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Nan X, Li W, Wang L. Functional magnetic resonance imaging studies in bipolar disorder in resting state: A coordinates-based meta-analysis. Psychiatry Res Neuroimaging 2024; 344:111869. [PMID: 39146823 DOI: 10.1016/j.pscychresns.2024.111869] [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: 10/06/2023] [Revised: 07/20/2024] [Accepted: 08/06/2024] [Indexed: 08/17/2024]
Abstract
Exploring changes in the intrinsic activity of the brain in people with bipolar disorder (BD) is necessary. However, the findings have not yet led to consistent conclusions. In this regard, this paper aims to extract more obvious differential brain areas and neuroimaging markers, for the purpose of providing assistance for early clinical diagnosis and subsequent treatment. We conducted a meta-analysis of whole-brain resting-state functional magnetic resonance imaging (rs-fMRI) studies using seed-based d-mapping software that examined differences in amplitude of low-frequency fluctuations (ALFF), fractional amplitude of low-frequency fluctuations (fALFF), and regional homogeneity (ReHo) between patients with BD and healthy controls (HCs). Seed-based d-Mapping (formerly Signed Differential Mapping) with Permutation of Subject Images, or SDM-PSI, is a statistical technique for meta-analyzing studies of differences in brain activity or structure. A total of 16 articles involving 1112 individuals were included in this study for meta-analysis. This paper confidently analyzes the correlation between the clinical scales HAMD, HAMA, and YMRS, and the area of difference. We found significant changes that increased activation in the anterior connective and left lens nucleus, the nucleus of the shell, and BA 48 in BD patients compared with HC (P < 0.05, uncorrected), as well as a significant correlation between HAMD and the left superior frontal gyrus (after FWE correction P < 0.05). Therefore, basal ganglia and frontal cortex may have important significance in the pathogenesis and pathological basis of BD, making it an important issue to be attached importance to.
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Affiliation(s)
- Xia Nan
- Baiyin City Central Hospital, Baiyin, China
| | - Wenling Li
- The NO.2 People's Hospital of Lanzhou, Lanzhou, China
| | - Lin Wang
- Department of Radiology, Affiliated Hospital of Gansu University of Chinese Medicine, Lanzhou, China; Cancer Clinical Medical Research Center, Gansu combination of traditional Chinese and Western medicine, Lanzhou, China.
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2
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Merola GP, Tarchi L, Saccaro LF, Delavari F, Piguet C, Van De Ville D, Castellini G, Ricca V. Transdiagnostic markers across the psychosis continuum: a systematic review and meta-analysis of resting state fMRI studies. Front Psychiatry 2024; 15:1378439. [PMID: 38895037 PMCID: PMC11184053 DOI: 10.3389/fpsyt.2024.1378439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 04/26/2024] [Indexed: 06/21/2024] Open
Abstract
Psychotic symptoms are among the most debilitating and challenging presentations of severe psychiatric diseases, such as schizophrenia, schizoaffective, and bipolar disorder. A pathophysiological understanding of intrinsic brain activity underlying psychosis is crucial to improve diagnosis and treatment. While a potential continuum along the psychotic spectrum has been recently described in neuroimaging studies, especially for what concerns absolute and relative amplitude of low-frequency fluctuations (ALFF and fALFF), these efforts have given heterogeneous results. A transdiagnostic meta-analysis of ALFF/fALFF in patients with psychosis compared to healthy controls is currently lacking. Therefore, in this pre-registered systematic review and meta-analysis PubMed, Scopus, and Embase were searched for articles comparing ALFF/fALFF between psychotic patients and healthy controls. A quantitative synthesis of differences in (f)ALFF between patients along the psychotic spectrum and healthy controls was performed with Seed-based d Mapping, adjusting for age, sex, duration of illness, clinical severity. All results were corrected for multiple comparisons by Family-Wise Error rates. While lower ALFF and fALFF were detected in patients with psychosis in comparison to controls, no specific finding survived correction for multiple comparisons. Lack of this correction might explain the discordant findings highlighted in previous literature. Other potential explanations include methodological issues, such as the lack of standardization in pre-processing or analytical procedures among studies. Future research on ALFF/fALFF differences for patients with psychosis should prioritize the replicability of individual studies. Systematic review registration https://osf.io/, identifier (ycqpz).
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Affiliation(s)
| | - Livio Tarchi
- Psychiatry Unit, Department of Health Sciences, University of Florence, Florence, Italy
| | - Luigi F. Saccaro
- Psychiatry Department, Geneva University Hospital and Faculty of Medicine, Geneva University Hospital, Geneva, Switzerland
| | - Farnaz Delavari
- Neuro-X Institute, École Polytechnique Fédérale de Lausanne, Geneva, Switzerland
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland
| | - Camille Piguet
- Psychiatry Department, Geneva University Hospital and Faculty of Medicine, Geneva University Hospital, Geneva, Switzerland
- General Pediatric Division, Geneva University Hospital, Geneva, Switzerland
| | - Dimitri Van De Ville
- Neuro-X Institute, École Polytechnique Fédérale de Lausanne, Geneva, Switzerland
- Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland
| | - Giovanni Castellini
- Psychiatry Unit, Department of Health Sciences, University of Florence, Florence, Italy
| | - Valdo Ricca
- Psychiatry Unit, Department of Health Sciences, University of Florence, Florence, Italy
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Zhang L, Ding Y, Li T, Li H, Liu F, Li P, Zhao J, Lv D, Lang B, Guo W. Similar imaging changes and their relations to genetic profiles in bipolar disorder across different clinical stages. Psychiatry Res 2024; 335:115868. [PMID: 38554494 DOI: 10.1016/j.psychres.2024.115868] [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: 01/04/2024] [Revised: 03/12/2024] [Accepted: 03/20/2024] [Indexed: 04/01/2024]
Abstract
Bipolar disorder (BD) across different clinical stages may present shared and distinct changes in brain activity. We aimed to reveal the neuroimaging homogeneity and heterogeneity of BD and its relationship with clinical variables and genetic variations. In present study, we conducted fractional amplitude of low-frequency fluctuations (fALFF), functional connectivity (FC) and genetic neuroimaging association analyses with 32 depressed, 26 manic, 35 euthymic BD patients and 87 healthy controls (HCs). Significant differences were found in the bilateral pre/subgenual anterior cingulate cortex (ACC) across the four groups, and all bipolar patients exhibited decreased fALFF values in the ACC when compared to HCs. Furthermore, positive associations were significantly observed between fALFF values in the pre/subgenual ACC and participants' cognitive functioning. No significant changes were found in ACC-based FC. We identified fALFF-alteration-related genes in BD, with enrichment in biological progress including synaptic and ion transmission. Taken together, abnormal activity in ACC is a characteristic change associated with BD, regardless of specific mood stages, serving as a potential neuroimaging feature in BD patients. Our genetic neuroimaging association analysis highlights possible heterogeneity in biological processes that could be responsible for different clinical stages in BD.
