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Duan X, Zhang Y, Li W, Su N, Sun L. Neutrophil activation and related disrupted frontolimbic circuit may contribute to cognitive progression of minimal depressive symptoms in non-dementia elderly. J Affect Disord 2024; 367:845-853. [PMID: 39236895 DOI: 10.1016/j.jad.2024.08.204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 06/29/2024] [Accepted: 08/29/2024] [Indexed: 09/07/2024]
Abstract
BACKGROUND As a more common but easily neglected disorder, minimal depressive symptoms (MDS), it is unclear whether and why it increases the risk of cognitive progression in non-dementia elderly. METHODS The Alzheimer's disease Neuroimaging Initiative (ADNI) database was used to assign 1065 non-dementia elderly into normal control (n = 380) and MDS (n = 685) groups via the Geriatric Depression Scale (GDS). Blood neutrophils, transcriptomics and metabolomics, cerebrospinal fluid (CSF) proteomics, and magnetic resonance imaging (MRI) data were analyzed. RESULTS MDS was found to increase the risk of cognitive progression independently of multiple psychological symptoms. Increased levels of blood neutrophils were associated with cognitive progression in MDS, as supported by neutrophil-related pathways by transcriptomic enrichment analysis and multi-omics joint analysis. A disrupted frontolimbic circuit was associated with neutrophil activation in MDS. LIMITATIONS The heterogeneity of the sample limited the generalizability of results, and the lack of follow-up data limited the research on the mechanism of neutrophil activation influencing cognitive function in MDS. CONCLUSIONS Cognitive progression occurs as early as the MDS stage. And this phenomenon may attribute to the neutrophil activation and the related disrupted frontolimbic circuit.
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Affiliation(s)
- Xiaole Duan
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yingjie Zhang
- Tsinghua University School of Medicine, Beijing, China
| | - Wei Li
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ning Su
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lin Sun
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Machaj W, Podgórski P, Maciaszek J, Piotrowski P, Szcześniak D, Korbecki A, Rymaszewska J, Zimny A. Evaluation of Intra- and Inter-Network Connectivity within Major Brain Networks in Drug-Resistant Depression Using rs-fMRI. J Clin Med 2024; 13:5507. [PMID: 39336994 PMCID: PMC11431996 DOI: 10.3390/jcm13185507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2024] [Revised: 09/13/2024] [Accepted: 09/16/2024] [Indexed: 09/30/2024] Open
Abstract
Background: Major Depressive Disorder (MDD) is a significant challenge in modern medicine due to its unclear underlying causes. Brain network dysfunction is believed to play a key role in its pathophysiology. Resting-state functional MRI (rs-fMRI), a neuroimaging technique, enables the in vivo assessment of functional connectivity (FC) between brain regions, offering insights into these network dysfunctions. The aim of this study was to evaluate abnormalities in FC within major brain networks in patients with drug-resistant MDD. Methods: The study group consisted of 26 patients with drug-resistant MDD and an age-matched control group (CG) of 26 healthy subjects. The rs-fMRI studies were performed on a 3T MR scanner (Philips, Ingenia) using a 32-channel head and neck coil. Imaging data were statistically analyzed, focusing on the intra- and inter-network FC of the following networks: default mode (DMN), sensorimotor (SMN), visual (VN), salience (SN), cerebellar (CN), dorsal attention (DAN), language (LN), and frontoparietal (FPN). Results: In patients with MDD, the intra-network analysis showed significantly decreased FC between nodes within VN compared to CG. In contrast, the inter-network analysis showed significantly increased FC between nodes from VN and SN or VN and DAN compared to CG. Decreased FC was found between SN and CN or SN and FPN as well as VN and DAN nodes compared to CG. Conclusions: Patients with MDD showed significant abnormalities in resting-state cortical activity, mainly regarding inter-network functional connectivity. These results contribute to the knowledge on the pathomechanism of MDD and may also be useful for developing new treatments.
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Affiliation(s)
- Weronika Machaj
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland
| | - Przemysław Podgórski
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland
| | - Julian Maciaszek
- Department of Psychiatry, Wroclaw Medical University, Pasteura 10, 50-367 Wroclaw, Poland
| | - Patryk Piotrowski
- Department of Psychiatry, Wroclaw Medical University, Pasteura 10, 50-367 Wroclaw, Poland
| | - Dorota Szcześniak
- Department of Psychiatry, Wroclaw Medical University, Pasteura 10, 50-367 Wroclaw, Poland
| | - Adrian Korbecki
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland
| | - Joanna Rymaszewska
- Department of Psychiatry, Wroclaw Medical University, Pasteura 10, 50-367 Wroclaw, Poland
- Department of Clinical Neuroscience, Faculty of Medicine, Wroclaw University of Science and Technology, WUST Hoene-Wrońskiego 13c, 50-372 Wroclaw, Poland
| | - Anna Zimny
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland
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Wen Y, Li H, Huang Y, Qiao D, Ren T, Lei L, Li G, Yang C, Xu Y, Han M, Liu Z. Dynamic network characteristics of adolescents with major depressive disorder: Attention network mediates the association between anhedonia and attentional deficit. Hum Brain Mapp 2023; 44:5749-5769. [PMID: 37683097 PMCID: PMC10619388 DOI: 10.1002/hbm.26474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 08/10/2023] [Accepted: 08/17/2023] [Indexed: 09/10/2023] Open
Abstract
Attention deficit is a critical symptom that impairs social functioning in adolescents with major depressive disorder (MDD). In this study, we aimed to explore the dynamic neural network activity associated with attention deficits and its relationship with clinical outcomes in adolescents with MDD. We included 188 adolescents with MDD and 94 healthy controls. By combining psychophysics, resting-state electroencephalography (EEG), and functional magnetic resonance imaging (fMRI) techniques, we aimed to identify dynamic network features through the investigation of EEG microstate characteristics and related temporal network features in adolescents with MDD. At baseline, microstate analysis revealed that the occurrence of Microstate C in the patient group was lower than that in healthy controls, whereas the duration and coverage of Microstate D increased in the MDD group. Mediation analysis revealed that the probability of transition from Microstate C to D mediated anhedonia and attention deficits in the MDD group. fMRI results showed that the temporal variability of the dorsal attention network (DAN) was significantly weaker in patients with MDD than in healthy controls. Importantly, the temporal variability of DAN mediated the relationship between anhedonia and attention deficits in the patient group. After acute-stage treatment, the response prediction group (RP) showed improvement in Microstates C and D compared to the nonresponse prediction group (NRP). For resting-state fMRI data, the temporal variability of DAN was significantly higher in the RP group than in the NRP group. Overall, this study enriches our understanding of the neural mechanisms underlying attention deficits in patients with MDD and provides novel clinical biomarkers.
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Affiliation(s)
- Yujiao Wen
- Department of PsychiatryThe First Hospital of Shanxi Medical UniversityTaiyuanChina
| | - Hong Li
- Department of PsychiatryThe First Hospital of Shanxi Medical UniversityTaiyuanChina
| | - Yangxi Huang
- Department of PsychiatryThe First Hospital of Shanxi Medical UniversityTaiyuanChina
| | - Dan Qiao
- Department of PsychiatryThe First Hospital of Shanxi Medical UniversityTaiyuanChina
| | - Tian Ren
- Department of PsychiatryThe First Hospital of Shanxi Medical UniversityTaiyuanChina
| | - Lei Lei
- Department of PsychiatryThe First Hospital of Shanxi Medical UniversityTaiyuanChina
| | - Gaizhi Li
- Department of PsychiatryThe First Hospital of Shanxi Medical UniversityTaiyuanChina
| | - Chunxia Yang
- Department of PsychiatryThe First Hospital of Shanxi Medical UniversityTaiyuanChina
| | - Yifan Xu
- Department of PsychiatryThe First Hospital of Shanxi Medical UniversityTaiyuanChina
| | - Min Han
- Department of PsychiatryThe First Hospital of Shanxi Medical UniversityTaiyuanChina
| | - Zhifen Liu
- Department of PsychiatryThe First Hospital of Shanxi Medical UniversityTaiyuanChina
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Belleau EL, Kremens R, Bolton TA, Bondy E, Pisoni A, Auerbach RP, Pizzagalli DA. Default Mode and Frontoparietal Network Dynamics: Associations with Familial Risk for Depression and Stress Sensitivity. JOURNAL OF MOOD AND ANXIETY DISORDERS 2023; 1:100001. [PMID: 39193065 PMCID: PMC11349319 DOI: 10.1016/j.xjmad.2023.100001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/29/2024]
Abstract
Background Major Depressive Disorder (MDD) is associated with alterations within the default mode (DMN) and frontoparietal (FPN) networks. However, it is unclear whether changes in these networks occur prior to onset in youth at high familial risk for MDD or are a consequence of MDD. Moreover, studies examining premorbid MDD vulnerability markers have focused on static rather than dynamic network properties, which could further elucidate DMN-FPN imbalances linked to MDD risk. Methods Eighty-nine unaffected 12-14-year-old adolescents both with (n = 27) and without (n = 62) a maternal history of MDD completed a resting state functional magnetic resonance imaging scan and self-report assessments of depressive symptoms and perceived stress at baseline and every three months across a two-year span. A coactivation pattern (CAP) analysis was conducted to examine functional network dynamic properties, including time spent in each CAP (total number of volumes), CAP persistence (number of consecutive volumes in each CAP), and number of transitions between posterior DMN-FPN and canonical DMN CAPs. Multilevel models estimated whether DMN-FPN dynamic properties predicted future depressive symptoms and stress sensitivity. Results High-risk adolescents spent more time and exhibited a longer persistence in a posterior DMN-FPN CAP. DMN-FPN CAP persistence predicted future perceived stress, but only among high-risk adolescents. High-risk adolescents characterized by high DMN-FPN persistence reported greater future perceived stress, whereas those showing low DMN-FPN persistence had reduced perceived stress over time. Unexpectedly, DMN-FPN dynamics did not predict future depressive symptoms. Conclusions Altered DMN-FPN CAP properties among high-risk adolescents mirror alterations among individuals with MDD, suggesting that DMN-FPN dynamics may be a risk marker rather than consequence of MDD. Furthermore, longer DMN-FPN CAP persistence increases vulnerability in high-risk adolescents by predicting greater future stress sensitivity, a well-known catalyst for MDD. Replication in a larger sample is warranted.
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Affiliation(s)
- Emily L. Belleau
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Rebecca Kremens
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
| | - Thomas A.W. Bolton
- Connectomics Laboratory, Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
| | - Erin Bondy
- Department of Psychological & Brain Sciences, Washington University, St. Louis, MO, USA
| | - Angela Pisoni
- Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
| | - Randy P. Auerbach
- Department of Psychiatry, Columbia University, New York, NY, USA
- Division of Clinical Developmental Neuroscience, Sackler Institute, New York, NY, USA
| | - Diego A. Pizzagalli
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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5
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Burkhouse KL, Kujawa A. Annual Research Review: Emotion processing in offspring of mothers with depression diagnoses - a systematic review of neural and physiological research. J Child Psychol Psychiatry 2023; 64:583-607. [PMID: 36511171 DOI: 10.1111/jcpp.13734] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/25/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Theories of the intergenerational transmission of depression emphasize alterations in emotion processing among offspring of depressed mothers as a key risk mechanism, raising questions about biological processes contributing to these alterations. The objective of this systematic annual research review was to examine and integrate studies of the associations between maternal depression diagnoses and offspring's emotion processing from birth through adolescence across biological measures including autonomic psychophysiology, electroencephalography (EEG), magnetoencephalography (MEG), event-related potentials (ERP), and structural and functional magnetic resonance imaging (MRI). METHODS The review was conducted in accordance with the PRISMA 2020 standards. A systematic search was conducted in PsycInfo and PubMed in 2022 for studies that included, 1) mothers with and without DSM-defined depressive disorders assessed via a clinical or diagnostic interview, and 2) measures of offspring emotion processing assessed at the psychophysiological or neural level between birth and 18 years of age. RESULTS Findings from 64 studies indicated that young offspring of mothers with depression histories exhibit heightened corticolimbic activation to negative emotional stimuli, reduced left frontal brain activation, and reduced ERP and mesocorticolimbic responses to reward cues compared to offspring of never-depressed mothers. Further, activation of resting-state networks involved in affective processing differentiate offspring of depressed relative to nondepressed mothers. Some of these alterations were only apparent among youth of depressed mothers exposed to negative environmental contexts or exhibiting current emotional problems. Further, some of these patterns were observable in infancy, reflecting very early emerging vulnerabilities. CONCLUSIONS This systematic review provides evidence that maternal depression is associated with alterations in emotion processing across several biological units of analysis in offspring. We present a preliminary conceptual model of the role of deficient emotion processing in pathways from maternal depression to offspring psychopathology and discuss future research avenues addressing limitations of the existing research and clinical implications.
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Affiliation(s)
- Katie L Burkhouse
- The Research Institute, Nationwide Children's Hospital, Columbus, OH, USA.,Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA
| | - Autumn Kujawa
- Department of Psychology and Human Development, Vanderbilt University, Nashville, TN, USA
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Youngstrom EA, Young AS, Van Eck K, Stepanova E, Langfus JA, Carlson G, Findling RL. Developing Empirical Latent Profiles of Impulsive Aggression and Mood in Youths across Three Outpatient Samples. JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY : THE OFFICIAL JOURNAL FOR THE SOCIETY OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY, AMERICAN PSYCHOLOGICAL ASSOCIATION, DIVISION 53 2023; 52:196-211. [PMID: 34125637 PMCID: PMC9173587 DOI: 10.1080/15374416.2021.1929251] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Aggression with impulsivity and reactivity (AIR) may distinguish a subset of youth from those with attention problems, rule-breaking behavior, or mood disorders, potentially with differential treatment response. Yet, DSM-5 and ICD-10 do not include an AIR diagnosis. Thus, we empirically grouped youths into profiles based on AIR, manic, depressive, rule-breaking, and self-harm behaviors; examined which profiles replicated across three samples; and characterized profile sets on demographic and clinical features. METHOD After harmonizing data from three samples (n = 679, n = 392, n = 634), Latent Profile Analysis (LPA) assigned youth to profiles based on caregiver-reported measures of AIR, manic, depressive, rule-breaking, and self-harm behaviors. Profiles from each sample were grouped into sets based on profile similarity. Analyses tested differences in diagnoses, sex, and race, age, functioning, and mood severity. RESULTS Eight-profile solutions fit best. Seven profiles replicated across samples: high AIR and self-harm, lower depressive and manic scores; high AIR, manic symptoms, and self-harm; high depression symptoms; three smaller sets with high manic and depressive symptoms and moderate AIR; and two high rates of bipolar diagnoses and family bipolar history. Two sets were high on both AIR and mood symptoms, were the most impaired, and had the highest comorbidity. CONCLUSIONS Analyses support an empirical definition of AIR, separate from mood disorders. Profile sets distinguished by level of AIR and mood symptoms differed in demographic and diagnostic characteristics as well as functioning. Importantly, a set emerged with high AIR but low mood indicators and with high rates of ADHD and ODD, but not mood disorder.
