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Aydın O, Tvrtkovic S, Çakıroğlu E, Ünal-Aydın P, Esen-Danacı A. The effect of emotion recognition and mindfulness on depression symptoms: A case-control study. Scand J Psychol 2024; 65:433-442. [PMID: 38124382 DOI: 10.1111/sjop.12992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 09/20/2023] [Accepted: 11/29/2023] [Indexed: 12/23/2023]
Abstract
Abnormalities in emotion recognition (ER) are frequently reported in depression, with lower recognition accuracy in patients with major depressive disorder (MDD) when compared to healthy individuals. Mindfulness was found to directly impact the severity of depressive symptoms, by recognizing negative cognitions and dysfunctional reactions. The aims of this study were to compare ER and mindfulness levels between MDD patients and healthy controls (HCs), as well as to examine whether ER and mindfulness are related to symptom severity in MDD patients. Sixty-eight patients with MDD and 93 HCs participated in the study. A sociodemographic form, reading the mind in the eyes test (RMET), five facet mindfulness questionnaire-short form (FFMQ-S) and the Montgomery-Asberg depression scale (MADRS) were administered. Group comparison in ER and mindfulness was performed using the multivariate analysis of covariance (MANCOVA). Bivariate correlations and hierarchical linear regression analyses were performed to assess the associations between depression severity, ER and mindfulness in the patient group. Higher level of mindfulness was found in HCs relative to MDD group, however, no ER difference was present between the groups. A positive association between depression severity and the non-reactivity facet of mindfulness was found. On the other hand, ER was not significantly associated with symptom severity among individuals with MDD. Non-reactivity, unlike other dimensions of mindfulness, seems to increase with the severity of depressive symptoms among MDD patients. A particular focus on this subdimension in mindfulness techniques may yield better outcomes in alleviation of depressive symptoms.
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Affiliation(s)
- Orkun Aydın
- International University of Sarajevo, Faculty of Arts and Social Sciences, Department of Psychology, Sarajevo, Bosnia and Herzegovina
| | - Selma Tvrtkovic
- International University of Sarajevo, Faculty of Arts and Social Sciences, Department of Psychology, Sarajevo, Bosnia and Herzegovina
| | - Elif Çakıroğlu
- Faculty of Medicine, Department of Psychiatry, Celal Bayar University, Manisa, Turkey
| | - Pınar Ünal-Aydın
- International University of Sarajevo, Faculty of Arts and Social Sciences, Department of Psychology, Sarajevo, Bosnia and Herzegovina
| | - Ayşen Esen-Danacı
- Faculty of Medicine, Department of Psychiatry, Celal Bayar University, Manisa, Turkey
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Kittleson AR, Woodward ND, Heckers S, Sheffield JM. The insula: Leveraging cellular and systems-level research to better understand its roles in health and schizophrenia. Neurosci Biobehav Rev 2024; 160:105643. [PMID: 38531518 DOI: 10.1016/j.neubiorev.2024.105643] [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: 01/09/2024] [Revised: 03/04/2024] [Accepted: 03/22/2024] [Indexed: 03/28/2024]
Abstract
Schizophrenia is a highly heterogeneous disorder characterized by a multitude of complex and seemingly non-overlapping symptoms. The insular cortex has gained increasing attention in neuroscience and psychiatry due to its involvement in a diverse range of fundamental human experiences and behaviors. This review article provides an overview of the insula's cellular and anatomical organization, functional and structural connectivity, and functional significance. Focusing on specific insula subregions and using knowledge gained from humans and preclinical studies of insular tracings in non-human primates, we review the literature and discuss the functional roles of each subregion, including in somatosensation, interoception, salience processing, emotional processing, and social cognition. Building from this foundation, we then extend these findings to discuss reported abnormalities of these functions in individuals with schizophrenia, implicating insular involvement in schizophrenia pathology. This review underscores the insula's vast role in the human experience and how abnormal insula structure and function could result in the wide-ranging symptoms observed in schizophrenia.
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Affiliation(s)
- Andrew R Kittleson
- Medical Scientist Training Program, Vanderbilt University School of Medicine, Nashville, TN 37235, United States; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
| | - Neil D Woodward
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
| | - Stephan Heckers
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
| | - Julia M Sheffield
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
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Ortug A, Guo Y, Feldman HA, Ou Y, Warren JLA, Dieuveuil H, Baumer NT, Faja SK, Takahashi E. Autism-associated brain differences can be observed in utero using MRI. Cereb Cortex 2024; 34:bhae117. [PMID: 38602735 PMCID: PMC11008691 DOI: 10.1093/cercor/bhae117] [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: 01/18/2023] [Revised: 03/01/2024] [Accepted: 03/02/2024] [Indexed: 04/12/2024] Open
Abstract
Developmental changes that occur before birth are thought to be associated with the development of autism spectrum disorders. Identifying anatomical predictors of early brain development may contribute to our understanding of the neurobiology of autism spectrum disorders and allow for earlier and more effective identification and treatment of autism spectrum disorders. In this study, we used retrospective clinical brain magnetic resonance imaging data from fetuses who were diagnosed with autism spectrum disorders later in life (prospective autism spectrum disorders) in order to identify the earliest magnetic resonance imaging-based regional volumetric biomarkers. Our results showed that magnetic resonance imaging-based autism spectrum disorder biomarkers can be found as early as in the fetal period and suggested that the increased volume of the insular cortex may be the most promising magnetic resonance imaging-based fetal biomarker for the future emergence of autism spectrum disorders, along with some additional, potentially useful changes in regional volumes and hemispheric asymmetries.
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Affiliation(s)
- Alpen Ortug
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Yurui Guo
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Henry A Feldman
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Yangming Ou
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Jose Luis Alatorre Warren
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
| | - Harrison Dieuveuil
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Nicole T Baumer
- Department of Neurology, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
| | - Susan K Faja
- Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Division of Developmental Medicine, Laboratories of Cognitive Neuroscience, Boston Children's Hospital, Harvard Medical School, Brookline, MA 02115, United States
| | - Emi Takahashi
- Division of Newborn Medicine, Department of Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, United States
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, United States
- Department of Radiology, Harvard Medical School, Boston, MA 02115, United States
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4
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Jiang X, Cao B, Li C, Jia L, Jing Y, Cai W, Zhao W, Sun Q, Wu F, Kong L, Tang Y. Identifying misdiagnosed bipolar disorder using support vector machine: feature selection based on fMRI of follow-up confirmed affective disorders. Transl Psychiatry 2024; 14:9. [PMID: 38191549 PMCID: PMC10774279 DOI: 10.1038/s41398-023-02703-z] [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: 03/06/2023] [Revised: 11/27/2023] [Accepted: 12/05/2023] [Indexed: 01/10/2024] Open
Abstract
Nearly a quarter of bipolar disorder (BD) patients were misdiagnosed as major depressive disorder (MDD) patients, which cannot be corrected until mania/hypomania develops. It is important to recognize these obstacles so that the appropriate treatment can be initiated. Thus, we sought to distinguish patients with BD from MDD, especially to identify misdiagnosed BD before mania/hypomania, and further explore potential trait features that allow accurate differential diagnosis independent of state matters. Functional magnetic resonance imaging scans were performed at baseline on 92 MDD patients and 48 BD patients. The MDD patients were then followed up for more than two years. After follow-up, 23 patients transformed into BD (tBD), and 69 patients whose diagnoses remained unchanged were eligible for unipolar depression (UD). A support vector machine classifier was trained on the amygdala-based functional connectivity (FC) of 48 BD and 50 UD patients using a novel region-based feature selection. Then, the classifier was tested on the dataset, encompassing tBD and the remaining UD. It performed well for known BD and UD and can also distinguish tBD from UD with an accuracy of 81%, sensitivity of 82.6%, specificity of 79%, and AUC of 74.6%, respectively. Feature selection results revealed that ten regions within the cortico-limbic neural circuit contributed most to classification. Furthermore, in the FC comparisons among diseases, BD and tBD shared almost overlapped FC patterns in the cortico-limbic neural circuit, and both of them presented pronounced differences in most regions within the circuit compared with UD. The FC values of the most discriminating brain regions had no prominent correlations with the severity of depression, anxiety, and mania/hypomania (FDR correction). It suggests that BD possesses some trait features in the cortico-limbic neural circuit, rendering it dichotomized by the classifier based on known-diagnosis data.
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Affiliation(s)
- Xiaowei Jiang
- Brain Function Research Section, Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Bo Cao
- Department of Psychiatry, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, T6G 2B7, Canada
| | - Chao Li
- Brain Function Research Section, Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Linna Jia
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Yi Jing
- Neusoft Research of Intelligent Healthcare Technology, Co. Ltd, Shenyang, Liaoning, 110167, PR China
| | - Wei Cai
- Neusoft Research of Intelligent Healthcare Technology, Co. Ltd, Shenyang, Liaoning, 110167, PR China
| | - Wenhui Zhao
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Qikun Sun
- Department of Radiation Oncology, The First Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Feng Wu
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Lingtao Kong
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Yanqing Tang
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China.
- Department of Geriatric Medicine, The First Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China.
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Petruso F, Giff A, Milano B, De Rossi M, Saccaro L. Inflammation and emotion regulation: a narrative review of evidence and mechanisms in emotion dysregulation disorders. Neuronal Signal 2023; 7:NS20220077. [PMID: 38026703 PMCID: PMC10653990 DOI: 10.1042/ns20220077] [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: 03/21/2023] [Revised: 10/25/2023] [Accepted: 10/27/2023] [Indexed: 12/01/2023] Open
Abstract
Emotion dysregulation (ED) describes a difficulty with the modulation of which emotions are felt, as well as when and how these emotions are experienced or expressed. It is a focal overarching symptom in many severe and prevalent neuropsychiatric diseases, including bipolar disorders (BD), attention deficit/hyperactivity disorder (ADHD), and borderline personality disorder (BPD). In all these disorders, ED can manifest through symptoms of depression, anxiety, or affective lability. Considering the many symptomatic similarities between BD, ADHD, and BPD, a transdiagnostic approach is a promising lens of investigation. Mounting evidence supports the role of peripheral inflammatory markers and stress in the multifactorial aetiology and physiopathology of BD, ADHD, and BPD. Of note, neural circuits that regulate emotions appear particularly vulnerable to inflammatory insults and peripheral inflammation, which can impact the neuroimmune milieu of the central nervous system. Thus far, few studies have examined the link between ED and inflammation in BD, ADHD, and BPD. To our knowledge, no specific work has provided a critical comparison of the results from these disorders. To fill this gap in the literature, we review the known associations and mechanisms linking ED and inflammation in general, and clinically, in BD, ADHD, and BD. Our narrative review begins with an examination of the routes linking ED and inflammation, followed by a discussion of disorder-specific results accounting for methodological limitations and relevant confounding factors. Finally, we critically discuss both correspondences and discrepancies in the results and comment on potential vulnerability markers and promising therapeutic interventions.
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Affiliation(s)
| | - Alexis E. Giff
- Department of Neuroscience, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Switzerland
| | - Beatrice A. Milano
- Sant’Anna School of Advanced Studies, Pisa, Italy
- University of Pisa, Pisa, Italy
| | | | - Luigi Francesco Saccaro
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Switzerland
- Department of Psychiatry, Geneva University Hospital, Switzerland
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Sunaga M, Takei Y, Kato Y, Tagawa M, Suto T, Hironaga N, Sakurai N, Fukuda M. The Characteristics of Power Spectral Density in Bipolar Disorder at the Resting State. Clin EEG Neurosci 2023; 54:574-583. [PMID: 34677105 DOI: 10.1177/15500594211050487] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Bipolar disorder (BD) is a common psychiatric disorder, but its pathophysiology is not fully elucidated. The current study focused on its electrophysiological characteristics, especially power spectral density (PSD). Resting state with eyes opened magnetoencephalography data were collected from 21 patients with BD and 22 healthy controls. The whole brain's PSD was calculated from source reconstructed waveforms at each frequency band (delta: 1-3 Hz, theta: 4-7 Hz, alpha: 8-12 Hz, low beta: 13-19 Hz, high beta: 20-29 Hz, and gamma: 30-80 Hz). We compared PSD values on the marked vertices at each frequency band between healthy and patient groups using a Mann-Whitney rank test to examine the relationship between significantly different PSD and clinical measures. The PSD in patients with BD was significantly decreased in lower frequency bands, mainly in the default mode network (DMN) areas (bilateral medial prefrontal cortex, bilateral precuneus, left inferior parietal lobe, and right temporal cortex in the alpha band) and salience network areas (SAL; left anterior insula [AI] at the delta band, anterior cingulate cortex at the theta band, and right AI at the alpha band). No significant differences in PSD were observed at low beta and high beta. PSD was not correlated with age or other clinical scales. Altered PSDs of the DMN and SAL were observed in the delta, theta, and alpha bands. These alterations contribute to the vulnerability of BD through the disturbance of self-referential mental activity and switching between the default mode and frontoparietal networks.
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Affiliation(s)
- Masakazu Sunaga
- Gunma Prefectural Psychiatric Medical Center, Isesaki, Japan
| | - Yuichi Takei
- Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Yutaka Kato
- Gunma University Graduate School of Medicine, Maebashi, Japan
- Tsutsuji Mental Hospital, Tatebayashi, Japan
| | - Minami Tagawa
- Gunma Prefectural Psychiatric Medical Center, Isesaki, Japan
- Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Tomohiro Suto
- Gunma Prefectural Psychiatric Medical Center, Isesaki, Japan
| | | | - Noriko Sakurai
- Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Masato Fukuda
- Gunma University Graduate School of Medicine, Maebashi, Japan
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Liu W, Jiang X, Xin Y, Deng Z, Xie Y, Zhou Y, Wu Y, Sun Q, Kong L, Wu F, Tang Y. Sex effects on differentiating patients with major depressive disorder from bipolar disorder in depressive state: A fMRI study with follow-up. J Affect Disord 2023; 340:396-404. [PMID: 37572701 DOI: 10.1016/j.jad.2023.08.041] [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: 01/07/2023] [Revised: 08/04/2023] [Accepted: 08/07/2023] [Indexed: 08/14/2023]
Abstract
BACKGROUND Bipolar disorder (BD) is difficult to discriminate from major depressive disorder (MDD) before the appearance of mania or hypomania. This study was designed to identify whether patients with MDD and those who converted to BD are distinguishable using dynamic amplitude low-frequency fluctuations (dALFF) and describe the sex effects on the identification of the two disorders. METHODS We compared the dALFF values of 35 BD patients who converted from MDD during the 2-year follow-up, 99 MDD patients, and 130 healthy controls (HCs) using two-way ANOVA. Pearson's correlation was used to compare dALFF in dysfunctional brain regions and clinical characteristics. RESULTS A main effect of diagnosis was discovered in the frontal and occipital gyrus. For the main effect of sex, both the left middle occipital gyrus and the medial part of the superior frontal gyrus had higher dALFF values in males compared to females. An interaction of sex and diagnosis effect was observed in the right precentral gyrus. Male MDD patients exhibited a higher dALFF value than male BD patients. Additionally, we discovered a higher dALFF value in females than in males in BD patients. WCST scores were positively associated with dALFF values in the frontal and occipital gyrus in MDD patients. Meanwhile, dALFF values in the occipital gyrus positively correlated with WCST in female MDD patients only. LIMITATION Most of the participants were on medication and the sample size was small. CONCLUSIONS Our study is the first to find the non-neglectable role of sex effects in differentiating BD and MDD at an early stage.
