551
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Barch DM, Tillman R, Kelly D, Whalen D, Gilbert K, Luby JL. Hippocampal volume and depression among young children. Psychiatry Res Neuroimaging 2019; 288:21-28. [PMID: 31071541 PMCID: PMC6550342 DOI: 10.1016/j.pscychresns.2019.04.012] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 04/29/2019] [Accepted: 04/30/2019] [Indexed: 11/18/2022]
Abstract
Clinical depression can occur in young children as early as age three. This very early onset variant of depression shows the same clinical features with developmental adjustments as depression that onsets later in life. One robust neural feature of adult depression is reduced hippocampal volume. We measured hippocampal volume in a sample of 35 children aged 4-7 who were either in a clinical trial for preschool onset depression or were recruited from the community. We used T1 MPRAGE acquisitions on a Siemen's Scanner, with Freesurfer 5.3 used to segment the hippocampus. Depression was measured using the K-SADS early childhood (K-SADS-EC) to create a dimensional depression severity score and the Child Behavior Checklist (CBCL) Depression T-Score. Multilevel models indicated that greater depression severity as measured by either the CBCL Depression Score or the K-SADS-EC was associated with lower hippocampal volume, even controlling for total gray matter, maternal depression, income-to-needs ratio, and stressful life events. These data indicate evidence for reduced hippocampal volume among children with PO-MDD who were more severely depressed. Findings are consistent with the idea that hippocampal volume reductions are an early occurring associated neural marker of MDD, particularly for more severe depression.
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Affiliation(s)
- Deanna M Barch
- Department of Psychological & Brain Sciences, Washington University in St. Louis, USA; Department of Psychiatry, Washington University in St. Louis, USA; Department of Radiology, Washington University in St. Louis, USA.
| | - Rebecca Tillman
- Department of Psychiatry, Washington University in St. Louis, USA
| | - Danielle Kelly
- Department of Psychiatry, Washington University in St. Louis, USA
| | - Diana Whalen
- Department of Psychiatry, Washington University in St. Louis, USA
| | - Kirsten Gilbert
- Department of Psychiatry, Washington University in St. Louis, USA
| | - Joan L Luby
- Department of Psychiatry, Washington University in St. Louis, USA
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552
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Janiri D, Sani G, De Rossi P, Piras F, Banaj N, Ciullo V, Simonetti A, Arciniegas DB, Spalletta G. Hippocampal subfield volumes and childhood trauma in bipolar disorders. J Affect Disord 2019; 253:35-43. [PMID: 31022627 DOI: 10.1016/j.jad.2019.04.071] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2018] [Revised: 01/02/2019] [Accepted: 04/08/2019] [Indexed: 10/27/2022]
Abstract
BACKGROUND Alterations in hippocampal structure and function are present in bipolar disorder (BD). Childhood trauma is associated with risk for BD, and the several subfields of the hippocampus are differentially sensitive to the effects of stressors of the sort associated with risk for BD. The current study therefore sought to test the hypothesis that childhood trauma may be differentially associated with abnormal hippocampal subfield volumes in BD. METHODS 104 participants with BD type I (BD-I, n = 56) or BD type II (BD-II, n = 48) and 81 healthy controls (HC) underwent high-resolution structural magnetic resonance neuroimaging. Hippocampal subfield volumes were determined using FreeSurfer. Childhood trauma was assessed with the Childhood Trauma Questionnaire (CTQ). RESULTS There were significant effects of diagnosis on intracranial volume corrected hippocampal subfield volumes bilaterally as well as a significant interaction between diagnosis and childhood trauma. Hippocampal volumes did not differ between the BD-I and BD-II subgroups but hippocampal volumes were smaller in both groups when compared to HC. There was a significant effect of childhood trauma on bilateral presubiculum volume as well as significant interactions between diagnosis and childhood trauma on bilateral CA1, presubiculum and subiculum volumes, the direction of which differed between individuals with BD (larger) and HC (smaller). LIMITATIONS Recall bias may influence the reliability of the retrospective assessment of childhood trauma experiences. CONCLUSIONS Childhood trauma demonstrates differential effects on hippocampal subfield volumes of BD and HC, particularly in hippocampal subfields involved in emotion regulation.
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Affiliation(s)
- Delfina Janiri
- Psychiatry Residency Training Program, Faculty of Medicine and Psychology, Sapienza University of Rome, Italy
| | - Gabriele Sani
- Department of Neurosciences, Mental Health, and Sensory Organs, Sapienza University of Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Rome, Italy; Centro Lucio Bini, Rome, Italy; Tufts Medical Center, Tufts University School of Medicine, Boston, MA, USA
| | - Pietro De Rossi
- Department of Neurosciences, Mental Health, and Sensory Organs, Sapienza University of Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Rome, Italy; Centro Lucio Bini, Rome, Italy; Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - Fabrizio Piras
- IRCCS Santa Lucia Foundation, Laboratory of Neuropsychiatry, Rome, Italy
| | - Nerisa Banaj
- IRCCS Santa Lucia Foundation, Laboratory of Neuropsychiatry, Rome, Italy
| | - Valentina Ciullo
- IRCCS Santa Lucia Foundation, Laboratory of Neuropsychiatry, Rome, Italy
| | - Alessio Simonetti
- Centro Lucio Bini, Rome, Italy; Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy; Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - David B Arciniegas
- Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA; Behavioral Neurology Section, Department of Neurology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Gianfranco Spalletta
- IRCCS Santa Lucia Foundation, Laboratory of Neuropsychiatry, Rome, Italy; Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA.
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553
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Functional disconnectivity of the hippocampal network and neural correlates of memory impairment in treatment-resistant depression. J Affect Disord 2019; 253:248-256. [PMID: 31060011 DOI: 10.1016/j.jad.2019.04.096] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 01/29/2019] [Accepted: 04/27/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) is a disabling neuropsychiatric condition associated with cognitive impairment. Neuroimaging studies have consistently linked memory deficits with hippocampal atrophy in MDD patients. However, there has been a paucity of research examining how the hippocampus functionally contributes to memory impairments in MDD. The present study examined whether hippocampal networks distinguish treatment-resistant depression (TRD) patients from healthy controls (HCs), and whether these networks underlie declarative memory deficits in TRD. We hypothesized that functional connectivity (FC) of the posterior hippocampus would correlate preferentially with memory in patients, whereas FC pattern of the anterior and intermediate hippocampus would correlate with emotion-mediated regions and show a significant correlation with memory. METHODS Resting-state functional magnetic resonance imaging (fMRI) scans were acquired in 56 patients and 42 age- and sex-matched HCs. We parcellated the hippocampus into three subregions based on a sparse representation-based method recently developed by our group. FC networks of hippocampal subregions were compared between patients and HCs and correlated with clinical measures and cognitive performance. RESULTS Decreased connectivity of the right intermediate hippocampus (RIH) with the limbic regions was a distinguishing feature between TRD and HCs. These functional abnormalities were present in the absence of structural volumetric differences. Furthermore, lower right amygdalar connectivity to the RIH related to a longer current depressive episode. Declarative memory deficits in TRD were significantly associated with left posterior and right intermediate hippocampal FC patterns. LIMITATIONS Our patient samples were treatment-resistant, the conclusions from this study cannot be generalized to all MDD patients directly. Task-based imaging studies are needed to demonstrate hippocampal engagement in the memory deficits of patients. Finally, our findings are strongly in need of replication in independent validation samples. CONCLUSIONS These findings demonstrate a transitional property of the intermediate hippocampal subregion between its anterior and posterior counterparts in TRD patients, and provide new insights into the neural network-level dysfunction of the hippocampus in TRD.
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554
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Twenty-Five and Up (25Up) Study: A New Wave of the Brisbane Longitudinal Twin Study. Twin Res Hum Genet 2019; 22:154-163. [PMID: 31198126 DOI: 10.1017/thg.2019.27] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The aim of the 25 and Up (25Up) study was to assess a wide range of psychological and behavioral risk factors behind mental illness in a large cohort of Australian twins and their non-twin siblings. Participants had already been studied longitudinally from the age of 12 and most recently in the 19Up study (mean age = 26.1 years, SD = 4.1, range = 20-39). This subsequent wave follows up these twins several years later in life (mean age = 29.7 years, SD = 2.2, range = 22-44). The resulting data set enables additional detailed investigations of genetic pathways underlying psychiatric illnesses in the Brisbane Longitudinal Twin Study (BLTS). Data were collected between 2016 and 2018 from 2540 twins and their non-twin siblings (59% female, including 341 monozygotic complete twin-pairs, 415 dizygotic complete pairs and 1028 non-twin siblings and singletons). Participants were from South-East Queensland, Australia, and the sample was of predominantly European ancestry. The 25Up study collected information on 20 different mental disorders, including depression, anxiety, substance use, psychosis, bipolar and attention-deficit hyper-activity disorder, as well as general demographic information such as occupation, education level, number of children, self-perceived IQ and household environment. In this article, we describe the prevalence, comorbidities and age of onset for all 20 examined disorders. The 25Up study also assessed general and physical health, including physical activity, sleep patterns, eating behaviors, baldness, acne, migraines and allergies, as well as psychosocial items such as suicidality, perceived stress, loneliness, aggression, sleep-wake cycle, sexual identity and preferences, technology and internet use, traumatic life events, gambling and cyberbullying. In addition, 25Up assessed female health traits such as morning sickness, breastfeeding and endometriosis. Furthermore, given that the 25Up study is an extension of previous BLTS studies, 86% of participants have already been genotyped. This rich resource will enable the assessment of epidemiological risk factors, as well as the heritability and genetic correlations of mental conditions.
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555
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Li J, Chen J, Ma N, Yan D, Wang Y, Zhao X, Zhang Y, Zhang C. Effects of corticosterone on the expression of mature brain-derived neurotrophic factor (mBDNF) and proBDNF in the hippocampal dentate gyrus. Behav Brain Res 2019; 365:150-156. [DOI: 10.1016/j.bbr.2019.03.010] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 02/17/2019] [Accepted: 03/05/2019] [Indexed: 01/08/2023]
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556
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Mikolas P, Tozzi L, Doolin K, Farrell C, O'Keane V, Frodl T. Effects of early life adversity and FKBP5 genotype on hippocampal subfields volume in major depression. J Affect Disord 2019; 252:152-159. [PMID: 30986730 DOI: 10.1016/j.jad.2019.04.054] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Revised: 02/12/2019] [Accepted: 04/08/2019] [Indexed: 01/10/2023]
Abstract
BACKGROUND Smaller hippocampus volume represents a consistent finding in major depression (MDD). Hippocampal neuroplasticity due to chronic stress might have differential effect on hippocampal subfields. We investigated the effects of the rs1360780 polymorphism of the hypothalamic-pituitary-axis related gene FKBP5 in combination with early life stress (ELA) on the structure of hippocampal subfields in MDD. METHODS We assessed the hippocampal subfields volumes in 85/67 MDD/healthy controls. We investigated the effects of diagnosis, FKBP5 allelic status and their interaction as predictors of hippocampal subfield volumes as well as the effect of ELA and its interaction with FKBP5. RESULTS MDD patients had smaller hippocampal volumes, in particular within the cornu ammonis (CA) and dentate gyrus (DG) regions. Patients exposed to ELA had larger hippocampi, in particular within the CA and DG. Among the patients exposed to ELA, the T allele carriers displayed lower volumes within the hippocampus-amygdala-transition-area (HATA) as those subjects homozygous for the C allele. LIMITATIONS We pooled the subjects from 2 centers in order to increase the sample size. We did not include the cumulative lifetime exposure to medication. CONCLUSIONS Hippocampal volume reductions in MDD were present particularly in the CA and DG. MDD with ELA display differential volume changes compared to MDD without ELA. The significant interaction between ELA and the rs1360780 polymorphism in HATA suggests a role of FKBP5 in the pathophysiology of structural alterations in depression.
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Affiliation(s)
- Pavol Mikolas
- Department of Psychiatry and Psychotherapy, Otto von Guericke University, Magdeburg, Germany; Department of Child and Adolescent Psychiatry, Faculty of Medicine, Technische Universitaet Dresden, Dresden, Germany
| | - Leonardo Tozzi
- Department of Psychiatry and Psychotherapy, Otto von Guericke University, Magdeburg, Germany; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Kelly Doolin
- Department of Psychiatry, University of Dublin, Trinity College, Dublin, Ireland
| | - Chloe Farrell
- Department of Psychiatry, University of Dublin, Trinity College, Dublin, Ireland
| | - Veronica O'Keane
- Department of Psychiatry, University of Dublin, Trinity College, Dublin, Ireland
| | - Thomas Frodl
- Department of Psychiatry and Psychotherapy, Otto von Guericke University, Magdeburg, Germany; Department of Psychiatry, University of Dublin, Trinity College, Dublin, Ireland.
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557
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Treatment resistance in major depression is correlated with increased plasma levels of neurofilament light protein reflecting axonal damage. Med Hypotheses 2019; 127:159-161. [DOI: 10.1016/j.mehy.2019.03.022] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2019] [Revised: 02/19/2019] [Accepted: 03/21/2019] [Indexed: 12/28/2022]
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558
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Relationships between adrenarcheal hormones, hippocampal volumes and depressive symptoms in children. Psychoneuroendocrinology 2019; 104:55-63. [PMID: 30802711 DOI: 10.1016/j.psyneuen.2019.02.016] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 01/15/2019] [Accepted: 02/13/2019] [Indexed: 10/27/2022]
Abstract
Early timing of puberty (i.e., advanced pubertal maturation relative to same-age peers) has been associated with depressive symptoms during adolescence. To date, research on this relationship has focused on gonadarche, the second phase of puberty, while less is known about the first phase of puberty, adrenarche. Increasing evidence suggests that androgens that rise during adrenarche, most notably dehyrdoepiandrosterone (DHEA) and testosterone, may be involved both in the development of the hippocampus, and risk for depression. The current study investigated whether hippocampal volumes mediated the relationship between adrenarcheal timing (based on relative levels of adrenarcheal hormones) and depressive symptoms in children. Data were collected from a cross-sectional sample of 88 children (46 female) selected to have relatively increased variance in these androgens. Participants completed brain MRI structural scans, provided saliva samples for hormones, and completed the Children's Depression Inventory (CDI). Contrary to predictions, larger right hippocampi significantly partially mediated the positive relationship between early timing of testosterone exposure (i.e., relatively high levels of testosterone for one's age) and depressive symptoms in girls. No other evidence of significant mediation effects was obtained, however DHEA and testosterone exposure showed unique effects on hippocampal volumes in males and females, and larger hippocampal volumes predicted higher depressive symptoms in the entire sample. These results suggest that adrenarcheal timing may be related to hippocampal development and depressive symptoms, extending current knowledge of pubertal risk processes.
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559
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Whelan CD, Altmann A, Botía JA, Jahanshad N, Hibar DP, Absil J, Alhusaini S, Alvim MKM, Auvinen P, Bartolini E, Bergo FPG, Bernardes T, Blackmon K, Braga B, Caligiuri ME, Calvo A, Carr SJ, Chen J, Chen S, Cherubini A, David P, Domin M, Foley S, França W, Haaker G, Isaev D, Keller SS, Kotikalapudi R, Kowalczyk MA, Kuzniecky R, Langner S, Lenge M, Leyden KM, Liu M, Loi RQ, Martin P, Mascalchi M, Morita ME, Pariente JC, Rodríguez-Cruces R, Rummel C, Saavalainen T, Semmelroch MK, Severino M, Thomas RH, Tondelli M, Tortora D, Vaudano AE, Vivash L, von Podewils F, Wagner J, Weber B, Yao Y, Yasuda CL, Zhang G, Bargalló N, Bender B, Bernasconi N, Bernasconi A, Bernhardt BC, Blümcke I, Carlson C, Cavalleri GL, Cendes F, Concha L, Delanty N, Depondt C, Devinsky O, Doherty CP, Focke NK, Gambardella A, Guerrini R, Hamandi K, Jackson GD, Kälviäinen R, Kochunov P, Kwan P, Labate A, McDonald CR, Meletti S, O'Brien TJ, Ourselin S, Richardson MP, Striano P, Thesen T, Wiest R, Zhang J, Vezzani A, Ryten M, Thompson PM, Sisodiya SM. Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study. Brain 2019; 141:391-408. [PMID: 29365066 PMCID: PMC5837616 DOI: 10.1093/brain/awx341] [Citation(s) in RCA: 328] [Impact Index Per Article: 54.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Accepted: 10/24/2017] [Indexed: 12/02/2022] Open
Abstract
Progressive functional decline in the epilepsies is largely unexplained. We formed the ENIGMA-Epilepsy consortium to understand factors that influence brain measures in epilepsy, pooling data from 24 research centres in 14 countries across Europe, North and South America, Asia, and Australia. Structural brain measures were extracted from MRI brain scans across 2149 individuals with epilepsy, divided into four epilepsy subgroups including idiopathic generalized epilepsies (n =367), mesial temporal lobe epilepsies with hippocampal sclerosis (MTLE; left, n = 415; right, n = 339), and all other epilepsies in aggregate (n = 1026), and compared to 1727 matched healthy controls. We ranked brain structures in order of greatest differences between patients and controls, by meta-analysing effect sizes across 16 subcortical and 68 cortical brain regions. We also tested effects of duration of disease, age at onset, and age-by-diagnosis interactions on structural measures. We observed widespread patterns of altered subcortical volume and reduced cortical grey matter thickness. Compared to controls, all epilepsy groups showed lower volume in the right thalamus (Cohen’s d = −0.24 to −0.73; P < 1.49 × 10−4), and lower thickness in the precentral gyri bilaterally (d = −0.34 to −0.52; P < 4.31 × 10−6). Both MTLE subgroups showed profound volume reduction in the ipsilateral hippocampus (d = −1.73 to −1.91, P < 1.4 × 10−19), and lower thickness in extrahippocampal cortical regions, including the precentral and paracentral gyri, compared to controls (d = −0.36 to −0.52; P < 1.49 × 10−4). Thickness differences of the ipsilateral temporopolar, parahippocampal, entorhinal, and fusiform gyri, contralateral pars triangularis, and bilateral precuneus, superior frontal and caudal middle frontal gyri were observed in left, but not right, MTLE (d = −0.29 to −0.54; P < 1.49 × 10−4). Contrastingly, thickness differences of the ipsilateral pars opercularis, and contralateral transverse temporal gyrus, were observed in right, but not left, MTLE (d = −0.27 to −0.51; P < 1.49 × 10−4). Lower subcortical volume and cortical thickness associated with a longer duration of epilepsy in the all-epilepsies, all-other-epilepsies, and right MTLE groups (beta, b < −0.0018; P < 1.49 × 10−4). In the largest neuroimaging study of epilepsy to date, we provide information on the common epilepsies that could not be realistically acquired in any other way. Our study provides a robust ranking of brain measures that can be further targeted for study in genetic and neuropathological studies. This worldwide initiative identifies patterns of shared grey matter reduction across epilepsy syndromes, and distinctive abnormalities between epilepsy syndromes, which inform our understanding of epilepsy as a network disorder, and indicate that certain epilepsy syndromes involve more widespread structural compromise than previously assumed.
