation longitudinal family study with well-characterized clinical histories. Methods Clinician interviews across three generations were used to classify family risk of depression and suicidality. Then, we created weighted network models using 108 cortical and subcortical regions of interest for 96 individuals using diffusion tensor imaging derived fiber tracts. Global and local summary measures (clustering coefficient, characteristic path length, and global and local efficiencies) and network-based statistics were utilized for group comparison of family history of depression and, separately, of suicidality, adjusted for personal psychopathology. Results Clustering coefficient (connectivity between neighboring regions) was lower in individuals at high family risk of depression and was associated with concurrent clinical symptoms. Network-based statistics showed hypoconnected subnetworks in individuals with high family risk of depression and of suicidality, after controlling for personal psychopathology. These subnetworks highlighted cortical-subcortical connections including between the superior frontal cortex, thalamus, precuneus, and putamen. Conclusions Family history of depression and of suicidality are associated with hypoconnectivity between subcortical and cortical regions, suggesting brain-wide impaired information processing, even in those personally unaffected.
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12
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Mattoni M, Hopman HJ, Dadematthews A, Chan SSM, Olino TM. Specificity of associations between parental psychopathology and offspring brain structure. Psychiatry Res Neuroimaging 2023; 334:111684. [PMID: 37499380 PMCID: PMC10530479 DOI: 10.1016/j.pscychresns.2023.111684] [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: 03/07/2023] [Revised: 05/23/2023] [Accepted: 06/27/2023] [Indexed: 07/29/2023]
Abstract
Multiple forms of parental psychopathology have been associated with differences in subcortical brain volume. However, few studies have considered the role of comorbidity. Here, we examine if alterations in child subcortical brain structure are specific to parental depression, anxiety, mania, or alcohol/substance use parental psychopathology, common across these disorders, or altered by a history of multiple disorders. We examined 6581 children aged 9 to 10 years old from the ABCD study with no history of mental disorders. We found several significant interactions such that the effects of a parental history of depression, anxiety, and substance use problems on amygdala and striatal volumes were moderated by comorbid parental history of another disorder. Interactions tended to suggest smaller volumes in the presence of a comorbid disorder. However, effect sizes were small, and no associations remained significant after correcting for multiple comparisons. Results suggest that associations between familial risk for psychopathology and offspring brain structure in 9-10-year-olds are modest, and relationships that do exist tend to implicate the amygdala and striatal regions and are moderated by a comorbid parental psychopathology history. Several methodological factors, including controlling for intracranial volume and other forms of parental psychopathology and excluding child psychopathology, likely contribute to inconsistencies in the literature.
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Affiliation(s)
- Matthew Mattoni
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA.
| | - Helene J Hopman
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong SAR China
| | | | - Sandra S M Chan
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong SAR China
| | - Thomas M Olino
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA
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13
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Ojha A, Teresi GI, Slavich GM, Gotlib IH, Ho TC. Social threat, fronto-cingulate-limbic morphometry, and symptom course in depressed adolescents: a longitudinal investigation. Psychol Med 2023; 53:5203-5217. [PMID: 36117278 PMCID: PMC10024647 DOI: 10.1017/s0033291722002239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 05/05/2022] [Accepted: 06/28/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND Psychosocial stressors characterized by social threat, such as interpersonal loss and social rejection, are associated with depression in adolescents. Few studies, however, have examined whether social threat affects fronto-cingulate-limbic systems implicated in adolescent depression. METHODS We assessed lifetime stressor severity across several domains using the Stress and Adversity Inventory (STRAIN) in 57 depressed adolescents (16.15 ± 1.32 years, 34 females), and examined whether the severity of social threat and non-social threat stressors was associated with gray matter volumes (GMVs) in the anterior cingulate cortex (ACC), amygdala, hippocampus, and nucleus accumbens (NAcc). We also examined how lifetime social threat severity and GMVs in these regions related to depressive symptoms at baseline and over 9 months. RESULTS General stressor severity was related to greater depression severity at baseline and over 9 months. Moreover, greater severity of social threat (but not non-social threat) stressors was associated with smaller bilateral amygdala and NAcc GMVs, and smaller bilateral surface areas of caudal and rostral ACC (all pFDR ⩽ 0.048). However, neither social threat nor non-social threat stressor severity was related to hippocampal GMVs (all pFDR ⩾ 0.318). All fronto-cingulate-limbic structures that were associated with the severity of social threat were negatively associated with greater depression severity over 9 months (all pFDR ⩽ 0.014). Post-hoc analyses suggested that gray matter morphometry of bilateral amygdala, NAcc, and rostral and caudal ACC mediated the association between social threat and depression severity in adolescents over 9 months (all pFDR < 0.048). CONCLUSIONS Social threat specifically affects fronto-cingulate-limbic pathways that contribute to the maintenance of depression in adolescents.
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Affiliation(s)
- Amar Ojha
- Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA, USA
| | - Giana I. Teresi
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - George M. Slavich
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Ian H. Gotlib
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Tiffany C. Ho
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
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14
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Fu YJ, Liu X, Wang XY, Li X, Dai LQ, Ren WY, Zeng YM, Li ZL, Yu RQ. Abnormal volumetric brain morphometry and cerebral blood flow in adolescents with depression. World J Psychiatry 2023; 13:386-396. [PMID: 37383288 PMCID: PMC10294138 DOI: 10.5498/wjp.v13.i6.386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/15/2023] [Accepted: 05/25/2023] [Indexed: 06/19/2023] Open
Abstract
BACKGROUND Prior research has demonstrated that the brains of adolescents with depression exhibit distinct structural alterations. However, preliminary studies have documented the pathophysiological changes in certain brain regions, such as the cerebellum, highlighting a need for further research to support the current understanding of this disease.
AIM To study brain changes in depressed adolescents.
METHODS This study enrolled 34 adolescents with depression and 34 age-, sex-, and education-level-matched healthy control (HC) individuals. Structural and functional alterations were identified when comparing the brains of these two participant groups through voxel-based morphometry and cerebral blood flow (CBF) analysis, respectively. Associations between identified brain alterations and the severity of depressive symptoms were explored through Pearson correlation analyses.
RESULTS The cerebellum, superior frontal gyrus, cingulate gyrus, pallidum, middle frontal gyrus, angular gyrus, thalamus, precentral gyrus, inferior temporal gyrus, superior temporal gyrus, inferior frontal gyrus, and supplementary motor areas of adolescents with depression showed an increase in brain volume compared to HC individuals. These patients with depression further presented with a pronounced drop in CBF in the left pallidum (group = 98, and peak t = - 4.4324), together with increased CBF in the right percental gyrus (PerCG) (group = 90, and peak t = 4.5382). In addition, 17-item Hamilton Depression Rating Scale scores were significantly correlated with the increased volume in the opercular portion of the left inferior frontal gyrus (r = - 0.5231, P < 0.01).
CONCLUSION The right PerCG showed structural and CBF changes, indicating that research on this part of the brain could offer insight into the pathophysiological causes of impaired cognition.
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Affiliation(s)
- Yu-Jia Fu
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Xiao Liu
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Xing-Yu Wang
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Xiao Li
- Department of Psychiatry, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Lin-Qi Dai
- Department of Psychiatry, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Wen-yu Ren
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Yong-Ming Zeng
- Department of Radiology, Chongqing HongRen Yi Hospital, Chongqing 408400, China
| | - Zhen-Lin Li
- Department of Radiology, West China Hospital, Chengdu 610041, Sichuan Province, China
| | - Ren-Qiang Yu
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
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15
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Vargas TG, Mittal VA. Brain morphometry points to emerging patterns of psychosis, depression, and anxiety vulnerability over a 2-year period in childhood. Psychol Med 2023; 53:3322-3334. [PMID: 37323064 PMCID: PMC10276191 DOI: 10.1017/s0033291721005304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Gray matter morphometry studies have lent seminal insights into the etiology of mental illness. Existing research has primarily focused on adults and then, typically on a single disorder. Examining brain characteristics in late childhood, when the brain is preparing to undergo significant adolescent reorganization and various forms of serious psychopathology are just first emerging, may allow for a unique and highly important perspective of overlapping and unique pathogenesis. METHODS A total of 8645 youth were recruited as part of the Adolescent Brain and Cognitive Development study. Magnetic resonance imaging scans were collected, and psychotic-like experiences (PLEs), depressive, and anxiety symptoms were assessed three times over a 2-year period. Cortical thickness, surface area, and subcortical volume were used to predict baseline symptomatology and symptom progression over time. RESULTS Some features could possibly signal common vulnerability, predicting progression across forms of psychopathology (e.g. superior frontal and middle temporal regions). However, there was a specific predictive value for emerging PLEs (lateral occipital and precentral thickness), anxiety (parietal thickness/area and cingulate), and depression (e.g. parahippocampal and inferior temporal). CONCLUSION Findings indicate common and distinct patterns of vulnerability for varying forms of psychopathology are present during late childhood, before the adolescent reorganization, and have direct relevance for informing novel conceptual models along with early prevention and intervention efforts.
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Affiliation(s)
- Teresa G Vargas
- Northwestern University, Swift Hall 102, 2029 Sheridan Road, Evanston, IL 60201, USA
| | - Vijay A Mittal
- Northwestern University, Swift Hall 102, 2029 Sheridan Road, Evanston, IL 60201, USA
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16
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Burkhouse KL, Kujawa A. Annual Research Review: Emotion processing in offspring of mothers with depression diagnoses - a systematic review of neural and physiological research. J Child Psychol Psychiatry 2023; 64:583-607. [PMID: 36511171 DOI: 10.1111/jcpp.13734] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/25/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Theories of the intergenerational transmission of depression emphasize alterations in emotion processing among offspring of depressed mothers as a key risk mechanism, raising questions about biological processes contributing to these alterations. The objective of this systematic annual research review was to examine and integrate studies of the associations between maternal depression diagnoses and offspring's emotion processing from birth through adolescence across biological measures including autonomic psychophysiology, electroencephalography (EEG), magnetoencephalography (MEG), event-related potentials (ERP), and structural and functional magnetic resonance imaging (MRI). METHODS The review was conducted in accordance with the PRISMA 2020 standards. A systematic search was conducted in PsycInfo and PubMed in 2022 for studies that included, 1) mothers with and without DSM-defined depressive disorders assessed via a clinical or diagnostic interview, and 2) measures of offspring emotion processing assessed at the psychophysiological or neural level between birth and 18 years of age. RESULTS Findings from 64 studies indicated that young offspring of mothers with depression histories exhibit heightened corticolimbic activation to negative emotional stimuli, reduced left frontal brain activation, and reduced ERP and mesocorticolimbic responses to reward cues compared to offspring of never-depressed mothers. Further, activation of resting-state networks involved in affective processing differentiate offspring of depressed relative to nondepressed mothers. Some of these alterations were only apparent among youth of depressed mothers exposed to negative environmental contexts or exhibiting current emotional problems. Further, some of these patterns were observable in infancy, reflecting very early emerging vulnerabilities. CONCLUSIONS This systematic review provides evidence that maternal depression is associated with alterations in emotion processing across several biological units of analysis in offspring. We present a preliminary conceptual model of the role of deficient emotion processing in pathways from maternal depression to offspring psychopathology and discuss future research avenues addressing limitations of the existing research and clinical implications.