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Affiliation(s)
- Wen Liu
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang 110001, Liaoning, PR China; Department of Psychiatry, The First Hospital of China Medical University Shenyang 110001, Liaoning, PR China
| | - Xiaowei Jiang
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang 110001, Liaoning, PR China; Department of Radiology, The First Hospital of China Medical University, Shenyang 110001, Liaoning, PR China
| | - Yide Xin
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang 110001, Liaoning, PR China
| | - Zijing Deng
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang 110001, Liaoning, PR China; Department of Psychiatry, The First Hospital of China Medical University Shenyang 110001, Liaoning, PR China
| | - Yu Xie
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang 110001, Liaoning, PR China
| | - Yifang Zhou
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang 110001, Liaoning, PR China; Department of Psychiatry, The First Hospital of China Medical University Shenyang 110001, Liaoning, PR China
| | - Yifan Wu
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang 110001, Liaoning, PR China; Department of Psychiatry, The First Hospital of China Medical University Shenyang 110001, Liaoning, PR China
| | - Qikun Sun
- Department of Radiation Oncology, The First Hospital of China Medical University, Shenyang 110001, Liaoning, PR China
| | - Lingtao Kong
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang 110001, Liaoning, PR China; Department of Psychiatry, The First Hospital of China Medical University Shenyang 110001, Liaoning, PR China
| | - Feng Wu
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang 110001, Liaoning, PR China; Department of Psychiatry, The First Hospital of China Medical University Shenyang 110001, Liaoning, PR China
| | - Yanqing Tang
- Department of Psychiatry, The First Hospital of China Medical University Shenyang 110001, Liaoning, PR China; Department of Gerontology, The First Hospital of China Medical University, Shenyang 110001, Liaoning, PR China.
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Reed MB, Handschuh PA, Klöbl M, Konadu ME, Kaufmann U, Hahn A, Kranz GS, Spies M, Lanzenberger R. The influence of sex steroid treatment on insular connectivity in gender dysphoria. Psychoneuroendocrinology 2023; 155:106336. [PMID: 37499299 DOI: 10.1016/j.psyneuen.2023.106336] [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: 12/14/2022] [Revised: 07/16/2023] [Accepted: 07/17/2023] [Indexed: 07/29/2023]
Abstract
BACKGROUND Sex-specific differences in brain connectivity were found in various neuroimaging studies, though little is known about sex steroid effects on insular functioning. Based on well-characterized sex differences in emotion regulation, interoception and higher-level cognition, gender-dysphoric individuals receiving gender-affirming hormone therapy represent an interesting cohort to investigate how sex hormones might influence insular connectivity and related brain functions. METHODS To analyze the potential effect of sex steroids on insular connectivity at rest, 11 transgender women, 14 transgender men, 20 cisgender women, and 11 cisgender men were recruited. All participants underwent two magnetic resonance imaging sessions involving resting-state acquisitions separated by a median time period of 4.5 months and also completed the Bermond-Vorst alexithymia questionnaire at the initial and final examination. Between scans, transgender subjects received gender-affirming hormone therapy. RESULTS A seed based functional connectivity analysis revealed a significant 2-way interaction effect of group-by-time between right insula, cingulum, left middle frontal gyrus and left angular gyrus. Post-hoc tests demonstrated an increase in connectivity for transgender women when compared to cisgender men. Furthermore, spectral dynamic causal modelling showed reduced effective connectivity from the posterior cingulum and left angular gyrus to the left middle frontal gyrus as well as from the right insula to the left middle frontal gyrus. Alexithymia changes were found after gender-affirming hormone therapy for transgender women in both fantasizing and identifying. CONCLUSION These findings suggest a considerable influence of estrogen administration and androgen suppression on brain networks implicated in interoception, own-body perception and higher-level cognition.
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Affiliation(s)
- Murray B Reed
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Patricia A Handschuh
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Manfred Klöbl
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Melisande E Konadu
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Ulrike Kaufmann
- Department of Obstetrics and Gynecology, Medical University of Vienna, Austria
| | - Andreas Hahn
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Georg S Kranz
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria; Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hong Kong, China
| | - Marie Spies
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria.
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9
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Piccolo M, Belleau EL, Holsen LM, Trivedi MH, Parsey RV, McGrath PJ, Weissman MM, Pizzagalli DA, Javaras KN. Alterations in resting-state functional activity and connectivity for major depressive disorder appetite and weight disturbance phenotypes. Psychol Med 2023; 53:4517-4527. [PMID: 35670301 PMCID: PMC9949733 DOI: 10.1017/s0033291722001398] [Citation(s) in RCA: 4] [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] [Indexed: 02/02/2023]
Abstract
BACKGROUND Major depressive disorder (MDD) is often accompanied by changes in appetite and weight. Prior task-based functional magnetic resonance imaging (fMRI) findings suggest these MDD phenotypes are associated with altered reward and interoceptive processing. METHODS Using resting-state fMRI data, we compared the fractional amplitude of low-frequency fluctuations (fALFF) and seed-based connectivity (SBC) among hyperphagic (n = 77), hypophagic (n = 66), and euphagic (n = 42) MDD groups and a healthy comparison group (n = 38). We examined fALFF and SBC in a mask restricted to reward [nucleus accumbens (NAcc), putamen, caudate, ventral pallidum, and orbitofrontal cortex (OFC)] and interoceptive (anterior insula and hypothalamus) regions and also performed exploratory whole-brain analyses. SBC analyses included as seeds the NAcc and also regions demonstrating group differences in fALFF (i.e. right lateral OFC and right anterior insula). All analyses used threshold-free cluster enhancement. RESULTS Mask-restricted analyses revealed stronger fALFF in the right lateral OFC, and weaker fALFF in the right anterior insula, for hyperphagic MDD v. healthy comparison. We also found weaker SBC between the right lateral OFC and left anterior insula for hyperphagic MDD v. healthy comparison. Whole-brain analyses revealed weaker fALFF in the right anterior insula, and stronger SBC between the right lateral OFC and left precentral gyrus, for hyperphagic MDD v. healthy comparison. Findings were no longer significant after controlling for body mass index, which was higher for hyperphagic MDD. CONCLUSIONS Our results suggest hyperphagic MDD may be associated with altered activity in and connectivity between interoceptive and reward regions.
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Affiliation(s)
- Mayron Piccolo
- McLean Hospital, Belmont MA 02478, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
| | - Emily L. Belleau
- McLean Hospital, Belmont MA 02478, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
| | - Laura M. Holsen
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
- Division of Women’s Health, Department of Medicine, Brigham and Women’s Hospital, Boston MA 02115, USA
- Department of Psychiatry, Brigham and Women’s Hospital, Boston MA 02115, USA
| | - Madhukar H. Trivedi
- Division of Mood Disorders, University of Texas, Southwestern Medical Center, Dallas TX 75390 USA
| | - Ramin V. Parsey
- Neuroscience Institute, Renaissance School of Medicine, Stony Brook University, Stony Brook NY 11733 USA
| | - Patrick J. McGrath
- New York State Psychiatric Institute & Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York NY 10032 USA
| | - Myrna M. Weissman
- New York State Psychiatric Institute & Department of Psychiatry, College of Physicians and Surgeons of Columbia University, New York NY 10032 USA
| | - Diego A. Pizzagalli
- McLean Hospital, Belmont MA 02478, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
| | - Kristin N. Javaras
- McLean Hospital, Belmont MA 02478, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
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10
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Shunkai L, Chen P, Zhong S, Chen G, Zhang Y, Zhao H, He J, Su T, Yan S, Luo Y, Ran H, Jia Y, Wang Y. Alterations of insular dynamic functional connectivity and psychological characteristics in unmedicated bipolar depression patients with a recent suicide attempt. Psychol Med 2023; 53:3837-3848. [PMID: 35257645 DOI: 10.1017/s0033291722000484] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Mounting evidence showed that insula contributed to the neurobiological mechanism of suicidal behaviors in bipolar disorder (BD). However, no studies have analyzed the dynamic functional connectivity (dFC) of insular Mubregions and its association with personality traits in BD with suicidal behaviors. Therefore, we investigated the alterations of dFC variability in insular subregions and personality characteristics in BD patients with a recent suicide attempt (SA). METHODS Thirty unmedicated BD patients with SA, 38 patients without SA (NSA) and 35 demographically matched healthy controls (HCs) were included. The sliding-window analysis was used to evaluate whole-brain dFC for each insular subregion seed. We assessed between-group differences of psychological characteristics on the Minnesota Multiphasic Personality Inventory-2. Finally, a multivariate regression model was adopted to predict the severity of suicidality. RESULTS Compared to NSA and HCs, the SA group exhibited decreased dFC variability values between the left dorsal anterior insula and the left anterior cerebellum. These dFC variability values could also be utilized to predict the severity of suicidality (r = 0.456, p = 0.031), while static functional connectivity values were not appropriate for this prediction. Besides, the SA group scored significantly higher on the schizophrenia clinical scales (p < 0.001) compared with the NSA group. CONCLUSIONS Our findings indicated that the dysfunction of insula-cerebellum connectivity may underlie the neural basis of SA in BD patients, and highlighted the dFC variability values could be considered a neuromarker for predictive models of the severity of suicidality. Moreover, the psychiatric features may increase the vulnerability of suicidal behavior.
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Affiliation(s)
- Lai Shunkai
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Pan Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China
| | - Yiliang Zhang
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Hui Zhao
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Jiali He
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Ting Su
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China
| | - Shuya Yan
- School of Management, Jinan University, Guangzhou, China
| | - Yange Luo
- School of Management, Jinan University, Guangzhou, China
| | - Hanglin Ran
- School of Management, Jinan University, Guangzhou, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China
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11
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Hu Z, Zhou C, He L. Abnormal dynamic functional network connectivity in patients with early-onset bipolar disorder. Front Psychiatry 2023; 14:1169488. [PMID: 37448493 PMCID: PMC10338119 DOI: 10.3389/fpsyt.2023.1169488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 06/12/2023] [Indexed: 07/15/2023] Open
Abstract
Objective To explore the changes in dynamic functional brain network connectivity (dFNC) in patients with early-onset bipolar disorder (BD). Methods Resting-state functional magnetic resonance imaging (rs-fMRI) data were collected from 39 patients with early-onset BD and 22 healthy controls (HCs). Four repeated and stable dFNC states were characterised by independent component analysis (ICA), sliding time windows and k-means clustering, and three dFNC temporal metrics (fraction of time, mean dwell time and number of transitions) were obtained. The dFNC temporal metrics and the differences in dFNC between the two groups in different states were evaluated, and the correlations between the differential dFNC metrics and neuropsychological scores were analysed. Results The dFNC analysis showed four connected patterns in all subjects. Compared with the HCs, the dFNC patterns of early-onset BD were significantly altered in all four states, mainly involving impaired cognitive and perceptual networks. In addition, early-onset BD patients had a decreased fraction of time and mean dwell time in state 2 and an increased mean dwell time in state 3 (p < 0.05). The mean dwell time in state 3 of BD showed a positive correlation trend with the HAMA score (r = 0.4049, p = 0.0237 × 3 > 0.05 after Bonferroni correction). Conclusion Patients with early-onset BD had abnormal dynamic properties of brain functional network connectivity, suggesting that their dFNC was unstable, mainly manifesting as impaired coordination between cognitive and perceptual networks. This study provided a new imaging basis for the neuropathological study of emotional and cognitive deficits in early-onset BD.
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Affiliation(s)
- Ziyi Hu
- Department of Radiology, First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Chun Zhou
- Department of Radiology, First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Laichang He
- Department of Radiology, First Affiliated Hospital of Nanchang University, Nanchang, China
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12
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Chen H, Wang L, Li H, Song H, Zhang X, Wang D. Altered intrinsic brain activity and cognitive impairment in euthymic, unmedicated individuals with bipolar disorder. Asian J Psychiatr 2023; 80:103386. [PMID: 36495730 DOI: 10.1016/j.ajp.2022.103386] [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: 03/23/2022] [Revised: 09/07/2022] [Accepted: 10/08/2022] [Indexed: 12/12/2022]
Abstract
Cognitive impairment in euthymic bipolar disorder (BD) contributes to poor functional outcomes. Resting-state magnetic resonance imaging (MRI)may help us understand the neurobiology of cognitive impairment in BD. Here, forty unmedicated euthymic BD patients and thirty-nine healthy controls were recruited, undergoing MRI scans and neuropsychological measures. The amplitude of low-frequency fluctuation (ALFF) and ALFF-based functional connectivity (FC) analysis was employed to explore the potential alterations of neural activity. Voxel-wised correlation was calculated between clinical and cognitive variables and abnormal brain activity. Compared with healthy controls, euthymic BD patients showed worse cognitive performance in Trail Making Test, Digit Span Test, and Stroop Color-Word Test (SCWT). The euthymic BD group had significantly lower ALFF in the left medial frontal gyrus, right middle frontal gyrus, right postcentral gyrus, and left superior frontal gyrus. Furthermore, we found decreased ALFF values in the right middle frontal gyrus that was negatively correlated with cognitive inhibition, (r = -0.43, P = 0.015). ALFF-based FC analysis showed that BD group showed significantly decreased FC between the right middle frontal gyrus (seed) and left middle temporal gyrus and left medial frontal gyrus, (Two-tailed, PFWE < 0.05, TFCE corrected). The findings demonstrated that individuals with BD during the euthymic phase exhibited decreased ALFF and hypoconnectivity of key brain areas within the frontoparietal network. These altered spontaneous brain activity in euthymic BD patients may be involved in the pathophysiology mechanism of cognitive deficits.
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Affiliation(s)
- Hao Chen
- Department of Radiology, Suzhou Municipal Hospital, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Longxi Wang
- Department of laboratory, Rongfu Military Hospital of Jining city, Jining, China
| | - Hong Li
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Huihui Song
- Department of Geriatric Psychiatry, Suzhou Mental Health Center, Suzhou Guangji Hospital, the Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Xiaobin Zhang
- Department of Geriatric Psychiatry, Suzhou Mental Health Center, Suzhou Guangji Hospital, the Affiliated Guangji Hospital of Soochow University, Suzhou, China.
| | - Dong Wang
- Department of Geriatric Psychiatry, Suzhou Mental Health Center, Suzhou Guangji Hospital, the Affiliated Guangji Hospital of Soochow University, Suzhou, China.
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13
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Zhang C, Jing H, Yan H, Li X, Liang J, Zhang Q, Liang W, Ou Y, Peng C, Yu Y, Wu W, Xie G, Guo W. Disrupted interhemispheric coordination of sensory-motor networks and insula in major depressive disorder. Front Neurosci 2023; 17:1135337. [PMID: 36960171 PMCID: PMC10028102 DOI: 10.3389/fnins.2023.1135337] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 02/22/2023] [Indexed: 03/09/2023] Open
Abstract
Objective Prior researches have identified distinct differences in neuroimaging characteristics between healthy controls (HCs) and patients with major depressive disorder (MDD). However, the correlations between homotopic connectivity and clinical characteristics in patients with MDD have yet to be fully understood. The present study aimed to investigate common and unique patterns of homotopic connectivity and their relationships with clinical characteristics in patients with MDD. Methods We recruited 42 patients diagnosed with MDD and 42 HCs. We collected a range of clinical variables, as well as exploratory eye movement (EEM), event-related potentials (ERPs) and resting-state functional magnetic resonance imaging (rs-fMRI) data. The data were analyzed using correlation analysis, support vector machine (SVM), and voxel-mirrored homotopic connectivity (VMHC). Results Compared with HCs, patients with MDD showed decreased VMHC in the insula, and increased VMHC in the cerebellum 8/vermis 8/vermis 9 and superior/middle occipital gyrus. SVM analysis using VMHC values in the cerebellum 8/vermis 8/vermis 9 and insula, or VMHC values in the superior/middle occipital gyrus and insula as inputs can distinguish HCs and patients with MDD with high accuracy, sensitivity, and specificity. Conclusion The study demonstrated that decreased VMHC in the insula and increased VMHC values in the sensory-motor networks may be a distinctive neurobiological feature for patients with MDD, which could potentially serve as imaging markers to discriminate HCs and patients with MDD.
