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Lin Z, Zheng J, Wang Y, Su Z, Zhu R, Liu R, Wei Y, Zhang X, Wang F. Prediction of the efficacy of group cognitive behavioral therapy using heart rate variability based smart wearable devices: a randomized controlled study. BMC Psychiatry 2024; 24:187. [PMID: 38448895 PMCID: PMC10916138 DOI: 10.1186/s12888-024-05638-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 02/26/2024] [Indexed: 03/08/2024] Open
Abstract
BACKGROUND Depression and anxiety are common and disabling mental health problems in children and young adults. Group cognitive behavioral therapy (GCBT) is considered that an efficient and effective treatment for these significant public health concerns, but not all participants respond equally well. The aim of this study was to examine the predictive ability of heart rate variability (HRV), based on sensor data from consumer-grade wearable devices to detect GCBT effectiveness in early intervention. METHODS In a study of 33 college students with depression and anxiety, participants were randomly assigned to either GCBT group or a wait-list control (WLC) group. They wore smart wearable devices to measure their physiological activities and signals in daily life. The HRV parameters were calculated and compared between the groups. The study also assessed correlations between participants' symptoms, HRV, and GCBT outcomes. RESULTS The study showed that participants in GCBT had significant improvement in depression and anxiety symptoms after four weeks. Higher HRV was associated with greater improvement in depressive and anxious symptoms following GCBT. Additionally, HRV played a noteworthy role in determining how effective GCBT was in improve anxiety(P = 0.002) and depression(P = 0.020), and its predictive power remained significant even when considering other factors. CONCLUSION HRV may be a useful predictor of GCBT treatment efficacy. Identifying predictors of treatment response can help personalize treatment and improve outcomes for individuals with depression and anxiety. TRIAL REGISTRATION The trial has been retrospectively registered on [22/06/2023] with the registration number [NCT05913349] in the ClinicalTrials.gov. Variations in heart rate variability (HRV) have been associated with depression and anxiety, but the relationship of baseline HRV to treatment outcome in depression and anxiety is unclear. This study predicted GCBT effectiveness using HRV measured by wearable devices. 33 students with depression and anxiety participated in a trial comparing GCBT and wait-list control. HRV parameters from wearables correlated with symptoms (PHQ, PSS) and GCBT effectiveness. Baseline HRV levels are strongly associated with GCBT treatment outcomes. HRV may serve as a useful predictor of efficacy of GCBT treatment,facilitating personalized treatment approaches for individuals with depression and anxiety.
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Affiliation(s)
- Zexin Lin
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, P.R. China
- Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, P.R. China
| | - Junjie Zheng
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, P.R. China
- Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, P.R. China
| | - Yang Wang
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, P.R. China
- Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, P.R. China
| | - Zhao Su
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Rongxin Zhu
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, P.R. China
- Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, P.R. China
| | - Rongxun Liu
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, P.R. China
- Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, P.R. China
- Henan Key Laboratory of Immunology and Targeted Drugs, School of Laboratory Medicine, Xinxiang Medical University, Xinxiang, P.R. China
| | - Yange Wei
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, P.R. China
- Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, P.R. China
- Department of Psychiatry, The Second Affiliated Hospital of Xinxiang Medical University, Henan Mental Hospital, Xinxiang, Henan, China
| | - Xizhe Zhang
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu, China.
| | - Fei Wang
- Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, P.R. China.
- Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, P.R. China.
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Tse NY, Ratheesh A, Ganesan S, Zalesky A, Cash RFH. Functional dysconnectivity in youth depression: Systematic review, meta-analysis, and network-based integration. Neurosci Biobehav Rev 2023; 153:105394. [PMID: 37739327 DOI: 10.1016/j.neubiorev.2023.105394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 08/11/2023] [Accepted: 09/16/2023] [Indexed: 09/24/2023]
Abstract
Youth depression has been associated with heterogenous patterns of aberrant brain connectivity. To make sense of these divergent findings, we conducted a systematic review encompassing 19 resting-state fMRI seed-to-whole-brain studies (1400 participants, comprising 795 youths with major depression and 605 matched healthy controls). We incorporated separate meta-analyses of connectivity abnormalities across the levels of the most commonly seeded brain networks (default-mode and limbic networks) and, based on recent additions to the literature, an updated meta-analysis of amygdala dysconnectivity in youth depression. Our findings indicated broad and distributed findings at an anatomical level, which could not be captured by conventional meta-analyses in terms of spatial convergence. However, we were able to parse the complexity of region-to-region dysconnectivity by considering constituent regions as components of distributed canonical brain networks. This integration revealed dysconnectivity centred on central executive, default mode, salience, and limbic networks, converging with findings from the adult depression literature and suggesting similar neurobiological underpinnings of youth and adult depression.
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Affiliation(s)
- Nga Yan Tse
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, Australia.
| | - Aswin Ratheesh
- Orygen, Melbourne, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
| | - Saampras Ganesan
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, Australia; Department of Biomedical Engineering, Faculty of Engineering and Information Technology, The University of Melbourne, Melbourne, Australia
| | - Andrew Zalesky
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, Australia; Department of Biomedical Engineering, Faculty of Engineering and Information Technology, The University of Melbourne, Melbourne, Australia
| | - Robin F H Cash
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, Australia; Department of Biomedical Engineering, Faculty of Engineering and Information Technology, The University of Melbourne, Melbourne, Australia
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Long Z, Chen D, Lei X. Enhanced rich club connectivity in mild or moderate depression after nonpharmacological treatment: A preliminary study. Brain Behav 2023; 13:e3198. [PMID: 37680015 PMCID: PMC10570500 DOI: 10.1002/brb3.3198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 07/14/2023] [Accepted: 07/21/2023] [Indexed: 09/09/2023] Open
Abstract
INTRODUCTION It has been suggested that the rich club organization in major depressive disorder (MDD) was altered. However, it remained unclear whether the rich club organization could be served as a biomarker that predicted the improvement of clinical symptoms in MDD. METHODS The current study included 29 mild or moderate patients with MDD, who were grouped into a treatment group (receiving cognitive behavioral therapy or real-time fMRI feedback treatment) and a no-treatment group. Resting-state MRI scans were obtained for all participants. Graph theory was employed to investigate the treatment-related changes in network properties and rich club organization. RESULTS We found that patients in the treatment group had decreased depressive symptom scores and enhanced rich club connectivity following the nonpharmacological treatment. Moreover, the changes in rich club connectivity were significantly correlated with the changes in depressive symptom scores. In addition, the nonpharmacological treatment on patients with MDD increased functional connectivity mainly among the salience network, default mode network, frontoparietal network, and subcortical network. Patients in the no-treatment group did not show significant changes in depressive symptom scores and rich club organization. CONCLUSIONS Those results suggested that the remission of depressive symptoms after nonpharmacological treatment in MDD patients was associated with the increased efficiency of global information processing.