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Affiliation(s)
- Christopher D Whelan
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, USA.,Department of Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Andre Altmann
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Juan A Botía
- Reta Lila Weston Institute and Department of Molecular Neuroscience, UCL Institute of Neurology, London WC1N 3BG, UK
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, USA
| | - Derrek P Hibar
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, USA
| | - Julie Absil
- Department of Radiology, Hôpital Erasme, Universite Libre de Bruxelles, Brussels 1070, Belgium
| | - Saud Alhusaini
- Department of Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland.,Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Marina K M Alvim
- Department of Neurology, University of Campinas, Campinas, Brazil
| | - Pia Auvinen
- Epilepsy Center, Department of Neurology, Kuopio University, Kuopio, Finland.,Institute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland
| | - Emanuele Bartolini
- Pediatric Neurology Unit, Children's Hospital A. Meyer-University of Florence, Italy.,IRCCS Stella Maris Foundation, Pisa, Italy
| | - Felipe P G Bergo
- Department of Neurology, University of Campinas, Campinas, Brazil
| | - Tauana Bernardes
- Department of Neurology, University of Campinas, Campinas, Brazil
| | - Karen Blackmon
- Comprehensive Epilepsy Center, Department of Neurology, New York University School of Medicine, New York, USA.,Department of Physiology, Neuroscience and Behavioral Science, St. George's University, Grenada, West Indies
| | - Barbara Braga
- Department of Neurology, University of Campinas, Campinas, Brazil
| | - Maria Eugenia Caligiuri
- Institute of Molecular Bioimaging and Physiology of the National Research Council (IBFM-CNR), Catanzaro, Italy
| | - Anna Calvo
- Magnetic Resonance Image Core Facility, IDIBAPS, Barcelona, Spain
| | - Sarah J Carr
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Jian Chen
- Department of Computer Science and Engineering, The Ohio State University, USA
| | - Shuai Chen
- Cognitive Science Department, Xiamen University, Xiamen, China.,Fujian Key Laboratory of the Brain-like Intelligent Systems, China
| | - Andrea Cherubini
- Institute of Molecular Bioimaging and Physiology of the National Research Council (IBFM-CNR), Catanzaro, Italy
| | - Philippe David
- Department of Radiology, Hôpital Erasme, Universite Libre de Bruxelles, Brussels 1070, Belgium
| | - Martin Domin
- Functional Imaging Unit, Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Sonya Foley
- Cardiff University Brain Research Imaging Centre, School of Psychology, Wales, UK
| | - Wendy França
- Department of Neurology, University of Campinas, Campinas, Brazil
| | - Gerrit Haaker
- Department of Neurosurgery, University Hospital, Freiburg, Germany.,Department of Neuropathology, University Hospital Erlangen, Germany
| | - Dmitry Isaev
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, USA
| | - Simon S Keller
- Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, UK
| | - Raviteja Kotikalapudi
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.,Department of Diagnostic and Interventional Neuroradiology, University of Tübingen, Tübingen, Germany
| | - Magdalena A Kowalczyk
- The Florey Institute of Neuroscience and Mental Health, Austin Campus, Melbourne, VIC, Australia
| | - Ruben Kuzniecky
- Comprehensive Epilepsy Center, Department of Neurology, New York University School of Medicine, New York, USA
| | - Soenke Langner
- Functional Imaging Unit, Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Matteo Lenge
- Pediatric Neurology Unit, Children's Hospital A. Meyer-University of Florence, Italy
| | - Kelly M Leyden
- Multimodal Imaging Laboratory, University of California San Diego, San Diego, California, USA.,Department of Psychiatry, University of California San Diego, San Diego, California, USA
| | - Min Liu
- Neuroimaging of Epilepsy Laboratory, Montreal Neurological Institute and Hospital, Mcgill University, Montreal, Quebec, Canada
| | - Richard Q Loi
- Multimodal Imaging Laboratory, University of California San Diego, San Diego, California, USA.,Department of Psychiatry, University of California San Diego, San Diego, California, USA
| | - Pascal Martin
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Mario Mascalchi
- Neuroradiology Unit, Children's Hospital A. Meyer, Florence, Italy.,"Mario Serio" Department of Experimental and Clinical Biomedical Sciences, University of Florence, Italy
| | - Marcia E Morita
- Department of Neurology, University of Campinas, Campinas, Brazil
| | - Jose C Pariente
- Magnetic Resonance Image Core Facility, IDIBAPS, Barcelona, Spain
| | - Raul Rodríguez-Cruces
- Instituto de Neurobiología, Universidad Nacional Autónoma de México. Querétaro, Querétaro, México
| | - Christian Rummel
- Support Center for Advanced Neuroimaging (SCAN), University Institute for Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland
| | - Taavi Saavalainen
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland.,Central Finland Central Hospital, Medical Imaging Unit, Jyväskylä, Finland
| | - Mira K Semmelroch
- The Florey Institute of Neuroscience and Mental Health, Austin Campus, Melbourne, VIC, Australia
| | - Mariasavina Severino
- Neuroradiology Unit, Department of Head and Neck and Neurosciences, Istituto Giannina Gaslini, Genova, Italy
| | - Rhys H Thomas
- Institute of Psychological Medicine and Clinical Neurosciences, Hadyn Ellis Building, Maindy Road, Cardiff, UK.,Department of Neurology, University Hospital of Wales, Cardiff, UK
| | - Manuela Tondelli
- Department of Biomedical, Metabolic, and Neural Science, University of Modena and Reggio Emilia, NOCSE Hospital, Modena, Italy
| | - Domenico Tortora
- Neuroradiology Unit, Department of Head and Neck and Neurosciences, Istituto Giannina Gaslini, Genova, Italy
| | - Anna Elisabetta Vaudano
- Department of Biomedical, Metabolic, and Neural Science, University of Modena and Reggio Emilia, NOCSE Hospital, Modena, Italy
| | - Lucy Vivash
- Melbourne Brain Centre, Department of Medicine, University of Melbourne, Parkville, VIC, 3052, Australia.,Department of Neurology, Royal Melbourne Hospital, Parkville, 3050, Australia
| | - Felix von Podewils
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Jan Wagner
- Department of Epileptology, University Hospital Bonn, Bonn, Germany.,Department of Neurology, Philips University of Marburg, Marburg Germany
| | - Bernd Weber
- Department of Epileptology, University Hospital Bonn, Bonn, Germany.,Department of Neurocognition / Imaging, Life&Brain Research Centre, Bonn, Germany
| | - Yi Yao
- The Affiliated Chenggong Hospital of Xiamen University, Xiamen, China
| | | | - Guohao Zhang
- Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, USA
| | - Nuria Bargalló
- Magnetic Resonance Image Core Facility, IDIBAPS, Barcelona, Spain.,Centre de Diagnostic Per la Imatge (CDIC), Hospital Clinic, Barcelona, Spain
| | - Benjamin Bender
- Department of Diagnostic and Interventional Neuroradiology, University of Tübingen, Tübingen, Germany
| | - Neda Bernasconi
- Neuroimaging of Epilepsy Laboratory, Montreal Neurological Institute and Hospital, Mcgill University, Montreal, Quebec, Canada
| | - Andrea Bernasconi
- Neuroimaging of Epilepsy Laboratory, Montreal Neurological Institute and Hospital, Mcgill University, Montreal, Quebec, Canada
| | - Boris C Bernhardt
- Neuroimaging of Epilepsy Laboratory, Montreal Neurological Institute and Hospital, Mcgill University, Montreal, Quebec, Canada.,Multimodal Imaging and Connectome Analysis Lab, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
| | - Ingmar Blümcke
- Department of Neuropathology, University Hospital Erlangen, Germany
| | - Chad Carlson
- Comprehensive Epilepsy Center, Department of Neurology, New York University School of Medicine, New York, USA.,Medical College of Wisconsin, Department of Neurology, Milwaukee, WI, USA
| | - Gianpiero L Cavalleri
- Department of Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland.,FutureNeuro Research Centre, RCSI, Dublin, Ireland
| | - Fernando Cendes
- Department of Neurology, University of Campinas, Campinas, Brazil
| | - Luis Concha
- Instituto de Neurobiología, Universidad Nacional Autónoma de México. Querétaro, Querétaro, México
| | - Norman Delanty
- Department of Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland.,FutureNeuro Research Centre, RCSI, Dublin, Ireland.,Division of Neurology, Beaumont Hospital, Dublin 9, Ireland
| | - Chantal Depondt
- Department of Neurology, Hôpital Erasme, Universite Libre de Bruxelles, Brussels 1070, Belgium
| | - Orrin Devinsky
- Comprehensive Epilepsy Center, Department of Neurology, New York University School of Medicine, New York, USA
| | - Colin P Doherty
- FutureNeuro Research Centre, RCSI, Dublin, Ireland.,Neurology Department, St. James's Hospital, Dublin 8, Ireland
| | - Niels K Focke
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.,Department of Clinical Neurophysiology, University Medicine Göttingen, Göttingen, Germany
| | - Antonio Gambardella
- Institute of Molecular Bioimaging and Physiology of the National Research Council (IBFM-CNR), Catanzaro, Italy.,Institute of Neurology, University "Magna Græcia", Catanzaro, Italy
| | - Renzo Guerrini
- Pediatric Neurology Unit, Children's Hospital A. Meyer-University of Florence, Italy.,IRCCS Stella Maris Foundation, Pisa, Italy
| | - Khalid Hamandi
- Institute of Psychological Medicine and Clinical Neurosciences, Hadyn Ellis Building, Maindy Road, Cardiff, UK.,Department of Neurology, University Hospital of Wales, Cardiff, UK
| | - Graeme D Jackson
- The Florey Institute of Neuroscience and Mental Health, Austin Campus, Melbourne, VIC, Australia.,Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Reetta Kälviäinen
- Epilepsy Center, Department of Neurology, Kuopio University, Kuopio, Finland.,Institute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Maryland, USA
| | - Patrick Kwan
- Department of Neurology, Royal Melbourne Hospital, Parkville, 3050, Australia
| | - Angelo Labate
- Institute of Molecular Bioimaging and Physiology of the National Research Council (IBFM-CNR), Catanzaro, Italy.,Institute of Neurology, University "Magna Græcia", Catanzaro, Italy
| | - Carrie R McDonald
- Multimodal Imaging Laboratory, University of California San Diego, San Diego, California, USA.,Department of Psychiatry, University of California San Diego, San Diego, California, USA
| | - Stefano Meletti
- Department of Biomedical, Metabolic, and Neural Science, University of Modena and Reggio Emilia, NOCSE Hospital, Modena, Italy
| | - Terence J O'Brien
- Department of Neurology, Royal Melbourne Hospital, Parkville, 3050, Australia.,Department of Medicine, University of Melbourne, Parkville, VIC, 3052, Australia
| | - Sebastien Ourselin
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, UK
| | - Mark P Richardson
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.,Department of Neurology, King's College Hospital, London, UK
| | - Pasquale Striano
- Pediatric Neurology and Muscular Diseases Unit, Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genova, Italy
| | - Thomas Thesen
- Comprehensive Epilepsy Center, Department of Neurology, New York University School of Medicine, New York, USA.,Department of Physiology, Neuroscience and Behavioral Science, St. George's University, Grenada, West Indies
| | - Roland Wiest
- Support Center for Advanced Neuroimaging (SCAN), University Institute for Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland
| | - Junsong Zhang
- Cognitive Science Department, Xiamen University, Xiamen, China.,Fujian Key Laboratory of the Brain-like Intelligent Systems, China
| | - Annamaria Vezzani
- Dept of Neuroscience, Mario Negri Institute for Pharmacological Research, Via G. La Masa 19, 20156 Milano, Italy
| | - Mina Ryten
- Reta Lila Weston Institute and Department of Molecular Neuroscience, UCL Institute of Neurology, London WC1N 3BG, UK.,Department of Medical and Molecular Genetics, King's College London, London SE1 9RT, UK
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, USA
| | - Sanjay M Sisodiya
- Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, UK.,Chalfont Centre for Epilepsy, Bucks, UK
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560
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Increasing Adiponergic System Activity as a Potential Treatment for Depressive Disorders. Mol Neurobiol 2019; 56:7966-7976. [PMID: 31140056 PMCID: PMC6834732 DOI: 10.1007/s12035-019-01644-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 05/09/2019] [Accepted: 05/10/2019] [Indexed: 12/22/2022]
Abstract
Depression is the most devastating mental disorder and one of the leading contributors to the global medical burden. Current antidepressant prescriptions present drawbacks, including treatment resistance, delayed onset of treatment response, and side effects. The rapid and long-lasting antidepressant effect of ketamine has brought hope to treatment-resistant major depressive disorder patients. However, ketamine has undesirable addictive properties and is a drug of abuse. There is an urgent need, therefore, to develop novel pharmacological interventions that could be as effective as ketamine, but without its side effects. Adiponectin, a pleiotropic adipocyte-secreted hormone, has insulin-sensitizing and neurotrophic properties. It can cross the blood-brain barrier and target multiple brain regions where the adiponectin receptors are detected. Emerging evidence has suggested that adiponectin and the adiponectin receptor agonist, AdipoRon, could promote adult neurogenesis, dendritic and spine remodeling, and synaptic plasticity in the hippocampus, resulting in antidepressant effects in adult mice. By summarizing the most recent clinical and animal studies, this review provides a timely insight on how modulating the adiponergic system in the hippocampus could be a potential therapeutic target for an effective and fast-acting antidepressant response.
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561
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Avinun R, Nevo A, Knodt AR, Elliott ML, Hariri AR. A genome-wide association study-derived polygenic score for interleukin-1β is associated with hippocampal volume in two samples. Hum Brain Mapp 2019; 40:3910-3917. [PMID: 31119842 DOI: 10.1002/hbm.24639] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 05/13/2019] [Accepted: 05/17/2019] [Indexed: 12/26/2022] Open
Abstract
Accumulating research suggests that the pro-inflammatory cytokine interleukin-1β (IL-1β) has a modulatory effect on the hippocampus, a brain structure important for learning and memory as well as linked with both psychiatric and neurodegenerative disorders. Here, we used an imaging genetics strategy to test an association between an IL-1β polygenic score and hippocampal volume in two independent samples. Our polygenic score was derived using summary statistics from a recent genome-wide association study of circulating cytokines that included IL-1β (N = 3,309). In the first sample of 512 non-Hispanic Caucasian university students (274 women, mean age 19.78 ± 1.24 years) from the Duke Neurogenetics Study, we identified a significant positive correlation between IL-1β polygenic scores and hippocampal volume. This positive association was successfully replicated in a second sample of 7,960 white British volunteers (4,158 women, mean age 62.63 ± 7.45 years) from the UK Biobank. Our results lend further support in humans, to the link between IL-1β and the structure of the hippocampus.
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Affiliation(s)
- Reut Avinun
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, North Carolina
| | - Adam Nevo
- Cardiothoracic Division, Department of Surgery, Duke University Medical Center, Durham, North Carolina
| | - Annchen R Knodt
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, North Carolina
| | - Maxwell L Elliott
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, North Carolina
| | - Ahmad R Hariri
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, North Carolina
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562
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Deformities of the Globus Pallidus are Associated with Severity of Suicidal Ideation and Impulsivity in Patients with Major Depressive Disorder. Sci Rep 2019; 9:7462. [PMID: 31097766 PMCID: PMC6522489 DOI: 10.1038/s41598-019-43882-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Accepted: 05/03/2019] [Indexed: 01/18/2023] Open
Abstract
Neuroimaging research increasingly suggests there are biological features related to suicidal risk, including brain morphometric features, leading to an elaborate suicide risk assessment. However, few studies have focused on the severity of suicidal ideation and its association with subcortical anatomy in patients with major depressive disorder (MDD). Here, we mainly investigated whether specific structural differences were present in MDD patients with and without suicidal ideation; and supplemented comparison with and without suicidal attempt. We hypothesized that structures associated with suicidal ideation would be derived from a combination of depression and impulsivity. Local atrophy of subcortical structures in 48 patients with MDD (24 with suicidal ideation and 24 without) and 25 age- and sex-matched healthy controls were compared using a surface-based shape analysis method. There was no difference in brain volume between MDD patients with or without suicidal ideations; or MDD patients with or without suicidal attempt. However, the atrophy level in the left pallidum showed a positive correlation with severity of suicidal risk in MDD patients with suicidal ideation. Local atrophy of the left hippocampus, right caudate, and right pallidum had a positive correlation with total impulsivity. These findings possibly suggest that vulnerability to suicidal attempt can be derived from suicidal ideation combined with depression and impulsivity, related to reduced motivational control.