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Affiliation(s)
- Chunguo Zhang
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
| | - Huan Jing
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
| | - Haohao Yan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Xiaoling Li
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
| | - Jiaquan Liang
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
| | - Qinqin Zhang
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
| | - Wenting Liang
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
| | - Yangpan Ou
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Can Peng
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
| | - Yang Yu
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
| | - Weibin Wu
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
| | - Guojun Xie
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
- *Correspondence: Guojun Xie,
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Wenbin Guo,
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14
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Abnormal dynamic functional network connectivity in first-episode, drug-naïve patients with major depressive disorder. J Affect Disord 2022; 319:336-343. [PMID: 36084757 DOI: 10.1016/j.jad.2022.08.072] [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: 04/18/2022] [Revised: 06/25/2022] [Accepted: 08/22/2022] [Indexed: 11/20/2022]
Abstract
Dynamic functional network connectivity (dFNC) could capture temporal features of spontaneous brain activity during MRI scanning, and it might be a powerful tool to examine functional brain network alters in major depressive disorder (MDD). Therefore, this study investigated the changes in temporal properties of dFNC of first-episode, drug-naïve patients with MDD. A total of 48 first-episode, drug-naïve MDD patients and 46 age- and gender-matched healthy controls were recruited in this study. Sliding windows were implied to construct dFNC. We assessed the relationships between altered dFNC temporal properties and depressive symptoms. Receiver operating characteristic (ROC) curve analyses were used to examine the diagnostic performance of these altered temporal properties. The results showed that patients with MDD have more occurrences and spent more time in a weak connection state, but with fewer occurrences and shorter dwell time in a strong connection state. Importantly, the fractional time and mean dwell time of state 2 was negatively correlated with Hamilton Depression Rating Scale (HDRS) scores. ROC curve analysis demonstrated that these temporal properties have great identified power including the fractional time and mean dwell time in state 2, and the AUC is 0.872, 0.837, respectively. The AUC of the combination of fractional time and mean dwell time in state 2 with age, gender is 0.881. Our results indicated the temporal properties of dFNC are altered in first-episode, drug-naïve patients with MDD, and these changes' properties could serve as a potential biomarker in MDD.
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15
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Schnellbächer GJ, Rajkumar R, Veselinović T, Ramkiran S, Hagen J, Shah NJ, Neuner I. Structural alterations of the insula in depression patients - A 7-Tesla-MRI study. Neuroimage Clin 2022; 36:103249. [PMID: 36451355 PMCID: PMC9668670 DOI: 10.1016/j.nicl.2022.103249] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 09/26/2022] [Accepted: 10/23/2022] [Indexed: 11/11/2022]
Abstract
INTRODUCTION The insular cortex is part of a network of highly connected cerebral "rich club" - regions and has been implicated in the pathophysiology of various psychiatric and neurological disorders, of which major depressive disease is one of the most prevalent. "Rich club" vulnerability can be a contributing factor in disease development. High-resolution structural subfield analysis of insular volume in combination with cortical thickness measurements and psychological testing might elucidate the way in which the insula is changed in depression. MATERIAL AND METHODS High-resolution structural images of the brain were acquired using a 7T-MRI scanner. The mean grey matter volume and cortical thickness within the insular subfields were analysed using voxel-based morphometry (VBM) and surface analysis techniques respectively. Insular subfields were defined according to the Brainnetome Atlas for VBM - and the Destrieux-Atlas for cortical thickness - analysis. Thirty-three patients with confirmed major depressive disease, as well as thirty-one healthy controls matched for age and gender, were measured. The severity of depression in MDD patients was measured via a BDI-II score and objective clinical assessment (AMDP). Intergroup statistical analysis was performed using ANCOVA. An intragroup multivariate regression analysis of patient psychological test results was calculated. Corrections for multiple comparisons was performed using FDR. RESULTS Significant differences between groups were observed in the left granular dorsal insula according to VBM-analysis. AMDP-scores positively correlated with cortical thickness in the right superior segment of the circular insular sulcus. CONCLUSIONS The combination of differences in grey matter volume between healthy controls and patients with a positive correlation of cortical thickness with disease severity underscores the insula's role in the pathogeneses of MDD. The connectivity hub insular cortex seems vulnerable to disruption in context of affective disease.
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Affiliation(s)
- Gereon J. Schnellbächer
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, 52074 Aachen, Germany
| | - Ravichandran Rajkumar
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, 52074 Aachen, Germany,Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Germany,JARA-BRAIN, 52074 Aachen, Germany
| | - Tanja Veselinović
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, 52074 Aachen, Germany,Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Germany
| | - Shukti Ramkiran
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, 52074 Aachen, Germany,Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Germany
| | - Jana Hagen
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, 52074 Aachen, Germany
| | - N. Jon Shah
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Germany,JARA-BRAIN, 52074 Aachen, Germany,Department of Neurology, RWTH Aachen University, 52074 Aachen, Germany,Institute of Neuroscience and Medicine 11, INM-11, Forschungszentrum Jülich, Germany
| | - Irene Neuner
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, 52074 Aachen, Germany,Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Germany,JARA-BRAIN, 52074 Aachen, Germany,Corresponding author.
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16
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Siegel-Ramsay JE, Bertocci MA, Wu B, Phillips ML, Strakowski SM, Almeida JRC. Distinguishing between depression in bipolar disorder and unipolar depression using magnetic resonance imaging: a systematic review. Bipolar Disord 2022; 24:474-498. [PMID: 35060259 DOI: 10.1111/bdi.13176] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Magnetic resonance imaging (MRI) studies comparing bipolar and unipolar depression characterize pathophysiological differences between these conditions. However, it is difficult to interpret the current literature due to differences in MRI modalities, analysis methods, and study designs. METHODS We conducted a systematic review of publications using MRI to compare individuals with bipolar and unipolar depression. We grouped studies according to MRI modality and task design. Within the discussion, we critically evaluated and summarized the functional MRI research and then further complemented these findings by reviewing the structural MRI literature. RESULTS We identified 88 MRI publications comparing participants with bipolar depression and unipolar depressive disorder. Compared to individuals with unipolar depression, participants with bipolar disorder exhibited heightened function, increased within network connectivity, and reduced grey matter volume in salience and central executive network brain regions. Group differences in default mode network function were less consistent but more closely associated with depressive symptoms in participants with unipolar depression but distractibility in bipolar depression. CONCLUSIONS When comparing mood disorder groups, the neuroimaging evidence suggests that individuals with bipolar disorder are more influenced by emotional and sensory processing when responding to their environment. In contrast, depressive symptoms and neurofunctional response to emotional stimuli were more closely associated with reduced central executive function and less adaptive cognitive control of emotionally oriented brain regions in unipolar depression. Researchers now need to replicate and refine network-level trends in these heterogeneous mood disorders and further characterize MRI markers associated with early disease onset, progression, and recovery.
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Affiliation(s)
- Jennifer E Siegel-Ramsay
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas, Austin, Texas, USA
| | - Michele A Bertocci
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Bryan Wu
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas, Austin, Texas, USA
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Stephen M Strakowski
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas, Austin, Texas, USA
| | - Jorge R C Almeida
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas, Austin, Texas, USA
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17
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Shared and specific characteristics of regional cerebral blood flow and functional connectivity in unmedicated bipolar and major depressive disorders. J Affect Disord 2022; 309:77-84. [PMID: 35452757 DOI: 10.1016/j.jad.2022.04.099] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 04/10/2022] [Accepted: 04/13/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND Identifying brain similarities and differences between bipolar disorder (BD) and major depressive disorder (MDD) can help us better understand their pathophysiological mechanisms and develop more effective treatments. However, the features of whole-brain regional cerebral blood flow (CBF) and intrinsic functional connectivity (FC) underlying BD and MDD have not been directly compared. METHODS Eighty-eight unmedicated BD II depression patients, 95 unmedicated MDD patients, and 96 healthy controls (HCs) underwent three-dimensional arterial spin labeling (3D ASL) and resting-state functional MRI (rs-fMRI). The functional properties of whole brain CBF and seed-based resting-state FC further performed based on those regions with changed CBF were analyzed between the three groups. RESULTS The patients with BD and MDD showed commonly increased CBF in the left posterior lobe of the cerebellum and the left middle temporal gyrus (MTG) compared with HCs. The CBF of the left MTG was positively associated with 24-items Hamilton Depression Rating Scale scores in MDD patients. Decreased FC between the left posterior lobe of the cerebellum and the left inferior frontal gyrus (IFG) was observed only in patients with BD compared with HCs. CONCLUSION Patients with BD and those with MDD shared common features of CBF in the posterior lobe of the cerebellum and the MTG. The altered posterior lobe of the cerebellum-IFG FC can be considered as a potential biomarker for the differentiation of patients with BD from those with MDD.
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18
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Briley PM, Webster L, Boutry C, Cottam WJ, Auer DP, Liddle PF, Morriss R. Resting-state functional connectivity correlates of anxiety co-morbidity in major depressive disorder. Neurosci Biobehav Rev 2022; 138:104701. [PMID: 35598819 DOI: 10.1016/j.neubiorev.2022.104701] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 04/17/2022] [Accepted: 05/13/2022] [Indexed: 10/18/2022]
Abstract
Major depressive disorder (MDD) is frequently co-morbid with anxiety disorders. The co-morbid state has poorer functional outcomes and greater resistance to first line treatments, highlighting the need for novel treatment targets. This systematic review examined differences in resting-state brain connectivity associated with anxiety comorbidity in young- and middle-aged adults with MDD, with the aim of identifying novel targets for neuromodulation treatments, as these treatments are thought to work partly by altering dysfunctional connectivity pathways. Twenty-one studies met inclusion criteria, including a total of 1292 people with MDD. Only two studies included people with MDD and formally diagnosed co-morbid anxiety disorders; the remainder included people with MDD with dimensional anxiety measurement. The quality of most studies was judged as fair. Results were heterogeneous, partly due to a focus on a small set of connectivity relationships within individual studies. There was evidence for dysconnectivity between the amygdala and other brain networks in co-morbid anxiety, and an indication that abnormalities of default mode network connectivity may play an underappreciated role in this condition.
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Affiliation(s)
- P M Briley
- Nottinghamshire Healthcare NHS Foundation Trust, Nottingham, UK; Institute of Mental Health, School of Medicine, University of Nottingham, Nottingham, UK.
| | - L Webster
- Nottinghamshire Healthcare NHS Foundation Trust, Nottingham, UK
| | - C Boutry
- Institute of Mental Health, School of Medicine, University of Nottingham, Nottingham, UK
| | - W J Cottam
- NIHR Nottingham Biomedical Research Centre, Queen's Medical Centre, University of Nottingham, Nottingham, UK; Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK; Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK
| | - D P Auer
- NIHR Nottingham Biomedical Research Centre, Queen's Medical Centre, University of Nottingham, Nottingham, UK; Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK; Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK
| | - P F Liddle
- Institute of Mental Health, School of Medicine, University of Nottingham, Nottingham, UK
| | - R Morriss
- Institute of Mental Health, School of Medicine, University of Nottingham, Nottingham, UK; NIHR Nottingham Biomedical Research Centre, Queen's Medical Centre, University of Nottingham, Nottingham, UK
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19
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Drachman R, Colic L, Sankar A, Spencer L, Goldman DA, Villa LM, Kim JA, Oquendo MA, Pittman B, Blumberg HP. Rethinking "aggression" and impulsivity in bipolar disorder: Risk, clinical and brain circuitry features. J Affect Disord 2022; 303:331-339. [PMID: 35181384 PMCID: PMC9109470 DOI: 10.1016/j.jad.2022.02.047] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 02/11/2022] [Accepted: 02/14/2022] [Indexed: 12/21/2022]
Abstract
BACKGROUND Elevated aggression and impulsivity are implicated in Bipolar Disorder (BD); however, relationships between these behavioral constructs have not been clarified, which can lead to misconceptions with negative consequences including stigma and adverse outcomes including suicide. The study aimed to clarify brain-based distinctions between the two constructs and their associations to risk factors, symptoms and suicide thoughts and behaviors. METHODS Self-rated Brown-Goodwin Aggression (BGA) and Barratt Impulsiveness Scale (BIS) scores were compared between adults with BD (n = 38, 74% female) and healthy controls (HC, n = 29, 64% female). Relationships were examined between BGA and BIS with childhood trauma questionnaire (CTQ), mood, comorbidities, and magnetic resonance imaging gray matter volume (GMV) assessments. RESULTS In BD, BGA and BIS total scores were both elevated and associated with childhood maltreatment (CM), particularly emotional CM, depression, substance use disorders (SUDs) and suicide attempts (SAs). BGA scores were increased by items corresponding to dysregulation of emotional and social behavior and associated with elevated mood states and suicide ideation and GMV decreases in bilateral orbitofrontal cortex and left posterior insula brain regions, previously associated with these behaviors and clinical features. BIS motor impulsiveness scores were associated with GMV decreases in anterior cingulate cortex implicated in mood and behavioral dyscontrol. LIMITATIONS modest sample size, self-reports CONCLUSIONS: The findings suggest separable brain-based domains of dysfunction in BD of motor impulsiveness versus emotionally dysregulated feelings that are primarily self-directed. Both domains are associated with suicide behavior and modifiable risk factors of CM, depression and SUDs that could be targeted for prevention.
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Affiliation(s)
- Rebecca Drachman
- Department of Psychiatry, Yale School of Medicine, 60 Temple Street, Suite 6B, New Haven, CT 06511, USA
| | - Lejla Colic
- Department of Psychiatry, Yale School of Medicine, 60 Temple Street, Suite 6B, New Haven, CT 06511, USA; Department of Psychiatry, Jena University Hospital, Jena, Germany
| | - Anjali Sankar
- Department of Psychiatry, Yale School of Medicine, 60 Temple Street, Suite 6B, New Haven, CT 06511, USA
| | - Linda Spencer
- Department of Psychiatry, Yale School of Medicine, 60 Temple Street, Suite 6B, New Haven, CT 06511, USA
| | - Danielle A Goldman
- Department of Psychiatry, Yale School of Medicine, 60 Temple Street, Suite 6B, New Haven, CT 06511, USA; Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT 06511, USA
| | - Luca M Villa
- Department of Psychiatry, Yale School of Medicine, 60 Temple Street, Suite 6B, New Haven, CT 06511, USA
| | - Jihoon A Kim
- Department of Psychiatry, Yale School of Medicine, 60 Temple Street, Suite 6B, New Haven, CT 06511, USA
| | - Maria A Oquendo
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Brian Pittman
- Department of Psychiatry, Yale School of Medicine, 60 Temple Street, Suite 6B, New Haven, CT 06511, USA
| | - Hilary P Blumberg
- Department of Psychiatry, Yale School of Medicine, 60 Temple Street, Suite 6B, New Haven, CT 06511, USA; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06511, USA; Child Study Center, Yale School of Medicine, New Haven, CT 06511, USA.
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Cha J, Spielberg JM, Hu B, Altinay M, Anand A. Resting-state functional connectivity graph-properties correlate with bipolar disorder-risk in young medication-free depressed subjects: Bipolar-risk Resting State Functional Connectivity in Major Depression. J Affect Disord 2022; 301:52-59. [PMID: 35007643 DOI: 10.1016/j.jad.2022.01.033] [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: 06/11/2021] [Revised: 12/28/2021] [Accepted: 01/04/2022] [Indexed: 10/19/2022]
Abstract
BACKGROUND Major Depressive Disorder (MDD) is frequently associated with risk factors for the development of Bipolar Disorder (BD). Using graph theory, we investigated brain network properties associated with BD risk factors in young MDD subjects. METHODS Resting-state fMRI was acquired from a large cohort (N= 104) of medication-free currently depressed participants (25 BD depression (BDD), 79 MDD). Lifetime mania symptom count (LMSC), current Young Mania Rating Scale (YMRS) score, and family history of mood disorders (FHMD) were examined as BD risk factors. Functional connectivity matrices from 280 regions of interests (ROIs) were first entered into the Network Based Statistic (NBS) toolbox to identify connections that varied with each risk factor. Next, within the correlated network for each risk factor, global and nodal graph properties for the top five linked nodes were calculated. Last, using identified graph properties, machine learning classification (MLC) between BDD, MDD with BD risk factors (MDD+), and without BD risk factors (MDD-) was conducted. RESULTS LMSC positively correlated with left lateral orbitofrontal cortex (LOFC) Communication Efficiency and with left middle temporal Eigenvector Centrality. Current YMRS score positively correlated with right amygdala Communication Efficiency and Closeness Centrality. FHMD positively correlated with right insula Eigenvector Centrality. Acceptable MLC accuracy was seen between BDD and MDD- using middle temporal Eigenvector Centrality, whereas moderate accuracy was seen between MDD+ and MDD- using OFC Communication Efficiency. LIMITATION Although participants were medication-free, they were not medication-naïve. CONCLUSION Functional connectome graph properties may serve as BD vulnerability biomarkers in young individuals with MDD.