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Affiliation(s)
- Zhiliang Long
- Sleep and NeuroImaging CenterFaculty of PsychologySouthwest UniversityChongqingP. R. China
- Key Laboratory of Cognition and Personality (Southwest University), Ministry of EducationChongqingP. R. China
| | - Danni Chen
- Sleep and NeuroImaging CenterFaculty of PsychologySouthwest UniversityChongqingP. R. China
- Key Laboratory of Cognition and Personality (Southwest University), Ministry of EducationChongqingP. R. China
| | - Xu Lei
- Sleep and NeuroImaging CenterFaculty of PsychologySouthwest UniversityChongqingP. R. China
- Key Laboratory of Cognition and Personality (Southwest University), Ministry of EducationChongqingP. R. China
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Chai Y, Sheline YI, Oathes DJ, Balderston NL, Rao H, Yu M. Functional connectomics in depression: insights into therapies. Trends Cogn Sci 2023; 27:814-832. [PMID: 37286432 PMCID: PMC10476530 DOI: 10.1016/j.tics.2023.05.006] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 05/09/2023] [Accepted: 05/09/2023] [Indexed: 06/09/2023]
Abstract
Depression is a common mental disorder characterized by heterogeneous cognitive and behavioral symptoms. The emerging research paradigm of functional connectomics has provided a quantitative theoretical framework and analytic tools for parsing variations in the organization and function of brain networks in depression. In this review, we first discuss recent progress in depression-associated functional connectome variations. We then discuss treatment-specific brain network outcomes in depression and propose a hypothetical model highlighting the advantages and uniqueness of each treatment in relation to the modulation of specific brain network connectivity and symptoms of depression. Finally, we look to the future promise of combining multiple treatment types in clinical practice, using multisite datasets and multimodal neuroimaging approaches, and identifying biological depression subtypes.
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Affiliation(s)
- Ya Chai
- Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China; Center for Functional Neuroimaging, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Yvette I Sheline
- Center for Neuromodulation in Depression and Stress (CNDS), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Desmond J Oathes
- Center for Neuromodulation in Depression and Stress (CNDS), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Penn Brain Science, Translation, Innovation and Modulation Center (brainSTIM), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Nicholas L Balderston
- Center for Neuromodulation in Depression and Stress (CNDS), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Hengyi Rao
- Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China; Center for Functional Neuroimaging, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Meichen Yu
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA; Indiana University Network Science Institute, Bloomington, IN, USA.
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Pagni BA, Hill E, Walsh MJM, Delaney S, Ogbeama D, Monahan L, Cook JR, Guerithault N, Dixon MV, Ballard L, Braden BB. Distinct and shared therapeutic neural mechanisms of mindfulness-based and social support stress reduction groups in adults with autism spectrum disorder. J Psychiatry Neurosci 2023; 48:E102-E114. [PMID: 36990468 PMCID: PMC10065804 DOI: 10.1503/jpn.220159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 11/16/2022] [Accepted: 12/09/2022] [Indexed: 03/31/2023] Open
Abstract
BACKGROUND Mindfulness-based stress reduction (MBSR) alleviates depression and anxiety in adults with autism spectrum disorder (ASD); however, underlying therapeutic neural mechanisms and mindfulness-specific effects have yet to be elucidated. METHODS We randomly assigned adults with ASD to MBSR or social support/education (SE). They completed questionnaires that assessed depression, anxiety, mindfulness traits, autistic traits and executive functioning abilities as well as a self-reflection functional MRI task. We used repeated-measures analysis of covariance (ANCOVA) to evaluate behavioural changes. To identify task-specific connectivity changes, we performed a generalized psychophysiological interactions (gPPI) functional connectivity (FC) analysis on regions of interest (ROIs; insula, amygdala, cingulum and prefrontal cortex [PFC]). We used Pearson correlations to explore brain-behaviour relationships. RESULTS Our final sample included 78 adults with ASD - 39 who received MBSR and 39 who received SE. Mindfulness-based stress reduction uniquely improved executive functioning abilities and increased mindfulness traits, whereas both MBSR and SE groups showed reductions in depression, anxiety and autistic traits. Decreases specific to MBSR in insula-thalamus FC were associated with anxiety reduction and increased mindfulness traits, including the trait "nonjudgment;" MBSR-specific decreases in PFC-posterior cingulate connectivity correlated with improved working memory. Both groups showed decreased amygdala-sensorimotor and medial-lateral PFC connectivity, which corresponded with reduced depression. LIMITATIONS Larger sample sizes and neuropsychological evaluations are needed to replicate and extend these findings. CONCLUSION Together, our findings suggest that MBSR and SE are similarly efficacious for depression, anxiety and autistic traits, whereas MBSR produced additional salutary effects related to executive functioning and mindfulness traits. Findings from gPPI identified shared and distinct therapeutic neural mechanisms, implicating the default mode and salience networks. Our results mark an early step toward the development of personalized medicine for psychiatric symptoms in ASD and offer novel neural targets for future neurostimulation research. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov identifier NCT04017793.
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Affiliation(s)
- Broc A Pagni
- From Arizona State University, College of Health Solutions, Phoenix, AZ
| | - Ethan Hill
- From Arizona State University, College of Health Solutions, Phoenix, AZ
| | - Melissa J M Walsh
- From Arizona State University, College of Health Solutions, Phoenix, AZ
| | - Shanna Delaney
- From Arizona State University, College of Health Solutions, Phoenix, AZ
| | - Destiny Ogbeama
- From Arizona State University, College of Health Solutions, Phoenix, AZ
| | - Leanna Monahan
- From Arizona State University, College of Health Solutions, Phoenix, AZ
| | - James R Cook
- From Arizona State University, College of Health Solutions, Phoenix, AZ
| | | | - Maria V Dixon
- From Arizona State University, College of Health Solutions, Phoenix, AZ
| | - Lisa Ballard
- From Arizona State University, College of Health Solutions, Phoenix, AZ
| | - B Blair Braden
- From Arizona State University, College of Health Solutions, Phoenix, AZ
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McLean E, Cornwell MA, Bender HA, Sacks-Zimmerman A, Mandelbaum S, Koay JM, Raja N, Kohn A, Meli G, Spat-Lemus J. Innovations in Neuropsychology: Future Applications in Neurosurgical Patient Care. World Neurosurg 2023; 170:286-295. [PMID: 36782427 DOI: 10.1016/j.wneu.2022.09.103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 09/22/2022] [Indexed: 02/11/2023]
Abstract
Over the last century, collaboration between clinical neuropsychologists and neurosurgeons has advanced the state of the science in both disciplines. These advances have provided the field of neuropsychology with many opportunities for innovation in the care of patients prior to, during, and following neurosurgical intervention. Beyond giving a general overview of how present-day advances in technology are being applied in the practice of neuropsychology within a neurological surgery department, this article outlines new developments that are currently unfolding. Improvements in remote platform, computer interface, "real-time" analytics, mobile devices, and immersive virtual reality have the capacity to increase the customization, precision, and accessibility of neuropsychological services. In doing so, such innovations have the potential to improve outcomes and ameliorate health care disparities.