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Affiliation(s)
- Eric A Youngstrom
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill
| | | | | | | | - Joshua A Langfus
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill
| | - Gabrielle Carlson
- Department of Psychiatry, State University of New York at Stony Brook
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7
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Fan J, Gao F, Wang X, Liu Q, Xia J, Han Y, Yi J, Tan C, Zhu X. Right amygdala-right precuneus connectivity is associated with childhood trauma in major depression patients and healthy controls. Soc Cogn Affect Neurosci 2023; 18:6987480. [PMID: 36639930 PMCID: PMC10036873 DOI: 10.1093/scan/nsac064] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 11/24/2022] [Accepted: 01/13/2023] [Indexed: 01/15/2023] Open
Abstract
The present study investigated the effect of childhood trauma (CT) on amygdala and hippocampus functional connectivity (FC) and the association with clinical presentations of major depressive disorder (MDD). Participants included 73 MDD patients (42 with moderate-to-severe CT and 31 with no or low CT) and 64 healthy controls (HC; 30 with moderate-to-severe CT and 34 with no or low CT). Seed-based whole-brain resting-state FC analyses were performed with seeds located in amygdala and hippocampus. Individuals with moderate-to-severe CT, irrespective of MDD diagnosis, had decreased right amygdala-right precuneus connectivity compared to those with no or low CT. Right amygdala-right precuneus connectivity was significantly correlated with physical and social trait anhedonia in MDD. Mediation effects of this FC on relationship between CT (specifically neglect but not abuse) and trait anhedonia in MDD were significant. MDD patients demonstrated increased right amygdala-left middle frontal gyrus FC, decreased right amygdala-right medial superior frontal gyrus (mSFG) FC and decreased right hippocampus-bilateral mSFG FC relative to HC. Findings highlight the effect of CT on right amygdala-right precuneus FC irrespective of MDD diagnosis. FC of right amygdala-right precuneus may be involved in the mechanism linking CT and depression through its association with trait anhedonia.
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Affiliation(s)
- Jie Fan
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
- Medical Psychological Institute of Central South University, Changsha, Hunan 410011, China
- National Clinical Research Center for Mental Disorders, Changsha, Hunan 410011, China
| | - Feng Gao
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Xiang Wang
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Qian Liu
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Jie Xia
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Yan Han
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Jinyao Yi
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Changlian Tan
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Xiongzhao Zhu
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
- Medical Psychological Institute of Central South University, Changsha, Hunan 410011, China
- National Clinical Research Center for Mental Disorders, Changsha, Hunan 410011, China
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8
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Mulders PCR, van Eijndhoven PFP, van Oort J, Oldehinkel M, Duyser FA, Kist JD, Collard RM, Vrijsen JN, Haak KV, Beckmann CF, Tendolkar I, Marquand AF. Striatal connectopic maps link to functional domains across psychiatric disorders. Transl Psychiatry 2022; 12:513. [PMID: 36513630 PMCID: PMC9747785 DOI: 10.1038/s41398-022-02273-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 11/21/2022] [Accepted: 11/29/2022] [Indexed: 12/15/2022] Open
Abstract
Transdiagnostic approaches to psychiatry have significant potential in overcoming the limitations of conventional diagnostic paradigms. However, while frameworks such as the Research Domain Criteria have garnered significant enthusiasm among researchers and clinicians from a theoretical angle, examples of how such an approach might translate in practice to understand the biological mechanisms underlying complex patterns of behaviors in realistic and heterogeneous populations have been sparse. In a richly phenotyped clinical sample (n = 186) specifically designed to capture the complex nature of heterogeneity and comorbidity within- and between stress- and neurodevelopmental disorders, we use exploratory factor analysis on a wide range of clinical questionnaires to identify four stable functional domains that transcend diagnosis and relate to negative valence, cognition, social functioning and inhibition/arousal before replicating them in an independent dataset (n = 188). We then use connectopic mapping to map inter-individual variation in fine-grained topographical organization of functional connectivity in the striatum-a central hub in motor, cognitive, affective and reward-related brain circuits-and use multivariate machine learning (canonical correlation analysis) to show that these individualized topographic representations predict transdiagnostic functional domains out of sample (r = 0.20, p = 0.026). We propose that investigating psychiatric symptoms across disorders is a promising path to linking them to underlying biology, and can help bridge the gap between neuroscience and clinical psychiatry.
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Affiliation(s)
- Peter C R Mulders
- Radboud university medical center, Department of Psychiatry, Nijmegen, The Netherlands.
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
| | - Philip F P van Eijndhoven
- Radboud university medical center, Department of Psychiatry, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Jasper van Oort
- Radboud university medical center, Department of Psychiatry, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Marianne Oldehinkel
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Radboud university medical center Nijmegen, Nijmegen, The Netherlands
| | - Fleur A Duyser
- Radboud university medical center, Department of Psychiatry, Nijmegen, The Netherlands
| | - Josina D Kist
- Radboud university medical center, Department of Psychiatry, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Rose M Collard
- Radboud university medical center, Department of Psychiatry, Nijmegen, The Netherlands
| | - Janna N Vrijsen
- Radboud university medical center, Department of Psychiatry, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Depression Expertise Centre, Pro Persona Mental Health Care, Nijmegen, The Netherlands
| | - Koen V Haak
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Christian F Beckmann
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Indira Tendolkar
- Radboud university medical center, Department of Psychiatry, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Andre F Marquand
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
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9
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Yu Q, Hodgdon EA, Kryza-Lacombe M, Osuna L, Bozzetto LE, Ciro D, Wakschlag LS, Wiggins JL. Roads Diverged: Developmental Trajectories of Irritability From Toddlerhood Through Adolescence. J Am Acad Child Adolesc Psychiatry 2022; 62:457-471. [PMID: 36334890 PMCID: PMC10112490 DOI: 10.1016/j.jaac.2022.07.849] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 07/02/2022] [Accepted: 10/26/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Irritability is a dimensional trait that manifests from early life and is a robust transdiagnostic risk factor for psychopathology and impairment. A large, national dataset was leveraged to identify and broadly characterize trajectories from toddlerhood through adolescence, which is crucial for timely, targeted interventions. METHOD Data on irritability and a broad array of potential factors affecting irritability development from 4,462 children assessed longitudinally at ages 3, 5, 9, and 15 were included. Latent class growth models identified groups of children based on their nonlinear irritability trajectories from toddlerhood to adolescence. LASSO regression then identified key characteristics differentiating trajectory groups. RESULTS Five distinct irritability trajectories were identified, two of which were stable, maintaining medium or high irritability from age 3 to 15. Three trajectories showed undulating change over development, with an inflection point at the transition to adolescence (age 9): Most children had consistently low irritability. Two smaller groups started with high irritability at age 3 but diverged, sharply decreasing or increasing until a turning point at age 9. Developmental patterning of harsh/neglectful parenting and child internalizing symptoms most strongly differentiated trajectory groups. Sociodemographic characteristics, attachment style, neighborhood support, cognitive functioning, and genetic variation also differentiated trajectories. CONCLUSION The results demonstrated the importance of the transition to adolescence as a critical inflection point for youths with fluctuating irritability trajectories. Identifying these patterns and multiple malleable factors associated with stably high or rising trajectories is an important step toward targeted interventions for the most vulnerable subgroups. DIVERSITY & INCLUSION STATEMENT We worked to ensure sex and gender balance in the recruitment of human participants. We worked to ensure race, ethnic, and/or other types of diversity in the recruitment of human participants. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented sexual and/or gender groups in science. One or more of the authors of this paper self-identifies as living with a disability. One or more of the authors of this paper received support from a program designed to increase minority representation in science. We actively worked to promote sex and gender balance in our author group. We actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our author group.
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Affiliation(s)
- Qiongru Yu
- San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology.
| | | | - Maria Kryza-Lacombe
- San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology
| | | | | | - Dianne Ciro
- School of Social Work, San Diego State University
| | - Lauren S Wakschlag
- Feinberg School of Medicine and Institute for Innovations in Developmental Sciences, Northwestern University
| | - Jillian Lee Wiggins
- San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology; San Diego State University
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10
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Macêdo MA, Sato JR, Bressan RA, Pan PM. Adolescent depression and resting-state fMRI brain networks: a scoping review of longitudinal studies. REVISTA BRASILEIRA DE PSIQUIATRIA (SAO PAULO, BRAZIL : 1999) 2022; 44. [PMID: 35896034 PMCID: PMC9375668 DOI: 10.47626/1516-4446-2021-2032] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 12/02/2021] [Indexed: 11/24/2022]
Abstract
The neurobiological factors associated with the emergence of major depressive disorder (MDD) in adolescence are still unclear. Previous cross-sectional studies have documented aberrant connectivity in resting-state functional magnetic resonance imaging (rs-fMRI) networks. However, whether these findings precede MDD onset has not been established. This scoping review mapped key methodological aspects and main findings of longitudinal rs-fMRI studies of MDD in adolescence. Three sets of neuroimaging methods to analyze rs-fMRI data were identified: seed-based analysis, independent component analysis, and network-based approaches. Main findings involved aberrant connectivity within and between the default mode network (DMN), the cognitive control network (CCN), and the salience network (SN). Accordingly, we utilized Menon's (2011) triple-network model for neuropsychiatric disorders to summarize key results. Adolescent MDD was associated with hyperconnectivity within the SN and between DMN and SN, as well as hypoconectivity within the CCN. These findings suggested that dysfunctional connectivity among the three main large-scale brain networks preceded MDD onset. However, there was high heterogeneity in neuroimaging methods and sampling procedures, which may limit comparisons between studies. Future studies should consider some level of harmonization for clinical instruments and neuroimaging methods.
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Affiliation(s)
- Marcos Antônio Macêdo
- Laboratório Interdisciplinar de Neurociências Clínicas, Departamento de Psiquiatria, Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil
| | - João Ricardo Sato
- Centro de Matemática, Computação e Cognição, Universidade Federal do ABC, Santo André, SP, Brazil
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Rodrigo A. Bressan
- Laboratório Interdisciplinar de Neurociências Clínicas, Departamento de Psiquiatria, Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil
- Instituto Nacional de Psiquiatria do Desenvolvimento, São Paulo, SP, Brazil
| | - Pedro Mario Pan
- Laboratório Interdisciplinar de Neurociências Clínicas, Departamento de Psiquiatria, Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil
- Instituto Nacional de Psiquiatria do Desenvolvimento, São Paulo, SP, Brazil
- Programa Jovens Lideranças Médicas, Academia Nacional de Medicina, Rio de Janeiro, RJ, Brazil
- Departamento de Psiquiatria, UNIFESP, São Paulo, SP, Brazil
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11
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Blank TS, Meyer BM, Wieser M, Rabl U, Schögl P, Pezawas L. Brain morphometry and connectivity differs between adolescent- and adult-onset major depressive disorder. Depress Anxiety 2022; 39:387-396. [PMID: 35421280 PMCID: PMC9323432 DOI: 10.1002/da.23254] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 03/05/2022] [Accepted: 03/13/2022] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Early-onset (EO) major depressive disorder (MDD) patients experience more depressive episodes and an increased risk of relapse. Thus, on a neurobiological level, adult EO patients might display brain structure and function different from adult-onset (AO) patients. METHODS A total of 103 patients (66 females) underwent magnetic resonance imaging. Structural measures of gray matter volume (GMV) and functional connectivity networks during resting state were compared between EO (≤19 years) and AO groups. Four residual major depression symptoms, mood, anxiety, insomnia, and somatic symptoms, were correlated with GMV between groups. RESULTS We found comparatively increased GMV in the EO group, namely the medial prefrontal and insular cortex, as well as the anterior hippocampus. Functional networks in EO patients showed a comparatively weaker synchronization of the left hippocampus with the adjacent amygdala, and a stronger integration with nodes in the contralateral prefrontal cortex and supramarginal gyrus. Volumetric analysis of depression symptoms associated the caudate nuclei with symptoms of insomnia, and persisting mood symptoms with the right amygdala, while finding no significant clusters for somatic and anxiety symptoms. CONCLUSIONS The study highlights the important role of the hippocampus and the prefrontal cortex in EO patients as part of emotion-regulation networks. Results in EO patients demonstrated subcortical volume changes irrespective of sleep and mood symptom recovery, which substantiates adolescence as a pivotal developmental phase for MDD. Longitudinal studies are needed to differentiate neural recovery trajectories while accounting for age of onset.
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Affiliation(s)
- Thomas S. Blank
- Department of Psychiatry and PsychotherapyMedical University of ViennaWienAustria
| | - Bernhard M. Meyer
- Department of Psychiatry and PsychotherapyMedical University of ViennaWienAustria
| | - Marie‐Kathrin Wieser
- Department of Psychiatry and PsychotherapyMedical University of ViennaWienAustria
| | - Ulrich Rabl
- Department of Psychiatry and PsychotherapyMedical University of ViennaWienAustria
| | - Paul Schögl
- Department of Psychiatry and PsychotherapyMedical University of ViennaWienAustria
| | - Lukas Pezawas
- Department of Psychiatry and PsychotherapyMedical University of ViennaWienAustria
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12
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Nakua H, Hawco C, Forde NJ, Jacobs GR, Joseph M, Voineskos AN, Wheeler AL, Lai MC, Szatmari P, Kelley E, Liu X, Georgiades S, Nicolson R, Schachar R, Crosbie J, Anagnostou E, Lerch JP, Arnold PD, Ameis SH. Cortico-amygdalar connectivity and externalizing/internalizing behavior in children with neurodevelopmental disorders. Brain Struct Funct 2022; 227:1963-1979. [PMID: 35469103 PMCID: PMC9232404 DOI: 10.1007/s00429-022-02483-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 03/15/2022] [Indexed: 12/31/2022]
Abstract
Background Externalizing and internalizing behaviors contribute to clinical impairment in children with neurodevelopmental disorders (NDDs). Although associations between externalizing or internalizing behaviors and cortico-amygdalar connectivity have been found in clinical and non-clinical pediatric samples, no previous study has examined whether similar shared associations are present across children with different NDDs. Methods Multi-modal neuroimaging and behavioral data from the Province of Ontario Neurodevelopmental Disorders (POND) Network were used. POND participants aged 6–18 years with a primary diagnosis of autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD) or obsessive–compulsive disorder (OCD), as well as typically developing children (TDC) with T1-weighted, resting-state fMRI or diffusion weighted imaging (DWI) and parent-report Child Behavioral Checklist (CBCL) data available, were analyzed (total n = 346). Associations between externalizing or internalizing behavior and cortico-amygdalar structural and functional connectivity indices were examined using linear regressions, controlling for age, gender, and image-modality specific covariates. Behavior-by-diagnosis interaction effects were also examined. Results No significant linear associations (or diagnosis-by-behavior interaction effects) were found between CBCL-measured externalizing or internalizing behaviors and any of the connectivity indices examined. Post-hoc bootstrapping analyses indicated stability and reliability of these null results. Conclusions The current study provides evidence towards an absence of a shared linear relationship between internalizing or externalizing behaviors and cortico-amygdalar connectivity properties across a transdiagnostic sample of children with different primary NDD diagnoses and TDC. Different methodological approaches, including incorporation of multi-dimensional behavioral data (e.g., task-based fMRI) or clustering approaches may be needed to clarify complex brain-behavior relationships relevant to externalizing/internalizing behaviors in heterogeneous clinical NDD populations. Supplementary Information The online version contains supplementary material available at 10.1007/s00429-022-02483-0.
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Affiliation(s)
- Hajer Nakua
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 80 Workman Way, Toronto, ON, M6J 1H4, Canada
- Institute of Medical Science, University of Toronto, Toronto, Canada
| | - Colin Hawco
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 80 Workman Way, Toronto, ON, M6J 1H4, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Natalie J Forde
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 80 Workman Way, Toronto, ON, M6J 1H4, Canada
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Grace R Jacobs
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 80 Workman Way, Toronto, ON, M6J 1H4, Canada
- Institute of Medical Science, University of Toronto, Toronto, Canada
| | - Michael Joseph
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 80 Workman Way, Toronto, ON, M6J 1H4, Canada
| | - Aristotle N Voineskos
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 80 Workman Way, Toronto, ON, M6J 1H4, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Anne L Wheeler
- Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Physiology, University of Toronto, Toronto, ON, Canada
| | - Meng-Chuan Lai
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 80 Workman Way, Toronto, ON, M6J 1H4, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada
| | - Peter Szatmari
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 80 Workman Way, Toronto, ON, M6J 1H4, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada
| | - Elizabeth Kelley
- Department of Psychology, Department of Psychiatry, Queens University, Kingston, ON, Canada
| | - Xudong Liu
- Department of Psychology, Department of Psychiatry, Queens University, Kingston, ON, Canada
| | | | - Rob Nicolson
- Department of Psychiatry, University of Western Ontario, London, ON, Canada
| | - Russell Schachar
- Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Jennifer Crosbie
- Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Evdokia Anagnostou
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
- Department of Pediatrics, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Jason P Lerch
- Mouse Imaging Centre, Hospital for Sick Children, Toronto, ON, Canada
- Department of Medical Biophysics, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Paul D Arnold
- The Mathison Centre for Mental Health Research and Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Departments of Psychiatry and Medical Genetics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Stephanie H Ameis
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 80 Workman Way, Toronto, ON, M6J 1H4, Canada.