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Affiliation(s)
- Jungwon Cha
- Department of Psychiatry, Mass General Brigham, Harvard Medical School, United States
| | - Jeffrey M Spielberg
- Department of Psychological and Brain Sciences, University of Delaware, United States
| | - Bo Hu
- Center for Quantitative Health Sciences, Cleveland Clinic, United States
| | - Murat Altinay
- Center for Behavioral Health, Cleveland Clinic, United States
| | - Amit Anand
- Department of Psychiatry, Mass General Brigham, Harvard Medical School, United States.
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21
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Claeys EHI, Mantingh T, Morrens M, Yalin N, Stokes PRA. Resting-state fMRI in depressive and (hypo)manic mood states in bipolar disorders: A systematic review. Prog Neuropsychopharmacol Biol Psychiatry 2022; 113:110465. [PMID: 34736998 DOI: 10.1016/j.pnpbp.2021.110465] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 10/01/2021] [Accepted: 10/27/2021] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Abnormalities in spontaneous brain activity, measured with resting-state functional magnetic resonance imaging (rs-fMRI), may be key biomarkers for bipolar disorders. This systematic review compares rs-fMRI findings in people experiencing a bipolar depressive or (hypo)manic episode to bipolar euthymia and/or healthy participants. METHODS Medline, Web of Science and Embase were searched up until April 2021. Studies without control group, or including minors, neurological co-morbidities or mixed episodes, were excluded. Qualitative synthesis was used to report results and risk of bias was assessed using the National Heart, Lung and Blood Institute tool for case-control studies. RESULTS Seventy-one studies were included (3167 bipolar depressed/706 (hypo)manic). In bipolar depression, studies demonstrated default-mode (DMN) and frontoparietal network (FPN) dysfunction, altered baseline activity in the precuneus, insula, striatum, cingulate, frontal and temporal cortex, and disturbed regional homogeneity in parietal, temporal and pericentral areas. Functional connectivity was altered in thalamocortical circuits and between the cingulate cortex and precuneus. In (hypo)mania, studies reported altered functional connectivity in the amygdala, frontal and cingulate cortex. Finally, rs-fMRI disturbances in the insula and putamen correlate with depressive symptoms, cerebellar resting-state alterations could evolve with disease progression and altered amygdala connectivity might mediate lithium effects. CONCLUSIONS Our results suggest DMN and FPN dysfunction in bipolar depression, whereas local rs-fMRI alterations might differentiate mood states. Future studies should consider controlling rs-fMRI findings for potential clinical confounding factors such as medication. Considerable heterogeneity of methodology between studies limits conclusions. Standardised clinical reporting and consistent analysis approaches would increase coherence in this promising field.
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Affiliation(s)
- Eva H I Claeys
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Department of Psychiatry, Collaborative Antwerp Psychiatric Research Institute (CAPRI), Faculty of Medicine and Health Sciences, University of Antwerp, Campus Drie Eiken, S.033, Universiteitsplein 1, 2610 Antwerpen, Belgium; Department of Psychiatry, University Psychiatric Centre Duffel, Stationsstraat 22, 2570 Duffel, Belgium
| | - Tim Mantingh
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Manuel Morrens
- Department of Psychiatry, Collaborative Antwerp Psychiatric Research Institute (CAPRI), Faculty of Medicine and Health Sciences, University of Antwerp, Campus Drie Eiken, S.033, Universiteitsplein 1, 2610 Antwerpen, Belgium; Department of Psychiatry, University Psychiatric Centre Duffel, Stationsstraat 22, 2570 Duffel, Belgium
| | - Nefize Yalin
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
| | - Paul R A Stokes
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
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22
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Association between resting-state functional connectivity of amygdala subregions and peripheral pro-inflammation cytokines levels in bipolar disorder. Brain Imaging Behav 2022; 16:1614-1626. [PMID: 35175549 DOI: 10.1007/s11682-022-00636-7] [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] [Accepted: 01/12/2022] [Indexed: 01/23/2023]
Abstract
The pathophysiological mechanisms of bipolar disorder (BD) are not completely known, and systemic inflammation and immune dysregulation are considered as risk factors. Previous neuroimaging studies have proved metabolic, structural and functional abnormalities of the amygdala in BD, suggesting the vital role of amygdala in BD patients. This study aimed to test the underlying neural mechanism of inflammation-induced functional connectivity (FC) in the amygdala subregions of BD patients. Resting-state functional MRI (rs-fMRI) was used to delineate the amygdala FC from two pairs of amygdala seed regions (the bilateral lateral and medial amygdala) in 51 unmedicated BD patients and 69 healthy controls (HCs). The levels of pro-inflammatory cytokines including interleukin (IL)-1β, IL-6 and tumor necrosis factor (TNF)-α were measured in the serum. The correlation between abnormal levels of pro-inflammatory cytokines and FC values were calculated in BD patients. The BD group exhibited decreased FC between the right medial amygdala and bilateral medial frontal cortex (MFC), and decreased FC between the left medial amygdala and the left temporal pole (TP), right orbital inferior frontal gyrus compared with HCs. The BD patients had higher levels of TNF-α than HCs. Correlation analysis showed negative correlation between the TNF-α level and abnormal FC of the right medial amygdala-bilateral MFC; and negative correlation between TNF-α levels and abnormal FC of the left medial amygdala-left TP in BD group. These findings suggest that dysfunctional and immune dysregulation between the amygdala and the frontotemporal circuitry might play a critical role in the pathogenesis of BD.
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23
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Moraga-Amaro R, Guerrin CGJ, Reali Nazario L, Lima Giacobbo B, J O Dierckx RA, Stehberg J, de Vries EFJ, Doorduin J. A single dose of ketamine cannot prevent protracted stress-induced anhedonia and neuroinflammation in rats. Stress 2022; 25:145-155. [PMID: 35384793 DOI: 10.1080/10253890.2022.2045269] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Worldwide, millions of people suffer from treatment-resistant depression. Ketamine, a glutamatergic receptor antagonist, can have a rapid antidepressant effect even in treatment-resistant patients. A proposed mechanism for the antidepressant effect of ketamine is the reduction of neuroinflammation. To further explore this hypothesis, we investigated whether a single dose of ketamine can modulate protracted neuroinflammation in a repeated social defeat (RSD) stress rat model, which resembles features of depression. To this end, male animals exposed to RSD were injected with ketamine (20 mg/kg) or vehicle. A combination of behavioral analyses and PET scans of the inflammatory marker TSPO in the brain were performed. Rats submitted to RSD showed anhedonia-like behavior in the sucrose preference test, decreased weight gain, and increased TSPO levels in the insular and entorhinal cortices, as observed by [11C]-PK11195 PET. Whole brain TSPO levels correlated with corticosterone levels in several brain regions of RSD exposed animals, but not in controls. Ketamine injection 1 day after RSD disrupted the correlation between TSPO levels and serum corticosterone levels, but had no effect on depressive-like symptoms, weight gain or the protracted RSD-induced increase in TSPO expression in male rats. These results suggest that ketamine does not exert its effect on the hypothalamic-pituitary-adrenal axis by modulation of neuroinflammation.
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Affiliation(s)
- Rodrigo Moraga-Amaro
- Department of Nuclear Medicine and Medical Imaging, University Medical Center Groningen, University of Groningen, Groningen, GZ, The Netherlands
| | - Cyprien G J Guerrin
- Department of Nuclear Medicine and Medical Imaging, University Medical Center Groningen, University of Groningen, Groningen, GZ, The Netherlands
| | - Luiza Reali Nazario
- Department of Nuclear Medicine and Medical Imaging, University Medical Center Groningen, University of Groningen, Groningen, GZ, The Netherlands
| | - Bruno Lima Giacobbo
- Department of Nuclear Medicine and Medical Imaging, University Medical Center Groningen, University of Groningen, Groningen, GZ, The Netherlands
| | - Rudi A J O Dierckx
- Department of Nuclear Medicine and Medical Imaging, University Medical Center Groningen, University of Groningen, Groningen, GZ, The Netherlands
| | - Jimmy Stehberg
- Laboratorio de Neurobiología, Instituto de Ciencias Biomédicas, Facultad de Medicina y Facultad de Ciencias de la Vida, Universidad Andrés Bello, Santiago, Chile
| | - Erik F J de Vries
- Department of Nuclear Medicine and Medical Imaging, University Medical Center Groningen, University of Groningen, Groningen, GZ, The Netherlands
| | - Janine Doorduin
- Department of Nuclear Medicine and Medical Imaging, University Medical Center Groningen, University of Groningen, Groningen, GZ, The Netherlands
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24
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Ge R, Hassel S, Arnott SR, Davis AD, Harris JK, Zamyadi M, Milev R, Frey BN, Strother SC, Müller DJ, Rotzinger S, MacQueen GM, Kennedy SH, Lam RW, Vila-Rodriguez F. Structural covariance pattern abnormalities of insula in major depressive disorder: A CAN-BIND study report. Prog Neuropsychopharmacol Biol Psychiatry 2021; 111:110194. [PMID: 33296696 DOI: 10.1016/j.pnpbp.2020.110194] [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: 05/20/2020] [Revised: 09/25/2020] [Accepted: 11/30/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND METHODS Investigation of the insula may inform understanding of the etiopathogenesis of major depressive disorder (MDD). In the present study, we introduced a novel gray matter volume (GMV) based structural covariance technique, and applied it to a multi-centre study of insular subregions of 157 patients with MDD and 93 healthy controls from the Canadian Biomarker Integration Network in Depression (CAN-BIND, https://www.canbind.ca/). Specifically, we divided the unilateral insula into three subregions, and investigated their coupling with whole-brain GMV-based structural brain networks (SBNs). We compared between-group difference of the structural coupling patterns between the insular subregions and SBNs. RESULTS The insula was divided into three subregions, including an anterior one, a superior-posterior one and an inferior-posterior one. In the comparison between MDD patients and controls we found that patients' right anterior insula showed increased inter-network coupling with the default mode network, and it showed decreased inter-network coupling with the central executive network; whereas patients' right ventral-posterior insula showed decreased inter-network coupling with the default mode network, and it showed increased inter-network coupling with the central executive network. We also demonstrated that patients' loading parameters of the right ventral-posterior insular structural covariance negatively correlated with their suicidal ideation scores; and controls' loading parameters of the right ventral-posterior insular structural covariance positively correlated with their motor and psychomotor speed scores, whereas these phenomena were not found in patients. Additionally, we did not find significant inter-network coupling between the whole-brain SBNs, including salience network, default mode network, and central executive network. CONCLUSIONS Our work proposed a novel technique to investigate the structural covariance coupling between large-scale structural covariance networks, and provided further evidence that MDD is a system-level disorder that shows disrupted structural coupling between brain networks.
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Affiliation(s)
- Ruiyang Ge
- Non-Invasive Neurostimulation Therapies (NINET) Laboratory, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Stefanie Hassel
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada; Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada
| | | | - Andrew D Davis
- Department of Psychology, Neuroscience & Behaviour, McMaster University, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | | | - Mojdeh Zamyadi
- Rotman Research Institute, Baycrest, Toronto, ON, Canada
| | - Roumen Milev
- Department of Psychiatry, Queen's University and Providence Care Hospital, Kingston, ON, Canada; Department of Psychology, Queen's University, Kingston, ON, Canada
| | - Benicio N Frey
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada; Mood Disorders Program and Women's Health Concerns Clinic, St. Joseph's Healthcare, Hamilton, ON, Canada
| | | | - Daniel J Müller
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Susan Rotzinger
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, Krembil Research Centre, University Health Network, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Glenda M MacQueen
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Sidney H Kennedy
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, Krembil Research Centre, University Health Network, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada; Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada
| | - Raymond W Lam
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Fidel Vila-Rodriguez
- Non-Invasive Neurostimulation Therapies (NINET) Laboratory, Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.
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25
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Prefrontal-limbic-striatum dysconnectivity associated with negative emotional endophenotypes in bipolar disorder during depressive episodes. J Affect Disord 2021; 295:422-430. [PMID: 34507222 DOI: 10.1016/j.jad.2021.08.055] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 07/24/2021] [Accepted: 08/21/2021] [Indexed: 01/23/2023]
Abstract
BACKGROUND The prefrontal-limbic-subcortical network has been suggested as an important circuitry in the pathophysiology underlying bipolar disorder during depressive episodes (BDD). However, the relationships between disrupted prefrontal-limbic-subcortical connection and the emotional endophenotypes in BDD patients remain largely unclear. METHODS Forty-three BDD patients and 63 matched healthy controls (HCs) underwent the resting-state functional magnetic resonance imaging scan. The altered clusters were first identified by using a spatial pairwise clustering method and then were extracted as regions of interest to calculate the functional connectivity (FC). Group comparisons were conducted to identify the abnormal FCs. Classification analysis was employed to examine whether the altered FCs could distinguish BDD from HCs. The relationships between FC alterations and the emotional endophenotypes as measured by the Affective Neuroscience Personality Scales (ANPS) were further detected in BDD. RESULTS Compared with HCs, BDD patients showed abnormal FCs in the prefrontal-limbic-striatum circuit. Importantly, the altered FCs yielded 84.91% accuracy (p< 1/5000) with 93.65% sensitivity and 72.09% specificity in differentiating between BDD and HCs. Moreover, the decreased FCs in the prefrontal-striatum and prefrontal-limbic systems were positively correlated with negative emotional endophenotypes of Sadness and Fear scores. CONCLUSIONS The findings demonstrated that prefrontal-limbic-striatum disconnection may be identified as a potential effective biomarker for BDD, which could help further explain the neurobiological mechanisms underlying BDD.
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26
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Qi J, Li BZ, Zhang Y, Pan B, Gao YH, Zhan H, Liu Y, Shao YC, Zhang X. Altered Hypothalamic Functional Connectivity Following Total Sleep Deprivation in Young Adult Males. Front Neurosci 2021; 15:688247. [PMID: 34658753 PMCID: PMC8517525 DOI: 10.3389/fnins.2021.688247] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 09/10/2021] [Indexed: 01/10/2023] Open
Abstract
Background: Sleep deprivation can markedly influence vigilant attention that is essential to complex cognitive processes. The hypothalamus plays a critical role in arousal and attention regulation. However, the functional involvement of the hypothalamus in attentional impairments after total sleep deprivation (TSD) remains unclear. The purpose of this study is to investigate the alterations in hypothalamic functional connectivity and its association with the attentional performance following TSD. Methods: Thirty healthy adult males were recruited in the study. Participants underwent two resting-state functional magnetic resonance imaging (rs-fMRI) scans, once in rested wakefulness (RW) and once after 36 h of TSD. Seed-based functional connectivity analysis was performed using rs-fMRI for the left and right hypothalamus. Vigilant attention was measured using a psychomotor vigilance test (PVT). Furthermore, Pearson correlation analysis was conducted to investigate the relationship between altered hypothalamic functional connectivity and PVT performance after TSD. Results: After TSD, enhanced functional connectivity was observed between the left hypothalamus and bilateral thalamus, bilateral anterior cingulate cortex, right amygdala, and right insula, while reduced functional connectivity was observed between the left hypothalamus and bilateral middle frontal gyrus (AlphaSim corrected, P < 0.01). However, significant correlation between altered hypothalamic functional connectivity and PVT performance was not observed after Bonferroni correction (P > 0.05). Conclusion: Our results suggest that TSD can lead to disrupted hypothalamic circuits, which may provide new insight into neural mechanisms of attention impairments following sleep deprivation.