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Affiliation(s)
- Leyi Zhang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Yudan Ding
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Tingting Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Ping Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang 161006, China
| | - Jingping Zhao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Dongsheng Lv
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China; Center of Mental Health, Inner Mongolia Autonomous Region, Hohhot 010010, China.
| | - Bing Lang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
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Liu J, Guo H, Yang J, Xiao Y, Cai A, Zhao T, Womer FY, Zhao P, Zheng J, Zhang X, Wang J, Zhu R, Wang F. Visual cortex repetitive transcranial magnetic stimulation (rTMS) reversing neurodevelopmental impairments in adolescents with major psychiatric disorders (MPDs): A cross-species translational study. CNS Neurosci Ther 2024; 30:e14427. [PMID: 37721197 PMCID: PMC10915985 DOI: 10.1111/cns.14427] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 07/21/2023] [Accepted: 08/04/2023] [Indexed: 09/19/2023] Open
Abstract
AIMS Neurodevelopmental impairments are closely linked to the basis of adolescent major psychiatric disorders (MPDs). The visual cortex can regulate neuroplasticity throughout the brain during critical periods of neurodevelopment, which may provide a promising target for neuromodulation therapy. This cross-species translational study examined the effects of visual cortex repetitive transcranial magnetic stimulation (rTMS) on neurodevelopmental impairments in MPDs. METHODS Visual cortex rTMS was performed in both adolescent methylazoxymethanol acetate (MAM) rats and patients with MPDs. Functional magnetic resonance imaging (fMRI) and brain tissue proteomic data in rats and fMRI and clinical symptom data in patients were analyzed. RESULTS The regional homogeneity (ReHo) analysis of fMRI data revealed an increase in the frontal cortex and a decrease in the posterior cortex in the MAM rats, representing the abnormal neurodevelopmental pattern in MPDs. In regard to the effects of rTMS, similar neuroimaging changes, particularly reduced frontal ReHo, were found both in MAM rats and adolescent patients, suggesting that rTMS may reverse the abnormal neurodevelopmental pattern. Proteomic analysis revealed that rTMS modulated frontal synapse-associated proteins, which may be the underpinnings of rTMS efficacy. Furthermore, a positive relationship was observed between frontal ReHo and clinical symptoms after rTMS in patients. CONCLUSION Visual cortex rTMS was proven to be an effective treatment for adolescent MPDs, and the underlying neural and molecular mechanisms were uncovered. Our study provides translational evidence for therapeutics targeting the neurodevelopmental factor in MPDs.
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Affiliation(s)
- Juan Liu
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain HospitalNanjing Medical UniversityNanjingJiangsuChina
- Functional Brain Imaging Institute of Nanjing Medical UniversityNanjingChina
| | - Huiling Guo
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain HospitalNanjing Medical UniversityNanjingJiangsuChina
- Functional Brain Imaging Institute of Nanjing Medical UniversityNanjingChina
- School of Biomedical Engineering and InformaticsNanjing Medical UniversityNanjingJiangsuChina
| | - Jingyu Yang
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain HospitalNanjing Medical UniversityNanjingJiangsuChina
- Functional Brain Imaging Institute of Nanjing Medical UniversityNanjingChina
| | - Yao Xiao
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain HospitalNanjing Medical UniversityNanjingJiangsuChina
- Functional Brain Imaging Institute of Nanjing Medical UniversityNanjingChina
| | - Aoling Cai
- School of Biomedical Engineering and InformaticsNanjing Medical UniversityNanjingJiangsuChina
- Changzhou Second People's Hospital, Changzhou Medical CenterNanjing Medical UniversityChangzhouJiangsuChina
| | - Tongtong Zhao
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain HospitalNanjing Medical UniversityNanjingJiangsuChina
- Functional Brain Imaging Institute of Nanjing Medical UniversityNanjingChina
| | - Fay Y. Womer
- Department of Psychiatry and Behavioral SciencesVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Pengfei Zhao
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain HospitalNanjing Medical UniversityNanjingJiangsuChina
- Functional Brain Imaging Institute of Nanjing Medical UniversityNanjingChina
| | - Junjie Zheng
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain HospitalNanjing Medical UniversityNanjingJiangsuChina
- Functional Brain Imaging Institute of Nanjing Medical UniversityNanjingChina
| | - Xizhe Zhang
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain HospitalNanjing Medical UniversityNanjingJiangsuChina
- School of Biomedical Engineering and InformaticsNanjing Medical UniversityNanjingJiangsuChina
| | - Jie Wang
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and TechnologyChinese Academy of Sciences‐Wuhan National Laboratory for OptoelectronicsWuhanChina
- University of Chinese Academy of SciencesBeijingChina
| | - Rongxin Zhu
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain HospitalNanjing Medical UniversityNanjingJiangsuChina
- Functional Brain Imaging Institute of Nanjing Medical UniversityNanjingChina
| | - Fei Wang
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain HospitalNanjing Medical UniversityNanjingJiangsuChina
- Functional Brain Imaging Institute of Nanjing Medical UniversityNanjingChina
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Huang S, Wen X, Liu Z, Li C, He Y, Liang J, Huang W. Distinguishing functional and structural MRI abnormalities between bipolar and unipolar depression. Front Psychiatry 2023; 14:1343195. [PMID: 38169701 PMCID: PMC10758430 DOI: 10.3389/fpsyt.2023.1343195] [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: 11/23/2023] [Accepted: 12/05/2023] [Indexed: 01/05/2024] Open
Abstract
Background This study aims to investigate the underlying characteristics of spontaneous brain activity by analyzing the volumes of the hippocampus and parahippocampal gyrus, as well as the fractional amplitude of low-frequency fluctuation (fALFF) and regional homogeneity (ReHo), in order to differentiate between bipolar disorder (BD) and unipolar depressive disorder. Methods A total of 46 healthy controls, 58 patients with major depressive disorder (MDD), and 61 patients with BD participated in the study and underwent resting-state functional magnetic resonance imaging (rs-fMRI) scans. The researchers calculated the differences in volume, fALFF, and ReHo values among the three groups. Additionally, they conducted correlation analyses to examine the relationships between clinical variables and the aforementioned brain measures. Results The results showed that the BD group exhibited increased fALFF in the hippocampus compared to the healthy control (HC) and MDD groups. Furthermore, the ReHo values in the hippocampus and parahippocampal gyrus were significantly higher in the BD group compared to the HC group. The findings from the person correlation analysis indicated a positive relationship between ReHo values in the hippocampus and both HAMD and HAMA scores. Moreover, there was no correlation between the volumes, fALFF, and ReHo values in the hippocampus and parahippocampal gyrus, and cognitive function levels (RBANS). Conclusion Taken together, these aberrant patterns of intrinsic brain activity in the hippocampus and parahippocampal gyrus may serve as quantitative indicators for distinguishing between BD and unipolar depression.