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
- Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada.
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13
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Yoon L, Carranza AF, Swartz JR. Resting-State Functional Connectivity Associated With Extraversion and Agreeableness in Adolescence. Front Behav Neurosci 2022; 15:644790. [PMID: 35046781 PMCID: PMC8762207 DOI: 10.3389/fnbeh.2021.644790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 12/08/2021] [Indexed: 11/23/2022] Open
Abstract
Although adolescence is a period in which developmental changes occur in brain connectivity, personality formation, and peer interaction, few studies have examined the neural correlates of personality dimensions related to social behavior within adolescent samples. The current study aims to investigate whether adolescents’ brain functional connectivity is associated with extraversion and agreeableness, personality dimensions linked to peer acceptance, social network size, and friendship quality. Considering sex-variant neural maturation in adolescence, we also examined sex-specific associations between personality and functional connectivity. Using resting-state functional magnetic resonance imaging (fMRI) data from a community sample of 70 adolescents aged 12–15, we examined associations between self-reported extraversion and agreeableness and seed-to-whole brain connectivity with the amygdala as a seed region of interest. Then, using 415 brain regions that correspond to 8 major brain networks and subcortex, we explored neural connectivity within brain networks and across the whole-brain. We conducted group-level multiple regression analyses with the regressors of extraversion, agreeableness, and their interactions with sex. Results demonstrated that amygdala connectivity with the postcentral gyrus, middle temporal gyrus, and the temporal pole is positively associated with extraversion in girls and negatively associated with extraversion in boys. Agreeableness was positively associated with amygdala connectivity with the middle occipital cortex and superior parietal cortex, in the same direction for boys and girls. Results of the whole-brain connectivity analysis revealed that the connectivity of the postcentral gyrus, located in the dorsal attention network, with regions in default mode network (DMN), salience/ventral attention network, and control network (CON) was associated with extraversion, with most connections showing positive associations in girls and negative associations in boys. For agreeableness, results of the within-network connectivity analysis showed that connections within the limbic network were positively associated with agreeableness in boys while negatively associated with or not associated with agreeableness in girls. Results suggest that intrinsic functional connectivity may contribute to adolescents’ individual differences in extraversion and agreeableness and highlights sex-specific neural connectivity patterns associated with the two personality dimensions. This study deepens our understanding of the neurobiological correlates of adolescent personality that may lead to different developmental trajectories of social experience.
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14
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Li H, Yan W, Wang Q, Liu L, Lin X, Zhu X, Su S, Sun W, Sui M, Bao Y, Lu L, Deng J, Sun X. Mindfulness-Based Cognitive Therapy Regulates Brain Connectivity in Patients With Late-Life Depression. Front Psychiatry 2022; 13:841461. [PMID: 35237197 PMCID: PMC8882841 DOI: 10.3389/fpsyt.2022.841461] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 01/19/2022] [Indexed: 12/18/2022] Open
Abstract
Late-life depression (LLD) is an important public health problem among the aging population. Recent studies found that mindfulness-based cognitive therapy (MBCT) can effectively alleviate depressive symptoms in major depressive disorder. The present study explored the clinical effect and potential neuroimaging mechanism of MBCT in the treatment of LLD. We enrolled 60 participants with LLD in an 8-week, randomized, controlled trial (ChiCTR1800017725). Patients were randomized to the treatment-as-usual (TAU) group or a MBCT+TAU group. The Hamilton Depression Scale (HAMD) and Hamilton Anxiety Scale (HAMA) were used to evaluate symptoms. Magnetic resonance imaging (MRI) was used to measure changes in resting-state functional connectivity and structural connectivity. We also measured the relationship between changes in brain connectivity and improvements in clinical symptoms. HAMD total scores in the MBCT+TAU group were significantly lower than in the TAU group after 8 weeks of treatment (p < 0.001) and at the end of the 3-month follow-up (p < 0.001). The increase in functional connections between the amygdala and middle frontal gyrus (MFG) correlated with decreases in HAMA and HAMD scores in the MBCT+TAU group. Diffusion tensor imaging analyses showed that fractional anisotropy of the MFG-amygdala significantly increased in the MBCT+TAU group after 8-week treatment compared with the TAU group. Our study suggested that MBCT improves depression and anxiety symptoms that are associated with LLD. MBCT strengthened functional and structural connections between the amygdala and MFG, and this increase in communication correlated with improvements in clinical symptoms. Randomized Controlled Trial; Follow-Up Study; fMRI; Brain Connectivity.
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Affiliation(s)
- Hui Li
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Wei Yan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Qianwen Wang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Lin Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Xiao Lin
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Ximei Zhu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Sizhen Su
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Wei Sun
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Manqiu Sui
- Beijing Xi Cheng District Pingan Hospital, Beijing, China
| | - Yanping Bao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
| | - Lin Lu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.,National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China.,Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Jiahui Deng
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Xinyu Sun
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
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15
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Sen B, Cullen KR, Parhi KK. Classification of Adolescent Major Depressive Disorder Via Static and Dynamic Connectivity. IEEE J Biomed Health Inform 2021; 25:2604-2614. [PMID: 33296316 DOI: 10.1109/jbhi.2020.3043427] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
This paper introduces an approach for classifying adolescents suffering from MDD using resting-state fMRI. Accurate diagnosis of MDD involves interviews with adolescent patients and their parents, symptom rating scales based on Diagnostic and Statistical Manual of Mental Disorders (DSM), behavioral observation as well as the experience of a clinician. Discovering predictive biomarkers for diagnosing MDD patients using functional magnetic resonance imaging (fMRI) scans can assist the clinicians in their diagnostic assessments. This paper investigates various static and dynamic connectivity measures extracted from resting-state fMRI for assisting with MDD diagnosis. First, absolute Pearson correlation matrices from 85 brain regions are computed and they are used to calculate static features for predicting MDD. A predictive sub-network extracted using sub-graph entropy classifies adolescent MDD vs. typical healthy controls with high accuracy, sensitivity and specificity. Next, approaches utilizing dynamic connectivity are employed to extract tensor based, independent component based and principal component based subject specific attributes. Finally, features from static and dynamic approaches are combined to create a feature vector for classification. A leave-one-out cross-validation method is used for the final predictor performance. Out of 49 adolescents with MDD and 33 matched healthy controls, a support vector machine (SVM) classifier using a radial basis function (RBF) kernel using differential sub-graph entropy combined with dynamic connectivity features classifies MDD vs. healthy controls with an accuracy of 0.82 for leave-one-out cross-validation. This classifier has specificity and sensitivity of 0.79 and 0.84, respectively.
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16
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Cai Y, Elsayed NM, Barch DM. Contributions from resting state functional connectivity and familial risk to early adolescent-onset MDD: Results from the Adolescent Brain Cognitive Development study. J Affect Disord 2021; 287:229-239. [PMID: 33799042 DOI: 10.1016/j.jad.2021.03.031] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 03/09/2021] [Accepted: 03/11/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Family history of Major Depressive Disorder (MDD) is a robust predictor of MDD onset, especially in early adolescence. We examined the relationships between familial risk for depression and alterations to resting state functional connectivity (rsFC) within the default mode network (wDMN) and between the DMN and the left/right hippocampus (DMN-LHIPP/DMN-RHIPP) to the risk for early adolescent MDD onset. METHODS We examined 9403 youth aged nine to eleven from the Adolescent Brain Cognitive Development study. Depressive symptoms were measured with the parent-reported Child Behavior Checklist. Both youth and their parents completed the Kiddie Schedule for Affective Disorders and Schizophrenia, which provided MDD diagnoses. A family history screen was administered to determine familial risk for depression. Youth underwent a resting state functional magnetic resonance imaging scan, providing us with rsFC data. RESULTS Negative wDMN rsFC was associated with child-reported current depression, both child- and parent-reported past depression, and parent-reported current depressive symptoms. No difference was found in wDMN, DMN-LHIPP or DMN-RHIPP rsFC in children with or without familial risk for depression. Familial risk for depression interacted with wDMN rsFC in association with child-reported past MDD diagnosis and parent-reported current depressive symptoms. LIMITATIONS Information such as length of depressive episodes and age of onset of depression was not collected. CONCLUSIONS Altered wDMN rsFC in youth at familial risk for depression may be associated with increased risk for MDD onset in adolescence, but longitudinal studies are needed to test this hypothesis.
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Affiliation(s)
- Yuqi Cai
- Department of Psychological & Brain Sciences, Washington University, Campus Box 1125, 1 Brookings Drive, St. Louis, MO 63130 USA
| | - Nourhan M Elsayed
- Department of Psychological & Brain Sciences, Washington University, Campus Box 1125, 1 Brookings Drive, St. Louis, MO 63130 USA
| | - Deanna M Barch
- Department of Psychological & Brain Sciences, Washington University, Campus Box 1125, 1 Brookings Drive, St. Louis, MO 63130 USA; Department of Psychiatry, Washington University, St. Louis, MO USA; Department of Radiology, Washington University, St. Louis, MO USA
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17
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Balogh L, Tanaka M, Török N, Vécsei L, Taguchi S. Crosstalk between Existential Phenomenological Psychotherapy and Neurological Sciences in Mood and Anxiety Disorders. Biomedicines 2021; 9:biomedicines9040340. [PMID: 33801765 PMCID: PMC8066576 DOI: 10.3390/biomedicines9040340] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 03/24/2021] [Accepted: 03/25/2021] [Indexed: 02/07/2023] Open
Abstract
Psychotherapy is a comprehensive biological treatment modifying complex underlying cognitive, emotional, behavioral, and regulatory responses in the brain, leading patients with mental illness to a new interpretation of the sense of self and others. Psychotherapy is an art of science integrated with psychology and/or philosophy. Neurological sciences study the neurological basis of cognition, memory, and behavior as well as the impact of neurological damage and disease on these functions, and their treatment. Both psychotherapy and neurological sciences deal with the brain; nevertheless, they continue to stay polarized. Existential phenomenological psychotherapy (EPP) has been in the forefront of meaning-centered counseling for almost a century. The phenomenological approach in psychotherapy originated in the works of Martin Heidegger, Ludwig Binswanger, Medard Boss, and Viktor Frankl, and it has been committed to accounting for the existential possibilities and limitations of one's life. EPP provides philosophically rich interpretations and empowers counseling techniques to assist mentally suffering individuals by finding meaning and purpose to life. The approach has proven to be effective in treating mood and anxiety disorders. This narrative review article demonstrates the development of EPP, the therapeutic methodology, evidence-based accounts of its curative techniques, current understanding of mood and anxiety disorders in neurological sciences, and a possible converging path to translate and integrate meaning-centered psychotherapy and neuroscience, concluding that the EPP may potentially play a synergistic role with the currently prevailing medication-based approaches for the treatment of mood and anxiety disorders.
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Affiliation(s)
- Lehel Balogh
- Center for Applied Ethics and Philosophy, Hokkaido University, North 10, West 7, Kita-ku, Sapporo 060-0810, Japan
- Correspondence: ; Tel.: +81-80-8906-4263
| | - Masaru Tanaka
- MTA-SZTE, Neuroscience Research Group, Semmelweis u. 6, H-6725 Szeged, Hungary; (M.T.); (N.T.); (L.V.)
- Department of Neurology, Interdisciplinary Excellence Centre, Faculty of Medicine, University of Szeged, Semmelweis u. 6, H-6725 Szeged, Hungary
| | - Nóra Török
- MTA-SZTE, Neuroscience Research Group, Semmelweis u. 6, H-6725 Szeged, Hungary; (M.T.); (N.T.); (L.V.)
- Department of Neurology, Interdisciplinary Excellence Centre, Faculty of Medicine, University of Szeged, Semmelweis u. 6, H-6725 Szeged, Hungary
| | - László Vécsei
- MTA-SZTE, Neuroscience Research Group, Semmelweis u. 6, H-6725 Szeged, Hungary; (M.T.); (N.T.); (L.V.)
- Department of Neurology, Interdisciplinary Excellence Centre, Faculty of Medicine, University of Szeged, Semmelweis u. 6, H-6725 Szeged, Hungary
| | - Shigeru Taguchi
- Faculty of Humanities and Human Sciences & Center for Human Nature, Artificial Intelligence, and Neuroscience (CHAIN), Hokkaido University, Kita 12, Nishi 7, Kita-ku, Sapporo 060-0812, Japan;
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18
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Xu X, Dai J, Chen Y, Liu C, Xin F, Zhou X, Zhou F, Stamatakis EA, Yao S, Luo L, Huang Y, Wang J, Zou Z, Vatansever D, Kendrick KM, Zhou B, Becker B. Intrinsic connectivity of the prefrontal cortex and striato-limbic system respectively differentiate major depressive from generalized anxiety disorder. Neuropsychopharmacology 2021; 46:791-798. [PMID: 32961541 PMCID: PMC8027677 DOI: 10.1038/s41386-020-00868-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 09/03/2020] [Accepted: 09/08/2020] [Indexed: 12/21/2022]
Abstract
Major depressive disorder (MDD) and generalized anxiety disorder (GAD) are highly prevalent and debilitating disorders. The high overlap on the symptomatic and neurobiological level led to ongoing debates about their diagnostic and neurobiological uniqueness. The present study aims to identify common and disorder-specific neuropathological mechanisms and treatment targets in MDD and GAD. To this end we combined categorical and dimensional disorder models with a fully data-driven intrinsic network-level analysis (intrinsic connectivity contrast, ICC) to resting-state fMRI data acquired in 108 individuals (n = 35 and n = 38 unmedicated patients with first-episode GAD, MDD, respectively, and n = 35 healthy controls). Convergent evidence from categorical and dimensional analyses revealed MDD-specific decreased whole-brain connectivity profiles of the medial prefrontal and dorsolateral prefrontal cortex while GAD was specifically characterized by decreased whole-brain connectivity profiles of the putamen and decreased communication of this region with the amygdala. Together, findings from the present data-driven analysis suggest that intrinsic communication of frontal regions engaged in executive functions and emotion regulation represent depression-specific neurofunctional markers and treatment targets whereas dysregulated intrinsic communication of the striato-amygdala system engaged in reinforcement-based and emotional learning processes represent GAD-specific markers.