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563
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Nogovitsyn N, Souza R, Muller M, Srajer A, Hassel S, Arnott SR, Davis AD, Hall GB, Harris JK, Zamyadi M, Metzak PD, Ismail Z, Bray SL, Lebel C, Addington JM, Milev R, Harkness KL, Frey BN, Lam RW, Strother SC, Goldstein BI, Rotzinger S, Kennedy SH, MacQueen GM. Testing a deep convolutional neural network for automated hippocampus segmentation in a longitudinal sample of healthy participants. Neuroimage 2019; 197:589-597. [PMID: 31075395 DOI: 10.1016/j.neuroimage.2019.05.017] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Revised: 04/15/2019] [Accepted: 05/06/2019] [Indexed: 12/31/2022] Open
Abstract
Subtle changes in hippocampal volumes may occur during both physiological and pathophysiological processes in the human brain. Assessing hippocampal volumes manually is a time-consuming procedure, however, creating a need for automated segmentation methods that are both fast and reliable over time. Segmentation algorithms that employ deep convolutional neural networks (CNN) have emerged as a promising solution for large longitudinal neuroimaging studies. However, for these novel algorithms to be useful in clinical studies, the accuracy and reproducibility should be established on independent datasets. Here, we evaluate the performance of a CNN-based hippocampal segmentation algorithm that was developed by Thyreau and colleagues - Hippodeep. We compared its segmentation outputs to manual segmentation and FreeSurfer 6.0 in a sample of 200 healthy participants scanned repeatedly at seven sites across Canada, as part of the Canadian Biomarker Integration Network in Depression consortium. The algorithm demonstrated high levels of stability and reproducibility of volumetric measures across all time points compared to the other two techniques. Although more rigorous testing in clinical populations is necessary, this approach holds promise as a viable option for tracking volumetric changes in longitudinal neuroimaging studies.
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Affiliation(s)
- Nikita Nogovitsyn
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada; Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.
| | - Roberto Souza
- Department of Radiology and Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Meghan Muller
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada; Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Amelia Srajer
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Stefanie Hassel
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada; Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada
| | | | - Andrew D Davis
- Department of Psychology, Neuroscience & Behaviour, McMaster University, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - Geoffrey B Hall
- Department of Psychology, Neuroscience & Behaviour, McMaster University, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | | | - Mojdeh Zamyadi
- Rotman Research Institute, Baycrest, Toronto, ON, Canada
| | - Paul D Metzak
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Zahinoor Ismail
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Signe L Bray
- Department of Radiology, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute, Calgary, AB, Canada; Child & Adolescent Imaging Research (CAIR) Program, Calgary, AB, Canada
| | - Catherine Lebel
- Department of Radiology, University of Calgary, Calgary, AB, Canada; Alberta Children's Hospital Research Institute, Calgary, AB, Canada; Child & Adolescent Imaging Research (CAIR) Program, Calgary, AB, Canada
| | - Jean M Addington
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Roumen Milev
- Department of Psychiatry, Queen's University and Providence Care Hospital, Kingston, ON, Canada; Department of Psychology, Queen's University, Kingston, ON, Canada
| | - Kate L Harkness
- Department of Psychology, Queen's University, Kingston, ON, Canada
| | - Benicio N Frey
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada; Mood Disorders Program and Women's Health Concerns Clinic, St. Joseph's Healthcare, Hamilton, ON, Canada
| | - Raymond W Lam
- University of British Columbia and Vancouver Coastal Health Authority, Vancouver, BC, Canada
| | - Stephen C Strother
- Rotman Research Institute, Baycrest and Department of Medical Biophysics, University of Toronto, ON, Canada
| | - Benjamin I Goldstein
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; Departments of Psychiatry and Pharmacology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Susan Rotzinger
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, Krembil Research Centre, University Health Network, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Sidney H Kennedy
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, Krembil Research Centre, University Health Network, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada; Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada
| | - Glenda M MacQueen
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
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564
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Whittle S. The Role of Sport Involvement in Reducing Depressive Symptoms via Changes to Hippocampal Structure: Next Steps for Research in Developing Samples. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2019; 4:421-422. [PMID: 31054646 DOI: 10.1016/j.bpsc.2019.03.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 03/18/2019] [Indexed: 10/26/2022]
Affiliation(s)
- Sarah Whittle
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, and the Melbourne School of Psychological Sciences, The University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia.
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565
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Yan CG, Chen X, Li L, Castellanos FX, Bai TJ, Bo QJ, Cao J, Chen GM, Chen NX, Chen W, Cheng C, Cheng YQ, Cui XL, Duan J, Fang YR, Gong QY, Guo WB, Hou ZH, Hu L, Kuang L, Li F, Li KM, Li T, Liu YS, Liu ZN, Long YC, Luo QH, Meng HQ, Peng DH, Qiu HT, Qiu J, Shen YD, Shi YS, Wang CY, Wang F, Wang K, Wang L, Wang X, Wang Y, Wu XP, Wu XR, Xie CM, Xie GR, Xie HY, Xie P, Xu XF, Yang H, Yang J, Yao JS, Yao SQ, Yin YY, Yuan YG, Zhang AX, Zhang H, Zhang KR, Zhang L, Zhang ZJ, Zhou RB, Zhou YT, Zhu JJ, Zou CJ, Si TM, Zuo XN, Zhao JP, Zang YF. Reduced default mode network functional connectivity in patients with recurrent major depressive disorder. Proc Natl Acad Sci U S A 2019; 116:9078-9083. [PMID: 30979801 PMCID: PMC6500168 DOI: 10.1073/pnas.1900390116] [Citation(s) in RCA: 502] [Impact Index Per Article: 83.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Major depressive disorder (MDD) is common and disabling, but its neuropathophysiology remains unclear. Most studies of functional brain networks in MDD have had limited statistical power and data analysis approaches have varied widely. The REST-meta-MDD Project of resting-state fMRI (R-fMRI) addresses these issues. Twenty-five research groups in China established the REST-meta-MDD Consortium by contributing R-fMRI data from 1,300 patients with MDD and 1,128 normal controls (NCs). Data were preprocessed locally with a standardized protocol before aggregated group analyses. We focused on functional connectivity (FC) within the default mode network (DMN), frequently reported to be increased in MDD. Instead, we found decreased DMN FC when we compared 848 patients with MDD to 794 NCs from 17 sites after data exclusion. We found FC reduction only in recurrent MDD, not in first-episode drug-naïve MDD. Decreased DMN FC was associated with medication usage but not with MDD duration. DMN FC was also positively related to symptom severity but only in recurrent MDD. Exploratory analyses also revealed alterations in FC of visual, sensory-motor, and dorsal attention networks in MDD. We confirmed the key role of DMN in MDD but found reduced rather than increased FC within the DMN. Future studies should test whether decreased DMN FC mediates response to treatment. All R-fMRI indices of data contributed by the REST-meta-MDD consortium are being shared publicly via the R-fMRI Maps Project.
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Affiliation(s)
- Chao-Gan Yan
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China;
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
- Magnetic Resonance Imaging Research Center and Research Center for Lifespan Development of Mind and Brain, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- Department of Child and Adolescent Psychiatry, New York University School of Medicine, New York, NY 10016
| | - Xiao Chen
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Le Li
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Francisco Xavier Castellanos
- Department of Child and Adolescent Psychiatry, New York University School of Medicine, New York, NY 10016
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962
| | - Tong-Jian Bai
- Anhui Medical University, Hefei, Anhui 230022, China
| | - Qi-Jing Bo
- Beijing Anding Hospital, Capital Medical University, Beijing 100054, China
| | - Jun Cao
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Guan-Mao Chen
- The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong 510630, China
| | - Ning-Xuan Chen
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei Chen
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, China
| | - Chang Cheng
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Yu-Qi Cheng
- First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
| | - Xi-Long Cui
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Jia Duan
- Department of Psychiatry, First Affiliated Hospital, China Medical University, Shenyang, Liaoning 110001, China
| | - Yi-Ru Fang
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Qi-Yong Gong
- Department of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
- Psychoradiology Research Unit of Chinese Academy of Medical Sciences, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Wen-Bin Guo
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Zheng-Hua Hou
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210096, China
| | - Lan Hu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Li Kuang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Feng Li
- Beijing Anding Hospital, Capital Medical University, Beijing 100054, China
| | - Kai-Ming Li
- Department of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, China
| | - Tao Li
- Mental Health Center, West China Hospital, Sichuan University Chengdu, Sichuan 610041, China
| | - Yan-Song Liu
- Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu 215137, China
| | - Zhe-Ning Liu
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Yi-Cheng Long
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Qing-Hua Luo
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Hua-Qing Meng
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Dai-Hui Peng
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Hai-Tang Qiu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Jiang Qiu
- Faculty of Psychology, Southwest University, Chongqing 400716, China
| | - Yue-Di Shen
- Department of Diagnostics, Affiliated Hospital, School of Medicine, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China
| | - Yu-Shu Shi
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Chuan-Yue Wang
- Beijing Anding Hospital, Capital Medical University, Beijing 100054, China
| | - Fei Wang
- Department of Psychiatry, First Affiliated Hospital, China Medical University, Shenyang, Liaoning 110001, China
| | - Kai Wang
- Anhui Medical University, Hefei, Anhui 230022, China
| | - Li Wang
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China
- Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing 100191, China
| | - Xiang Wang
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Ying Wang
- The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong 510630, China
| | - Xiao-Ping Wu
- Xi'an Central Hospital, Xi'an, Shaanxi 710003, China
| | - Xin-Ran Wu
- Faculty of Psychology, Southwest University, Chongqing 400716, China
| | - Chun-Ming Xie
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing, Jiangsu 210009, China
| | - Guang-Rong Xie
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Hai-Yan Xie
- Department of Psychiatry, The Fourth Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Peng Xie
- Institute of Neuroscience, Chongqing Medical University, Chongqing 400016, China
- Chongqing Key Laboratory of Neurobiology, Chongqing 400016, China
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Xiu-Feng Xu
- First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
| | - Hong Yang
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Jian Yang
- The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi 710061, China
| | - Jia-Shu Yao
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, China
| | - Shu-Qiao Yao
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Ying-Ying Yin
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210096, China
| | - Yong-Gui Yuan
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210096, China
| | - Ai-Xia Zhang
- The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi 710061, China
| | - Hong Zhang
- Xi'an Central Hospital, Xi'an, Shaanxi 710003, China
| | - Ke-Rang Zhang
- First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Lei Zhang
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhi-Jun Zhang
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing, Jiangsu 210009, China
| | - Ru-Bai Zhou
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Yi-Ting Zhou
- Mental Health Center, West China Hospital, Sichuan University Chengdu, Sichuan 610041, China
| | - Jun-Juan Zhu
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Chao-Jie Zou
- First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China
| | - Tian-Mei Si
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China
- Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing 100191, China
| | - Xi-Nian Zuo
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
- Magnetic Resonance Imaging Research Center and Research Center for Lifespan Development of Mind and Brain, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jing-Ping Zhao
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China;
| | - Yu-Feng Zang
- Center for Cognition and Brain Disorders, Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China;
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang 311121, China
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566
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Vornholt E, Luo D, Qiu W, McMichael GO, Liu Y, Gillespie N, Ma C, Vladimirov VI. Postmortem brain tissue as an underutilized resource to study the molecular pathology of neuropsychiatric disorders across different ethnic populations. Neurosci Biobehav Rev 2019; 102:195-207. [PMID: 31028758 DOI: 10.1016/j.neubiorev.2019.04.015] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 03/27/2019] [Accepted: 04/23/2019] [Indexed: 12/14/2022]
Abstract
In recent years, large scale meta-analysis of genome-wide association studies (GWAS) have reliably identified genetic polymorphisms associated with neuropsychiatric disorders such as schizophrenia (SCZ), bipolar disorder (BPD) and major depressive disorder (MDD). However, the majority of disease-associated single nucleotide polymorphisms (SNPs) appear within functionally ambiguous non-coding genomic regions. Recently, increased emphasis has been placed on identifying the functional relevance of disease-associated variants via correlating risk polymorphisms with gene expression levels in etiologically relevant tissues. For neuropsychiatric disorders, the etiologically relevant tissue is brain, which requires robust postmortem sample sizes from varying genetic backgrounds. While small sample sizes are of decreasing concern, postmortem brain databases are composed almost exclusively of Caucasian samples, which significantly limits study design and result interpretation. In this review, we highlight the importance of gene expression and expression quantitative loci (eQTL) studies in clinically relevant postmortem tissue while addressing the current limitations of existing postmortem brain databases. Finally, we introduce future collaborations to develop postmortem brain databases for neuropsychiatric disorders from Chinese and Asian subpopulations.
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Affiliation(s)
- Eric Vornholt
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 800 E. Leigh St., Biotech One, Suite 100, Richmond, VA 23219, USA.
| | - Dan Luo
- National Key Laboratory of Medical Molecular Biology & Department of Immunology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, 100005, China
| | - Wenying Qiu
- Institute of Basic Medical Sciences, Department of Human Anatomy, Histology and Embryology, Neuroscience Center, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, 100005, China
| | - Gowon O McMichael
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 800 E. Leigh St., Biotech One, Suite 100, Richmond, VA 23219, USA
| | - Yangyang Liu
- School of Education, Tianjin University, 92 Weijin Road, Tianjin, 300072, China
| | - Nathan Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 800 E. Leigh St., Biotech One, Suite 100, Richmond, VA 23219, USA; Department Psychiatry, Virginia Commonwealth University, 1200 East Broad Street, Richmond, VA 23298, USA
| | - Chao Ma
- Institute of Basic Medical Sciences, Department of Human Anatomy, Histology and Embryology, Neuroscience Center, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, 100005, China; Joint Laboratory of Anesthesia and Pain, Peking Union Medical College. Beijing, 100730, China.
| | - Vladimir I Vladimirov
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 800 E. Leigh St., Biotech One, Suite 100, Richmond, VA 23219, USA; Department Psychiatry, Virginia Commonwealth University, 1200 East Broad Street, Richmond, VA 23298, USA; Center for Biomarker Research, Virginia Commonwealth University, Richmond, 410 North 12th Street, Richmond, VA 23298, USA; Department of Physiology & Biophysics, Virginia Commonwealth University, 1101 East Marshall Street, Richmond, VA 23298, USA; Lieber Institute for Brain Development, Johns Hopkins University, 855 North Wolfe Street, Suite 300, 3rd Floor, Baltimore, MD 21205, USA.
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567
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Simanek AM, Zheng C, Yolken R, Haan M, Aiello AE. A Longitudinal Study of the Association Between Persistent Pathogens and Incident Depression Among Older U.S. Latinos. J Gerontol A Biol Sci Med Sci 2019; 74:634-641. [PMID: 30084944 PMCID: PMC6477673 DOI: 10.1093/gerona/gly172] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2017] [Indexed: 11/12/2022] Open
Abstract
Depression is estimated to affect more than 6.5 million Americans 65 years of age and older and compared with non-Latino whites older U.S. Latinos have a greater incidence and severity of depression, warranting further investigation of novel risk factors for depression onset among this population. We used data on 771/1,789 individuals ≥60 years of age from the Sacramento Area Latino Study on Aging (1998-2008) who were tested for cytomegalovirus (CMV), herpes simplex virus, varicella zoster, Helicobacter pylori, Toxoplasma gondii, and C-reactive protein (CRP) and interleukin-6 (IL-6) level. Among those without elevated depressive symptoms at baseline, we examined the association between each pathogen, inflammatory markers and incident depression over up to nearly 10 years of follow-up using discrete-time logistic regression. We found that only CMV seropositivity was statistically significantly associated with increased odds of incident depression (odds ratio [OR]: 1.38, 95% confidence interval [CI]: 1.00-1.90) in the total sample as well as among women only (OR: 1.70, 95% CI: 1.01-2.86). These associations were not mediated by CRP or IL-6 levels. Our findings suggest that CMV seropositivity may serve as an important risk factor for the onset of depression among older U.S. Latinos, but act outside of inflammatory pathways.