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Affiliation(s)
- Katie L Burkhouse
- The Research Institute, Nationwide Children's Hospital, Columbus, OH, USA.,Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA
| | - Autumn Kujawa
- Department of Psychology and Human Development, Vanderbilt University, Nashville, TN, USA
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17
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Pellowski JA, Wedderburn CJ, Groenewold NA, Roos A, Subramoney S, Hoffman N, Fouche JP, Joshi SH, Woods RP, Narr KL, Zar HJ, Donald KA, Stein DJ. Maternal perinatal depression and child brain structure at 2-3 years in a South African birth cohort study. Transl Psychiatry 2023; 13:96. [PMID: 36941258 PMCID: PMC10027817 DOI: 10.1038/s41398-023-02395-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 02/24/2023] [Accepted: 03/03/2023] [Indexed: 03/23/2023] Open
Abstract
Maternal perinatal depression is associated with risk of adverse child developmental outcomes and differences in offspring brain structure. Evidence from low- and middle-income countries is lacking as is an investigation of antenatal, postnatal, and persistent depression in the same sample. In a South African birth cohort, we investigated the effect of antenatal and postpartum maternal depressive symptoms on offspring brain structure at 2-3 years of age. Magnetic resonance imaging was performed, extracting cortical thickness and surface areas in frontal cortex regions of interest and subcortical volumes using FreeSurfer software. Maternal depressive symptoms were measured using the Edinburgh Postpartum Depression Scale and the Beck Depression Inventory II antenatally and at 6-10 weeks, 6 months, 12 months, and 18 months postpartum and analyzed dichotomously and continuously. Linear regressions were used controlling for child age, sex, intracranial volume, maternal education, age, smoking, alcohol use and HIV. 146 children were included with 38 (37%) exposed to depressive symptoms antenatally and 44 (35%) exposed postnatally. Of these, 16 (13%) were exposed to both. Postpartum, but not antenatal, depressive symptoms were associated with smaller amygdala volumes in children (B = -74.73, p = 0.01). Persistent maternal depressive symptoms across pregnancy and postpartum were also independently associated with smaller amygdala volumes (B = -78.61, p = 0.047). Differences in amygdala volumes among children exposed to postnatal as well as persistent maternal depressive symptomatology underscore the importance of identifying women at-risk for depression during the entire perinatal period.
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Affiliation(s)
- Jennifer A Pellowski
- Department of Behavioral and Social Sciences and International Health Institute, Brown University School of Public Health, Providence, RI, USA.
- Division of Epidemiology and Biostatistics, University of Cape Town School of Public Health and Family Medicine, Cape Town, SA, South Africa.
| | - Catherine J Wedderburn
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, Cape Town, South Africa
- Department of Clinical Research, London School of Hygiene and Tropical Medicine, London, England
- The Neuroscience Institute, University of Cape Town, SA, Cape Town, South Africa
| | - Nynke A Groenewold
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, Cape Town, South Africa
- The Neuroscience Institute, University of Cape Town, SA, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, SA, South Africa
| | - Annerine Roos
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, Cape Town, South Africa
- The Neuroscience Institute, University of Cape Town, SA, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, SA, South Africa
- South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, SA, Cape Town, South Africa
| | - Sivenesi Subramoney
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, Cape Town, South Africa
| | - Nadia Hoffman
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, SA, South Africa
- South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, SA, Cape Town, South Africa
| | - Jean-Paul Fouche
- The Neuroscience Institute, University of Cape Town, SA, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, SA, South Africa
- South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, SA, Cape Town, South Africa
| | - Shantanu H Joshi
- Departments of Neurology, Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Roger P Woods
- Departments of Neurology, Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Katherine L Narr
- Departments of Neurology, Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Heather J Zar
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, Cape Town, South Africa
- South African Medical Research Council (SAMRC) Unit on Child and Adolescent Health, University of Cape Town, Cape Town, SA, South Africa
| | - Kirsten A Donald
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, Cape Town, South Africa
- The Neuroscience Institute, University of Cape Town, SA, Cape Town, South Africa
| | - Dan J Stein
- The Neuroscience Institute, University of Cape Town, SA, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, SA, South Africa
- South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, SA, Cape Town, South Africa
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Talati A, van Dijk MT, Pan L, Hao X, Wang Z, Gameroff M, Dong Z, Kayser J, Shankman S, Wickramaratne PJ, Posner J, Weissman MM. Putamen Structure and Function in Familial Risk for Depression: A Multimodal Imaging Study. Biol Psychiatry 2022; 92:932-941. [PMID: 36038379 PMCID: PMC9872322 DOI: 10.1016/j.biopsych.2022.06.035] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 06/14/2022] [Accepted: 06/16/2022] [Indexed: 01/26/2023]
Abstract
BACKGROUND The putamen has been implicated in depressive disorders, but how its structure and function increase depression risk is not clearly understood. Here, we examined how putamen volume, neuronal density, and mood-modulated functional activity relate to family history and prospective course of depression. METHODS The study includes 115 second- and third-generation offspring at high or low risk for depression based on the presence or absence of major depressive disorder in the first generation. Offspring were followed longitudinally using semistructured clinical interviews blinded to their familial risk; putamen structure, neuronal integrity, and functional activation were indexed by structural magnetic resonance imaging (MRI), proton magnetic resonance spectroscopy (N-acetylaspartate/creatine ratio), and functional MRI activity modulated by valence and arousal components of a mood induction task, respectively. RESULTS After adjusting for covariates, the high-risk individuals had lower putamen volume (standardized betas, β-left = -0.17, β-right = -0.15, ps = .002), N-acetylaspartate/creatine ratio (β-left= -0.40, β-right= -0.37, ps < .0001), and activation modulated by valence (β-left = -0.22, β-right = -0.27, ps < .05) than low-risk individuals. Volume differences were greater at younger ages, and N-acetylaspartate/creatine ratio differences were greater at older ages. Lower putamen volume also predicted major depressive disorder episodes up to 8 years after the scan (β-left = -0.72, p = .013; β-right = -0.83, p = .037). Magnetic resonance spectroscopy and task functional MRI measures were modestly correlated (0.27 ≤ r ≤ 0.33). CONCLUSIONS Findings demonstrate abnormalities in putamen structure and function in individuals at high risk for major depressive disorder. Future studies should focus on this region as a potential biomarker for depressive illness, noting meanwhile that differences attributable to family history may peak at different ages based on which MRI modality is being used to assay them.
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Affiliation(s)
- Ardesheer Talati
- Department of Psychiatry, Columbia University Irving Medical Center and Vagelos College of Physicians and Surgeons, Columbia University, New York, New York; Division of Translational Epidemiology, New York State Psychiatric Institute, New York, New York.
| | - Milenna T van Dijk
- Department of Psychiatry, Columbia University Irving Medical Center and Vagelos College of Physicians and Surgeons, Columbia University, New York, New York; Division of Translational Epidemiology, New York State Psychiatric Institute, New York, New York
| | - Lifang Pan
- Department of Psychiatry, Columbia University Irving Medical Center and Vagelos College of Physicians and Surgeons, Columbia University, New York, New York; Division of Translational Epidemiology, New York State Psychiatric Institute, New York, New York
| | - Xuejun Hao
- Department of Psychiatry, Columbia University Irving Medical Center and Vagelos College of Physicians and Surgeons, Columbia University, New York, New York; Division of Translational Epidemiology, New York State Psychiatric Institute, New York, New York
| | - Zhishun Wang
- Department of Psychiatry, Columbia University Irving Medical Center and Vagelos College of Physicians and Surgeons, Columbia University, New York, New York; Division of Translational Imaging, New York State Psychiatric Institute, New York, New York
| | - Marc Gameroff
- Department of Psychiatry, Columbia University Irving Medical Center and Vagelos College of Physicians and Surgeons, Columbia University, New York, New York; Division of Translational Epidemiology, New York State Psychiatric Institute, New York, New York
| | - Zhengchao Dong
- Department of Psychiatry, Columbia University Irving Medical Center and Vagelos College of Physicians and Surgeons, Columbia University, New York, New York; Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, New York
| | - Jürgen Kayser
- Department of Psychiatry, Columbia University Irving Medical Center and Vagelos College of Physicians and Surgeons, Columbia University, New York, New York; Division of Translational Epidemiology, New York State Psychiatric Institute, New York, New York
| | - Stewart Shankman
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, Illinois
| | - Priya J Wickramaratne
- Department of Psychiatry, Columbia University Irving Medical Center and Vagelos College of Physicians and Surgeons, Columbia University, New York, New York; Division of Translational Epidemiology, New York State Psychiatric Institute, New York, New York; Department of Biostatistics, Columbia University Mailman School of Public Health, New York, New York
| | - Jonathan Posner
- Department of Psychiatry, Duke University, Durham, North Carolina
| | - Myrna M Weissman
- Department of Psychiatry, Columbia University Irving Medical Center and Vagelos College of Physicians and Surgeons, Columbia University, New York, New York; Division of Translational Epidemiology, New York State Psychiatric Institute, New York, New York; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York
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19
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Tang XQ, Liao RY, Zheng LJ, Yang LL, Ma ZL, Yi C, Liu J, Liu JC, Kuang YJ, Cai HA, Huang L. Aerobic exercise reverses the NF-κB/NLRP3 inflammasome/5-HT pathway by upregulating irisin to alleviate post-stroke depression. ANNALS OF TRANSLATIONAL MEDICINE 2022; 10:1350. [PMID: 36660693 PMCID: PMC9843332 DOI: 10.21037/atm-22-5443] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 12/12/2022] [Indexed: 01/01/2023]
Abstract
Background Post-stroke depression (PSD) is one of the most common and serious sequelae of stroke. The pathogenesis of PSD involves both psychosocial and biological mechanisms, and aerobic exercise is a potential therapeutic target. We conducted an in-depth exploration of the protective mechanisms of aerobic exercise in a PSD mouse model. Methods In this study, C57BL/6 mice were used as the research objects, and a PSD mouse model was established by combining middle cerebral artery occlusion and chronic unpredictable mild stimulation. Real-time quantitative polymerase chain reaction, enzyme-linked immunosorbent assays, adeno-associated virus microinjection technology, co-immunoprecipitation, fluorescence in-situ hybridization, and western blotting were performed. A moderate-load treadmill exercise was used for aerobic exercise intervention. The moderate-intensity aerobic exercise training method adopted 0 slopes and treadmill adaptation training for 5 days. We verified the effects of aerobic exercise on the nuclear factor kappa B (NF-κB)/nucleotide-binding oligomerization domain--like receptor protein 3 (NLRP3) inflammasome/5-hydroxytryptamine (5-HT) pathway. Results Aerobic exercise effectively alleviated the neurological damage caused by PSD (P<0.01). The results from the PSD mouse model in vivo were consistent with those of the cell experiments. Moreover, overexpression of irisin improves depression-like behavior in PSD mice. We confirmed that aerobic exercise is involved in PSD through 5-HT, which inhibits NF-κB/NLRP3 inflammasome initiation through irisin and alleviates mitochondrial damage under stress by reducing calcium overload, thereby inhibiting NLRP3 inflammasome activation. Conclusions Aerobic exercise reversed the NF-κB/NLRP3 inflammasome/5-HT pathway by upregulating irisin expression to alleviate PSD.