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Affiliation(s)
- Jing Qi
- School of Medicine, Nankai University, Tianjin, China.,Department of Neurology, The Second Medical Center, Sleep Medicine Research Center, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Bo-Zhi Li
- Department of Neurology, The Second Medical Center, Sleep Medicine Research Center, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Ying Zhang
- The Eighth Medical Center of the General Hospital of People's Liberation Army, Beijing, China
| | - Bei Pan
- Air Force Medical Center, PLA, Beijing, China
| | - Yu-Hong Gao
- National Clinical Research Centre for Geriatric Diseases, Second Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Hao Zhan
- Air Force Medical Center, PLA, Beijing, China
| | - Yong Liu
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Yong-Cong Shao
- Shool of Psychology, Beijing Sport University, Beijing, China.,School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Xi Zhang
- School of Medicine, Nankai University, Tianjin, China.,Department of Neurology, The Second Medical Center, Sleep Medicine Research Center, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
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27
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Horstman LI, Riem MME, Alyousefi-van Dijk K, Lotz AM, Bakermans-Kranenburg MJ. Fathers' Involvement in Early Childcare is Associated with Amygdala Resting-State Connectivity. Soc Cogn Affect Neurosci 2021; 17:198-205. [PMID: 34651177 PMCID: PMC8847902 DOI: 10.1093/scan/nsab086] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 06/18/2021] [Accepted: 10/13/2021] [Indexed: 11/18/2022] Open
Abstract
Becoming a parent requires new skills and frequent task switching during daily childcare. Little is known about the paternal brain during the transition to fatherhood. The present study examined intrinsic neuronal network connectivity in a group of first-time expectant and new fathers (total N = 131) using amygdala seed-based resting-state functional connectivity analysis. Furthermore, we examined the association between paternal involvement (i.e. hours spent in childcare and real-time push notifications on smartphone) and connectivity within the parental brain network in new fathers. There were no significant differences in functional connectivity between expectant and new fathers. However, results show that in new fathers, time spent in childcare was positively related to amygdala connectivity with the supramarginal gyrus, postcentral gyrus and the superior parietal lobule—all regions within the cognition/mentalizing network that have been associated with empathy and social cognition. Our results suggest that fathers’ time investment in childcare is related to connectivity networks in the parental brain.
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Affiliation(s)
- Lisa I Horstman
- Clinical Child & Family Studies, Faculty of Behavioral and Movement Sciences, Vrije Universiteit, Amsterdam, the Netherlands.,Leiden Institute for Brain and Cognition, Leiden University Medical Center, Leiden, the Netherlands
| | - Madelon M E Riem
- Clinical Child & Family Studies, Faculty of Behavioral and Movement Sciences, Vrije Universiteit, Amsterdam, the Netherlands.,Behavioral Science Institute, Radboud University, The Netherlands
| | - Kim Alyousefi-van Dijk
- Clinical Child & Family Studies, Faculty of Behavioral and Movement Sciences, Vrije Universiteit, Amsterdam, the Netherlands.,Leiden Institute for Brain and Cognition, Leiden University Medical Center, Leiden, the Netherlands
| | - Anna M Lotz
- Clinical Child & Family Studies, Faculty of Behavioral and Movement Sciences, Vrije Universiteit, Amsterdam, the Netherlands.,Leiden Institute for Brain and Cognition, Leiden University Medical Center, Leiden, the Netherlands
| | - Marian J Bakermans-Kranenburg
- Clinical Child & Family Studies, Faculty of Behavioral and Movement Sciences, Vrije Universiteit, Amsterdam, the Netherlands.,Leiden Institute for Brain and Cognition, Leiden University Medical Center, Leiden, the Netherlands
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28
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Understanding complex functional wiring patterns in major depressive disorder through brain functional connectome. Transl Psychiatry 2021; 11:526. [PMID: 34645783 PMCID: PMC8513388 DOI: 10.1038/s41398-021-01646-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 09/20/2021] [Accepted: 09/29/2021] [Indexed: 02/06/2023] Open
Abstract
Brain function relies on efficient communications between distinct brain systems. The pathology of major depressive disorder (MDD) damages functional brain networks, resulting in cognitive impairment. Here, we reviewed the associations between brain functional connectome changes and MDD pathogenesis. We also highlighted the utility of brain functional connectome for differentiating MDD from other similar psychiatric disorders, predicting recurrence and suicide attempts in MDD, and evaluating treatment responses. Converging evidence has now linked aberrant brain functional network organization in MDD to the dysregulation of neurotransmitter signaling and neuroplasticity, providing insights into the neurobiological mechanisms of the disease and antidepressant efficacy. Widespread connectome dysfunctions in MDD patients include multiple, large-scale brain networks as well as local disturbances in brain circuits associated with negative and positive valence systems and cognitive functions. Although the clinical utility of the brain functional connectome remains to be realized, recent findings provide further promise that research in this area may lead to improved diagnosis, treatments, and clinical outcomes of MDD.
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29
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Zheng H, Ford BN, Kuplicki R, Burrows K, Hunt PW, Bodurka J, Kent Teague T, Irwin MR, Yolken RH, Paulus MP, Savitz J. Association between cytomegalovirus infection, reduced gray matter volume, and resting-state functional hypoconnectivity in major depressive disorder: a replication and extension. Transl Psychiatry 2021; 11:464. [PMID: 34493708 PMCID: PMC8423754 DOI: 10.1038/s41398-021-01558-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 08/03/2021] [Accepted: 08/11/2021] [Indexed: 02/08/2023] Open
Abstract
Human cytomegalovirus (HCMV) is a neurotropic herpes virus known to cause neuropathology in patients with impaired immunity. Previously, we reported a reduction in the gray matter volume (GMV) of several brain regions in two independent samples of participants who were seropositive for HCMV (HCMV+) compared to matched participants who were seronegative for HCMV (HCMV-). In addition to an independent replication of the GMV findings, this study aimed to examine whether HCMV+ was associated with differences in resting-state functional connectivity (rsfMRI-FC). After balancing on 11 clinical/demographic variables using inverse probability of treatment weighting (IPTW), GMV and rsfMRI-FC were obtained from 99 participants with major depressive disorder (MDD) who were classified into 42 HCMV+ and 57 HCMV- individuals. Relative to the HCMV- group, the HCMV+ group showed a significant reduction of GMV in nine cortical regions. Volume reduction in the right lateral orbitofrontal cortex (standardized beta coefficient (SBC) = -0.32, [95%CI, -0.62 to -0.02]) and the left pars orbitalis (SBC = -0.34, [95%CI, -0.63 to -0.05]) in the HCMV+ group was also observed in the previous study. Regardless of the parcellation method or analytical approach, relative to the HCMV- group, the HCMV+ group showed hypoconnectivity between the hubs of the sensorimotor network (bilateral postcentral gyrus) and the hubs of the salience network (bilateral insula) with effect sizes ranging from SBC = -0.57 to -0.99. These findings support the hypothesis that a positive HCMV serostatus is associated with altered connectivity of regions that are important for stress and affective processing and further supports a possible etiological role of HCMV in depression.
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Affiliation(s)
- Haixia Zheng
- Laureate Institute for Brain Research, Tulsa, OK, USA.
| | - Bart N Ford
- Laureate Institute for Brain Research, Tulsa, OK, USA
- Oklahoma State Univerisity, Department of Pharmacology and Physiology, Tulsa, OK, USA
| | | | | | - Peter W Hunt
- Department of Medicine, the University of California, San Francisco, School of Medicine, San Francisco, CA, USA
| | - Jerzy Bodurka
- Laureate Institute for Brain Research, Tulsa, OK, USA
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, USA
| | - T Kent Teague
- Department of Surgery, University of Oklahoma School of Community Medicine, Tulsa, OK, USA
- Department of Psychiatry, University of Oklahoma School of Community Medicine, Tulsa, OK, USA
- Department of Biochemistry and Microbiology, Oklahoma State University Center for Health Sciences, Tulsa, OK, USA
| | - Michael R Irwin
- Cousins Center for Psychoneuroimmunology at UCLA, Los Angeles, CA, USA
- Semel Institute for Neuroscience at UCLA, Los Angeles, CA, USA
- David Geffen School of Medicine, Los Angeles, CA, USA
| | - Robert H Yolken
- Stanley Division of Developmental Neurovirology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Martin P Paulus
- Laureate Institute for Brain Research, Tulsa, OK, USA
- Oxley College of Health Sciences, The University of Tulsa, Tulsa, OK, USA
| | - Jonathan Savitz
- Laureate Institute for Brain Research, Tulsa, OK, USA
- Oxley College of Health Sciences, The University of Tulsa, Tulsa, OK, USA
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Pastrnak M, Simkova E, Novak T. Insula activity in resting-state differentiates bipolar from unipolar depression: a systematic review and meta-analysis. Sci Rep 2021; 11:16930. [PMID: 34417487 PMCID: PMC8379217 DOI: 10.1038/s41598-021-96319-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 07/26/2021] [Indexed: 02/07/2023] Open
Abstract
Symptomatic overlap of depressive episodes in bipolar disorder (BD) and major depressive disorder (MDD) is a major diagnostic and therapeutic problem. Mania in medical history remains the only reliable distinguishing marker which is problematic given that episodes of depression compared to episodes of mania are more frequent and predominantly present at the beginning of BD. Resting-state functional magnetic resonance imaging (rs-fMRI) is a non-invasive, task-free, and well-tolerated method that may provide diagnostic markers acquired from spontaneous neural activity. Previous rs-fMRI studies focused on differentiating BD from MDD depression were inconsistent in their findings due to low sample power, heterogeneity of compared samples, and diversity of analytical methods. This meta-analysis investigated resting-state activity differences in BD and MDD depression using activation likelihood estimation. PubMed, Web of Science, Scopus and Google Scholar databases were searched for whole-brain rs-fMRI studies which compared MDD and BD currently depressed patients between Jan 2000 and August 2020. Ten studies were included, representing 234 BD and 296 MDD patients. The meta-analysis found increased activity in the left insula and adjacent area in MDD compared to BD. The finding suggests that the insula is involved in neural activity patterns during resting-state that can be potentially used as a biomarker differentiating both disorders.
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Affiliation(s)
- Martin Pastrnak
- National Institute of Mental Health, Clinic, 250 67, Klecany, Czech Republic.
- 3rd Faculty of Medicine, Charles University, 100 00, Prague, Czech Republic.
| | - Eva Simkova
- National Institute of Mental Health, Clinic, 250 67, Klecany, Czech Republic
- 3rd Faculty of Medicine, Charles University, 100 00, Prague, Czech Republic
| | - Tomas Novak
- National Institute of Mental Health, Clinic, 250 67, Klecany, Czech Republic
- 3rd Faculty of Medicine, Charles University, 100 00, Prague, Czech Republic
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Qi J, Li BZ, Zhang Y, Pan B, Gao YH, Zhan H, Liu Y, Shao YC, Zhang X. Altered insula-prefrontal functional connectivity correlates to decreased vigilant attention after total sleep deprivation. Sleep Med 2021; 84:187-194. [PMID: 34166985 DOI: 10.1016/j.sleep.2021.05.037] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 04/02/2021] [Accepted: 05/30/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND Sleep deprivation can robustly affect vigilant attention. The insula is a key hub of the salience network that mediates shifting attention between endogenous and exogenous states. However, little is known regarding the involvement of insular functional connectivity in impaired vigilant attention after total sleep deprivation (TSD). The purpose of this study is to explore the alterations in insular functional connectivity and its association with vigilant attention performance following TSD. METHODS Twenty-six adult men were enrolled in the study. Participants underwent two counterbalanced resting-state functional magnetic resonance imaging (rs-fMRI) scans, once in rested wakefulness (RW) and once after 36 h of TSD. Seed-based functional connectivity analysis was performed using rs-fMRI data for the left and right insula. The vigilant attention was measured using a psychomotor vigilance test (PVT). Furthermore, Pearson correlation analysis was conducted to investigate the relationship between altered insular functional connectivity and PVT performance. RESULTS Compared to RW, enhanced functional connectivity was observed between the insula and prefrontal cortex and anterior cingulate cortex, while reduced functional connectivity was observed between the insula and temporal, parietal, and occipital regions following TSD. Moreover, altered insular functional connectivity with the prefrontal cortex, ie superior frontal gyrus and middle frontal gyrus, and inferior temporal gyrus was correlated with PVT performance after TSD. CONCLUSION Our results suggest that insular coupling with the prefrontal cortex and inferior temporal gyrus may act as neural indicators for vigilant attention impairment, which further reveals the critical role of the salience network in cognitive decline following TSD.
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Affiliation(s)
- Jing Qi
- School of Medicine, Nankai University, Tianjin, 300071, China; Department of Neurology, The Second Medical Center, Sleep Medicine Research Center, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China
| | - Bo-Zhi Li
- Department of Neurology, The Second Medical Center, Sleep Medicine Research Center, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China
| | - Ying Zhang
- The Eighth Medical Center of the General Hospital of People's Liberation Army, Beijing, 100091, China
| | - Bei Pan
- Airforce Medical Center, PLA, Beijing, 100142, China
| | - Yu-Hong Gao
- National Clinical Research Centre for Geriatric Diseases, Second Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Hao Zhan
- Airforce Medical Center, PLA, Beijing, 100142, China
| | - Yong Liu
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yong-Cong Shao
- School of Psychology, Beijing Sport University, Beijing, 100084, China; School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.
| | - Xi Zhang
- Department of Neurology, The Second Medical Center, Sleep Medicine Research Center, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China; School of Medicine, Nankai University, Tianjin, 300071, China.
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Altered functional connectivity between the nucleus basalis of Meynert and anterior cingulate cortex is associated with declined attentional performance after total sleep deprivation. Behav Brain Res 2021; 409:113321. [PMID: 33910027 DOI: 10.1016/j.bbr.2021.113321] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 04/15/2021] [Accepted: 04/20/2021] [Indexed: 12/27/2022]
Abstract
BACKGROUND Sleep deprivation can markedly influence vigilant attention. The nucleus basalis of Meynert (NBM), the main source of cholinergic projections to the cortex, plays an important role in wakefulness maintenance and attention control. However, the involvement of NBM in attentional impairments after total sleep deprivation (TSD) has yet to be established. The purpose of this study is to investigate the alterations in NBM functional connectivity and its association with the attentional performance following TSD. METHODS Thirty healthy adult males were recruited in the study. Participants underwent two resting-state functional magnetic resonance imaging (rs-fMRI) scans, once in rested wakefulness (RW) and once after 36 h of TSD. Seed-based functional connectivity analysis was performed using rs-fMRI data for the left and right NBM. The vigilant attention was measured using a psychomotor vigilance test (PVT). Furthermore, Pearson correlation analysis was conducted to investigate the relationship between altered NBM functional connectivity and changed PVT performance after TSD. RESULTS Compared to RW, enhanced functional connectivity was observed between right NBM and bilateral thalamus and cingulate cortex, while reduced functional connectivity was observed between left NBM and right superior parietal lobule following TSD. Moreover, altered NBM functional connectivity with the left anterior cingulate cortex was negatively correlated with PVT performance after TSD. CONCLUSION Our results suggest that the disrupted NBM-related cholinergic circuit highlights an important role in attentional performance after TSD. The enhanced NBM functional connectivity with the anterior cingulate cortex may act as neural signatures for attentional deficits induced by sleep deprivation.
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Fu Y, Long Z, Luo Q, Xu Z, Xiang Y, Du W, Cao Y, Cheng X, Du L. Functional and Structural Connectivity Between the Left Dorsolateral Prefrontal Cortex and Insula Could Predict the Antidepressant Effects of Repetitive Transcranial Magnetic Stimulation. Front Neurosci 2021; 15:645936. [PMID: 33841087 PMCID: PMC8032871 DOI: 10.3389/fnins.2021.645936] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Accepted: 02/25/2021] [Indexed: 11/29/2022] Open
Abstract
Background The efficacy of repetitive transcranial magnetic stimulation (rTMS) in depression is nonuniform across patients. This study aims to determine whether baseline neuroimaging characters can provide a pretreatment predictive effect for rTMS. Methods Twenty-seven treatment-naive patients with major depressive disorder (MDD) were enrolled and scanned with resting-state functional magnetic resonance imaging (fMRI) and diffusion tensor imaging. Clinical symptoms were assessed pre- and post-rTMS. Functional and structural connectivity between the left dorsolateral prefrontal cortex (DLPFC) and bilateral insula were measured, and the connectivity strength in each modality was then correlated to the clinical efficacy of rTMS. Results When the coordinates of left DLPFC were located as a node in the central executive network, the clinical efficacy of rTMS was significantly correlated with the functional connectivity strength between left DLPFC and bilateral insula (left insula: r = 0.66; right insula: r = 0.65). The structural connectivity strength between the left DLPFC and left insular cortex also had a significantly positive correlation with symptom improvement (rs = 0.458). Conclusion This study provides implications that rTMS might act more effectively when the pretreatment functional and structural connectivity between the insula and left DLPFC is stronger.