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Affiliation(s)
- Amanda M Simanek
- Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee
| | - Cheng Zheng
- Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee
| | - Robert Yolken
- Stanley Division of Developmental Neurovirology, Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Mary Haan
- Department of Epidemiology and Biostatistics, University of California, San Francisco School of Medicine
| | - Allison E Aiello
- Department of Epidemiology, University of North Carolina Gillings School of Public Health, Chapel Hill
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568
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Interactive effects of genetic polymorphisms and childhood adversity on brain morphologic changes in depression. Prog Neuropsychopharmacol Biol Psychiatry 2019. [PMID: 29535036 DOI: 10.1016/j.pnpbp.2018.03.009] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
The etiology of depression is characterized by the interplay of genetic and environmental factors and brain structural alteration. Childhood adversity is a major contributing factor in the development of depression. Interactions between childhood adversity and candidate genes for depression could affect brain morphology via the modulation of neurotrophic factors, serotonergic neurotransmission, or the hypothalamus-pituitary-adrenal (HPA) axis, and this pathway may explain the subsequent onset of depression. Childhood adversity is associated with structural changes in the hippocampus, amygdala, anterior cingulate cortex (ACC), and prefrontal cortex (PFC), as well as white matter tracts such as the corpus callosum, cingulum, and uncinate fasciculus. Childhood adversity showed an interaction with the brain-derived neurotrophic factor (BDNF) gene Val66Met polymorphism, serotonin transporter-linked promoter region (5-HTTLPR), and FK506 binding protein 51 (FKBP5) gene rs1360780 in brain morphologic changes in patients with depression and in a non-clinical population. Individuals with the Met allele of BDNF Val66Met and a history of childhood adversity had reduced volume in the hippocampus and its subfields, amygdala, and PFC and thinner rostral ACC in a study of depressed patients and healthy controls. The S allele of 5-HTTLPR combined with exposure to childhood adversity or a poorer parenting environment was associated with a smaller hippocampal volume and subsequent onset of depression. The FKBP5 gene rs160780 had a significant interaction with childhood adversity in the white matter integrity of brain regions involved in emotion processing. This review identified that imaging genetic studies on childhood adversity may deepen our understanding on the neurobiological background of depression by scrutinizing complicated pathways of genetic factors, early psychosocial environments, and the accompanying morphologic changes in emotion-processing neural circuitry.
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569
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Liu CH, Zhang GZ, Li B, Li M, Woelfer M, Walter M, Wang L. Role of inflammation in depression relapse. J Neuroinflammation 2019; 16:90. [PMID: 30995920 PMCID: PMC6472093 DOI: 10.1186/s12974-019-1475-7] [Citation(s) in RCA: 101] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Accepted: 04/01/2019] [Indexed: 12/13/2022] Open
Abstract
Major depressive disorder (MDD) is a leading cause of disability worldwide. After the first episode, patients with remitted MDD have a 60% chance of experiencing a second episode. Consideration of therapy continuation should be viewed in terms of the balance between the adverse effects of medication and the need to prevent a possible relapse. Relapse during the early stages of MDD could be prevented more efficiently by conducting individual risk assessments and providing justification for continuing therapy. Our previous work established the neuroimaging markers of relapse by comparing patients with recurrent major depressive disorder (rMDD) in depressive and remitted states. However, it is not known which of these markers are trait markers that present before initial relapse and, consequently, predict disease course. Here, we first describe how inflammation can be translated to subtype-specific clinical features and suggest how this could be used to facilitate clinical diagnosis and treatment. Next, we address the central and peripheral functional state of the immune system in patients with MDD. In addition, we emphasize the important link between the number of depressive episodes and rMDD and use neuroimaging to propose a model for the latter. Last, we address how inflammation can affect brain circuits, providing a possible mechanism for rMDD. Our review suggests a link between inflammatory processes and brain region/circuits in rMDD.
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Affiliation(s)
- Chun-Hong Liu
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Traditional Chinese Medicine, Beijing Key Laboratory of Acupuncture Neuromodulation, Beijing, 100010 China
| | - Guang-Zhong Zhang
- Dermatological Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010 China
| | - Bin Li
- Acupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010 China
| | - Meng Li
- Clinical Affective Neuroimaging Laboratory (CANLAB), Otto-von-Guericke-University Magdeburg, Magdeburg, 39120 Germany
| | - Marie Woelfer
- Clinical Affective Neuroimaging Laboratory (CANLAB), Otto-von-Guericke-University Magdeburg, Magdeburg, 39120 Germany
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102 USA
| | - Martin Walter
- Clinical Affective Neuroimaging Laboratory (CANLAB), Otto-von-Guericke-University Magdeburg, Magdeburg, 39120 Germany
- Department of Psychiatry and Psychotherapy, University of Tuebingen, Tubeingen, 72074 Germany
- Leibniz Institute for Neurobiology, Magdeburg, 39118 Germany
| | - Lihong Wang
- Department of Psychiatry, University of Connecticut Health Center, Farmington, CT 06030 USA
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570
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van Erp TGM, Walton E, Hibar DP, Schmaal L, Jiang W, Glahn DC, Pearlson GD, Yao N, Fukunaga M, Hashimoto R, Okada N, Yamamori H, Clark VP, Mueller BA, de Zwarte SMC, Ophoff RA, van Haren NEM, Andreassen OA, Gurholt TP, Gruber O, Kraemer B, Richter A, Calhoun VD, Crespo-Facorro B, Roiz-Santiañez R, Tordesillas-Gutiérrez D, Loughland C, Catts S, Fullerton JM, Green MJ, Henskens F, Jablensky A, Mowry BJ, Pantelis C, Quidé Y, Schall U, Scott RJ, Cairns MJ, Seal M, Tooney PA, Rasser PE, Cooper G, Weickert CS, Weickert TW, Hong E, Kochunov P, Gur RE, Gur RC, Ford JM, Macciardi F, Mathalon DH, Potkin SG, Preda A, Fan F, Ehrlich S, King MD, De Haan L, Veltman DJ, Assogna F, Banaj N, de Rossi P, Iorio M, Piras F, Spalletta G, Pomarol-Clotet E, Kelly S, Ciufolini S, Radua J, Murray R, Marques TR, Simmons A, Borgwardt S, Schönborn-Harrisberger F, Riecher-Rössler A, Smieskova R, Alpert KI, Bertolino A, Bonvino A, Di Giorgio A, Neilson E, Mayer AR, Yun JY, Cannon DM, Lebedeva I, Tomyshev AS, Akhadov T, Kaleda V, Fatouros-Bergman H, Flyckt L, Karolinska Schizophrenia Project (KaSP), Rosa PGP, Serpa MH, Zanetti MV, Hoschl C, Skoch A, Spaniel F, Tomecek D, McIntosh AM, Whalley HC, Knöchel C, et alvan Erp TGM, Walton E, Hibar DP, Schmaal L, Jiang W, Glahn DC, Pearlson GD, Yao N, Fukunaga M, Hashimoto R, Okada N, Yamamori H, Clark VP, Mueller BA, de Zwarte SMC, Ophoff RA, van Haren NEM, Andreassen OA, Gurholt TP, Gruber O, Kraemer B, Richter A, Calhoun VD, Crespo-Facorro B, Roiz-Santiañez R, Tordesillas-Gutiérrez D, Loughland C, Catts S, Fullerton JM, Green MJ, Henskens F, Jablensky A, Mowry BJ, Pantelis C, Quidé Y, Schall U, Scott RJ, Cairns MJ, Seal M, Tooney PA, Rasser PE, Cooper G, Weickert CS, Weickert TW, Hong E, Kochunov P, Gur RE, Gur RC, Ford JM, Macciardi F, Mathalon DH, Potkin SG, Preda A, Fan F, Ehrlich S, King MD, De Haan L, Veltman DJ, Assogna F, Banaj N, de Rossi P, Iorio M, Piras F, Spalletta G, Pomarol-Clotet E, Kelly S, Ciufolini S, Radua J, Murray R, Marques TR, Simmons A, Borgwardt S, Schönborn-Harrisberger F, Riecher-Rössler A, Smieskova R, Alpert KI, Bertolino A, Bonvino A, Di Giorgio A, Neilson E, Mayer AR, Yun JY, Cannon DM, Lebedeva I, Tomyshev AS, Akhadov T, Kaleda V, Fatouros-Bergman H, Flyckt L, Karolinska Schizophrenia Project (KaSP), Rosa PGP, Serpa MH, Zanetti MV, Hoschl C, Skoch A, Spaniel F, Tomecek D, McIntosh AM, Whalley HC, Knöchel C, Oertel-Knöchel V, Howells FM, Stein DJ, Temmingh HS, Uhlmann A, Lopez-Jaramillo C, Dima D, Faskowitz JI, Gutman BA, Jahanshad N, Thompson PM, Turner JA. Reply to: New Meta- and Mega-analyses of Magnetic Resonance Imaging Findings in Schizophrenia: Do They Really Increase Our Knowledge About the Nature of the Disease Process? Biol Psychiatry 2019; 85:e35-e39. [PMID: 30470561 PMCID: PMC7041557 DOI: 10.1016/j.biopsych.2018.10.003] [Show More Authors] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Accepted: 10/05/2018] [Indexed: 10/27/2022]
Affiliation(s)
- Theo GM van Erp
- Department of Psychiatry and Human Behavior, University of
California, Irvine, Irvine, CA, USA,Corresponding Author: Theo G.M. van Erp, Clinical
Translational Neuroscience Laboratory, Department of Psychiatry and Human
Behavior, School of Medicine, University of California Irvine, 5251 California
Avenue, Suite 240, Irvine, CA 92617, voice: (949) 824-3331,
| | - Esther Walton
- Medical Research Council Integrative Epidemiology Unit and
Bristol Medical School, Population Health Sciences, University of Bristol, United
Kingdom
| | - Derrek P Hibar
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging
& Informatics Institute, Keck School of Medicine of the University of Southern
California, Marina del Rey, CA, USA,Janssen Research & Development, San Diego, CA,
USA
| | - Lianne Schmaal
- Orygen, The National Centre of Excellence in Youth Mental
Health, Melbourne, VIC, Australia,Centre for Youth Mental Health, The University of
Melbourne, Melbourne, VIC, Australia,Department of Psychiatry and Amsterdam Neuroscience, VU
University Medical Center, Amsterdam, The Netherlands
| | - Wenhao Jiang
- Department of Psychology, Georgia State University,
Atlanta, GA, USA
| | - David C Glahn
- Department of Psychiatry, Yale University, New Haven, CT,
USA,Olin Neuropsychiatric Research Center, Institute of
Living, Hartford Hospital, Hartford, CT, USA
| | - Godfrey D Pearlson
- Department of Psychiatry, Yale University, New Haven, CT,
USA,Olin Neuropsychiatric Research Center, Institute of
Living, Hartford Hospital, Hartford, CT, USA
| | - Nailin Yao
- Department of Psychiatry, Yale University, New Haven, CT,
USA,Olin Neuropsychiatric Research Center, Institute of
Living, Hartford Hospital, Hartford, CT, USA
| | - Masaki Fukunaga
- Division of Cerebral Integration, National Institute for
Physiological Sciences, Okazaki, Aichi, Japan
| | - Ryota Hashimoto
- Molecular Research Center for Children's Mental
Development, United Graduate School of Child Development, Osaka University, Suita,
Osaka, Japan,Department of Psychiatry, Osaka University Graduate
School of Medicine, Suita, Osaka, Japan
| | - Naohiro Okada
- Department of Neuropsychiatry, Graduate school of
Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Hidenaga Yamamori
- Department of Psychiatry, Osaka University Graduate
School of Medicine, Suita, Osaka, Japan
| | - Vincent P Clark
- University of New Mexico, Albuquerque, NM, USA,Mind Research Network, Albuquerque, NM, USA
| | - Bryon A Mueller
- Department of Psychiatry, University of Minnesota,
Minneapolis, MN, USA
| | - Sonja MC de Zwarte
- Department of Psychiatry and Brain Center Rudolf Magnus,
University Medical Center Utrecht, Utrecht, The Netherlands
| | - Roel A Ophoff
- Department of Psychiatry and Brain Center Rudolf Magnus,
University Medical Center Utrecht, Utrecht, The Netherlands,University of California Los Angeles Center for
Neurobehavioral Genetics, Los Angeles, CA, USA
| | - Neeltje EM van Haren
- Department of Psychiatry and Brain Center Rudolf Magnus,
University Medical Center Utrecht, Utrecht, The Netherlands,Department of child and adolescent
psychiatry/psychology, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT),
K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine,
University of Oslo, Oslo, Norway,Norwegian Centre for Mental Disorders Research (NORMENT),
K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction,
Oslo University Hospital, Oslo, Norway
| | - Tiril P Gurholt
- Norwegian Centre for Mental Disorders Research (NORMENT),
K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine,
University of Oslo, Oslo, Norway,Department of Psychiatric Research, Diakonhjemmet
Hospital, Oslo, Norway
| | - Oliver Gruber
- Section for Experimental Psychopathology and
Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital,
Heidelberg, Germany,Center for Translational Research in Systems Neuroscience
and Psychiatry, Department of Psychiatry, Georg August University, Göttingen,
Germany
| | - Bernd Kraemer
- Section for Experimental Psychopathology and
Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital,
Heidelberg, Germany,Center for Translational Research in Systems Neuroscience
and Psychiatry, Department of Psychiatry, Georg August University, Göttingen,
Germany
| | - Anja Richter
- Section for Experimental Psychopathology and
Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital,
Heidelberg, Germany,Center for Translational Research in Systems Neuroscience
and Psychiatry, Department of Psychiatry, Georg August University, Göttingen,
Germany
| | - Vince D Calhoun
- University of New Mexico, Albuquerque, NM, USA,Mind Research Network, Albuquerque, NM, USA
| | - Benedicto Crespo-Facorro
- Department of Psychiatry, University Hospital
Marqués de Valdecilla, School of Medicine, University of Cantabria-Valdecilla
Biomedical Research Institute, Marqués de Valdecilla Research Institute
(IDIVAL), Santander, Spain,Centro Investigación Biomédica en Red de
Salud Mental (CIBERSAM), Santander, Spain
| | - Roberto Roiz-Santiañez
- Department of Psychiatry, University Hospital
Marqués de Valdecilla, School of Medicine, University of Cantabria-Valdecilla
Biomedical Research Institute, Marqués de Valdecilla Research Institute
(IDIVAL), Santander, Spain,Centro Investigación Biomédica en Red de
Salud Mental (CIBERSAM), Santander, Spain
| | - Diana Tordesillas-Gutiérrez
- Department of Psychiatry, University Hospital
Marqués de Valdecilla, School of Medicine, University of Cantabria-Valdecilla
Biomedical Research Institute, Marqués de Valdecilla Research Institute
(IDIVAL), Santander, Spain,Centro Investigación Biomédica en Red de
Salud Mental (CIBERSAM), Santander, Spain,Neuroimaging Unit.Technological Facilities, Valdecilla
Biomedical Research Institute IDIVAL, Santander, Cantabria, Spain Dresden, Dresden,
Germany
| | - Carmel Loughland
- Hunter Medical Research Institute, Newcastle, NSW,
Australia,Priority Research Centre for Brain & Mental Health,
The University of Newcastle, Newcastle, NSW, Australia,Hunter New England Local Health District, Newcastle,
NSW, Australia
| | | | - Janice M Fullerton
- Neuroscience Research Australia, Sydney, NSW,
Australia,School of Medical Sciences, University of New South
Wales, Sydney, NSW, Australia
| | - Melissa J Green
- School of Psychiatry, University of New South Wales,
Sydney, NSW, Australia,Neuroscience Research Australia, Sydney, NSW,
Australia
| | - Frans Henskens
- Priority Research Center for Health Behaviour, The
University of Newcastle, Newcastle, NSW, Australia,Hunter Medical Research Institute, Newcastle, NSW,
Australia,School of Medicine and Public Health, The University of
Newcastle, Newcastle, NSW, Australia
| | | | - Bryan J Mowry
- Queensland Brain Institute, The University of Queensland,
Brisbane, QLD, Australia,Queensland Centre for Mental Health Research, The
University of Queensland, Brisbane, QLD, Australia
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, University of Melbourne
& Melbourne Health, Melbourne, VIC, Australia,Florey Institute of Neuroscience and Mental Health,
University of Melbourne, VIC, Australia
| | - Yann Quidé
- School of Psychiatry, University of New South Wales,
Sydney, NSW, Australia,Neuroscience Research Australia, Sydney, NSW,
Australia
| | - Ulrich Schall
- Priority Research Centres for Brain & Mental Health
and Grow Up Well, The University of Newcastle, Newcastle, NSW, Australia,Hunter Medical Research Institute, Newcastle, NSW,
Australia
| | - Rodney J Scott
- School of Biomedical Sciences and Pharmacy, The
University of Newcastle, Newcastle, NSW, Australia,Hunter Medical Research Institute, Newcastle, NSW,
Australia
| | - Murray J Cairns
- School of Biomedical Sciences and Pharmacy, The
University of Newcastle, Newcastle, NSW, Australia,Hunter Medical Research Institute, Newcastle, NSW,
Australia
| | - Marc Seal
- Murdoch Children's Research Institute, Melbourne,
VIC, Australia
| | - Paul A Tooney
- School of Biomedical Sciences and Pharmacy, The
University of Newcastle, Newcastle, NSW, Australia,Hunter Medical Research Institute, Newcastle, NSW,
Australia,Priority Research Centre for Brain & Mental Health,
The University of Newcastle, Newcastle, NSW, Australia
| | - Paul E Rasser
- Priority Research Centre for Brain & Mental Health,
The University of Newcastle, Newcastle, NSW, Australia
| | - Gavin Cooper