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Affiliation(s)
| | | | | | | | | | - Jiaquan Liang
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
| | - Wei Huang
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, Guangdong, China
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Tai APL, Leung MK, Geng X, Lau WKW. Conceptualizing psychological resilience through resting-state functional MRI in a mentally healthy population: a systematic review. Front Behav Neurosci 2023; 17:1175064. [PMID: 37538200 PMCID: PMC10394620 DOI: 10.3389/fnbeh.2023.1175064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 07/03/2023] [Indexed: 08/05/2023] Open
Abstract
Conceptualizations and operational definitions of psychological resilience vary across resilience neuroimaging studies. Data on the neural features of resilience among healthy individuals has been scarce. Furthermore, findings from resting-state functional magnetic resonance imaging (fMRI) studies were inconsistent across studies. This systematic review summarized resting-state fMRI findings in different modalities from various operationally defined resilience in a mentally healthy population. The PubMed and MEDLINE databases were searched. Articles that focused on resting-state fMRI in relation to resilience, and published before 2022, were targeted. Orbitofrontal cortex, anterior cingulate cortex, insula and amygdala, were reported the most from the 19 included studies. Regions in emotional network was reported the most from the included studies. The involvement of regions like amygdala and orbitofrontal cortex indicated the relationships between emotional processing and resilience. No common brain regions or neural pathways were identified across studies. The emotional network appears to be studied the most in association with resilience. Matching fMRI modalities and operational definitions of resilience across studies are essential for meta-analysis.
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Affiliation(s)
- Alan P. L. Tai
- Department of Special Education and Counselling, The Education University of Hong Kong, Hong Kong, Hong Kong SAR, China
- Integrated Centre for Wellbeing, The Education University of Hong Kong, Hong Kong, Hong Kong SAR, China
- Bioanalytical Laboratory for Educational Sciences, The Education University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Mei-Kei Leung
- Department of Counselling and Psychology, Hong Kong Shue Yan University, Hong Kong, Hong Kong SAR, China
| | - Xiujuan Geng
- Brain and Mind Institute, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Way K. W. Lau
- Department of Health Sciences, The Hong Kong Metropolitan University, Hong Kong, Hong Kong SAR, China
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Xue C, Zhang X, Cao P, Yuan Q, Liang X, Zhang D, Qi W, Hu J, Xiao C. Evidence of functional abnormalities in the default mode network in bipolar depression: A coordinate-based activation likelihood estimation meta-analysis. J Affect Disord 2023; 326:96-104. [PMID: 36717032 DOI: 10.1016/j.jad.2023.01.088] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 01/15/2023] [Accepted: 01/25/2023] [Indexed: 01/30/2023]
Abstract
BACKGROUND The default mode network (DMN) is thought to be involved in the pathophysiology of bipolar depression (BD). However, the findings of prior studies on DMN alterations in BD are inconsistent. Thus, this study aimed to systematically investigate functional abnormalities of the DMN in BD patients. METHODS We systematically searched PubMed, Ovid, and Web of Science for functional neuroimaging studies on regional homogeneity, amplitude of low frequency fluctuations (ALFF), and functional connectivity of the DMN in BD patients published before March 18, 2022. The stereotactic coordinates of the reported altered brain regions were extracted and incorporated into a brain map using the coordinate-based activation likelihood estimation approach. RESULTS A total of 43 original research studies were included in the meta-analysis. BD patients showed specific changes in the DMN including decreased ALFF/fractional ALFF in the left cingulate gyrus (CG) and bilateral precuneus (PCUN); increased functional connectivity (FC) in the left CG, left posterior CG, left PCUN, bilateral medial frontal gyrus, and bilateral superior frontal gyrus; and decreased FC in the left CG, left PCUN, left inferior parietal lobule, and left postcentral gyrus. LIMITATIONS Conclusions are limited by the small number of studies, additional meta-analyses are needed to obtain more data in BD subgroup. CONCLUSION This meta-analysis supports specific changes in DMN activity and FC in BD patients, which may be powerful biomarkers for the diagnosis of BD. The CG and PCUN were the most affected regions and are thus potential targets for clinical interventions to delay BD progression.
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Affiliation(s)
- Chen Xue
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Xulian Zhang
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Ping Cao
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Qianqian Yuan
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Xuhong Liang
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Da Zhang
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Wenzhang Qi
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Jun Hu
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China.
| | - Chaoyong Xiao
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China.
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Abstract
Pride is a self-conscious emotion, comprised of two distinct facets known as authentic and hubristic pride, and associated with a cross-culturally recognized nonverbal expression. Authentic pride involves feelings of accomplishment and confidence and promotes prosocial behaviors, whereas hubristic pride involves feelings of arrogance and conceit and promotes antisociality. Each facet of pride, we argue, contributes to a distinct means of attaining social rank: Authentic pride seems to promote prestige-a rank based on earned respect-whereas hubristic pride seems to promote dominance-a rank based on aggression and coercion. Both prestige and dominance are effective routes to power and influence in human groups, so both facets of pride are likely to be functional adaptations. Overall, the reviewed research suggests that pride is likely to be a human universal, critical for social relationships and rank attainment across human societies.
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Affiliation(s)
- Jessica L Tracy
- Department of Psychology, University of British Columbia, Vancouver, British Columbia, Canada;
| | - Eric Mercadante
- Department of Psychology, University of British Columbia, Vancouver, British Columbia, Canada;
| | - Ian Hohm
- Department of Psychology, University of British Columbia, Vancouver, British Columbia, Canada;
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Chen G, Wang J, Gong J, Qi Z, Fu S, Tang G, Chen P, Huang L, Wang Y. Functional and structural brain differences in bipolar disorder: a multimodal meta-analysis of neuroimaging studies. Psychol Med 2022; 52:2861-2873. [PMID: 36093787 DOI: 10.1017/s0033291722002392] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
BACKGROUND Numerous studies of resting-state functional imaging and voxel-based morphometry (VBM) have revealed differences in specific brain regions of patients with bipolar disorder (BD), but the results have been inconsistent. METHODS A whole-brain voxel-wise meta-analysis was conducted on resting-state functional imaging and VBM studies that compared differences between patients with BD and healthy controls using Seed-based d Mapping with Permutation of Subject Images software. RESULTS A systematic literature search identified 51 functional imaging studies (1842 BD and 2190 controls) and 83 VBM studies (2790 BD and 3690 controls). Overall, patients with BD displayed increased resting-state functional activity in the left middle frontal gyrus, right inferior frontal gyrus (IFG) extending to the right insula, right superior frontal gyrus and bilateral striatum, as well as decreased resting-state functional activity in the left middle temporal gyrus extending to the left superior temporal gyrus and post-central gyrus, left cerebellum, and bilateral precuneus. The meta-analysis of VBM showed that patients with BD displayed decreased VBM in the right IFG extending to the right insula, temporal pole and superior temporal gyrus, left superior temporal gyrus extending to the left insula, temporal pole, and IFG, anterior cingulate cortex, left superior frontal gyrus (medial prefrontal cortex), left thalamus, and right fusiform gyrus. CONCLUSIONS The multimodal meta-analyses suggested that BD showed similar patterns of aberrant brain activity and structure in the insula extending to the temporal cortex, fronto-striatal-thalamic, and default-mode network regions, which provide useful insights for understanding the underlying pathophysiology of BD.
