1
|
Zhao X, Fan Z, Yin Q, Yang J, Wu G, Tang S, Ouyang X, Liu Z, Chen X, Tao H. Aberrant white matter structural connectivity of nucleus accumbens in patients with major depressive disorder: A probabilistic fibre tracing study. J Affect Disord 2025; 381:158-165. [PMID: 40185407 DOI: 10.1016/j.jad.2025.03.182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2024] [Revised: 03/23/2025] [Accepted: 03/30/2025] [Indexed: 04/07/2025]
Abstract
BACKGROUND Extensive neuroimaging studies have established that functional abnormalities and morphological alterations in the nucleus accumbens (NAc) are implicated in major depressive disorder (MDD), but changes in its white matter structural connectivity (SC) remain unclear. We aimed to elucidate the changes in the white matter fibre connectivity of the NAc in MDD patients. METHODS This study used probabilistic fibre tracking to analyze the diffusion tensor imaging (DTI) data of 125 MDD patients and 129 healthy controls (HCs), calculating the strength of SC (sSC) from bilateral NAc to the entire brain and its correlation with depressive symptoms. RESULTS Compared to HCs, MDD exhibited increased sSC between the left NAc (L.NAc) and regions involving the left middle frontal gyrus, bilateral cingulate gyrus (CG), bilateral hippocampus, left caudate, left medial superior occipital gyrus, right globus pallidus, right superior and middle temporal gyrus, right precuneus, right insula, and right posterior parietal thalamus. Enhanced sSC was also observed between the right NAc (R.NAc) and the left temporal lobe, left posterior superior temporal sulcus (pSTS), bilateral lateral occipital cortex, left hippocampus, right putamen and right ventral occipital cortex. The sSC of L.NAc-left CG and R.NAc-left pSTS was positively correlated with HAMD scores in MDD. CONCLUSIONS Abnormal white matter connectivity of the NAc primarily affects the cortico-limbic circuit, cortico-basal ganglia circuit, and the temporal-occipital cortical regions in patients with MDD, along with the asymmetrical features of the inter-hemispheric SC related to NAc. These alteration may underlie the dysfunction of reward processing and emotion regulation in MDD.
Collapse
Affiliation(s)
- Xuan Zhao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Zebin Fan
- Department of Psychiatry, The Fifth People's Hospital of Xiangtan City, Xiangtan 411100, China
| | - Qirui Yin
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Jun Yang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Guowei Wu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Shixiong Tang
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Xuan Ouyang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Zhening Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Xudong Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Haojuan Tao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| |
Collapse
|
2
|
Rotstein NM, Cohen ZD, Welborn A, Zbozinek TD, Akre S, Jones KG, Null KE, Pontanares J, Sanchez KL, Flanagan DC, Halavi SE, Kittle E, McClay MG, Bui AAT, Narr KL, Welsh RC, Craske MG, Kuhn TP. Investigating low intensity focused ultrasound pulsation in anhedonic depression-A randomized controlled trial. Front Hum Neurosci 2025; 19:1478534. [PMID: 40196448 PMCID: PMC11973349 DOI: 10.3389/fnhum.2025.1478534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2024] [Accepted: 03/05/2025] [Indexed: 04/09/2025] Open
Abstract
Introduction Anhedonic depression is a subtype of depression characterized by deficits in reward processing. This subtype of depression is associated with higher suicide risk and longer depressive episodes, underscoring the importance of effective treatments. Anhedonia has also been found to correlate with alterations in activity in several subcortical regions, including the caudate head and nucleus accumbens. Low intensity focused ultrasound pulsation (LIFUP) is an emerging technology that enables non-invasive stimulation of these subcortical regions, which were previously only accessible with surgically-implanted electrodes. Methods This double-blinded, sham-controlled study aims to investigate the effects of LIFUP to the left caudate head and right nucleus accumbens in participants with anhedonic depression. Participants in this protocol will undergo three sessions of LIFUP over the span of 5-9 days. To investigate LIFUP-related changes, this 7-week protocol collects continuous digital phenotyping data, an array of self-report measures of depression, anhedonia, and other psychopathology, and magnetic resonance imaging (MRI) before and after the LIFUP intervention. Primary self-report outcome measures include Ecological Momentary Assessment, the Positive Valence Systems Scale, and the Patient Health Questionnaire. Primary imaging measures include magnetic resonance spectroscopy and functional MRI during reward-based tasks and at rest. Digital phenotyping data is collected with an Apple Watch and participants' personal iPhones throughout the study, and includes information about sleep, heart rate, and physical activity. Discussion This study is the first to investigate the effects of LIFUP to the caudate head or nucleus accumbens in depressed subjects. Furthermore, the data collected for this protocol covers a wide array of potentially affected modalities. As a result, this protocol will help to elucidate potential impacts of LIFUP in individuals with anhedonic depression.
Collapse
Affiliation(s)
- Natalie M. Rotstein
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Zachary D. Cohen
- Department of Psychology, University of Arizona, Tucson, AZ, United States
| | - Amelia Welborn
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Tomislav D. Zbozinek
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Samir Akre
- Medical & Imaging Informatics Group, University of California, Los Angeles, Los Angeles, CA, United States
| | - Keith G. Jones
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Kaylee E. Null
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Jillian Pontanares
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Katy L. Sanchez
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Demarko C. Flanagan
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Sabrina E. Halavi
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Evan Kittle
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Mason G. McClay
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Alex A. T. Bui
- Medical & Imaging Informatics Group, University of California, Los Angeles, Los Angeles, CA, United States
| | - Katherine L. Narr
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Robert C. Welsh
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Michelle G. Craske
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Taylor P. Kuhn
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| |
Collapse
|
3
|
Chowdhury A, Boukezzi S, Costi S, Hameed S, Jacob Y, Salas R, Iosifescu DV, Han MH, Swann A, Mathew SJ, Morris L, Murrough JW. Effects of the KCNQ (Kv7) Channel Opener Ezogabine on Resting-State Functional Connectivity of Striatal Brain Reward Regions, Depression, and Anhedonia in Major Depressive Disorder: Results From a Randomized Controlled Trial. Biol Psychiatry 2025:S0006-3223(25)01011-X. [PMID: 40049579 DOI: 10.1016/j.biopsych.2025.02.897] [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: 08/14/2024] [Revised: 02/02/2025] [Accepted: 02/25/2025] [Indexed: 03/26/2025]
Abstract
BACKGROUND Major depressive disorder (MDD) is a leading cause of disability worldwide, with available treatments often showing limited efficacy. Recent research suggests that targeting specific subtypes of depression and understanding the underlying brain mechanisms can improve treatment outcomes. This study investigates the potential of the potassium KCNQ (Kv7) channel opener ezogabine to modulate the resting-state functional connectivity (RSFC) of the brain's reward circuitry and alleviate depressive symptoms, including anhedonia, a core feature of MDD. METHODS A double-blind, randomized, placebo-controlled clinical trial in individuals with MDD ages 18 to 65 years compared daily dosing with ezogabine (n= 19) with placebo (n = 21) for 5 weeks. Functional magnetic resonance imaging assessed RSFC of the brain's key reward regions (ventral caudate, nucleus accumbens) at baseline and posttreatment. Clinical symptoms were measured using the Snaith-Hamilton Pleasure Scale (SHAPS), Montgomery-Åsberg Depression Rating Scale (MADRS), and other clinical symptom scales. RESULTS Ezogabine significantly reduced RSFC between the reward seeds and the posterior cingulate cortex (PCC)/precuneus compared with placebo, which was associated with a reduction in depression severity. Improvements in anhedonia (SHAPS) and depressive symptoms (MADRS) with ezogabine compared with placebo were also associated with decreased connectivity between the reward seeds and mid/posterior cingulate regions (midcingulate cortex, PCC, precuneus). CONCLUSIONS The findings suggest that ezogabine's antidepressant effects are mediated through modulation of striatal-mid/posterior cingulate connectivity, indicating a potential therapeutic mechanism for KCNQ-targeted drugs for MDD and anhedonia. Future studies should validate these results in larger trials.
Collapse
Affiliation(s)
- Avijit Chowdhury
- Depression and Anxiety Center for Discovery and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Sarah Boukezzi
- Depression and Anxiety Center for Discovery and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Sara Costi
- Depression and Anxiety Center for Discovery and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Psychopharmacology and Emotion Research Laboratory, Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, United Kingdom; Warneford Hospital, Oxford Health NHS Foundation Trust, Oxford, United Kingdom
| | - Sara Hameed
- Depression and Anxiety Center for Discovery and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Yael Jacob
- Depression and Anxiety Center for Discovery and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Ramiro Salas
- Mood and Anxiety Disorders Program, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas; Michael E. DeBakey VA Medical Center, Houston, Texas; Menninger Clinic, Houston, Texas
| | - Dan V Iosifescu
- Department of Psychiatry, New York University School of Medicine, New York, New York; Nathan Kline Institute for Psychiatric Research, Orangeburg, New York
| | - Ming-Hu Han
- Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Shenzhen, China; Faculty of Life and Health Sciences, Shenzhen University of Advanced Technology, Shenzhen, China; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Alan Swann
- Mood and Anxiety Disorders Program, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas
| | - Sanjay J Mathew
- Mood and Anxiety Disorders Program, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas; Michael E. DeBakey VA Medical Center, Houston, Texas
| | - Laurel Morris
- Depression and Anxiety Center for Discovery and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - James W Murrough
- Depression and Anxiety Center for Discovery and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York; VISN 2 Mental Illness Research, Education, and Clinical Center, James J. Peters VA Medical Center, Bronx, New York.
| |
Collapse
|
4
|
Lupinsky D, Nasseef MT, Parent C, Craig K, Diorio J, Zhang TY, Meaney MJ. Resting-state fMRI reveals altered functional connectivity associated with resilience and susceptibility to chronic social defeat stress in mouse brain. Mol Psychiatry 2025:10.1038/s41380-025-02897-2. [PMID: 39984680 DOI: 10.1038/s41380-025-02897-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 12/17/2024] [Accepted: 01/14/2025] [Indexed: 02/23/2025]
Abstract
Chronic stress is a causal antecedent condition for major depressive disorder and associates with altered patterns of neural connectivity. There are nevertheless important individual differences in susceptibility to chronic stress. How functional connectivity (FC) amongst interconnected, depression-related brain regions associates with resilience and susceptibility to chronic stress is largely unknown. We used resting-state functional magnetic resonance imaging (rs-fMRI) to examine FC between established depression-related regions in susceptible (SUS) and resilient (RES) adult mice following chronic social defeat stress (CSDS). Seed-seed FC analysis revealed that the ventral dentate gyrus (vDG) exhibited the greatest number of FC group differences with other stress-related limbic brain regions. SUS mice showed greater FC between the vDG and subcortical regions compared to both control (CON) or RES groups. Whole brain vDG seed-voxel analysis supported seed-seed findings in SUS mice but also indicated significantly decreased FC between the vDG and anterior cingulate area compared to CON mice. Interestingly, RES mice exhibited enhanced FC between the vDG and anterior cingulate area compared to SUS mice. Moreover, RES mice showed greater FC between the infralimbic prefrontal cortex and the nucleus accumbens shell compared to CON mice. These findings indicate unique differences in FC patterns in phenotypically distinct SUS and RES mice that could represent a neurobiological basis for depression, anxiety, and negative-coping behaviors that are associated with exposure to chronic stress.
Collapse
Affiliation(s)
- Derek Lupinsky
- Douglas Hospital Research Centre, Department of Psychiatry, McGill University, Montréal, QC, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montréal, QC, Canada
| | - Md Taufiq Nasseef
- Douglas Hospital Research Centre, Department of Psychiatry, McGill University, Montréal, QC, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montréal, QC, Canada
- Department of Mathematics, College of Science and Humanity Studies, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia
| | - Carine Parent
- Douglas Hospital Research Centre, Department of Psychiatry, McGill University, Montréal, QC, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montréal, QC, Canada
| | - Kelly Craig
- Douglas Hospital Research Centre, Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Josie Diorio
- Douglas Hospital Research Centre, Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Tie-Yuan Zhang
- Douglas Hospital Research Centre, Department of Psychiatry, McGill University, Montréal, QC, Canada.
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montréal, QC, Canada.
| | - Michael J Meaney
- Douglas Hospital Research Centre, Department of Psychiatry, McGill University, Montréal, QC, Canada.
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Brain-Body Initiative, Agency for Science, Technology & Research, Singapore, Singapore.
| |
Collapse
|
5
|
Chu CS, Lin YY, Huang CCY, Chung YA, Park SY, Chang WC, Chang CC, Chang HA. Altered electroencephalography-based source functional connectivity in drug-free patients with major depressive disorder. J Affect Disord 2025; 369:1161-1167. [PMID: 39447969 DOI: 10.1016/j.jad.2024.10.087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 10/05/2024] [Accepted: 10/20/2024] [Indexed: 10/26/2024]
Abstract
BACKGROUND Compared to functional magnetic resonance imaging (fMRI), source localization of a scalp-recorded electroencephalogram (EEG) provides higher temporal resolution and frequency synchronization to better understand the potential neurophysiological origins of disrupted functional connectivity (FC) in major depressive disorder (MDD). The present study aimed to investigate EEG-sourced measures to examine the FC in drug-free patients with MDD. METHOD Resting-state 32-channel EEG were recorded in 84 drug-free patients with MDD and 143 healthy controls, and the cortical source signals were estimated. Exact low-resolution brain electromagnetic tomography (eLORETA) was used to compute the intracortical activity from regions within the default mode network (DMN) and frontoparietal network (PFN). Lagged phase synchronization was used as a measure of functional connectivity. RESULTS Compared with control subjects, the MDD group showed greater within-DMN alpha 1 and 2 bands and within-FPN alpha 1, 2, and beta 3 bands. Furthermore, the MDD group showed hyperconnectivity between the DMN and the FPN in the alpha 1 and 2 bands. Finally, higher levels of anhedonia were associated with higher between-network DMN and FPN connectivity in the alpha-1 band. LIMITATIONS Due to the inherent limitations of eLORETA with predefined seeds, we could not exclude connectivity between regions of interest (ROIs), which may be related to the activity from regions adjacent to the ROIs. CONCLUSIONS The present findings support the importance of phase-lagged functional dysconnectivity in the neurophysiological mechanisms underlying MDD. Exploring the potential of these patterns as surrogates for treatment responses may advance targeted interventions for depression.
Collapse
Affiliation(s)
- Che-Sheng Chu
- Department of Psychiatry, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan; Center for Geriatrics and Gerontology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan; Non-Invasive Neuromodulation Consortium for Mental Disorders, Society of Psychophysiology, Taipei, Taiwan; Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yen-Yue Lin
- Department of Emergency Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan; Department of Emergency Medicine, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan; Department of Life Sciences, National Central University, Taoyuan, Taiwan
| | | | - Yong-An Chung
- Department of Nuclear Medicine, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Sonya Youngju Park
- Department of Nuclear Medicine, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Wei-Chou Chang
- Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Chuan-Chia Chang
- Non-Invasive Neuromodulation Consortium for Mental Disorders, Society of Psychophysiology, Taipei, Taiwan; Department of Psychiatry, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
| | - Hsin-An Chang
- Non-Invasive Neuromodulation Consortium for Mental Disorders, Society of Psychophysiology, Taipei, Taiwan; Department of Psychiatry, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
| |
Collapse
|
6
|
Tian H, Wang Z, Meng Y, Geng L, Lian H, Shi Z, Zhuang Z, Cai W, He M. Neural mechanisms underlying cognitive impairment in depression and cognitive benefits of exercise intervention. Behav Brain Res 2025; 476:115218. [PMID: 39182624 DOI: 10.1016/j.bbr.2024.115218] [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: 05/05/2024] [Revised: 08/22/2024] [Accepted: 08/22/2024] [Indexed: 08/27/2024]
Abstract
Depression is associated with functional brain impairments, although comprehensive studies remain limited. This study reviews neural mechanisms underlying cognitive impairment in depression and identifies associated activation abnormalities in brain regions. The study also explores the underlying neural processes of cognitive benefits of exercise intervention for depression. Executive function impairments, including working memory, inhibitory control and cognitive flexibility are associated with frontal cortex and anterior cingulate areas, especially dorsolateral prefrontal cortex. Depression is associated with certain neural impairments of reward processing, especially orbitofrontal cortex, prefrontal cortex, nucleus accumbens and other striatal regions. Depressed patients exhibit decreased activity in the hippocampus during memory function. Physical exercise has been found to enhance memory function, executive function, and reward processing in depression patients by increasing functional brain regions and the brain-derived neurotrophic factor (BDNF) as a nutritional factor also plays a key role in exercise intervention. The study documents neurophysiological mechanisms behind exercise intervention's improved functions. In summary, the study provides insights into neural mechanisms underlying cognitive impairments in depression and the effectiveness of exercise as a treatment.