- Priority Research Centre for Brain & Mental Health,
The University of Newcastle, Newcastle, NSW, Australia
| | - Cynthia Shannon Weickert
- School of Psychiatry, University of New South Wales,
Sydney, NSW, Australia,Neuroscience Research Australia, Sydney, NSW,
Australia
| | - Thomas W Weickert
- School of Psychiatry, University of New South Wales,
Sydney, NSW, Australia,Neuroscience Research Australia, Sydney, NSW,
Australia
| | - Elliot Hong
- Maryland Psychiatric Research Center, University of
Maryland School of Medicine, Baltimore, MD, USA
| | - Peter Kochunov
- Maryland Psychiatric Research Center, University of
Maryland School of Medicine, Baltimore, MD, USA
| | - Raquel E Gur
- Department of Psychiatry, University of Pennsylvania,
Philadelphia, PA, USA
| | - Ruben C Gur
- Department of Psychiatry, University of Pennsylvania,
Philadelphia, PA, USA
| | - Judith M Ford
- Department of Psychiatry, University of California, San
Francisco, San Francisco, CA, USA,San Francisco VA Medical Center, San Francisco, CA,
USA
| | - Fabio Macciardi
- Department of Psychiatry and Human Behavior, University of
California, Irvine, Irvine, CA, USA
| | - Daniel H Mathalon
- Department of Psychiatry, University of California, San
Francisco, San Francisco, CA, USA,San Francisco VA Medical Center, San Francisco, CA,
USA
| | - Steven G Potkin
- Department of Psychiatry and Human Behavior, University of
California, Irvine, Irvine, CA, USA
| | - Adrian Preda
- Department of Psychiatry and Human Behavior, University of
California, Irvine, Irvine, CA, USA
| | - Fengmei Fan
- Psychiatry Research Center, Beijing Huilongguan Hospital,
Beijing, China
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and
Developmental Neurosciences, Faculty of Medicine, TU Dresden, Germany, Dresden,
Germany,Massachusetts General Hospital/ Harvard Medical School,
Athinoula A. Martinos Center for Biomedical Imaging, Psychiatric Neuroimaging
Research Program
| | | | - Lieuwe De Haan
- Department of psychiatry, Academic Medical Center,
University of Amsterdam, Amsterdam, The Netherlands
| | - Dick J Veltman
- Department of Psychiatry, Vrije Universiteit Medical
Center, Amsterdam, The Netherlands
| | - Francesca Assogna
- Laboratory of Neuropsychiatry, Department of Clinical and
Behavioral Neurology, Istituto Di Ricovero e Cura a Carattere Scientifico Santa
Lucia Foundation, Rome, Italy,Centro Fermi - Museo Storico della Fisica e Centro Studi
e Ricerche “Enrico Fermi”, Rome, Italy
| | - Nerisa Banaj
- Laboratory of Neuropsychiatry, Department of Clinical and
Behavioral Neurology, Istituto Di Ricovero e Cura a Carattere Scientifico Santa
Lucia Foundation, Rome, Italy
| | - Pietro de Rossi
- Laboratory of Neuropsychiatry, Department of Clinical and
Behavioral Neurology, Istituto Di Ricovero e Cura a Carattere Scientifico Santa
Lucia Foundation, Rome, Italy,Dipartimento di Neuroscienze, Salute Mentale e Organi di
Senso (NESMOS) Department, Faculty of Medicine and Psychology, University
“Sapienza” of Rome, Rome, Italy,Department of Neurology and Psychiatry, Sapienza
University of Rome, Rome, Italy
| | - Mariangela Iorio
- Laboratory of Neuropsychiatry, Department of Clinical and
Behavioral Neurology, Istituto Di Ricovero e Cura a Carattere Scientifico Santa
Lucia Foundation, Rome, Italy
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, Department of Clinical and
Behavioral Neurology, Istituto Di Ricovero e Cura a Carattere Scientifico Santa
Lucia Foundation, Rome, Italy,Centro Fermi - Museo Storico della Fisica e Centro Studi
e Ricerche “Enrico Fermi”, Rome, Italy
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, Department of Clinical and
Behavioral Neurology, Istituto Di Ricovero e Cura a Carattere Scientifico Santa
Lucia Foundation, Rome, Italy,Beth K. and Stuart C. Yudofsky Division of
Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences, Baylor
College of Medicine, Houston, Tx USA
| | - Edith Pomarol-Clotet
- Fundación para la Investigación y Docencia
Maria Angustias Giménez (FIDMAG) Germanes Hospitalaries Research Foundation,
Barcelona, Spain,Centro Investigación Biomédica en Red de
Salud Mental (CIBERSAM), Barcelona, Spain
| | - Sinead Kelly
- Department of Psychiatry, Beth Israel Deaconess Medical
Center, Harvard Medical School, Boston, MA, USA,Psychiatry Neuroimaging Laboratory, Brigham and
Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Simone Ciufolini
- Department of Psychosis Studies, Institute of Psychiatry,
Psychology and Neuroscience, King's College London, London, United
Kingdom
| | - Joaquim Radua
- Department of Clinical Neuroscience, Centre for
Psychiatric Research, Karolinska Institutet, Stockholm, Sweden,Fundación para la Investigación y Docencia
Maria Angustias Giménez (FIDMAG) Germanes Hospitalaries Research Foundation,
Barcelona, Spain,Centro Investigación Biomédica en Red de
Salud Mental (CIBERSAM), Barcelona, Spain,Department of Psychosis Studies, Institute of Psychiatry,
Psychology and Neuroscience, King's College London, London, United
Kingdom,Institut d'Investigacions Biomediques August Pi i
Sunyer (IDIBAPS), Barcelona, Spain
| | - Robin Murray
- Department of Psychosis Studies, Institute of Psychiatry,
Psychology and Neuroscience, King's College London, London, United
Kingdom
| | - Tiago Reis Marques
- Department of Psychosis Studies, Institute of Psychiatry,
Psychology and Neuroscience, King's College London, London, United
Kingdom
| | - Andrew Simmons
- Department of Psychosis Studies, Institute of Psychiatry,
Psychology and Neuroscience, King's College London, London, United
Kingdom
| | | | | | | | | | - Kathryn I Alpert
- Department of Psychiatry and Behavioral Sciences,
Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience and
Sense Organs, University of Bari "Aldo Moro", Bari, Italy
| | - Aurora Bonvino
- Istituto Di Ricovero e Cura a Carattere Scientifico Casa
Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Annabella Di Giorgio
- Istituto Di Ricovero e Cura a Carattere Scientifico Casa
Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Emma Neilson
- Division of Psychiatry, University of Edinburgh,
Edinburgh, United Kingdom
| | | | - Je-Yeon Yun
- Seoul National University Hospital, Seoul, Republic of
Korea,Yeongeon Student Support Center, Seoul National
University College of Medicine, Seoul, Republic of Korea
| | - Dara M Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG),
Clinical Neuroimaging Laboratory, National Centre for Biomedical Engineering Galway
Neuroscience Centre, College of Medicine Nursing and Health Sciences, National
University of Ireland Galway, H91 TK33 Galway, Ireland
| | | | | | - Tolibjohn Akhadov
- Children's Clinical and Research Institute of
Emergency Surgery and Trauma, Moscow, Russia
| | | | - Helena Fatouros-Bergman
- Centre for Psychiatry Research, Department of Clinical
Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Stockholm
County Council, Stockholm, Sweden
| | - Lena Flyckt
- Centre for Psychiatry Research, Department of Clinical
Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Stockholm
County Council, Stockholm, Sweden
| | | | - Pedro GP Rosa
- Laboratory of Psychiatric Neuroimaging (LIM 21),
Department of Psychiatry, Faculty of Medicine, University of São Paulo,
São Paulo, Brazil,Center for Interdisciplinary Research on Applied
Neurosciences (NAPNA), University of São Paulo, São Paulo,
Brazil
| | - Mauricio H Serpa
- Laboratory of Psychiatric Neuroimaging (LIM 21),
Department of Psychiatry, Faculty of Medicine, University of São Paulo,
São Paulo, Brazil,Center for Interdisciplinary Research on Applied
Neurosciences (NAPNA), University of São Paulo, São Paulo,
Brazil
| | - Marcus V Zanetti
- Laboratory of Psychiatric Neuroimaging (LIM 21),
Department of Psychiatry, Faculty of Medicine, University of São Paulo,
São Paulo, Brazil,Center for Interdisciplinary Research on Applied
Neurosciences (NAPNA), University of São Paulo, São Paulo,
Brazil
| | - Cyril Hoschl
- National Institute of Mental Health, Klecany, Czech
Republic
| | - Antonin Skoch
- National Institute of Mental Health, Klecany, Czech
Republic,MR Unit, Department of Diagnostic and Interventional
Radiology, Institute for Clinical and Experimental Medicine, Prague, Czech
Republic
| | - Filip Spaniel
- National Institute of Mental Health, Klecany, Czech
Republic
| | - David Tomecek
- National Institute of Mental Health, Klecany, Czech
Republic,Institute of Computer Science, Czech Academy of
Sciences, Prague, Czech Republic,Faculty of Electrical Engineering, Czech Technical
University in Prague, Prague, Czech Republic
| | - Andrew M McIntosh
- Division of Psychiatry, University of Edinburgh,
Edinburgh, United Kingdom,Centre for Cognitive Ageing and Cognitive Epidemiology,
University of Edinburgh, Edinburgh, United Kingdom
| | - Heather C Whalley
- Division of Psychiatry, University of Edinburgh,
Edinburgh, United Kingdom
| | - Christian Knöchel
- Department of Psychiatry, Psychosomatic Medicine and
Psychotherapy, University Hospital Frankfurt, Goethe University Frankfurt,
Frankfurt, Germany
| | - Viola Oertel-Knöchel
- Department of Psychiatry, Psychosomatic Medicine and
Psychotherapy, University Hospital Frankfurt, Goethe University Frankfurt,
Frankfurt, Germany
| | - Fleur M Howells
- University of Cape Town Dept of Psychiatry, Groote
Schuur Hospital (J2), Cape Town South Africa
| | - Dan J Stein
- University of Cape Town Dept of Psychiatry, Groote
Schuur Hospital (J2), Cape Town South Africa,Medical Research Council Unit on Risk & Resilience
in Mental Disorders, Department of Psychiatry, University of Cape Town, Cape Town,
South Africa
| | - Henk S Temmingh
- University of Cape Town Dept of Psychiatry, Groote
Schuur Hospital (J2), Cape Town South Africa
| | - Anne Uhlmann
- University of Cape Town Dept of Psychiatry, Groote
Schuur Hospital (J2), Cape Town South Africa,MRC Unit on Risk & Resilience in Mental Disorders,
Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
| | - Carlos Lopez-Jaramillo
- Research Group in Psychiatry, Department of Psychiatry,
Faculty of Medicine, Universidad de Antioquia, Medellin, Colombia
| | - Danai Dima
- Department of Psychology, City, University of London,
London, United Kingdom,Department of Neuroimaging, IOPPN, King's College
London, London, United Kingdom
| | - Joshua I Faskowitz
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging
& Informatics Institute, Keck School of Medicine of the University of Southern
California, Marina del Rey, CA, USA
| | - Boris A Gutman
- Department of Biomedical Engineering, Illinois Institute
of Technology, Chicago, Illinois
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging
& Informatics Institute, Keck School of Medicine of the University of Southern
California, Marina del Rey, CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging
& Informatics Institute, Keck School of Medicine of the University of Southern
California, Marina del Rey, CA, USA
| | - Jessica A Turner
- Mind Research Network, Albuquerque, NM, USA,Imaging Genetics and Neuroinformatics Lab, Department of
Psychology, Georgia State University, Atlanta, GA, USA
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571
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Mediation of the influence of childhood maltreatment on depression relapse by cortical structure: a 2-year longitudinal observational study. Lancet Psychiatry 2019; 6:318-326. [PMID: 30904126 DOI: 10.1016/s2215-0366(19)30044-6] [Citation(s) in RCA: 90] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 01/14/2019] [Accepted: 01/17/2019] [Indexed: 12/29/2022]
Abstract
BACKGROUND Childhood maltreatment is a leading environmental risk factor for an unfavourable course of disease in major depressive disorder. Both maltreatment and major depressive disorder are associated with similar brain structural alterations suggesting that brain structural changes could mediate the adverse influence of maltreatment on clinical outcome in major depressive disorder. However, longitudinal studies have not been able to confirm this hypothesis. We therefore aimed to clarify the relationship between childhood trauma, brain structural alterations, and depression relapse in a longitudinal design. METHODS We recruited participants at the Department of Psychiatry, University of Münster, Germany, from the Münster Neuroimage Cohort for whom 2-year longitudinal clinical data were available. Baseline data acquisition comprised clinical assessments, structural MRI, and retrospective assessment of the extent of childhood maltreatment experiences using the Childhood Trauma Questionnaire. Clinical follow-up assessments were conducted in all participants 2 years after initial recruitment. FINDINGS Initial recruitment was March 21, 2010-Jan 29, 2016; follow-up reassessment Sept 7, 2012-March 9, 2018. 110 patients with major depressive disorder participated in this study. 35 patients were relapse-free, whereas 75 patients had experienced depression relapse within the 2-year follow-up period. Childhood maltreatment was significantly associated with depression relapse during follow-up (odds ratio [OR] 1·035, 95% CI 1·001-1·070; p=0·045). Both previous childhood maltreatment experiences and future depression relapse were associated with reduced cortical surface area (OR 0·996, 95% CI 0·994-0·999; p=0·001), primarily in the right insula at baseline (r=-0·219, p=0·023). Insular surface area was shown to mediate the association between maltreatment and future depression relapse (indirect effect: coefficient 0·0128, SE 0·0081, 95% CI 0·0024-0·0333). INTERPRETATION Early life stress has a detrimental effect on brain structure, which increases the risk of unfavourable disease courses in major depression. Clinical and translational research should explore the role of childhood maltreatment as causing a potential clinically and biologically distinct subtype of major depressive disorder. FUNDING The German Research Foundation, the Interdisciplinary Centre for Clinical Research, and the Deanery of the Medical Faculty of the University of Münster.
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572
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Uhlmann A, Bandelow B, Stein DJ, Bloch S, Engel KR, Havemann-Reinecke U, Wedekind D. Grey matter structural differences in alcohol-dependent individuals with and without comorbid depression/anxiety-an MRI study. Eur Arch Psychiatry Clin Neurosci 2019; 269:285-294. [PMID: 29372325 DOI: 10.1007/s00406-018-0870-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Accepted: 01/15/2018] [Indexed: 10/18/2022]
Abstract
Although depression and anxiety disorders are common comorbid conditions in alcohol dependence, few structural brain imaging studies have compared alcohol-dependent subjects with and without such comorbidity. In the current study, brain scans of 35 alcohol-dependent with and 40 individuals without diagnosis of a comorbid ICD-10 depressive or anxiety disorder receiving detoxification inpatient treatment were evaluated. Thickness and volumes of automatically segmented neuroanatomical structures were measured in FreeSurfer. Furthermore, associations of brain structure with biological markers and clinical severity markers of alcohol dependence were assessed. Despite comparable addiction severity, the non-comorbid group had evidence of higher cytotoxic effects of alcohol use on hepatic and haematological markers, and showed significantly smaller volumes of total cerebral, and cerebellar grey matter. Similarly, they showed unexpected smaller hippocampal and nucleus accumbens volumes, and thinner frontal, temporal and occipital cortices. Smaller brain volumes correlated with increased markers of hepatic and haematological dysfunction, and with longer duration of alcohol dependence in the non-comorbid group. Evidence of higher biomarkers of alcohol use may be indicative of more severe alcohol dependence or higher vulnerability to ethanol toxicity in this group. Furthermore, psychopathology-related drug treatment, which occurred in 53% of the comorbid group over the recent years, or tissue inflammation may have a moderate effect on the grade of cerebral atrophy in alcohol-dependent patients. Longitudinal studies are needed to investigate this issue more fully.
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Affiliation(s)
- A Uhlmann
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.,Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
| | - B Bandelow
- Department of Psychiatry and Psychotherapy, University Medical Centre, University of Goettingen, von-Siebold-Strasse 5, 37075, Göttingen, Germany
| | - D J Stein
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - S Bloch
- Department of Psychiatry and Psychotherapy, University Medical Centre, University of Goettingen, von-Siebold-Strasse 5, 37075, Göttingen, Germany
| | - K R Engel
- Department of Psychiatry and Psychotherapy, University Medical Centre, University of Goettingen, von-Siebold-Strasse 5, 37075, Göttingen, Germany
| | - U Havemann-Reinecke
- Department of Psychiatry and Psychotherapy, University Medical Centre, University of Goettingen, von-Siebold-Strasse 5, 37075, Göttingen, Germany.,Centre of Nanomicroscopy and Molecular Biology of the Brain, CNMPB, Goettingen University Medical Centre, Goettingen, Germany
| | - Dirk Wedekind
- Department of Psychiatry and Psychotherapy, University Medical Centre, University of Goettingen, von-Siebold-Strasse 5, 37075, Göttingen, Germany.