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Affiliation(s)
- Xiaolei Xu
- grid.54549.390000 0004 0369 4060The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054 Sichuan China
| | - Jing Dai
- grid.54549.390000 0004 0369 4060The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054 Sichuan China ,Chengdu Mental Health Center, Chengdu, 610036 Sichuan China
| | - Yuanshu Chen
- grid.54549.390000 0004 0369 4060The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054 Sichuan China
| | - Congcong Liu
- grid.54549.390000 0004 0369 4060The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054 Sichuan China
| | - Fei Xin
- grid.54549.390000 0004 0369 4060The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054 Sichuan China
| | - Xinqi Zhou
- grid.54549.390000 0004 0369 4060The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054 Sichuan China
| | - Feng Zhou
- grid.54549.390000 0004 0369 4060The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054 Sichuan China
| | - Emmanuel A. Stamatakis
- grid.5335.00000000121885934Division of Anaesthesia, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, Hills Rd, Cambridge, CB2 0SP UK ,grid.5335.00000000121885934Department of Clinical Neurosciences, School of Clinical Medicine, Addenbrooke’s Hospital, University of Cambridge, Hills Rd, Cambridge, CB2 0SP UK
| | - Shuxia Yao
- grid.54549.390000 0004 0369 4060The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054 Sichuan China
| | - Lizhu Luo
- grid.54549.390000 0004 0369 4060The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054 Sichuan China ,Chengdu Mental Health Center, Chengdu, 610036 Sichuan China
| | - Yulan Huang
- grid.410646.10000 0004 1808 0950Department of Psychosomatic Medicine, Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, Chengdu, 610072 Sichuan China
| | - Jinyu Wang
- grid.410646.10000 0004 1808 0950Department of Psychosomatic Medicine, Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, Chengdu, 610072 Sichuan China
| | - Zhili Zou
- grid.410646.10000 0004 1808 0950Department of Psychosomatic Medicine, Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, Chengdu, 610072 Sichuan China
| | - Deniz Vatansever
- grid.8547.e0000 0001 0125 2443Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, 200433 Shanghai, China
| | - Keith M. Kendrick
- grid.54549.390000 0004 0369 4060The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054 Sichuan China
| | - Bo Zhou
- Department of Psychosomatic Medicine, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, 610072, Sichuan, China.
| | - Benjamin Becker
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China.
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19
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Neta M, Brock RL. Social connectedness and negative affect uniquely explain individual differences in response to emotional ambiguity. Sci Rep 2021; 11:3870. [PMID: 33594094 PMCID: PMC7886913 DOI: 10.1038/s41598-020-80471-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 12/21/2020] [Indexed: 01/31/2023] Open
Abstract
Negativity bias is not only central to mood and anxiety disorders, but can powerfully impact our decision-making across domains (e.g., financial, medical, social). This project builds on previous work examining negativity bias using dual-valence ambiguity. Specifically, although some facial expressions have a relatively clear negative (angry) or positive valence (happy), surprised expressions are interpreted negatively by some and positively by others, providing insight into one's valence bias. Here, we examine putative sources of variability that distinguish individuals with a more negative versus positive valence bias using structural equation modeling. Our model reveals that one's propensity toward negativity (operationalized as temperamental negative affect and internalizing symptomology) predicts valence bias particularly in older adulthood when a more positive bias is generally expected. Further, variability in social connectedness (a propensity to seek out social connections, use those connections to regulate one's own emotions, and be empathic) emerges as a notable and unique predictor of valence bias, likely because these traits help to override an initial, default negativity. We argue that this task represents an important approach to examining variability in affective bias, and can be specifically useful across the lifespan and in populations with internalizing disorders or even subclinical symptomology.
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Affiliation(s)
- Maital Neta
- Department of Psychology, University of Nebraska-Lincoln, Lincoln, USA.
| | - Rebecca L Brock
- Department of Psychology, University of Nebraska-Lincoln, Lincoln, USA
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20
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Crosstalk between Depression and Dementia with Resting-State fMRI Studies and Its Relationship with Cognitive Functioning. Biomedicines 2021; 9:biomedicines9010082. [PMID: 33467174 PMCID: PMC7830949 DOI: 10.3390/biomedicines9010082] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 01/12/2021] [Accepted: 01/13/2021] [Indexed: 12/11/2022] Open
Abstract
Alzheimer’s disease (AD) is the most common type of dementia, and depression is a risk factor for developing AD. Epidemiological studies provide a clinical correlation between late-life depression (LLD) and AD. Depression patients generally remit with no residual symptoms, but LLD patients demonstrate residual cognitive impairment. Due to the lack of effective treatments, understanding how risk factors affect the course of AD is essential to manage AD. Advances in neuroimaging, including resting-state functional MRI (fMRI), have been used to address neural systems that contribute to clinical symptoms and functional changes across various psychiatric disorders. Resting-state fMRI studies have contributed to understanding each of the two diseases, but the link between LLD and AD has not been fully elucidated. This review focuses on three crucial and well-established networks in AD and LLD and discusses the impacts on cognitive decline, clinical symptoms, and prognosis. Three networks are the (1) default mode network, (2) executive control network, and (3) salience network. The multiple properties emphasized here, relevant for the hypothesis of the linkage between LLD and AD, will be further developed by ongoing future studies.
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21
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Gaffrey MS, Barch DM, Luby JL, Petersen SE. Amygdala Functional Connectivity Is Associated With Emotion Regulation and Amygdala Reactivity in 4- to 6-Year-Olds. J Am Acad Child Adolesc Psychiatry 2021; 60:176-185. [PMID: 32119912 PMCID: PMC7483219 DOI: 10.1016/j.jaac.2020.01.024] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 01/21/2020] [Accepted: 02/24/2020] [Indexed: 10/24/2022]
Abstract
OBJECTIVE Emotion dysregulation has been suggested to be a potent risk factor for multiple psychiatric conditions. Altered amygdala-prefrontal cortex (PFC) connectivity has been consistently linked to emotion dysregulation. Recent data indicate that amygdala-PFC functional connectivity undergoes a prolonged period of development, with amygdala reactivity during early childhood potentially shaping this unfolding process. Little is known about the relationships between amygdala-PFC functional connectivity, amygdala reactivity, and emotion regulation during early childhood. This information is likely critical for understanding early emotion dysregulation as a transdiagnostic risk factor for psychopathology. The current study examined the relationships between amygdala functional connectivity, amygdala reactivity, and emotion regulation in preschoolers. METHOD A total of 66 medication-naive 4- to 6-year-olds participated in a study where resting-state functional magnetic resonance imaging (rs-fMRI) and parent-reported child emotion regulation ability data were collected. fMRI data collected during a face viewing task was also available for 24 children. RESULTS Right amygdala-medial PFC (mPFC) functional connectivity was positively associated with child emotion regulation ability and negatively associated with child negative affect and right amygdala reactivity to facial expressions of emotion. Right amygdala-mPFC functional connectivity also statistically mediated the relationship between heightened right amygdala reactivity and elevated child negative affect. CONCLUSION Study findings suggest that amygdala-mPFC functional connectivity during early childhood, and its relationships with amygdala reactivity and emotion regulation during this highly sensitive developmental period, may play an important role in early emotional development. These results inform the neurodevelopmental biology of emotion regulation and its potential relationship with risk for psychopathology.
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22
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Novel polygenic risk score as a translational tool linking depression-related changes in the corticolimbic transcriptome with neural face processing and anhedonic symptoms. Transl Psychiatry 2020; 10:410. [PMID: 33235204 PMCID: PMC7686479 DOI: 10.1038/s41398-020-01093-w] [Citation(s) in RCA: 4] [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: 07/22/2019] [Revised: 10/01/2020] [Accepted: 11/02/2020] [Indexed: 02/07/2023] Open
Abstract
Convergent data from imaging and postmortem brain transcriptome studies implicate corticolimbic circuit (CLC) dysregulation in the pathophysiology of depression. To more directly bridge these lines of work, we generated a novel transcriptome-based polygenic risk score (T-PRS), capturing subtle shifts toward depression-like gene expression patterns in key CLC regions, and mapped this T-PRS onto brain function and related depressive symptoms in a nonclinical sample of 478 young adults (225 men; age 19.79 +/- 1.24) from the Duke Neurogenetics Study. First, T-PRS was generated based on common functional SNPs shifting CLC gene expression toward a depression-like state. Next, we used multivariate partial least squares regression to map T-PRS onto whole-brain activity patterns during perceptual processing of social stimuli (i.e., human faces). For validation, we conducted a comparative analysis with a PRS summarizing depression risk variants identified by the Psychiatric Genomics Consortium (PGC-PRS). Sex was modeled as moderating factor. We showed that T-PRS was associated with widespread reductions in neural response to neutral faces in women and to emotional faces and shapes in men (multivariate p < 0.01). This female-specific reductions in neural response to neutral faces was also associated with PGC-PRS (multivariate p < 0.03). Reduced reactivity to neutral faces was further associated with increased self-reported anhedonia. We conclude that women with functional alleles mimicking the postmortem transcriptomic CLC signature of depression have blunted neural activity to social stimuli, which may be expressed as higher anhedonia.
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23
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Fateh AA, Cui Q, Duan X, Yang Y, Chen Y, Li D, He Z, Chen H. Disrupted dynamic functional connectivity in right amygdalar subregions differentiates bipolar disorder from major depressive disorder. Psychiatry Res Neuroimaging 2020; 304:111149. [PMID: 32738725 DOI: 10.1016/j.pscychresns.2020.111149] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 06/18/2020] [Accepted: 06/25/2020] [Indexed: 12/12/2022]
Abstract
Notwithstanding being the object of a growing field of clinical research, the investigation of the dynamic resting-state functional connectivity alterations in psychiatric illnesses is still in its early days. Current research on major depressive disorder (MDD) and bipolar disorder (BD) has evidenced abnormal resting-state functional connectivity (rsFC), especially in regions subserving emotional processing and regulation such as the amygdala. However, dynamic changes in functional connectivity within the amygdalar subregions in distinguishing BD and MDD has not yet been fully understood. In this paper, we aim at analyzing the patterns characterizing dynamic FC (dFC) in the right amygdala to investigate the differences between similarly depressed BD and MDD. A number of 40 BD patients, 61 MDD patients and 63 healthy controls (HCs) underwent functional magnetic resonance imaging (fMRI) at rest. Using the right-amygdala as seed region, we compared the dFC within three subdivisions, namely, laterobasal (LB), centromedial (CM) and superficial (SF) between all the groups. To do so, one-way ANOVA followed by post-hoc t-tests were employed. Compared to HCs, patients with BD had a decreased dFC between right LB and the left postcentral gyrus as well as an increased dFC between right CM and the right cerebellum.Compared to BD patients, patients with MDD showed a decreased dFC between right CM and the cerebellum and an increased dFC between right LB and the left postcentral gyrus. These findings present initial evidence that abnormal patterns of the right-amygdalar subregions shared by BD and MDD supports the differential pathophysiology of these disorders.
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Affiliation(s)
- Ahmed Ameen Fateh
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Qian Cui
- School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, China.
| | - Xujun Duan
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yang Yang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuyan Chen
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Di Li
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Zongling He
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Huafu Chen
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
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24
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Amygdala-Prefrontal Structural Connectivity Mediates the Relationship between Prenatal Depression and Behavior in Preschool Boys. J Neurosci 2020; 40:6969-6977. [PMID: 32788182 DOI: 10.1523/jneurosci.0481-20.2020] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 06/11/2020] [Accepted: 06/18/2020] [Indexed: 01/18/2023] Open
Abstract
Prenatal depression is common, underrecognized, and undertreated. It has negative consequences on child behavior and brain development, yet the relationships among prenatal depression, child behavior, and children's brain structure remain unclear. The aim of this study was to determine whether altered brain connectivity mediates relationships between prenatal maternal depressive symptoms and child behavior. This study included 54 human mother-child pairs. Mothers completed the Edinburgh Postnatal Depression Scale during the second and third trimesters of pregnancy and 3 months postpartum. Their children had diffusion MRI at age 4.1 ± 0.8 years, and children's behavior was assessed using the Child Behavior Checklist within 6 months of their MRI scan. Structural brain connectivity of the amygdala, fornix, uncinate fasciculus, and cingulum was assessed using fractional anisotropy and mean diffusivity and analyzed with maternal prenatal depressive symptoms as well as child behavior. Third trimester maternal Edinburgh Postnatal Depression Scale scores were positively associated with mean diffusivity in the amygdala-frontal tract and the cingulum, controlling for postpartum depression. Externalizing behavior had a sex interaction in the amygdala-frontal pathway; weaker connectivity (lower fractional anisotropy, higher mean diffusivity) was associated with worse behavior in boys. Amygdala-frontal connectivity mediated the relationship between third trimester depressive symptoms and child externalizing behavior in males. These findings suggest that altered brain structure is a mechanism via which prenatal depressive symptoms can impact child behavior, highlighting the importance of both recognition and intervention in prenatal depression.SIGNIFICANCE STATEMENT Understanding how prenatal maternal depression impacts child behavior is critical for appropriately treating prenatal maternal mental health problems and improving child outcomes. Here, we show white matter changes in young children exposed to maternal prenatal depressive symptoms. Children of mothers with worse depressive symptoms had weaker white matter connectivity between areas related to emotional processing. Furthermore, connectivity between the amygdala and prefrontal cortex mediated the relationship between maternal depressive symptoms and externalizing behavior in boys, showing that altered brain structure is a possible mechanism via which maternal prenatal depression impacts children's behavior. This provides important information for understanding why children of depressed mothers may be more vulnerable to depression themselves and may help shape future guidelines on maternal prenatal care.
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25
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Chen FJ, Gu CZ, Zhai N, Duan HF, Zhai AL, Zhang X. Repetitive Transcranial Magnetic Stimulation Improves Amygdale Functional Connectivity in Major Depressive Disorder. Front Psychiatry 2020; 11:732. [PMID: 32848913 PMCID: PMC7411126 DOI: 10.3389/fpsyt.2020.00732] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 07/13/2020] [Indexed: 01/10/2023] Open
Abstract
Emotional abnormality in major depressive disorder (MDD) is generally regarded to be associated with functional dysregulation in the affective network (AN). The present study examined the changes in characteristics of AN connectivity of MDD patients before and after repetitive transcranial magnetic stimulation (rTMS) treatment over the left dorsolateral prefrontal cortex, and to further assess how these connectivity changes are linked to clinical characteristics of patients. Functional connectivity (FC) in the AN defined by placing seeds in the bilateral amygdale was calculated in 20 patients with MDD before and after rTMS, and in 20 healthy controls (CN). Furthermore, a linear regression model was used to obtain correlations between FC changes and Hamilton depression scale (HAMD) changes in MDD before and after rTMS. Before rTMS, compared with CN, MDD exhibited significantly lower FC between left insula (INS.L), right superior and inferior frontal gyrus (SFG.R and IFG.R), right inferior parietal lobule (IPL.R), and amygdala, and showed an increment of FC between the bilateral precuneus and amygdala in AN. After rTMS, MDD exhibited a significant increase in FC in the INS.L, IFG.R, SFG.R, IPL.R, and a significant reduction in FC in the precuneus. Interestingly, change in FC between INS.L and left amygdala was positively correlated with change in HAMD scores before and after rTMS treatment. rTMS can enhance affective network connectivity in MDD patients, which is linked to emotional improvement. This study further suggests that the insula may be a potential target region of clinical efficacy for MDD to design rationale strategies for therapeutic trials.