Collapse
Affiliation(s)
- Huizi Tian
- Department of Psychology, School of Sports Medicine, Wuhan Sports University, China
| | - Zhifang Wang
- School of Psychology, Capital Normal University, China
| | - Yao Meng
- Department of Diving and Hyperbaric Medicine, Naval Special Medical Center, Naval Medical University, China
| | - Lu Geng
- Department of Psychology, School of Sports Medicine, Wuhan Sports University, China
| | - Hao Lian
- Faculty of Psychology, Naval Medical University, Shanghai, China
| | - Zhifei Shi
- Department of Psychology, School of Sports Medicine, Wuhan Sports University, China
| | - Zhidong Zhuang
- Department of Psychology, School of Sports Medicine, Wuhan Sports University, China
| | - Wenpeng Cai
- Faculty of Psychology, Naval Medical University, Shanghai, China.
| | - Mengyang He
- Department of Psychology, School of Sports Medicine, Wuhan Sports University, China.
| |
Collapse
|
7
|
Qu YL, Chopra S, Qu S, Cocuzza CV, Labache L, Bauer CC, Morfini F, Whitfield-Gabrieli S, Slavich GM, Joormann J, Holmes AJ. Shared and unique lifetime stressor characteristics and network connectivity predict adolescent anxiety and depression. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.10.25.620373. [PMID: 39484470 PMCID: PMC11527110 DOI: 10.1101/2024.10.25.620373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/03/2024]
Abstract
Background Exposure to major life stressors and aberrant functional connectivity have been linked to anxiety and depression, especially during adolescence. However, whether specific characteristics of life stressors and functional network connectivity act together to differentially predict anxiety and depression symptoms remains unclear. Methods We utilized baseline lifetime stressor exposure and resting-state functional magnetic resonance imaging data in a longitudinal sample of 107 adolescents enriched for anxiety and depressive disorders. We examined five stressor characteristics: physical danger, interpersonal loss, humiliation, entrapment, and role change/disruption. Anxiety and depression symptoms were assessed at baseline, 6-month and 12-month follow-ups. Linear mixed-effect models tested if lifetime severity of these stressor characteristics, functional connectivity within and between frontoparietal, default, and ventral attention networks, and their interactions differentially predicted anxiety and depression symptoms at two 6-month follow-ups. Results Greater lifetime severity of physical danger and humiliation predicted higher anxiety symptoms. Greater lifetime entrapment severity predicted higher anxiety and depression symptoms. After including within- and between-network functional connectivity and other predictive characteristics, only the effects of lifetime entrapment severity remained significant. Lifetime entrapment severity more strongly predicted anxiety symptoms in youth with higher default network connectivity. Greater functional connectivity between frontoparietal and default networks predicted increased depression symptoms. Conclusions Our study is the first to use lifetime severity of distinct stressor characteristics and resting-state functional connectivity jointly to predict adolescent anxiety and depression symptoms. These results imply certain stressor characteristics and functional connectivity metrics as specific predictors of anxiety or depression and highlight entrapment as a shared predictor for anxiety and depression.
Collapse
Affiliation(s)
- Yueyue Lydia Qu
- Department of Psychology, Yale University, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - Sidhant Chopra
- Orygen, Melbourne, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Shijie Qu
- Department of Psychology, Yale University, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - Carrisa V. Cocuzza
- Department of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, NJ, USA
| | - Loïc Labache
- Department of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, NJ, USA
| | - Clemens C.C. Bauer
- Department of Psychology, Northeastern University, Boston, MA, USA
- Center for Cognitive & Brain Health, Northeastern University, Boston, MA, USA
- Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Francesca Morfini
- Department of Psychology, Northeastern University, Boston, MA, USA
- Center for Cognitive & Brain Health, Northeastern University, Boston, MA, USA
| | - Susan Whitfield-Gabrieli
- Department of Psychology, Northeastern University, Boston, MA, USA
- Center for Cognitive & Brain Health, Northeastern University, Boston, MA, USA
- Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - George M. Slavich
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Jutta Joormann
- Department of Psychology, Yale University, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - Avram J. Holmes
- Department of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, NJ, USA
| |
Collapse
|
8
|
Stanisavljević Ilić A, Filipović D. Mapping of c-Fos Expression in Rat Brain Sub/Regions Following Chronic Social Isolation: Effective Treatments of Olanzapine, Clozapine or Fluoxetine. Pharmaceuticals (Basel) 2024; 17:1527. [PMID: 39598437 PMCID: PMC11597560 DOI: 10.3390/ph17111527] [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: 10/15/2024] [Revised: 11/07/2024] [Accepted: 11/12/2024] [Indexed: 11/29/2024] Open
Abstract
The c-Fos as a marker of cell activation is used to identify brain regions involved in stimuli processing. This review summarizes a pattern of c-Fos immunoreactivity and the overlapping brain sub/regions which may provide hints for the identification of neural circuits that underlie depressive- and anxiety-like behaviors of adult male rats following three and six weeks of chronic social isolation (CSIS), relative to controls, as well as the antipsychotic-like effects of olanzapine (Olz), and clozapine (Clz), and the antidepressant-like effect of fluoxetine (Flx) in CSIS relative to CSIS alone. Additionally, drug-treated controls relative to control rats were also characterized. The overlapping rat brain sub/regions with increased expression of c-Fos immunoreactivity following three or six weeks of CSIS were the retrosplenial granular cortex, c subregion, retrosplenial dysgranular cortex, dorsal dentate gyrus, paraventricular nucleus of the thalamus (posterior part, PVP), lateral/basolateral (LA/BL) complex of the amygdala, caudate putamen, and nucleus accumbens shell. Increased activity of the nucleus accumbens core following exposure of CSIS rats either to Olz, Clz, and Flx treatments was found, whereas these treatments in controls activated the LA/BL complex of the amygdala and PVP. We also outline sub/regions that might represent potential neuroanatomical targets for the aforementioned antipsychotics or antidepressant treatments.
Collapse
Affiliation(s)
| | - Dragana Filipović
- Department of Molecular Biology and Endocrinology, “VINČA” Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, 11000 Belgrade, Serbia;
| |
Collapse
|
9
|
Garcia JPT, Tayo LL. Codes between Poles: Linking Transcriptomic Insights into the Neurobiology of Bipolar Disorder. BIOLOGY 2024; 13:787. [PMID: 39452096 PMCID: PMC11505342 DOI: 10.3390/biology13100787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2024] [Revised: 09/02/2024] [Accepted: 09/30/2024] [Indexed: 10/26/2024]
Abstract
Bipolar disorder (BPD) is a serious psychiatric condition that is characterized by the frequent shifting of mood patterns, ranging from manic to depressive episodes. Although there are already treatment strategies that aim at regulating the manifestations of this disorder, its etiology remains unclear and continues to be a question of interest within the scientific community. The development of RNA sequencing techniques has provided newer and better approaches to studying disorders at the transcriptomic level. Hence, using RNA-seq data, we employed intramodular connectivity analysis and network pharmacology assessment of disease-associated variants to elucidate the biological pathways underlying the complex nature of BPD. This study was intended to characterize the expression profiles obtained from three regions in the brain, which are the nucleus accumbens (nAcc), the anterior cingulate cortex (AnCg), and the dorsolateral prefrontal cortex (DLPFC), provide insights into the specific roles of these regions in the onset of the disorder, and present potential targets for drug design and development. The nAcc was found to be highly associated with genes responsible for the deregulated transcription of neurotransmitters, while the DLPFC was greatly correlated with genes involved in the impairment of components crucial in neurotransmission. The AnCg did show association with some of the expressions, but the relationship was not as strong as the other two regions. Furthermore, disease-associated variants or single nucleotide polymorphisms (SNPs) were identified among the significant genes in BPD, which suggests the genetic interrelatedness of such a disorder and other mental illnesses. DRD2, GFRA2, and DCBLD1 were the genes with disease-associated variants expressed in the nAcc; ST8SIA2 and ADAMTS16 were the genes with disease-associated variants expressed in the AnCg; and FOXO3, ITGA9, CUBN, PLCB4, and RORB were the genes with disease-associated variants expressed in the DLPFC. Aside from unraveling the molecular and cellular mechanisms behind the expression of BPD, this investigation was envisioned to propose a new research pipeline in studying the transcriptome of psychiatric disorders to support and improve existing studies.
Collapse
Affiliation(s)
- Jon Patrick T. Garcia
- School of Chemical, Biological, and Materials Engineering and Sciences, Mapúa University, Manila 1002, Philippines;
- School of Graduate Studies, Mapúa University, Manila 1002, Philippines
| | - Lemmuel L. Tayo
- School of Chemical, Biological, and Materials Engineering and Sciences, Mapúa University, Manila 1002, Philippines;
- Department of Biology, School of Health Sciences, Mapúa University, Makati 1200, Philippines
| |
Collapse
|
10
|
Egger K, Aicher HD, Cumming P, Scheidegger M. Neurobiological research on N,N-dimethyltryptamine (DMT) and its potentiation by monoamine oxidase (MAO) inhibition: from ayahuasca to synthetic combinations of DMT and MAO inhibitors. Cell Mol Life Sci 2024; 81:395. [PMID: 39254764 PMCID: PMC11387584 DOI: 10.1007/s00018-024-05353-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 06/19/2024] [Accepted: 07/04/2024] [Indexed: 09/11/2024]
Abstract
The potent hallucinogen N,N-dimethyltryptamine (DMT) has garnered significant interest in recent years due to its profound effects on consciousness and its therapeutic psychopotential. DMT is an integral (but not exclusive) psychoactive alkaloid in the Amazonian plant-based brew ayahuasca, in which admixture of several β-carboline monoamine oxidase A (MAO-A) inhibitors potentiate the activity of oral DMT, while possibly contributing in other respects to the complex psychopharmacology of ayahuasca. Irrespective of the route of administration, DMT alters perception, mood, and cognition, presumably through agonism at serotonin (5-HT) 1A/2A/2C receptors in brain, with additional actions at other receptor types possibly contributing to its overall psychoactive effects. Due to rapid first pass metabolism, DMT is nearly inactive orally, but co-administration with β-carbolines or synthetic MAO-A inhibitors (MAOIs) greatly increase its bioavailability and duration of action. The synergistic effects of DMT and MAOIs in ayahuasca or synthetic formulations may promote neuroplasticity, which presumably underlies their promising therapeutic efficacy in clinical trials for neuropsychiatric disorders, including depression, addiction, and post-traumatic stress disorder. Advances in neuroimaging techniques are elucidating the neural correlates of DMT-induced altered states of consciousness, revealing alterations in brain activity, functional connectivity, and network dynamics. In this comprehensive narrative review, we present a synthesis of current knowledge on the pharmacology and neuroscience of DMT, β-carbolines, and ayahuasca, which should inform future research aiming to harness their full therapeutic potential.
Collapse
Affiliation(s)
- Klemens Egger
- Department of Adult Psychiatry and Psychotherapy, Psychiatric University Clinic Zurich and University of Zurich, Zurich, Switzerland.
- Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, Zurich, Switzerland.
- Department of Nuclear Medicine, Bern University Hospital, Bern, Switzerland.
| | - Helena D Aicher
- Department of Adult Psychiatry and Psychotherapy, Psychiatric University Clinic Zurich and University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, Zurich, Switzerland
- Department of Psychology, University of Zurich, Zurich, Switzerland
| | - Paul Cumming
- Department of Nuclear Medicine, Bern University Hospital, Bern, Switzerland
- School of Psychology and Counselling, Queensland University of Technology, Brisbane, Australia
| | - Milan Scheidegger
- Department of Adult Psychiatry and Psychotherapy, Psychiatric University Clinic Zurich and University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, Zurich, Switzerland
| |
Collapse
|
11
|
Yang T, Ou Y, Li H, Liu F, Li P, Xie G, Zhao J, Cui X, Guo W. Neural substrates of predicting anhedonia symptoms in major depressive disorder via connectome-based modeling. CNS Neurosci Ther 2024; 30:e14871. [PMID: 39037006 PMCID: PMC11261463 DOI: 10.1111/cns.14871] [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: 12/19/2023] [Revised: 06/23/2024] [Accepted: 07/09/2024] [Indexed: 07/23/2024] Open
Abstract
MAIN PROBLEM Anhedonia is a critical diagnostic symptom of major depressive disorder (MDD), being associated with poor prognosis. Understanding the neural mechanisms underlying anhedonia is of great significance for individuals with MDD, and it encourages the search for objective indicators that can reliably identify anhedonia. METHODS A predictive model used connectome-based predictive modeling (CPM) for anhedonia symptoms was developed by utilizing pre-treatment functional connectivity (FC) data from 59 patients with MDD. Node-based FC analysis was employed to compare differences in FC patterns between melancholic and non-melancholic MDD patients. The support vector machines (SVM) method was then applied for classifying these two subtypes of MDD patients. RESULTS CPM could successfully predict anhedonia symptoms in MDD patients (positive network: r = 0.4719, p < 0.0020, mean squared error = 23.5125, 5000 iterations). Compared to non-melancholic MDD patients, melancholic MDD patients showed decreased FC between the left cingulate gyrus and the right parahippocampus gyrus (p_bonferroni = 0.0303). This distinct FC pattern effectively discriminated between melancholic and non-melancholic MDD patients, achieving a sensitivity of 93.54%, specificity of 67.86%, and an overall accuracy of 81.36% using the SVM method. CONCLUSIONS This study successfully established a network model for predicting anhedonia symptoms in MDD based on FC, as well as a classification model to differentiate between melancholic and non-melancholic MDD patients. These findings provide guidance for clinical treatment.
Collapse
Affiliation(s)
- Tingyu Yang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental DisordersThe Second Xiangya Hospital of Central South UniversityChangshaChina
- Department of Child HealthcareHunan Children's HospitalChangshaChina
| | - Yangpan Ou
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental DisordersThe Second Xiangya Hospital of Central South UniversityChangshaChina
| | - Huabing Li
- Department of RadiologyThe Second Xiangya Hospital of Central South UniversityChangshaChina
| | - Feng Liu
- Department of RadiologyTianjin Medical University General HospitalTianjinChina
| | - Ping Li
- Department of PsychiatryQiqihar Medical UniversityQiqiharChina
| | - Guangrong Xie
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental DisordersThe Second Xiangya Hospital of Central South UniversityChangshaChina
| | - Jingping Zhao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental DisordersThe Second Xiangya Hospital of Central South UniversityChangshaChina
| | - Xilong Cui
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental DisordersThe Second Xiangya Hospital of Central South UniversityChangshaChina
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental DisordersThe Second Xiangya Hospital of Central South UniversityChangshaChina
| |
Collapse
|
12
|
Zhang B, Guo M, Dong T, Yang H, Zhang Q, Yang Q, Zhou X, Mao C, Zhang M. Disrupted Resting-State Functional Connectivity and Effective Connectivity of the Nucleus Accumbens in Chronic Low Back Pain: A Cross-Sectional Study. J Pain Res 2024; 17:2133-2146. [PMID: 38915479 PMCID: PMC11194467 DOI: 10.2147/jpr.s455239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 05/28/2024] [Indexed: 06/26/2024] Open
Abstract
Purpose Chronic low back pain (cLBP) is a recurring and intractable disease that is often accompanied by emotional and cognitive disorders such as depression and anxiety. The nucleus accumbens (NAc) plays an important role in mediating emotional and cognitive processes and analgesia. This study investigated the resting-state functional connectivity (rsFC) and effective connectivity (EC) of NAc and its subregions in cLBP. Methods Thirty-four cLBP patients and 34 age- and sex-matched healthy controls (HC) underwent resting-state functional magnetic resonance imaging (rs-fMRI). Seed-based rsFC and Dynamic Causal Modelling (DCM) were used to examine the alteration of the rsFC and EC of the NAc. Results Our results showed that the cLBP group had increased rsFC of the bilateral NAc-left superior frontal cortex (SFC), orbital frontal cortex (OFC), left angular gyrus, the left NAc-bilateral middle temporal gyrus, as well as decreased rsFC of left NAc-left supramarginal gyrus, right precentral gyrus, left cerebellum, brainstem (medulla oblongata), and right insula pathways compared with the HC; the results of the subregions were largely consistent with the whole NAc. In addition, the rsFC of the left NAc-left SFC was negatively correlated with Hamilton's Depression Scale (HAMD) scores (r = -0.402, p = 0.018), and the rsFC of left NAc-OFC was positively correlated with present pain intensity scores (r = 0.406, p = 0.017) in the cLBP group. DCM showed that the cLBP group showed significantly increased EC from the left cerebellum to the right NAc (p = 0.012) as compared with HC. Conclusion Overall, our findings demonstrate aberrant rsFC and EC between NAc and regions that are associated with emotional regulation and cognitive processing in individuals with cLBP, underscoring the pivotal roles of emotion and cognition in cLBP.