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Affiliation(s)
- Yixiao Fu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhiliang Long
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China
| | - Qinghua Luo
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhen Xu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yisijia Xiang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wanyi Du
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yuanyuan Cao
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaoli Cheng
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lian Du
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Xi C, Lai J, Du Y, Ng CH, Jiang J, Wu L, Zhang P, Xu Y, Hu S. Abnormal functional connectivity within the reward network: a potential neuroimaging endophenotype of bipolar disorder. J Affect Disord 2021; 280:49-56. [PMID: 33221607 DOI: 10.1016/j.jad.2020.11.072] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Revised: 08/25/2020] [Accepted: 11/08/2020] [Indexed: 11/28/2022]
Abstract
BACKGROUND Reward circuit dysfunction underlies the pathogenesis of bipolar disorder (BD). This study aims to investigate whether nucleus accumbens (NAcc) and ventromedial prefrontal cortex (vmPFC), two key reward regions for BD, have resting-state dysfunctional connectivity with other brain regions in depressed and euthymic BD. METHODS 40 bipolar depressive (DE), 20 euthymic patients (EU) and 20 healthy controls (HC) were recruited to undergo resting-state functional MRI (rs-fMRI) scanning. Seed-based functional connectivity (FC) was calculated between NAcc/vmPFC and the whole brain. Group differences were calculated and their correlations with clinical characteristics were analyzed. Support vector machine was applied to classify BD patients and HC based on the FC between the cluster of group difference and NAcc/vmPFC. RESULTS Whole brain networks of FC identified right anterior insular cortex (AIC) as a significant region with bilateral NAcc when compared among three groups. The right AIC-NAcc FC elevated in both patient groups and was highest in the EU group. Interestingly, vmPFC-based networks also identified the right AIC as a significant cluster. The right AIC-vmPFC FC elevated in both patient groups. However, FC between NAcc and vmPFC did not significantly differ BD patients from HC. Furthermore, the strength of FC between bilateral NAcc and the right AIC was positively associated with the illness course of BD. Notably, the NAcc/vmPFC-right AIC classifier acquired an accuracy of 68.75% and AUC-ROC of 78.17%. LIMITATIONS Our sample size is modest. CONCLUSIONS Our findings indicated that elevated NAcc/vmPFC-right AIC connectivity within the reward circuit could be a neuroimaging endophenotype of BD.
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Affiliation(s)
- Caixi Xi
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Jianbo Lai
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorder's Management in Zhejiang Province, Hangzhou 310003, China; Brain Research Institute of Zhejiang University, Hangzhou 310003, China
| | - Yanli Du
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Chee H Ng
- Department of Psychiatry, The Melbourne Clinic and St Vincent's Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - Jiajun Jiang
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Lingling Wu
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Peifen Zhang
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Yi Xu
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorder's Management in Zhejiang Province, Hangzhou 310003, China; Brain Research Institute of Zhejiang University, Hangzhou 310003, China
| | - Shaohua Hu
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorder's Management in Zhejiang Province, Hangzhou 310003, China; Brain Research Institute of Zhejiang University, Hangzhou 310003, China.
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Mak ADP, Leung ONW, Chou IWY, Wong SLY, Chu WCW, Yeung D, So SHW, Ma SL, Lam LCW, Leung CM, Lee S. White matter integrity in young medication-naïve bipolar II depressed adults. Sci Rep 2021; 11:1816. [PMID: 33469064 PMCID: PMC7815920 DOI: 10.1038/s41598-021-81355-9] [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: 09/21/2020] [Accepted: 01/06/2021] [Indexed: 11/29/2022] Open
Abstract
It is unknown if young medication-naïve bipolar II (BPII) depressed patients have increased white matter (WM) disruptions. 27 each of young (average 23 years) and treatment-naïve BPII depressed, unipolar depressed (UD) patients and age–sex–education matched healthy controls (HC) underwent 3 T MRIs with diffusion tensor imaging. Diagnostic ratings included Structured Clinical Interview for DSM Disorders (SCID), Montgomery-Åsberg Depression Rating Scale (MADRS), Young Mania Rating Scale (YMRS) and Hamilton Anxiety Rating Scale (HAM-A). Patients were clinically depressed (MADRS-BPII: 26.15 [SD9.25], UD: 25.56 [5.24], p = 0.86). Compared to UD, BPII had increased family bipolarity (BPII 13.6% vs UD 2.5%, p = 0.01, φc = 0.28), hypomanic symptoms (YMRS-BPII: 4.22 [4.24], UD: 1.33 [2], p = 0.02, d = 0.87), lifetime number of depressive episodes (BPII: 2.37 [1.23], UD: 1.44 [0.75], p = 0.02, d = 0.91), lifetime and current-year number of episodes (lifetime BPII: 50.85 [95.47], UD: 1.7 [1.03]; current-year BPII: 9.93 [16.29], UD: 1.11 [0.32], ps = 0.04, ds = 0.73–0.77) and longer illness duration (BPII: 4.96 years [3.96], UD: 2.99 [3.33], p = 0.15, d = 0.54). BPII showed no increased WM disruptions vs UD or HC in any of the 15 a priori WM tracts. UD had lower right superior longitudinal fasciculus (SLF) (temporal) axial diffusivity (AD) (1.14 vs 1.17 (BPII), 1.16 (HC); F = 6.93, 95% CI of\documentclass[12pt]{minimal}
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\begin{document}$${F}_{B}$$\end{document}FB: 0.00073, 5.22, ηp2 = 0.15). Principal component analysis followed by exploratory linear discriminant analysis showed that increased R-SLF (temporal) AD, YMRS and family bipolarity distinguished BPII from UD (81.5% sensitivity, 85.2% specificity) independent of episode number and frequency. Young, medication-naïve adults with BPII depression did not show the WM disruptions distinguishing more chronically ill BP patients from UD. These WM disruptions may therefore be partly attributable to illness chronicity. Longitudinal studies should examine the trajectory of WM changes in BPII and UD and predictive validity of these baseline clinical and imaging parameters.
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Affiliation(s)
- Arthur Dun Ping Mak
- Department of Psychiatry, G/F Multicentre, Tai Po Hospital, The Chinese University of Hong Kong, Tai Po, Hong Kong, SAR, China.
| | - Owen Ngo Wang Leung
- Department of Psychiatry, G/F Multicentre, Tai Po Hospital, The Chinese University of Hong Kong, Tai Po, Hong Kong, SAR, China
| | - Idy Wing Yi Chou
- Department of Psychiatry, G/F Multicentre, Tai Po Hospital, The Chinese University of Hong Kong, Tai Po, Hong Kong, SAR, China
| | - Sheila Lok Yiu Wong
- Department of Psychiatry, G/F Multicentre, Tai Po Hospital, The Chinese University of Hong Kong, Tai Po, Hong Kong, SAR, China
| | - Winnie Chiu-Wing Chu
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, SAR, China
| | - David Yeung
- Department of Clinical Oncology, Prince of Wales Hospital, Hong Kong, SAR, China
| | - Suzanne Ho-Wai So
- Department of Psychology, The Chinese University of Hong Kong, Hong Kong, SAR, China
| | - Suk Ling Ma
- Department of Psychiatry, G/F Multicentre, Tai Po Hospital, The Chinese University of Hong Kong, Tai Po, Hong Kong, SAR, China
| | - Linda Chiu Wah Lam
- Department of Psychiatry, G/F Multicentre, Tai Po Hospital, The Chinese University of Hong Kong, Tai Po, Hong Kong, SAR, China
| | - Chi Ming Leung
- Department of Psychiatry, G/F Multicentre, Tai Po Hospital, The Chinese University of Hong Kong, Tai Po, Hong Kong, SAR, China
| | - Sing Lee
- Department of Psychiatry, G/F Multicentre, Tai Po Hospital, The Chinese University of Hong Kong, Tai Po, Hong Kong, SAR, China
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Jiang X, Wang X, Jia L, Sun T, Kang J, Zhou Y, Wei S, Wu F, Kong L, Wang F, Tang Y. Structural and functional alterations in untreated patients with major depressive disorder and bipolar disorder experiencing first depressive episode: A magnetic resonance imaging study combined with follow-up. J Affect Disord 2021; 279:324-333. [PMID: 33096331 DOI: 10.1016/j.jad.2020.09.133] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2020] [Revised: 09/16/2020] [Accepted: 09/28/2020] [Indexed: 01/10/2023]
Abstract
BACKGROUND Magnetic resonance imaging (MRI) could assist in identifying objective biomarkers and follow-up study could effectively improve subjective diagnostic accuracy. By combining MRI with follow-up, this study aims to determine the shared and distinct alterations between major depressive disorder (MDD) and bipolar disorder (BD). METHODS Untreated patients with MDD experiencing the first episode were subjected to MRI and subsequent follow-up. Fifteen patients with mania or hypomania were regrouped into BD group. Twenty patients were still grouped as MDD after an average of 37.95 months follow-up. Thirty healthy controls (HCs) were recruited to match the patients. Gray matter volume (GMV) and amygdala-seed functional connectivity (FC) in the whole brain were detected and compared among the three groups. RESULTS GMV analysis revealed that the MDD and BD groups presented reduced GMV predominantly in the parietal, occipital, and frontal regions in the bilateral cerebrum compared with the HCs. The BD group had reduced GMV predominantly in the parietal, temporal, insular regions and the Rolandic operculum in the right-side cerebrum compared with MDD and HC groups. FC analysis revealed that the MDD and BD patients displayed increased FC values mainly in the bilateral parietal, and left occipital regions. Only the BD group displayed increased FC values in the temporal, occipital, parietal and limbic regions in the right-side cerebrum relative to HCs. LIMITATIONS The main limitation is the relatively small sample size. CONCLUSIONS Alterations in the cortical regions and cortico-limbic neural system may provide the scientific basis for differential diagnosis in affective disorders.
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Affiliation(s)
- Xiaowei Jiang
- Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China; Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China; Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Xinrui Wang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Linna Jia
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Ting Sun
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Jiahui Kang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Yifang Zhou
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China; Department of Geriatric Medicine, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Shengnan Wei
- Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China; Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Feng Wu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Lingtao Kong
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China
| | - Fei Wang
- Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China; Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China; Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China.
| | - Yanqing Tang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China; Department of Geriatric Medicine, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, PR China.
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Hsieh YT, Wu R, Tseng HH, Wei SY, Huang MC, Chang HH, Yang YK, Chen PS. Childhood neglect is associated with corticostriatal circuit dysfunction in bipolar disorder adults. Psychiatry Res 2021; 295:113550. [PMID: 33223273 DOI: 10.1016/j.psychres.2020.113550] [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: 06/02/2020] [Accepted: 10/31/2020] [Indexed: 12/11/2022]
Abstract
Bipolar disorder (BD) is characterized with cognitive impairment, which may be mediated by corticostriatal dysfunction. Here we examined whether history of childhood trauma, a risk factor for BD, was linked to corticostriatal dysfunction in BD patients. Furthermore, the possible associations between childhood trauma and cognitive impairment were examined. Thirty-eight BD participants who met the DSM-IV diagnostic criteria were enrolled. Childhood trauma was identified via the Childhood Trauma Questionnaire (CTQ). Participants completed the Wisconsin Card-Sorting Test (WCST). Resting-state functional magnetic resonance imaging (rsfMRI) was performed in participants using a 3T scanner. Bilateral caudate to whole-brain functional connectivity (FC) were analyzed, and childhood trauma was entered as a regressor of interest when controlling for age. Results showed the level of physical neglect was negatively correlated with left-caudate-seed FC to the frontoparietal network, including the right supramarginal gyrus, left inferior parietal lobule, right middle frontal gyrus, and right superior parietal lobule. The level of physical neglect was also negatively correlated with WCST performance. And the left-caudate-seed FCs to the frontoparietal network were positively correlated with WCST performance. Unequivocally, the specific impacts of physical neglect on brain connectivity and executive function in the BD population merit further investigation.
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Affiliation(s)
- Yi-Ting Hsieh
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Rebecca Wu
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, Canada
| | - Huai-Hsuan Tseng
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Institute of Behavioral Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Shyh-Yuh Wei
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Ming-Chyi Huang
- Department of Psychiatry, Taipei City Hospital, Songde Branch, Taipei, Taiwan
| | - Hui Hua Chang
- Institute of Clinical Pharmacy and Pharmaceutical Sciences, National Cheng Kung University, Tainan, Taiwan; School of Pharmacy, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Pharmacy, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Pharmacy, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan
| | - Yen Kuang Yang
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Institute of Behavioral Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Tainan Hospital, Ministry of Health and Welfare, Tainan, Taiwan
| | - Po See Chen
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Institute of Behavioral Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan.
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Yamashita A, Sakai Y, Yamada T, Yahata N, Kunimatsu A, Okada N, Itahashi T, Hashimoto R, Mizuta H, Ichikawa N, Takamura M, Okada G, Yamagata H, Harada K, Matsuo K, Tanaka SC, Kawato M, Kasai K, Kato N, Takahashi H, Okamoto Y, Yamashita O, Imamizu H. Common Brain Networks Between Major Depressive-Disorder Diagnosis and Symptoms of Depression That Are Validated for Independent Cohorts. Front Psychiatry 2021; 12:667881. [PMID: 34177657 PMCID: PMC8224760 DOI: 10.3389/fpsyt.2021.667881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 05/12/2021] [Indexed: 12/02/2022] Open
Abstract
Large-scale neuroimaging data acquired and shared by multiple institutions are essential to advance neuroscientific understanding of pathophysiological mechanisms in psychiatric disorders, such as major depressive disorder (MDD). About 75% of studies that have applied machine learning technique to neuroimaging have been based on diagnoses by clinicians. However, an increasing number of studies have highlighted the difficulty in finding a clear association between existing clinical diagnostic categories and neurobiological abnormalities. Here, using resting-state functional magnetic resonance imaging, we determined and validated resting-state functional connectivity related to depression symptoms that were thought to be directly related to neurobiological abnormalities. We then compared the resting-state functional connectivity related to depression symptoms with that related to depression diagnosis that we recently identified. In particular, for the discovery dataset with 477 participants from 4 imaging sites, we removed site differences using our recently developed harmonization method and developed a brain network prediction model of depression symptoms (Beck Depression Inventory-II [BDI] score). The prediction model significantly predicted BDI score for an independent validation dataset with 439 participants from 4 different imaging sites. Finally, we found 3 common functional connections between those related to depression symptoms and those related to MDD diagnosis. These findings contribute to a deeper understanding of the neural circuitry of depressive symptoms in MDD, a hetero-symptomatic population, revealing the neural basis of MDD.
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Affiliation(s)
- Ayumu Yamashita
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto, Japan
| | - Yuki Sakai
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto, Japan
| | - Takashi Yamada
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto, Japan.,Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Noriaki Yahata
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto, Japan.,Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Quantum Life Informatics Group, Institute for Quantum Life Science, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan.,Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
| | - Akira Kunimatsu
- Department of Radiology, The Institute of Medical Science The University of Tokyo (IMSUT) Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.,Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Naohiro Okada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,The International Research Center for Neurointelligence (WPI-IRCN) at the University of Tokyo Institutes for Advanced Study (UTIAS), Tokyo, Japan
| | - Takashi Itahashi
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Ryuichiro Hashimoto
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto, Japan.,Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan.,Department of Language Sciences, Tokyo Metropolitan University, Tokyo, Japan
| | - Hiroto Mizuta
- Department of Psychiatry, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Naho Ichikawa
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
| | - Masahiro Takamura
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
| | - Go Okada
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
| | - Hirotaka Yamagata
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
| | - Kenichiro Harada
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
| | - Koji Matsuo
- Department of Psychiatry, Faculty of Medicine, Saitama Medical University, Saitama, Japan
| | - Saori C Tanaka
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto, Japan
| | - Mitsuo Kawato
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto, Japan.,Center for Advanced Intelligence Project, Institute of Physical and Chemical Research (RIKEN), Tokyo, Japan
| | - Kiyoto Kasai
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto, Japan.,Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,The International Research Center for Neurointelligence (WPI-IRCN) at the University of Tokyo Institutes for Advanced Study (UTIAS), Tokyo, Japan
| | - Nobumasa Kato
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto, Japan.,Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Hidehiko Takahashi
- Department of Psychiatry, Kyoto University Graduate School of Medicine, Kyoto, Japan.,Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yasumasa Okamoto
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
| | - Okito Yamashita
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto, Japan.,Center for Advanced Intelligence Project, Institute of Physical and Chemical Research (RIKEN), Tokyo, Japan
| | - Hiroshi Imamizu
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto, Japan.,Department of Psychology, Graduate School of Humanities and Sociology, The University of Tokyo, Tokyo, Japan
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Wang F, Hujjaree K, Wang X. Electroencephalographic Microstates in Schizophrenia and Bipolar Disorder. Front Psychiatry 2021; 12:638722. [PMID: 33716831 PMCID: PMC7952514 DOI: 10.3389/fpsyt.2021.638722] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 02/08/2021] [Indexed: 12/19/2022] Open
Abstract
Schizophrenia (SCH) and bipolar disorder (BD) are characterized by many types of symptoms, damaged cognitive function, and abnormal brain connections. The microstates are considered to be the cornerstones of the mental states shown in EEG data. In our study, we investigated the use of microstates as biomarkers to distinguish patients with bipolar disorder from those with schizophrenia by analyzing EEG data measured in an eyes-closed resting state. The purpose of this article is to provide an electron directional physiological explanation for the observed brain dysfunction of schizophrenia and bipolar disorder patients. Methods: We used microstate resting EEG data to explore group differences in the duration, coverage, occurrence, and transition probability of 4 microstate maps among 20 SCH patients, 26 BD patients, and 35 healthy controls (HCs). Results: Microstate analysis revealed 4 microstates (A-D) in global clustering across SCH patients, BD patients, and HCs. The samples were chosen to be matched. We found the greater presence of microstate B in BD patients, and the less presence of microstate class A and B, the greater presence of microstate class C, and less presence of D in SCH patients. Besides, a greater frequent switching between microstates A and B and between microstates B and A in BD patients than in SCH patients and HCs and less frequent switching between microstates C and D and between microstates D and C in BD patients compared with SCH patients. Conclusion: We found abnormal features of microstate A, B in BD patients and abnormal features of microstate A, B, C, and D in SCH patients. These features may indicate the potential abnormalities of SCH patients and BD patients in distributing neural resources and influencing opportune transitions between different states of activity.