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Affiliation(s)
- Xue-Qin Tang
- Department of Rehabilitation Medicine, Department of Sports Medicine, Institute of Translational Medicine, Hunan Provincial People’s Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, China
| | - Ruo-Yi Liao
- The First Affiliated Hospital of Hunan University of Traditional Chinese Medicine, Changsha, China
| | - Li-Jun Zheng
- Department of Rehabilitation Medicine, Department of Sports Medicine, Institute of Translational Medicine, Hunan Provincial People’s Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, China
| | - Ling-Ling Yang
- Department of Rehabilitation Medicine, Department of Sports Medicine, Institute of Translational Medicine, Hunan Provincial People’s Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, China
| | - Zhi-Lin Ma
- Department of Rehabilitation Medicine, Department of Sports Medicine, Institute of Translational Medicine, Hunan Provincial People’s Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, China
| | - Chan Yi
- Department of Rehabilitation Medicine, Department of Sports Medicine, Institute of Translational Medicine, Hunan Provincial People’s Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, China
| | - Jin Liu
- Department of Rehabilitation Medicine, Department of Sports Medicine, Institute of Translational Medicine, Hunan Provincial People’s Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, China
| | - Jin-Can Liu
- College of Acupuncture-moxibustion, Tuina and Rehabilitation, Hunan University of Traditional Chinese Medicine, Changsha, China
| | - Yi-Jin Kuang
- College of Acupuncture-moxibustion, Tuina and Rehabilitation, Hunan University of Traditional Chinese Medicine, Changsha, China
| | - Hua-An Cai
- Department of Rehabilitation Medicine, Department of Sports Medicine, Institute of Translational Medicine, Hunan Provincial People’s Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, China
| | - Liang Huang
- Department of Rehabilitation Medicine, Department of Sports Medicine, Institute of Translational Medicine, Hunan Provincial People’s Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, China
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20
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Ho TC, Shah R, Mishra J, May AC, Tapert SF. Multi-level predictors of depression symptoms in the Adolescent Brain Cognitive Development (ABCD) study. J Child Psychol Psychiatry 2022; 63:1523-1533. [PMID: 35307818 PMCID: PMC9489813 DOI: 10.1111/jcpp.13608] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/25/2022] [Indexed: 01/09/2023]
Abstract
BACKGROUND While identifying risk factors for adolescent depression is critical for early prevention and intervention, most studies have sought to understand the role of isolated factors rather than across a broad set of factors. Here, we sought to examine multi-level factors that maximize the prediction of depression symptoms in US children participating in the Adolescent Brain and Cognitive Development (ABCD) study. METHODS A total of 7,995 participants from ABCD (version 3.0 release) provided complete data at baseline and 1-year follow-up data. Depression symptoms were measured with the Child Behavior Checklist. Predictive features included child demographic, environmental, and structural and resting-state fMRI variables, parental depression history and demographic characteristics. We used linear (elastic net regression, EN) and non-linear (gradient-boosted trees, GBT) predictive models to identify which set of features maximized prediction of depression symptoms at baseline and, separately, at 1-year follow-up. RESULTS Both linear and non-linear models achieved comparable results for predicting baseline (EN: MAE = 3.757; R2 = 0.156; GBT: MAE = 3.761; R2 = 0.147) and 1-year follow-up (EN: MAE = 4.255; R2 = 0.103; GBT: MAE = 4.262; R2 = 0.089) depression. Parental history of depression, greater family conflict, and shorter child sleep duration were among the top predictors of concurrent and future child depression symptoms across both models. Although resting-state fMRI features were relatively weaker predictors, functional connectivity of the caudate was consistently the strongest neural feature associated with depression symptoms at both timepoints. CONCLUSIONS Consistent with prior research, parental mental health, family environment, and child sleep quality are important risk factors for youth depression. Functional connectivity of the caudate is a relatively weaker predictor of depression symptoms but may represent a biomarker for depression risk.
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Affiliation(s)
- Tiffany C. Ho
- Department of Psychiatry & Behavioral Sciences; Weill Institute of Neurosciences; University of California, San Francisco, San Francisco, CA
| | - Rutvik Shah
- Department of Psychiatry & Behavioral Sciences; Weill Institute of Neurosciences; University of California, San Francisco, San Francisco, CA
- Department of Psychiatry, University of California, San Diego, San Diego, CA
| | - Jyoti Mishra
- Department of Psychiatry, University of California, San Diego, San Diego, CA
| | - April C. May
- Department of Psychiatry, University of California, San Diego, San Diego, CA
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA
| | - Susan F. Tapert
- Department of Psychiatry, University of California, San Diego, San Diego, CA
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21
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Huffman LG, Oshri A. Continuity versus change in latent profiles of emotion regulation and working memory during adolescence. Dev Cogn Neurosci 2022; 58:101177. [PMID: 36436429 PMCID: PMC9706540 DOI: 10.1016/j.dcn.2022.101177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 11/15/2022] [Accepted: 11/16/2022] [Indexed: 11/20/2022] Open
Abstract
Significant structural and functional brain development occurs during early adolescence. These changes underlie developments in central neurocognitive processes such as working memory (WM) and emotion regulation (ER). The preponderance of studies modeling trajectories of adolescent brain development use variable-centered approaches, omitting attention to individual differences that may undergird neurobiological embedding of early life stress and attendant psychopathology. This preregistered, data-driven study used latent transition analysis (LTA) to identify (1) latent profiles of neural function during a WM and implicit ER task, (2) transitions in profiles across 24 months, and 3) associations between transitions, parental support, and subsequent psychopathology. Using two waves of data from the ABCD Study (Mage T1 = 10; Mage T2 = 12), we found three unique profiles of neural function at both T1 and T2. The Typical, Emotion Hypo-response, and Emotion-Hyper response profiles were characterized by, respectively: moderate amygdala activation and fusiform deactivation; high ACC, fusiform, and insula deactivation; and high amygdala, ACC, and insula response to ER. While 69.5 % remained in the Typical profile from T1 to T2, 27.8 % of the sample moved from one profile at T1 to another at T2. However, neither latent profiles nor transitions exhibited associations between parental support or psychopathology symptoms.
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Affiliation(s)
- Landry Goodgame Huffman
- Neuroscience Program, University of Georgia, Athens, GA, USA; Department of Human Development & Family Science, University of Georgia, Athens, GA, USA.
| | - Assaf Oshri
- Neuroscience Program, University of Georgia, Athens, GA, USA; Department of Human Development & Family Science, University of Georgia, Athens, GA, USA
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22
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Structural and Functional Brain Alterations in Populations with Familial Risk for Depression: A Narrative Review. Harv Rev Psychiatry 2022; 30:327-349. [PMID: 36534836 DOI: 10.1097/hrp.0000000000000350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
LEARNING OBJECTIVES After completing this activity, practitioners will be better able to:• Discuss the association between brain alterations and vulnerability or resilience to MDD in people with familial risk• Define how structural and functional brain alterations associated with vulnerability or resilience could lead to a better understanding of the pathophysiology of MDD. AIM Familial history is associated with an increased risk for major depressive disorder (MDD). Despite the increased risk, some members of the familial high-risk population remain healthy, that is, resilient. Defining the structural and functional brain alterations associated with vulnerability or resilience could lead to a better understanding of the pathophysiology of MDD. This study aimed to review the current literature and discuss the association between brain alterations and vulnerability or resilience to MDD in people with familial risk. METHODS A literature search on MRI studies investigating structural and functional alterations in populations at familial risk for MDD was performed using the PubMed and SCOPUS databases. The search was conducted through June 13, 2022. RESULTS We reviewed and summarized the data of 72 articles (25 structural MRI, 35 functional MRI, 10 resting-state fMRI, one structural/functional MRI combined, and one structural/functional/resting-state fMRI combined). These findings suggested that resilience in high-risk individuals is related to the amygdala structure, frontal lobe activity, and functional connectivity between the amygdala and multiple frontal regions. CONCLUSION Resilient and vulnerable individuals exhibit structural and functional differences in multiple frontal and limbic regions. However, further systematic longitudinal research incorporating environmental factors is required to validate the current findings.
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23
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Abitante G, Haraden DA, Pine A, Cole D, Garber J. Trajectories of positive and negative affect across adolescence: Maternal history of depression and adolescent sex as predictors. J Affect Disord 2022; 315:96-104. [PMID: 35878831 PMCID: PMC9447402 DOI: 10.1016/j.jad.2022.07.038] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 06/09/2022] [Accepted: 07/17/2022] [Indexed: 11/21/2022]
Abstract
BACKGROUND Trajectories of affect vary across development, with normative increases in positive affect occurring during childhood and declines in positive affect appearing across adolescence. Little is known, however, about predictors of the trajectories of affect across adolescence. The present study examined associations between changes in adolescent affect across adolescence and maternal history of depression and child sex. METHODS Participants were 240 adolescents and their mothers; 185 mothers had a history of depression (i.e., high risk) and 55 mothers did not (i.e., low risk). Youth were assessed annually from 6th grade (meanage = 11.86 years, SD = 0.57, 54.2 % female, 82 % White) through 12th grade. Latent growth models tested the relation of maternal depression history and adolescent sex with trajectories of adolescent affect. RESULTS High-risk adolescents exhibited lower levels of PA as compared to low-risk youth (coefficient = -3.51, p = .008, 95 % CI [-6.11, -0.91]). Girls experienced earlier increases in negative affect (NA) as compared to boys, with more positive linear (coefficient = 2.07, p = .002, 95 % CI [0.774, 3.368]) and quadratic (coefficient = -0.29, p = .025, 95 % CI [-0.55, -0.04]) slopes. LIMITATIONS Use of self-report measures and limited generalizability. CONCLUSION Maternal depression significantly predicted decreases in offspring PA and distinct trajectories of NA in girls and boys. Interventions aimed at reducing risk in adolescent offspring of depressed parents may benefit from targeting PA and supporting girls in early adolescence.
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Affiliation(s)
| | - Dustin A Haraden
- University of Illinois Urbana-Champaign, United States of America
| | | | - David Cole
- Vanderbilt University, United States of America
| | - Judy Garber
- Vanderbilt University, United States of America
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24
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Effects of Parental Internalizing and Externalizing Behavior Problems on Children’s Limbic Brain Structures—An MRI Study. Brain Sci 2022; 12:brainsci12101319. [PMID: 36291253 PMCID: PMC9599765 DOI: 10.3390/brainsci12101319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 09/22/2022] [Accepted: 09/23/2022] [Indexed: 11/16/2022] Open
Abstract
Parental behavior problems have long-term effects on children’s limbic brain structures and functions. Parental behavior problems-related brain changes in children may lead to mental disorders and behavior dysfunction later in life. However, our understanding of the relationship between parental behavior and children’s brain structures is less obvious when children and adolescents are studied in a general population without mental disorders. The majority of studies on the relationship between parental behavior and adolescent brain structure have been focused on severe forms of the following parental behavior problems: (1) internalizing behavior associated with mood and anxiety disorders, and (2) externalizing behavior associated with substance use and violence. A few studies examined the effect of normative variations or subtle differences in parental behavior. Therefore, we utilized a large study—Adolescent Brain Cognitive Development (ABCD)—to determine relationships between normative variation in parental internalizing and externalizing behavior and limbic brain structures in children and adolescents without mental disorders. Quantile (median) regression models were used to compute associations between parental behavior and children’s limbic structures. We found that parental internalizing and externalizing behaviors are uniquely associated with children’s limbic structures after adjustment for biological confounders and parental socioeconomic status. Our findings indicate that normative parental behavior may have a significant early influence on limbic structures of normally developing children and adolescents. Accelerated or delayed limbic structure maturation may account for children’s and adolescents’ behavioral inadequacies and a risk of developing specific mood disorders or substance abuse problems later in life.