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573
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Xia M, Si T, Sun X, Ma Q, Liu B, Wang L, Meng J, Chang M, Huang X, Chen Z, Tang Y, Xu K, Gong Q, Wang F, Qiu J, Xie P, Li L, He Y. Reproducibility of functional brain alterations in major depressive disorder: Evidence from a multisite resting-state functional MRI study with 1,434 individuals. Neuroimage 2019; 189:700-714. [DOI: 10.1016/j.neuroimage.2019.01.074] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Revised: 01/18/2019] [Accepted: 01/30/2019] [Indexed: 01/14/2023] Open
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574
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Hippocampal subfield-specific connectivity findings in major depressive disorder: A 7 Tesla diffusion MRI study. J Psychiatr Res 2019; 111:186-192. [PMID: 30798080 PMCID: PMC7325444 DOI: 10.1016/j.jpsychires.2019.02.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 02/07/2019] [Accepted: 02/14/2019] [Indexed: 11/23/2022]
Abstract
OBJECTIVE Diffusion magnetic resonance imaging (dMRI) enables non-invasive characterization of white matter (WM) structures in vivo. Prior studies suggest that certain WM tracts may be affected in major depressive disorder (MDD), however, hippocampal subfield-specific dMRI measures have not yet been explored in MDD. We use 7 Tesla dMRI to investigate differences in hippocampal subfield connectivity of MDD patients. METHODS Eighteen MDD patients and eighteen matched healthy volunteers underwent 7 Tesla MRI. The hippocampal formations were segmented by subfields and tractography was performed to determine streamline count (SC), fractional anisotropy (FA), and mean diffusivity (MD) in patients and controls. Significant subfield connectivity measures were also correlated with age at depression onset. RESULTS Compared with controls, MDD patients exhibited reduced SC in the molecular layer of the left dentate gyrus (p < 0.001). SC count in the left dentate gyrus was shown to positively correlate with age at disease onset (p < 0.05). Increased MD was observed in streamlines emanating from both the left (p = 0.0001) and right (p < 0.001) fimbriae in MDD patients. CONCLUSIONS Increased MD of tracts in the fimbriae suggests compromised neuronal membranes in the major hippocampal output gate. Reduced SC of the dentate gyri indexes a disruption of normal cellular processes such as neurogenesis. These findings may have significant implications for identifying biomarkers of MDD and elucidating the neurobiological underpinnings of depression.
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575
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van Hoof MJ, Riem MME, Garrett AS, van der Wee NJA, van IJzendoorn MH, Vermeiren RRJM. Unresolved-disorganized attachment adjusted for a general psychopathology factor associated with atypical amygdala resting-state functional connectivity. Eur J Psychotraumatol 2019; 10:1583525. [PMID: 30891161 PMCID: PMC6419678 DOI: 10.1080/20008198.2019.1583525] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2018] [Revised: 02/04/2019] [Accepted: 02/07/2019] [Indexed: 12/04/2022] Open
Abstract
Background: Recent research has identified a general psychopathology factor (GPF), which explains overlap in presentation of psychopathological symptoms. Unresolved-disorganized attachment (Ud) is another transdiagnostic risk factor that may be relevant to explain differences in patient characteristics within diagnostic classifications. Objective: In the current study, we examined unique relations of resting-state functional connectivity (RSFC) with Ud and GPF. Method: RSFC data were collected from a mixed group of adolescents (N = 74) with and without psychiatric disorder, as part of the Emotional Pathways' Imaging Study in Clinical Adolescents (EPISCA) study. Ud was measured using the Adult Attachment Interview (AAI). Associations between Ud, GPF, and RSFC of the amygdala and dorsal anterior cingulate cortex (dACC) and with amygdala-medial frontal connectivity were examined. Results: Ud was positively associated with greater functional connectivity between the left amygdala and the left lateral occipital cortex, precuneus, and superior parietal lobule. Furthermore, Ud was negatively associated with left amygdala-medial frontal cortex connectivity. GPF was not significantly associated with dACC or amygdala connectivity. Conclusions: Atypical amygdala connectivity may reflect a vulnerability factor rather than a biomarker of psychopathology. The unique association of Ud and amygdala RSFC, adjusted for a GPF, across participants with and without various classifications of psychopathology illustrates that dimensional approaches based on the AAI may complement psychiatric classifications in clinical research and practice.
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Affiliation(s)
- Marie-José van Hoof
- Curium-LUMC, Department of Child and Adolescent, Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition (LIBC), The Netherlands
| | - Madelon M. E. Riem
- Department of Medical and Clinical Psychology, Tilburg University, Tilburg, The Netherlands
| | - Amy S. Garrett
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - Nic J. A. van der Wee
- Leiden Institute for Brain and Cognition (LIBC), The Netherlands
- Department of Psychiatry, Leiden University Medical Center (LUMC), Leiden, The Netherlands
| | - Marinus H. van IJzendoorn
- Department of Psychology, Education and Child Studies, Erasmus University, Rotterdam, The Netherlands
- Primary Care Unit, Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Robert R. J. M Vermeiren
- Curium-LUMC, Department of Child and Adolescent, Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition (LIBC), The Netherlands
- Lucertis-de Jutters, Parnassia Group, The Hague, The Netherlands
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576
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Early intervention for depression in young people: a blind spot in mental health care. Lancet Psychiatry 2019; 6:267-272. [PMID: 30502077 DOI: 10.1016/s2215-0366(18)30292-x] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Revised: 06/06/2018] [Accepted: 07/16/2018] [Indexed: 12/13/2022]
Abstract
Depression is a major contributor to disability across the lifespan. As a disorder that commonly has its onset in adolescence and early adulthood, and high recurrence and persistence, it is a prime candidate for early intervention. Most of the early intervention focus, however, has been confined to indicated prevention efforts. In this Personal View, we argue that early intervention for depression must expand beyond this narrow focus to include young people (aged 12-25 years old) who present with early episodes of full-threshold major depressive disorder. We discuss the development of enhanced primary care services for youth mental health, which allow young people improved access to evidence-based care. We argue that young people with severe and complex depression require particular attention: they are at high risk of lifelong disabling illness and need support to alleviate the early effects of their illnesses on their functional trajectories.
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577
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Klein M, Walters RK, Demontis D, Stein JL, Hibar DP, Adams HH, Bralten J, Roth Mota N, Schachar R, Sonuga-Barke E, Mattheisen M, Neale BM, Thompson PM, Medland SE, Børglum AD, Faraone SV, Arias-Vasquez A, Franke B. Genetic Markers of ADHD-Related Variations in Intracranial Volume. Am J Psychiatry 2019; 176:228-238. [PMID: 30818988 PMCID: PMC7780894 DOI: 10.1176/appi.ajp.2018.18020149] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Attention deficit hyperactivity disorder (ADHD) is a common and highly heritable neurodevelopmental disorder with a complex pathophysiology. Intracranial volume (ICV) and volumes of the nucleus accumbens, amygdala, caudate nucleus, hippocampus, and putamen are smaller in people with ADHD compared with healthy individuals. The authors investigated the overlap between common genetic variation associated with ADHD risk and these brain volume measures to identify underlying biological processes contributing to the disorder. METHODS The authors combined genome-wide association results from the largest available studies of ADHD (N=55,374) and brain volumes (N=11,221-24,704), using a set of complementary methods to investigate overlap at the level of global common variant genetic architecture and at the single variant level. RESULTS Analyses revealed a significant negative genetic correlation between ADHD and ICV (rg=-0.22). Meta-analysis of single variants revealed two significant loci of interest associated with both ADHD risk and ICV; four additional loci were identified for ADHD and volumes of the amygdala, caudate nucleus, and putamen. Exploratory gene-based and gene-set analyses in the ADHD-ICV meta-analytic data showed association with variation in neurite outgrowth-related genes. CONCLUSIONS This is the first genome-wide study to show significant genetic overlap between brain volume measures and ADHD, both on the global and the single variant level. Variants linked to smaller ICV were associated with increased ADHD risk. These findings can help us develop new hypotheses about biological mechanisms by which brain structure alterations may be involved in ADHD disease etiology.
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Affiliation(s)
- Marieke Klein
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Raymond K. Walters
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Ditte Demontis
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Jason L. Stein
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Derrek P. Hibar
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Hieab H. Adams
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Janita Bralten
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Nina Roth Mota
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Russell Schachar
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Edmund Sonuga-Barke
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Manuel Mattheisen
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Benjamin M. Neale
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Paul M. Thompson
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Sarah E. Medland
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Anders D. Børglum
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Stephen V. Faraone
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Alejandro Arias-Vasquez
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
| | - Barbara Franke
- The Department of Human Genetics, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands (Klein, Bralten, Roth Mota, Arias-Vasquez, Franke); University Medical Center Utrecht, UMC Utrecht Brain Center, Department of Psychiatry, Utrecht, the Netherlands (Klein); the Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston (Walters, Neale); Program in Medical and Population
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578
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Norbury R. Chronotype, depression and hippocampal volume: cross-sectional associations from the UK Biobank. Chronobiol Int 2019; 36:709-716. [DOI: 10.1080/07420528.2019.1578229] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Affiliation(s)
- Ray Norbury
- Department of Psychology, University of Roehampton, London, UK
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579
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Hao H, Chen C, Mao W, Zhong J, Dai Z. Aberrant brain regional homogeneity in first-episode drug-naïve patients with major depressive disorder: A voxel-wise meta-analysis. J Affect Disord 2019; 245:63-71. [PMID: 30368072 DOI: 10.1016/j.jad.2018.10.113] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Revised: 08/05/2018] [Accepted: 10/17/2018] [Indexed: 12/18/2022]
Abstract
BACKGROUND Resting-state functional magnetic resonance imaging studies have reported aberrant brain regional homogeneity (ReHo) in patients with major depressive disorder (MDD). However, the findings across studies were confounded by medication status and different depressive episodes. METHODS A systematic literature search of the PubMed, Embase, and Web of Science databases was conducted. We conducted a quantitative voxel-wise meta-analysis of ReHo studies, using the Seed-based d Mapping approach, in first-episode drug-naïve patients with MDD. RESULTS We identified 10 studies with 12 datasets suitable for inclusion, consisting of 402 first-episode drug-naïve patients with MDD and 330 healthy controls. The most consistent and robust findings were that patients with MDD relative to healthy controls exhibited increased ReHo in the left hippocampus and decreased ReHo in the left orbitofrontal cortex. LIMITATIONS The patient samples included in our meta-analysis were all Chinese, thus limiting the applicability of the present findings to other populations. CONCLUSIONS ReHo alterations in these brain regions are likely to reflect the core disease-related functional abnormalities, which are implicated in emotional dysregulation and cognitive impairment that are seen in the early stage of MDD. These findings contribute to a better understanding of the neurobiological underpinnings of MDD, and the left hippocampus and orbitofrontal cortex could serve as specific regions of interest for further investigations.
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Affiliation(s)
- HuiHui Hao
- Department of Inspection and Pharmacy, Jiangsu College of Nursing, Huai'an, PR China; Department of Radiology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, PR China
| | - Chuang Chen
- Department of Hepatopancreatobiliary Surgery, Huai'an Hospital Affiliated to Xuzhou Medical University, Second People's Hospital of Huai'an City, Huai'an, PR China; Department of Radiology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, PR China
| | - WeiBing Mao
- Department of Psychiatry, WuXi Xishan People's Hospital, Affiliated to ZhongDa Hospital, School of Medicine, Southeast University, Wuxi, PR China; Department of Radiology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, PR China
| | - JianGuo Zhong
- Department of Psychiatry, WuXi Xishan People's Hospital, Affiliated to ZhongDa Hospital, School of Medicine, Southeast University, Wuxi, PR China; Department of Radiology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, PR China.
| | - ZhenYu Dai
- Department of Neurology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, PR China; Department of Radiology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, PR China.
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580
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Altered white matter volumes in first-episode depression: Evidence from cross-sectional and longitudinal voxel-based analyses. J Affect Disord 2019; 245:971-977. [PMID: 30699883 DOI: 10.1016/j.jad.2018.11.085] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Revised: 10/17/2018] [Accepted: 11/12/2018] [Indexed: 12/22/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) is accompanied by atypical brain structure affecting grey and white matter from the early stages. Neuroimaging studies of first-episode depression (FED) have provided evidence on this regard, but most of the studies are cross-sectional. The aim of this longitudinal study was to test potential changes in grey matter (GM) and white matter (WM) volumes in FED. METHODS Thirty-three untreated FED patients (DSM-IV criteria) and 33 healthy controls (HC) underwent a 3T structural magnetic resonance imaging (sMRI) at baseline and after 2 years. Depressive symptoms were assessed at baseline and throughout the study with the 17-item Hamilton Depressive Rating Scale (HDRS-17). Recurrences of FED patients were also collected along the follow-up. To analyze GM and WM differences, whole-brain voxel-based morphometry (VBM, SPM12) was employed (FWE corrected). RESULTS FED patients showed significant reductions compared to HC in WM volumes of prefrontal cortex (left anterior corona radiata). No differences were found in GM volumes. Full factorial longitudinal analysis of the whole sample revealed no significant effect in GM nor in WM, while the full factorial longitudinal analysis comparing recurrent and non-recurrent patients showed increments in WM volumes of left posterior corona radiata and right posterior thalamic radiation in the recurrent group. LIMITATIONS Limited sample size, especially in the follow-up. CONCLUSIONS The present findings provided some new evidence of the role of white matter alterations in the early stages of MDD and in the progression of the illness.
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581
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Altered hippocampal function with preserved cognitive performance in treatment-naive major depressive disorder. Neuroreport 2019; 30:46-52. [PMID: 30422941 DOI: 10.1097/wnr.0000000000001163] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
The hippocampus is implicated in the pathophysiology of major depressive disorder (MDD), with evidence that morphological changes occur with disease progression. It was hypothesized that treatment-naive patients with depression would show performance deficits in hippocampus-dependent memory trials, with concurrent hippocampal activation deficits on functional magnetic resonance imaging, compared with control participants. Thirteen treatment-naive patients with MDD and 13 control participants completed a hippocampus-dependent memory functional magnetic resonance imaging process-dissociation task. On behavioural measures of habit memory and guessing, there were no significant differences between groups. Functional magnetic resonance imaging analysis indicated that compared with the control group, the MDD group showed increased activation in the parahippocampal gyrus and hippocampus on habit memory and nonitem trials. These alterations in hippocampal functioning with preserved cognitive performance on a test of hippocampus-dependent memory in MDD may be indicative of a compensatory mechanism.
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582
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Barch DM, Harms MP, Tillman R, Hawkey E, Luby JL. Early childhood depression, emotion regulation, episodic memory, and hippocampal development. JOURNAL OF ABNORMAL PSYCHOLOGY 2019; 128:81-95. [PMID: 30628810 DOI: 10.1037/abn0000392] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Depression in adults is associated with deficits in a number of cognitive domains, however it remains less clear how early in development theses deficits can be detected in early onset depression. There are several different hypotheses about the links between cognitive function and depression. For example, it has been argued that executive function deficits contribute to emotion regulation difficulties, which in turn increase risk for depression. Further, it has been suggested that some cognitive deficits, such as episodic memory, may reflect hippocampal abnormalities linked to both depression and episodic memory. We examined these questions in adolescents participating in a longitudinal study of preschool onset depression. We measured cognitive function at adolescence using the National Institutes of Health toolbox (vocabulary, processing speed, executive function, working memory and episodic memory), and examined relationships of cognitive deficits to depression, emotion regulation, life stress and adversity, as well as hippocampal volume trajectories over three imaging assessments starting at school age. Depression related deficits in episodic memory were found. Youths with either current and past depression showed episodic memory deficits even after controlling for other psychopathology and family income. Depression severity, emotion dysregulation, and life stress/adversity all predicted episodic memory impairment, as did smaller intercepts and slopes of hippocampal growth over time. Modest relationships of depression to hippocampal volume and strong relationships between emotion regulation and both episodic memory and hippocampal volume were found. These data are consistent with prior work in adults linking depression, episodic memory, emotion regulation, life stress/adversity, and hippocampal volume in adults and suggest similar relations are evident as early as adolescence when memory systems are under development. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Affiliation(s)
- Deanna M Barch
- Department of Psychological & Brain Sciences, Washington University
| | | | | | | | - Joan L Luby
- Departments of Psychiatry, Washington University
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583
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Eid RS, Gobinath AR, Galea LAM. Sex differences in depression: Insights from clinical and preclinical studies. Prog Neurobiol 2019; 176:86-102. [PMID: 30721749 DOI: 10.1016/j.pneurobio.2019.01.006] [Citation(s) in RCA: 262] [Impact Index Per Article: 43.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Revised: 12/21/2018] [Accepted: 01/28/2019] [Indexed: 12/22/2022]
Abstract
Depression represents a global mental health concern, and disproportionally affects women as they are twice more likely to be diagnosed than men. In this review, we provide a summary of evidence to support the notion that differences in depression between men and women span multiple facets of the disease, including epidemiology, symptomology, treatment, and pathophysiology. Through a lens of biological sex, we overview depression-related transcriptional patterns, changes in neuroanatomy and neuroplasticity, and immune signatures. We acknowledge the unique physiological and behavioral demands of pregnancy and motherhood by devoting special attention to depression occurring in the peripartum period. Specifically, we discuss issues surrounding the presentation, time course, treatment, and neurobiology of peripartum depression. We write this review with the intention of highlighting the encouraging advancements in our understanding of sex differences in depression, while underscoring the gaps that remain. A more systematic consideration of biological sex as a variable in depression research will be critical in the discovery and development of pharmacotherapies that are efficacious for both men and women.
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Affiliation(s)
- Rand S Eid
- Graduate Program in Neuroscience, University of British Columbia, Vancouver, BC, Canada; Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
| | - Aarthi R Gobinath
- Graduate Program in Neuroscience, University of British Columbia, Vancouver, BC, Canada; Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
| | - Liisa A M Galea
- Graduate Program in Neuroscience, University of British Columbia, Vancouver, BC, Canada; Department of Psychology, University of British Columbia, Vancouver, BC, Canada; Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada.