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Affiliation(s)
- Fanglan Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Khamlesh Hujjaree
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiaoping Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
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40
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Yamashita A, Sakai Y, Yamada T, Yahata N, Kunimatsu A, Okada N, Itahashi T, Hashimoto R, Mizuta H, Ichikawa N, Takamura M, Okada G, Yamagata H, Harada K, Matsuo K, Tanaka SC, Kawato M, Kasai K, Kato N, Takahashi H, Okamoto Y, Yamashita O, Imamizu H. Generalizable brain network markers of major depressive disorder across multiple imaging sites. PLoS Biol 2020; 18:e3000966. [PMID: 33284797 PMCID: PMC7721148 DOI: 10.1371/journal.pbio.3000966] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 11/02/2020] [Indexed: 12/19/2022] Open
Abstract
Many studies have highlighted the difficulty inherent to the clinical application of fundamental neuroscience knowledge based on machine learning techniques. It is difficult to generalize machine learning brain markers to the data acquired from independent imaging sites, mainly due to large site differences in functional magnetic resonance imaging. We address the difficulty of finding a generalizable marker of major depressive disorder (MDD) that would distinguish patients from healthy controls based on resting-state functional connectivity patterns. For the discovery dataset with 713 participants from 4 imaging sites, we removed site differences using our recently developed harmonization method and developed a machine learning MDD classifier. The classifier achieved an approximately 70% generalization accuracy for an independent validation dataset with 521 participants from 5 different imaging sites. The successful generalization to a perfectly independent dataset acquired from multiple imaging sites is novel and ensures scientific reproducibility and clinical applicability.
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Affiliation(s)
- Ayumu Yamashita
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto, Japan
| | - Yuki Sakai
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto, Japan
| | - Takashi Yamada
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto, Japan
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Noriaki Yahata
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto, Japan
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Institute for Quantum Life Science, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
- Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
| | - Akira Kunimatsu
- Department of Radiology, IMSUT Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Naohiro Okada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- The International Research Center for Neurointelligence (WPI-IRCN) at the University of Tokyo Institutes for Advanced Study (UTIAS), Tokyo, Japan
| | - Takashi Itahashi
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Ryuichiro Hashimoto
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto, Japan
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
- Department of Language Sciences, Tokyo Metropolitan University, Tokyo, Japan
| | - Hiroto Mizuta
- Department of Psychiatry, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Naho Ichikawa
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
| | - Masahiro Takamura
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
| | - Go Okada
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
| | - Hirotaka Yamagata
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
| | - Kenichiro Harada
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
| | - Koji Matsuo
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
- Department of Psychiatry, Faculty of Medicine, Saitama Medical University, Saitama, Japan
| | - Saori C. Tanaka
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto, Japan
| | - Mitsuo Kawato
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto, Japan
- Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan
| | - Kiyoto Kasai
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto, Japan
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- The International Research Center for Neurointelligence (WPI-IRCN) at the University of Tokyo Institutes for Advanced Study (UTIAS), Tokyo, Japan
| | - Nobumasa Kato
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto, Japan
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Hidehiko Takahashi
- Department of Psychiatry, Kyoto University Graduate School of Medicine, Kyoto, Japan
- Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yasumasa Okamoto
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima, Japan
| | - Okito Yamashita
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto, Japan
- Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan
| | - Hiroshi Imamizu
- Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto, Japan
- Department of Psychology, Graduate School of Humanities and Sociology, The University of Tokyo, Tokyo, Japan
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41
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Lin X, Zhou RB, Huang J, Su YS, Mao RZ, Niu ZA, Cao L, Hu YY, Yang T, Wang X, Zhao GQ, Wang Y, Peng DH, Wu ZG, Wang ZW, Yuan CM, Chen J, Fang YR. Altered resting-state fMRI signals and network topological properties of bipolar depression patients with anxiety symptoms. J Affect Disord 2020; 277:358-367. [PMID: 32861836 DOI: 10.1016/j.jad.2020.08.007] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Revised: 06/13/2020] [Accepted: 08/09/2020] [Indexed: 01/01/2023]
Abstract
BACKGROUND This study aims to explore the changes in functional neuroimaging in bipolar depression patients with anxiety symptoms (BDP-A). METHODS Forty-five BDP-A patients, 22 bipolar depression patients without anxiety symptoms (BDP-NA), and 48 healthy controls (HC) were finally involved. The low-frequency oscillation characteristics, functional connectivity (FC), and network properties among the three groups of participants were analyzed. RESULTS Compared with the BDP-NA group, BDP-A patients exhibited significantly decreased amplitude of low-frequency fluctuation (ALFF) in the left middle frontal gyrus (MFG), superior occipital gyrus, and inferior parietal, but supramarginal and angular gyri (IPL). Enhanced FC from left IPL to middle temporal gyrus, from left precentral gyrus (PreCG) to bilateral angular gyri, medial superior frontal gyrus, and left superior frontal gyrus (SFG)/MFG were also revealed. Compared with HC, the BDP-A group showed remarkably increased ALFF in the left MFG/PreCG, right superior parietal gyrus, while decreased ALFF in the left inferior frontal gyrus, opercular part, and SFG. In addition, higher regional homogeneity in the left MFG/PreCG was found. LIMITATIONS The limitations are as follows: (1) relatively small sample size; (2) not all the patients were drug-naive; (3) lack of pure anxiety disorder patients as a controlled group; (4) mental health conditions of HC were not systemic evaluated. CONCLUSIONS BDP-A patients showed significant differences in resting-state fMRI properties when compared with BDP-NA or HC group. These results may infer the dysfunction of the dorsal attention network, the default network, and the fronto-limbic system as well as disrupted brain network efficiency in BDP-A patients.
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Affiliation(s)
- Xiao Lin
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Rd, Shanghai 200030, China
| | - Ru-Bai Zhou
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Rd, Shanghai 200030, China
| | - Jia Huang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Rd, Shanghai 200030, China
| | - You-Song Su
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Rd, Shanghai 200030, China
| | - Rui-Zhi Mao
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Rd, Shanghai 200030, China
| | - Zhi-Ang Niu
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Rd, Shanghai 200030, China
| | - Lan Cao
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Rd, Shanghai 200030, China
| | - Ying-Yan Hu
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Rd, Shanghai 200030, China
| | - Tao Yang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Rd, Shanghai 200030, China
| | - Xing Wang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Rd, Shanghai 200030, China
| | - Guo-Qing Zhao
- Department of Psychology, Provincial Hospital Affiliated to Shandong University, Jinan 250021,China
| | - Yong Wang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Rd, Shanghai 200030, China
| | - Dai-Hui Peng
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Rd, Shanghai 200030, China
| | - Zhi-Guo Wu
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Rd, Shanghai 200030, China
| | - Zuo-Wei Wang
- Shanghai Hongkou District Mental Health Center, Shanghai 200080, China
| | - Cheng-Mei Yuan
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Rd, Shanghai 200030, China
| | - Jun Chen
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Rd, Shanghai 200030, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai 200031, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai 201108, China; Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, China.
| | - Yi-Ru Fang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Rd, Shanghai 200030, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai 200031, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai 201108, China; Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, China.
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42
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Liu M, Wang Y, Zhang A, Yang C, Liu P, Wang J, Zhang K, Wang Y, Sun N. Altered dynamic functional connectivity across mood states in bipolar disorder. Brain Res 2020; 1750:147143. [PMID: 33068632 DOI: 10.1016/j.brainres.2020.147143] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 09/02/2020] [Accepted: 09/30/2020] [Indexed: 11/29/2022]
Abstract
BACKGROUND This study aims to identify how the large-scale brain dynamic functional connectivity (dFC) differs between mood states in bipolar disorder (BD). The authors analyzed dFC in subjects with BD in depressed and euthymic states using resting-state functional magnetic resonance imaging (rsfMRI) data, and compared these states to healthy controls (HCs). METHOD 20 subjects with BD in a depressive episode, 23 euthymic BD subjects, and 31 matched HCs underwent rsfMRI scans. Using an existing parcellation of the whole brain, we measured dFC between brain regions and identified the different patterns of brain network connections between groups. RESULTS In the analysis of whole brain dFC, the connectivity between the left Superior Temporal Gyrus (STG) in the somatomotor network (SMN), the right Middle Temporal Gyrus (MTG) in the default mode network (DMN) and the bilateral Postcentral Gyrus (PoG) in the DMN of depressed BD was greater than that of euthymic BD, while there was no significant difference between euthymic BD and HCs in these brain regions. Euthymic BD patients had abnormalities in the frontal-striatal-thalamic (FST) circuit compared to HCs. CONCLUSIONS Differences in dFC within and between DMN and SMN can be used to distinguish depressed and euthymic states in bipolar patients. The hyperconnectivity within and between DMN and SMN may be a state feature of depressed BD. The abnormal connectivity of the FST circuit can help identify euthymic BD from HCs.
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Affiliation(s)
- Min Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China; School of Humanities and Social Sciences, Shanxi Medical University, Taiyuan, China
| | - Yuchen Wang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China; School of Humanities and Social Sciences, Shanxi Medical University, Taiyuan, China
| | - Aixia Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Chunxia Yang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Penghong Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Junyan Wang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Kerang Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yanfang Wang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China.
| | - Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Mental Health, Shanxi Medical University, Taiyuan, China.
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43
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Chen P, Chen F, Chen G, Zhong S, Gong J, Zhong H, Ye T, Tang G, Wang J, Luo Z, Qi Z, Jia Y, Yang H, Yin Z, Huang L, Wang Y. Inflammation is associated with decreased functional connectivity of insula in unmedicated bipolar disorder. Brain Behav Immun 2020; 89:615-622. [PMID: 32688026 DOI: 10.1016/j.bbi.2020.07.004] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 06/17/2020] [Accepted: 07/08/2020] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Systemic inflammation and immune dysregulation have been considered as risk factors in the pathophysiology of mood disorders including bipolar disorder (BD). Previous neuroimaging studies have demonstrated metabolic, structural and functional abnormalities in the insula in BD, proposed that the insula played an important role in BD. We herein aimed to explore neural mechanisms underlying inflammation-induced in the insular subregions functional connectivity (FC) in patients with BD. METHODS Brain resting-state functional magnetic resonance imaging (rs-fMRI) data were acquired from 41 patients with unmedicated BD II (current episode depressed), 68 healthy controls (HCs). Three pairs of insular seed regions were selected: the bilateral anterior insula (AI), the bilateral middle insula (MI) and the bilateral posterior insula (PI), and calculated the whole-brain FC for each subregion. Additionally, the serum levels of pro-inflammatory cytokines in patients and HCs, including IL-6 and TNF-α, were detected. Then the partial correlation coefficients between the abnormal insular subregions FC values and pro-inflammatory cytokines levels in patients with BD II depression were calculated. RESULTS The BD II depression group exhibited decreased FC between the right PI and the left postcentral gyrus, and increased FC between the left AI and the bilateral insula (extended to the right putamen) when compared with the HC group. Moreover, the patients with BD II depression showed higher IL-6 and TNF-α levels than HCs, and IL-6 level was negatively correlated with FC of the right PI to the left postcentral gyrus. CONCLUSIONS Our results demonstrated that abnormal FC between the bilateral insula, and between the insula and sensorimotor areas in BD. Moreover, disrupted FC between the insula and sensorimotor areas was associated with elevated pro-inflammatory cytokine levels of IL-6 in BD.
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Affiliation(s)
- Pan Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Feng Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - JiaYing Gong
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China; Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, China
| | - Hui Zhong
- Biomedical Translational Research Institute, Jinan University, Guangzhou 510630, China
| | - Tao Ye
- Clinical Laboratory Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Guixian Tang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Jurong Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Zhenye Luo
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Zhangzhang Qi
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Hengwen Yang
- Biomedical Translational Research Institute, Jinan University, Guangzhou 510630, China; Zhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Jinan University, Zhuhai 519000, China
| | - Zhinan Yin
- Biomedical Translational Research Institute, Jinan University, Guangzhou 510630, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China.
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Zhang H, Palaniyappan L, Wu Y, Cong E, Wu C, Ding L, Jin F, Qiu M, Huang Y, Wu Y, Wang J, Ying S, Peng D. The concurrent disturbance of dynamic functional and structural brain connectome in major depressive disorder: the prefronto-insular pathway. J Affect Disord 2020; 274:1084-1090. [PMID: 32663936 DOI: 10.1016/j.jad.2020.05.148] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2020] [Revised: 05/17/2020] [Accepted: 05/22/2020] [Indexed: 01/30/2023]
Abstract
BACKGROUND Robust evidence has shown that abnormal function networks, particularly the salience network (SN), are observed in depressed patients. Although white matter structural connectivity may predict time-varying functional connectivity, including symptom phenotype, in psychiatric disorders, there is still a gap in elucidating the concurrent dynamic functional and structural connectivity profiles of the SN in depressed patients. METHODS We measured static and dynamic functional connectivity (FC) of the SN using resting-state fMRI BOLD time series in 76 subjects (21 with major depressive disorder (MDD), 27 with bipolar depression (BD), and 28 healthy controls (HC)). Hamilton Depression Scale total score was used to measure depression severity. Furthermore, we investigated the concurrent structural connectivity using diffusion kurtosis imaging (DKI)-based tractography. RESULTS Our findings suggested that in the presence of MDD, both structural and dynamic (but not static) FC were reduced in the SN, particularly affecting the left prefronto-insular pathways (L.aPFC-L.insula). MDD patients showed decreased connectivity variability within the SN compared with HC. The aberrant dynamic FC in the prefronto-insular pathways of the SN related to severity of depressive symptoms in MDD. Furthermore, compared with BD patients, those with MDD showed significantly decreased dynamic FC in the left prefronto-parietal system (L.aPFC-lateral parietal cortex). LIMITATIONS The generalizability of our findings is, to some extent, constrained by the small sample size. CONCLUSIONS The integrity of SN connectivity, particularly the prefronto-insular pathway, appears to be a crucial signature of MDD. The perturbed dynamic interaction of SN with prefrontal regions may underlie the clinical severity in depressed patients.