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25
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Groenewold NA, Wedderburn CJ, Pellowski JA, Fouché JP, Michalak L, Roos A, Woods RP, Narr KL, Zar HJ, Donald KA, Stein DJ. Subcortical brain volumes in young infants exposed to antenatal maternal depression: Findings from a South African birth cohort. Neuroimage Clin 2022; 36:103206. [PMID: 36162238 PMCID: PMC9668606 DOI: 10.1016/j.nicl.2022.103206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 09/16/2022] [Accepted: 09/17/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Several studies have reported enlarged amygdala and smaller hippocampus volumes in children and adolescents exposed to maternal depression. It is unclear whether similar volumetric differences are detectable in the infants' first weeks of life, following exposure in utero. We investigated subcortical volumes in 2-to-6 week old infants exposed to antenatal maternal depression (AMD) from a South African birth cohort. METHODS AMD was measured with the Beck Depression Inventory 2nd edition (BDI-II) at 28-32 weeks gestation. T2-weighted structural images were acquired during natural sleep on a 3T Siemens Allegra scanner. Subcortical regions were segmented based on the University of North Carolina neonatal brain atlas. Volumetric estimates were compared between AMD-exposed (BDI-II ⩾ 20) and unexposed (BDI-II < 14) infants, adjusted for age, sex and total intracranial volume using analysis of covariance. RESULTS Larger volumes were observed in AMD-exposed (N = 49) compared to unexposed infants (N = 75) for the right amygdala (1.93% difference, p = 0.039) and bilateral caudate nucleus (left: 5.79% difference, p = 0.001; right: 6.09% difference, p < 0.001). A significant AMD-by-sex interaction was found for the hippocampus (left: F(1,118) = 4.80, p = 0.030; right: F(1,118) = 5.16, p = 0.025), reflecting greater volume in AMD-exposed females (left: 5.09% difference, p = 0.001, right: 3.54% difference, p = 0.010), but not males. CONCLUSIONS Volumetric differences in subcortical regions can be detected in AMD-exposed infants soon after birth, suggesting structural changes may occur in utero. Female infants might exhibit volumetric changes that are not observed in male infants. The potential mechanisms underlying these early volumetric differences, and their significance for long-term child mental health, require further investigation.
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Affiliation(s)
- Nynke A. Groenewold
- Department of Paediatrics and Child Health, Red Cross War Memorial Children’s Hospital, University of Cape Town, Cape Town, South Africa,South African Medical Research Council (SA-MRC) Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa,Department of Psychiatry & Mental Health, University of Cape Town, Cape Town, South Africa,The Neuroscience Institute, University of Cape Town, Cape Town, South Africa,Corresponding author at: UCT Neuroscience Centre, E-Floor, Room 34, Groote Schuur Hospital, Anzio Road, Observatory, 7925, Cape Town, South Africa.
| | - Catherine J. Wedderburn
- Department of Paediatrics and Child Health, Red Cross War Memorial Children’s Hospital, University of Cape Town, Cape Town, South Africa,The Neuroscience Institute, University of Cape Town, Cape Town, South Africa,Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Jennifer A. Pellowski
- Department of Behavioral and Social Sciences and International Health Institute, Brown University School of Public Health, Providence, RI, USA,Division of Epidemiology and Biostatistics, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Jean-Paul Fouché
- Department of Psychiatry & Mental Health, University of Cape Town, Cape Town, South Africa,The Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Liza Michalak
- Department of Psychiatry & Mental Health, University of Cape Town, Cape Town, South Africa
| | - Annerine Roos
- Department of Paediatrics and Child Health, Red Cross War Memorial Children’s Hospital, University of Cape Town, Cape Town, South Africa,The Neuroscience Institute, University of Cape Town, Cape Town, South Africa,SA-MRC Unit on Risk and Resilience in Mental Disorders, University of Cape Town, Cape Town, South Africa
| | - Roger P. Woods
- Departments of Neurology, Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, USA
| | - Katherine L. Narr
- Departments of Neurology, Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, USA
| | - Heather J. Zar
- Department of Paediatrics and Child Health, Red Cross War Memorial Children’s Hospital, University of Cape Town, Cape Town, South Africa,South African Medical Research Council (SA-MRC) Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - Kirsten A. Donald
- Department of Paediatrics and Child Health, Red Cross War Memorial Children’s Hospital, University of Cape Town, Cape Town, South Africa,The Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Dan J. Stein
- Department of Psychiatry & Mental Health, University of Cape Town, Cape Town, South Africa,The Neuroscience Institute, University of Cape Town, Cape Town, South Africa,SA-MRC Unit on Risk and Resilience in Mental Disorders, University of Cape Town, Cape Town, South Africa
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26
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Damme KSF, Park JS, Walther S, Vargas T, Shankman SA, Mittal VA. Depression and Psychosis Risk Shared Vulnerability for Motor Signs Across Development, Symptom Dimensions, and Familial Risk. Schizophr Bull 2022; 48:752-762. [PMID: 35554607 PMCID: PMC9212095 DOI: 10.1093/schbul/sbab133] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND Motor abnormalities are strong transdiagnostic indicators of psychopathology risk that reflect emerging neural network abnormalities. Indeed, motor signs, such as motor slowing and agitation, are widely recognized as core features of both psychosis and depression. However, it is unclear whether these reflect shared or distinct etiology. METHODS A sample of 11 878 adolescents completed self-reported clinical measures of rated psychotic-like experiences (PLEs) and depression. Familial risk for psychopathology and the presence of motor signs were drawn from parental reports, including developmental motor delays (eg, sitting, walking), and adolescent motor signs (eg, dyscoordination, psychomotor retardation, and psychomotor agitation). Finally, motor network connectivity in theoretically relevant networks (cortico-striatal, cortico-thalamic, and cortico-cerebellar) were related to symptoms and familial risk for psychopathology. RESULTS Developmental motor delays related to increased PLEs, increased depression symptoms, and greater familial risk. Familial risk for both PLEs and depression showed higher rates of developmental motor delays than all other groups. Adolescent motor signs, however, showed unique patterns of relationships to symptoms and familial risk such that dyscoordination reflected risk for PLEs, both psychomotor agitation and retardation reflected depression risk, and psychomotor agitation reflected transdiagnostic risk. Cortico-striatal connectivity was related to depression and PLEs, but cortico-cerebellar connectivity was linked to PLEs only. CONCLUSIONS Motor signs may be a transdiagnostic marker of vulnerability for psychopathology. Early developmental motor delays could belie pluripotent, familial risk features. Unique items, eg, dyscoordination specifically related to PLEs, possibly reflecting processes inherent in distinct emerging forms of psychopathology.
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Affiliation(s)
- Katherine S F Damme
- Department of Psychology, Northwestern University, Evanston, IL, USA
- Institute for Innovations in Developmental Sciences (DevSci), Northwestern University, Evanston/Chicago, IL, USA
| | - Jadyn S Park
- Department of Psychology, Northwestern University, Evanston, IL, USA
- Department of Psychiatry, Northwestern University, Chicago, IL, USA
| | - Sebastian Walther
- University Hospital of Psychiatry, Translational Research Center, University of Bern, Bern, Switzerland
| | - Teresa Vargas
- Institute for Innovations in Developmental Sciences (DevSci), Northwestern University, Evanston/Chicago, IL, USA
- Department of Psychiatry, Northwestern University, Chicago, IL, USA
| | | | - Vijay A Mittal
- Department of Psychology, Northwestern University, Evanston, IL, USA
- Institute for Innovations in Developmental Sciences (DevSci), Northwestern University, Evanston/Chicago, IL, USA
- Department of Psychiatry, Northwestern University, Chicago, IL, USA
- Medical Social Sciences, Northwestern University, Chicago, IL, USA
- Institute for Policy Research (IPR), Northwestern University, Chicago, IL, USA
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27
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Kemp JVA, Bernier E, Lebel C, Kopala-Sibley DC. Associations Between Parental Mood and Anxiety Psychopathology and Offspring Brain Structure: A Scoping Review. Clin Child Fam Psychol Rev 2022; 25:222-247. [PMID: 35201543 DOI: 10.1007/s10567-022-00393-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/14/2022] [Indexed: 12/22/2022]
Abstract
A family history of mood and anxiety disorders is one of the most well-established risk factors for these disorders in offspring. A family history of these disorders has also been linked to alterations in brain regions involved in cognitive-affective processes broadly, and mood and anxiety disorders specifically. Results from studies of brain structure of children of parents with a history of mood or anxiety disorders (high-risk offspring) have been inconsistent. We followed the PRISMA protocol to conduct a scoping review of the literature linking parental mood and anxiety disorders to offspring brain structure to examine which structures in offspring brains are linked to parental major depressive disorder (MDD), anxiety, or bipolar disorder (BD). Studies included were published in peer-reviewed journals between January 2000 and July 2021. Thirty-nine studies were included. Significant associations between parental BD and offspring caudate volume, inferior frontal gyrus thickness, and anterior cingulate cortex thickness were found. Associations were also identified between parental MDD and offspring amygdala and hippocampal volumes, fusiform thickness, and thickness in temporoparietal regions. Few studies have examined associations between parental anxiety and high-risk offspring brain structure; however, one study found associations between parental anxiety symptoms and offspring amygdala structure, and another found similar associations with the hippocampus. The direction of grey matter change across studies was inconsistent, potentially due to the large age ranges for each study and the non-linear development of the brain. Children of parents with MDD and bipolar disorders, or elevated anxiety symptoms, show alterations in a range of brain regions. Results may further efforts to identify children at high risk for affective disorders and may elucidate whether alterations in specific brain regions represent premorbid markers of risk for mood and anxiety disorders.
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Affiliation(s)
- Jennifer V A Kemp
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada. .,Hotchkiss Brain Institute, Calgary, AB, Canada. .,Mathison Centre for Mental Health Research & Education, Calgary, AB, Canada. .,Faculty of Cumming School of Medicine, University of Calgary, Foothills Hospital Teaching Research and Wellness Building, 3280 Hospital Dr NW, Calgary, AB, T2N 4Z6, Canada.
| | - Emily Bernier
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, Calgary, AB, Canada.,Mathison Centre for Mental Health Research & Education, Calgary, AB, Canada
| | - Catherine Lebel
- Alberta Children's Hospital Research Institute, Calgary, AB, Canada.,Hotchkiss Brain Institute, Calgary, AB, Canada.,Mathison Centre for Mental Health Research & Education, Calgary, AB, Canada.,Department of Radiology, University of Calgary, Calgary, AB, Canada
| | - Daniel C Kopala-Sibley
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute, Calgary, AB, Canada.,Hotchkiss Brain Institute, Calgary, AB, Canada.,Mathison Centre for Mental Health Research & Education, Calgary, AB, Canada
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Association between parental age, brain structure, and behavioral and cognitive problems in children. Mol Psychiatry 2022; 27:967-975. [PMID: 34650205 DOI: 10.1038/s41380-021-01325-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 09/10/2021] [Accepted: 09/27/2021] [Indexed: 11/08/2022]
Abstract
OBJECTIVE To investigate the relation between parental age, and behavioral, cognitive and brain differences in the children. METHOD Data with children aged 9-11 of 8709 mothers with parental age 15-45 years were analyzed from the Adolescent Brain Cognitive Development (ABCD) study. A general linear model was used to test the associations of the parental age with brain structure, and behavioral and cognitive problems scores. RESULTS Behavioral and cognitive problems were greater in the children of the younger mothers, and were associated with lower volumes of cortical regions in the children. There was a linear correlation between the behavioral and cognitive problems scores, and the lower brain volumes (r > 0.6), which was evident when parental age was included as a stratification factor. The regions with lower volume included the anterior cingulate cortex, medial and lateral orbitofrontal cortex and amygdala, parahippocampal gyrus and hippocampus, and temporal lobe (FDR corrected p < 0.01). The lower cortical volumes and areas in the children significantly mediated the association between the parental age and the behavioral and cognitive problems in the children (all p < 10-4). The effects were large, such as the 71.4% higher depressive problems score, and 27.5% higher rule-breaking score, in the children of mothers aged 15-19 than the mothers aged 34-35. CONCLUSIONS Lower parental age is associated with behavioral problems and reduced cognitive performance in the children, and these differences are related to lower volumes and areas of some cortical regions which mediate the effects in the children. The findings are relevant to psychiatric understanding and assessment.