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Affiliation(s)
- Erin McLean
- Department of Psychology, Hofstra University, Hempstead, New York, USA; Department of Neurological Surgery, Weill Cornell Medicine, New York, New York, USA
| | - Melinda A Cornwell
- Department of Neurological Surgery, Weill Cornell Medicine, New York, New York, USA
| | - H Allison Bender
- Department of Neurological Surgery, Weill Cornell Medicine, New York, New York, USA.
| | | | - Sarah Mandelbaum
- Department of Neurological Surgery, Weill Cornell Medicine, New York, New York, USA; Department of Clinical Psychology with Health Emphasis, Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, New York, USA
| | - Jun Min Koay
- Department of Neurological Surgery, Weill Cornell Medicine, New York, New York, USA; Department of Psychiatry and Psychology, Mayo Clinic, Jacksonville, Florida, USA
| | - Noreen Raja
- Department of Neurological Surgery, Weill Cornell Medicine, New York, New York, USA; Graduate School of Applied and Professional Psychology, Rutgers University, Piscataway, New Jersey, USA
| | - Aviva Kohn
- Department of Neurological Surgery, Weill Cornell Medicine, New York, New York, USA; Department of Clinical Psychology with Health Emphasis, Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, New York, USA
| | - Gabrielle Meli
- Department of Neurological Surgery, Weill Cornell Medicine, New York, New York, USA; Department of Human Ecology, Cornell University, Ithaca, New York, USA
| | - Jessica Spat-Lemus
- Department of Neurological Surgery, Weill Cornell Medicine, New York, New York, USA
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Zangl Q, Kaiser A, Iglseder B. Psychotherapy: A tool to prevent postoperative delirium? J Perioper Pract 2023; 33:48-52. [PMID: 35225713 DOI: 10.1177/17504589211059333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The value of psychotherapy in surgical patients suffering from postoperative delirium is unclear. Options for the treatment of established postoperative delirium are few; therapy largely relies on the avoidance of postoperative delirium facilitating factors, like specific drugs and environmental factors in the perioperative setting. Established medical therapies' efficacy in terms of decreasing incidence of postoperative delirium is very low. The aim of this project is to suggest new therapeutic options in the form of cognitive behavioural therapy as a possible preventive and psychotherapeutic treatment of postoperative delirium. Life expectancy in developed countries increases worldwide and both the need for surgical treatment and the probability of postoperative delirium occurrence increase with age. Due to the necessity of addressing the individual's negative consequences of postoperative delirium and to optimise socioeconomical needs, new therapeutic options for the treatment of postoperative delirium are desperately needed.
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Affiliation(s)
- Quirin Zangl
- Department of Neuroanesthesia, Christian Doppler Hospital, Paracelsus Medical University, Salzburg, Austria
| | - Andreas Kaiser
- Department of Clinical Psychology, Christian Doppler Hospital, Paracelsus Medical University, Salzburg, Austria
| | - Bernhard Iglseder
- Department of Geriatrics, Christian Doppler Hospital, Paracelsus Medical University, Salzburg, Austria
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Martin F, Holtmann M, Legenbauer T. Better safe than sorry: Divergent error-related negativity and error positivity in shame-prone adolescents. Int J Psychophysiol 2022; 182:81-89. [DOI: 10.1016/j.ijpsycho.2022.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 10/06/2022] [Accepted: 10/07/2022] [Indexed: 11/06/2022]
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Jones JS, Goldstein SJ, Wang J, Gardus J, Yang J, Parsey RV, DeLorenzo C. Evaluation of brain structure and metabolism in currently depressed adults with a history of childhood trauma. Transl Psychiatry 2022; 12:392. [PMID: 36115855 PMCID: PMC9482635 DOI: 10.1038/s41398-022-02153-z] [Citation(s) in RCA: 2] [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: 10/18/2021] [Revised: 08/26/2022] [Accepted: 09/05/2022] [Indexed: 11/22/2022] Open
Abstract
Structural differences in the dorsolateral prefrontal cortex (DLPFC), anterior cingulate cortex (ACC), hippocampus, and amygdala were reported in adults who experienced childhood trauma; however, it is unknown whether metabolic differences accompany these structural differences. This multimodal imaging study examined structural and metabolic correlates of childhood trauma in adults with major depressive disorder (MDD). Participants with MDD completed the Childhood Trauma Questionnaire (CTQ, n = 83, n = 54 female (65.1%), age: 30.4 ± 14.1) and simultaneous positron emission tomography (PET)/magnetic resonance imaging (MRI). Structure (volume, n = 80, and cortical thickness, n = 81) was quantified from MRI using Freesurfer. Metabolism (metabolic rate of glucose uptake) was quantified from dynamic 18F-fluorodeoxyglucose (FDG)-PET images (n = 70) using Patlak graphical analysis. A linear mixed model was utilized to examine the association between structural/metabolic variables and continuous childhood trauma measures while controlling for confounding factors. Bonferroni correction was applied. Amygdala volumes were significantly inversely correlated with continuous CTQ scores. Specifically, volumes were lower by 7.44 mm3 (95% confidence interval [CI]: -12.19, -2.68) per point increase in CTQ. No significant relationship was found between thickness/metabolism and CTQ score. While longitudinal studies are required to establish causation, this study provides insight into potential consequences of, and therefore potential therapeutic targets for, childhood trauma in the prevention of MDD. This work aims to reduce heterogeneity in MDD studies by quantifying neurobiological correlates of trauma within MDD. It further provides biological targets for future interventions aimed at preventing MDD following trauma. To our knowledge, this is the first simultaneous positron emission tomography (PET) and magnetic resonance imaging (MRI) study to assess both structure and metabolism associated with childhood trauma in adults with MDD.
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Affiliation(s)
- Joshua S. Jones
- grid.16416.340000 0004 1936 9174University of Rochester, Rochester, NY USA
| | - Samantha J. Goldstein
- grid.36425.360000 0001 2216 9681Department of Psychiatry and Behavioral Science, Stony Brook University, New York, NY USA
| | - Junying Wang
- grid.36425.360000 0001 2216 9681Department of Applied Mathematics and Statistics, Stony Brook University, New York, NY USA
| | - John Gardus
- grid.36425.360000 0001 2216 9681Department of Psychiatry and Behavioral Science, Stony Brook University, New York, NY USA
| | - Jie Yang
- grid.36425.360000 0001 2216 9681Department of Family, Population & Preventive Medicine, Stony Brook University, New York, NY USA
| | - Ramin V. Parsey
- grid.36425.360000 0001 2216 9681Department of Psychiatry and Behavioral Science, Stony Brook University, New York, NY USA
| | - Christine DeLorenzo
- grid.36425.360000 0001 2216 9681Department of Psychiatry and Behavioral Science, Stony Brook University, New York, NY USA ,grid.36425.360000 0001 2216 9681Department of Biomedical Engineering, Stony Brook University, New York, NY USA
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Afzali MH, Dagher A, Bourque J, Spinney S, Conrod P. Cross-lagged Relationships Between Depressive Symptoms and Altered Default Mode Network Connectivity Over the Course of Adolescence. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022; 7:774-781. [PMID: 34929346 DOI: 10.1016/j.bpsc.2021.10.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 10/05/2021] [Accepted: 10/28/2021] [Indexed: 06/14/2023]
Abstract
BACKGROUND Although the peak onset of depressive symptoms occurs during adolescence, very few studies have directly examined depression-related changes in resting-state (RS) default mode network activity during adolescence, controlling for potential neural markers of risk. METHODS This study used data from a longitudinal adolescent cohort to investigate age-specific, persistent (i.e., lagged), and dynamic associations between RS functional connectivity within the default mode network and depressive symptoms during adolescence using a random intercept cross-lagged panel framework. The Neuroventure sample consisted of 151 adolescents ages 12-14 at study entry without any neurological illness who were assessed three times during a 5-year follow-up with 97% follow-up across the three assessments. Depressive symptoms were measured using the depression subscale of the Brief Symptoms Inventory. RS functional magnetic resonance imaging data were collected using a 3T Siemens Magnetom Trio scanner in a single 6-minute sequence. RESULTS After controlling for relationships between random intercepts, future depression risk was predicted by RS couplings in the perigenual anterior cingulate cortex and anterior dorsomedial prefrontal cortex (β = -0.69, p = .014) and in the left inferior parietal lobule and anterior superior frontal gyrus (β = -0.43, p = .035). Increases in depressive symptoms at previous time points significantly predicted changes in functional connectivity between the posterior cingulate cortex and the precuneus and posterior middle temporal gyrus (β = 0.37, p = .039) and between the dorsal precuneus and posterior middle temporal gyrus (β = 0.47, p = .036). CONCLUSIONS This study was able to disassociate the RS brain markers of depression from those that appear to follow early-onset depression.