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Affiliation(s)
- 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
| | - Junjing Wang
- Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, 510006, China
| | - Jiaying Gong
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
- Department of Radiology, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, 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
| | - Siying Fu
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
- Institute of Molecular and Functional Imaging, 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
| | - 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
| | - 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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Shao J, Zhang Y, Xue L, Wang X, Wang H, Zhu R, Yao Z, Lu Q. Shared and disease-sensitive dysfunction across bipolar and unipolar disorder during depressive episodes: a transdiagnostic study. Neuropsychopharmacology 2022; 47:1922-1930. [PMID: 35177806 PMCID: PMC9485137 DOI: 10.1038/s41386-022-01290-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 01/21/2022] [Accepted: 01/28/2022] [Indexed: 02/05/2023]
Abstract
Patients with depressive episodes (PDE), such as unipolar disorder (UD) and bipolar disorder (BD), are often defined as distinct diagnostic categories, but increasing converging evidence indicated shared etiologies and pathophysiological characteristics across different clinical diagnoses. We explored whether these transdiagnostic deficits are caused by the common neural substrates across diseases or disease-sensitive mechanisms, or a combination of both. In this study, we utilized a Bayesian model to decompose the resting-state brain activity into multiple hyper- and hypo-activity patterns (refer to as "factors"), so as to explore the shared and disease-sensitive alteration patterns in PDE. The model was constructed over a total of 259 patients (131 UD and 128 BD) with 100 healthy controls as the reference. The other 32 initial depressive episode BD (IDE-BD) patients who had symptoms of mania or hypomania during follow-up were taken as an independent set to estimate the factor composition using the established model for further analysis. We revealed three transdiagnostic alteration factors in PDE. Based on the distribution of factors and the tendency of factor composition at the group level, these factors were defined as BD sensitive factor, UD sensitive factor and shared basic alteration factor. We further found that the factor composition and the ROIs-based alteration degree (mainly involving in orbitofrontal gyrus and part of parietal lobe) were associated with the bipolar index in IDE-BD patients. Our findings contributed to understanding the core transdiagnostic shared and disease-sensitive alterations in PDE and to predicting the risk of emotional state transition in IDE-BD patients.
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Affiliation(s)
- Junneng Shao
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China
- Key Laboratory of Child Development and Learning Science (Southeast University), Ministry of Education, Nanjing, China
| | - Yujie Zhang
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China
- Key Laboratory of Child Development and Learning Science (Southeast University), Ministry of Education, Nanjing, China
| | - Li Xue
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China
- Key Laboratory of Child Development and Learning Science (Southeast University), Ministry of Education, Nanjing, China
| | - Xinyi Wang
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China
- Key Laboratory of Child Development and Learning Science (Southeast University), Ministry of Education, Nanjing, China
| | - Huan Wang
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China
- Key Laboratory of Child Development and Learning Science (Southeast University), Ministry of Education, Nanjing, China
| | - Rongxin Zhu
- Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Zhijian Yao
- Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
- Nanjing Brain Hospital, Medical School of Nanjing University, Nanjing, 210093, China.
| | - Qing Lu
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China.
- Key Laboratory of Child Development and Learning Science (Southeast University), Ministry of Education, Nanjing, China.
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11
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Altered dynamic amplitude of low-frequency fluctuation between bipolar type I and type II in the depressive state. Neuroimage Clin 2022; 36:103184. [PMID: 36095891 PMCID: PMC9472068 DOI: 10.1016/j.nicl.2022.103184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 08/30/2022] [Accepted: 09/02/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Bipolar disorder is a chronic and highly recurrent mental disorder that can be classified as bipolar type I (BD I) and bipolar type II (BD II). BD II is sometimes taken as a milder form of BD I or even doubted as an independent subtype. However, the fact that symptoms and severity differ in patients with BD I and BD II suggests different pathophysiologies and underlying neurobiological mechanisms. In this study, we aimed to explore the shared and unique functional abnormalities between subtypes. METHODS The dynamic amplitude of low-frequency fluctuation (dALFF) was performed to compare 31 patients with BD I, 32 with BD II, and 79 healthy controls (HCs). Global dALFF was calculated using sliding-window analysis. Group differences in dALFF among the 3 groups were compared using analysis of covariance (ANCOVA), with covariates of age, sex, years of education, and mean FD, and Bonferroni correction was applied for post hoc analysis. Pearson and Spearman's correlations were conducted between clusters with significant differences and clinical features in the BD I and BD II groups, after which false error rate (FDR) was used for correction. RESULTS We found a significant decrease in dALFF values in BD patients compared with HCs in the following brain regions: the bilateral-side inferior frontal gyrus (including the triangular, orbital, and opercular parts), inferior temporal gyrus, the medial part of the superior frontal gyrus, middle frontal gyrus, anterior cingulum, insula gyrus, lingual gyrus, calcarine gyrus, precuneus gyrus, cuneus gyrus, left-side precentral gyrus, postcentral gyrus, inferior parietal gyrus, superior temporal pole gyrus, middle temporal gyrus, middle occipital gyrus, superior occipital gyrus and right-side fusiform gyrus, parahippocampal gyrus, hippocampus, middle cingulum, orbital part of the medial frontal gyrus and superior frontal gyrus. Unique alterations in BD I were observed in the right-side supramarginal gyrus and postcentral gyrus. In addition, dALFF values in BD II were significantly higher than those in BD I in the right superior temporal gyrus and middle temporal gyrus. The variables of dALFF correlated with clinical characteristics differently according to the subtypes, but no correlations survived after FDR correction. LIMITATIONS Our study was cross-sectional. Most of our patients were on medication, and the sample was limited. CONCLUSIONS Our findings demonstrated neurobiological characteristics of BD subtypes, providing evidence for BD II as an independent existence, which could be the underlying explanation for the specific symptoms and/or severity and point to potential biomarkers for the differential diagnosis of bipolar subtypes.
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Dvořáková L, Stenroos P, Paasonen E, Salo RA, Paasonen J, Gröhn O. Light sedation with short habituation time for large-scale functional magnetic resonance imaging studies in rats. NMR IN BIOMEDICINE 2022; 35:e4679. [PMID: 34961988 PMCID: PMC9285600 DOI: 10.1002/nbm.4679] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 12/14/2021] [Accepted: 12/15/2021] [Indexed: 06/14/2023]
Abstract
Traditionally, preclinical resting state functional magnetic resonance imaging (fMRI) studies have been performed in anesthetized animals. Nevertheless, as anesthesia affects the functional connectivity (FC) in the brain, there has been a growing interest in imaging in the awake state. Obviously, awake imaging requires resource- and time-consuming habituation prior to data acquisition to reduce the stress and motion of the animals. Light sedation has been a less widely exploited alternative for awake imaging, requiring shorter habituation times, while still reducing the effect of anesthesia. Here, we imaged 102 rats under light sedation and 10 awake animals to conduct an FC analysis. We established an automated data-processing pipeline suitable for both groups. Additionally, the same pipeline was used on data obtained from an openly available awake rat database (289 measurements in 90 rats). The FC pattern in the light sedation measurements closely resembled the corresponding patterns in both onsite and offsite awake datasets. However, fewer datasets had to be excluded due to movement in rats with light sedation. The temporal analysis of FC in the lightly sedated group indicated a lingering effect of anesthesia that stabilized after the first 5 min. In summary, our results indicate that the light sedation protocol is a valid alternative for large-scale studies where awake protocols may become prohibitively resource-demanding, as it provides similar results to awake imaging, preserves more scans, and requires shorter habituation times. The large amount of fMRI data obtained in this work are openly available for further analyses.