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584
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Millett CE, Phillips BE, Saunders EF. The Sex-specific Effects of LPS on Depressive-like Behavior and Oxidative Stress in the Hippocampus of the Mouse. Neuroscience 2019; 399:77-88. [DOI: 10.1016/j.neuroscience.2018.12.008] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2018] [Revised: 12/04/2018] [Accepted: 12/05/2018] [Indexed: 01/03/2023]
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585
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Webb LE, Veenhoven R, Harfeld JL, Jensen MB. What is animal happiness? Ann N Y Acad Sci 2019; 1438:62-76. [PMID: 30345570 PMCID: PMC7379717 DOI: 10.1111/nyas.13983] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Revised: 09/17/2018] [Accepted: 09/21/2018] [Indexed: 12/30/2022]
Abstract
Today, we see a growing concern for the quality of life of nonhuman animals and an accompanying call for viable means of assessing how well animals thrive. Past research focused on minimizing negatives such as stress, while more recent endeavors strive to promote positives such as happiness. But what is animal happiness? Although often mentioned, the term lacks a clear definition. With recent advances in the study of animal emotion, current interest into positive rather than negative experiences, and the call for captive and domesticated animals to have good lives, the time is ripe to examine the concept of animal happiness. We draw from the human and animal literature to delineate a concept of animal happiness and propose how to assess it. We argue that animal happiness depends on how an individual feels generally-that is, a typical level of affect.
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Affiliation(s)
- Laura E. Webb
- Animal Production Systems Group, Department of Animal ScienceWageningen University & ResearchWageningenthe Netherlands
| | - Ruut Veenhoven
- Erasmus University RotterdamErasmus Happiness Economics Research Organization (EHERO)Rotterdamthe Netherlands
- Optentia Research ProgramNorth‐West UniversityVanderbijlparkSouth Africa
| | - Jes Lynning Harfeld
- Department of Learning and Philosophy, Centre for Applied PhilosophyAalborg UniversityAalborgDenmark
| | - Margit Bak Jensen
- Department of Animal Science – Behaviour and Stress Biology GroupAarhus UniversityTjeleDenmark
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586
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Alemu JL, Elberling F, Azam B, Pakkenberg B, Olesen MV. Electroconvulsive treatment prevents chronic restraint stress-induced atrophy of the hippocampal formation-A stereological study. Brain Behav 2019; 9:e01195. [PMID: 30656862 PMCID: PMC6379514 DOI: 10.1002/brb3.1195] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Revised: 12/05/2018] [Accepted: 12/09/2018] [Indexed: 01/08/2023] Open
Abstract
INTRODUCTION Electroconvulsive therapy (ECT) is one of the most efficient treatments of major depressive disorder (MDD), although the underlying neurobiology remains poorly understood. There is evidence that ECT and MDD exert opposing effects on the hippocampal formation with respect to volume and number of neurons. However, there has been a paucity of quantitative data in experimental models of ECT and MDD. METHODS Using design-based stereology, we have measured the effects of a stress-induced depression model (chronic restraint stress, CRS) and ECS on the morphology of the hippocampus by estimating the volume and total number of neurons in the hilus, CA1, and CA2/3, as well as in the entire hippocampus. RESULTS We find that CRS induces a significant decrease in volume exclusively of the hilus and that ECS (CRS + ECS) blocks this reduction. Furthermore, ECS alone does not change the volume or total number of neurons in the entire hippocampus or any hippocampal subdivision in our rat model.
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Affiliation(s)
- Johanne L Alemu
- Research Laboratory for Stereology and Neuroscience, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Frederik Elberling
- Research Laboratory for Stereology and Neuroscience, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark.,Department of Biotechnology and Biomedicine, Disease System Immunology, DTU Bioengineering, Kongens Lyngby, Denmark
| | - Bushra Azam
- Research Laboratory for Stereology and Neuroscience, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Bente Pakkenberg
- Research Laboratory for Stereology and Neuroscience, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark.,Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mikkel V Olesen
- Research Laboratory for Stereology and Neuroscience, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
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587
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Bahall M. Prevalence and associations of depression among patients with cardiac diseases in a public health institute in Trinidad and Tobago. BMC Psychiatry 2019; 19:4. [PMID: 30616551 PMCID: PMC6323684 DOI: 10.1186/s12888-018-1977-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Accepted: 12/07/2018] [Indexed: 03/06/2023] Open
Abstract
BACKGROUND Psychosocial issues are major determinants as well as consequences of cardiovascular disease (CVD). This study sought to assess the prevalence and identify factors associated with depression among patients with cardiac disease in a public health institute in Trinidad and Tobago. METHODS A cross-sectional study was conducted with a convenience sample of 388 hospitalised, stable, adult patients with cardiac disease admitted in the only tertiary public health institute in South Trinidad. Patients were identified and interviewed 3 to 5 days after admission using a questionnaire comprising questions on demographic, medical, and lifestyle issues and the 9-item Patient Health Questionnaire (PHQ-9). RESULTS The prevalence of clinically significant depression (PHQ-9 > 9) among hospitalised patients with cardiac disease was 40.0%. However, the prevalence of non-minimal depression (PHQ-9 ≥ 5) in this study was 78.4%. It was greater among women (83.1%) than among men (72.9%). Non-minimal depression was associated with sex (p = 0.015), employment status (p = 0.007), hypertension (p = 0.017), stressful life (p ≤ 0.001), feelings of depression (p ≤ 0.001), regular exercise (p ≤ 0.001), and living alone (p = 0.006). Age, ethnicity, education level, income, or religious affiliations were not associated (p > 0.05) with depression. Participants diagnosed with depression commonly reported feeling tired (81.2%), having trouble sleeping (74.7%), and moving/speaking slowly (73.5%). Patients with self-claimed depression (past or current) were four times more likely to have depression and those with self-reported stress and loneliness were twice as likely to have depression. Employed patients and those who exercised regularly were approximately 50% less likely to have depression. CONCLUSIONS Clinical depression prevalence among hospitalised patients with cardiac disease was 40.0%. Approximately twice as many (78.4%) had non-minimal depression, with higher prevalence among women. Employment, sex, hypertension, stressful life, feelings of depression, regular exercise, and living alone were associated with non-minimal depression. Patients with self-claimed depression, stress, and those living alone had a much higher likelihood of having depression, while those who were employed and exercised regularly were approximately half as likely to have depression.
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Affiliation(s)
- Mandreker Bahall
- School of Medicine and Arthur Lok Jack Graduate School of Business, University of the West Indies, St. Augustine, House #57 LP 62, Calcutta Road Number 3, McBean, Couva Trinidad, Trinidad and Tobago.
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588
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Abdallah CG, Averill LA, Akiki TJ, Raza M, Averill CL, Gomaa H, Adikey A, Krystal JH. The Neurobiology and Pharmacotherapy of Posttraumatic Stress Disorder. Annu Rev Pharmacol Toxicol 2019; 59:171-189. [PMID: 30216745 PMCID: PMC6326888 DOI: 10.1146/annurev-pharmtox-010818-021701] [Citation(s) in RCA: 94] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
New approaches to the neurobiology of posttraumatic stress disorder (PTSD) are needed to address the reported crisis in PTSD drug development. These new approaches may require the field to move beyond a narrow fear-based perspective, as fear-based medications have not yet demonstrated compelling efficacy. Antidepressants, particularly recent rapid-acting antidepressants, exert complex effects on brain function and structure that build on novel aspects of the biology of PTSD, including a role for stress-related synaptic dysconnectivity in the neurobiology and treatment of PTSD. Here, we integrate this perspective within a broader framework-in other words, a dual pathology model of ( a) stress-related synaptic loss arising from amino acid-based pathology and ( b) stress-related synaptic gain related to monoamine-based pathology. Then, we summarize the standard and experimental (e.g., ketamine) pharmacotherapeutic options for PTSD and discuss their putative mechanism of action and clinical efficacy.
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Affiliation(s)
- Chadi G Abdallah
- Clinical Neuroscience Division, Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut 06516, USA;
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06511, USA
| | - Lynnette A Averill
- Clinical Neuroscience Division, Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut 06516, USA;
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06511, USA
| | - Teddy J Akiki
- Clinical Neuroscience Division, Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut 06516, USA;
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06511, USA
| | - Mohsin Raza
- Clinical Neuroscience Division, Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut 06516, USA;
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06511, USA
| | - Christopher L Averill
- Clinical Neuroscience Division, Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut 06516, USA;
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06511, USA
| | - Hassaan Gomaa
- Clinical Neuroscience Division, Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut 06516, USA;
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06511, USA
| | - Archana Adikey
- Clinical Neuroscience Division, Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut 06516, USA;
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06511, USA
| | - John H Krystal
- Clinical Neuroscience Division, Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut 06516, USA;
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06511, USA
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589
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Schindler S, Schmidt L, Stroske M, Storch M, Anwander A, Trampel R, Strauß M, Hegerl U, Geyer S, Schönknecht P. Hypothalamus enlargement in mood disorders. Acta Psychiatr Scand 2019; 139:56-67. [PMID: 30229855 DOI: 10.1111/acps.12958] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/15/2018] [Indexed: 12/24/2022]
Abstract
OBJECTIVE The purpose of this study was to determine, in vivo, whether the hypothalamus volume is reduced in patients with mood disorders. METHODS The cross-sectional study included 20 unmedicated (MDDu) and 20 medicated patients with major depressive disorder, 21 patients with bipolar disorder, and 23 controls. Twenty of the controls were matched to the MDDu. Seven Tesla, T1-weighted magnetic resonance images were acquired and processed using methods specifically developed for high-precision volumetry of the hypothalamus. RESULTS An overall group difference was observed for the left hypothalamus volume corrected for intracranial volume. Planned contrasts identified that the left hypothalamus was approximately 5% larger in each patient group compared with the control group. A paired t-test with the 20 matched pairs of MDDu and controls and without correction for covariates confirmed the larger left hypothalamus volume in MDDu. CONCLUSIONS Contrary to our expectations, the hypothalamus volume was increased in patients with uni- and bipolar affective disorders. The effect was left-sided and independent of medication status or statistical correction for covariates. Supported by emerging evidence that the stress response may be related to structural and functional asymmetry in the brain, our finding suggests a crucial role of the hypothalamus in mood disorders.
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Affiliation(s)
- S Schindler
- Department of Psychiatry and Psychotherapy, University Hospital Leipzig, Leipzig, Germany.,Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - L Schmidt
- Department of Psychiatry and Psychotherapy, University Hospital Leipzig, Leipzig, Germany
| | - M Stroske
- Department of Psychiatry and Psychotherapy, University Hospital Leipzig, Leipzig, Germany
| | - M Storch
- Department of Psychiatry and Psychotherapy, University Hospital Leipzig, Leipzig, Germany
| | - A Anwander
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - R Trampel
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - M Strauß
- Department of Psychiatry and Psychotherapy, University Hospital Leipzig, Leipzig, Germany
| | - U Hegerl
- Department of Psychiatry and Psychotherapy, University Hospital Leipzig, Leipzig, Germany
| | - S Geyer
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - P Schönknecht
- Out-patient Department for Sexual-therapeutic Prevention and Forensic Psychiatry, Leipzig, Germany.,Academic State Hospital Arnsdorf, Arnsdorf, Germany
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590
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Ancelin ML, Carrière I, Artero S, Maller J, Meslin C, Ritchie K, Ryan J, Chaudieu I. Lifetime major depression and grey-matter volume. J Psychiatry Neurosci 2019; 44:45-53. [PMID: 30565905 PMCID: PMC6306287 DOI: 10.1503/jpn.180026] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND There is evidence of structural brain alterations in major depressive disorder (MDD), but little is known about how these alterations might be affected by age at onset or genetic vulnerability. This study examines whether lifetime episodes of MDD are associated with specific alterations in grey-matter volume, and whether those alterations vary according to sex or serotonin transporter-linked promoter region (5-HTTLPR) genotype (LL, SL or SS). METHODS We used structural MRI to acquire anatomic scans from 610 community-dwelling participants. We derived quantitative regional estimates of grey-matter volume in 16 subregions using FreeSurfer software. We diagnosed MDD according to DSM-IV criteria. We adjusted analyses for age, sex, total brain volume, education level, head injury and comorbidities. RESULTS Lifetime MDD was associated with a smaller insula, thalamus, ventral diencephalon, pallidum and nucleus accumbens and with a larger pericalcarine region in both men and women. These associations remained after adjustment for false discovery rate. Lifetime MDD was also associated with a smaller caudate nucleus and amygdala in men and with a larger rostral anterior cingulate cortex in women. Late-onset first episodes of MDD (after age 50 years) were associated with a larger rostral anterior cingulate cortex and lingual and pericalcarine regions; early-onset MDD was associated with a smaller ventral diencephalon and nucleus accumbens. Some associations differed according to 5-HTTLPR genotype: the thalamus was smaller in participants with MDD and the LL genotype; pericalcarine and lingual volumes were higher in those with the SL genotype. LIMITATIONS This study was limited by its cross-sectional design. CONCLUSION Major depressive disorder was associated with persistent volume reductions in the deep nuclei and insula and with enlargements in visual cortex subregions; alterations varied according to age of onset and genotype.
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Affiliation(s)
- Marie-Laure Ancelin
- From INSERM, Univ Montpellier, Neuropsychiatry: Epidemiological and Clinical Research, Montpellier, France (Ancelin, Carrière, Artero, Ritchie, Ryan, Chaudieu); Monash Alfred Psychiatry Research Centre, Central Clinical School, Monash University and Alfred Hospital, Australia (Maller); Centre for Mental Health Research, Australian National University, Canberra, Australia (Maller, Meslin); General Electric Healthcare, Australia (Maller); Center for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom (Ritchie); and Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia (Ryan)
| | - Isabelle Carrière
- From INSERM, Univ Montpellier, Neuropsychiatry: Epidemiological and Clinical Research, Montpellier, France (Ancelin, Carrière, Artero, Ritchie, Ryan, Chaudieu); Monash Alfred Psychiatry Research Centre, Central Clinical School, Monash University and Alfred Hospital, Australia (Maller); Centre for Mental Health Research, Australian National University, Canberra, Australia (Maller, Meslin); General Electric Healthcare, Australia (Maller); Center for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom (Ritchie); and Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia (Ryan)
| | - Sylvaine Artero
- From INSERM, Univ Montpellier, Neuropsychiatry: Epidemiological and Clinical Research, Montpellier, France (Ancelin, Carrière, Artero, Ritchie, Ryan, Chaudieu); Monash Alfred Psychiatry Research Centre, Central Clinical School, Monash University and Alfred Hospital, Australia (Maller); Centre for Mental Health Research, Australian National University, Canberra, Australia (Maller, Meslin); General Electric Healthcare, Australia (Maller); Center for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom (Ritchie); and Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia (Ryan)
| | - Jerome Maller
- From INSERM, Univ Montpellier, Neuropsychiatry: Epidemiological and Clinical Research, Montpellier, France (Ancelin, Carrière, Artero, Ritchie, Ryan, Chaudieu); Monash Alfred Psychiatry Research Centre, Central Clinical School, Monash University and Alfred Hospital, Australia (Maller); Centre for Mental Health Research, Australian National University, Canberra, Australia (Maller, Meslin); General Electric Healthcare, Australia (Maller); Center for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom (Ritchie); and Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia (Ryan)
| | - Chantal Meslin
- From INSERM, Univ Montpellier, Neuropsychiatry: Epidemiological and Clinical Research, Montpellier, France (Ancelin, Carrière, Artero, Ritchie, Ryan, Chaudieu); Monash Alfred Psychiatry Research Centre, Central Clinical School, Monash University and Alfred Hospital, Australia (Maller); Centre for Mental Health Research, Australian National University, Canberra, Australia (Maller, Meslin); General Electric Healthcare, Australia (Maller); Center for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom (Ritchie); and Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia (Ryan)
| | - Karen Ritchie
- From INSERM, Univ Montpellier, Neuropsychiatry: Epidemiological and Clinical Research, Montpellier, France (Ancelin, Carrière, Artero, Ritchie, Ryan, Chaudieu); Monash Alfred Psychiatry Research Centre, Central Clinical School, Monash University and Alfred Hospital, Australia (Maller); Centre for Mental Health Research, Australian National University, Canberra, Australia (Maller, Meslin); General Electric Healthcare, Australia (Maller); Center for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom (Ritchie); and Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia (Ryan)
| | - Joanne Ryan
- From INSERM, Univ Montpellier, Neuropsychiatry: Epidemiological and Clinical Research, Montpellier, France (Ancelin, Carrière, Artero, Ritchie, Ryan, Chaudieu); Monash Alfred Psychiatry Research Centre, Central Clinical School, Monash University and Alfred Hospital, Australia (Maller); Centre for Mental Health Research, Australian National University, Canberra, Australia (Maller, Meslin); General Electric Healthcare, Australia (Maller); Center for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom (Ritchie); and Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia (Ryan)
| | - Isabelle Chaudieu
- From INSERM, Univ Montpellier, Neuropsychiatry: Epidemiological and Clinical Research, Montpellier, France (Ancelin, Carrière, Artero, Ritchie, Ryan, Chaudieu); Monash Alfred Psychiatry Research Centre, Central Clinical School, Monash University and Alfred Hospital, Australia (Maller); Centre for Mental Health Research, Australian National University, Canberra, Australia (Maller, Meslin); General Electric Healthcare, Australia (Maller); Center for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom (Ritchie); and Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia (Ryan)
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591
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Brain age and other bodily 'ages': implications for neuropsychiatry. Mol Psychiatry 2019; 24:266-281. [PMID: 29892055 PMCID: PMC6344374 DOI: 10.1038/s41380-018-0098-1] [Citation(s) in RCA: 264] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Revised: 04/13/2018] [Accepted: 04/23/2018] [Indexed: 01/07/2023]
Abstract
As our brains age, we tend to experience cognitive decline and are at greater risk of neurodegenerative disease and dementia. Symptoms of chronic neuropsychiatric diseases are also exacerbated during ageing. However, the ageing process does not affect people uniformly; nor, in fact, does the ageing process appear to be uniform even within an individual. Here, we outline recent neuroimaging research into brain ageing and the use of other bodily ageing biomarkers, including telomere length, the epigenetic clock, and grip strength. Some of these techniques, using statistical approaches, have the ability to predict chronological age in healthy people. Moreover, they are now being applied to neurological and psychiatric disease groups to provide insights into how these diseases interact with the ageing process and to deliver individualised predictions about future brain and body health. We discuss the importance of integrating different types of biological measurements, from both the brain and the rest of the body, to build more comprehensive models of the biological ageing process. Finally, we propose seven steps for the field of brain-ageing research to take in coming years. This will help us reach the long-term goal of developing clinically applicable statistical models of biological processes to measure, track and predict brain and body health in ageing and disease.