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Affiliation(s)
- Fu-Jian Chen
- Medical Imaging Department,Jining Psychiatric Hospital, Jining, China
| | - Chuan-Zheng Gu
- Psychiatric Department, Jining Psychiatric Hospital, Jining, China
| | - Ning Zhai
- Medical Imaging Department, Affiliated Hospital of Jining Medical College, Jining, China
| | - Hui-Feng Duan
- Mental Diseases Prevention and Treatment Institute of Chinese PLA, No. 988 Hospital of Joint Logistic Support Force, Jiaozuo, China
| | - Ai-Ling Zhai
- Mental Rehabilitation Department, Jining Psychiatric Hospital, Jining, China
| | - Xiao Zhang
- Psychiatric Department, Jining Psychiatric Hospital, Jining, China
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26
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Whalen DJ, Gilbert KE, Kelly D, Hajcak G, Kappenman ES, Luby JL, Barch DM. Preschool-Onset Major Depressive Disorder is Characterized by Electrocortical Deficits in Processing Pleasant Emotional Pictures. JOURNAL OF ABNORMAL CHILD PSYCHOLOGY 2020; 48:91-108. [PMID: 31515716 PMCID: PMC7286427 DOI: 10.1007/s10802-019-00585-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Reductions in positive affect are a salient feature of preschool-onset major depressive disorder. Yet, little is known about the psychophysiological correlates of this blunted positive affect and whether reduced physiological responding to pleasant stimuli may differentiate depressed and healthy young children. 120 four-to-seven year old children with current depression and 63 psychiatrically healthy 4-to-7 year old children completed a simple picture-viewing task of pleasant and neutral pictures while event-related potentials (ERPs) were recorded. The early-childhood version of the Kiddie Schedule for Affective Disorders and Depression was used to establish psychiatric diagnoses. A one-way ANCOVA was used to test for group differences in response to pleasant and neutral pictures. Young children with depression showed a reduced response to pleasant vs. neutral pictures (LPP), after controlling for children's age (F(1,180) = 4.15, p = 0.04, η2 = 0.02). The LPP for the children with preschool-onset depression (M = 0.99, SE = 0.65) was significantly smaller than the LPP in the healthy group of young children (M = 3.27, SE = 0.90). This difference did not vary as a function of depression or anhedonia severity within the group with depression or the healthy children. Similar to older children and adolescents with depression, young children with depression display reductions in responsivity to pleasant stimuli as indexed by the LPP. These findings extend prior findings indicating a blunted response to pleasant stimuli in preschool- onset depression. Given the greater neuroplasticity of emotional response and regulation, these findings suggest clinical attention to emotional response to pleasure is an important target in preschool-onset depression. Clinical trial registration information: A Randomized Control Trial of PCIT-ED for Preschool Depression; http://clinicaltrials.gov/;NCT02076425.
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Affiliation(s)
- Diana J Whalen
- Department of Psychiatry, Washington University School of Medicine in St. Louis, 4444 Forest Park, Suite 2100, St. Louis, MO, 63108, USA.
| | - Kirsten E Gilbert
- Department of Psychiatry, Washington University School of Medicine in St. Louis, 4444 Forest Park, Suite 2100, St. Louis, MO, 63108, USA
| | - Danielle Kelly
- Department of Psychiatry, Washington University School of Medicine in St. Louis, 4444 Forest Park, Suite 2100, St. Louis, MO, 63108, USA
| | - Greg Hajcak
- Department of Psychology, Florida State University, Tallahassee, FL, USA
| | - Emily S Kappenman
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Joan L Luby
- Department of Psychiatry, Washington University School of Medicine in St. Louis, 4444 Forest Park, Suite 2100, St. Louis, MO, 63108, USA
| | - Deanna M Barch
- Department of Psychiatry, Washington University School of Medicine in St. Louis, 4444 Forest Park, Suite 2100, St. Louis, MO, 63108, USA
- The Program in Neuroscience, Washington University in St. Louis, St. Louis, MO, USA
- Department of Psychology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
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27
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Altered Brain Structure and Functional Connectivity Associated with Pubertal Hormones in Girls with Precocious Puberty. Neural Plast 2019; 2019:1465632. [PMID: 31933625 PMCID: PMC6942889 DOI: 10.1155/2019/1465632] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Revised: 09/25/2019] [Accepted: 11/11/2019] [Indexed: 01/07/2023] Open
Abstract
Pubertal hormones play an important role in brain and psychosocial development. However, the role of abnormal HPG axis states in altering brain function and structure remains unclear. The present study is aimed at determining whether there were significant differences in gray matter volume (GMV) and resting state (RS) functional connectivity (FC) patterns in girls with idiopathic central precocious puberty (CPP) and peripheral precocious puberty (PPP). We further explored the correlation between these differences and serum pubertal hormone levels. To assess this, we recruited 29 idiopathic CPP girls and 38 age-matched PPP girls. A gonadotropin-releasing hormone (GnRH) stimulation test was performed, and pubertal hormone levels (including luteinizing hormone (LH), follicle-stimulating hormone (FSH), estradiol (E2), prolactin, and cortisol) were assessed. All subjects underwent multimodal magnetic resonance imaging of brain structure and function. Voxel-based morphometry (VBM) analysis was paired with seed-to-voxel whole-brain RS-FC analysis to calculate the GMV and RS-FC in idiopathic CPP and PPP girls. Correlation analyses were used to assess the effects of pubertal hormones on brain regions with structural and functional differences between the groups. We found that girls with CPP exhibited decreased GMV in the left insula and left fusiform gyrus, while connectivity between the left and right insula and the right middle frontal gyrus (MFG), as well as the left fusiform gyrus and right amygdala, was reduced in girls with CPP. Furthermore, the GMV of the left insula and peak FSH levels were negatively correlated while higher basal and peak E2 levels were associated with increased bilateral insula RS-FC. These findings suggest that premature activation of the HPG axis and pubertal hormone fluctuations alter brain structure and function involved in the cognitive and emotional process in early childhood. These findings provide vital insights into the early pathophysiology of idiopathic CPP.
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28
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Lopez KC, Kandala S, Marek S, Barch DM. Development of Network Topology and Functional Connectivity of the Prefrontal Cortex. Cereb Cortex 2019; 30:2489-2505. [DOI: 10.1093/cercor/bhz255] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Accepted: 09/17/2019] [Indexed: 01/08/2023] Open
Abstract
Abstract
The prefrontal cortex (PFC) comprises distinct regions and networks that vary in their trajectories across development. Further understanding these diverging trajectories may elucidate the neural mechanisms by which distinct PFC regions contribute to cognitive maturity. In particular, it remains unclear whether PFC regions of distinct network affiliations differ in topology and their relationship to cognition. We examined 615 individuals (8–21 years) to characterize age-related effects in participation coefficient of 28 PFC regions of distinct networks, evaluating connectivity profiles of each region to understand patterns influencing topological maturity. Findings revealed that PFC regions of attention, frontoparietal, and default mode networks (DMN) displayed varying rates of decline in participation coefficient with age, characterized by stronger connectivity with each PFC’s respective network; suggesting that PFC regions largely aid network segregation. Conversely, PFC regions of the cinguloopercular/salience network increased in participation coefficient with age, marked by stronger between-network connections, suggesting that some PFC regions feature a distinctive ability to facilitate network integration. PFC topology of the DMN, in particular, predicted improvements in global cognition, including motor speed and higher order abilities. Together, these findings elucidate systematic differences in topology across PFC regions of different network affiliation, representing important neural signatures of typical brain development.
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Affiliation(s)
- Katherine C Lopez
- Department of Psychological & Brain Sciences, Washington University, St Louis, 63130 MO, USA
| | - Sridhar Kandala
- Department of Psychiatry, Washington University, St Louis, 63110 MO, USA
| | - Scott Marek
- Department of Psychiatry, Washington University, St Louis, 63110 MO, USA
| | - Deanna M Barch
- Department of Psychological & Brain Sciences, Washington University, St Louis, 63130 MO, USA
- Department of Psychiatry, Washington University, St Louis, 63110 MO, USA
- Department of Radiology, Washington University, St Louis, 63110 MO, USA
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29
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Dai L, Zhou H, Xu X, Zuo Z. Brain structural and functional changes in patients with major depressive disorder: a literature review. PeerJ 2019; 7:e8170. [PMID: 31803543 PMCID: PMC6886485 DOI: 10.7717/peerj.8170] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2019] [Accepted: 11/06/2019] [Indexed: 12/22/2022] Open
Abstract
Depression is a mental disorder characterized by low mood and anhedonia that involves abnormalities in multiple brain regions and networks. Epidemiological studies demonstrated that depression has become one of the most important diseases affecting human health and longevity. The pathogenesis of the disease has not been fully elucidated. The clinical effect of treatment is not satisfactory in many cases. Neuroimaging studies have provided rich and valuable evidence that psychological symptoms and behavioral deficits in patients with depression are closely related to structural and functional abnormalities in specific areas of the brain. There were morphological differences in several brain regions, including the frontal lobe, temporal lobe, and limbic system, in people with depression compared to healthy people. In addition, people with depression also had abnormal functional connectivity to the default mode network, the central executive network, and the salience network. These findings provide an opportunity to re-understand the biological mechanisms of depression. In the future, magnetic resonance imaging (MRI) may serve as an important auxiliary tool for psychiatrists in the process of early and accurate diagnosis of depression and finding the appropriate treatment target for each patient to optimize clinical response.
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Affiliation(s)
- Lisong Dai
- Department of Radiology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongmei Zhou
- Department of Radiology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiangyang Xu
- Department of Radiology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhentao Zuo
- State Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.,Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China.,Center for Excellence in Brain and Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China
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30
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Abstract
PURPOSE OF REVIEW We review findings related to predictors, correlates, outcomes, and treatment of preschool depression that have been published in the last 3 years. RECENT FINDINGS Preschool depression displays a chronic course through late adolescence and is associated with temperamental and personality traits, poorer physical health, and negative parenting practices. Preschool depression predicts deficits into adolescence, including social difficulties and blunted neural response to rewards. Depressed preschoolers can experience suicidal ideation and behaviors and display an accurate understanding of the finality of death. A treatment for preschool depression has now been validated that uses the parent-child relationship to enhance emotion development and reduce depressive symptoms. Preschool depression is homotypic with depression that occurs later in life. Future work elucidating mechanisms through which preschool depression develops and informs the sub-groups for which particular treatments may be most effective will have considerable implications for prevention and early intervention.
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Affiliation(s)
- Meghan Rose Donohue
- Department of Psychiatry, Washington University School of Medicine, 4444 Forest Park Avenue, Suite 2500, St. Louis, MO, 63110, USA.
| | - Diana J Whalen
- Department of Psychiatry, Washington University School of Medicine, 4444 Forest Park Avenue, Suite 2500, St. Louis, MO, 63110, USA
| | - Kirsten E Gilbert
- Department of Psychiatry, Washington University School of Medicine, 4444 Forest Park Avenue, Suite 2500, St. Louis, MO, 63110, USA
| | - Laura Hennefield
- Department of Psychiatry, Washington University School of Medicine, 4444 Forest Park Avenue, Suite 2500, St. Louis, MO, 63110, USA
| | - Deanna M Barch
- Department of Psychiatry, Washington University School of Medicine, 4444 Forest Park Avenue, Suite 2500, St. Louis, MO, 63110, USA
- Department of Psychology, Washington University, St. Louis, MO, USA
- Department of Radiology, Washington University, St. Louis, MO, USA
| | - Joan Luby
- Department of Psychiatry, Washington University School of Medicine, 4444 Forest Park Avenue, Suite 2500, St. Louis, MO, 63110, USA
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Liu K, Zhao X, Lu X, Zhu X, Chen H, Wang M, Yan W, Jing L, Deng Y, Yu L, Wu H, Wen G, Sun X, Lv Z. Effect of selective serotonin reuptake inhibitor on prefrontal-striatal connectivity is dependent on the level of TNF-α in patients with major depressive disorder. Psychol Med 2019; 49:2608-2616. [PMID: 30520409 DOI: 10.1017/s0033291718003616] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
BACKGROUND We hypothesize that the tumor necrosis factor-α (TNF-α) may play a role in disturbing the effect of selective serotonin reuptake inhibitor (SSRI) on the striatal connectivity in patients with major depressive disorder (MDD). METHODS We performed a longitudinal observation by combining resting-state functional magnetic resonance imaging (rs-fMRI) and biochemical analyses to identify the abnormal striatal connectivity in MDD patients, and to evaluate the effect of TNF-α level on these abnormal connectivities during SSRI treatment. Eighty-five rs-fMRI scans were collected from 25 MDD patients and 35 healthy controls, and the scans were repeated for all the patients before and after a 6-week SSRI treatment. Whole-brain voxel-wise functional connectivity (FC) was calculated by correlating the rs-fMRI time courses between each voxel and the striatal seeds (i.e. spherical regions placed at the striatums). The level of TNF-α in serum was evaluated by Milliplex assay. Factorial analysis was performed to assess the interaction effects of 'TNF-α × treatment' in the regions with between-group FC difference. RESULTS Compared with controls, MDD patients showed significantly higher striatal FC in the medial prefrontal cortex (MPFC) and bilateral middle/superior temporal cortices before SSRI treatment (p < 0.001, uncorrected). Moreover, a significant interaction effect of 'TNF-α × treatment' was found in MPFC-striatum FC in MDD patients (p = 0.002), and the significance remained after adjusted for age, gender, head motion, and episode of disease. CONCLUSION These findings provide evidence that treatment-related brain connectivity change is dependent on the TNF-α level in MDD patients, and the MPFC-striatum connectivities possibly serve as an important target in the brain.
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Affiliation(s)
- Kai Liu
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
- Medical Imaging Department, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiaohua Zhao
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Xiaobing Lu
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Xiaoxia Zhu
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Hui Chen
- Medical Imaging Department, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Mengmeng Wang
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Weixin Yan
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Linlin Jing
- TCM Integrated Hospital of Southern Medical University, Southern Medical University, Guangzhou, China
| | - Yanjia Deng
- Medical Imaging Department, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Lin Yu
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Huawang Wu
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Ge Wen
- Medical Imaging Department, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xuegang Sun
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
- Key Laboratory of Ministry of Education for TCM Viscera-State Theory and Applications, Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Zhiping Lv
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
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The brain-adipocyte-gut network: Linking obesity and depression subtypes. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2019; 18:1121-1144. [PMID: 30112671 DOI: 10.3758/s13415-018-0626-0] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Major depressive disorder (MDD) and obesity are dominant and inter-related health burdens. Obesity is a risk factor for MDD, and there is evidence MDD increases risk of obesity. However, description of a bidirectional relationship between obesity and MDD is misleading, as closer examination reveals distinct unidirectional relationships in MDD subtypes. MDD is frequently associated with weight loss, although obesity promotes MDD. In contrast, MDD with atypical features (MDD-AF) is characterised by subsequent weight gain and obesity. The bases of these distinct associations remain to be detailed, with conflicting findings clouding interpretation. These associations can be viewed within a systems biology framework-the psycho-immune neuroendocrine (PINE) network shared between MDD and metabolic disorders. Shared PINE subsystem perturbations may underlie increased MDD in overweight and obese people (obesity-associated depression), while obesity in MDD-AF (depression-associated obesity) involves more complex interactions between behavioural and biomolecular changes. In the former, the chronic PINE dysfunction triggering MDD is augmented by obesity-dependent dysregulation in shared networks, including inflammatory, leptin-ghrelin, neuroendocrine, and gut microbiome systems, influenced by chronic image-associated psychological stress (particularly in younger or female patients). In MDD-AF, behavioural dysregulation, including hypersensitivity to interpersonal rejection, fundamentally underpins energy imbalance (involving hyperphagia, lethargy, hypersomnia), with evolving obesity exaggerating these drivers via positive feedback (and potentially augmenting PINE disruption). In both settings, sex and age are important determinants of outcome, associated with differences in emotional versus cognitive dysregulation. A systems biology approach is recommended for further research into the pathophysiological networks underlying MDD and linking depression and obesity.
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Santamarina-Perez P, Romero S, Mendez I, Leslie SM, Packer MM, Sugranyes G, Picado M, Font E, Moreno E, Martinez E, Morer A, Romero M, Singh MK. Fronto-Limbic Connectivity as a Predictor of Improvement in Nonsuicidal Self-Injury in Adolescents Following Psychotherapy. J Child Adolesc Psychopharmacol 2019; 29:456-465. [PMID: 31225733 DOI: 10.1089/cap.2018.0152] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Objectives: Key neurobiological factors contribute to vulnerability to nonsuicidal self-injury (NSSI) among adolescents and how they respond to treatment targeted to reduce such behaviors. This study aims to examine differences in intrinsic functional connectivity between adolescents with NSSI and healthy controls (HCs) and to identify baseline connectivity markers that predict improvements in NSSI after psychotherapy. Methods: Adolescents aged 12-17 (n = 24) with repetitive NSSI along with demographically similar HCs (n = 16) underwent resting-state functional MRI scanning after which patients received up to 4 months of psychological treatment. A seed-based approach was used to examine baseline between-group differences in intrinsic functional connectivity of the amygdala and the medial prefrontal cortex (mPFC). Further analyses examined the associations between intrinsic functional connectivity at baseline and improvement in NSSI after psychological treatment. Results: Compared with HCs, adolescents with NSSI showed significantly reduced connectivity between the amygdala and the anterior cingulate cortex, subcallosal cortex, and paracingulate gyrus, as well as between the amygdala and a cluster encompassing the right planum temporale and right insula. Adolescents with NSSI, compared with HCs, also showed reduced connectivity between the mPFC and two clusters: one located in the precentral and postcentral gyri and another in the left insula. After treatment, 50% of patients reported fewer NSSI episodes compared to baseline, which was considered as improvement. Stronger negative amygdala-prefrontal connectivity was associated with greater posttreatment improvement in NSSI. Conclusions: Adolescents with NSSI may have aberrant amygdala and mPFC connectivity compared with HCs. Furthermore, stronger baseline negative amygdala-prefrontal connectivity may predict greater improvement in NSSI after psychological intervention. Given that no prior study has used resting-state functional connectivity to predict response to psychological treatment in adolescents with NSSI, replication of these findings is needed.