Collapse
Affiliation(s)
- Bo Zhang
- Department of Medical Imaging, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710061, People’s Republic of China
- Department of Medical Imaging, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710004, People’s Republic of China
| | - Minmin Guo
- Department of Medical Imaging, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710004, People’s Republic of China
| | - Ting Dong
- Department of Medical Imaging, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710004, People’s Republic of China
| | - Huajuan Yang
- Department of Medical Imaging, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710004, People’s Republic of China
| | - Qiujuan Zhang
- Department of Medical Imaging, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710004, People’s Republic of China
| | - Quanxin Yang
- Department of Medical Imaging, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710004, People’s Republic of China
| | - Xiaoqian Zhou
- Department of Medical Imaging, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710004, People’s Republic of China
| | - Cuiping Mao
- Department of Medical Imaging, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710004, People’s Republic of China
| | - Ming Zhang
- Department of Medical Imaging, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710061, People’s Republic of China
| |
Collapse
|
13
|
Taraku B, Loureiro JR, Sahib AK, Zavaliangos‐Petropulu A, Al‐Sharif N, Leaver AM, Wade B, Joshi S, Woods RP, Espinoza R, Narr KL. Modulation of habenular and nucleus accumbens functional connectivity by ketamine in major depression. Brain Behav 2024; 14:e3511. [PMID: 38894648 PMCID: PMC11187958 DOI: 10.1002/brb3.3511] [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: 12/28/2023] [Revised: 03/09/2024] [Accepted: 04/13/2024] [Indexed: 06/21/2024] Open
Abstract
INTRODUCTION Major depressive disorder (MDD) is associated with dysfunctional reward processing, which involves functional circuitry of the habenula (Hb) and nucleus accumbens (NAc). Since ketamine elicits rapid antidepressant and antianhedonic effects in MDD, this study sought to investigate how serial ketamine infusion (SKI) treatment modulates static and dynamic functional connectivity (FC) in Hb and NAc functional networks. METHODS MDD participants (n = 58, mean age = 40.7 years, female = 28) received four ketamine infusions (0.5 mg/kg) 2-3 times weekly. Resting-state functional magnetic resonance imaging (fMRI) scans and clinical assessments were collected at baseline and 24 h post-SKI. Static FC (sFC) and dynamic FC variability (dFCv) were calculated from left and right Hb and NAc seeds to all other brain regions. Changes in FC pre-to-post SKI, and correlations with changes with mood and anhedonia were examined. Comparisons of FC between patients and healthy controls (HC) at baseline (n = 55, mean age = 32.6, female = 31), and between HC assessed twice (n = 16) were conducted as follow-up analyses. RESULTS Following SKI, significant increases in left Hb-bilateral visual cortex FC, decreases in left Hb-left inferior parietal cortex FC, and decreases in left NAc-right cerebellum FC occurred. Decreased dFCv between left Hb and right precuneus and visual cortex, and decreased dFCv between right NAc and right visual cortex both significantly correlated with improvements in mood ratings. Decreased FC between left Hb and bilateral visual/parietal cortices as well as increased FC between left NAc and right visual/parietal cortices both significantly correlated with improvements in anhedonia. No differences were observed between HC at baseline or over time. CONCLUSION Subanesthetic ketamine modulates functional pathways linking the Hb and NAc with visual, parietal, and cerebellar regions in MDD. Overlapping effects between Hb and NAc functional systems were associated with ketamine's therapeutic response.
Collapse
Affiliation(s)
- Brandon Taraku
- Ahmanson‐Lovelace Brain Mapping Center, Department of NeurologyUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Joana R. Loureiro
- Ahmanson‐Lovelace Brain Mapping Center, Department of NeurologyUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Ashish K. Sahib
- Ahmanson‐Lovelace Brain Mapping Center, Department of NeurologyUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Artemis Zavaliangos‐Petropulu
- Ahmanson‐Lovelace Brain Mapping Center, Department of NeurologyUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Noor Al‐Sharif
- Ahmanson‐Lovelace Brain Mapping Center, Department of NeurologyUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Amber M. Leaver
- Department of RadiologyNorthwestern UniversityChicagoIllinoisUSA
| | - Benjamin Wade
- Division of Neuropsychiatry and NeuromodulationMassachusetts General Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Shantanu Joshi
- Ahmanson‐Lovelace Brain Mapping Center, Department of NeurologyUniversity of California Los AngelesLos AngelesCaliforniaUSA
- Department of Psychiatry and Biobehavioral SciencesUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Roger P. Woods
- Ahmanson‐Lovelace Brain Mapping Center, Department of NeurologyUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Randall Espinoza
- Department of Psychiatry and Biobehavioral SciencesUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Katherine L. Narr
- Ahmanson‐Lovelace Brain Mapping Center, Department of NeurologyUniversity of California Los AngelesLos AngelesCaliforniaUSA
- Department of Psychiatry and Biobehavioral SciencesUniversity of California Los AngelesLos AngelesCaliforniaUSA
| |
Collapse
|
14
|
Leserri S, Segura-Amil A, Nowacki A, Debove I, Petermann K, Schäppi L, Preti MG, Van De Ville D, Pollo C, Walther S, Nguyen TAK. Linking connectivity of deep brain stimulation of nucleus accumbens area with clinical depression improvements: a retrospective longitudinal case series. Eur Arch Psychiatry Clin Neurosci 2024; 274:685-696. [PMID: 37668723 PMCID: PMC10994999 DOI: 10.1007/s00406-023-01683-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: 04/06/2023] [Accepted: 08/14/2023] [Indexed: 09/06/2023]
Abstract
Treatment-resistant depression is a severe form of major depressive disorder and deep brain stimulation is currently an investigational treatment. The stimulation's therapeutic effect may be explained through the functional and structural connectivities between the stimulated area and other brain regions, or to depression-associated networks. In this longitudinal, retrospective study, four female patients with treatment-resistant depression were implanted for stimulation in the nucleus accumbens area at our center. We analyzed the structural and functional connectivity of the stimulation area: the structural connectivity was investigated with probabilistic tractography; the functional connectivity was estimated by combining patient-specific stimulation volumes and a normative functional connectome. These structural and functional connectivity profiles were then related to four clinical outcome scores. At 1-year follow-up, the remission rate was 66%. We observed a consistent structural connectivity to Brodmann area 25 in the patient with the longest remission phase. The functional connectivity analysis resulted in patient-specific R-maps describing brain areas significantly correlated with symptom improvement in this patient, notably the prefrontal cortex. But the connectivity analysis was mixed across patients, calling for confirmation in a larger cohort and over longer time periods.
Collapse
Affiliation(s)
- Simona Leserri
- Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- ARTORG Center for Biomedical Engineering Research, University Bern, Bern, Switzerland
- Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Alba Segura-Amil
- Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- ARTORG Center for Biomedical Engineering Research, University Bern, Bern, Switzerland
| | - Andreas Nowacki
- Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Ines Debove
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Katrin Petermann
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Lea Schäppi
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Maria Giulia Preti
- Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- CIBM Center for Biomedical Imaging, Lausanne, Switzerland
- Department of Radiology and Medical InformaticsFaculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Dimitri Van De Ville
- Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- CIBM Center for Biomedical Imaging, Lausanne, Switzerland
- Department of Radiology and Medical InformaticsFaculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Claudio Pollo
- Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Sebastian Walther
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - T A Khoa Nguyen
- Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
- ARTORG Center for Biomedical Engineering Research, University Bern, Bern, Switzerland.
- ARTORG IGT, Murtenstrasse 50, 3008, Bern, Switzerland.
| |
Collapse
|
15
|
Ma Y, Kochunov P, Kvarta MD, LeGates T, Adhikari BM, Chiappelli J, van der Vaart A, Goldwaser EL, Bruce H, Hatch KS, Gao S, Chen S, Summerfelt A, Nichols TE, Hong LE. Reciprocal relationships between stress and depressive symptoms: the essential role of the nucleus accumbens. Psychol Med 2024; 54:1045-1056. [PMID: 37750294 PMCID: PMC11078439 DOI: 10.1017/s0033291723002866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
BACKGROUND Stress and depression have a reciprocal relationship, but the neural underpinnings of this reciprocity are unclear. We investigated neuroimaging phenotypes that facilitate the reciprocity between stress and depressive symptoms. METHODS In total, 22 195 participants (52.0% females) from the population-based UK Biobank study completed two visits (initial visit: 2006-2010, age = 55.0 ± 7.5 [40-70] years; second visit: 2014-2019; age = 62.7 ± 7.5 [44-80] years). Structural equation modeling was used to examine the longitudinal relationship between self-report stressful life events (SLEs) and depressive symptoms. Cross-sectional data were used to examine the overlap between neuroimaging correlates of SLEs and depressive symptoms on the second visit among 138 multimodal imaging phenotypes. RESULTS Longitudinal data were consistent with significant bidirectional causal relationship between SLEs and depressive symptoms. In cross-sectional analyses, SLEs were significantly associated with lower bilateral nucleus accumbal volume and lower fractional anisotropy of the forceps major. Depressive symptoms were significantly associated with extensive white matter hyperintensities, thinner cortex, lower subcortical volume, and white matter microstructural deficits, mainly in corticostriatal-limbic structures. Lower bilateral nucleus accumbal volume were the only imaging phenotypes with overlapping effects of depressive symptoms and SLEs (B = -0.032 to -0.023, p = 0.006-0.034). Depressive symptoms and SLEs significantly partially mediated the effects of each other on left and right nucleus accumbens volume (proportion of effects mediated = 12.7-14.3%, p < 0.001-p = 0.008). For the left nucleus accumbens, post-hoc seed-based analysis showed lower resting-state functional connectivity with the left orbitofrontal cortex (cluster size = 83 voxels, p = 5.4 × 10-5) in participants with high v. no SLEs. CONCLUSIONS The nucleus accumbens may play a key role in the reciprocity between stress and depressive symptoms.
Collapse
Affiliation(s)
- Yizhou Ma
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Mark D. Kvarta
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Tara LeGates
- Department of Biological Sciences, University of Maryland, Baltimore County, Baltimore, MD, USA
| | - Bhim M. Adhikari
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Joshua Chiappelli
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Andrew van der Vaart
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Eric L. Goldwaser
- Department of Psychiatry, Weill Cornell Medical College/New York-Presbyterian Hospital, New York, NY, USA
| | - Heather Bruce
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Kathryn S. Hatch
- School of Medicine, University of California, San Diego, CA, USA
| | - Si Gao
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Shuo Chen
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ann Summerfelt
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Thomas E. Nichols
- Department of Statistics, Big Data Science Institute, University of Oxford, Oxford, UK
| | - L. Elliot Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| |
Collapse
|
16
|
Greš A, Šagud M, Dickov A. The effect of vortioxetine on anhedonia in patients with schizophrenia. Int J Psychiatry Med 2024; 59:139-152. [PMID: 37647498 DOI: 10.1177/00912174231199925] [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] [Indexed: 09/01/2023]
Abstract
OBJECTIVE Anhedonia is a common symptom of depression, but is also a negative symptom of schizophrenia. The purpose of this study was to examine the effects of vortioxetine on anhedonia in patients with schizophrenia. METHODS A total of 120 patients with schizophrenia in remission who met inclusion criteria were randomized 1:1 by the envelope method into intervention and control groups. All participants in both groups were divided into three subgroups based on the antipsychotic therapy they were receiving (olanzapine, risperidone, or aripiprazole). Vortioxetine was administered to those in the intervention group at a fixed dose of 10 mg per day. The Positive and Negative Syndrome Scale (PANSS), Calgary Depression Scale for Schizophrenia (CDSS), and Chapman Scale for Social and Physical Anhedonia (CSPA) were administered. The study lasted 12 weeks. Participants were assessed twice: At baseline and at the end of the study. Six participants dropped out, with 114 completing the trial. FINDINGS Vortioxetine treatment had a significant effect on level of physical anhedonia. The treatment interaction was also statistically significant, but with a relatively small effect (F = 3.17, P < .05; η2 = .061). Vortioxetine treatment had a particularly strong effect on the level of social anhedonia. The interaction between the treatment and the type of antipsychotics was also statistically significant with a small effect (F = 5.04, P < 0. 01; η2 = .091). CONCLUSION The combination of olanzapine and vortioxetine was found to be the best option to reduce symptoms of social and physical anhedonia in these patients with remitted schizophrenia.
Collapse
Affiliation(s)
- Alen Greš
- Department of Psychiatry and Psychological Medicine, University Hospital Center Zagreb, Zagreb, Croatia
| | - Marina Šagud
- Department of Psychiatry and Psychological Medicine, University Hospital Center Zagreb, Zagreb, Croatia
| | - Aleksandra Dickov
- Department of Psychiatry, University Clinical Center of Vojvodina, Novi Sad, Serbia
| |
Collapse
|
17
|
Martino M, Magioncalda P. A three-dimensional model of neural activity and phenomenal-behavioral patterns. Mol Psychiatry 2024; 29:639-652. [PMID: 38114633 DOI: 10.1038/s41380-023-02356-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 11/16/2023] [Accepted: 11/27/2023] [Indexed: 12/21/2023]
Abstract
How phenomenal experience and behavior are related to neural activity in physiology and psychopathology represents a fundamental question in neuroscience and psychiatry. The phenomenal-behavior patterns may be deconstructed into basic dimensions, i.e., psychomotricity, affectivity, and thought, which might have distinct neural correlates. This work provides a data overview on the relationship of these phenomenal-behavioral dimensions with brain activity across physiological and pathological conditions (including major depressive disorder, bipolar disorder, schizophrenia, attention-deficit/hyperactivity disorder, anxiety disorders, addictive disorders, Parkinson's disease, Tourette syndrome, Alzheimer's disease, and frontotemporal dementia). Accordingly, we propose a three-dimensional model of neural activity and phenomenal-behavioral patterns. In this model, neural activity is organized into distinct units in accordance with connectivity patterns and related input/output processing, manifesting in the different phenomenal-behavioral dimensions. (1) An external neural unit, which involves the sensorimotor circuit/brain's sensorimotor network and is connected with the external environment, processes external inputs/outputs, manifesting in the psychomotor dimension (processing of exteroception/somatomotor activity). External unit hyperactivity manifests in psychomotor excitation (hyperactivity/hyperkinesia/catatonia), while external unit hypoactivity manifests in psychomotor inhibition (retardation/hypokinesia/catatonia). (2) An internal neural unit, which involves the interoceptive-autonomic circuit/brain's salience network and is connected with the internal/body environment, processes internal inputs/outputs, manifesting in the affective dimension (processing of interoception/autonomic activity). Internal unit hyperactivity manifests in affective excitation (anxiety/dysphoria-euphoria/panic), while internal unit hypoactivity manifests in affective inhibition (anhedonia/apathy/depersonalization). (3) An associative neural unit, which involves the brain's associative areas/default-mode network and is connected with the external/internal units (but not with the environment), processes associative inputs/outputs, manifesting in the thought dimension (processing of ideas). Associative unit hyperactivity manifests in thought excitation (mind-wandering/repetitive thinking/psychosis), while associative unit hypoactivity manifests in thought inhibition (inattention/cognitive deficit/consciousness loss). Finally, these neural units interplay and dynamically combine into various neural states, resulting in the complex phenomenal experience and behavior across physiology and neuropsychiatric disorders.
Collapse
Affiliation(s)
- Matteo Martino
- Graduate Institute of Mind Brain and Consciousness, Taipei Medical University, Taipei, Taiwan.
| | - Paola Magioncalda
- Graduate Institute of Mind Brain and Consciousness, Taipei Medical University, Taipei, Taiwan.
- International Master/Ph.D. Program in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
- Department of Radiology, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.
- Department of Medical Research, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.
| |
Collapse
|
18
|
Chen Z, Ou Y, Liu F, Li H, Li P, Xie G, Cui X, Guo W. Increased brain nucleus accumbens functional connectivity in melancholic depression. Neuropharmacology 2024; 243:109798. [PMID: 37995807 DOI: 10.1016/j.neuropharm.2023.109798] [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: 09/23/2023] [Revised: 11/06/2023] [Accepted: 11/16/2023] [Indexed: 11/25/2023]
Abstract
BACKGROUND Melancholic depression, marked by typical symptoms of anhedonia, is regarded as a homogeneous subtype of major depressive disorder (MDD). However, little attention was paid to underlying mechanisms of melancholic depression. This study aims to examine functional connectivity of the reward circuit associated with anhedonia symptoms in melancholic depression. METHODS Fifty-nine patients with first-episode drug- naive MDD, including 31 melancholic patients and 28 non-melancholic patients, were recruited and underwent resting-state functional magnetic resonance imaging (rs-fMRI). Thirty-two healthy volunteers were recruited as controls. Bilateral nucleus accumbens (NAc) were selected as seed points to form functional NAc network. Then support vector machine (SVM) was used to distinguish melancholic patients from non-melancholic patients. RESULTS Relative to non-melancholic patients, melancholic patients displayed increased functional connectivity (FC) between bilateral NAc and right middle frontal gyrus (MFG) and between right NAc and left cerebellum lobule VIII. Compared to healthy controls, melancholic patients showed increased FC between right NAc and right lingual gyrus and between left NAc and left postcentral gyrus; non-melancholic patients had increased FC between bilateral NAc and right lingual gyrus. No significant correlations were observed between altered FC and clinical variables in melancholic patients. SVM results showed that FC between left NAc and right MFG could accurately distinguish melancholic patients from non-melancholic patients. CONCLUSION Melancholic depression exhibited different patterns of functional connectivity of the reward circuit relative to non-melancholic patients. This study highlights the significance of the reward circuit in the neuropathology of melancholic depression.