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Affiliation(s)
- Lenka Dvořáková
- A. I. V. Institute for Molecular SciencesUniversity of Eastern FinlandKuopioFinland
| | - Petteri Stenroos
- A. I. V. Institute for Molecular SciencesUniversity of Eastern FinlandKuopioFinland
- Grenoble Institut des NeurosciencesUniversité Grenoble AlpesGrenobleFrance
| | - Ekaterina Paasonen
- A. I. V. Institute for Molecular SciencesUniversity of Eastern FinlandKuopioFinland
| | - Raimo A. Salo
- A. I. V. Institute for Molecular SciencesUniversity of Eastern FinlandKuopioFinland
| | - Jaakko Paasonen
- A. I. V. Institute for Molecular SciencesUniversity of Eastern FinlandKuopioFinland
| | - Olli Gröhn
- A. I. V. Institute for Molecular SciencesUniversity of Eastern FinlandKuopioFinland
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Zhang L, Zhang R, Han S, Womer FY, Wei Y, Duan J, Chang M, Li C, Feng R, Liu J, Zhao P, Jiang X, Wei S, Yin Z, Zhang Y, Zhang Y, Zhang X, Tang Y, Wang F. Three major psychiatric disorders share specific dynamic alterations of intrinsic brain activity. Schizophr Res 2022; 243:322-329. [PMID: 34244046 DOI: 10.1016/j.schres.2021.06.014] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Revised: 05/21/2021] [Accepted: 06/18/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND Increasing evidence suggests that major psychiatric disorders, including major depressive disorder (MDD), bipolar disorder (BD) and schizophrenia (SZ) share biological, neuropsychological and clinical features, despite the criteria for their respective diagnoses being different. Neuroimaging studies have shown disrupted 'static' neural connectivity in these disorders. However, the changes in brain dynamics across the three psychiatric disorders remain unknown. METHODS We aim to examine the connections and divergencies of the dynamic amplitude of low-frequency fluctuation (dALFF) in MDD, BD and SZ. In total, 901 participants [MDD, 229; BD, 146; SZ, 142; and healthy controls (HCs), 384] received resting-state functional magnetic resonance imaging. The dALFF was calculated using sliding-window analysis and compared across three psychiatric disorders. RESULTS We found significant increases of dALFF in the right fusiform, right hippocampus, right parahippocampal in participants with MDD, BD and SZ compared to HC. We also found specific increased dALFF changes in caudate and left thalamus for SZ and BD and decreased dALFF changes in calcarine and lingual for SZ and MDD. CONCLUSION Our study found significant intrinsic brain activity changes in the limbic system and primary visual area in MDD, BD, and SZ, which indicates these areas disruptions are core neurobiological features shared among three psychiatric disorders. Meanwhile, our findings also indicate that specific alterations in MDD, BD, and SZ provide neuroimaging evidence for the differential diagnosis of the three mental disorders.
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Affiliation(s)
- Luheng Zhang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China
| | - Ran Zhang
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, PR China
| | - Shaoqiang Han
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, PR China
| | - Fay Y Womer
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Yange Wei
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, PR China
| | - Jia Duan
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China
| | - Miao Chang
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China
| | - Chao Li
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China
| | - Ruiqi Feng
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China
| | - Juan Liu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China
| | - Pengfei Zhao
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China
| | - Xiaowei Jiang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China
| | - Shengnan Wei
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China
| | - Zhiyang Yin
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China
| | - Yifan Zhang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China
| | - Yanbo Zhang
- Department of Psychiatry, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada
| | - Xizhe Zhang
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, PR China; School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu, PR China.
| | - Yanqing Tang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China.
| | - Fei Wang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China; Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu, PR China.
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14
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Cui L, Li H, Li JB, Zeng H, Zhang Y, Deng W, Zhou W, Cao L. Altered cerebellar gray matter and cerebellar-cortex resting-state functional connectivity in patients with bipolar disorder Ⅰ. J Affect Disord 2022; 302:50-57. [PMID: 35074460 DOI: 10.1016/j.jad.2022.01.073] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 01/16/2022] [Accepted: 01/18/2022] [Indexed: 01/10/2023]
Abstract
BACKGROUND Bipolar disorder (BP) is a common psychiatric disorder characterized by extreme fluctuations in mood. Recent studies have indicated the involvement of cerebellum in the pathogenesis of BP. However, no study has focused on the precise role of cerebellum exclusively in patients with bipolar I disorder (BP-I). METHODS Forty-five patients with BP-I and 40 healthy controls were recruited. All subjects underwent clinical evaluation and Magnetic Resonance diffusion Tension Imaging scans. For structural images, we used a spatially unbiased infratentorial template toolbox to isolate the cerebellum and then preformed voxel-based morphometry (VBM) analyses to assess the difference in cerebellar gray matter volume (GMV) between the two groups. For the functional images, we chose the clusters that survived from VBM analysis as seeds and performed functional connectivity (FC) analysis. Between-group differences were assessed using the independent Students t test or the nonparametric Mann-Whitney U Test. For multiple comparisons, the results were further corrected with Gaussian random field (GRF) approach (voxel-level P < 0.001, cluster-level P < 0.05). RESULTS Compared with healthy controls, BP-I patients showed significantly decreased GMV in left lobule V and left lobule VI (P < 0.05, GRF corrected). The FC of cerebellum with bilateral superior temporal gyrus, bilateral insula, bilateral rolandic operculum, right putamen, and left precentral gyrus was disrupted in BP-I patients (P < 0.05, GRF corrected). CONCLUSIONS BP-I patients showed decreased cerebellar GMV and disrupted cerebellar-cortex resting-state FC. This suggests that cerebellar abnormalities may play an important role in the pathogenesis of BP-I.
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Affiliation(s)
- Liqian Cui
- Department of Neurology, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, No.58 Zhongshan Road 2, Guangzhou 510080, China.
| | - Hao Li
- Department of Neurology, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, No.58 Zhongshan Road 2, Guangzhou 510080, China
| | - Jin Biao Li
- Department of Neurology, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, No.58 Zhongshan Road 2, Guangzhou 510080, China
| | - Huixing Zeng
- Department of Neurology, Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital, Sun Yat-sen University, No.58 Zhongshan Road 2, Guangzhou 510080, China
| | - Yizhi Zhang
- Guangzhou Huiai, Hospital, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510370, China
| | - Wenhao Deng
- Guangzhou Huiai, Hospital, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510370, China
| | - Wenjin Zhou
- Guangzhou Huiai, Hospital, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510370, China
| | - Liping Cao
- Guangzhou Huiai, Hospital, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510370, China.