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Affiliation(s)
- Pilar Santamarina-Perez
- 1Department of Child and Adolescent Psychiatry and Psychology, 2017SGR88, Institute of Neurosciences, Hospital Clinic, Barcelona, Spain
| | - Soledad Romero
- 1Department of Child and Adolescent Psychiatry and Psychology, 2017SGR88, Institute of Neurosciences, Hospital Clinic, Barcelona, Spain
- 2Biomedical Research Networking Centre Consortium (CIBERSAM), Madrid, Spain
| | - Iria Mendez
- 1Department of Child and Adolescent Psychiatry and Psychology, 2017SGR88, Institute of Neurosciences, Hospital Clinic, Barcelona, Spain
| | - Sara M Leslie
- 3Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Mary M Packer
- 3Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Gisela Sugranyes
- 1Department of Child and Adolescent Psychiatry and Psychology, 2017SGR88, Institute of Neurosciences, Hospital Clinic, Barcelona, Spain
- 2Biomedical Research Networking Centre Consortium (CIBERSAM), Madrid, Spain
- 4August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Marisol Picado
- 1Department of Child and Adolescent Psychiatry and Psychology, 2017SGR88, Institute of Neurosciences, Hospital Clinic, Barcelona, Spain
| | - Elena Font
- 1Department of Child and Adolescent Psychiatry and Psychology, 2017SGR88, Institute of Neurosciences, Hospital Clinic, Barcelona, Spain
| | - Elena Moreno
- 1Department of Child and Adolescent Psychiatry and Psychology, 2017SGR88, Institute of Neurosciences, Hospital Clinic, Barcelona, Spain
| | - Esteve Martinez
- 1Department of Child and Adolescent Psychiatry and Psychology, 2017SGR88, Institute of Neurosciences, Hospital Clinic, Barcelona, Spain
| | - Astrid Morer
- 1Department of Child and Adolescent Psychiatry and Psychology, 2017SGR88, Institute of Neurosciences, Hospital Clinic, Barcelona, Spain
- 2Biomedical Research Networking Centre Consortium (CIBERSAM), Madrid, Spain
- 4August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Miguel Romero
- 1Department of Child and Adolescent Psychiatry and Psychology, 2017SGR88, Institute of Neurosciences, Hospital Clinic, Barcelona, Spain
| | - Manpreet K Singh
- 3Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
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Aktar E, Qu J, Lawrence PJ, Tollenaar MS, Elzinga BM, Bögels SM. Fetal and Infant Outcomes in the Offspring of Parents With Perinatal Mental Disorders: Earliest Influences. Front Psychiatry 2019; 10:391. [PMID: 31316398 PMCID: PMC6610252 DOI: 10.3389/fpsyt.2019.00391] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Accepted: 05/17/2019] [Indexed: 12/16/2022] Open
Abstract
Mental illness is highly prevalent and runs in families. Mental disorders are considered to enhance the risk for the development of psychopathology in the offspring. This heightened risk is related to the separate and joint effects of inherited genetic vulnerabilities for psychopathology and environmental influences. The early years of life are suggested to be a key developmental phase in the intergenerational psychopathology transmission. Available evidence supports the idea that early exposure to parental psychopathology, during the pregnancy and first postpartum year, may be related to child psychological functioning beyond the postpartum period, up to adulthood years. This not only highlights the importance of intervening early to break the chain of intergenerational transmission of psychopathology but also raises the question of whether early interventions targeting parental mental disorders in this period may alleviate these prolonged adverse effects in the infant offspring. The current article focuses on the specific risk of psychopathology conveyed from mentally ill parents to the offspring during the pregnancy and first postpartum year. We first present a summary of the available evidence on the associations of parental perinatal mental illness with infant psychological outcomes at the behavioral, biological, and neurophysiological levels. Next, we address the effects of early interventions and discuss whether these may mitigate the early intergenerational transmission of risk for psychopathology. The summarized evidence supports the idea that psychopathology-related changes in parents' behavior and physiology in the perinatal period are related to behavioral, biological, and neurophysiological correlates of infant psychological functioning in this period. These alterations may constitute risk for later development of child and/or adult forms of psychopathology and thus for intergenerational transmission. Targeting psychopathology or mother-infant interactions in isolation in the postnatal period may not be sufficient to improve outcomes, whereas interventions targeting both maternal psychopathology and mother-infant interactions seem promising in alleviating the risk of early transmission.
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Affiliation(s)
- Evin Aktar
- Clinical Psychology Unit, Department of Psychology, Leiden University, Leiden, Netherlands
- Leiden Institute for Brain and Cognition, Leiden University, Leiden, Netherlands
| | - Jin Qu
- Department of Psychology, Clarion University of Pennsylvania, Clarion, PA, United States
| | - Peter J Lawrence
- Centre for Innovation in Mental Health, School of Psychology, University of Southampton, Southampton, United Kingdom
| | - Marieke S Tollenaar
- Clinical Psychology Unit, Department of Psychology, Leiden University, Leiden, Netherlands
- Leiden Institute for Brain and Cognition, Leiden University, Leiden, Netherlands
| | - Bernet M Elzinga
- Clinical Psychology Unit, Department of Psychology, Leiden University, Leiden, Netherlands
- Leiden Institute for Brain and Cognition, Leiden University, Leiden, Netherlands
| | - Susan M Bögels
- Research Institute of Child Development and Education, University of Amsterdam, Amsterdam, Netherlands
- Developmental Psychology, Department of Psychology, University of Amsterdam, Amsterdam, Netherlands
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35
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Albaugh MD, Hudziak JJ, Orr C, Spechler PA, Chaarani B, Mackey S, Lepage C, Fonov V, Rioux P, Evans AC, Banaschewski T, Bokde ALW, Bromberg U, Büchel C, Quinlan EB, Desrivières S, Flor H, Grigis A, Gowland P, Heinz A, Ittermann B, Martinot JL, Martinot MLP, Nees F, Orfanos DP, Paus T, Poustka L, Millenet S, Fröhner JH, Smolka MN, Walter H, Whelan R, Schumann G, Potter AS, Garavan H. Amygdalar reactivity is associated with prefrontal cortical thickness in a large population-based sample of adolescents. PLoS One 2019; 14:e0216152. [PMID: 31048888 PMCID: PMC6497259 DOI: 10.1371/journal.pone.0216152] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Accepted: 04/15/2019] [Indexed: 11/18/2022] Open
Abstract
In structural neuroimaging studies, reduced cerebral cortical thickness in orbital and ventromedial prefrontal regions is frequently interpreted as reflecting an impaired ability to downregulate neuronal activity in the amygdalae. Unfortunately, little research has been conducted in order to test this conjecture. We examine the extent to which amygdalar reactivity is associated with cortical thickness in a population-based sample of adolescents. Data were obtained from the IMAGEN study, which includes 2,223 adolescents. While undergoing functional neuroimaging, participants passively viewed video clips of a face that started from a neutral expression and progressively turned angry, or, instead, turned to a second neutral expression. Left and right amygdala ROIs were used to extract mean BOLD signal change for the angry minus neutral face contrast for all subjects. T1-weighted images were processed through the CIVET pipeline (version 2.1.0). In variable-centered analyses, local cortical thickness was regressed against amygdalar reactivity using first and second-order linear models. In a follow-up person-centered analysis, we defined a “high reactive” group of participants based on mean amygdalar BOLD signal change for the angry minus neutral face contrast. Between-group differences in cortical thickness were examined (“high reactive” versus all other participants). A significant association was revealed between the continuous measure of amygdalar reactivity and bilateral ventromedial prefrontal cortical thickness in a second-order linear model (p < 0.05, corrected). The “high reactive” group, in comparison to all other participants, possessed reduced cortical thickness in bilateral orbital and ventromedial prefrontal cortices, bilateral anterior temporal cortices, left caudal middle temporal gyrus, and the left inferior and middle frontal gyri (p < 0.05, corrected). Results are consistent with non-human primate studies, and provide empirical support for an association between reduced prefrontal cortical thickness and amygdalar reactivity. Future research will likely benefit from investigating the degree to which psychopathology qualifies relations between prefrontal cortical structure and amygdalar reactivity.
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Affiliation(s)
- Matthew D. Albaugh
- Vermont Center for Children, Youth, and Families, Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, United States of America
- * E-mail:
| | - James. J. Hudziak
- Vermont Center for Children, Youth, and Families, Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, United States of America
| | - Catherine Orr
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, United States of America
| | - Philip A. Spechler
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, United States of America
| | - Bader Chaarani
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, United States of America
| | - Scott Mackey
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, United States of America
| | - Claude Lepage
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Vladimir Fonov
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Pierre Rioux
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Alan C. Evans
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Arun L. W. Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Uli Bromberg
- University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | | | - Erin Burke Quinlan
- Medical Research Council—Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, United Kingdom
| | - Sylvane Desrivières
- Medical Research Council—Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, United Kingdom
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Andreas Heinz
- Charité –Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charitéplatz 1, Berlin, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany [or depending on journal requirements can be: Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 “Neuroimaging & Psychiatry”, University Paris Sud, University Paris Descartes—Sorbonne Paris Cité; and Maison de Solenn, Paris, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 “Neuroimaging & Psychiatry”; University Paris Sud; University Paris Descartes; Sorbonne Universités; and AP-HP, Department of Child and AdolescentPsychiatryPitié-Salpêtrière Hospital, Paris, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | | | - Tomáš Paus
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital and Departments of Psychology and Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen, Germany
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Juliane H. Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N. Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Henrik Walter
- Charité –Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charitéplatz 1, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Ireland
| | - Gunter Schumann
- Medical Research Council—Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, United Kingdom
| | - Alexandra S. Potter
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, United States of America
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont College of Medicine, Burlington, VT, United States of America
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Shapero BG, Chai XJ, Vangel M, Biederman J, Hoover CS, Whitfield-Gabrieli S, Gabrieli JDE, Hirshfeld-Becker DR. Neural markers of depression risk predict the onset of depression. Psychiatry Res Neuroimaging 2019; 285:31-39. [PMID: 30716688 PMCID: PMC6426125 DOI: 10.1016/j.pscychresns.2019.01.006] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Revised: 01/23/2019] [Accepted: 01/24/2019] [Indexed: 12/22/2022]
Abstract
Although research highlights neural correlates of Major Depressive Disorder (MDD), it is unclear whether these correlates reflect the state of depression or a pre-existing risk factor. The current study examined whether baseline differences in brain activations, resting-state connectivity, and brain structural differences between non-symptomatic children at high- and low-risk for MDD based on familial depression prospectively predict the onset of a depressive episode or increases in depressive symptomatology. We re-assessed 44 participants (28 high-risk; 16 low-risk) who had undergone neuroimaging in a previous study 3-4 years earlier (Mean age at follow-up = 14.3 years, SD = 1.9 years; 45% females; 70% Caucasian). We investigated whether baseline brain imaging data (including an emotional face match task fMRI, resting-state fMRI and structural MRI) that differentiated the risk groups also predicted the onset of depression. Resting-state functional connectivity abnormalities in the default mode and cognitive control network that differentiated high-risk from low-risk youth at baseline predicted the onset of MDD during adolescence, after taking risk status into account. Increased functional activation to both happy and fearful faces was associated with greater decreases in self-reported depression symptoms at follow-up. This preliminary evidence could be used to identify youth at-risk for depression and inform early intervention strategies.
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Affiliation(s)
- Benjamin G Shapero
- Child Cognitive Behavioral Therapy Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA; Harvard Medical School, Boston, MA 02215, USA.
| | - Xiaoqian J Chai
- Division of Cognitive Neurology / Neuropsychology, Department of Neurology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Mark Vangel
- Harvard Medical School, Boston, MA 02215, USA; Biostatistics Center, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Joseph Biederman
- Harvard Medical School, Boston, MA 02215, USA; Pediatric Psychopharmacology Program, Department of Psychiatry, Massachusetts General Hospital, Boston MA 02114, USA
| | - Christian S Hoover
- Child Cognitive Behavioral Therapy Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Susan Whitfield-Gabrieli
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - John D E Gabrieli
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Dina R Hirshfeld-Becker
- Child Cognitive Behavioral Therapy Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA; Harvard Medical School, Boston, MA 02215, USA
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Kleinhans NM, Reilly M, Blake M, Greco G, Sweigert J, Davis GE, Velasquez F, Reitz F, Shusterman D, Dager SR. FMRI correlates of olfactory processing in typically-developing school-aged children. Psychiatry Res Neuroimaging 2019; 283:67-76. [PMID: 30554128 PMCID: PMC6455969 DOI: 10.1016/j.pscychresns.2018.11.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Revised: 11/29/2018] [Accepted: 11/30/2018] [Indexed: 12/22/2022]
Abstract
Human olfactory processing is understudied relative to other sensory modalities, despite its links to neurodevelopmental and neurodegenerative disorders. To address this limitation, we developed a fast, robust fMRI odor paradigm that is appropriate for all ages and levels of cognitive functioning. To test this approach, thirty-four typically developing children aged 7-12 underwent fMRI during brief, repeated exposure to phenylethyl alcohol, a flower-scented odor. Prior to fMRI scanning, olfactory testing (odor detection and identification) was conducted. During fMRI stimulus presentation, odorant release was synchronized to each participant's inspiratory phase to ensure participants were inhaling during the odorant exposure. Between group differences and correlations between activation and odor detection threshold scores were tested using the FMRIB Software Library. Results demonstrated that our 2-min paradigm significantly activated primary and secondary olfactory regions. In addition, a significant relationship between odor detection threshold and higher activation in the right amygdala and lower activation in the left frontal, insular, occipital, and cerebellar regions was observed, suggesting that this approach is sensitive to individual differences in olfactory processing. These findings demonstrate the feasibility of studying olfactory function in children using brain imaging techniques.