Collapse
Affiliation(s)
- Zhaobin Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Yangpan Ou
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300000, China
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Ping Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang 161006, China
| | - Guangrong Xie
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Xilong Cui
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| |
Collapse
|
19
|
Taraku B, Loureiro JR, Sahib AK, Zavaliangos-Petropulu A, Al-Sharif N, Leaver A, Wade B, Joshi S, Woods RP, Espinoza R, Narr KL. Ketamine treatment modulates habenular and nucleus accumbens static and dynamic functional connectivity in major depression. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.01.23299282. [PMID: 38106178 PMCID: PMC10723506 DOI: 10.1101/2023.12.01.23299282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Dysfunctional reward processing in major depressive disorder (MDD) involves functional circuitry of the habenula (Hb) and nucleus accumbens (NAc). Ketamine elicits rapid antidepressant and alleviates anhedonia in MDD. To clarify how ketamine perturbs reward circuitry in MDD, we examined how serial ketamine infusions (SKI) modulate static and dynamic functional connectivity (FC) in Hb and NAc networks. MDD participants (n=58, mean age=40.7 years, female=28) received four ketamine infusions (0.5mg/kg) 2-3 times weekly. Resting-state fMRI scans and clinical assessments were collected at baseline and 24 hours post-SKI completion. Static FC (sFC) and dynamic FC variability (dFCv) were calculated from left and right Hb and NAc seeds to all other brain regions. Paired t-tests examined changes in FC pre-to-post SKI, and correlations were used to determine relationships between FC changes with mood and anhedonia. Following SKI, significant increases in left Hb-bilateral visual cortex FC, decreases in left Hb-left inferior parietal cortex FC, and decreases in left NAc-right cerebellum FC occurred. Decreased dFCv between left Hb and right precuneus and visual cortex, and decreased dFCv between right NAc and right visual cortex both significantly correlated with improvements in Hamilton Depression Rating Scale. Decreased FC between left Hb and bilateral visual/parietal cortices as well as increased FC between left NAc and right visual/parietal cortices both significantly correlated with improvements in anhedonia. Subanesthetic ketamine modulates functional pathways linking the Hb and NAc with visual, parietal, and cerebellar regions. Overlapping effects between Hb and NAc functional systems were associated with ketamine's therapeutic response.
Collapse
Affiliation(s)
- Brandon Taraku
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
| | - Joana R Loureiro
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
| | - Ashish K Sahib
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
| | - Artemis Zavaliangos-Petropulu
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
| | - Noor Al-Sharif
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
| | | | - Benjamin Wade
- Division of Neuropsychiatry and Neuromodulation, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Shantanu Joshi
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Roger P Woods
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
| | - Randall Espinoza
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Katherine L Narr
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| |
Collapse
|
20
|
Kirsch DE, Kosted R, Le V, Almeida JRC, Fromme K, Strakowski SM, Lippard ETC. Ventral prefrontal network response to alcohol in young adults with bipolar disorder: a within-subject randomized placebo-controlled alcohol administration study. Neuropsychopharmacology 2023; 48:1910-1919. [PMID: 37474761 PMCID: PMC10584851 DOI: 10.1038/s41386-023-01657-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 06/12/2023] [Accepted: 07/09/2023] [Indexed: 07/22/2023]
Abstract
Bipolar disorder co-occurs with alcohol use disorder at a rate 3-5 times higher than the general population. We recently reported that individuals with bipolar disorder differ in the positive stimulating and anxiolytic effects of alcohol compared with healthy peers. This study used a randomized, placebo-controlled, cross-over, within-subject alcohol administration design to investigate neurobiological mechanisms within ventral prefrontal cortical (vPFC) systems that may underlie altered sensitivity to alcohol in bipolar disorder (NCT04063384). Forty-seven young adults (n = 23 with bipolar disorder, 64% women) completed clinical assessment and two beverage administration sessions (alcohol and placebo, counter-balanced). Participants were dosed to 0.08 g% breath alcohol concentration during the alcohol condition and completed measures of subjective response to alcohol and an emotional processing fMRI task during the ascending limb. Timing during the placebo condition mirrored the alcohol session. Acute alcohol was associated with reduced functional connectivity between the insula - subcallosal cingulate cortex, and increased connectivity between the left nucleus accumbens - ventromedial PFC in bipolar disorder, but with no change in functional connectivity between these regions in healthy peers. Alcohol-related increases in nucleus accumbens - ventromedial PFC functional connectivity was associated with greater positive stimulating effects of alcohol in bipolar disorder and heavier recent alcohol use. Results suggest vPFC brain systems respond differently to acute alcohol during emotional processing in young adults with bipolar disorder compared with healthy peers, and that vPFC system responses relate to the subjective experience of intoxication and recent alcohol use.
Collapse
Affiliation(s)
- Dylan E Kirsch
- Department of Psychiatry and Behavioral Sciences, University of Texas, Austin, TX, USA.
- Waggoner Center for Alcohol and Addiction Research, University of Texas, Austin, TX, USA.
- Institute for Neuroscience, University of Texas, Austin, TX, USA.
| | - Raquel Kosted
- Department of Psychiatry and Behavioral Sciences, University of Texas, Austin, TX, USA
| | - Vanessa Le
- Department of Psychiatry and Behavioral Sciences, University of Texas, Austin, TX, USA
| | - Jorge R C Almeida
- Department of Psychiatry and Behavioral Sciences, University of Texas, Austin, TX, USA
| | - Kim Fromme
- Institute for Neuroscience, University of Texas, Austin, TX, USA
- Department of Psychology, University of Texas, Austin, TX, USA
| | - Stephen M Strakowski
- Department of Psychiatry and Behavioral Sciences, University of Texas, Austin, TX, USA
- Waggoner Center for Alcohol and Addiction Research, University of Texas, Austin, TX, USA
- Institute for Neuroscience, University of Texas, Austin, TX, USA
- Department of Psychology, University of Texas, Austin, TX, USA
| | - Elizabeth T C Lippard
- Department of Psychiatry and Behavioral Sciences, University of Texas, Austin, TX, USA.
- Waggoner Center for Alcohol and Addiction Research, University of Texas, Austin, TX, USA.
- Institute for Neuroscience, University of Texas, Austin, TX, USA.
- Department of Psychology, University of Texas, Austin, TX, USA.
- Institute of Early Life Adversity Research, University of Texas, Austin, TX, USA.
| |
Collapse
|
21
|
Ding Y, Ou Y, Yan H, Liu F, Li H, Li P, Xie G, Cui X, Guo W. Uncovering the Neural Correlates of Anhedonia Subtypes in Major Depressive Disorder: Implications for Intervention Strategies. Biomedicines 2023; 11:3138. [PMID: 38137360 PMCID: PMC10740577 DOI: 10.3390/biomedicines11123138] [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: 10/03/2023] [Revised: 11/10/2023] [Accepted: 11/21/2023] [Indexed: 12/24/2023] Open
Abstract
Major depressive disorder (MDD) represents a serious public health concern, negatively affecting individuals' quality of life and making a substantial contribution to the global burden of disease. Anhedonia is a core symptom of MDD and is associated with poor treatment outcomes. Variability in anhedonia components within MDD has been observed, suggesting heterogeneity in psychopathology across subgroups. However, little is known about anhedonia subgroups in MDD and their underlying neural correlates across subgroups. To address this question, we employed a hierarchical cluster analysis based on Temporal Experience of Pleasure Scale subscales in 60 first-episode, drug-naive MDD patients and 32 healthy controls. Then we conducted a connectome-wide association study and whole-brain voxel-wise functional analyses for identified subgroups. There were three main findings: (1) three subgroups with different anhedonia profiles were identified using a data mining approach; (2) several parts of the reward network (especially pallidum and dorsal striatum) were associated with anticipatory and consummatory pleasure; (3) different patterns of within- and between-network connectivity contributed to the disparities of anhedonia profiles across three MDD subgroups. Here, we show that anhedonia in MDD is not uniform and can be categorized into distinct subgroups, and our research contributes to the understanding of neural underpinnings, offering potential treatment directions. This work emphasizes the need for tailored approaches in the complex landscape of MDD. The identification of homogeneous, stable, and neurobiologically valid MDD subtypes could significantly enhance our comprehension and management of this multifaceted condition.
Collapse
Affiliation(s)
- Yudan Ding
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Y.D.); (H.Y.); (G.X.)
| | - Yangpan Ou
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Y.D.); (H.Y.); (G.X.)
| | - Haohao Yan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Y.D.); (H.Y.); (G.X.)
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China;
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha 410011, China;
| | - Ping Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar 161006, China;
| | - Guangrong Xie
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Y.D.); (H.Y.); (G.X.)
| | - Xilong Cui
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Y.D.); (H.Y.); (G.X.)
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (Y.D.); (H.Y.); (G.X.)
| |
Collapse
|
22
|
Wang X, Xia Y, Yan R, Sun H, Huang Y, Zou H, Du Y, Hua L, Tang H, Zhou H, Yao Z, Lu Q. The sex differences in anhedonia in major depressive disorder: A resting-state fMRI study. J Affect Disord 2023; 340:555-566. [PMID: 37591350 DOI: 10.1016/j.jad.2023.08.083] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 07/23/2023] [Accepted: 08/14/2023] [Indexed: 08/19/2023]
Abstract
OBJECTIVE The external behavioural manifestations and internal neural mechanisms of anhedonia are sexually dimorphic. This study aimed to explore the sex differences in the regional brain neuroimaging features of anhedonia in the context of major depressive disorder (MDD). METHOD The resting-fMRI by applying amplitude of low-frequency fluctuation (ALFF) method was estimated in 414 patients with MDD (281 high anhedonia [HA], 133 low anhedonia [LA]) and 213 healthy controls (HC). The effects of two factors in patients with MDD were analysed using a 2 (sex: male, female) × 2 (group: HA, LA) ANOVA concerning the brain regions in which statistical differences were identified between patients with MDD and HC. We followed up with patients with HA at baseline, and 43 patients completed a second fMRI scan in remission. Paired t-test was performed to compare the ALFF values of anhedonia-related brain regions between the baseline and remission periods. RESULTS For the sex-by-group interaction, the bilateral insula, right hippocampus, right post cingulum cortex, and left putamen showed significant differences. Furthermore, the abnormally elevated ALFF values in anhedonia-related brain regions at baseline decreased in remission. CONCLUSION Our findings point to the fact that the females showed unique patterns of anhedonia-related brain activity compared to males, which may have clinical implications for interfering with the anhedonia symptoms in MDD. Using task fMRI, we can further examine the distinct characteristics between consumption anhedonia and anticipation anhedonia in MDD.
Collapse
Affiliation(s)
- Xiaoqin Wang
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China
| | - Yi Xia
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China
| | - Rui Yan
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China
| | - Hao Sun
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China; Nanjing Brain Hospital, Medical School of Nanjing University, 22 Hankou Road, Nanjing 210093, China
| | - Yinghong Huang
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China; Nanjing Brain Hospital, Medical School of Nanjing University, 22 Hankou Road, Nanjing 210093, China
| | - Haowen Zou
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China; Nanjing Brain Hospital, Medical School of Nanjing University, 22 Hankou Road, Nanjing 210093, China
| | - Yishan Du
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China
| | - Lingling Hua
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China
| | - Hao Tang
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China
| | - Hongliang Zhou
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China
| | - Zhijian Yao
- The Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing 210029, China; Nanjing Brain Hospital, Medical School of Nanjing University, 22 Hankou Road, Nanjing 210093, China; School of Biological Sciences and Medical Engineering, Southeast University, 2 sipailou, Nanjing 210096, China.
| | - Qing Lu
- School of Biological Sciences and Medical Engineering, Southeast University, 2 sipailou, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, Nanjing 210096, China.
| |
Collapse
|
23
|
Xu Z, Li Y, Fan X, Xu W, Liu J, Li J. Disrupted functional connectivity of the striatum in patients with diffuse axonal injury: a resting-state functional MRI study. Neuroreport 2023; 34:792-800. [PMID: 37756204 PMCID: PMC10538614 DOI: 10.1097/wnr.0000000000001956] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 09/07/2023] [Indexed: 09/29/2023]
Abstract
Diffuse axonal injury (DAI) disrupts the integrity of white matter microstructure and affects brain functional connectivity, resulting in persistent cognitive, behavioral and affective deficits. Mounting evidence suggests that altered cortical-subcortical connectivity is a major contributor to cognitive dysfunction. The functional integrity of the striatum is particularly vulnerable to DAI, but has received less attention. This study aimed to investigate the alteration patterns of striatal subdivision functional connectivity. Twenty-six patients with DAI and 27 healthy controls underwent resting-state fMRI scans on a 3.0 T scanner. We assessed striatal subdivision functional connectivity using a seed-based analysis in DAI. Furthermore, a partial correlation was used to measure its clinical association. Compared to controls, patients with DAI showed decreased functional connectivity between the right inferior ventral striatum and right inferior frontal gyrus, as well as the right inferior parietal lobule, between the left inferior ventral striatum and right inferior frontal gyrus, between the right superior ventral striatum and bilateral cerebellar posterior lobe, between the bilateral dorsal caudal putamen and right anterior cingulate gyrus, and between the right dorsal caudal putamen and right inferior parietal lobule. Moreover, decreased functional connectivity was observed between the left dorsal caudate and the right cerebellar posterior lobe, while increased functional connectivity was found between the left dorsal caudate and right inferior parietal lobule. Correlation analyses showed that regions with functional connectivity differences in the DAI group correlated with multiple clinical scoring scales, including cognition, motor function, agitated behavior, and anxiety disorders. These findings suggest that abnormalities in cortico-striatal and cerebellar-striatal functional connectivity are observed in patients with DAI, enriching our understanding of the neuropathological mechanisms of post-injury cognitive disorders and providing potential neuroimaging markers for the diagnosis and treatment of DAI.
Collapse
Affiliation(s)
- Zhigang Xu
- Department of Radiology, Fifth Hospital of Fuzhou Jianqiang
| | - Ye Li
- Department of Radiology, First Affiliated Hospital of Nanchang University
| | - Xiaole Fan
- Department of Ultrasound, the First Affiliated Hospital, Jinan University
| | - Wenhua Xu
- Department of Radiology, Fifth Hospital of Fuzhou Jianqiang
| | - Jinliang Liu
- Department of Radiology, Fifth Hospital of Fuzhou Jianqiang
| | - Jian Li
- Department of Radiology, First Affiliated Hospital of Nanchang University
- Clinical Research Center For Medical Imaging In Jiangxi Province, Nanchang, China
| |
Collapse
|
24
|
Phillips RD, Walsh EC, Zürcher NR, Lalush DS, Kinard JL, Tseng CE, Cernasov PM, Kan D, Cummings K, Kelley L, Campbell D, Dillon DG, Pizzagalli DA, Izquierdo-Garcia D, Hooker JM, Smoski MJ, Dichter GS. Striatal dopamine in anhedonia: A simultaneous [ 11C]raclopride positron emission tomography and functional magnetic resonance imaging investigation. Psychiatry Res Neuroimaging 2023; 333:111660. [PMID: 37301129 PMCID: PMC10594643 DOI: 10.1016/j.pscychresns.2023.111660] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 04/21/2023] [Accepted: 05/18/2023] [Indexed: 06/12/2023]
Abstract
BACKGROUND Anhedonia is hypothesized to be associated with blunted mesocorticolimbic dopamine (DA) functioning in samples with major depressive disorder. The purpose of this study was to examine linkages between striatal DA, reward circuitry functioning, anhedonia, and, in an exploratory fashion, self-reported stress, in a transdiagnostic anhedonic sample. METHODS Participants with (n = 25) and without (n = 12) clinically impairing anhedonia completed a reward-processing task during simultaneous positron emission tomography and magnetic resonance (PET-MR) imaging with [11C]raclopride, a DA D2/D3 receptor antagonist that selectively binds to striatal DA receptors. RESULTS Relative to controls, the anhedonia group exhibited decreased task-related DA release in the left putamen, caudate, and nucleus accumbens and right putamen and pallidum. There were no group differences in task-related brain activation (fMRI) during reward processing after correcting for multiple comparisons. General functional connectivity (GFC) findings revealed blunted fMRI connectivity between PET-derived striatal seeds and target regions in the anhedonia group. Associations were identified between anhedonia severity and the magnitude of task-related DA release to rewards in the left putamen, but not mesocorticolimbic GFC. CONCLUSIONS Results provide evidence for reduced striatal DA functioning during reward processing and blunted mesocorticolimbic network functional connectivity in a transdiagnostic sample with clinically significant anhedonia.