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Soto-Vega JG, Valencia JG, Vargas C, López-Jaramillo C. Resting-state functional nuclear magnetic resonance imaging in patients with bipolar disorder: Beyond euthymia. REVISTA COLOMBIANA DE PSIQUIATRIA (ENGLISH ED.) 2022; 51:153-157. [PMID: 35778347 DOI: 10.1016/j.rcpeng.2022.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 10/05/2020] [Indexed: 06/15/2023]
Abstract
INTRODUCTION Functional nuclear magnetic resonance imaging in the resting state (R-fMRI) allows the identification of complete functional connectivity networks and the possible neuronal correlations of psychiatric disorders. The literature on R-fMRI and bipolar disorder (BD) will be reviewed, emphasising the findings in the phases of mania, hypomania and depression. METHODS It is a narrative review of the literature in which articles were searched in PubMed and Embase, with the key words in English "bipolar disorder" AND "resting state", without limit on the date of publication. RESULTS The studies of BD patients in the mania and hypomania phases who underwent R-fMRI show concordant results in terms of decreased functional cerebral connectivity between the amygdala and some cortical regions, which indicates that this functional connection would have some implication in the normal affect regulation. Patients in the depressive phase show a decrease in functional brain connectivity, but as there are several anatomical structures involved and neural networks reported in the studies, it is not possible to compare them. CONCLUSIONS There is a decrease in functional connectivity in patients with BD, but current evidence does not allow establishing specific changes in specific functional brain connectivity networks. However, there are already some findings that show correlation with the patients' symptoms.
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Affiliation(s)
| | - Jenny García Valencia
- Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Cristian Vargas
- Grupo de Investigación en Psiquiatría GIPSI, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia.
| | - Carlos López-Jaramillo
- Grupo de Investigación en Psiquiatría GIPSI, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
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16
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Li Y, Li C, Jiang L. Well-Being Is Associated With Local to Remote Cortical Connectivity. Front Behav Neurosci 2022; 16:737121. [PMID: 35368310 PMCID: PMC8967134 DOI: 10.3389/fnbeh.2022.737121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 02/07/2022] [Indexed: 11/13/2022] Open
Abstract
Wellbeing refers to cognitive and emotional appraisal of an individual’s life and social functioning, which is of great significance to the quality of life of an individual and society. Previous studies have revealed the neural basis of wellbeing, which mostly focused on human brain morphology or network-level connectivity. However, local-to-remote cortical connectivity, which plays a crucial role in defining the human brain architecture, has not been investigated in wellbeing. To examine whether wellbeing was associated with local-to-remote cortical connectivity, we acquired resting-state images from 60 healthy participants and employed the Mental Health Continuum Short Form to measure wellbeing, including three dimensions, namely, emotional wellbeing, psychological wellbeing, and social wellbeing. Functional homogeneity (ReHo) and seed-based functional connectivity were used to evaluate local-to-remote cortical connectivity in these participants. For local connectivity, our results showed that ReHo in the right orbitofrontal sulcus was significantly positively correlated with psychological wellbeing but negatively correlated with social wellbeing. For remote connectivity, connectivity within the right orbitofrontal cortex and interhemispheric connectivity of the orbitofrontal sulcus were both positively associated with psychological wellbeing; functional connectivity between the right orbitofrontal sulcus and the left postcentral sulcus was positively associated with social wellbeing. Our results showed that wellbeing was indeed associated with local-to-remote cortical connectivity, and our findings supplied a new perspective of distance-related neural mechanisms of wellbeing.
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Affiliation(s)
- Yubin Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Chunlin Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Lili Jiang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- *Correspondence: Lili Jiang,
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Kang J, Jiao Z, Qin Y, Wang Y, Wang J, Jin L, Feng J, Wang F, Tang Y, Gong X. Associations between polygenic risk scores and amplitude of low-frequency fluctuation of inferior frontal gyrus in schizophrenia. J Psychiatr Res 2022; 147:4-12. [PMID: 34999338 DOI: 10.1016/j.jpsychires.2021.12.043] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 12/14/2021] [Accepted: 12/20/2021] [Indexed: 10/19/2022]
Abstract
Schizophrenia (SCZ) is a serious and complex mental disorder with high heritability. Polygenic risk score (PRS) is a useful tool calculating the accumulating effects of multiple common genetic variants of schizophrenia. The amplitude of low-frequency fluctuation (ALFF) is an efficient index to reflect spontaneous, intrinsic neuronal activity. Aberrant ALFF of brain regions were reported in schizophrenia frequently, but the relationship between PRS and ALFF has not been studied. In the present study, we compared PRS and ALFF in 101 schizophrenia patients and 106 age-matched healthy controls to test their associations with schizophrenia. Then, the correlation of PRS with ALFF was measured to reveal the effect of polygenic risk on brain activity in schizophrenia. We found that schizophrenia patients showed significant differences in PRS and ALFF compared with controls. Twenty-six brain regions showed significant difference of ALFF between schizophrenia cases and controls, of which left inferior frontal gyrus, triangular part (IFGtriang.L) showed increased activity in schizophrenia. PRS-SCZ was positively correlated with ALFF in IFGtriang.L in 57 non-chronic patients. Genes involved in synaptic organization and transmission, especially in glutamatergic synapse, were highly enriched in PRS-SCZ genes, suggesting the dysfunction of synapses in schizophrenia. These results help to understand the molecular mechanism underlying schizophrenia and related brain dysfunction.
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Affiliation(s)
- Jujiao Kang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Shanghai Center for Mathematical Science, Fudan University, Shanghai, China
| | - Zeyu Jiao
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Shanghai Center for Mathematical Science, Fudan University, Shanghai, China
| | - Yue Qin
- School of Life Sciences, Fudan University, Shanghai, China
| | - Yi Wang
- School of Life Sciences, Fudan University, Shanghai, China
| | - Jiucun Wang
- School of Life Sciences, Fudan University, Shanghai, China; Human Phoneme Institute, Fudan University, Shanghai, China
| | - Li Jin
- School of Life Sciences, Fudan University, Shanghai, China
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Shanghai Center for Mathematical Science, Fudan University, Shanghai, China; Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK
| | - Fei Wang
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Yanqing Tang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, China.
| | - Xiaohong Gong
- School of Life Sciences, Fudan University, Shanghai, China.