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Affiliation(s)
- Mohammad H Afzali
- Department of Psychiatry, University of Montréal, Montreal, Québec, Canada
| | - Alain Dagher
- Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Josiane Bourque
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sean Spinney
- Department of Psychiatry, University of Montréal, Montreal, Québec, Canada; Department of Computer Science and Operations Research, University of Montréal, Montreal, Québec, Canada; Mila - Quebec AI Institute, Montreal, Québec, Canada
| | - Patricia Conrod
- Department of Psychiatry, University of Montréal, Montreal, Québec, Canada; Centre Hospitalier Universitaire Sainte-Justine, Research Centre, Montreal, Québec, Canada.
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Roelofs EF, Bas-Hoogendam JM, van der Werff SJA, Valstar SD, van der Wee NJA, Vermeiren RRJM. Exploring the course of adolescent anxiety and depression: associations with white matter tract microstructure. Eur Arch Psychiatry Clin Neurosci 2022; 272:849-858. [PMID: 34748029 DOI: 10.1007/s00406-021-01347-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2021] [Accepted: 10/19/2021] [Indexed: 12/14/2022]
Abstract
Cross-sectional Diffusion Tensor Imaging (DTI) studies have reported alterations in white matter (WM) microstructure in adolescents with internalizing psychopathology. Yet, longitudinal studies investigating the course of WM microstructure are lacking. This study explored WM alterations and its relation to clinical symptoms over time in adolescents with internalizing disorders. DTI scans were acquired at baseline and after three months in 22 adolescents with clinical depression and comorbid anxiety (INT), and 21 healthy peers (HC) (age: 12-18). Tract-based spatial statistics was used for three voxelwise analyses: i) changes in WM microstructure between and within the INT and HC group; ii) associations between changes in symptom severity and changes in WM microstructure within youths with INT; and iii) associations between baseline WM parameters with changes in symptom severity within youths with INT. Data did not reveal changes in WM microstructure between or within groups over three months' time nor associations between changes in WM microstructure and changes in self-reported symptoms (analyses corrected for age, gender and puberty stage). Lower baseline levels of fractional anisotropy (FA) in the right posterior corona radiata (PCR) and right cingulum were associated with a higher decrease of depressive symptoms within the INT group. Post hoc analysis of additional WM parameters in the significant FA clusters showed that higher levels of baseline mean diffusivity and radial diffusivity in the PCR were associated with a lower decrease in depressive symptoms. Baseline WM microstructure characteristics were associated with a higher decrease in depressive symptoms over time. These findings increase our understanding of neurobiological mechanisms underlying the course of internalizing disorders in adolescents.
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Affiliation(s)
- Eline F Roelofs
- Department of Child and Adolescent Psychiatry, Curium-LUMC, Leiden University Medical Center, Leiden, The Netherlands. .,Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands. .,Leiden Institute for Brain and Cognition, Leiden, The Netherlands.
| | - Janna Marie Bas-Hoogendam
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands.,Leiden Institute for Brain and Cognition, Leiden, The Netherlands.,Developmental and Educational Psychology, Institute of Psychology, Leiden University, Leiden, The Netherlands
| | - Steven J A van der Werff
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands.,Leiden Institute for Brain and Cognition, Leiden, The Netherlands
| | - Saskia D Valstar
- Department of Child and Adolescent Psychiatry, Curium-LUMC, Leiden University Medical Center, Leiden, The Netherlands
| | - Nic J A van der Wee
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands.,Leiden Institute for Brain and Cognition, Leiden, The Netherlands
| | - Robert R J M Vermeiren
- Department of Child and Adolescent Psychiatry, Curium-LUMC, Leiden University Medical Center, Leiden, The Netherlands.,Leiden Institute for Brain and Cognition, Leiden, The Netherlands
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12
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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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13
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Teng C, Liu T, Zhang N, Zhong Y, Wang C. Cognitive behavioral therapy may rehabilitate abnormally functional communication pattern among the triple-network in major depressive disorder: A follow-up study. J Affect Disord 2022; 304:28-39. [PMID: 35192866 DOI: 10.1016/j.jad.2022.02.050] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Revised: 02/12/2022] [Accepted: 02/15/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Cognitive behavioral therapy (CBT) is an established treatment for Major Depressive Disorder (MDD). MDD is characterized by imbalanced communication patterns among three networks: the central executive network (CEN), the default mode network (DMN) and the salience network (SN). The effect of CBT in restoring communications among these networks in MDD is unknown. METHODS Thirty-three patients with MDD and 27 healthy controls (HC) participated in the study. Patients were treated with CBT. Resting-state functional magnetic resonance imaging (rs-fMRI) data were obtained in patients at three stages (T0: before treatment; T1: after 6 weeks CBT; T2: after 28 weeks CBT) and in HC (only T0). Both independent component analysis (ICA) and granger causality analysis (GCA) were used to explore dynamic causal communication patterns among the three networks (CEN, DMN, SN) over a course of CBT treatment. RESULTS In the HC group, the SN had an inhibitory causal effect on CEN; the CEN and DMN had an excitatory causal effect on the SN. The SN had an inhibitory causal effect on the CEN and the DMN; only the DMN had an excitatory causal effect on the SN in the MDD patients at the T0 stage. As the CBT treatment went on for MDD patients, the CEN restored excitatory causal effect on the SN, and the SN lost inhibitory effect on the DMN. This result mimicked the one found in the HC group. Four regions, left ventromedial prefrontal cortex (lvmPFC), posterior cingulate gyrus (PCC), right inferior parietal lobule (rIPL) and right insula, were implicated in mediating network communications. LIMITATIONS The findings should be considered preliminary given the small sample sizes, and assessed only one stage in HC subjects. CONCLUSION CBT may enhance the regulatory function of the SN, and rehabilitate the imbalanced brain network communication mode in the MDD. PCC, lvmPFC and rIPL may all be potential targets of CBT.