Collapse
Affiliation(s)
- Rachel D Phillips
- Department of Psychology and Neuroscience, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States.
| | - Erin C Walsh
- Department of Psychiatry, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Nicole R Zürcher
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States
| | - David S Lalush
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Raleigh, NC, United States
| | - Jessica L Kinard
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, Chapel Hill, NC, United States
| | - Chieh-En Tseng
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States
| | - Paul M Cernasov
- Department of Psychology and Neuroscience, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Delia Kan
- Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, Chapel Hill, NC, United States
| | - Kaitlin Cummings
- Department of Psychology and Neuroscience, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States
| | - Lisalynn Kelley
- Department of Psychiatry & Behavioral Sciences, Duke University, Durham, NC, United States
| | - David Campbell
- Department of Psychiatry & Behavioral Sciences, Duke University, Durham, NC, United States
| | - Daniel G Dillon
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, United States
| | - Diego A Pizzagalli
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, United States
| | - David Izquierdo-Garcia
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States
| | - Jacob M Hooker
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States
| | - Moria J Smoski
- Department of Psychiatry & Behavioral Sciences, Duke University, Durham, NC, United States
| | - Gabriel S Dichter
- Department of Psychology and Neuroscience, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States; Department of Psychiatry, University of North Carolina-Chapel Hill, Chapel Hill, NC, United States; Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, Chapel Hill, NC, United States
| |
Collapse
|
25
|
Kong Q, Sacca V, Zhu M, Ursitti AK, Kong J. Anatomical and Functional Connectivity of Critical Deep Brain Structures and Their Potential Clinical Application in Brain Stimulation. J Clin Med 2023; 12:4426. [PMID: 37445460 DOI: 10.3390/jcm12134426] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 06/22/2023] [Accepted: 06/23/2023] [Indexed: 07/15/2023] Open
Abstract
Subcortical structures, such as the hippocampus, amygdala, and nucleus accumbens (NAcc), play crucial roles in human cognitive, memory, and emotional processing, chronic pain pathophysiology, and are implicated in various psychiatric and neurological diseases. Interventions modulating the activities of these deep brain structures hold promise for improving clinical outcomes. Recently, non-invasive brain stimulation (NIBS) has been applied to modulate brain activity and has demonstrated its potential for treating psychiatric and neurological disorders. However, modulating the above deep brain structures using NIBS may be challenging due to the nature of these stimulations. This study attempts to identify brain surface regions as source targets for NIBS to reach these deep brain structures by integrating functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI). We used resting-state functional connectivity (rsFC) and probabilistic tractography (PTG) analysis to identify brain surface stimulation targets that are functionally and structurally connected to the hippocampus, amygdala, and NAcc in 119 healthy participants. Our results showed that the medial prefrontal cortex (mPFC) is functionally and anatomically connected to all three subcortical regions, while the precuneus is connected to the hippocampus and amygdala. The mPFC and precuneus, two key hubs of the default mode network (DMN), as well as other cortical areas distributed at the prefrontal cortex and the parietal, temporal, and occipital lobes, were identified as potential locations for NIBS to modulate the function of these deep structures. The findings may provide new insights into the NIBS target selections for treating psychiatric and neurological disorders and chronic pain.
Collapse
Affiliation(s)
- Qiao Kong
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Building 120, 2nd Ave., Charlestown, MA 02129, USA
| | - Valeria Sacca
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Building 120, 2nd Ave., Charlestown, MA 02129, USA
| | - Meixuan Zhu
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Building 120, 2nd Ave., Charlestown, MA 02129, USA
| | - Amy Katherine Ursitti
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Building 120, 2nd Ave., Charlestown, MA 02129, USA
| | - Jian Kong
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Building 120, 2nd Ave., Charlestown, MA 02129, USA
| |
Collapse
|
26
|
Chu Z, Yuan L, He M, Cheng Y, Lu Y, Xu X, Shen Z. Atrophy of bilateral nucleus accumbens in melancholic depression. Neuroreport 2023; 34:493-500. [PMID: 37270840 DOI: 10.1097/wnr.0000000000001915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Evidence from previous literature suggests that the nucleus accumbens (NAc), hippocampus, and amygdala play critical roles in the reward circuit. Meanwhile, it was also suggested that abnormalities in the reward circuit might be closely associated with the symptom of anhedonia of depression. However, few studies have investigated the structural alterations of the NAc, hippocampus, and amygdala in depression with anhedonia as the main clinical manifestation. Thus, the current study aimed to explore the structural changes of the subcortical regions among melancholic depression (MD) patients, especially in the NAc, hippocampus, and amygdala, to provide a theoretical basis for understanding the pathological mechanisms of MD. Seventy-two MD patients, 74 nonmelancholic depression (NMD) patients, and 81 healthy controls (HCs) matched for sex, age, and years of education were included in the study. All participants underwent T1-weighted MRI scans. Subcortical structure segmentation was performed using the FreeSurfer software. MD and NMD patients had reduced left hippocampal volume compared with HCs. Meanwhile, only MD patients had reduced bilateral NAc volumes. Moreover, correlation analyses showed correlations between left NAc volume and late insomnia and lassitude in MD patients. The reduced hippocampal volume may be related to the pathogenesis of major depressive disorder (MDD), and the reduced volume of the NAc may be the unique neural mechanism of MD. The findings of the current study suggest that future studies should investigate the different pathogenic mechanisms of different subtypes of MDD further to contribute to the development of individualized diagnostic and treatment protocols.
Collapse
Affiliation(s)
- Zhaosong Chu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University
- Yunnan Clinical Research Center for Mental Disorders
| | - Lijin Yuan
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University
- Yunnan Clinical Research Center for Mental Disorders
| | - Mengxin He
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University
- Yunnan Clinical Research Center for Mental Disorders
| | - Yuqi Cheng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University
- Yunnan Clinical Research Center for Mental Disorders
| | - Yi Lu
- Department of Medical Imaging, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Xiufeng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University
- Yunnan Clinical Research Center for Mental Disorders
| | - Zonglin Shen
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University
- Yunnan Clinical Research Center for Mental Disorders
| |
Collapse
|
27
|
Nakamura Y, Ishida T, Tanaka SC, Mitsuyama Y, Yokoyama S, Shinzato H, Itai E, Okada G, Kobayashi Y, Kawashima T, Miyata J, Yoshihara Y, Takahashi H, Aoki R, Nakamura M, Ota H, Itahashi T, Morita S, Kawakami S, Abe O, Okada N, Kunimatsu A, Yamashita A, Yamashita O, Imamizu H, Morimoto J, Okamoto Y, Murai T, Hashimoto R, Kasai K, Kawato M, Koike S. Distinctive alterations in the mesocorticolimbic circuits in various psychiatric disorders. Psychiatry Clin Neurosci 2023; 77:345-354. [PMID: 36905180 PMCID: PMC11488596 DOI: 10.1111/pcn.13542] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 03/03/2023] [Accepted: 03/07/2023] [Indexed: 03/12/2023]
Abstract
AIM Increasing evidence suggests that psychiatric disorders are linked to alterations in the mesocorticolimbic dopamine-related circuits. However, the common and disease-specific alterations remain to be examined in schizophrenia (SCZ), major depressive disorder (MDD), and autism spectrum disorder (ASD). Thus, this study aimed to examine common and disease-specific features related to mesocorticolimbic circuits. METHODS This study included 555 participants from four institutes with five scanners: 140 individuals with SCZ (45.0% female), 127 individuals with MDD (44.9%), 119 individuals with ASD (15.1%), and 169 healthy controls (HC) (34.9%). All participants underwent resting-state functional magnetic resonance imaging. A parametric empirical Bayes approach was adopted to compare estimated effective connectivity among groups. Intrinsic effective connectivity focusing on the mesocorticolimbic dopamine-related circuits including the ventral tegmental area (VTA), shell and core parts of the nucleus accumbens (NAc), and medial prefrontal cortex (mPFC) were examined using a dynamic causal modeling analysis across these psychiatric disorders. RESULTS The excitatory shell-to-core connectivity was greater in all patients than in the HC group. The inhibitory shell-to-VTA and shell-to-mPFC connectivities were greater in the ASD group than in the HC, MDD, and SCZ groups. Furthermore, the VTA-to-core and VTA-to-shell connectivities were excitatory in the ASD group, while those connections were inhibitory in the HC, MDD, and SCZ groups. CONCLUSION Impaired signaling in the mesocorticolimbic dopamine-related circuits could be an underlying neuropathogenesis of various psychiatric disorders. These findings will improve the understanding of unique neural alternations of each disorder and will facilitate identification of effective therapeutic targets.
Collapse
Affiliation(s)
- Yuko Nakamura
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and SciencesUniversity of TokyoTokyoJapan
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM)TokyoJapan
| | - Takuya Ishida
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and SciencesUniversity of TokyoTokyoJapan
- Department of NeuropsychiatryGraduate School of Wakayama Medical UniversityWakayamaJapan
| | - Saori C. Tanaka
- Brain Information Communication Research Laboratory GroupAdvanced Telecommunications Research Institutes International (ATR)KyotoJapan
- Information Science, Graduate School of Science and TechnologyNara Institute of Science and TechnologyNaraJapan
| | - Yuki Mitsuyama
- Department of Psychiatry and NeurosciencesHiroshima UniversityHiroshimaJapan
| | - Satoshi Yokoyama
- Department of Psychiatry and NeurosciencesHiroshima UniversityHiroshimaJapan
| | - Hotaka Shinzato
- Department of Psychiatry and NeurosciencesHiroshima UniversityHiroshimaJapan
| | - Eri Itai
- Department of Psychiatry and NeurosciencesHiroshima UniversityHiroshimaJapan
| | - Go Okada
- Department of Psychiatry and NeurosciencesHiroshima UniversityHiroshimaJapan
| | - Yuko Kobayashi
- Department of Psychiatry, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Takahiko Kawashima
- Department of Psychiatry, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Jun Miyata
- Department of Psychiatry, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Yujiro Yoshihara
- Department of Psychiatry, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Hidehiko Takahashi
- Department of Psychiatry and Behavioral SciencesTokyo Medical and Dental UniversityTokyoJapan
| | - Ryuta Aoki
- Medical Institute of Developmental Disabilities ResearchShowa UniversityTokyoJapan
| | - Motoaki Nakamura
- Medical Institute of Developmental Disabilities ResearchShowa UniversityTokyoJapan
| | - Haruhisa Ota
- Medical Institute of Developmental Disabilities ResearchShowa UniversityTokyoJapan
| | - Takashi Itahashi
- Medical Institute of Developmental Disabilities ResearchShowa UniversityTokyoJapan
| | - Susumu Morita
- Department of Neuropsychiatry, Graduate School of MedicineUniversity of TokyoTokyoJapan
| | - Shintaro Kawakami
- Department of Neuropsychiatry, Graduate School of MedicineUniversity of TokyoTokyoJapan
| | - Osamu Abe
- Department of Radiology, Graduate School of Medicinethe University of TokyoTokyoJapan
| | - Naohiro Okada
- The International Research Center for Neurointelligence (WPI‐IRCN), Institutes for Advanced Study (UTIAS)University of TokyoTokyoJapan
| | - Akira Kunimatsu
- Department of RadiologyInternational University of Health and Welfare Mita HospitalTokyoJapan
| | - Ayumu Yamashita
- Brain Information Communication Research Laboratory GroupAdvanced Telecommunications Research Institutes International (ATR)KyotoJapan
- Department of PsychiatryBoston University School of MedicineBostonMassachusettsUSA
| | - Okito Yamashita
- Brain Information Communication Research Laboratory GroupAdvanced Telecommunications Research Institutes International (ATR)KyotoJapan
- Center for Advanced Intelligence ProjectRIKENTokyoJapan
| | - Hiroshi Imamizu
- Brain Information Communication Research Laboratory GroupAdvanced Telecommunications Research Institutes International (ATR)KyotoJapan
- Department of Psychology, Graduate School of Humanities and Sociologythe University of TokyoTokyoJapan
| | - Jun Morimoto
- Brain Information Communication Research Laboratory GroupAdvanced Telecommunications Research Institutes International (ATR)KyotoJapan
- Department of Systems Science, Graduate School of InformaticsKyoto UniversityKyotoJapan
| | - Yasumasa Okamoto
- Department of Psychiatry and NeurosciencesHiroshima UniversityHiroshimaJapan
| | - Toshiya Murai
- Department of Psychiatry, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Ryu‐Ichiro Hashimoto
- Medical Institute of Developmental Disabilities ResearchShowa UniversityTokyoJapan
- Department of Language SciencesTokyo Metropolitan UniversityTokyoJapan
| | - Kiyoto Kasai
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and SciencesUniversity of TokyoTokyoJapan
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM)TokyoJapan
- Department of Neuropsychiatry, Graduate School of MedicineUniversity of TokyoTokyoJapan
- The International Research Center for Neurointelligence (WPI‐IRCN), Institutes for Advanced Study (UTIAS)University of TokyoTokyoJapan
| | - Mitsuo Kawato
- Brain Information Communication Research Laboratory GroupAdvanced Telecommunications Research Institutes International (ATR)KyotoJapan
| | - Shinsuke Koike
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and SciencesUniversity of TokyoTokyoJapan
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM)TokyoJapan
- The International Research Center for Neurointelligence (WPI‐IRCN), Institutes for Advanced Study (UTIAS)University of TokyoTokyoJapan
| |
Collapse
|
28
|
Dai T, Seewoo BJ, Hennessy LA, Bolland SJ, Rosenow T, Rodger J. Identifying reproducible resting state networks and functional connectivity alterations following chronic restraint stress in anaesthetized rats. Front Neurosci 2023; 17:1151525. [PMID: 37284657 PMCID: PMC10239969 DOI: 10.3389/fnins.2023.1151525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 04/27/2023] [Indexed: 06/08/2023] Open
Abstract
Background Resting-state functional MRI (rs-fMRI) in rodent models have the potential to bridge invasive experiments and observational human studies, increasing our understanding of functional alterations in the brains of patients with depression. A major limitation in current rodent rs-fMRI studies is that there has been no consensus on healthy baseline resting-state networks (RSNs) that are reproducible in rodents. Therefore, the present study aimed to construct reproducible RSNs in a large dataset of healthy rats and then evaluate functional connectivity changes within and between these RSNs following a chronic restraint stress (CRS) model within the same animals. Methods A combined MRI dataset of 109 Sprague Dawley rats at baseline and after two weeks of CRS, collected during four separate experiments conducted by our lab in 2019 and 2020, was re-analysed. The mICA and gRAICAR toolbox were first applied to detect optimal and reproducible ICA components and then a hierarchical clustering algorithm (FSLNets) was applied to construct reproducible RSNs. Ridge-regularized partial correlation (FSLNets) was used to evaluate the changes in the direct connection between and within identified networks in the same animals following CRS. Results Four large-scale networks in anesthetised rats were identified: the DMN-like, spatial attention-limbic, corpus striatum, and autonomic network, which are homologous across species. CRS decreased the anticorrelation between DMN-like and autonomic network. CRS decreased the correlation between amygdala and a functional complex (nucleus accumbens and ventral pallidum) in the right hemisphere within the corpus striatum network. However, a high individual variability in the functional connectivity before and after CRS within RSNs was observed. Conclusion The functional connectivity changes detected in rodents following CRS differ from reported functional connectivity alterations in patients with depression. A simple interpretation of this difference is that the rodent response to CRS does not reflect the complexity of depression as it is experienced by humans. Nonetheless, the high inter-subject variability of functional connectivity within networks suggests that rats demonstrate different neural phenotypes, like humans. Therefore, future efforts in classifying neural phenotypes in rodents might improve the sensitivity and translational impact of models used to address aetiology and treatment of psychiatric conditions including depression.