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18
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Zhang Z, Bo Q, Li F, Zhao L, Wang Y, Liu R, Chen X, Wang C, Zhou Y. Increased ALFF and functional connectivity of the right striatum in bipolar disorder patients. Prog Neuropsychopharmacol Biol Psychiatry 2021; 111:110140. [PMID: 33068681 DOI: 10.1016/j.pnpbp.2020.110140] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 09/19/2020] [Accepted: 10/10/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Bipolar disorder (BD) is a serious neuropsychiatric disorder characterized by alternating periods of mania, depression, and euthymia. Abnormal spontaneous brain activity within the cortical-striatal neural circuits has been observed in patients with BD. However, whether the abnormality appears in patients with BD while not in a manic mood state is unclear. METHODS This study collected resting-state fMRI data from 65 patients with BD who were not in a manic mood state and 85 matched healthy controls. First, we examined differences in amplitude of low-frequency fluctuations (ALFF) between the patients with BD and the healthy controls to identify regions that show abnormal local spontaneous activity in the patients. Based on the ALFF results, we conducted seed-based resting-state functional connectivity (rsFC) analysis to identify the changes in brain networks that are centered on the regions showing abnormal local spontaneous activity in the patients. Finally, we repeated these analyses in a sub-sample comprising euthymic BD patients (N = 37) and between the euthymic BD patients and all the other patients who had at least mild depressive symptoms. RESULTS BD patients exhibited increased ALFF in the right caudate/putamen and increased rsFC in the right caudate/putamen with the right inferior parietal lobe (cluster-level FWE p < 0.05). Further analyses showed that the euthymic BD patients showed similar abnormalities in ALFF and rsFC maps as found in all patients with BD. And the euthymic BD patients were comparable with all the other patients who had at least mild depressive symptoms in ALFF values. CONCLUSIONS Our results indicated the important role of the right striatum in the baseline brain function of BD patients and suggested that the abnormality of spontaneous brain activity in the cortical-striatal neural circuits may be a trait-like variant in patients with BD. The results deepen our understanding of the neurobiological mechanisms associated with BD etiology.
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Affiliation(s)
- Zhifang Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Qijing Bo
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Feng Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Lei Zhao
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yun Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Rui Liu
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xiongying Chen
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Chuanyue Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yuan Zhou
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China; CAS Key Laboratory of Behavioral Science, Institute of Psychology & Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101,China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China.
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Fronto-limbic neural variability as a transdiagnostic correlate of emotion dysregulation. Transl Psychiatry 2021; 11:545. [PMID: 34675186 PMCID: PMC8530999 DOI: 10.1038/s41398-021-01666-3] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 09/08/2021] [Accepted: 10/01/2021] [Indexed: 12/15/2022] Open
Abstract
Emotion dysregulation is central to the development and maintenance of psychopathology, and is common across many psychiatric disorders. Neurobiological models of emotion dysregulation involve the fronto-limbic brain network, including in particular the amygdala and prefrontal cortex (PFC). Neural variability has recently been suggested as an index of cognitive flexibility. We hypothesized that within-subject neural variability in the fronto-limbic network would be related to inter-individual variation in emotion dysregulation in the context of low affective control. In a multi-site cohort (N = 166, 93 females) of healthy individuals and individuals with emotional dysregulation (attention deficit/hyperactivity disorder (ADHD), bipolar disorder (BD), and borderline personality disorder (BPD)), we applied partial least squares (PLS), a multivariate data-driven technique, to derive latent components yielding maximal covariance between blood-oxygen level-dependent (BOLD) signal variability at rest and emotion dysregulation, as expressed by affective lability, depression and mania scores. PLS revealed one significant latent component (r = 0.62, p = 0.044), whereby greater emotion dysregulation was associated with increased neural variability in the amygdala, hippocampus, ventromedial, dorsomedial and dorsolateral PFC, insula and motor cortex, and decreased neural variability in occipital regions. This spatial pattern bears a striking resemblance to the fronto-limbic network, which is thought to subserve emotion regulation, and is impaired in individuals with ADHD, BD, and BPD. Our work supports emotion dysregulation as a transdiagnostic dimension with neurobiological underpinnings that transcend diagnostic boundaries, and adds evidence to neural variability being a relevant proxy of neural efficiency.
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20
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Liang D, Xia S, Zhang X, Zhang W. Analysis of Brain Functional Connectivity Neural Circuits in Children With Autism Based on Persistent Homology. Front Hum Neurosci 2021; 15:745671. [PMID: 34588970 PMCID: PMC8473898 DOI: 10.3389/fnhum.2021.745671] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 08/19/2021] [Indexed: 11/24/2022] Open
Abstract
Autism spectrum disorder (ASD) is a complex neuropsychiatric disorder with a complex and unknown etiology. Statistics demonstrate that the number of people diagnosed with ASD is increasing in countries around the world. Currently, although many neuroimaging studies indicate that ASD is characterized by abnormal functional connectivity (FC) patterns within brain networks rather than local functional or structural abnormalities, the FC characteristics of ASD are still poorly understood. In this study, a Vietoris-Rips (VR) complex filtration model of the brain functional network was established by using resting-state functional magnetic resonance imaging (fMRI) data of children aged 6–13 years old [including 54 ASD patients and 52 typical development (TD) controls] from the Autism Brain Imaging Data Exchange (ABIDE) public database. VR complex filtration barcodes are calculated by using persistent homology to describe the changes in the FC neural circuits of brain networks. The number of FC neural circuits with different length ranges at different threshold values is calculated by using the barcodes, the different brain regions participating in FC neural circuits are discussed, and the connectivity characteristics of brain FC neural circuits in the two groups are compared and analyzed. Our results show that the number of FC neural circuits with lengths of 8–12 is significantly decreased in the ASD group compared with the TD control group at threshold values of 0.7, 0.8 and 0.9, and there is no significant difference in the number of FC neural circuits with lengths of 4–7 and 13–16 and lengths 16. When the thresholds are 0.7, 0.8, and 0.9, the number of FC neural circuits in some brain regions, such as the right orbital part of the superior frontal gyrus, the left supplementary motor area, the left hippocampus, and the right caudate nucleus, involved in the study is significantly decreased in the ASD group compared with the TD control group. The results of this study indicate that there are significant differences in the FC neural circuits of brain networks in the ASD group compared with the TD control group.
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Affiliation(s)
- Di Liang
- School of Science, Shandong Jianzhu University, Jinan, China
| | - Shengxiang Xia
- School of Science, Shandong Jianzhu University, Jinan, China
| | - Xianfu Zhang
- School of Control Science and Engineering, Shandong University, Jinan, China
| | - Weiwei Zhang
- School of Science, Shandong Jianzhu University, Jinan, China
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21
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Li H, Liu H, Tang Y, Yan R, Jiang X, Fan G, Sun W. Decreased Functional Connectivity of Vermis-Ventral Prefrontal Cortex in Bipolar Disorder. Front Hum Neurosci 2021; 15:711688. [PMID: 34335214 PMCID: PMC8322441 DOI: 10.3389/fnhum.2021.711688] [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: 05/19/2021] [Accepted: 06/25/2021] [Indexed: 11/21/2022] Open
Abstract
Objectives: To investigate changes in functional connectivity between the vermis and cerebral regions in the resting state among subjects with bipolar disorder (BD). Methods: Thirty participants with BD and 28 healthy controls (HC) underwent the resting state functional magnetic resonance imaging (fMRI). Resting-state functional connectivity (rsFC) of the anterior and posterior vermis was examined. For each participant, rsFC maps of the anterior and posterior vermis were computed and compared across the two groups. Results: rsFC between the whole vermis and ventral prefrontal cortex (VPFC) was significantly lower in the BD groups compared to the HC group, and rsFC between the anterior vermis and the middle cingulate cortex was likewise significantly decreased in the BD group. Limitations: 83.3% of the BD participants were taking medication at the time of the study. Our findings may in part be attributed to treatment differences because we did not examine the effects of medication on rsFC. Further, the mixed BD subtypes in our current study may have confounding effects influencing the results. Conclusions: These rsFC differences of vermis-VPFC between groups may contribute to the BD mood regulation.