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Auerbach RP, Pagliaccio D, Hubbard NA, Frosch I, Kremens R, Cosby E, Jones R, Siless V, Lo N, Henin A, Hofmann SG, Gabrieli JDE, Yendiki A, Whitfield-Gabrieli S, Pizzagalli DA. Reward-Related Neural Circuitry in Depressed and Anxious Adolescents: A Human Connectome Project. J Am Acad Child Adolesc Psychiatry 2022; 61:308-320. [PMID: 33965516 PMCID: PMC8643367 DOI: 10.1016/j.jaac.2021.04.014] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 04/17/2021] [Accepted: 04/26/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Although depression and anxiety often have distinct etiologies, they frequently co-occur in adolescence. Recent initiatives have underscored the importance of developing new ways of classifying mental illness based on underlying neural dimensions that cut across traditional diagnostic boundaries. Accordingly, the aim of the study was to clarify reward-related neural circuitry that may characterize depressed-anxious youth. METHOD The Boston Adolescent Neuroimaging of Depression and Anxiety Human Connectome Project tested group differences regarding subcortical volume and nucleus accumbens activation during an incentive processing task among 14- to 17-year-old adolescents presenting with a primary depressive and/or anxiety disorder (n = 129) or no lifetime history of mental disorders (n = 64). In addition, multimodal modeling examined predictors of depression and anxiety symptom change over a 6-month follow-up period. RESULTS Our findings highlighted considerable convergence. Relative to healthy youth, depressed-anxious adolescents exhibited reduced nucleus accumbens volume and activation following reward receipt. These findings remained when removing all medicated participants (∼59% of depressed-anxious youth). Subgroup analyses comparing anxious-only, depressed-anxious, and healthy youth also were largely consistent. Multimodal modeling showed that only structural alterations predicted depressive symptoms over time. CONCLUSION Multimodal findings highlight alterations within nucleus accumbens structure and function that characterize depressed-anxious adolescents. In the current hypothesis-driven analyses, however, only reduced nucleus accumbens volume predicted depressive symptoms over time. An important next step will be to clarify why structural alterations have an impact on reward-related processes and associated symptoms.
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Damme KS, Park JS, Vargas T, Walther S, Shankman SA, Mittal VA. Motor abnormalities, depression risk, and clinical course in adolescence. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2022; 2:61-69. [PMID: 35419552 PMCID: PMC9000199 DOI: 10.1016/j.bpsgos.2021.06.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 06/25/2021] [Accepted: 06/26/2021] [Indexed: 02/02/2023] Open
Abstract
Background Motor abnormalities, such as psychomotor agitation and retardation, are widely recognized as core features of depression. However, it is not currently known if motor abnormalities connote risk for depression. Methods Using data from the Adolescent Brain Cognitive Development (ABCD) Study, a nationally representative sample of youth (n=10,835, 9-11 years old), the present paper examines whether motor abnormalities are associated with (a) depression symptoms in early adolescence, (b) familial risk for depression (familial risk loading), and (c) future depression symptoms. Motor abnormalities measures included traditional (DSM) motor signs such as psychomotor agitation and retardation as well as other motor domains such as developmental motor delays and dyscoordination. Results Traditional motor abnormalities were less prevalent (agitation=3.2%, retardation=0.3%) than non-traditional domains (delays=13.79%, coordination=35.5%) among adolescents. Motor dysfunction was associated with depression symptoms (Cohen's ds=0.02 to 0.12). Familial risk for depression was related to motor abnormalities (Cohen's ds=0.08 to 0.27), with the exception of motor retardation. Family vulnerability varied in sensitivity to depression risk (e.g., retardation: .53%; dyscoordination: 32.05%). Baseline endorsement of motor abnormalities predicted future depression symptoms at one-year follow-up. Conclusions These findings suggest that motor signs reflect a novel, promising future direction for examining vulnerability to depression risk in early adolescence.
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Affiliation(s)
- Katherine S.F. Damme
- Department of Psychology, Northwestern University, Evanston, Illinois
- Institute for Innovations in Developmental Sciences, Northwestern University, Evanston and Chicago, Illinois
| | - Jadyn S. Park
- Department of Psychology, Northwestern University, Evanston, Illinois
- Department of Psychiatry, Northwestern University, Chicago, Illinois
| | - Teresa Vargas
- Department of Psychology, Northwestern University, Evanston, Illinois
- Institute for Innovations in Developmental Sciences, Northwestern University, Evanston and Chicago, Illinois
| | - Sebastian Walther
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Stewart A. Shankman
- Department of Psychology, Northwestern University, Evanston, Illinois
- Institute for Innovations in Developmental Sciences, Northwestern University, Evanston and Chicago, Illinois
- Department of Psychiatry, Northwestern University, Chicago, Illinois
| | - Vijay A. Mittal
- Department of Psychology, Northwestern University, Evanston, Illinois
- Institute for Innovations in Developmental Sciences, Northwestern University, Evanston and Chicago, Illinois
- Medical Social Sciences, Northwestern University, Chicago, Illinois
- Institute for Policy Research, Northwestern University, Chicago, Illinois
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Lunsford-Avery JR, Damme KSF, Vargas T, Sweitzer MM, Mittal VA. Psychotic-Like Experiences Associated with Sleep Disturbance and Brain Volumes in Youth: Findings from the Adolescent Brain Cognitive Development Study. JCPP ADVANCES 2021; 1:e12055. [PMID: 36339462 PMCID: PMC9635573 DOI: 10.1002/jcv2.12055] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
Background Sleep disturbance is characteristic of schizophrenia and at-risk populations, suggesting a possible etiological role in psychosis. Biological mechanisms underlying associations between sleep and psychosis vulnerability are unclear, although reduced sleep-regulatory brain structure volumes are a proposed contributor. This study is the first to examine relationships between psychotic-like experiences (PLEs; subclinical symptoms reflecting psychosis vulnerability/risk), sleep, and brain volumes in youth. Methods Brain volumes of five sleep-related structures were examined in relation to PLEs and difficulties initiating and maintaining sleep (DIMS) in 9260 9-11 year-olds participating in the Adolescent Brain Cognitive Development (ABCD) study. Analytic models examined relationships between DIMS, PLEs, and brain volumes, as well as DIMS as a mediator of brain volume-PLEs relationships. Although sleep regulation structures (i.e., thalamus, basal forebrain, hypothalamus) were of primary interest, other potentially-relevant structures to sleep-related functioning and psychosis (i.e., hippocampus, amygdala) were also examined. Results PLEs were associated with increased DIMS as well as reduced volume in some, but not all, brain structures, including the thalamus and basal forebrain in children. DIMS was also associated with reduced left thalamus volume in youth. Increased DIMS partially, statistically mediated the relationship between left thalamic volume and PLEs, although the effect was relatively small. Conclusions Results highlight left thalamic volume as a potential neural mechanism underlying sleep disturbances and PLEs in childhood. Future studies should assess causal relationships between sleep, PLEs, and brain structure across adolescent development, interactions with other psychosis risk factors, and the role of sleep interventions in prevention of psychosis and a range of psychiatric conditions across the lifespan.
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Affiliation(s)
- Jessica R. Lunsford-Avery
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Katherine S. F. Damme
- Department of Psychology, Northwestern University, Evanston, IL, USA,Institute for Innovations in Developmental Sciences, Northwestern University, Evanston and Chicago, IL, USA
| | - Teresa Vargas
- Department of Psychology, Northwestern University, Evanston, IL, USA,Institute for Innovations in Developmental Sciences, Northwestern University, Evanston and Chicago, IL, USA
| | - Maggie M. Sweitzer
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Vijay A. Mittal
- Department of Psychology, Northwestern University, Evanston, IL, USA,Institute for Innovations in Developmental Sciences, Northwestern University, Evanston and Chicago, IL, USA,Department of Psychiatry, Northwestern University, Chicago, IL USA,Medical Social Sciences, Northwestern University, Chicago, IL, USA,Institute for Policy Research (IPR), Northwestern University, Chicago, IL, USA
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van Dijk MT, Murphy E, Posner JE, Talati A, Weissman MM. Association of Multigenerational Family History of Depression With Lifetime Depressive and Other Psychiatric Disorders in Children: Results from the Adolescent Brain Cognitive Development (ABCD) Study. JAMA Psychiatry 2021; 78:778-787. [PMID: 33881474 PMCID: PMC8060885 DOI: 10.1001/jamapsychiatry.2021.0350] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
IMPORTANCE Three-generation family studies of depression have established added risk of psychopathology for offspring with 2 previous generations affected with depression compared with 1 or none. Because of their rigorous methodology, there are few of these studies, and existing studies are limited by sample sizes. Consequently, the 3-generation family risk paradigm established in family studies can be a critical neuropsychiatric tool if similar transmission patterns are reliably demonstrated with the family history method. OBJECTIVE To examine the association of multigenerational family history of depression with lifetime depressive disorders and other psychopathology in children. DESIGN, SETTING, AND PARTICIPANTS In this analysis of the Adolescent Brain Cognitive Development (ABCD) study data, retrospective, cross-sectional reports on psychiatric functioning among 11 200 children (generation 3 [G3]) and parent reports on parents' (G2) and grandparents' (G1) depression histories were analyzed. The ABCD study sampling weights were used for generalized estimating equation models and descriptive analyses. Data were collected from September 2016 to November 2018, and data were analyzed from July to November 2020. MAIN OUTCOMES AND MEASURES Four risk categories were created, reflecting how many prior generations had history of depression: (1) neither G1 nor G2 (G1-/G2-), (2) only G1 (G1+/G2-), (3) only G2 (G1-/G2+), and (4) both G1 and G2 (G1+/G2+). Child lifetime prevalence and relative risks of psychiatric disorders were based on child and caregiver reports and grouped according to familial risk category derived from G1 and G2 depression history. RESULTS Among 11 200 included children, 5355 (47.8%) were female, and the mean (SD) age was 9.9 (0.6) years. By parent reports, the weighted prevalence of depressive disorder among children was 3.8% (95% CI, 3.2-4.3) for G1-/G2- children, 5.5% (95% CI, 4.3-7.1) for G1+/G2- children, 10.4% (95% CI, 8.6-12.6) for G1-/G2+ children, and 13.3% (95% CI, 11.6-15.2) for G1+/G2+ children (Cochran-Armitage trend = 243.77; P < .001). The weighted suicidal behavior prevalence among children was 5.0% (95% CI, 4.5-5.6) for G1-/G2- children, 7.2% (95% CI, 5.8-8.9) for G1+/G2- children, 12.1% (95% CI, 10.1-14.4) for G1-/G2+ children, and 15.0% (95% CI, 13.2-17.0) for G1+/G2+ children (Cochran-Armitage trend = 188.66; P < .001). By child reports, the weighted prevalence of depressive disorder was 4.8% (95% CI, 4.3-5.5) for G1-/G2- children, 4.3% (95% CI, 3.2-5.7) for G1+/G2- children, 6.3% (95% CI, 4.9-8.1) for G1-/G2+ children, and 7.0% (95% CI, 5.8-8.5) for G1+/G2+ children (Cochran-Armitage trend = 9.01; P = .002), and the weighted prevalence of suicidal behaviors was 7.4% (95% CI, 6.7-8.2) for G1-/G2- children, 7.0% (95% CI, 5.6-8.6) for G1+/G2- children, 9.8% (95% CI, 8.1-12.0) for G1-/G2+ children, and 13.8% (95% CI, 12.1-15.8) for G1+/G2+ children (Cochran-Armitage trend = 46.69; P < .001). Similar patterns were observed for other disorders for both parent and child reports and across sex, socioeconomic status, and race/ethnicity. CONCLUSIONS AND RELEVANCE In this study, having multiple prior affected generations was associated with increased risk of childhood psychopathology. Furthermore, these findings were detectable even at prepubertal ages and existed in diverse racial/ethnic and socioeconomic groups. Clinically, they underscore the need for screening for family history in pediatric settings and highlight implications for biological research with homogenous subgroups using magnetic resonance imaging or genetic analyses.