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Affiliation(s)
- Huifeng Zhang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lena Palaniyappan
- Robarts Research Institute and Department of Psychiatry, University of Western Ontario, London, ON, Canada; Lawson Health Research Institute, London, ON, Canada; Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai
| | - Yan Wu
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Enchao Cong
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chuangxin Wu
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Ding
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Feng Jin
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Meihui Qiu
- Department of Medical Psychology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University school of Medicine, Shanghai, China
| | - Yueqi Huang
- Department of Medical Psychology, Hangzhou Seventh People's Hospital, Hangzhou, China
| | - Ye Wu
- Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, NC, U.S.A
| | - Jinhong Wang
- Department of Medical Imaging, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shihui Ying
- Department of Mathematics, School of Science, Shanghai University, Shanghai, China.
| | - Daihui Peng
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Karim HT, Rosso A, Aizenstein HJ, Bohnen NI, Studenski S, Rosano C. Resting state connectivity within the basal ganglia and gait speed in older adults with cerebral small vessel disease and locomotor risk factors. Neuroimage Clin 2020; 28:102401. [PMID: 32932053 PMCID: PMC7495101 DOI: 10.1016/j.nicl.2020.102401] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 07/31/2020] [Accepted: 08/25/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND AND AIM The basal ganglia are critical for planned locomotion, but their role in age-related gait slowing is not well known. Spontaneous regional co-activation of brain activity at rest, known as resting state connectivity, is emerging as a biomarker of functional neural specialization of varying human processes, including gait. We hypothesized that greater connectivity amongst regions of the basal ganglia would be associated with faster gait speed in the elderly. We further investigated whether this association was similar in strength to that of other risk factors for gait slowing, specifically white matter hyperintensities (WMH). METHODS A cohort of 269 adults (79-90 years, 146 females, 164 White) were assessed for gait speed (m/sec) via stopwatch; brain activation during resting state functional magnetic resonance imaging, WMH, and gray matter volume (GMV) normalized by intracranial volume via 3T neuroimaging; and risk factors of poorer locomotion via clinical exams (body mass index (BMI), muscle strength, vision, musculoskeletal pain, cardiometabolic conditions, depressive symptoms, and cognitive function). To understand whether basal ganglia connectivity shows distinct clusters of connectivity, we conducted a k-means clustering analysis of regional co-activation among the substantia nigra, nucleus accumbens, subthalamic nucleus, putamen, pallidum, and caudate. We conducted two multivariable linear regression models: (1) with gait speed as the dependent variable and connectivity, demographics, WMH, GMV, and locomotor risk factors as independent variables and (2) with basal ganglia connectivity as the dependent variable and demographics, WMH, GMV, and locomotor risk factors as independent variables. RESULTS We identified two clusters of basal ganglia connectivity: high and low without a distinct spatial distribution allowing us to compute an average connectivity index of the entire basal ganglia regional connectivity (representing a continuous measure). Lower connectivity was associated with slower gait, independent of other locomotor risk factors, including WMH; the coefficient of this association was similar to those of other locomotor risk factors. Lower connectivity was significantly associated with lower BMI and greater WMH. CONCLUSIONS Lower resting state basal ganglia connectivity is associated with slower gait speed. Its contribution appears comparable to WMH and other locomotor risk factors. Future studies should assess whether promoting higher basal ganglia connectivity in older adults may reduce age-related gait slowing.
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Affiliation(s)
- H T Karim
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States.
| | - A Rosso
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, United States
| | - H J Aizenstein
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States
| | - N I Bohnen
- Departments of Radiology & Neurology, University of Michigan, Ann Arbor, MI, United States; Neurology Service & Geriatric Research Education and Clinical Center, VA Ann Arbor Healthcare System, Ann Arbor, MI, United States
| | - S Studenski
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - C Rosano
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, United States
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Validation of Chronic Restraint Stress Model in Young Adult Rats for the Study of Depression Using Longitudinal Multimodal MR Imaging. eNeuro 2020; 7:ENEURO.0113-20.2020. [PMID: 32669346 PMCID: PMC7396811 DOI: 10.1523/eneuro.0113-20.2020] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 06/15/2020] [Accepted: 07/03/2020] [Indexed: 12/25/2022] Open
Abstract
Prior research suggests that the neurobiological underpinnings of depression include aberrant brain functional connectivity, neurometabolite levels, and hippocampal volume. Chronic restraint stress (CRS) depression model in rats has been shown to elicit behavioral, gene expression, protein, functional connectivity, and hippocampal volume changes similar to those in human depression. However, no study to date has examined the association between behavioral changes and brain changes within the same animals. This study specifically addressed the correlation between the outcomes of behavioral tests and multiple 9.4 T magnetic resonance imaging (MRI) modalities in the CRS model using data collected longitudinally in the same animals. CRS involved placing young adult male Sprague Dawley rats in individual transparent tubes for 2.5 h daily over 13 d. Elevated plus maze (EPM) and forced swim tests (FSTs) confirmed the presence of anxiety-like and depression-like behaviors, respectively, postrestraint. Resting-state functional MRI (rs-fMRI) data revealed hypoconnectivity within the salience and interoceptive networks and hyperconnectivity of several brain regions to the cingulate cortex. Proton magnetic resonance spectroscopy revealed decreased sensorimotor cortical glutamate (Glu), glutamine (Gln), and combined Glu-Gln (Glx) levels. Volumetric analysis of T2-weighted images revealed decreased hippocampal volume. Importantly, these changes parallel those found in human depression, suggesting that the CRS rodent model has utility for translational studies and novel intervention development for depression.
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Wang Y, Gao Y, Tang S, Lu L, Zhang L, Bu X, Li H, Hu X, Hu X, Jiang P, Jia Z, Gong Q, Sweeney JA, Huang X. Large-scale network dysfunction in the acute state compared to the remitted state of bipolar disorder: A meta-analysis of resting-state functional connectivity. EBioMedicine 2020; 54:102742. [PMID: 32259712 PMCID: PMC7136605 DOI: 10.1016/j.ebiom.2020.102742] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 02/28/2020] [Accepted: 03/16/2020] [Indexed: 02/08/2023] Open
Abstract
Background Bipolar disorder (BD) is a mental disorder characterized by mood fluctuations between an acute episodic state of either mania or depression and a clinically remitted state. Dysfunction of large-scale intrinsic brain networks has been demonstrated in this disorder, but it remains unknown whether those network alterations are related to different states. Methods In the present study, we performed a meta-analysis of whole-brain seed-based resting-state functional connectivity (rsFC) studies in BD patients to compare the intrinsic function of brain networks between episodic and remitted states. Thirty-nine seed-based voxel-wise rsFC datasets from thirty publications (1047 BD patients vs 1081 controls) were included in the meta-analysis. Seeds were categorized into networks by their locations within a priori functional networks. Seed-based d mapping analysis of between-state effects identified brain systems in which different states were associated with increased connectivity or decreased connectivity within and between each seed network. Findings We found that BD patients presented decreased connectivity within the affective network (AN) in acute episodes but not in the remitted state of the illness. Similar decreased connectivity within the default-mode network (DMN) was also found in the acute state, but it was replaced by increased connectivity in the remitted state. In addition, different patterns of between-network dysconnectivity were observed between the acute and remitted states. Interpretation This study is the first to identify different patterns of intrinsic function in large-scale brain networks between the acute and remitted states of BD through meta-analysis. The findings suggest that a shift in network function between the acute and remitted states may be related to distinct emotional and cognitive dysfunctions in BD, which may have important implications for identifying clinically relevant biomarkers to guide alternative treatment strategies for BD patients during active episodes or remission. Funding This study was supported by grants from the National Natural Science Foundation of China (81171488, 81671669 and 81820108018) and by a Sichuan Provincial Youth Grant (2017JQ0001).
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Affiliation(s)
- Yanlin Wang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Yingxue Gao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Shi Tang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Lu Lu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Lianqing Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Xuan Bu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Hailong Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Xiaoxiao Hu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Xinyu Hu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Ping Jiang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Zhiyun Jia
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - John A Sweeney
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China; Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, United States
| | - Xiaoqi Huang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China.
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Hu L, Xiao M, Ai M, Wang W, Chen J, Tan Z, Cao J, Kuang L. Disruption of resting-state functional connectivity of right posterior insula in adolescents and young adults with major depressive disorder. J Affect Disord 2019; 257:23-30. [PMID: 31299401 DOI: 10.1016/j.jad.2019.06.057] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 06/24/2019] [Accepted: 06/30/2019] [Indexed: 12/27/2022]
Abstract
BACKGROUND The neural basis of Major Depressive Disorder (MDD) which is a clinical syndrome characterized by emotional and cognitive impairments is poorly understood. Accumulating evidence has suggested that the insula is an important substrate underlying the mechanism of MDD. This study aimed to examine the disrupted resting-state brain regional function in insula and to further investigate the associated resting-state functional connectivity (rs-FC) of insula underlie the MDD in adolescents and young adults. METHODS We employed 3.0T resting-state functional magnetic resonance imaging (rs-fMRI) to acquire data from 76 adolescents and young adults with MDD and 44 age and sex matched healthy control subjects. We employed a regional Amplitude of Low-Frequency Fluctuation (ALFF) analysis to explore local intrinsic neural oscillation alterations in insula and an ALFF-based functional connectivity (FC) approach to detect the potential changes in remote connectivity with insula in adolescents and young adults with MDD. RESULTS By applying ALFF analysis, significantly decreased activities were detected in bilateral insula, and in particular in right anterior insular gyrus (MNI; ROI1: 42, 24, -3), right posterior insular gyrus (Montreal Neurological Institute, MNI; ROI2: 36, -9, 15) and left anterior insular gyrus (MNI; ROI3: -36, 12, 9) in patients with MDD compared to the healthy controls (p < 0.05, 1000 permutations, TFCE corrected). With ROI2 as the seed in the subsequent ALFF-based rs-FC analysis, patients with MDD were observed to have significantly reduced FC with bilateral middle occipital gyrus, lingual gyrus, calcarine, postcentral gyrus, precentral gyrus, supramarginal area, superior temporal gyrus and middle cingulate gyrus as compared to the healthy controls (p < 0.05, 1000 permutations, TFCE corrected). No significant differences of FC were detected between the patients and healthy controls when using ROI1 and ROI3 as the seeds. We found no correlations between ALFF or rs-FC values and the severity of depression as estimated by Hamilton Depression Rating Scale (HAM-D). LIMITATIONS Clinical information were limited and no significant correlations were found between imaging variables and HAM-D scores, which reduces the power to interpret the present findings. A cross-sectional design was employed in this study so that it is not possible to know whether the abnormal ALFF or altered brain FC of insula reflects a state or trait effect in young people with MDD. CONCLUSIONS This study highlights the regional/network interaction abnormalities of insula in adolescents and young adults with MDD, and could provide further insight into understanding the neural pathomechanism of MDD in young patients.
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Affiliation(s)
- Lan Hu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing 400016, PR China
| | - Muni Xiao
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing 400016, PR China
| | - Ming Ai
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing 400016, PR China
| | - Wo Wang
- Mental Health Center, University-Town Hospital of Chongqing Medical University, No.55 Middle Road, University Town, Shapingba District, Chongqing 401331, PR China
| | - Jianmei Chen
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing 400016, PR China
| | - Zhaojun Tan
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing 400016, PR China
| | - Jun Cao
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing 400016, PR China
| | - Li Kuang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing 400016, PR China.
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49
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Grieve PG, Fifer WP, Cousy NP, Monk CE, Stark RI, Gingrich JA, Myers MM. Neonatal infant EEG bursts are altered by prenatal maternal depression and serotonin selective reuptake inhibitor use. Clin Neurophysiol 2019; 130:2019-2025. [PMID: 31539768 DOI: 10.1016/j.clinph.2019.08.021] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Revised: 08/03/2019] [Accepted: 08/24/2019] [Indexed: 12/23/2022]
Abstract
OBJECTIVE Increasingly, serotonin selective reuptake inhibitor (SSRI) medications are prescribed in pregnancy. These medications pass freely into the developing fetus but little is known about their effect on brain development in humans. In this study we determine if prenatal maternal depression and SSRI medication change the EEG infant delta brush bursts which are an early marker of normal brain maturation. METHODS We measured delta brush bursts from the term infants of three groups of mothers (controls (N = 52), depressed untreated (N = 15), and those taking serotonin SSRI medication (N = 10). High density EEGs were obtained during sleep at an average age of 44 weeks post conceptional age. We measured the rate of occurrence, brush amplitude, oscillation frequency and duration of the bursts. RESULTS Compared to infants of control mothers, the parameters of delta brush bursts of the offspring of depressed and SSRI-using mothers are significantly altered: burst amplitude is decreased; the oscillation frequency increased, and the duration increased (SSRI only). These significant differences were found during both sleep states. CONCLUSIONS Electrocortical bursting activity (i.e. delta brushes) is known to play an important role in early central nervous system (CNS) synaptic formation and function. SIGNIFICANCE Maternal depression or SSRI use may alter brain function in their offspring.
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Affiliation(s)
- P G Grieve
- Department of Pediatrics, Columbia University, New York, NY 10032, USA.
| | - W P Fifer
- New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY 10032, USA
| | - N P Cousy
- Cape Services, 22 rue Pierre Mendès, Torcy 77200, France
| | - C E Monk
- Department of Obstetrics and Gynecology, Columbia University, New York, NY 10032, USA
| | - R I Stark
- Department of Pediatrics, Columbia University, New York, NY 10032, USA
| | - J A Gingrich
- Columbia University Medical Center, Psychiatry, New York, NY 10032, USA
| | - M M Myers
- Columbia University Medical Center, Psychiatry, New York, NY 10032, USA
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50
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Damborská A, Piguet C, Aubry JM, Dayer AG, Michel CM, Berchio C. Altered Electroencephalographic Resting-State Large-Scale Brain Network Dynamics in Euthymic Bipolar Disorder Patients. Front Psychiatry 2019; 10:826. [PMID: 31803082 PMCID: PMC6873781 DOI: 10.3389/fpsyt.2019.00826] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Accepted: 10/18/2019] [Indexed: 01/22/2023] Open
Abstract
Background: Neuroimaging studies provided evidence for disrupted resting-state functional brain network activity in bipolar disorder (BD). Electroencephalographic (EEG) studies found altered temporal characteristics of functional EEG microstates during depressive episode within different affective disorders. Here we investigated whether euthymic patients with BD show deviant resting-state large-scale brain network dynamics as reflected by altered temporal characteristics of EEG microstates. Methods: We used high-density EEG to explore between-group differences in duration, coverage, and occurrence of the resting-state functional EEG microstates in 17 euthymic adults with BD in on-medication state and 17 age- and gender-matched healthy controls. Two types of anxiety, state and trait, were assessed separately with scores ranging from 20 to 80. Results: Microstate analysis revealed five microstates (A-E) in global clustering across all subjects. In patients compared to controls, we found increased occurrence and coverage of microstate A that did not significantly correlate with anxiety scores. Conclusion: Our results provide neurophysiological evidence for altered large-scale brain network dynamics in BD patients and suggest the increased presence of A microstate to be an electrophysiological trait characteristic of BD.
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Affiliation(s)
- Alena Damborská
- Functional Brain Mapping Laboratory, Campus Biotech, Department of Basic Neurosciences, University of Geneva, Geneva, Switzerland.,Department of Psychiatry, Faculty of Medicine, Masaryk University and University Hospital Brno, Brno, Czechia
| | - Camille Piguet
- Service of Psychiatric Specialties, Mood Disorders, Department of Psychiatry, Geneva University Hospital, Geneva, Switzerland
| | - Jean-Michel Aubry
- Service of Psychiatric Specialties, Mood Disorders, Department of Psychiatry, Geneva University Hospital, Geneva, Switzerland.,Department of Psychiatry, University of Geneva, Geneva, Switzerland
| | - Alexandre G Dayer
- Service of Psychiatric Specialties, Mood Disorders, Department of Psychiatry, Geneva University Hospital, Geneva, Switzerland.,Department of Psychiatry, University of Geneva, Geneva, Switzerland
| | - Christoph M Michel
- Functional Brain Mapping Laboratory, Campus Biotech, Department of Basic Neurosciences, University of Geneva, Geneva, Switzerland.,Lemanic Biomedical Imaging Centre (CIBM), Geneva, Switzerland
| | - Cristina Berchio
- Functional Brain Mapping Laboratory, Campus Biotech, Department of Basic Neurosciences, University of Geneva, Geneva, Switzerland.,Service of Psychiatric Specialties, Mood Disorders, Department of Psychiatry, Geneva University Hospital, Geneva, Switzerland
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