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Affiliation(s)
- Changjun Teng
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China; Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China; Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Tianchen Liu
- School of Psychology, Nanjing Normal University, Nanjing, Jiangsu, China
| | - Ning Zhang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China; Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China; Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China; School of Psychology, Nanjing Normal University, Nanjing, Jiangsu, China
| | - Yuan Zhong
- School of Psychology, Nanjing Normal University, Nanjing, Jiangsu, China.
| | - Chun Wang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China; Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China; Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China; School of Psychology, Nanjing Normal University, Nanjing, Jiangsu, China.
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14
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Zajkowska Z. In(s) and out(s) of adolescent depression - Trajectories of development and recovery. Brain Behav Immun Health 2021; 18:100382. [PMID: 34816138 PMCID: PMC8591391 DOI: 10.1016/j.bbih.2021.100382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 10/18/2021] [Accepted: 10/22/2021] [Indexed: 10/28/2022] Open
Abstract
While the role of biological markers in understanding major depressive disorder (MDD) in adults have been studied extensively, less has been done to identify the biomarkers of MDD development and recovery in adolescence. With the majority of mental health disorders starting in adolescence, identifying biomarkers of transition and recovery from MDD early in life is critical for developing effective prevention strategies. Considering most of the child and adolescent populations come from low-and-middle-income countries (LMICs), it is vital to focus on adolescent populations in these settings. With most studies coming from high-income countries (HICs), evidence suggests that elevated morning cortisol levels including cortisol awakening response (CAR), increased peripheral inflammation and brain abnormalities such as cortico-limbic dysregulation or blunted activity in reward related regions in response to positive information are associated with MDD and being at-risk for MDD development in adolescence. We also find that some of the biological mechanisms of recovery from MDD, mainly normalisation in the cortico-limbic dysregulation, are reported following psychological therapy, suggesting shared pathways leading to MDD vulnerability and recovery. Although, only a few studies include adolescent populations. Understanding molecular mechanisms through which psychological interventions are effective, as well as molecular markers of transition to depression in individuals at-risk, are important to inform effective prevention and intervention strategies.
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Affiliation(s)
- Zuzanna Zajkowska
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
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15
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Maallo AMS, Moulton EA, Sieberg CB, Giddon DB, Borsook D, Holmes SA. A lateralized model of the pain-depression dyad. Neurosci Biobehav Rev 2021; 127:876-883. [PMID: 34090918 PMCID: PMC8289740 DOI: 10.1016/j.neubiorev.2021.06.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 06/01/2021] [Indexed: 11/25/2022]
Abstract
Chronic pain and depression are two frequently co-occurring and debilitating conditions. Even though the former is treated as a physical affliction, and the latter as a mental illness, both disorders closely share neural substrates. Here, we review the association of pain with depression, especially when symptoms are lateralized on either side of the body. We also explore the overlapping regions in the forebrain implicated in these conditions. Finally, we synthesize these findings into a model, which addresses gaps in our understanding of comorbid pain and depression. Our lateralized pain-depression dyad model suggests that individuals diagnosed with depression should be closely monitored for pain symptoms in the left hemibody. Conversely, for patients in pain, with the exception of acute pain with a known source, referrals in today's pain centers for psychological evaluation should be part of standard practice, within the framework of an interdisciplinary approach to pain treatment.
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Affiliation(s)
- Anne Margarette S Maallo
- Center for Pain and the Brain, Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Eric A Moulton
- Center for Pain and the Brain, Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Department of Ophthalmology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Christine B Sieberg
- Center for Pain and the Brain, Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Biobehavioral Pediatric Pain Lab, Department of Psychiatry & Behavioral Sciences, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Donald B Giddon
- Harvard School of Dental Medicine, Harvard University, Boston, MA, USA; Pain Management Center, Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - David Borsook
- Harvard Medical School, Boston, MA, USA; Departments of Psychiatry and Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Scott A Holmes
- Center for Pain and the Brain, Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
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16
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La Buissonniere-Ariza V, Fitzgerald K, Meoded A, Williams LL, Liu G, Goodman WK, Storch EA. Neural correlates of cognitive behavioral therapy response in youth with negative valence disorders: A systematic review of the literature. J Affect Disord 2021; 282:1288-1307. [PMID: 33601708 DOI: 10.1016/j.jad.2020.12.182] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 11/25/2020] [Accepted: 12/24/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND Cognitive-behavioral therapy (CBT) is the gold-standard psychotherapeutic treatment for pediatric negative valence disorders. However, some youths do not respond optimally to treatment, which may be due to variations in neural functioning. METHODS We systematically reviewed functional magnetic resonance imaging studies in youths with negative valence disorders to identify pre- and post-treatment neural correlates of CBT response. RESULTS A total of 21 studies were identified, of overall weak to moderate quality. The most consistent findings across negative valence disorders consisted of associations of treatment response with pre- and post-treatment task-based activation and/or functional connectivity within and between the prefrontal cortex, the medial temporal lobe, and other limbic regions. Associations of CBT response with baseline and/or post-treatment activity in the striatum, precentral and postcentral gyri, medial and posterior cingulate cortices, and parietal cortex, connectivity within and between the default-mode, cognitive control, salience, and frontoparietal networks, and metrics of large-scale brain network organization, were also reported, although less consistently. LIMITATIONS The poor quality and limited number of studies and the important heterogeneity of study designs and results considerably limit the conclusions that can be drawn from this literature. CONCLUSIONS Despite these limitations, these findings provide preliminary evidence suggesting youths presenting certain patterns of brain function may respond better to CBT, whereas others may benefit from alternative or augmented forms of treatment.
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Affiliation(s)
- Valerie La Buissonniere-Ariza
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, One Baylor Plaza - BCM350, Houston, TX, 77030, USA.
| | - Kate Fitzgerald
- Department of Psychiatry, University of Michigan, Rachel Upjohn Building, 4250 Plymouth Road, Ann Arbor, MI, 48109, USA
| | - Avner Meoded
- Edward B. Singleton Department of Radiology, Texas Children's Hospital and Baylor College of Medicine, Houston, TX, USA
| | - Laurel L Williams
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, One Baylor Plaza - BCM350, Houston, TX, 77030, USA
| | - Gary Liu
- Department of Neuroscience, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA
| | - Wayne K Goodman
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, One Baylor Plaza - BCM350, Houston, TX, 77030, USA
| | - Eric A Storch
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, One Baylor Plaza - BCM350, Houston, TX, 77030, USA
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17
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Tymofiyeva O, Gaschler R. Training-Induced Neural Plasticity in Youth: A Systematic Review of Structural and Functional MRI Studies. Front Hum Neurosci 2021; 14:497245. [PMID: 33536885 PMCID: PMC7848153 DOI: 10.3389/fnhum.2020.497245] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 12/01/2020] [Indexed: 01/17/2023] Open
Abstract
Experience-dependent neural plasticity is high in the developing brain, presenting a unique window of opportunity for training. To optimize existing training programs and develop new interventions, it is important to understand what processes take place in the developing brain during training. Here, we systematically review MRI-based evidence of training-induced neural plasticity in children and adolescents. A total of 71 articles were included in the review. Significant changes in brain activation, structure, microstructure, and structural and functional connectivity were reported with different types of trainings in the majority (87%) of the studies. Significant correlation of performance improvement with neural changes was reported in 51% of the studies. Yet, only 48% of the studies had a control condition. Overall, the review supports the hypothesized neural changes with training while at the same time charting empirical and methodological desiderata for future research.