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Affiliation(s)
- Milenna T. van Dijk
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York,Division of Translational Epidemiology, New York State Psychiatric Institute, New York
| | - Eleanor Murphy
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York,Division of Translational Epidemiology, New York State Psychiatric Institute, New York
| | - Jonathan E. Posner
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York,Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York
| | - Ardesheer Talati
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York,Division of Translational Epidemiology, New York State Psychiatric Institute, New York
| | - Myrna M. Weissman
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York,Division of Translational Epidemiology, New York State Psychiatric Institute, New York,Mailman School of Public Health, Columbia University, New York, New York
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Pagliaccio D, Durham K, Fitzgerald KD, Marsh R. Obsessive-Compulsive Symptoms Among Children in the Adolescent Brain and Cognitive Development Study: Clinical, Cognitive, and Brain Connectivity Correlates. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2021; 6:399-409. [PMID: 33495121 PMCID: PMC8035161 DOI: 10.1016/j.bpsc.2020.10.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 10/01/2020] [Accepted: 10/27/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND Childhood obsessive-compulsive symptoms (OCSs) are common and can be an early risk marker for obsessive-compulsive disorder. The Adolescent Brain and Cognitive Development (ABCD) Study provides a unique opportunity to characterize OCSs in a large normative sample of school-age children and to explore corticostriatal and task-control circuits implicated in pediatric obsessive-compulsive disorder. METHODS The ABCD Study acquired data from 9- and 10-year-olds (N = 11,876). Linear mixed-effects models probed associations between OCSs (Child Behavior Checklist) and cognition (NIH Toolbox), brain structure (subcortical volume, cortical thickness), white matter (diffusion tensor imaging), and resting-state functional connectivity. RESULTS OCS scores showed good psychometric properties and high prevalence, and they were related to familial/parental factors, including family conflict. Higher OCS scores related to better cognitive performance (β = .06, t9966.60 = 6.28, p < .001, ηp2= .01), particularly verbal, when controlling for attention-deficit/hyperactivity disorder, which related to worse performance. OCSs did not significantly relate to brain structure but did relate to lower superior corticostriatal tract fractional anisotropy (β = -.03, t = -3.07, p = .002, ηp2= .02). Higher OCS scores were related to altered functional connectivity, including weaker connectivity within the dorsal attention network (β = -.04, t7262.87 = -3.71, p < .001, ηp2= .002) and weaker dorsal attention-default mode anticorrelation (β = .04, t7251.95 = 3.94, p < .001, ηp2 = .002). Dorsal attention-default mode connectivity predicted OCS scores at 1 year (β = -.04, t2407.61 = -2.23, p = .03, ηp2 = .03). CONCLUSIONS OCSs are common and may persist throughout childhood. Corticostriatal connectivity and attention network connectivity are likely mechanisms in the subclinical-to-clinical spectrum of OCSs. Understanding correlates and mechanisms of OCSs may elucidate their role in childhood psychiatric risk and suggest potential utility of neuroimaging, e.g., dorsal attention-default mode connectivity, for identifying children at increased risk for obsessive-compulsive disorder.
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Affiliation(s)
- David Pagliaccio
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, New York; Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
| | - Katherine Durham
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, New York; Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
| | - Kate D Fitzgerald
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan
| | - Rachel Marsh
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, New York; Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
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Auerbach RP, Pagliaccio D, Allison GO, Alqueza KL, Alonso MF. Neural Correlates Associated With Suicide and Nonsuicidal Self-injury in Youth. Biol Psychiatry 2021; 89:119-133. [PMID: 32782140 PMCID: PMC7726029 DOI: 10.1016/j.biopsych.2020.06.002] [Citation(s) in RCA: 63] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 05/31/2020] [Accepted: 06/01/2020] [Indexed: 12/23/2022]
Abstract
There is no definitive neural marker of suicidal thoughts and behaviors (STBs) or nonsuicidal self-injury (NSSI), and relative to adults, research in youth is more limited. This comprehensive review focuses on magnetic resonance imaging studies reporting structural and functional neural correlates of STBs and NSSI in youth to 1) elucidate shared and independent neural alternations, 2) clarify how developmental processes may interact with neural alterations to confer risk, and 3) provide recommendations based on convergence across studies. Forty-seven articles were reviewed (STBs = 27; NSSI = 20), and notably, 63% of STB articles and 45% of NSSI articles were published in the previous 3 years. Structural magnetic resonance imaging research suggests reduced volume in the ventral prefrontal and orbitofrontal cortices among youth reporting STBs, and there is reduced anterior cingulate cortex volume related to STBs and NSSI. With regard to functional alterations, blunted striatal activation may characterize STB and NSSI youth, and there is reduced frontolimbic task-based connectivity in suicide ideators and attempters. Resting-state functional connectivity findings highlight reduced positive connectivity between the default mode network and salience network in attempters and show that self-injurers exhibit frontolimbic alterations. Together, suicidal and nonsuicidal behaviors are related to top-down and bottom-up neural alterations, which may compromise approach, avoidance, and regulatory systems. Future longitudinal research with larger and well-characterized samples, especially those integrating ambulatory stress assessments, will be well positioned to identify novel targets that may improve early identification and treatment for youth with STBs and NSSI.
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Affiliation(s)
- Randy P. Auerbach
- Department of Psychiatry, Columbia University, New York, New York, USA,New York State Psychiatric Institute, New York, New York, USA,Division of Clinical Developmental Neuroscience, Sackler Institute, New York, New York, USA, Corresponding author: 1051 Riverside Drive, Pardes 2407, New York, NY 10032;
| | - David Pagliaccio
- Department of Psychiatry, Columbia University, New York, New York, USA,New York State Psychiatric Institute, New York, New York, USA
| | - Grace O. Allison
- Department of Psychiatry, Columbia University, New York, New York, USA,New York State Psychiatric Institute, New York, New York, USA
| | - Kira L. Alqueza
- Department of Psychiatry, Columbia University, New York, New York, USA,New York State Psychiatric Institute, New York, New York, USA
| | - Maria Fernanda Alonso
- Department of Psychiatry, Columbia University, New York, New York, USA,New York State Psychiatric Institute, New York, New York, USA
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Karcher NR, Barch DM. The ABCD study: understanding the development of risk for mental and physical health outcomes. Neuropsychopharmacology 2021; 46:131-142. [PMID: 32541809 PMCID: PMC7304245 DOI: 10.1038/s41386-020-0736-6] [Citation(s) in RCA: 122] [Impact Index Per Article: 40.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 06/04/2020] [Accepted: 06/08/2020] [Indexed: 12/19/2022]
Abstract
Following in the footsteps of other large "population neuroscience" studies, the Adolescent Brain Cognitive Development℠ (ABCD) study is the largest in the U.S. assessing brain development. The study is examining approximately 11,875 youth from 21 sites from age 9 to 10 for approximately ten years into young adulthood. The ABCD Study® has completed recruitment for the baseline sample generally using a multi-stage probability sample including a stratified random sample of schools. The dataset has a wealth of measured attributes of youths and their environment, including neuroimaging, cognitive, biospecimen, behavioral, youth self-report and parent self-report metrics, and environmental measures. The initial goal of the ABCD Study was to examine risk and resiliency factors associated with the development of substance use, but the project has expanded far beyond this initial set of questions and will also greatly inform our understanding of the contributions of biospecimens (e.g., pubertal hormones), neural alterations, and environmental factors to the development of both healthy behavior and brain function as well as risk for poor mental and physical outcomes. This review outlines how the ABCD Study was designed to elucidate factors associated with the development of negative mental and physical health outcomes and will provide a selective overview of results emerging from the ABCD Study. Such emerging data includes initial validation of new instruments, important new information about the prevalence and correlates of mental health challenges in middle childhood, and promising data regarding neural correlates of both healthy and disordered behavior. In addition, we will discuss the challenges and opportunities to understanding both healthy development and the emergence of risk from ABCD Study data. Finally, we will overview the future directions of this large undertaking and the ways in which it will shape our understanding of the development of risk for poor mental and physical health outcomes.
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Affiliation(s)
- Nicole R Karcher
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
| | - Deanna M Barch
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
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Sung D, Park B, Kim B, Kim H, Jung KI, Lee SY, Kim BN, Park S, Park MH. Gray Matter Volume in the Developing Frontal Lobe and Its Relationship With Executive Function in Late Childhood and Adolescence: A Community-Based Study. Front Psychiatry 2021; 12:686174. [PMID: 34326786 PMCID: PMC8313766 DOI: 10.3389/fpsyt.2021.686174] [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: 03/26/2021] [Accepted: 06/07/2021] [Indexed: 11/13/2022] Open
Abstract
Background: During late childhood and adolescence, the frontal lobe undergoes critical developmental changes, affecting a wide range of executive functions significantly. Conversely, abnormality in the maturation of the frontal lobe during this period may result in a limited ability to effectively use various executive functions. However, at present, it is still unclear how the structural development of the frontal lobe is associated with different aspects of executive functions during this developmental period. To fill the gap in evidence, we aimed to elucidate gray matter volume (GMV) in the frontal lobe and its relationship with multiple aspects of executive functions in late childhood and adolescence. Methods: We recruited our participants aged between 6 and 17 years to assess GMV in the frontal lobe and its relationship with different domains of executive functions in late childhood and adolescence. We used the voxel-based morphometry-DARTEL procedure to measure GMVs in multiple frontal sub-regions and Stroop test and Advanced Test of Attention (ATA) to measure executive functions. We then conducted partial correlation analyses and performed multiple comparisons with different age and sex groups. Results: Overall, 123 participants took part in our study. We found that many regional GMVs in the frontal lobe were negatively correlated with ATA scores in participants in late childhood and positively correlated with ATA scores in participants in adolescence. Only a few correlations of the GMVs with Stroop test scores were significant in both age groups. Although most of our results did not survive false discovery rate (FDR) correction (i.e., FDR <0.2), considering their novelty, we discussed our results based on uncorrected p-values. Our findings indicate that the frontal sub-regions that were involved in attentional networks may significantly improve during late childhood and become stabilized later in adolescence. Moreover, our findings with the Stroop test may also present the possibility of the later maturation of higher-order executive functioning skills. Conclusion: Although our findings were based on uncorrected p-values, the novelty of our findings may provide better insights into elucidating the maturation of the frontal lobe and its relationship with the development of attention networks in late childhood and adolescence.
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Affiliation(s)
- Dajung Sung
- Department of Psychiatry, College of Medicine, Eunpyeong St. Mary's Hospital, The Catholic University of Korea, Seoul, South Korea
| | - Bumhee Park
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, South Korea.,Office of Biostatistics, Ajou Research Institute for Innovative Medicine, Ajou University Medical Center, Suwon, South Korea
| | - Bora Kim
- Department of Psychiatry, College of Medicine, Eunpyeong St. Mary's Hospital, The Catholic University of Korea, Seoul, South Korea
| | - Hayeon Kim
- Department of Psychiatry, College of Medicine, Eunpyeong St. Mary's Hospital, The Catholic University of Korea, Seoul, South Korea
| | - Kyu-In Jung
- Department of Psychiatry, College of Medicine, Eunpyeong St. Mary's Hospital, The Catholic University of Korea, Seoul, South Korea
| | - Seung-Yup Lee
- Department of Psychiatry, College of Medicine, Eunpyeong St. Mary's Hospital, The Catholic University of Korea, Seoul, South Korea
| | - Bung-Nyun Kim
- Department of Psychiatry and Behavioral Science, Seoul National University College of Medicine, Seoul, South Korea
| | - Subin Park
- Department of Research Planning, National Center for Mental Health, Seoul, South Korea
| | - Min-Hyeon Park
- Department of Psychiatry, College of Medicine, Eunpyeong St. Mary's Hospital, The Catholic University of Korea, Seoul, South Korea
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Novins DK, Althoff RR, Cortese S, Drury SS, Frazier JA, Henderson SW, McCauley E, Njoroge WFM, White TJH. Editors' Best of 2020. J Am Acad Child Adolesc Psychiatry 2021; 60:9-13. [PMID: 33353662 DOI: 10.1016/j.jaac.2020.11.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 11/09/2020] [Indexed: 10/22/2022]
Abstract
There is, in the content of the Journal, an embarrassment of riches, and picking a "best" seems to demand a certain qualification: is the "best" the most interesting, most surprising, most educational, most important, most provocative, most enjoyable? How to choose? We are hardly unbiased and can admit to a special affection for the ones that we and the authors worked hardest on, hammering version after version into shape. Acknowledging these biases, here are the 2020 articles that we think deserve your attention, or at least a second read.