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592
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Nandam LS, Brazel M, Zhou M, Jhaveri DJ. Cortisol and Major Depressive Disorder-Translating Findings From Humans to Animal Models and Back. Front Psychiatry 2019; 10:974. [PMID: 32038323 PMCID: PMC6987444 DOI: 10.3389/fpsyt.2019.00974] [Citation(s) in RCA: 151] [Impact Index Per Article: 25.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Accepted: 12/09/2019] [Indexed: 12/15/2022] Open
Abstract
Major depressive disorder (MDD) is a global problem for which current pharmacotherapies are not completely effective. Hypothalamic-pituitary-adrenal (HPA) axis dysfunction has long been associated with MDD; however, the value of assessing cortisol as a biological benchmark of the pathophysiology or treatment of MDD is still debated. In this review, we critically evaluate the relationship between HPA axis dysfunction and cortisol level in relation to MDD subtype, stress, gender and treatment regime, as well as in rodent models. We find that an elevated cortisol response to stress is associated with acute and severe, but not mild or atypical, forms of MDD. Furthermore, the increased incidence of MDD in females is associated with greater cortisol response variability rather than higher baseline levels of cortisol. Despite almost all current MDD treatments influencing cortisol levels, we could find no convincing relationship between cortisol level and therapeutic response in either a clinical or preclinical setting. Thus, we argue that the absolute level of cortisol is unreliable for predicting the efficacy of antidepressant treatment. We propose that future preclinical models should reliably produce exaggerated HPA axis responses to acute or chronic stress a priori, which may, or may not, alter baseline cortisol levels, while also modelling the core symptoms of MDD that can be targeted for reversal. Combining genetic and environmental risk factors in such a model, together with the interrogation of the resultant molecular, cellular, and behavioral changes, promises a new mechanistic understanding of MDD and focused therapeutic strategies.
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Affiliation(s)
- L. Sanjay Nandam
- Mental Health Unit, Prince Charles Hospital, Brisbane, QLD, Australia
- *Correspondence: L. Sanjay Nandam, ; Dhanisha J. Jhaveri,
| | - Matthew Brazel
- Mental Health Unit, Prince Charles Hospital, Brisbane, QLD, Australia
- Department of Psychiatry, Royal Hobart Hospital, Hobart, TAS, Australia
| | - Mei Zhou
- Mater Research Institute, The University of Queensland, Brisbane, QLD, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Dhanisha J. Jhaveri
- Mater Research Institute, The University of Queensland, Brisbane, QLD, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- *Correspondence: L. Sanjay Nandam, ; Dhanisha J. Jhaveri,
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593
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Zhu DM, Zhao W, Zhang B, Zhang Y, Yang Y, Zhang C, Wang Y, Zhu J, Yu Y. The Relationship Between Serum Concentration of Vitamin D, Total Intracranial Volume, and Severity of Depressive Symptoms in Patients With Major Depressive Disorder. Front Psychiatry 2019; 10:322. [PMID: 31143135 PMCID: PMC6520644 DOI: 10.3389/fpsyt.2019.00322] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 04/26/2019] [Indexed: 01/07/2023] Open
Abstract
Background: Depression has been linked to vitamin D deficiency. However, little attention was paid to the neural substrate underlying this association. Methods: Fifty patients with major depressive disorder (MDD) were enrolled in this study. High-resolution structural magnetic resonance imaging was performed to calculate total intracranial volume (TIV). Peripheral venous blood samples were collected to measure serum vitamin D concentration. Hamilton Rating Scale for Depression (HAMD) was used to assess severity of depression symptoms. The relationship among TIV, serum vitamin D concentration, and HAMD score was examined using correlation, linear regression, and mediation analyses. Results: In patients with MDD, HAMD score was negatively correlated with TIV and serum vitamin D concentration, and TIV was positively correlated with serum vitamin D concentration. Linear regression analyses showed that TIV and serum vitamin D concentration were significant predictors of HAMD score. Importantly, mediation analysis revealed that TIV significantly mediated the relationship between serum vitamin D concentration and HAMD score. Conclusion: Our findings suggest that TIV may serve as a potential neural biomarker for monitoring responses to adjuvant therapy of vitamin D in patients with MDD.
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Affiliation(s)
- Dao-Min Zhu
- Department of Sleep Disorders, Hefei Fourth People's Hospital, Hefei, China.,Anhui Mental Health Center, Hefei, China
| | - Wenming Zhao
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Biao Zhang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yu Zhang
- Department of Sleep Disorders, Hefei Fourth People's Hospital, Hefei, China.,Anhui Mental Health Center, Hefei, China
| | - Ying Yang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Cun Zhang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yajun Wang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Jiajia Zhu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
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594
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Chakrabarty B, Sud K, Goyal S. Hippocampal volume alteration in medication-naive depression patients in comparison to healthy individuals: An Indian perspective. JOURNAL OF MARINE MEDICAL SOCIETY 2019. [DOI: 10.4103/jmms.jmms_19_19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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595
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Tolomeo S, Davey F, Steele JD, Baldacchino AM. Effects of Opioid Dependence on Visuospatial Memory and Its Associations With Depression and Anxiety. Front Psychiatry 2019; 10:743. [PMID: 31708811 PMCID: PMC6820290 DOI: 10.3389/fpsyt.2019.00743] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 09/16/2019] [Indexed: 01/12/2023] Open
Abstract
Introduction: The cognitive impact of opioid dependence is rarely measured systematically in everyday clinical practice even though both patients and clinicians accept that cognitive symptoms often occur in the opioid-dependent population. There are only a few publications which utilized computerized neuropsychological tests to assess possible impairments of visuospatial memory in opioid-dependent individuals either receiving opioid replacement therapy (ORT) or during subsequent short-term abstinence and the effects of anxiety and depression. Methods: We assessed a cohort of 102 participants, comprising i) a stable opioid-dependent group receiving methadone maintenance treatment (MMT) (n = 22), ii) a stable opioid-dependent group receiving buprenorphine (BMT) (n = 20), iii) a current abstinent but previously opioid-dependent group (ABS) (n = 8), and iv) a control group who have never been dependent on opioids. The Cambridge Neuropsychological Automated Test Battery (CANTAB) neuropsychological tasks undertaken by participants included: Delayed Matching to Sample (DMS), Pattern Recognition Memory (PRM), Spatial Recognition Memory (SRM), and Paired Associate Learning (PAL) tasks. Three clinical measures were used to assess the severity of anxiety and depressive illness: Hospital Anxiety Scale-Hospital Anxiety Depression (HADA)-(HADD), Beck Depression Inventory (BDI), and Inventory of Depressive Symptomatology (self-report) (ISD-SR). Results: The methadone- and buprenorphine-treated groups showed significant impairments (p < 0.001) in visuospatial memory tasks but not the abstinent group. Impairments in visuospatial memory strongly correlated with higher mood and anxiety symptom severity scores (p < 0.001). Discussion: These results are broadly consistent with previous studies. Uniquely, though, here we report a strong relationship between visuospatial memory and depression and anxiety scores, which might suggest common illness mechanisms.
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Affiliation(s)
- Serenella Tolomeo
- Department of Psychology, National University of Singapore, Singapore, Singapore.,Centre for Family and Population Research, National University of Singapore, Singapore, Singapore
| | - Fleur Davey
- NHS Fife, Queen Margaret Hospital, Dunfermline, United Kingdom
| | - J Douglas Steele
- School of Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, United Kingdom
| | - Alexander Mario Baldacchino
- School of Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, United Kingdom.,Division of Population and Behavioural Science, Medical School, University of St Andrews, St Andrews, United Kingdom
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596
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Peng D, Yao Z. Neuroimaging Advance in Depressive Disorder. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1180:59-83. [DOI: 10.1007/978-981-32-9271-0_3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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597
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Jiang W, King TZ, Turner JA. Imaging Genetics Towards a Refined Diagnosis of Schizophrenia. Front Psychiatry 2019; 10:494. [PMID: 31354550 PMCID: PMC6639711 DOI: 10.3389/fpsyt.2019.00494] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Accepted: 06/24/2019] [Indexed: 01/31/2023] Open
Abstract
Current diagnoses of schizophrenia and related psychiatric disorders are classified by phenomenological principles and clinical descriptions while ruling out other symptoms and conditions. Specific biomarkers are needed to assist the current diagnostic system. However, complicated gene and environment interactions induce great disease heterogeneity. This unclear etiology and heterogeneity raise difficulties in distinguishing schizophrenia-related effects. Simultaneously, the overlap in symptoms, genetic variations, and brain alterations in schizophrenia and related psychiatric disorders raises similar difficulties in determining disease-specific effects. Imaging genetics is a unique methodology to assess the impact of genetic factors on both brain structure and function. More importantly, imaging genetics builds a bridge to understand the behavioral and clinical implications of genetics and neuroimaging. By characterizing and quantifying the brain measures affected in psychiatric disorders, imaging genetics is contributing to identifying potential biomarkers for schizophrenia and related disorders. To date, candidate gene analysis, genome-wide association studies, polygenetic risk score analysis, and large-scale collaborative studies have made contributions to the understanding of schizophrenia with the potential to serve as biomarkers. Despite limitations, imaging genetics remains promising as more aggregative, clustering methods and imaging genetics-compatible clinical assessments are employed in future studies. We review imaging genetics' contribution to our understanding of the heterogeneity within schizophrenia and the commonalities across schizophrenia and other diagnostic borders, and we will discuss whether imaging genetics is ready to form its own diagnostic system.
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Affiliation(s)
- Wenhao Jiang
- Department of Psychology and the Neuroscience Institute, Georgia State University, Atlanta, GA, United States
| | - Tricia Z King
- Department of Psychology and the Neuroscience Institute, Georgia State University, Atlanta, GA, United States
| | - Jessica A Turner
- Department of Psychology and the Neuroscience Institute, Georgia State University, Atlanta, GA, United States.,Mind Research Network, Albuquerque, NM, United States
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598
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Kaczkurkin AN, Raznahan A, Satterthwaite TD. Sex differences in the developing brain: insights from multimodal neuroimaging. Neuropsychopharmacology 2019; 44:71-85. [PMID: 29930385 PMCID: PMC6235840 DOI: 10.1038/s41386-018-0111-z] [Citation(s) in RCA: 247] [Impact Index Per Article: 41.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Revised: 05/21/2018] [Accepted: 05/23/2018] [Indexed: 12/20/2022]
Abstract
Youth (including both childhood and adolescence) is a period when the brain undergoes dramatic remodeling and is also a time when neuropsychiatric conditions often emerge. Many of these illnesses have substantial sex differences in prevalence, suggesting that sex differences in brain development may underlie differential risk for psychiatric symptoms between males and females. Substantial evidence documents sex differences in brain structure and function in adults, and accumulating data suggests that these sex differences may be present or emerge during development. Here we review the evidence for sex differences in brain structure, white matter organization, and perfusion during development. We then use these normative differences as a framework to understand sex differences in brain development associated with psychopathology. In particular, we focus on sex differences in the brain as they relate to anxiety, depression, psychosis, and attention-deficit/hyperactivity symptoms. Finally, we highlight existing limitations, gaps in knowledge, and fertile avenues for future research.
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Affiliation(s)
- Antonia N Kaczkurkin
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Armin Raznahan
- Developmental Neurogenomics Unit, National Institute of Mental Health, Bethesda, MD, 20814, USA
| | - Theodore D Satterthwaite
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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599
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Kovács Z, D'Agostino DP, Diamond D, Kindy MS, Rogers C, Ari C. Therapeutic Potential of Exogenous Ketone Supplement Induced Ketosis in the Treatment of Psychiatric Disorders: Review of Current Literature. Front Psychiatry 2019; 10:363. [PMID: 31178772 PMCID: PMC6543248 DOI: 10.3389/fpsyt.2019.00363] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 05/10/2019] [Indexed: 12/16/2022] Open
Abstract
Globally, psychiatric disorders, such as anxiety disorder, bipolar disorder, schizophrenia, depression, autism spectrum disorder, and attention-deficit/hyperactivity disorder (ADHD) are becoming more prevalent. Although the exact pathological alterations are not yet clear, recent studies have demonstrated that widespread changes of very complex metabolic pathways may partially underlie the pathophysiology of many psychiatric diseases. Thus, more attention should be directed to metabolic-based therapeutic interventions in the treatment of psychiatric disorders. Emerging evidence from numerous studies suggests that administration of exogenous ketone supplements, such as ketone salts or ketone esters, generates rapid and sustained nutritional ketosis and metabolic changes, which may evoke potential therapeutic effects in cases of central nervous system (CNS) disorders, including psychiatric diseases. Therefore, the aim of this review is to summarize the current information on ketone supplementation as a potential therapeutic tool for psychiatric disorders. Ketone supplementation elevates blood levels of the ketone bodies: D-β-hydroxybutyrate (βHB), acetoacetate (AcAc), and acetone. These compounds, either directly or indirectly, beneficially affect the mitochondria, glycolysis, neurotransmitter levels, activity of free fatty acid receptor 3 (FFAR3), hydroxycarboxylic acid receptor 2 (HCAR2), and histone deacetylase, as well as functioning of NOD-like receptor pyrin domain 3 (NLRP3) inflammasome and mitochondrial uncoupling protein (UCP) expression. The result of downstream cellular and molecular changes is a reduction in the pathophysiology associated with various psychiatric disorders. We conclude that supplement-induced nutritional ketosis leads to metabolic changes and improvements, for example, in mitochondrial function and inflammatory processes, and suggest that development of specific adjunctive ketogenic protocols for psychiatric diseases should be actively pursued.
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Affiliation(s)
- Zsolt Kovács
- Savaria Department of Biology, ELTE Eötvös Loránd University, Savaria University Centre, Szombathely, Hungary
| | - Dominic P D'Agostino
- Department of Molecular Pharmacology and Physiology, Laboratory of Metabolic Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, United States.,Institute for Human and Machine Cognition, Ocala, FL, United States
| | - David Diamond
- Department of Molecular Pharmacology and Physiology, Laboratory of Metabolic Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, United States.,Department of Psychology, Hyperbaric Neuroscience Research Laboratory, University of South Florida, Tampa, FL, United States
| | - Mark S Kindy
- Department of Pharmaceutical Sciences, College of Pharmacy, University of South Florida, Tampa, FL, United States.,James A. Haley VA Medical Center, Tampa, FL, United States.,Shriners Hospital for Children, Tampa, FL, United States
| | - Christopher Rogers
- Department of Molecular Pharmacology and Physiology, Laboratory of Metabolic Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, United States
| | - Csilla Ari
- Department of Psychology, Hyperbaric Neuroscience Research Laboratory, University of South Florida, Tampa, FL, United States
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600
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Li M, Yue W. VRK2, a Candidate Gene for Psychiatric and Neurological Disorders. MOLECULAR NEUROPSYCHIATRY 2018; 4:119-133. [PMID: 30643786 PMCID: PMC6323383 DOI: 10.1159/000493941] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Accepted: 09/20/2018] [Indexed: 12/20/2022]
Abstract
Recent large-scale genetic approaches, such as genome-wide association studies, have identified multiple genetic variations that contribute to the risk of mental illnesses, among which single nucleotide polymorphisms (SNPs) within or near the vaccinia related kinase 2 (VRK2) gene have gained consistent support for their correlations with multiple psychiatric and neurological disorders including schizophrenia (SCZ), major depressive disorder (MDD), and genetic generalized epilepsy. For instance, the genetic variant rs1518395 in VRK2 showed genome-wide significant associations with SCZ (35,476 cases and 46,839 controls, p = 3.43 × 10-8) and MDD (130,620 cases and 347,620 controls, p = 4.32 × 10-12) in European populations. This SNP was also genome-wide significantly associated with SCZ in Han Chinese population (12,083 cases and 24,097 controls, p = 3.78 × 10-13), and all associations were in the same direction of allelic effects. These studies highlight the potential roles of VRK2 in the central nervous system, and this gene therefore might be a good candidate to investigate the shared genetic and molecular basis between SCZ and MDD, as it is one of the few genes known to show genome-wide significant associations with both illnesses. Furthermore, the VRK2 gene was found to be involved in multiple other congenital deficits related to the malfunction of neurodevelopment, adding further support for the involvement of this gene in the pathogenesis of these neurological and psychiatric illnesses. While the precise function of VRK2 in these conditions remains unclear, preliminary evidence suggests that it may affect neuronal proliferation and migration via interacting with multiple essential signaling pathways involving other susceptibility genes/proteins for psychiatric disorders. Here, we have reviewed the recent progress of genetic and molecular studies of VRK2, with an emphasis on its role in psychiatric illnesses and neurological functions. We believe that attention to this important gene is necessary, and further investigations of VRK2 may provide hints into the underlying mechanisms of SCZ and MDD.
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Affiliation(s)
- Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Weihua Yue
- Peking University Sixth Hospital/Institute of Mental Health, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health (Peking University) and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
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