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Affiliation(s)
- Olga Tymofiyeva
- Department of Radiology & Biomedical Imaging, University of California, San Francisco, CA, United States
- Department of Psychology, University of Hagen, Hagen, Germany
| | - Robert Gaschler
- Department of Psychology, University of Hagen, Hagen, Germany
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18
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Taylor JJ, Kurt HG, Anand A. Resting State Functional Connectivity Biomarkers of Treatment Response in Mood Disorders: A Review. Front Psychiatry 2021; 12:565136. [PMID: 33841196 PMCID: PMC8032870 DOI: 10.3389/fpsyt.2021.565136] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Accepted: 02/26/2021] [Indexed: 12/24/2022] Open
Abstract
There are currently no validated treatment biomarkers in psychiatry. Resting State Functional Connectivity (RSFC) is a popular method for investigating the neural correlates of mood disorders, but the breadth of the field makes it difficult to assess progress toward treatment response biomarkers. In this review, we followed general PRISMA guidelines to evaluate the evidence base for mood disorder treatment biomarkers across diagnoses, brain network models, and treatment modalities. We hypothesized that no treatment biomarker would be validated across these domains or with independent datasets. Results are organized, interpreted, and discussed in the context of four popular analytic techniques: (1) reference region (seed-based) analysis, (2) independent component analysis, (3) graph theory analysis, and (4) other methods. Cortico-limbic connectivity is implicated across studies, but there is no single biomarker that spans analyses or that has been replicated in multiple independent datasets. We discuss RSFC limitations and future directions in biomarker development.
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Affiliation(s)
- Joseph J Taylor
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Hatice Guncu Kurt
- Center for Behavioral Health, Cleveland Clinic, Cleveland, OH, United States
| | - Amit Anand
- Center for Behavioral Health, Cleveland Clinic, Cleveland, OH, United States
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19
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Tymofiyeva O, Zhou VX, Lee CM, Xu D, Hess CP, Yang TT. MRI Insights Into Adolescent Neurocircuitry-A Vision for the Future. Front Hum Neurosci 2020; 14:237. [PMID: 32733218 PMCID: PMC7359264 DOI: 10.3389/fnhum.2020.00237] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Accepted: 05/29/2020] [Indexed: 11/13/2022] Open
Abstract
Adolescence is the time of onset of many psychiatric disorders. Half of pediatric patients present with comorbid psychiatric disorders that complicate both their medical and psychiatric care. Currently, diagnosis and treatment decisions are based on symptoms. The field urgently needs brain-based diagnosis and personalized care. Neuroimaging can shed light on how aberrations in brain circuits might underlie psychiatric disorders and their development in adolescents. In this perspective article, we summarize recent MRI literature that provides insights into development of psychiatric disorders in adolescents. We specifically focus on studies of brain structural and functional connectivity. Ninety-six included studies demonstrate the potential of MRI to assess psychiatrically relevant constructs, diagnose psychiatric disorders, predict their development or predict response to treatment. Limitations of the included studies are discussed, and recommendations for future research are offered. We also present a vision for the role that neuroimaging may play in pediatrics and primary care in the future: a routine neuropsychological and neuropsychiatric imaging (NPPI) protocol for adolescent patients, which would include a 30-min brain scan, a quality control and safety read of the scan, followed by computer-based calculation of the structural and functional brain network metrics that can be compared to the normative data by the pediatrician. We also perform a cost-benefit analysis to support this vision and provide a roadmap of the steps required for this vision to be implemented.
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Affiliation(s)
- Olga Tymofiyeva
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Vivian X Zhou
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Chuan-Mei Lee
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.,Clinical Excellence Research Center, Stanford University, Stanford, CA, United States
| | - Duan Xu
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Christopher P Hess
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Tony T Yang
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
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20
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Moore AL, Carpenter DM, James RL, Miller TM, Moore JJ, Disbrow EA, Ledbetter CR. Neuroimaging and Neuropsychological Outcomes Following Clinician-Delivered Cognitive Training for Six Patients With Mild Brain Injury: A Multiple Case Study. Front Hum Neurosci 2020; 14:229. [PMID: 32670040 PMCID: PMC7326946 DOI: 10.3389/fnhum.2020.00229] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Accepted: 05/25/2020] [Indexed: 12/12/2022] Open
Abstract
Nearly half of all mild brain injury sufferers experience long-term cognitive impairment, so an important goal in rehabilitation is to address their multiple cognitive deficits to help them return to prior levels of functioning. Cognitive training, or the use of repeated mental exercises to enhance cognition, is one remediation method for brain injury. The primary purpose of this hypothesis-generating pilot study was to explore the statistical and clinical significance of cognitive changes and transfer of training to real-life functioning following 60 h of Brain Booster, a clinician-delivered cognitive training program, for six patients with mild traumatic brain injury (TBI) or non-traumatic acquired brain injury (ABI). The secondary purpose was to explore changes in functional connectivity and neural correlates of cognitive test gains following the training. We used a multiple case study design to document significant changes in cognitive test scores, overall IQ score, and symptom ratings; and we used magnetic resonance imaging (MRI) to explore trends in functional network connectivity and neural correlates of cognitive change. All cognitive test scores showed improvement with statistically significant changes on five of the seven measures (long-term memory, processing speed, reasoning, auditory processing, and overall IQ score). The mean change in IQ score was 20 points, from a mean of 108 to a mean of 128. Five themes emerged from the qualitative data analysis including improvements in cognition, mood, social identity, performance, and Instrumental Activities of Daily Living (IADLs). With MRI, we documented significant region-to-region changes in connectivity following cognitive training including those involving the cerebellum and cerebellar networks. We also found significant correlations between changes in IQ score and change in white matter integrity of bilateral corticospinal tracts (CST) and the left uncinate fasciculus. This study adds to the growing body of literature examining the effects of cognitive training for mild TBI and ABI, and to the collection of research on the benefits of cognitive training in general. Clinical Trial Registration: www.ClinicalTrials.gov, identifier NCT02918994.