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Morgunova A, Pokhvisneva I, Nolvi S, Entringer S, Wadhwa P, Gilmore J, Styner M, Buss C, Sassi RB, Hall GBC, O'Donnell KJ, Meaney MJ, Silveira PP, Flores CA. DCC gene network in the prefrontal cortex is associated with total brain volume in childhood. J Psychiatry Neurosci 2021; 46:E154-E163. [PMID: 33206040 PMCID: PMC7955849 DOI: 10.1503/jpn.200081] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Genetic variation in the guidance cue DCC gene is linked to psychopathologies involving dysfunction in the prefrontal cortex. We created an expression-based polygenic risk score (ePRS) based on the DCC coexpression gene network in the prefrontal cortex, hypothesizing that it would be associated with individual differences in total brain volume. METHODS We filtered single nucleotide polymorphisms (SNPs) from genes coexpressed with DCC in the prefrontal cortex obtained from an adult postmortem donors database (BrainEAC) for genes enriched in children 1.5 to 11 years old (BrainSpan). The SNPs were weighted by their effect size in predicting gene expression in the prefrontal cortex, multiplied by their allele number based on an individual's genotype data, and then summarized into an ePRS. We evaluated associations between the DCC ePRS and total brain volume in children in 2 community-based cohorts: the Maternal Adversity, Vulnerability and Neurodevelopment (MAVAN) and University of California, Irvine (UCI) projects. For comparison, we calculated a conventional PRS based on a genome-wide association study of total brain volume. RESULTS Higher ePRS was associated with higher total brain volume in children 8 to 10 years old (β = 0.212, p = 0.043; n = 88). The conventional PRS at several different thresholds did not predict total brain volume in this cohort. A replication analysis in an independent cohort of newborns from the UCI study showed an association between the ePRS and newborn total brain volume (β = 0.101, p = 0.048; n = 80). The genes included in the ePRS demonstrated high levels of coexpression throughout the lifespan and are primarily involved in regulating cellular function. LIMITATIONS The relatively small sample size and age differences between the main and replication cohorts were limitations. CONCLUSION Our findings suggest that the DCC coexpression network in the prefrontal cortex is critically involved in whole brain development during the first decade of life. Genes comprising the ePRS are involved in gene translation control and cell adhesion, and their expression in the prefrontal cortex at different stages of life provides a snapshot of their dynamic recruitment.
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Affiliation(s)
- Alice Morgunova
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Irina Pokhvisneva
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Saara Nolvi
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Sonja Entringer
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Pathik Wadhwa
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - John Gilmore
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Martin Styner
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Claudia Buss
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Roberto Britto Sassi
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Geoffrey B C Hall
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Kieran J O'Donnell
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Michael J Meaney
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Patricia P Silveira
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Cecilia A Flores
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
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Beauchaine TP. Editorial: Family History of Depression and Child Striatal Volumes in the ABCD Study: Promise and Perils of Neuroimaging Research With Large Samples. J Am Acad Child Adolesc Psychiatry 2020; 59:1133-1134. [PMID: 31931163 DOI: 10.1016/j.jaac.2020.01.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Accepted: 01/06/2020] [Indexed: 10/25/2022]
Abstract
Every generation of psychopathologists is confronted with critical issues that, if left unaddressed, impede progress in both science and practice. As just one example, progress in psychiatry was hindered for many years by problems with diagnostic validity. Surmounting these problems required painstaking efforts to operationalize diagnostic criteria and to formulate effective structured interviews. More recently, critical issues facing psychiatry include tackling the so-called replication crisis, and mapping the overwhelming etiological complexity of psychopathology-two interrelated challenges. Many highly cited findings from past decades have failed to replicate, have not been subjected to replication, or have overestimated effect sizes considerably. Such findings apply to virtually all areas of psychiatric research, spanning genetics, central and peripheral biomarkers, and interventions.1,2.
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Schmaal L, Pozzi E, C Ho T, van Velzen LS, Veer IM, Opel N, Van Someren EJW, Han LKM, Aftanas L, Aleman A, Baune BT, Berger K, Blanken TF, Capitão L, Couvy-Duchesne B, R Cullen K, Dannlowski U, Davey C, Erwin-Grabner T, Evans J, Frodl T, Fu CHY, Godlewska B, Gotlib IH, Goya-Maldonado R, Grabe HJ, Groenewold NA, Grotegerd D, Gruber O, Gutman BA, Hall GB, Harrison BJ, Hatton SN, Hermesdorf M, Hickie IB, Hilland E, Irungu B, Jonassen R, Kelly S, Kircher T, Klimes-Dougan B, Krug A, Landrø NI, Lagopoulos J, Leerssen J, Li M, Linden DEJ, MacMaster FP, M McIntosh A, Mehler DMA, Nenadić I, Penninx BWJH, Portella MJ, Reneman L, Rentería ME, Sacchet MD, G Sämann P, Schrantee A, Sim K, Soares JC, Stein DJ, Tozzi L, van Der Wee NJA, van Tol MJ, Vermeiren R, Vives-Gilabert Y, Walter H, Walter M, Whalley HC, Wittfeld K, Whittle S, Wright MJ, Yang TT, Zarate C, Thomopoulos SI, Jahanshad N, Thompson PM, Veltman DJ. ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing. Transl Psychiatry 2020; 10:172. [PMID: 32472038 PMCID: PMC7260219 DOI: 10.1038/s41398-020-0842-6] [Citation(s) in RCA: 109] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 04/09/2020] [Accepted: 05/07/2020] [Indexed: 02/06/2023] Open
Abstract
A key objective in the field of translational psychiatry over the past few decades has been to identify the brain correlates of major depressive disorder (MDD). Identifying measurable indicators of brain processes associated with MDD could facilitate the detection of individuals at risk, and the development of novel treatments, the monitoring of treatment effects, and predicting who might benefit most from treatments that target specific brain mechanisms. However, despite intensive neuroimaging research towards this effort, underpowered studies and a lack of reproducible findings have hindered progress. Here, we discuss the work of the ENIGMA Major Depressive Disorder (MDD) Consortium, which was established to address issues of poor replication, unreliable results, and overestimation of effect sizes in previous studies. The ENIGMA MDD Consortium currently includes data from 45 MDD study cohorts from 14 countries across six continents. The primary aim of ENIGMA MDD is to identify structural and functional brain alterations associated with MDD that can be reliably detected and replicated across cohorts worldwide. A secondary goal is to investigate how demographic, genetic, clinical, psychological, and environmental factors affect these associations. In this review, we summarize findings of the ENIGMA MDD disease working group to date and discuss future directions. We also highlight the challenges and benefits of large-scale data sharing for mental health research.
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Affiliation(s)
- Lianne Schmaal
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia.
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia.
| | - Elena Pozzi
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Tiffany C Ho
- Department of Psychology, Stanford University, Stanford, CA, USA
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA
- Department of Psychiatry & Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Laura S van Velzen
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Ilya M Veer
- Division of Mind and Brain Research, 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
| | - Nils Opel
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Eus J W Van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), an institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, Netherlands
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Laura K M Han
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Lybomir Aftanas
- FSSBI Scientific Research Institute of Physiology & Basic Medicine, Laboratory of Affective, Cognitive & Translational Neuroscience, Novosibirsk, Russia
- Department of Neuroscience, Novosibirsk State University, Novosibirsk, Russia
| | - André Aleman
- Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, University of Melbourne, Melbourne, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Tessa F Blanken
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), an institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, Netherlands
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, The Netherlands
| | - Liliana Capitão
- Department of Psychiatry, Oxford University, Oxford, UK
- Oxford Health NHS Foundation Trust, Oxford, UK
| | | | - Kathryn R Cullen
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Christopher Davey
- Department of Psychiatry, University of Melbourne, Melbourne, VIC, Australia
| | - Tracy Erwin-Grabner
- Laboratory of Systems Neuroscience and Imaging in Psychiatry (SNIP-Lab), University Medical Center Göttingen, Göttingen, Germany
| | - Jennifer Evans
- Experimental Therapeutics Branch, NIMH, NIH, Bethesda, MD, USA
| | - Thomas Frodl
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Cynthia H Y Fu
- School of Psychology, University of East London, London, UK
- Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | | | - Ian H Gotlib
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Roberto Goya-Maldonado
- Laboratory of Systems Neuroscience and Imaging in Psychiatry (SNIP-Lab), University Medical Center Göttingen, Göttingen, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Germany
| | - Nynke A Groenewold
- Department of Psychiatry & Mental Health, University of Cape Town, Cape Town, South Africa
| | | | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Geoffrey B Hall
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Ben J Harrison
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Melbourne, VIC, Australia
| | - Sean N Hatton
- Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - Marco Hermesdorf
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - Eva Hilland
- Clinical Neuroscience Research Group, Department of Psychology, University of Oslo, Oslo, Norway
- Department of Psychiatry, Diakonhjemmet Hospital, Oslo, Norway
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Benson Irungu
- Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Rune Jonassen
- Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway
| | - Sinead Kelly
- Beth Israel Deaconess Medical Centre, Harvard Medical School, Boston, MA, USA
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | | | - Axel Krug
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Nils Inge Landrø
- Clinical Neuroscience Research Group, Department of Psychology, University of Oslo, Oslo, Norway
- Department of Psychiatry, Diakonhjemmet Hospital, Oslo, Norway
| | - Jim Lagopoulos
- Sunshine Coast Mind and Neuroscience Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia
| | - Jeanne Leerssen
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), an institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, Netherlands
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, The Netherlands
| | - Meng Li
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - David E J Linden
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- MRC Center for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Cardiff University Brain Research Imaging Center, Cardiff University, Cardiff, UK
| | - Frank P MacMaster
- Psychiatry and Pediatrics, University of Calgary, Addictions and Mental Health Strategic Clinical Network, Calgary, AB, Canada
| | - Andrew M McIntosh
- Centre for Clinical Brain Science, University of Edinburgh, Edinburgh, UK
| | - David M A Mehler
- Department of Psychiatry, University of Münster, Münster, Germany
- MRC Center for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Cardiff University Brain Research Imaging Center, Cardiff University, Cardiff, UK
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Marburg University Hospital UKGM, Marburg, Germany
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Maria J Portella
- Institut d'Investigació Biomèdica-Sant Pau, Barcelona, Spain
- CIBERSAM, Madrid, Spain
- Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Liesbeth Reneman
- Department of Radiology and Nuclear Medicine, location AMC, Amsterdam UMC, Amsterdam, The Netherlands
| | - Miguel E Rentería
- Department of Genetics & Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Matthew D Sacchet
- Center for Depression, Anxiety, and Stress Research, McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | | | - Anouk Schrantee
- Department of Radiology and Nuclear Medicine, location AMC, Amsterdam UMC, Amsterdam, The Netherlands
| | - Kang Sim
- West Region/Institute of Mental Health, Singapore, Singapore
- Yong Loo Lin School of Medicine/National University of Singapore, Singapore, Singapore
| | - Jair C Soares
- Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Dan J Stein
- SA MRC Research Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Leonardo Tozzi
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Nic J A 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
| | - Marie-José van Tol
- Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Robert Vermeiren
- Curium-LUMC, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Henrik Walter
- Division of Mind and Brain Research, 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
| | - Martin Walter
- Department of Psychiatry and Psychotherapy, Jena, Germany
- Clinical Affective Neuroimaging Laboratory, Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Heather C Whalley
- Centre for Clinical Brain Science, University of Edinburgh, Edinburgh, UK
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Germany
| | - Sarah Whittle
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Melbourne, VIC, Australia
| | - Margaret J Wright
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Centre for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
| | - Tony T Yang
- Department of Psychiatry & Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Carlos Zarate
- Section on the Neurobiology and Treatment of Mood Disorders, National Institute of Mental Health, Bethesda, MD, USA
| | - Sophia I Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - 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
| | - 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
| | - Dick J Veltman
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
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Ho TC, Gutman B, Pozzi E, Grabe HJ, Hosten N, Wittfeld K, Völzke H, Baune B, Dannlowski U, Förster K, Grotegerd D, Redlich R, Jansen A, Kircher T, Krug A, Meinert S, Nenadic I, Opel N, Dinga R, Veltman DJ, Schnell K, Veer I, Walter H, Gotlib IH, Sacchet MD, Aleman A, Groenewold NA, Stein DJ, Li M, Walter M, Ching CRK, Jahanshad N, Ragothaman A, Isaev D, Zavaliangos‐Petropulu A, Thompson PM, Sämann PG, Schmaal L. Subcortical shape alterations in major depressive disorder: Findings from the ENIGMA major depressive disorder working group. Hum Brain Mapp 2020; 43:341-351. [PMID: 32198905 PMCID: PMC8675412 DOI: 10.1002/hbm.24988] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 03/01/2020] [Accepted: 03/06/2020] [Indexed: 12/11/2022] Open
Abstract
Alterations in regional subcortical brain volumes have been investigated as part of the efforts of an international consortium, ENIGMA, to identify reliable neural correlates of major depressive disorder (MDD). Given that subcortical structures are comprised of distinct subfields, we sought to build significantly from prior work by precisely mapping localized MDD‐related differences in subcortical regions using shape analysis. In this meta‐analysis of subcortical shape from the ENIGMA‐MDD working group, we compared 1,781 patients with MDD and 2,953 healthy controls (CTL) on individual measures of shape metrics (thickness and surface area) on the surface of seven bilateral subcortical structures: nucleus accumbens, amygdala, caudate, hippocampus, pallidum, putamen, and thalamus. Harmonized data processing and statistical analyses were conducted locally at each site, and findings were aggregated by meta‐analysis. Relative to CTL, patients with adolescent‐onset MDD (≤ 21 years) had lower thickness and surface area of the subiculum, cornu ammonis (CA) 1 of the hippocampus and basolateral amygdala (Cohen's d = −0.164 to −0.180). Relative to first‐episode MDD, recurrent MDD patients had lower thickness and surface area in the CA1 of the hippocampus and the basolateral amygdala (Cohen's d = −0.173 to −0.184). Our results suggest that previously reported MDD‐associated volumetric differences may be localized to specific subfields of these structures that have been shown to be sensitive to the effects of stress, with important implications for mapping treatments to patients based on specific neural targets and key clinical features.