Collapse
Affiliation(s)
- Twain Dai
- School of Biological Sciences, University of Western Australia, Perth, WA, Australia
- Perron Institute for Neurological and Translational Science, University of Western Australia, Perth, WA, Australia
| | - Bhedita J. Seewoo
- School of Biological Sciences, University of Western Australia, Perth, WA, Australia
- Minderoo Foundation, Perth, WA, Australia
| | - Lauren A. Hennessy
- School of Biological Sciences, University of Western Australia, Perth, WA, Australia
- Perron Institute for Neurological and Translational Science, University of Western Australia, Perth, WA, Australia
| | - Samuel J. Bolland
- School of Biological Sciences, University of Western Australia, Perth, WA, Australia
- Perron Institute for Neurological and Translational Science, University of Western Australia, Perth, WA, Australia
| | - Tim Rosenow
- Centre for Microscopy, Characterisation and Analysis, Research Infrastructure Centres, University of Western Australia, Perth, WA, Australia
| | - Jennifer Rodger
- School of Biological Sciences, University of Western Australia, Perth, WA, Australia
- Perron Institute for Neurological and Translational Science, University of Western Australia, Perth, WA, Australia
| |
Collapse
|
29
|
Dennison JB, Tepfer LJ, Smith DV. Tensorial independent component analysis reveals social and reward networks associated with major depressive disorder. Hum Brain Mapp 2023; 44:2905-2920. [PMID: 36880638 PMCID: PMC10089091 DOI: 10.1002/hbm.26254] [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: 08/08/2022] [Revised: 02/09/2023] [Accepted: 02/10/2023] [Indexed: 03/08/2023] Open
Abstract
Major depressive disorder (MDD) has been associated with changes in functional brain connectivity. Yet, typical analyses of functional connectivity, such as spatial independent components analysis (ICA) for resting-state data, often ignore sources of between-subject variability, which may be crucial for identifying functional connectivity patterns associated with MDD. Typically, methods like spatial ICA will identify a single component to represent a network like the default mode network (DMN), even if groups within the data show differential DMN coactivation. To address this gap, this project applies a tensorial extension of ICA (tensorial ICA)-which explicitly incorporates between-subject variability-to identify functionally connected networks using functional MRI data from the Human Connectome Project (HCP). Data from the HCP included individuals with a diagnosis of MDD, a family history of MDD, and healthy controls performing a gambling and social cognition task. Based on evidence associating MDD with blunted neural activation to rewards and social stimuli, we predicted that tensorial ICA would identify networks associated with reduced spatiotemporal coherence and blunted social and reward-based network activity in MDD. Across both tasks, tensorial ICA identified three networks showing decreased coherence in MDD. All three networks included ventromedial prefrontal cortex, striatum, and cerebellum and showed different activation across the conditions of their respective tasks. However, MDD was only associated with differences in task-based activation in one network from the social task. Additionally, these results suggest that tensorial ICA could be a valuable tool for understanding clinical differences in relation to network activation and connectivity.
Collapse
Affiliation(s)
- Jeff B. Dennison
- Department of Psychology & NeuroscienceTemple UniversityPhiladelphiaPennsylvaniaUSA
| | - Lindsey J. Tepfer
- Department of Psychological and Brain ScienceDartmouth UniversityHanoverNew HampshireUSA
| | - David V. Smith
- Department of Psychology & NeuroscienceTemple UniversityPhiladelphiaPennsylvaniaUSA
| |
Collapse
|
30
|
Hu Y, Zhao C, Zhao H, Qiao J. Abnormal functional connectivity of the nucleus accumbens subregions mediates the association between anhedonia and major depressive disorder. BMC Psychiatry 2023; 23:282. [PMID: 37085792 PMCID: PMC10122393 DOI: 10.1186/s12888-023-04693-0] [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: 11/10/2022] [Accepted: 03/17/2023] [Indexed: 04/23/2023] Open
Abstract
BACKGROUND The nucleus accumbens (Nac) is a crucial brain region in the pathophysiology of major depressive disorder (MDD) patients with anhedonia. However, the relationship between the functional imaging characteristics of Nac subregions and anhedonia remains unclear. Thus, this study aimed to investigate the role of resting-state functional connectivity (rsFC) of the Nac subregions between MDD and anhedonia. METHODS We performed resting-state functional magnetic resonance imaging (fMRI) to measure the rsFC of Nac subregions in 55 MDD patients and 30 healthy controls (HCs). A two-sample t test was performed to determine the brain regions with varying rsFC among Nac subregions between groups. Then, correlation analyses were carried out to investigate the relationships between the aberrant rsFC of Nac subregions and the severity of anhedonia. Furthermore, we constructed a mediation model to explain the role of the aberrant rsFC of Nac subregions between MDD and the severity of anhedonia. RESULTS Compared with the HC group, decreased rsFC of Nac subregions with regions of the prefrontal cortex, insula, lingual gyrus, and visual association cortex was observed in MDD patients. In the MDD group, the rsFC of the right Nac shell-like subregions with the middle frontal gyrus (MFG)/superior frontal gyrus (SFG) was correlated with consummatory anhedonia, and the rsFC of the Nac core-like subdivisions with the inferior frontal gyrus (IFG)/insula and lingual gyrus/visual association cortex was correlated with anticipatory anhedonia. More importantly, the functional alterations in the Nac subregions mediated the association between anhedonia and depression. CONCLUSIONS The present findings suggest that the functional alteration of the Nac subregions mediates the association between MDD and anhedonia, which provides evidence for the hypothesis that MDD patients have neurobiological underpinnings of reward systems that differ from those of HCs.
Collapse
Affiliation(s)
- Yanqin Hu
- Department of Psychiatry, First Clinical College, Xuzhou Medical University, Xuzhou, 221000, China
| | - Chaoqi Zhao
- Department of Psychiatry, First Clinical College, Xuzhou Medical University, Xuzhou, 221000, China
| | - Houfeng Zhao
- Department of Psychiatry, the Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou, 221000, China.
- Department of Medical Psychology, Second Clinical College, Xuzhou Medical University, Xuzhou, 221000, China.
| | - Juan Qiao
- Department of Psychiatry, the Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou, 221000, China.
- Department of Medical Psychology, Second Clinical College, Xuzhou Medical University, Xuzhou, 221000, China.
| |
Collapse
|
31
|
Hu C, Dewey BE, Mowry EM, Fitzgerald KC. Deep gray matter substructure volumes and depressive symptoms in a large multiple sclerosis cohort. Mult Scler 2023:13524585221148144. [PMID: 36691798 DOI: 10.1177/13524585221148144] [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: 01/25/2023]
Abstract
BACKGROUND Consistent findings on underlying brain features or specific structural atrophy patterns contributing to depression in multiple sclerosis (MS) are limited. OBJECTIVE To investigate how deep gray matter (DGM) features predict depressive symptom trajectories in MS patients. METHODS We used data from the MS Partners Advancing Technology and Health Solutions (MS PATHS) network in which standardized patient information and outcomes are collected. We performed whole-brain segmentation using SLANT-CRUISE. We assessed if DGM structures were associated with elevated depressive symptoms over follow-up and with depressive symptom phenotypes. RESULTS We included 3844 participants (average age: 46.05 ± 11.83 years; 72.7% female) of whom 1905 (49.5%) experienced ⩾1 periods of elevated depressive symptoms over 2.6 ± 0.9 years mean follow-up. Higher caudate, putamen, accumbens, ventral diencephalon, thalamus, and amygdala volumes were associated with lower odds of elevated depressive symptoms over follow-up (odds ratio (OR) range per 1 SD (standard deviation) increase in volume: 0.88-0.94). For example, a 1 SD increase in accumbens or caudate volume was associated with 12% or 10% respective lower odds of having a period of elevated depressive symptoms over follow-up (for accumbens: OR: 0.88; 95% confidence interval (CI): 0.83-0.93; p < 0.001; for caudate: OR: 0.90; 95% CI: 0.85-0.96; p = 0.003). CONCLUSION Lower DGM volumes were associated with depressive symptom trajectories in MS.
Collapse
Affiliation(s)
- Chen Hu
- Division of Neuroimmunology and Neurological Infections, Departments of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Blake E Dewey
- Division of Neuroimmunology and Neurological Infections, Departments of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ellen M Mowry
- Division of Neuroimmunology and Neurological Infections, Departments of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kathryn C Fitzgerald
- Division of Neuroimmunology and Neurological Infections, Departments of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA/Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| |
Collapse
|
32
|
Hung CI, Wu CT, Chao YP. Differences in gray matter volumes of subcortical nuclei between major depressive disorder with and without persistent depressive disorder. J Affect Disord 2023; 321:161-166. [PMID: 36272460 DOI: 10.1016/j.jad.2022.10.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 10/01/2022] [Accepted: 10/17/2022] [Indexed: 11/17/2022]
Abstract
OBJECTIVE This study aimed to compare the differences in gray matter volumes (GMVs) of subcortical nuclei between major depressive disorder (MDD) patients with and without persistent depressive disorder (PDD) at long-term follow-up. METHODS 114 and 94 subjects with MDD, including 48 and 41 with comorbid PDD, were enrolled to undergo high-resolution T1-weighted imaging at first (FIP) and second (three years later, SIP) investigation points, respectively. FreeSurfer was used to extract the GMVs of seven subcortical nuclei, and Generalized Estimating Equation models were employed to estimate the differences in GMVs of subcortical nuclei between the two subgroups. RESULTS The PDD subgroup had a significantly greater depressive severity and a higher percentage of patients undergoing pharmacotherapy at the FIP as compared with the non-PDD subgroup. These differences became insignificant at the SIP. The PDD subgroup had a significantly (p < 0.003) smaller GMV in the right putamen at the SIP and in the right nucleus accumbens (NAc) at the FIP and SIP as compared with the non-PDD subgroup. After controlling for clinical variables, PDD was independently associated with smaller GMVs in the right putamen and NAc. LIMITATIONS Imaging was not performed at baseline and pharmacotherapy was not controlled at the FIP and SIP. CONCLUSIONS MDD with PDD was associated with smaller GMVs in the right putamen and NAc as compared with MDD without PDD. Whether the two regions are biomarkers related to a poor prognosis and the chronicity of depression requires further study.
Collapse
Affiliation(s)
- Ching-I Hung
- Department of Psychiatry, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chen-Te Wu
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Yi-Ping Chao
- Graduate Institute of Biomedical Engineering, Chang Gung University, Taoyuan, Taiwan; Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan; Department of Neurology, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.
| |
Collapse
|
33
|
Cahart M, O'Daly O, Giampietro V, Timmers M, Streffer J, Einstein S, Zelaya F, Dell'Acqua F, Williams SCR. Comparing the test-retest reliability of resting-state functional magnetic resonance imaging metrics across single band and multiband acquisitions in the context of healthy aging. Hum Brain Mapp 2022; 44:1901-1912. [PMID: 36546653 PMCID: PMC9980889 DOI: 10.1002/hbm.26180] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 11/17/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022] Open
Abstract
The identification of meaningful functional magnetic resonance imaging (fMRI) biomarkers requires measures that reliably capture brain performance across different subjects and over multiple scanning sessions. Recent developments in fMRI acquisition, such as the introduction of multiband (MB) protocols and in-plane acceleration, allow for increased scanning speed and improved temporal resolution. However, they may also lead to reduced temporal signal to noise ratio and increased signal leakage between simultaneously excited slices. These methods have been adopted in several scanning modalities including diffusion weighted imaging and fMRI. To our knowledge, no study has formally compared the reliability of the same resting-state fMRI (rs-fMRI) metrics (amplitude of low-frequency fluctuations; seed-to-voxel and region of interest [ROI]-to-ROI connectivity) across conventional single-band fMRI and different MB acquisitions, with and without in-plane acceleration, across three sessions. In this study, 24 healthy older adults were scanned over three visits, on weeks 0, 1, and 4, and, on each occasion, underwent a conventional single band rs-fMRI scan and three different rs-fMRI scans with MB factors 4 and 6, with and without in-plane acceleration. Across all three rs-fMRI metrics, the reliability scores were highest with MB factor 4 with no in-plane acceleration for cortical areas and with conventional single band for subcortical areas. Recommendations for future research studies are discussed.
Collapse
Affiliation(s)
- Marie‐Stephanie Cahart
- Neuroimaging DepartmentInstitute of Psychiatry, Psychology and Neuroscience, Kings College LondonLondonUK
| | - Owen O'Daly
- Neuroimaging DepartmentInstitute of Psychiatry, Psychology and Neuroscience, Kings College LondonLondonUK
| | - Vincent Giampietro
- Neuroimaging DepartmentInstitute of Psychiatry, Psychology and Neuroscience, Kings College LondonLondonUK
| | - Maarten Timmers
- Division of Janssen Pharmaceutica NVJanssen Research and DevelopmentBeerseBelgium
| | - Johannes Streffer
- AC Immune SALausanneSwitzerland
- Reference Center for Biological Markers of Dementia (BIODEM)University of AntwerpAntwerpBelgium
| | | | - Fernando Zelaya
- Neuroimaging DepartmentInstitute of Psychiatry, Psychology and Neuroscience, Kings College LondonLondonUK
| | - Flavio Dell'Acqua
- Natbrainlab; Forensic and Neurodevelopmental Sciences DepartmentInstitute of Psychiatry, Psychology and Neuroscience, Kings College LondonLondonUK
| | - Steven C. R. Williams
- Neuroimaging DepartmentInstitute of Psychiatry, Psychology and Neuroscience, Kings College LondonLondonUK
| |
Collapse
|
34
|
Fang Z, Mu Q, Wu C, Jia L, Wang Z, Hu S, Xu Y, Huang M, Lu S. The impacts of anhedonia on brain functional alterations in patients with major depressive disorder: A resting-state functional magnetic resonance imaging study of regional homogeneity. J Psychiatr Res 2022; 156:84-90. [PMID: 36244202 DOI: 10.1016/j.jpsychires.2022.10.028] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 10/05/2022] [Accepted: 10/06/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND Anhedonia, as one of the core manifestations of major depressive disorder (MDD), has an effect on prognosis of the disease. However, the neuropathology of MDD is complex and the neural basis of anhedonia remains unclear. The aim of the present study was to investigate the impacts of anhedonia on brain functional alterations in patients with MDD. METHODS A total of 62 individuals including MDD patients with anhedonia (n = 22), MDD patients without anhedonia (n = 20), and healthy controls (HCs, n = 20) were recruited. All participants underwent resting-state functional magnetic resonance imaging scanning and intrinsic brain function was explored by using regional homogeneity (ReHo) method. A two-sample t-test was performed to explore ReHo differences between MDD patients and HCs, then analysis of variance (ANOVA) was introduced to obtain brain regions with significant differences among three groups, and finally post hoc tests were calculated for inter-group comparisons. Correlations between ReHo values of each survived area and clinical characteristics in MDD patients were further analyzed. RESULTS Compared with HCs, MDD showed increased ReHo in the left superior temporal gyrus (STG) and bilateral inferior frontal gyrus (IFG), as well as decreased ReHo in the left superior frontal gyrus (SFG). Interestingly, this relationship was attenuated and no longer significant after consideration for the effect of anhedonia in MDD patients. MDD patients with anhedonia were more likely to exhibit decreased ReHo in the left SFG and left middle cingulate gyrus (MCG) when comparing to HCs. No significant difference was found between MDD patients without anhedonia and HCs, either the two groups of MDD patients. There was no significant association between ReHo values of each survived area and clinical characteristics in MDD patients. CONCLUSIONS The present results suggest that the impacts of anhedonia on brain functional alterations in MDD should be emphasized and disturbed intrinsic brain function in the frontal-limbic regions may be associated with anhedonia in MDD patients.
Collapse
Affiliation(s)
- Zhe Fang
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, Zhejiang, China; Faculty of Clinical Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Qingli Mu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, Zhejiang, China; Faculty of Clinical Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Congchong Wu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, Zhejiang, China; Faculty of Clinical Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Lili Jia
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, Zhejiang, China; Faculty of Clinical Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; Department of Clinical Psychology, The Fifth Peoples' Hospital of Lin'an District, Hangzhou, Zhejiang, China
| | - Zheng Wang
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, Zhejiang, China
| | - Shaohua Hu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, Zhejiang, China
| | - Yi Xu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, Zhejiang, China.
| | - Manli Huang
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, Zhejiang, China.
| | - Shaojia Lu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, Zhejiang, China.
| |
Collapse
|
35
|
Rossi GN, Guerra LTL, Baker GB, Dursun SM, Saiz JCB, Hallak JEC, dos Santos RG. Molecular Pathways of the Therapeutic Effects of Ayahuasca, a Botanical Psychedelic and Potential Rapid-Acting Antidepressant. Biomolecules 2022; 12:1618. [PMID: 36358968 PMCID: PMC9687782 DOI: 10.3390/biom12111618] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/27/2022] [Accepted: 10/29/2022] [Indexed: 03/30/2025] Open
Abstract
Ayahuasca is a psychoactive brew traditionally used in indigenous and religious rituals and ceremonies in South America for its therapeutic, psychedelic, and entheogenic effects. It is usually prepared by lengthy boiling of the leaves of the bush Psychotria viridis and the mashed stalks of the vine Banisteriopsis caapi in water. The former contains the classical psychedelic N,N-dimethyltryptamine (DMT), which is thought to be the main psychoactive alkaloid present in the brew. The latter serves as a source for β-carbolines, known for their monoamine oxidase-inhibiting (MAOI) properties. Recent preliminary research has provided encouraging results investigating ayahuasca's therapeutic potential, especially regarding its antidepressant effects. On a molecular level, pre-clinical and clinical evidence points to a complex pharmacological profile conveyed by the brew, including modulation of serotoninergic, glutamatergic, dopaminergic, and endocannabinoid systems. Its substances also interact with the vesicular monoamine transporter (VMAT), trace amine-associated receptor 1 (TAAR1), and sigma-1 receptors. Furthermore, ayahuasca's components also seem to modulate levels of inflammatory and neurotrophic factors beneficially. On a biological level, this translates into neuroprotective and neuroplastic effects. Here we review the current knowledge regarding these molecular interactions and how they relate to the possible antidepressant effects ayahuasca seems to produce.