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Affiliation(s)
- Natalia M Kleinhans
- Department of Radiology, University of Washington, Seattle, WA, United States; Integrated Brain Imaging Center, University of Washington, Seattle, WA, United States; Center on Human Development and Disability, University of Washington, Seattle, WA, United States.
| | - Melissa Reilly
- Department of Radiology, University of Washington, Seattle, WA, United States
| | - Matthew Blake
- Department of Radiology, University of Washington, Seattle, WA, United States
| | - Gabriella Greco
- Department of Radiology, University of Washington, Seattle, WA, United States
| | - Julia Sweigert
- Department of Radiology, University of Washington, Seattle, WA, United States
| | - Greg E Davis
- Department of Otolaryngology, University of Washington, Seattle, WA, United States
| | - Francisco Velasquez
- Department of Radiology, University of Washington, Seattle, WA, United States
| | - Fredrick Reitz
- Center on Human Development and Disability, University of Washington, Seattle, WA, United States
| | - Dennis Shusterman
- Department of Medicine, University of California, San Francisco, San Francisco, CA, United States
| | - Stephen R Dager
- Department of Radiology, University of Washington, Seattle, WA, United States; Center on Human Development and Disability, University of Washington, Seattle, WA, United States; Department of Biomedical Engineering, University of Washington, Seattle, WA, United States
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Kertz SJ, Petersen DR, Stevens KT. Cognitive and attentional vulnerability to depression in youth: A review. Clin Psychol Rev 2019; 71:63-77. [PMID: 30732975 DOI: 10.1016/j.cpr.2019.01.004] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2017] [Revised: 01/08/2019] [Accepted: 01/22/2019] [Indexed: 12/14/2022]
Abstract
Although depressive disorders are among the most common disorders in youth, highly efficacious treatments for childhood affective disorders are lacking. There is significant need to better understand the factors that contribute to the development and maintenance of depression in youth so that treatments can be targeted at optimal mechanisms. The aim of the current paper was to synthesize research on cognitive and neurobiological factors associated with youth depression, guided by De Raedt and Koster's model (2010) for vulnerability to depression in adults. Consistent with model predictions, there is evidence that attentional impairments are greatest in the context of negative information, relative to positive or neutral information, and some evidence that attentional deficits are associated with rumination in depressed youth. However, we found little evidence for the model's assumption that attentional bias is an etiological and maintenance factor for depression. There are several other model predictions that require additional study as current data are lacking. Overall, De Raedt and Koster's (2010) integrative cognitive and biological framework has tremendous potential to move the field forward in understanding the development of depression in youth. Additional longitudinal studies incorporating measures across biological and cognitive levels of analysis are needed.
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Affiliation(s)
- Sarah J Kertz
- Southern Illinois University, Carbondale, United States.
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Wu F, Tu Z, Sun J, Geng H, Zhou Y, Jiang X, Li H, Kong L. Abnormal Functional and Structural Connectivity of Amygdala-Prefrontal Circuit in First-Episode Adolescent Depression: A Combined fMRI and DTI Study. Front Psychiatry 2019; 10:983. [PMID: 32116814 PMCID: PMC7013238 DOI: 10.3389/fpsyt.2019.00983] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Accepted: 12/11/2019] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Abnormalities of functional and structural connectivity in the amygdala-prefrontal circuit which involved with emotion processing have been implicated in adults with major depressive disorder (MDD). Adolescent MDD may have severer dysfunction of emotion processing than adult MDD. In this study, we used resting-state functional magnetic resonance imaging (rs-fMRI) and diffusion tensor imaging (DTI) to examine the potential functional and structural connectivity abnormalities within amygdala-prefrontal circuit in first-episode medication-naïve adolescents with MDD. METHODS Rs-fMRI and DTI data were acquired from 36 first-episode medication-naïve MDD adolescents and 37 healthy controls (HC). Functional connectivity between amygdala and the prefrontal cortex (PFC) and fractional anisotropy (FA) values of the uncinate fasciculus (UF) which connecting amygdala and PFC were compared between the MDD and HC groups. The correlation between the FA value of UF and the strength of the functional connectivity in the PFC showing significant differences between the two groups was identified. RESULTS Compared with the HC group, decreased functional connectivity between left amygdala and left ventral PFC was detected in the adolescent MDD group. FA values were significant lower in the left UF within the adolescent MDD group compared to the HC group. There was no significant correlation between the UF and FA, and the strength of functional connectivity within the adolescent MDD group. CONCLUSIONS First-episode medication-naïve adolescent MDD showed decreased functional and structural connectivity in the amygdala-prefrontal circuit. These findings suggest that both functional and structural abnormalities of the amygdala-prefrontal circuit may present in the early onset of adolescent MDD and play an important role in the neuropathophysiology of adolescent MDD.
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Affiliation(s)
- Feng Wu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Zhaoyuan Tu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Jiaze Sun
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Haiyang Geng
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Yifang Zhou
- Department of Gerontology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Xiaowei Jiang
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China.,Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Huizi Li
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Lingtao Kong
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
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40
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Luby JL, Barch DM, Whalen D, Tillman R, Freedland KE. A Randomized Controlled Trial of Parent-Child Psychotherapy Targeting Emotion Development for Early Childhood Depression. Am J Psychiatry 2018; 175:1102-1110. [PMID: 29921144 PMCID: PMC6309340 DOI: 10.1176/appi.ajp.2018.18030321] [Citation(s) in RCA: 73] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
OBJECTIVE Clinical depression in children as young as age 3 has been validated, and prevalence rates are similar to the school-age disorder. Homotypic continuity between early and later childhood depression has been observed, with alterations in brain function and structure similar to those reported in depressed adults. These findings highlight the importance of identifying and treating depression as early as developmentally possible, given the relative treatment resistance and small effect sizes for treatments later in life. The authors conducted a randomized controlled trial of a dyadic parent-child psycho-therapy for early childhood depression that focuses on enhancing the child's emotional competence and emotion regulation. METHOD A modified version of the empirically tested parent-child interaction therapy with a novel "emotion development" module (PCIT-ED) was compared with a waiting list condition in a randomized controlled trial in 229 parent-child dyads with children 3-6.11 years of age. Both study arms lasted 18 weeks. RESULTS Children in the PCIT-ED group had lower rates of depression (primary outcome), lower depression severity, and lower impairment compared with those in the waiting list condition (Cohen's d values, >1.0). Measures of child emotional functioning and parenting stress and depression were significantly improved in the PCIT-ED group. CONCLUSIONS The findings from this randomized controlled trial of a parent-child psychotherapy for early childhood depression suggest that earlier identification and intervention in this chronic and relapsing disorder represents a key new pathway for more effective treatment. Manualized PCIT-ED, administered by master's-level clinicians, is feasible for delivery in community health settings.
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Affiliation(s)
- Joan L. Luby
- From the Department of Psychiatry, the Department of Radiology, and the Department of Psychological and Brain Sciences, Washington University in St. Louis
| | - Deanna M. Barch
- From the Department of Psychiatry, the Department of Radiology, and the Department of Psychological and Brain Sciences, Washington University in St. Louis
| | - Diana Whalen
- From the Department of Psychiatry, the Department of Radiology, and the Department of Psychological and Brain Sciences, Washington University in St. Louis
| | - Rebecca Tillman
- From the Department of Psychiatry, the Department of Radiology, and the Department of Psychological and Brain Sciences, Washington University in St. Louis
| | - Kenneth E. Freedland
- From the Department of Psychiatry, the Department of Radiology, and the Department of Psychological and Brain Sciences, Washington University in St. Louis
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41
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Singh MK, Leslie SM, Packer MM, Weisman EF, Gotlib IH. Limbic Intrinsic Connectivity in Depressed and High-Risk Youth. J Am Acad Child Adolesc Psychiatry 2018; 57:775-785.e3. [PMID: 30274652 DOI: 10.1016/j.jaac.2018.06.017] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Revised: 05/31/2018] [Accepted: 06/21/2018] [Indexed: 01/07/2023]
Abstract
OBJECTIVE Depression runs in families and has been associated with dysfunctional limbic connectivity. Whether aberrant limbic connectivity is a risk factor for or a consequence of depression is unclear. To examine this question, we compared resting state functional connectivity (RSFC) in youth with depressive disorders (DEP), healthy offspring of parents with depression (DEP-risk), and healthy comparison (HC) youth. METHOD Magnetic resonance imaging at rest was acquired from 119 youth, aged 8 to 17 years (DEP, n = 41, DEP-risk, n = 39, and HC, n = 39) and analyzed using seed-based RSFC in bilateral amygdala and nucleus accumbens (NAcc), covarying for age, IQ, and sex. RESULTS We found distinct risk- and disorder-specific patterns of RSFC across groups. DEP-risk and DEP youth shared reduced negative amygdala-right frontal cortex RSFC and reduced positive amygdala-lingual gyrus RSFC compared to HC youth (p < .001). DEP-risk youth had weaker negative amygdala-precuneus RSFC compared to DEP and HC youth (p < .001), suggesting a resilience marker for depression. In contrast, DEP youth had increased positive NAcc-left frontal cortex RSFC and reduced positive NAcc-insula RSFC compared to DEP-risk and HC youth (p < .001), suggestive of disorder-specific features of depression. Greater depression severity was correlated with disorder-specific amygdala and NAcc RSFC (p < .05). CONCLUSION RSFC in the amygdala and NAcc may represent selective disorder- and risk-specific markers in youth with, and at familial risk for, depression. Longitudinal studies are needed to determine whether these patterns predict long-term clinical outcomes.
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Gaffrey MS, Tillman R, Barch D, Luby JL. Continuity and stability of preschool depression from childhood through adolescence and following the onset of puberty. Compr Psychiatry 2018; 86:39-46. [PMID: 30077052 PMCID: PMC6842566 DOI: 10.1016/j.comppsych.2018.07.010] [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: 04/09/2018] [Revised: 07/16/2018] [Accepted: 07/21/2018] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND A growing body of research now supports the validity, clinical significance, and long-term negative impact of depression occurring during the preschool period. However, the prospective continuity of depressive symptoms and risk for major depressive disorder (MDD) from childhood through adolescence for preschoolers experiencing this highly impairing disorder remains unexplored. Such information is likely to be critical for understanding the developmental continuity of preschool depression and whether it continues to be a salient risk factor for an MDD diagnosis following the transition into adolescence and the onset of biological changes associated with it (i.e., puberty). METHODS Subjects were participants in the Preschool Depression Study conducted at the Early Emotional Development Program at Washington University School of Medicine in St. Louis. Subjects and their parents completed baseline assessments that included comprehensive measures of psychopathology and development at baseline and up to 9 follow-up assessments between 2003 and 2017. N = 279 subjects had diagnostic and clinical data available for the preschool period and the early pubertal and/or later pubertal periods and were included in the analyses. There were N = 275 subjects assessed during the early pubertal period and N = 184 subjects assessed during the later pubertal period. RESULTS Preschool depression was a highly salient predictor of prepubertal and mid-to-post pubertal MDD. Across all modeled time points children with a history of preschool depression continued to demonstrate elevated levels of depressive symptoms from childhood through adolescence, suggesting a heightened trajectory of depressive symptoms relative to their same age peers. CONCLUSION Findings from the current study suggest that children with a history of preschool depression follow a trajectory of depression severity elevated relative to their same age peers from childhood through adolescence but with a similar shape over time. They also support the homotypic continuity of preschool depression into adolescence and the onset of puberty.
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Affiliation(s)
- Michael S. Gaffrey
- Washington University, Department of Psychiatry, Saint Louis, Missouri, Duke University,Washington University, Department of Psychology and Neuroscience, Durham, North Carolina
| | - Rebecca Tillman
- Washington University, Department of Psychiatry, Saint Louis, Missouri, Duke University
| | - Deanna Barch
- Washington University, Department of Psychiatry, Saint Louis, Missouri, Duke University,Washington University, Department of Psychological and Brain Sciences, Saint Louis, Missouri, Duke University
| | - Joan L. Luby
- Washington University, Department of Psychiatry, Saint Louis, Missouri, Duke University
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43
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Kazemi R, Rostami R, Khomami S, Baghdadi G, Rezaei M, Hata M, Aoki Y, Ishii R, Iwase M, Fitzgerald PB. Bilateral Transcranial Magnetic Stimulation on DLPFC Changes Resting State Networks and Cognitive Function in Patients With Bipolar Depression. Front Hum Neurosci 2018; 12:356. [PMID: 30233346 PMCID: PMC6135217 DOI: 10.3389/fnhum.2018.00356] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Accepted: 08/20/2018] [Indexed: 01/13/2023] Open
Abstract
Introduction: Bipolar patients have abnormalities in cognitive functions and emotional processing. Two resting state networks (RSNs), the default mode network (DMN) and the sensorimotor network (SMN), play a decisive role in these two functions. Dorsolateral prefrontal cortex (DLPFC) is one of the main areas in the central executive network (CEN), which is linked to the activities of each of the two networks. Studies have found DLPFC abnormalities in both hemispheres of patients with bipolar depression. We hypothesized that the bilateral repetitive transcranial magnetic stimulation (rTMS) of DLPFC would produce changes in the activity of both the SMN and DMN as well as relevant cognitive function in patients with bipolar depression that responded to treatment. Methods: 20 patients with bipolar depression underwent 10 sessions of 1 Hz rTMS on right DLPFC with subsequent 10 Hz rTMS on left DLPFC. Changes in electroencephalography resting networks between pre and post rTMS were evaluated utilizing low-resolution electromagnetic tomography (eLORETA). Depression symptom was assessed using the Beck Depression Inventory (BDI-II) and cognitive function was assessed by Verbal Fluency Test (VFT), Rey Auditory Verbal Learning Test (RAVLT), Stroop Test, and Wisconsin Card Sorting Test (WCST). Results: Responders to rTMS showed significantly lower DMN activity at baseline and a significant decrease in SMN connectivity after treatment. Non-responders did not significantly differ from the control group at the baseline and they showed higher activity in the SMN, visual network, and visual perception network compared to control group following treatment. Bilateral rTMS resulted in significant changes in the executive functions, verbal memory, and depression symptoms. No significant changes were observed in selective attention and verbal fluency. Conclusion: Bilateral stimulation of DLPFC, as the main node of CEN, results in changes in the activity of the SMN and consequently improves verbal memory and executive functions in patients with bipolar depression.
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Affiliation(s)
- Reza Kazemi
- Cognitive Lab, Department of Psychology, University of Tehran, Tehran, Iran.,Atieh Clinical Neuroscience Center, Tehran, Iran
| | - Reza Rostami
- Department of Psychology, University of Tehran, Tehran, Iran
| | - Sanaz Khomami
- Cognitive Lab, Department of Psychology, University of Tehran, Tehran, Iran
| | - Golnaz Baghdadi
- Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran
| | - Mehdi Rezaei
- Behavioral Sciences Research Center, Life Style Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Masahiro Hata
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Yasunori Aoki
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Ryouhei Ishii
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Masao Iwase
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Paul B Fitzgerald
- Epworth Healthcare, Epworth Clinic Camberwell, Victoria Australia and Monash Alfred Psychiatry Research Centre, Central Clinical School, Monash University, Melbourne, VIC, Australia
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44
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Hung Y, Saygin ZM, Biederman J, Hirshfeld-Becker D, Uchida M, Doehrmann O, Han M, Chai XJ, Kenworthy T, Yarmak P, Gaillard SL, Whitfield-Gabrieli S, Gabrieli JDE. Impaired Frontal-Limbic White Matter Maturation in Children at Risk for Major Depression. Cereb Cortex 2018; 27:4478-4491. [PMID: 27578495 DOI: 10.1093/cercor/bhw250] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2016] [Accepted: 07/19/2016] [Indexed: 01/01/2023] Open
Abstract
Depression is among the most common neuropsychiatric disorders. It remains unclear whether brain abnormalities associated with depression reflect the pathological state of the disease or neurobiological traits predisposing individuals to depression. Parental history of depression is a risk factor that more than triples the risk of depression. We compared white matter (WM) microstructure cross-sectionally in 40 children ages 8-14 with versus without parental history of depression (At-Risk vs. Control). There were significant differences in age-related changes of fractional anisotropy (FA) between the groups, localized in the anterior fronto-limbic WM pathways, including the anterior cingulum and the genu of the corpus callosum. Control children exhibited typical increasing FA with age, whereas At-Risk children exhibited atypical decreasing FA with age in these fronto-limbic regions. Furthermore, dorsal cingulate FA significantly correlated with depressive symptoms for At-Risk children. The results suggest maturational WM microstructure differences in mood-regulatory neurocircuitry that may contribute to neurodevelopmental risk for depression. The study provides new insights into neurodevelopmental susceptibility to depression and related disabilities that may promote early preventive intervention approaches.