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Affiliation(s)
- Tiffany C. Ho
- Department of Psychiatry & Weill Institute for Neurosciences San Francisco California USA
- Department of Psychiatry & Behavioral Sciences Stanford University Stanford California USA
- Department of Psychology Stanford University Stanford California USA
| | - Boris Gutman
- Department of Biomedical Engineering Illinois Institute of Technology Chicago Illinois USA
| | - Elena Pozzi
- Melbourne Neuropsychiatry Centre, Department of Psychiatry The University of Melbourne & Melbourne Health Melbourne Australia
- Orygen, The National Centre of Excellence in Youth Mental Health Parkville Australia
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy University Medicine Greifswald Germany
- German Centre of Neurodegenerative Diseases (DZNE) site Greifswald/Rostock Germany
| | - Norbert Hosten
- Department of Diagnostic Radiology and Neuroradiology University Medicine Greifswald Germany
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy University Medicine Greifswald Germany
- German Centre of Neurodegenerative Diseases (DZNE) site Greifswald/Rostock Germany
| | - Henry Völzke
- Institute for Community Medicine University Medicine Greifswald Germany
| | - Bernhard Baune
- Department of Psychiatry University of Münster Münster Germany
- Department of Psychiatry, Melbourne Medical School The University of Melbourne Melbourne Australia
| | - Udo Dannlowski
- Department of Psychiatry University of Münster Münster Germany
| | | | | | - Ronny Redlich
- Department of Psychiatry University of Münster Münster Germany
| | - Andreas Jansen
- Department of Psychiatry Philipps‐University Marburg Germany
| | - Tilo Kircher
- Department of Psychiatry Philipps‐University Marburg Germany
| | - Axel Krug
- Department of Psychiatry Philipps‐University Marburg Germany
| | - Susanne Meinert
- Department of Psychiatry University of Münster Münster Germany
| | - Igor Nenadic
- Department of Psychiatry Philipps‐University Marburg Germany
| | - Nils Opel
- Department of Psychiatry University of Münster Münster Germany
| | - Richard Dinga
- Department of Psychiatry, Amsterdam University Medical Centers VU University Medical Center, GGZ inGeest, Amsterdam Neuroscience Amsterdam The Netherlands
| | - Dick J. Veltman
- Department of Psychiatry, Amsterdam University Medical Centers VU University Medical Center, GGZ inGeest, Amsterdam Neuroscience Amsterdam The Netherlands
| | - Knut Schnell
- Department of Psychiatry and Psychotherapy University Medical Center Göttingen Göttingen Germany
| | - Ilya Veer
- Division of Mind and Brain Research, 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
| | - Henrik Walter
- Division of Mind and Brain Research, 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
| | - Ian H. Gotlib
- Department of Psychology Stanford University Stanford California USA
| | - Matthew D. Sacchet
- Department of Psychiatry & Behavioral Sciences Stanford University Stanford California USA
- McLean Hospital and Department of Psychiatry Harvard Medical School Belmont Massachusetts USA
| | - André Aleman
- University of Groningen, University Medical Center Groningen, Department of Neuroscience Groningen The Netherlands
| | - Nynke A. Groenewold
- University of Groningen, University Medical Center Groningen, Department of Neuroscience Groningen The Netherlands
- University of Groningen, University Medical Center Groningen Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE) Groningen The Netherlands
| | - Dan J. Stein
- Department of Psychiatry and Mental Health University of Cape Town South Africa
| | - Meng Li
- Max Planck Institute for Biological Cybernetics Tuebingen Germany
| | - Martin Walter
- Department of Psychiatry University Tuebingen Germany
| | - Christopher R. K. Ching
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute Keck USC School of Medicine California USA
| | - Neda Jahanshad
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute Keck USC School of Medicine California USA
| | - Anjanibhargavi Ragothaman
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute Keck USC School of Medicine California USA
| | - Dmitry Isaev
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute Keck USC School of Medicine California USA
| | - Artemis Zavaliangos‐Petropulu
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute Keck USC School of Medicine California USA
| | - Paul M. Thompson
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute Keck USC School of Medicine California USA
| | | | - Lianne Schmaal
- Orygen, The National Centre of Excellence in Youth Mental Health Parkville Australia
- Centre for Youth Mental Health The University of Melbourne Melbourne Australia
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42
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Gaillard C, Guillod M, Ernst M, Federspiel A, Schoebi D, Recabarren RE, Ouyang X, Mueller-Pfeiffer C, Horsch A, Homan P, Wiest R, Hasler G, Martin-Soelch C. Striatal reactivity to reward under threat-of-shock and working memory load in adults at increased familial risk for major depression: A preliminary study. Neuroimage Clin 2020; 26:102193. [PMID: 32036303 PMCID: PMC7011085 DOI: 10.1016/j.nicl.2020.102193] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 12/27/2019] [Accepted: 01/20/2020] [Indexed: 12/21/2022]
Abstract
INTRODUCTION Anhedonia, a core symptom of Major Depressive Disorder (MDD), manifests as a lack or loss of motivation as reflected by decreased reward responsiveness, at both behavioral and neural (i.e., striatum) levels. Exposure to stressful life events is another important risk factor for MDD. However, the mechanisms linking reward-deficit and stress to MDD remain poorly understood. Here, we explore whether the effects of stress exposure on reward processing might differentiate between Healthy Vulnerable adults (HVul, i.e., positive familial MDD) from Healthy Controls (HCon). Furthermore, the well-described reduction in cognitive resources in MDD might facilitate the stress-induced decrease in reward responsiveness in HVul individuals. Accordingly, this study includes a manipulation of cognitive resources to address the latter possibility. METHODS 16 HVul (12 females) and 16 gender- and age-matched HCon completed an fMRI study, during which they performed a working memory reward task. Three factors were manipulated: reward (reward, no-reward), cognitive resources (working memory at low and high load), and stress level (no-shock, unpredictable threat-of-shock). Only the reward anticipation phase was analyzed. Imaging analyses focused on striatal function. RESULTS Compared to HCon, HVul showed lower activation in the caudate nucleus across all conditions. The HVul group also exhibited lower stress-related activation in the nucleus accumbens, but only in the low working memory (WM) load condition. Moreover, while stress potentiated putamen reactivity to reward cues in HVul when the task was more demanding (high WM load), stress blunted putamen reactivity in both groups when no reward was at stake. CONCLUSION Findings suggest that HVul might be at increased risk of developing anhedonic symptoms due to weaker encoding of reward value, higher difficulty to engage in goal-oriented behaviors and increased sensitivity to negative feedback, particularly in stressful contexts. These findings open new avenues for a better understanding of the mechanisms underlying how the complex interaction between the systems of stress and reward responsiveness contribute to the vulnerability to MDD, and how cognitive resources might modulate this interaction.
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Affiliation(s)
- Claudie Gaillard
- IReach Lab, Unit of Clinical and Health Psychology, Department of Psychology, University of Fribourg, Fribourg, Switzerland; Section on Neurobiology of Fear and Anxiety, National Institute of Mental Health, Bethesda, Maryland, USA.
| | - Matthias Guillod
- IReach Lab, Unit of Clinical and Health Psychology, Department of Psychology, University of Fribourg, Fribourg, Switzerland
| | - Monique Ernst
- Section on Neurobiology of Fear and Anxiety, National Institute of Mental Health, Bethesda, Maryland, USA
| | - Andrea Federspiel
- Psychiatric Neuroimaging Unit, Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Dominik Schoebi
- Unit of Clinical Family Psychology, Department of Psychology, University of Fribourg, Fribourg, Switzerland
| | - Romina Evelyn Recabarren
- IReach Lab, Unit of Clinical and Health Psychology, Department of Psychology, University of Fribourg, Fribourg, Switzerland
| | - Xinyi Ouyang
- iBM Lab, Department of Psychology, University of Fribourg, Fribourg, Switzerland
| | - Christoph Mueller-Pfeiffer
- Department of Consultation-Liaison-Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Antje Horsch
- Department Woman-Mother-Child, Lausanne University Hospital, Lausanne, Switzerland; Institute of Higher Education and Research in Healthcare, University of Lausanne, Lausanne, Switzerland
| | - Philipp Homan
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, New York, New York, USA
| | - Roland Wiest
- Department of Diagnostic and Interventional Neuroradiology, University Hospital of Bern, Bern, Switzerland
| | - Gregor Hasler
- Unit of Psychiatry Research, University of Fribourg, Fribourg, Switzerland
| | - Chantal Martin-Soelch
- IReach Lab, Unit of Clinical and Health Psychology, Department of Psychology, University of Fribourg, Fribourg, Switzerland
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