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Affiliation(s)
- Amy Lawson Moore
- Department of Psychology, Gibson Institute of Cognitive Research, Colorado Springs, CO, United States
| | - Dick M. Carpenter
- College of Education, University of Colorado Colorado Springs, Colorado Springs, CO, United States
| | | | - Terissa Michele Miller
- Department of Psychology, Gibson Institute of Cognitive Research, Colorado Springs, CO, United States
| | - Jeffrey J. Moore
- School of Nursing, Colorado State University-Pueblo, Pueblo, CO, United States
| | - Elizabeth A. Disbrow
- Department of Neurology, Louisiana State University Health Sciences Center, Shreveport, LA, United States
- Louisiana State University Health Sciences Center, Center for Brain Health, Shreveport, LA, United States
| | - Christina R. Ledbetter
- Louisiana State University Health Sciences Center, Center for Brain Health, Shreveport, LA, United States
- Department of Neurosurgery, Louisiana State University Health Sciences Center, Shreveport, LA, United States
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21
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Zhang F, Gou J. Control of false positive rates in clusterwise fMRI inferences. J Appl Stat 2019. [DOI: 10.1080/02664763.2019.1573883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Fengqing Zhang
- Department of Psychology, Drexel University, Philadelphia, PA, USA
| | - Jiangtao Gou
- Department of Biostatistics and Bioinformatics, Fox Chase Cancer Center, Temple University Health System, Philadelphia, PA, USA
- Department of Mathematics & Statistics, Villanova University, Villanova, PA, USA
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22
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Lee J, Pavuluri MN, Kim JH, Suh S, Kim I, Lee MS. Resting-state functional connectivity in medication-naïve adolescents with major depressive disorder. Psychiatry Res Neuroimaging 2019; 288:37-43. [PMID: 31071543 DOI: 10.1016/j.pscychresns.2019.04.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/01/2019] [Revised: 04/22/2019] [Accepted: 04/28/2019] [Indexed: 02/06/2023]
Abstract
Adolescence is a vulnerable period for major depressive disorder (MDD). The aim of our study was to investigate resting-state functional connectivity (RSFC) in first-episode, medication-naïve adolescent MDD patients. Twenty-three drug-naïve adolescents diagnosed with first-episode MDD and 27 healthy participants were enrolled. Seed-to-voxel RSFC analyses were performed. The frontolimbic circuit regions of interest included the amygdala, anterior cingulate cortex, insula, and hippocampus. A correlation analysis between the RSFC and Children's Depression Inventory, Hamilton depression rating scale, and duration of episodes was performed. The adolescents with MDD exhibited the following characteristics: a lower RSFC between the right amygdala and right superior frontal gyrus; a lower RSFC between the right hippocampus and clusters including the right insula and right middle frontal gyrus; a higher RSFC between the left insula and clusters including the bilateral middle frontal gyrus, right superior frontal gyrus, and right frontal pole; and a higher RSFC between the left dorsal anterior cingulate cortex and a cluster including the left insula. Medication-naïve adolescents with depression display lower connectivity of several brain regions implicated in processing, regulation, and memory of emotions. Higher connectivity was observed in brain regions that potentially explain rumination, impaired concentration, and physiological arousal.
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Affiliation(s)
- Jeonho Lee
- Department of Child and Adolescent Psychiatry, Korea University Guro Hospital, 148, Gurodong-ro, Guro-gu, Seoul, Republic of Korea
| | | | - Ji Hyun Kim
- Department of Neurology, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Sangil Suh
- Department of Radiology, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Inseong Kim
- Siemens Health Care, Seoul, Republic of Korea
| | - Moon-Soo Lee
- Department of Child and Adolescent Psychiatry, Korea University Guro Hospital, 148, Gurodong-ro, Guro-gu, Seoul, Republic of Korea.
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23
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Stickel S, Wagels L, Wudarczyk O, Jaffee S, Habel U, Schneider F, Chechko N. Neural correlates of depression in women across the reproductive lifespan - An fMRI review. J Affect Disord 2019; 246:556-570. [PMID: 30605874 DOI: 10.1016/j.jad.2018.12.133] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Revised: 10/19/2018] [Accepted: 12/26/2018] [Indexed: 01/12/2023]
Abstract
INTRODUCTION Depressive disorders in women emerge largely during transitions in their reproductive aging cycle, which can be attributed to internal endocrine possesses that affect emotion-associated brain circuits. A review was performed to outline the neural basis in depression during female puberty, premenstrual dysphoric disorder (PMDD), postpartum depression disorder (PPD) and perimenopausal depression disorder. METHODS For this review, Web of science, Pubmed and PsychInfo databases were searched for functional brain imaging studies addressing reproductive cycle-related mood disorder. The results are summarized and discussed within a broader theoretical framework of major depression disorder (MDD) to determine how reproductive-sensitive phases contribute to affective symptoms and how they relate to the neurobiology of MDD. RESULTS Neural activation patterns of all depressive disorders related to female reproductive cycle, except for puberty depression, differ from these observed in MDD. While the PMDD results are widely divergent, the activation patterns in PPD show general hypoactivation in all respects. LIMITATIONS Systematic comparisons between the diverse depression disorders are impeded by the heterogeneous experimental protocols used on different samples, reproductive aging stages and depression types. CONCLUSION Given that hormonal fluctuations strongly influence the development of a reproductive cycle-related depression, it is possible that the hormonal and neural patterns are indicative of distinct mood disorder with phase specific biotypes, that only show behavioral similarities to MDD. Understanding the similarities and differences in the neural functioning of female cycle-related mood disorders evaluated against MDD might help elucidate the role of neuroendocrine involvement in development of depression in women, and potentially facilitate the search for prevention and treatment approaches for women' reproductive-related depressions.
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Affiliation(s)
- Susanne Stickel
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, Uniklinik RWTH Aachen University, Pauwelstraße 30, 52074 Aachen, Germany; Institute of Neuroscience and Medicine: JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Jülich, Germany.
| | - Lisa Wagels
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, Uniklinik RWTH Aachen University, Pauwelstraße 30, 52074 Aachen, Germany; Institute of Neuroscience and Medicine: JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Jülich, Germany
| | - Olga Wudarczyk
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, Uniklinik RWTH Aachen University, Pauwelstraße 30, 52074 Aachen, Germany; Institute of Neuroscience and Medicine: JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Jülich, Germany
| | - Sara Jaffee
- Department of Psychology, University of Pennsylvania, Philadelphia, USA
| | - Ute Habel
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, Uniklinik RWTH Aachen University, Pauwelstraße 30, 52074 Aachen, Germany; Institute of Neuroscience and Medicine: JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Jülich, Germany
| | - Frank Schneider
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, Uniklinik RWTH Aachen University, Pauwelstraße 30, 52074 Aachen, Germany; University Hospital, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Natalia Chechko
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, Uniklinik RWTH Aachen University, Pauwelstraße 30, 52074 Aachen, Germany; Institute of Neuroscience and Medicine: JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Jülich, Germany
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Tang S, Lu L, Zhang L, Hu X, Bu X, Li H, Hu X, Gao Y, Zeng Z, Gong Q, Huang X. Abnormal amygdala resting-state functional connectivity in adults and adolescents with major depressive disorder: A comparative meta-analysis. EBioMedicine 2018; 36:436-445. [PMID: 30316866 PMCID: PMC6197798 DOI: 10.1016/j.ebiom.2018.09.010] [Citation(s) in RCA: 99] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Revised: 09/08/2018] [Accepted: 09/08/2018] [Indexed: 02/05/2023] Open
Abstract
Background Although dysfunction of amygdala-related circuits is centrally implicated in major depressive disorder (MDD), little is known about how this dysfunction differs between adult and adolescent MDD patients. Methods Voxel-wise meta-analyses of abnormal amygdala resting-state functional connectivity (rsFC) were conducted in adult and adolescent groups separately, followed by a quantitative meta-analytic comparison of the two groups. Findings Nineteen studies that included 665 MDD patients (392 adults and 273 adolescents) and 546 controls (341 adults and 205 adolescents) were identified in the current study. Adult-specific abnormal amygdala rsFC in MDD patients compared to that in controls was located mainly within the affective network, including increased connectivity with the right hippocampus/parahippocampus and bilateral ventromedial orbitofrontal cortex and decreased connectivity with the bilateral insula and the left caudate. Adolescent MDD patients specifically demonstrated decreased amygdala rsFC within the cognitive control network encompassing the left dorsolateral prefrontal cortex and imbalanced amygdala rsFC within the default mode network, which was manifested as hyperconnectivity in the right precuneus and hypoconnectivity in the right inferior temporal gyrus. Additionally, direct comparison between the two groups showed that adult patients had strengthened amygdala rsFC with the right hippocampus/parahippocampus as well as the right inferior temporal gyrus and weakened amygdala rsFC with the bilateral insula compared to that in adolescent patients. Interpretation Distinct impairments of amygdala-centered rsFC in adult and adolescent patients were related to different network dysfunctions in MDD. Adult-specific amygdala rsFC dysfunction within the affective network presumably reflects emotional dysregulation in MDD, whereas adolescent-specific amygdala rsFC abnormalities in networks involved in cognitive control might reflect the neural basis of affective cognition deficiency that is characteristic of adolescent MDD. Fund This study was supported by a grant from the National Natural Science Foundation of China (81671669) and by a Sichuan Provincial Youth Grant (2017JQ0001).