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Affiliation(s)
- Yuwen Hung
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Zeynep M Saygin
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Joseph Biederman
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA.,Clinical and Research Program in Pediatric Psychopharmacology, Massachusetts General Hospital, Boston, MA 02114, USA
| | | | - Mai Uchida
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA.,Clinical and Research Program in Pediatric Psychopharmacology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Oliver Doehrmann
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Michelle Han
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Xiaoqian J Chai
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Tara Kenworthy
- Clinical and Research Program in Pediatric Psychopharmacology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Pavel Yarmak
- Psychology and Neuroscience, University of Toronto, Toronto, Canada, ON M5S 1A1
| | | | - Susan Whitfield-Gabrieli
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - John D E Gabrieli
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA.,Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA.,Institute for Medical Engineering and Science, MIT, Cambridge, MA 02139, USA
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45
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Kurth S, Riedner BA, Dean DC, O'Muircheartaigh J, Huber R, Jenni OG, Deoni SCL, LeBourgeois MK. Traveling Slow Oscillations During Sleep: A Marker of Brain Connectivity in Childhood. Sleep 2018; 40:3953857. [PMID: 28934529 DOI: 10.1093/sleep/zsx121] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Slow oscillations, a defining characteristic of the nonrapid eye movement sleep electroencephalogram (EEG), proliferate across the scalp in highly reproducible patterns. In adults, the propagation of slow oscillations is a recognized fingerprint of brain connectivity and excitability. In this study, we (1) describe for the first time maturational features of sleep slow oscillation propagation in children (n = 23; 2-13 years) using high-density (hd) EEG and (2) examine associations between sleep slow oscillatory propagation characteristics (ie, distance, traveling speed, cortical involvement) and white matter myelin microstructure as measured with multicomponent Driven Equilibrium Single Pulse Observation of T1 and T2-magnetic resonance imaging (mcDESPOT-MRI). Results showed that with increasing age, slow oscillations propagated across longer distances (average growth of 0.2 cm per year; R(21) = 0.50, p < .05), while traveling speed and cortical involvement (ie, slow oscillation expanse) remained unchanged across childhood. Cortical involvement (R(20) = 0.44) and slow oscillation speed (R(20) = -0.47; both p < .05, corrected for age) were associated with myelin content in the superior longitudinal fascicle, the largest anterior-posterior, intrahemispheric white matter connectivity tract. Furthermore, slow oscillation distance was moderately associated with whole-brain (R(21) = 0.46, p < .05) and interhemispheric myelin content, the latter represented by callosal myelin water fraction (R(21) = 0.54, p < .01, uncorrected). Thus, we demonstrate age-related changes in slow oscillation propagation distance, as well as regional associations between brain activity during sleep and the anatomical connectivity of white matter microstructure. Our findings make an important contribution to knowledge of the brain connectome using a noninvasive and novel analytic approach. These data also have implications for understanding the emergence of neurodevelopmental disorders and the role of sleep in brain maturation trajectories.
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Affiliation(s)
- Salome Kurth
- Division of Pulmonology, University Hospital Zurich, Zurich, Switzerland.,Clinical Research Priority Program Sleep and Health, University of Zurich, Zurich, Switzerland
| | - Brady A Riedner
- Center for Sleep Medicine and Sleep Research, University of Wisconsin-Madison, Madison, WI
| | - Douglas C Dean
- Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin, Madison, WI
| | | | - Reto Huber
- Child Development Center, University Children's Hospital Zurich, Zurich, Switzerland.,Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital Zurich, Zurich, Switzerland
| | - Oskar G Jenni
- Child Development Center, University Children's Hospital Zurich, Zurich, Switzerland
| | - Sean C L Deoni
- Advanced Baby Imaging Lab, Department of Pediatrics, Memorial Hospital of Rhode Island, The Warren Alpert School of Medicine of Brown University, Providence, RI
| | - Monique K LeBourgeois
- Sleep and Development Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO
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46
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Lopez KC, Luby JL, Belden AC, Barch DM. Emotion dysregulation and functional connectivity in children with and without a history of major depressive disorder. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2018; 18:232-248. [PMID: 29524099 PMCID: PMC6383365 DOI: 10.3758/s13415-018-0564-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Recent interest has emerged in understanding the neural mechanisms by which deficits in emotion regulation (ER) early in development may relate to later depression. Corticolimbic alterations reported in emotion dysregulation and depression may be one possible link. We examined the relationships between emotion dysregulation in school age, corticolimbic resting-state functional connectivity (rs-FC) in preadolescence, and depressive symptoms in adolescence. Participants were 143 children from a longitudinal preschool onset depression study who completed the Children Sadness Management Scale (CSMS; measuring ER), Child Depression Inventory (CDI-C; measuring depressive symptoms), and two resting-state MRI scans. Rs-FC between four primary regions of interest (ROIs; bilateral dorsolateral prefrontal cortex [dlPFC] and amygdala) and six target ROIs thought to contribute to ER were examined. Findings showed that ER in school age did not predict depressive symptoms in adolescence, but did predict preadolescent increases in dlPFC-insula and dlPFC-ventromedial PFC rs-FC across diagnosis, as well as increased dlPFC-dorsal anterior cingulate cortex (dACC) rs-FC in children with a history of depression. Of these profiles, only dlPFC-dACC rs-FC in preadolescence predicted depressive symptoms in adolescence. However, dlPFC-dACC connectivity did not mediate the relationship between ER in school age and depressive symptoms in adolescence. Despite the absence of a direct relationship between ER and depressive symptoms and no significant rs-FC mediation, the rs-FC profiles predicted by ER are consistent with the hypothesis that emotion dysregulation is associated with abnormalities in top-down control functions. The extent to which these relationships might confer greater risk for later depression, however, remains unclear.
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Affiliation(s)
- Katherine C Lopez
- Department of Psychological & Brain Sciences, Washington University, St. Louis, MO, USA
| | - Joan L Luby
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Andy C Belden
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Deanna M Barch
- Department of Psychological & Brain Sciences, Washington University, St. Louis, MO, USA.
- Department of Psychiatry, Washington University, St. Louis, MO, USA.
- Department of Radiology, Washington University, St. Louis, MO, USA.
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47
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Klimes-Dougan B, Westlund Schreiner M, Thai M, Gunlicks-Stoessel M, Reigstad K, Cullen KR. Neural and neuroendocrine predictors of pharmacological treatment response in adolescents with depression: A preliminary study. Prog Neuropsychopharmacol Biol Psychiatry 2018; 81:194-202. [PMID: 29100972 DOI: 10.1016/j.pnpbp.2017.10.015] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Revised: 10/09/2017] [Accepted: 10/24/2017] [Indexed: 01/26/2023]
Abstract
OBJECTIVE Typically, about 30 to 50% of adolescents with depression fail to respond to evidence-based treatments, including antidepressant medications such as selective serotonin reuptake inhibitors (SSRIs). Efforts for identifying predictors and moderators of treatment response are needed to begin to address critical questions relevant to personalized care in adolescent depression. In this pilot study, we aim to identify biological predictors of response to antidepressant treatment. METHOD We used a multiple levels of analysis approach to evaluate threat system functioning (fronto-limbic system and the associated hormonal cascade) to determine if key biological indexes at baseline could predict improvement in depressive symptoms after eight weeks of antidepressant treatment in adolescents with depression. RESULTS Neural predictors of favorable treatment response included lower amygdala connectivity with left supplementary motor area and with right precentral gyrus, and greater amygdala connectivity with right central opercular cortex and Heschl's gyrus connectivity during rest. During an emotion task, neural predictors of treatment response were greater activation of the bilateral anterior cingulate cortex and left medial frontal gyrus. Additionally, different patterns of salivary cortisol obtained in the context of a modified Trier Social Stress Test were associated with those whose depressive symptoms remitted as compared to those whose symptoms persisted. CONCLUSIONS This approach shows significant promise for identifying predictors of treatment response in adolescents with depression. Future work is needed that incorporates sufficiently powered, randomized control trials to provide the basis by which both predictors and moderators of treatment response are identified. The hope is that this work will inform the development of methods that can guide clinician decision-making in assigning beneficial treatments for adolescents who are suffering from depression.
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Affiliation(s)
- Bonnie Klimes-Dougan
- Department of Psychology, University of Minnesota, Minneapolis, MN, United States.
| | - Melinda Westlund Schreiner
- Department of Psychology, University of Minnesota, Minneapolis, MN, United States; Department of Psychiatry, University of Minnesota, Minneapolis, MN, United States
| | - Michelle Thai
- Department of Psychology, University of Minnesota, Minneapolis, MN, United States
| | | | - Kristina Reigstad
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, United States
| | - Kathryn R Cullen
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, United States
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48
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Soe NN, Wen DJ, Poh JS, Chong Y, Broekman BF, Chen H, Shek LP, Tan KH, Gluckman PD, Fortier MV, Meaney MJ, Qiu A. Perinatal maternal depressive symptoms alter amygdala functional connectivity in girls. Hum Brain Mapp 2018; 39:680-690. [PMID: 29094774 PMCID: PMC6866529 DOI: 10.1002/hbm.23873] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Revised: 10/17/2017] [Accepted: 10/23/2017] [Indexed: 12/24/2022] Open
Abstract
Perinatal maternal depressive symptoms influence brain development of offspring. Such effects are particularly notable in the amygdala, a key structure involved in emotional processes. This study investigated whether the functional organization of the amygdala varies as a function of pre- and postnatal maternal depressive symptoms. The amygdala functional network was assessed using resting-state functional magnetic resonance imaging (rs-fMRI) in 128 children at age of 4.4 to 4.8 years. Maternal depressive symptoms were obtained at 26 weeks of gestation, 3 months, 1, 2, 3, and 4.5 years after delivery. Linear regression was used to examine associations between maternal depressive symptoms and the amygdala functional network. Prenatal maternal depressive symptoms were significantly associated with the functional connectivity between the amygdala and the cortico-striatal circuitry, especially the orbitofrontal cortex (OFC), insula, subgenual anterior cingulate (ACC), temporal pole, and striatum. Interestingly, greater pre- than post-natal depressive symptoms were associated with lower functional connectivity of the left amygdala with the bilateral subgenual ACC and left caudate and with lower functional connectivity of the right amygdala with the left OFC, insula, and temporal pole. These findings were only observed in girls but not in boys. Early exposure to maternal depressive symptoms influenced the functional organization of the cortico-striato-amygdala circuitry, which is intrinsic to emotional perception and regulation in girls. This suggests its roles in the transgenerational transmission of vulnerability for socio-emotional problems and depression. Moreover, this study underscored the importance of gender-dependent developmental pathways in defining the neural circuitry that underlies the risk for depression.
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Affiliation(s)
- Ni Ni Soe
- Department of Biomedical Engineering and Clinical Imaging Research CenterNational University of SingaporeSingapore
| | - Daniel J. Wen
- Department of Biomedical Engineering and Clinical Imaging Research CenterNational University of SingaporeSingapore
| | - Joann S. Poh
- Singapore Institute for Clinical SciencesSingapore
| | - Yap‐Seng Chong
- Singapore Institute for Clinical SciencesSingapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of MedicineNational University of Singapore, National University Health SystemSingapore
| | | | - Helen Chen
- Department of Psychological MedicineKKH, Duke‐National University of SingaporeSingapore
| | - Lynette P. Shek
- Singapore Institute for Clinical SciencesSingapore
- Department of Paediatrics, Yong Loo Lin School of MedicineNational University of SingaporeSingapore
- Khoo Teck Puat – National University Children's Medical Institute, National University Health SystemSingapore
| | - Kok Hian Tan
- KK Women's and Children's HospitalSingapore (KKH)
| | | | - Marielle V. Fortier
- Department of Diagnostic and Interventional ImagingKK Women's and Children's HospitalSingapore (KKH)
| | - Michael J. Meaney
- Singapore Institute for Clinical SciencesSingapore
- Ludmer Centre for Neuroinformatics and Mental HealthDouglas Mental Health University Institute, McGill UniversityCanada
- Sackler Program for Epigenetics and Psychobiology at McGill UniversityCanada
| | - Anqi Qiu
- Department of Biomedical Engineering and Clinical Imaging Research CenterNational University of SingaporeSingapore
- Singapore Institute for Clinical SciencesSingapore
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49
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Chan JSY, Wang Y, Yan JH, Chen H. Developmental implications of children's brain networks and learning. Rev Neurosci 2018; 27:713-727. [PMID: 27362958 DOI: 10.1515/revneuro-2016-0007] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2016] [Accepted: 05/14/2016] [Indexed: 11/15/2022]
Abstract
The human brain works as a synergistic system where information exchanges between functional neuronal networks. Rudimentary networks are observed in the brain during infancy. In recent years, the question of how functional networks develop and mature in children has been a hotly discussed topic. In this review, we examined the developmental characteristics of functional networks and the impacts of skill training on children's brains. We first focused on the general rules of brain network development and on the typical and atypical development of children's brain networks. After that, we highlighted the essentials of neural plasticity and the effects of learning on brain network development. We also discussed two important theoretical and practical concerns in brain network training. Finally, we concluded by presenting the significance of network training in typically and atypically developed brains.
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50
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Clark DL, Konduru N, Kemp A, Bray S, Brown EC, Goodyear B, Ramasubbu R. The impact of age of onset on amygdala intrinsic connectivity in major depression. Neuropsychiatr Dis Treat 2018; 14:343-352. [PMID: 29403280 PMCID: PMC5784751 DOI: 10.2147/ndt.s145042] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Early-onset major depressive disorder (EO-MDD), beginning during childhood and adolescence, is associated with more illness burden and a worse prognosis than adult-onset MDD (AO-MDD), but little is known about the neural features distinguishing these subgroup phenotypes. Functional abnormalities of the amygdala are central to major depressive disorder (MDD) neurobiology; therefore, we examined whether amygdala intrinsic connectivity (IC) can differentiate EO-MDD from AO-MDD in a cohort of adult MDD patients. SUBJECTS AND METHODS Twenty-one EO-MDD (age of onset ≤18 years), 31 AO-MDD patients (age of onset ≥19 years), and 19 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging (7 minutes). Amygdala seed-based resting-state functional connectivity was compared between groups. RESULTS AO-MDD patients showed loss of inverse left amygdala-left dorsolateral prefrontal cortex IC and increased inverse left amygdala-left inferior parietal IC, compared to both HCs and EO-MDD. EO-MDD showed a switch from inverse to positive IC with right dorsomedial prefrontal cortex, compared to HCs and AO-MDD. This effect was removed when we controlled for illness burden. CONCLUSION Alterations in amygdala IC with the default-mode network were specifically related to EO-MDD, whereas amygdala IC with executive cognitive control regions was preferentially disrupted in AO-MDD. Increased illness burden, an important clinical marker of EO-MDD, accounted for its specific effects on amygdala IC. Brain imaging has the potential for validation of clinical subtypes and can provide markers of prognostic value in MDD patients.
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Affiliation(s)
- Darren L Clark
- Department of Psychiatry.,Department of Clinical Neuroscience.,Mathison Centre for Mental Health Research and Education.,Hotchkiss Brain Institute, University of Calgary, Calgary
| | | | - Anne Kemp
- School of Medicine, University of Alberta, Edmonton
| | - Signe Bray
- Department of Radiology.,Department of Pediatrics, University of Calgary.,Child and Adolescent Imaging Research Program, Alberta Children's Hospital, Calgary, AB, Canada
| | - Elliot C Brown
- Department of Psychiatry.,Department of Clinical Neuroscience.,Mathison Centre for Mental Health Research and Education.,Hotchkiss Brain Institute, University of Calgary, Calgary
| | - Bradley Goodyear
- Department of Psychiatry.,Department of Clinical Neuroscience.,Hotchkiss Brain Institute, University of Calgary, Calgary.,Department of Radiology
| | - Rajamannar Ramasubbu
- Department of Psychiatry.,Department of Clinical Neuroscience.,Mathison Centre for Mental Health Research and Education.,Hotchkiss Brain Institute, University of Calgary, Calgary
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