Collapse
Affiliation(s)
- Giordano Novak Rossi
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto 14040-900, Brazil
| | - Lorena T. L. Guerra
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto 14040-900, Brazil
| | - Glen B. Baker
- National Institute of Science and Technology—Translational Medicine, Ribeirão Preto 3900, Brazil
- Department of Psychiatry (Neurochemical Research Unit) and Neuroscience & Mental Health Institute, University of Alberta, Edmonton, AB T6G 2G3, Canada
| | - Serdar M. Dursun
- National Institute of Science and Technology—Translational Medicine, Ribeirão Preto 3900, Brazil
- Department of Psychiatry (Neurochemical Research Unit) and Neuroscience & Mental Health Institute, University of Alberta, Edmonton, AB T6G 2G3, Canada
| | - José Carlos Bouso Saiz
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto 14040-900, Brazil
- ICEERS Foundation, International Center for Ethnobotanical Education, Research and Services, 08015 Barcelona, Spain
- Medical Anthropology Research Center (MARC), Universitat Rovira i Virgili, 43001 Tarragona, Spain
| | - Jaime E. C. Hallak
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto 14040-900, Brazil
- National Institute of Science and Technology—Translational Medicine, Ribeirão Preto 3900, Brazil
- Department of Psychiatry (Neurochemical Research Unit) and Neuroscience & Mental Health Institute, University of Alberta, Edmonton, AB T6G 2G3, Canada
| | - Rafael G. dos Santos
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto 14040-900, Brazil
- National Institute of Science and Technology—Translational Medicine, Ribeirão Preto 3900, Brazil
- ICEERS Foundation, International Center for Ethnobotanical Education, Research and Services, 08015 Barcelona, Spain
- Departamento de Neurociências e Ciências do Comportamento, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Hospital das Clínicas, Terceiro Andar, Av. Bandeirantes, Ribeirão Preto 3900, Brazil
| |
Collapse
|
36
|
Kroemer NB, Opel N, Teckentrup V, Li M, Grotegerd D, Meinert S, Lemke H, Kircher T, Nenadić I, Krug A, Jansen A, Sommer J, Steinsträter O, Small DM, Dannlowski U, Walter M. Functional Connectivity of the Nucleus Accumbens and Changes in Appetite in Patients With Depression. JAMA Psychiatry 2022; 79:993-1003. [PMID: 36001327 PMCID: PMC9403857 DOI: 10.1001/jamapsychiatry.2022.2464] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 06/14/2022] [Indexed: 11/14/2022]
Abstract
Importance Major depressive disorder (MDD) is characterized by a substantial burden on health, including changes in appetite and body weight. Heterogeneity of depressive symptoms has hampered the identification of biomarkers that robustly generalize to most patients, thus calling for symptom-based mapping. Objective To define the functional architecture of the reward circuit subserving increases vs decreases in appetite and body weight in patients with MDD by specifying their contributions and influence on disease biomarkers using resting-state functional connectivity (FC). Design, Setting, and Participants In this case-control study, functional magnetic resonance imaging (fMRI) data were taken from the Marburg-Münster FOR 2107 Affective Disorder Cohort Study (MACS), collected between September 2014 and November 2016. Cross-sectional data of patients with MDD (n = 407) and healthy control participants (n = 400) were analyzed from March 2018 to June 2022. Main Outcomes and Measures Changes in appetite during the depressive episode and their association with FC were examined using fMRI. By taking the nucleus accumbens (NAcc) as seed of the reward circuit, associations with opposing changes in appetite were mapped, and a sparse symptom-specific elastic-net model was built with 10-fold cross-validation. Results Among 407 patients with MDD, 249 (61.2%) were women, and the mean (SD) age was 36.79 (13.4) years. Reduced NAcc-based FC to the ventromedial prefrontal cortex (vmPFC) and the hippocampus was associated with reduced appetite (vmPFC: bootstrap r = 0.13; 95% CI, 0.02-0.23; hippocampus: bootstrap r = 0.15; 95% CI, 0.05-0.26). In contrast, reduced NAcc-based FC to the insular ingestive cortex was associated with increased appetite (bootstrap r = -0.14; 95% CI, -0.24 to -0.04). Critically, the cross-validated elastic-net model reflected changes in appetite based on NAcc FC and explained variance increased with increasing symptom severity (all patients: bootstrap r = 0.24; 95% CI, 0.16-0.31; patients with Beck Depression Inventory score of 28 or greater: bootstrap r = 0.42; 95% CI, 0.25-0.58). In contrast, NAcc FC did not classify diagnosis (MDD vs healthy control). Conclusions and Relevance In this study, NAcc-based FC reflected important individual differences in appetite and body weight in patients with depression that can be leveraged for personalized prediction. However, classification of diagnosis using NAcc-based FC did not exceed chance levels. Such symptom-specific associations emphasize the need to map biomarkers onto more confined facets of psychopathology to improve the classification and treatment of MDD.
Collapse
Affiliation(s)
- Nils B. Kroemer
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Nils Opel
- Department of Psychiatry and Psychotherapy, University Hospital Jena, Jena, Germany
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Vanessa Teckentrup
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany
- Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Meng Li
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany
- Department of Psychiatry and Psychotherapy, University Hospital Jena, Jena, Germany
- Department of Psychiatry and Psychotherapy, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Hannah Lemke
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Jens Sommer
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Olaf Steinsträter
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Dana M. Small
- Departments of Psychiatry and Psychology, Yale University, New Haven, Connecticut
- Modern Diet and Physiology Research Center, Yale University, New Haven, Connecticut
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Martin Walter
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany
- Department of Psychiatry and Psychotherapy, University Hospital Jena, Jena, Germany
- Department of Psychiatry and Psychotherapy, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
| |
Collapse
|
37
|
Ding YD, Chen X, Chen ZB, Li L, Li XY, Castellanos FX, Bai TJ, Bo QJ, Cao J, Chang ZK, Chen GM, Chen NX, Chen W, Cheng C, Cheng YQ, Cui XL, Duan J, Fang YR, Gong QY, Hou ZH, Hu L, Kuang L, Li F, Li HX, Li KM, Li T, Liu YS, Liu ZN, Long YC, Lu B, Luo QH, Meng HQ, Peng DH, Qiu HT, Qiu J, Shen YD, Shi YS, Si TM, Tang YQ, Wang CY, Wang F, Wang K, Wang L, Wang X, Wang Y, Wang YW, Wu XP, Wu XR, Xie CM, Xie GR, Xie HY, Xie P, Xu XF, Yang H, Yang J, Yao JS, Yao SQ, Yin YY, Yuan YG, Zang YF, Zhang AX, Zhang H, Zhang KR, Zhang L, Zhang ZJ, Zhao JP, Zhou RB, Zhou YT, Zhu JJ, Zhu ZC, Zou CJ, Zuo XN, Yan CG, Guo WB. Reduced nucleus accumbens functional connectivity in reward network and default mode network in patients with recurrent major depressive disorder. Transl Psychiatry 2022; 12:236. [PMID: 35668086 PMCID: PMC9170720 DOI: 10.1038/s41398-022-01995-x] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 05/18/2022] [Accepted: 05/25/2022] [Indexed: 02/05/2023] Open
Abstract
The nucleus accumbens (NAc) is considered a hub of reward processing and a growing body of evidence has suggested its crucial role in the pathophysiology of major depressive disorder (MDD). However, inconsistent results have been reported by studies on reward network-focused resting-state functional MRI (rs-fMRI). In this study, we examined functional alterations of the NAc-based reward circuits in patients with MDD via meta- and mega-analysis. First, we performed a coordinated-based meta-analysis with a new SDM-PSI method for all up-to-date rs-fMRI studies that focused on the reward circuits of patients with MDD. Then, we tested the meta-analysis results in the REST-meta-MDD database which provided anonymous rs-fMRI data from 186 recurrent MDDs and 465 healthy controls. Decreased functional connectivity (FC) within the reward system in patients with recurrent MDD was the most robust finding in this study. We also found disrupted NAc FCs in the DMN in patients with recurrent MDD compared with healthy controls. Specifically, the combination of disrupted NAc FCs within the reward network could discriminate patients with recurrent MDD from healthy controls with an optimal accuracy of 74.7%. This study confirmed the critical role of decreased FC in the reward network in the neuropathology of MDD. Disrupted inter-network connectivity between the reward network and DMN may also have contributed to the neural mechanisms of MDD. These abnormalities have potential to serve as brain-based biomarkers for individual diagnosis to differentiate patients with recurrent MDD from healthy controls.
Collapse
Affiliation(s)
- Yu-Dan Ding
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiao Chen
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing, China
| | - Zuo-Bing Chen
- Department of Rehabilitation Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Le Li
- Center for Cognitive Science of Language, Beijing Language and Culture University, Beijing, China
| | - Xue-Ying Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
- Sino-Danish Center for Education and Research, Beijing, China
| | - Francisco Xavier Castellanos
- Department of Child and Adolescent Psychiatry, NYU Grossman School of Medicine, New York, 31 NY, USA
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | | | - Qi-Jing Bo
- Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Jun Cao
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhi-Kai Chang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Guan-Mao Chen
- The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Ning-Xuan Chen
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Wei Chen
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Chang Cheng
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yu-Qi Cheng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Xi-Long Cui
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Jia Duan
- Department of Psychiatry, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, China
| | - Yi-Ru Fang
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qi-Yong Gong
- Huanxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Psychoradiology Research Unit of Chinese Academy of Medical Sciences, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Zheng-Hua Hou
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Lan Hu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Li Kuang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Feng Li
- Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Hui-Xian Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Kai-Ming Li
- Huanxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Tao Li
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yan-Song Liu
- Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Zhe-Ning Liu
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yi-Cheng Long
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Bin Lu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Qing-Hua Luo
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hua-Qing Meng
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Dai-Hui Peng
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hai-Tang Qiu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiang Qiu
- Faculty of Psychology, Southwest University, Chongqing, China
| | - Yue-Di Shen
- Department of Diagnostics, Affiliated Hospital, Hangzhou Normal University Medical School, Hangzhou, Zhejiang, China
| | - Yu-Shu Shi
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Tian-Mei Si
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital) & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Yan-Qing Tang
- Department of Psychiatry, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, China
| | - Chuan-Yue Wang
- Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Fei Wang
- Department of Psychiatry, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, China
| | - Kai Wang
- Anhui Medical University, Hefei, Anhui, China
| | - Li Wang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital) & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Xiang Wang
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Ying Wang
- The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Yu-Wei Wang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | | | - Xin-Ran Wu
- Faculty of Psychology, Southwest University, Chongqing, China
| | - Chun-Ming Xie
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing, Jiangsu, China
| | - Guang-Rong Xie
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Hai-Yan Xie
- Department of Psychiatry, The Fourth Affiliated Hospital, College of Medicine, Zhejiang University, Yiwu, Zhejiang, China
| | - Peng Xie
- Institute of Neuroscience, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiu-Feng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Hong Yang
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jian Yang
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
| | - Jia-Shu Yao
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Shu-Qiao Yao
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Ying-Ying Yin
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Yong-Gui Yuan
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Yu-Feng Zang
- Center for Cognition and Brain Disorders, Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, Zhejiang, China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang, China
| | - Ai-Xia Zhang
- The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Hong Zhang
- Xi'an Central Hospital, Xi'an, Shaanxi, China
| | - Ke-Rang Zhang
- First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Lei Zhang
- Laboratory of Psychological Health and Imaging, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhi-Jun Zhang
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, Nanjing, Jiangsu, China
| | - Jing-Ping Zhao
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Ru-Bai Zhou
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yi-Ting Zhou
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jun-Juan Zhu
- Department of Psychiatry, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhi-Chen Zhu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Chao-Jie Zou
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Xi-Nian Zuo
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Chao-Gan Yan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing, China
- Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Wen-Bin Guo
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
| |
Collapse
|
38
|
PPARα Signaling: A Candidate Target in Psychiatric Disorder Management. Biomolecules 2022; 12:biom12050723. [PMID: 35625650 PMCID: PMC9138493 DOI: 10.3390/biom12050723] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 05/07/2022] [Accepted: 05/18/2022] [Indexed: 02/01/2023] Open
Abstract
Peroxisome proliferator-activator receptors (PPARs) regulate lipid and glucose metabolism, control inflammatory processes, and modulate several brain functions. Three PPAR isoforms have been identified, PPARα, PPARβ/δ, and PPARγ, which are expressed in different tissues and cell types. Hereinafter, we focus on PPARα involvement in the pathophysiology of neuropsychiatric and neurodegenerative disorders, which is underscored by PPARα localization in neuronal circuits involved in emotion modulation and stress response, and its role in neurodevelopment and neuroinflammation. A multiplicity of downstream pathways modulated by PPARα activation, including glutamatergic neurotransmission, upregulation of brain-derived neurotrophic factor, and neurosteroidogenic effects, encompass mechanisms underlying behavioral regulation. Modulation of dopamine neuronal firing in the ventral tegmental area likely contributes to PPARα effects in depression, anhedonia, and autism spectrum disorder (ASD). Based on robust preclinical evidence and the initial results of clinical studies, future clinical trials should assess the efficacy of PPARα agonists in the treatment of mood and neurodevelopmental disorders, such as depression, schizophrenia, and ASD.
Collapse
|
39
|
Barreiros AR, Breukelaar I, Mayur P, Andepalli J, Tomimatsu Y, Funayama K, Foster S, Boyce P, Malhi GS, Harris A, Korgaonkar MS. Abnormal habenula functional connectivity characterizes treatment-resistant depression. Neuroimage Clin 2022; 34:102990. [PMID: 35305499 PMCID: PMC8933564 DOI: 10.1016/j.nicl.2022.102990] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 02/10/2022] [Accepted: 03/14/2022] [Indexed: 11/23/2022]
Abstract
Habenular hyper connectivity characterizes treatment-resistant depression. An interplay between reward and default mode networks is linked to suicidality. Abnormal habenula connectivity is a possible mechanism for anhedonia.
Background A significant proportion of patients with major depressive disorder are resistant to antidepressant medication and psychological treatments. A core symptom of treatment-resistant depression (TRD) is anhedonia, or the inability to feel pleasure, which has been attributed to disrupted habenula function – a component of the reward network. This study aimed to map detailed neural circuitry architecture related to the habenula to identify neural mechanisms of TRD. Methods 35 TRD patients, 35 patients with treatment-sensitive depression (TSD), and 38 healthy controls (HC) underwent resting-state functional magnetic resonance imaging. Functional connectivity analyses were performed using the left and right habenula as seed regions of interest, and the three groups were compared using whole-brain voxel-wise comparisons. Results The TRD group demonstrated hyperconnectivity of the left habenula to the left precuneus cortex and the right precentral gyrus, compared to the TSD group, and to the right precuneus cortex, compared to the TSD and HC groups. In contrast, TSD demonstrated hypoconnectivity than HC for both connectivity measures. These connectivity values were significantly higher in patients with a history of suicidal ideation. Conclusions This study provides evidence that, unlike TSD, TRD is characterized by hyperconnectivity of the left habenula particularly with regions of the default mode network. An increased interplay between reward and default mode networks is linked to suicidality and could be a possible mechanism for anhedonia in hard to treat depression.