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Affiliation(s)
- Shi Tang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Lu Lu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Lianqing Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Xinyu Hu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Xuan Bu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Hailong Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Xiaoxiao Hu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Yingxue Gao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Zirui Zeng
- Department of Psychology, University of Washington, Seattle, WA, United States
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China.
| | - Xiaoqi Huang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China.
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Leming M, Su L, Chattopadhyay S, Suckling J. Normative pathways in the functional connectome. Neuroimage 2018; 184:317-334. [PMID: 30223061 DOI: 10.1016/j.neuroimage.2018.09.028] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Revised: 08/22/2018] [Accepted: 09/10/2018] [Indexed: 02/06/2023] Open
Abstract
Functional connectivity is frequently derived from fMRI data to reduce a complex image of the brain to a graph, or "functional connectome". Often shortest-path algorithms are used to characterize and compare functional connectomes. Previous work on the identification and measurement of semi-metric (shortest circuitous) pathways in the functional connectome has discovered cross-sectional differences in major depressive disorder (MDD), autism spectrum disorder (ASD), and Alzheimer's disease. However, while measurements of shortest path length have been analyzed in functional connectomes, less work has been done to investigate the composition of the pathways themselves, or whether the edges composing pathways differ between individuals. Developments in this area would help us understand how pathways might be organized in mental disorders, and if a consistent pattern can be found. Furthermore, studies in structural brain connectivity and other real-world graphs suggest that shortest pathways may not be as important in functional connectivity studies as previously assumed. In light of this, we present a novel measurement of the consistency of pathways across functional connectomes, and an algorithm for improvement by selecting the most frequently occurring "normative pathways" from the k shortest paths, instead of just the shortest path. We also look at this algorithm's effect on various graph measurements, using randomized matrix simulations to support the efficacy of this method and demonstrate our algorithm on the resting-state fMRI (rs-fMRI) of a group of 34 adolescent control participants. Additionally, a comparison of normative pathways is made with a group of 82 age-matched participants, diagnosed with MDD, and in doing so we find the normative pathways that are most disrupted. Our results, which are carried out with estimates of connectivity derived from correlation, partial correlation, and normalized mutual information connectomes, suggest disruption to the default mode, affective, and ventral attention networks. Normative pathways, especially with partial correlation, make greater use of critical anatomical pathways through the striatum, cingulum, and the cerebellum. In summary, MDD is characterized by a disruption of normative pathways of the ventral attention network, increases in alternative pathways in the frontoparietal network in MDD, and a mixture of both in the default mode network. Additionally, within- and between-groups findings depend on the estimate of connectivity.
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Affiliation(s)
- Matthew Leming
- Department of Psychiatry, University of Cambridge, Cambridge, UK.
| | - Li Su
- Department of Psychiatry, University of Cambridge, Cambridge, UK; China-UK Centre for Cognition and Ageing Research, Faculty of Psychology, Southwest University, Chongqing, China
| | | | - John Suckling
- Department of Psychiatry, University of Cambridge, Cambridge, UK
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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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27
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Han K, Martinez D, Chapman SB, Krawczyk DC. Neural correlates of reduced depressive symptoms following cognitive training for chronic traumatic brain injury. Hum Brain Mapp 2018; 39:2955-2971. [PMID: 29573026 PMCID: PMC6055759 DOI: 10.1002/hbm.24052] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Revised: 02/12/2018] [Accepted: 03/09/2018] [Indexed: 12/24/2022] Open
Abstract
Depression is the most frequent comorbid psychiatric condition among individuals with traumatic brain injury (TBI). Yet, little is known about changes in the brain associated with reduced depressive symptoms following rehabilitation for TBI. We identified whether cognitive training alleviates comorbid depressive symptoms in chronic TBI (>6 months post-injury) as a secondary effect. Further, we elucidated neural correlates of alleviated depressive symptoms following cognitive training. A total of seventy-nine individuals with chronic TBI (53 depressed and 26 non-depressed individuals, measured using the Beck Depressive Inventory [BDI]), underwent either strategy- or information-based cognitive training in a small group for 8 weeks. We measured psychological functioning scores, cortical thickness, and resting-state functional connectivity (rsFC) for these individuals before training, immediately post-training, and 3 months post-training. After confirming that changes in BDI scores were independent of training group affiliation, we identified that the depressive-symptoms group showed reductions in BDI scores over time relative to the non-depressed TBI controls (p < .01). Within the depressive-symptoms group, reduced BDI scores was associated with improvements in scores for post-traumatic stress disorder, TBI symptom awareness, and functional status (p < .00625), increases in cortical thickness in four regions within the right prefrontal cortex (pvertex < .01, pcluster <.05), and decreases in rsFC with each of these four prefrontal regions (pvertex < .01, pcluster < .0125). Overall, these findings suggest that cognitive training can reduce depressive symptoms in TBI even when the training does not directly target psychiatric symptoms. Importantly, cortical thickness and brain connectivity may offer promising neuroimaging markers of training-induced improvement in mental health status in TBI.
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Affiliation(s)
- Kihwan Han
- Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, Texas
| | - David Martinez
- Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, Texas
| | - Sandra B Chapman
- Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, Texas
| | - Daniel C Krawczyk
- Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, Texas.,Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
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Young KS, Craske MG. The Cognitive Neuroscience of Psychological Treatment Action in Depression and Anxiety. Curr Behav Neurosci Rep 2018. [DOI: 10.1007/s40473-018-0137-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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29
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Zhang F. Resting-State Functional Connectivity Abnormalities in Adolescent Depression. EBioMedicine 2017; 17:20-21. [PMID: 28284814 PMCID: PMC5360586 DOI: 10.1016/j.ebiom.2017.02.028] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Accepted: 02/28/2017] [Indexed: 11/17/2022] Open
Affiliation(s)
- Fengqing Zhang
- Drexel University, Department of Psychology, United States.
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