Collapse
Affiliation(s)
- Ana Rita Barreiros
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia; Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Australia.
| | - Isabella Breukelaar
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia; School of Psychology, Faculty of Medicine and Health, University of New South Wales, Kensington, NSW, Australia
| | - Prashanth Mayur
- Mood Disorders Unit, Cumberland Hospital, Western Sydney Local Health District, Parramatta, NSW, Australia
| | - Jagadeesh Andepalli
- Mood Disorders Unit, Cumberland Hospital, Western Sydney Local Health District, Parramatta, NSW, Australia
| | | | - Kenta Funayama
- Research, Takeda Pharmaceutical Company Ltd., Kanagawa, Japan
| | - Sheryl Foster
- Department of Radiology, Westmead Hospital, Westmead, NSW, Australia; School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Philip Boyce
- Specialty of Psychiatry, Sydney Medical School, The University of Sydney, Sydney, Australia
| | - Gin S Malhi
- Specialty of Psychiatry, Sydney Medical School, The University of Sydney, Sydney, Australia; CADE Clinic, Department of Psychiatry, Royal North Shore Hospital, Sydney, NSW, Australia; Northern Clinical School, Faculty of Medicine and Health, The University of Sydney, Australia; Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Anthony Harris
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia; Specialty of Psychiatry, Sydney Medical School, The University of Sydney, Sydney, Australia
| | - Mayuresh S Korgaonkar
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia; Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Australia; School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
| |
Collapse
|
40
|
Li Y, Chen Z, Zhao J, Yu H, Chen X, He Y, Tian Y, Wang Y, Chen C, Cheng K, Xie P. Neurotransmitter and Related Metabolic Profiling in the Nucleus Accumbens of Chronic Unpredictable Mild Stress-Induced Anhedonia-Like Rats. Front Behav Neurosci 2022; 16:862683. [PMID: 35571281 PMCID: PMC9100667 DOI: 10.3389/fnbeh.2022.862683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 04/01/2022] [Indexed: 11/18/2022] Open
Abstract
Major depressive disorder (MDD) is a serious mental disorder that affects many people. The neurotransmitter deficiency hypothesis has been the crux of much research on the treatment of depression. Anhedonia, as a core symptom, was closely associated with altered levels of 5-hydroxytryptamine (5-HT), dopamine (DA), and diverse types of glutamate (Glu) receptors in the nucleus accumbens (NAc). However, there were no reports showing how Glu changed in the NAc, and there were other unreported molecules involved in modulating stress-induced anhedonia. Thus, we investigated changes in neurotransmitters and their related metabolites in GABAergic, serotonergic and catecholaminergic pathways in the NAc of a rat model of chronic unpredictable mild stress- (CUMS-) induced anhedonia-like behavior. Then, liquid chromatography-tandem mass spectrometry (LC-MS/MS) was employed to detect target neurotransmitters and related metabolites in the NAc. Finally, the Western blot was used to assess the expression of key enzymes and receptors. Here, we found that the 5-HT level in anhedonia-susceptible (Sus) rats was increased while the Glu level decreased. DA did not show a significant change among CUMS rats. Correspondingly, we detected a reduction in monoamine oxidase-A (MAOA) and Glu receptor 1 levels in anhedonia-Sus rats while Glu receptor 2 (GluR2) and NMDA2B levels were increased in anhedonia-resilient (Res) rats. We also found that the levels of glutamine (Gln), kynurenic acid (Kya), histamine (HA), L-phenylalanine (L-Phe), and tyramine (Tyra) were changed after CUMS. These alterations in neurotransmitters may serve as a new insight into understanding the development of anhedonia-like behavior in depression.
Collapse
Affiliation(s)
- Yan Li
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
| | - Zhi Chen
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
| | - Jianting Zhao
- Department of Neurology, Xinxiang Central Hospital, The Fourth Clinical College of Xinxiang Medical College, Xinxiang, China
| | - Heming Yu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
| | - Xiangyu Chen
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
| | - Yong He
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
| | - Yu Tian
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
| | - Yue Wang
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
| | - Chong Chen
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
| | - Ke Cheng
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
- *Correspondence: Ke Cheng,
| | - Peng Xie
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University, Chongqing, China
- Peng Xie,
| |
Collapse
|
41
|
Lee MT, Peng WH, Kan HW, Wu CC, Wang DW, Ho YC. Neurobiology of Depression: Chronic Stress Alters the Glutamatergic System in the Brain-Focusing on AMPA Receptor. Biomedicines 2022; 10:biomedicines10051005. [PMID: 35625742 PMCID: PMC9138646 DOI: 10.3390/biomedicines10051005] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 04/19/2022] [Accepted: 04/25/2022] [Indexed: 12/25/2022] Open
Abstract
Major depressive disorder (MDD) is a common neuropsychiatric disorder affecting the mood and mental well-being. Its pathophysiology remains elusive due to the complexity and heterogeneity of this disorder that affects millions of individuals worldwide. Chronic stress is frequently cited as the one of the risk factors for MDD. To date, the conventional monoaminergic theory (serotonin, norepinephrine, and/or dopamine dysregulation) has received the most attention in the treatment of MDD, and all available classes of antidepressants target these monoaminergic systems. However, the contributions of other neurotransmitter systems in MDD have been widely reported. Emerging preclinical and clinical findings reveal that maladaptive glutamatergic neurotransmission might underlie the pathophysiology of MDD, thus revealing its critical role in the neurobiology of MDD and as the therapeutic target. Aiming beyond the monoaminergic hypothesis, studies of the neurobiological mechanisms underlying the stress-induced impairment of AMPA (a-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid)-glutamatergic neurotransmission in the brain could provide novel insights for the development of a new generation of antidepressants without the detrimental side effects. Here, the authors reviewed the recent literature focusing on the role of AMPA-glutamatergic neurotransmission in stress-induced maladaptive responses in emotional and mood-associated brain regions, including the hippocampus, amygdala, prefrontal cortex, nucleus accumbens and periaqueductal gray.
Collapse
Affiliation(s)
- Ming Tatt Lee
- Faculty of Pharmaceutical Sciences, UCSI University, Cheras, Kuala Lumpur 56000, Malaysia;
| | - Wei-Hao Peng
- School of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung City 82445, Taiwan; (W.-H.P.); (H.-W.K.)
| | - Hung-Wei Kan
- School of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung City 82445, Taiwan; (W.-H.P.); (H.-W.K.)
| | - Cheng-Chun Wu
- School of Medicine, College of Medicine, I-Shou University, Kaohsiung City 82445, Taiwan; (C.-C.W.); (D.-W.W.)
| | - Deng-Wu Wang
- School of Medicine, College of Medicine, I-Shou University, Kaohsiung City 82445, Taiwan; (C.-C.W.); (D.-W.W.)
- Department of Psychiatry, E-Da Hospital, Kaohsiung City 82445, Taiwan
| | - Yu-Cheng Ho
- School of Medicine, College of Medicine, I-Shou University, Kaohsiung City 82445, Taiwan; (C.-C.W.); (D.-W.W.)
- Correspondence:
| |
Collapse
|
42
|
Wang H, Xu J, Yu M, Ma X, Li Y, Pan C, Ren J, Liu W. Altered functional connectivity of ventral striatum subregions in de-novo parkinson’s disease with depression. Neuroscience 2022; 491:13-22. [DOI: 10.1016/j.neuroscience.2022.03.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 03/23/2022] [Accepted: 03/24/2022] [Indexed: 10/18/2022]
|
43
|
Liang S, Wu Y, Hanxiaoran L, Greenshaw AJ, Li T. Anhedonia in Depression and Schizophrenia: Brain Reward and Aversion Circuits. Neuropsychiatr Dis Treat 2022; 18:1385-1396. [PMID: 35836582 PMCID: PMC9273831 DOI: 10.2147/ndt.s367839] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 06/28/2022] [Indexed: 11/23/2022] Open
Abstract
Anhedonia, which is defined as markedly diminished interest or pleasure, is a prominent symptom of psychiatric disorders, most notably major depressive disorder (MDD) and schizophrenia. Anhedonia is considered a transdiagnostic symptom that is associated with deficits in neural reward and aversion functions. Here, we review the characteristics of anhedonia in depression and schizophrenia as well as shared or disorder-specific anhedonia-related alterations in reward and aversion pathways of the brain. In particular, we highlight that anhedonia is characterized by impairments in anticipatory pleasure and integration of reward-related information in MDD, whereas anhedonia in schizophrenia is associated with neurocognitive deficits in representing the value of rewards. Dysregulation of the frontostriatal circuit and mesocortical and mesolimbic circuit systems may be the transdiagnostic neurobiological basis of reward and aversion impairments underlying anhedonia in these two disorders. Blunted aversion processing in depression and relatively strong aversion in schizophrenia are primarily attributed to the dysfunction of the habenula, insula, amygdala, and anterior cingulate cortex. Furthermore, patients with schizophrenia appear to exhibit greater abnormal activation and extended functional coupling than those with depression. From a transdiagnostic perspective, understanding the neural mechanisms underlying anhedonia in patients with psychiatric disorders may help in the development of more targeted and efficacious treatment and intervention strategies.
Collapse
Affiliation(s)
- Sugai Liang
- Affiliated Mental Health Centre & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, People's Republic of China
| | - Yue Wu
- Affiliated Mental Health Centre & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, People's Republic of China
| | - Li Hanxiaoran
- Affiliated Mental Health Centre & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, People's Republic of China
| | - Andrew J Greenshaw
- Department of Psychiatry, University of Alberta, Edmonton, AB, T6G 2B7, Canada
| | - Tao Li
- Affiliated Mental Health Centre & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, People's Republic of China
| |
Collapse
|
44
|
Zhou B, Chen Y, Zheng R, Jiang Y, Li S, Wei Y, Zhang M, Gao X, Wen B, Han S, Cheng J. Alterations of Static and Dynamic Functional Connectivity of the Nucleus Accumbens in Patients With Major Depressive Disorder. Front Psychiatry 2022; 13:877417. [PMID: 35615457 PMCID: PMC9124865 DOI: 10.3389/fpsyt.2022.877417] [Citation(s) in RCA: 4] [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: 02/16/2022] [Accepted: 03/30/2022] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is associated with dysfunction of the reward system. As an important node in the reward system, the resting-state functional connectivity of the nucleus accumbens (NAc) is related to the etiology of MDD. However, an increasing number of recent studies propose that brain activity is dynamic over time, no study to date has examined whether the NAc dynamic functional connectivity (DFC) is changed in patients with MDD. Moreover, few studies have examined the impact of the clinical characteristics of patients with MDD. METHODS A total of 220 MDD patients and 159 healthy controls (HCs), group-matched for age, sex, and education level, underwent resting-state functional magnetic resonance imagining (rs-fMRI) scans. Seed-based resting-state functional connectivity (RSFC) and DFC of the NAc were conducted. Two sample t-tests were performed to alter RSFC/DFC of NAc. In addition, we examined the association between altered RSFC/DFC and depressive severity using Pearson correlation. Finally, we divided patients with MDD into different subgroups according to clinical characteristics and tested whether there were differences between the subgroups. RESULTS Compared with the HCs, MDD patients show reduced the NAc-based RSFC with the dorsolateral prefrontal cortex (DLPFC), hippocampus, middle temporal gyrus (MTG), inferior temporal gyrus (ITG), precuneus, and insula, and patients with MDD show reduced the NAc-based DFC with the DLPFC, ventromedial prefrontal cortex (VMPFC), ventrolateral prefrontal cortex (VLPFC), MTG, ITG, and insula. MDD severity was associated with RSFC between the NAc and precentral gyrus (r = 0.288, p = 0.002, uncorrected) and insula (r = 0.272, p = 0.003, uncorrected). CONCLUSION This study demonstrates abnormal RSFC and DFC between the NAc and distributed cerebral regions in MDD patients, characterized by decreased RSFC and DFC of the NAc connecting with the reward, executive, default-mode, and salience network. Our results expand previous descriptions of the NAc RSFC abnormalities in MDD, and the altered RSFC/DFC may reflect the disrupted function of the NAc.
Collapse
Affiliation(s)
- Bingqian Zhou
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yuan Chen
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ruiping Zheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yu Jiang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shuying Li
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - MengZhe Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - XinYu Gao
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Baohong Wen
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| |
Collapse
|
45
|
Abnormal functional connectivity of the anterior cingulate cortex subregions mediates the association between anhedonia and sleep quality in major depressive disorder. J Affect Disord 2022; 296:400-407. [PMID: 34606812 DOI: 10.1016/j.jad.2021.09.104] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 09/05/2021] [Accepted: 09/26/2021] [Indexed: 11/20/2022]
Abstract
BACKGROUND The anterior cingulate cortex (ACC) is a crucial region in the pathophysiology of major depressive disorder (MDD). However, the relationship between functional alterations of the ACC subregions, anhedonia and sleep quality remains unclear in MDD patients. METHODS The resting-state functional connectivity (rsFC) of ACC subregions was measured in 41 first-episode medication-naïve MDD patients and 63 healthy controls who underwent functional magnetic resonance imaging. Between-group differences were examined using two-sample t-test. Furthermore, correlation and mediation analyses were carried out to investigate the relationships between the aberrant rsFC of ACC subregions, anhedonia and sleep quality in the patients and controls. RESULTS Compared to healthy controls, the MDD patients exhibited increased rsFC of ACC subregions to areas of the anterior default mode network (DMN) and showed decreased rsFC of the right subgenual ACC to left precuneus (PCUN), which belongs to the posterior DMN. In MDD group, the sleep quality and consummatory anhedonia are correlated with some rsFC, which involves the angular gyrus (ANG) and superior frontal gyrus (SFG). More importantly, the rsFC between the right perigenual ACC and left SPG mediates the association between anhedonia and sleep quality in MDD. LIMITATIONS The cross-sectional design and the subjective questionaries for assessment. CONCLUSION These findings confirm the functional alterations of the ACC subregions and reveal the mediating role of ACC subregions in sleep and reward dysfunction in MDD.
Collapse
|
46
|
Geller WN, Liu K, Warren SL. Specificity of anhedonic alterations in resting-state network connectivity and structure: A transdiagnostic approach. Psychiatry Res Neuroimaging 2021; 317:111349. [PMID: 34399282 DOI: 10.1016/j.pscychresns.2021.111349] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 07/11/2021] [Accepted: 07/28/2021] [Indexed: 10/20/2022]
Abstract
Anhedonia is a prominent characteristic of depression and related pathology that is associated with a prolonged course of mood disturbance and treatment resistance. However, the neurobiological mechanisms of anhedonia are poorly understood as few studies have disentangled the specific effects of anhedonia from other co-occurring symptoms. Here, we take a transdiagnostic, dimensional approach to distinguish anhedonia alterations from other internalizing symptoms on intrinsic functional brain circuits. 53 adults with varying degrees of anxiety and/or depression completed resting-state fMRI. Neural networks were identified through independent components analysis. Dual regression was used to characterize within-network functional connectivity alterations associated with individual differences in anhedonia. Modulation of between-network functional connectivity by anhedonia was tested using region-of-interest to region-of-interest correlational analyses. Anhedonia was associated with visual network hyperconnectivity and expansion of the visual, dorsal attention, and default networks. Additionally, anhedonia was associated with decreased between-network connectivity among default, salience, dorsal attention, somatomotor, and visual networks. Findings suggest that anhedonia is associated with aberrant connectivity and structural alterations in resting-state networks that contribute to impairments in reward learning, low motivation, and negativity bias characteristic of depression. Results reveal dissociable effects of anhedonia on resting-state network dynamics, characterizing possible neurocircuit mechanisms for intervention.
Collapse
Affiliation(s)
- Whitney N Geller
- Department of Psychology, Palo Alto University, 1791 Arastradero Road, Palo Alto, CA 94304, USA
| | - Kevin Liu
- Department of Psychology, Palo Alto University, 1791 Arastradero Road, Palo Alto, CA 94304, USA
| | - Stacie L Warren
- Department of Psychology, Palo Alto University, 1791 Arastradero Road, Palo Alto, CA 94304, USA.
| |
Collapse
|
47
|
Langlois C, Potvin S, Khullar A, Tourjman SV. Down and High: Reflections Regarding Depression and Cannabis. Front Psychiatry 2021; 12:625158. [PMID: 34054594 PMCID: PMC8160288 DOI: 10.3389/fpsyt.2021.625158] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 04/15/2021] [Indexed: 12/20/2022] Open
Abstract
In light of the recent changes in the legal status of cannabis in Canada, the understanding of the potential impact of the use of cannabis by individuals suffering from depression is increasingly considered as being important. It is fundamental that we look into the existing literature to examine the influence of cannabis on psychiatric conditions, including mood disorders. In this article, we will explore the relationship that exists between depression and cannabis. We will examine the impact of cannabis on the onset and course of depression, and its treatment. We have undertaken a wide-ranging review of the literature in order to address these questions. The evidence from longitudinal studies suggest that there is a bidirectional relationship between cannabis use and depression, such that cannabis use increases the risk for depression and vice-versa. This risk is possibly higher in heavy users having initiated their consumption in early adolescence. Clinical evidence also suggests that cannabis use is associated with a worse prognosis in individuals with major depressive disorder. The link with suicide remains controversial. Moreover, there is insufficient data to determine the impact of cannabis use on cognition in individuals with major depression disorder. Preliminary evidence suggesting that the endogenous cannabinoid system is involved in the pathophysiology of depression. This will need to be confirmed in future positron emission tomography studies. Randomized controlled trials are needed to investigate the potential efficacy of motivational interviewing and/or cognitive behavioral therapy for the treatment of cannabis use disorder in individuals with major depressive major disorder. Finally, although there is preclinical evidence suggesting that cannabidiol has antidepressant properties, randomized controlled trials will need to properly investigate this possibility in humans.
Collapse
Affiliation(s)
| | - Stéphane Potvin
- Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
- Research Center of the Institut Universitaire en Santé Mentale de Montréal, Montréal, QC, Canada
| | - Atul Khullar
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
| | - Smadar Valérie Tourjman
- Department of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
- Research Center of the Institut Universitaire en Santé Mentale de Montréal, Montréal, QC, Canada
- Department of Psychiatry, Institut Universitaire en Santé Mentale de Montréal, Montréal, QC, Canada
| |
Collapse
|