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Affiliation(s)
- Huanhuan Li
- Department of Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Hu Liu
- Department of Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Yanqing Tang
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, China
| | - Rongkai Yan
- Department of Radiology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China.,Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Xiaowei Jiang
- Department of Radiology, The First Hospital of China Medical University, Shenyang, China.,Department of Psychiatry, The First Hospital of China Medical University, Shenyang, China.,Brain Function Research Section, The First Hospital of China Medical University, Shenyang, China
| | - Guoguang Fan
- Department of Radiology, The First Hospital of China Medical University, Shenyang, China
| | - Wenge Sun
- Department of Radiology, The First Hospital of China Medical University, Shenyang, China
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22
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Chrobak AA, Bohaterewicz B, Sobczak AM, Marszał-Wiśniewska M, Tereszko A, Krupa A, Ceglarek A, Fafrowicz M, Bryll A, Marek T, Dudek D, Siwek M. Time-Frequency Characterization of Resting Brain in Bipolar Disorder during Euthymia-A Preliminary Study. Brain Sci 2021; 11:brainsci11050599. [PMID: 34067189 PMCID: PMC8150994 DOI: 10.3390/brainsci11050599] [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] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 04/28/2021] [Accepted: 05/04/2021] [Indexed: 11/21/2022] Open
Abstract
The goal of this paper is to investigate the baseline brain activity in euthymic bipolar disorder (BD) patients by comparing it to healthy controls (HC) with the use of a variety of resting state functional magnetic resonance imaging (rs-fMRI) analyses, such as amplitude of low frequency fluctuations (ALFF), fractional ALFF (f/ALFF), ALFF-based functional connectivity (FC), and r egional homogeneity (ReHo). We hypothesize that above-mentioned techniques will differentiate BD from HC indicating dissimilarities between the groups within different brain structures. Forty-two participants divided into two groups of euthymic BD patients (n = 21) and HC (n = 21) underwent rs-fMRI evaluation. Typical band ALFF, slow-4, slow-5, f/ALFF, as well as ReHo indexes were analyzed. Regions with altered ALFF were chosen as ROI for seed-to-voxel analysis of FC. As opposed to HC, BD patients revealed: increased ALFF in left insula; increased slow-5 in left middle temporal pole; increased f/ALFF in left superior frontal gyrus, left superior temporal gyrus, left middle occipital gyrus, right putamen, and bilateral thalamus. There were no significant differences between BD and HC groups in slow-4 band. Compared to HC, the BD group presented higher ReHo values in the left superior medial frontal gyrus and lower ReHo values in the right supplementary motor area. FC analysis revealed significant hyper-connectivity within the BD group between left insula and bilateral middle frontal gyrus, right superior parietal gyrus, right supramarginal gyrus, left inferior parietal gyrus, left cerebellum, and left supplementary motor area. To our best knowledge, this is the first rs-fMRI study combining ReHo, ALFF, f/ALFF, and subdivided frequency bands (slow-4 and slow-5) in euthymic BD patients. ALFF, f/ALFF, slow-5, as well as REHO analysis revealed significant differences between two studied groups. Although results obtained with the above methods enable to identify group-specific brain structures, no overlap between the brain regions was detected. This indicates that combination of foregoing rs-fMRI methods may complement each other, revealing the bigger picture of the complex resting state abnormalities in BD.
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Affiliation(s)
- Adrian Andrzej Chrobak
- Department of Adult Psychiatry, Jagiellonian University Medical College, Kopernika st. 21a, 31-501 Kraków, Poland; (A.A.C.); (D.D.)
| | - Bartosz Bohaterewicz
- Department of Psychology of Individual Differences, Psychological Diagnosis and Psychometrics, Faculty of Psychology in Warsaw, SWPS University of Social Sciences and Humanities, Chodakowska st. 19/31, 03-815 Warsaw, Poland; (B.B.); (M.M.-W.)
- Department of Cognitive Neuroscience and Neuroergonomics, Jagiellonian University, Prof. Stanisława Łojasiewicza st. 4, 30-348 Kraków, Poland; (A.C.); (M.F.); (T.M.)
| | - Anna Maria Sobczak
- Department of Cognitive Neuroscience and Neuroergonomics, Jagiellonian University, Prof. Stanisława Łojasiewicza st. 4, 30-348 Kraków, Poland; (A.C.); (M.F.); (T.M.)
- Correspondence:
| | - Magdalena Marszał-Wiśniewska
- Department of Psychology of Individual Differences, Psychological Diagnosis and Psychometrics, Faculty of Psychology in Warsaw, SWPS University of Social Sciences and Humanities, Chodakowska st. 19/31, 03-815 Warsaw, Poland; (B.B.); (M.M.-W.)
| | - Anna Tereszko
- Chair of Psychiatry, Jagiellonian University Medical College, Kopernika st. 21a, 31-501 Kraków, Poland;
| | - Anna Krupa
- Department of Psychiatry, Jagiellonian University Medical College, Kopernika st. 21a, 31-501 Kraków, Poland;
| | - Anna Ceglarek
- Department of Cognitive Neuroscience and Neuroergonomics, Jagiellonian University, Prof. Stanisława Łojasiewicza st. 4, 30-348 Kraków, Poland; (A.C.); (M.F.); (T.M.)
| | - Magdalena Fafrowicz
- Department of Cognitive Neuroscience and Neuroergonomics, Jagiellonian University, Prof. Stanisława Łojasiewicza st. 4, 30-348 Kraków, Poland; (A.C.); (M.F.); (T.M.)
- Malopolska Centre of Biotechnology, Neuroimaging Group, Jagiellonian University, Gronostajowa st. 7a, 30-387 Kraków, Poland
| | - Amira Bryll
- Department of Radiology, Jagiellonian University Medical College, Kopernika st. 19, 31-501 Kraków, Poland;
| | - Tadeusz Marek
- Department of Cognitive Neuroscience and Neuroergonomics, Jagiellonian University, Prof. Stanisława Łojasiewicza st. 4, 30-348 Kraków, Poland; (A.C.); (M.F.); (T.M.)
| | - Dominika Dudek
- Department of Adult Psychiatry, Jagiellonian University Medical College, Kopernika st. 21a, 31-501 Kraków, Poland; (A.A.C.); (D.D.)
| | - Marcin Siwek
- Department of Affective Disorders, Jagiellonian University Medical College, Kopernika st. 21a, 31-501 Kraków, Poland;
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Chen X, Xu Y, Li B, Wu X, Li T, Wang L, Zhang Y, Lin W, Qu C, Feng C. Intranasal vasopressin modulates resting state brain activity across multiple neural systems: Evidence from a brain imaging machine learning study. Neuropharmacology 2021; 190:108561. [PMID: 33852823 DOI: 10.1016/j.neuropharm.2021.108561] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 03/09/2021] [Accepted: 04/05/2021] [Indexed: 11/28/2022]
Abstract
Arginine vasopressin (AVP), a neuropeptide with widespread receptors in brain regions important for socioemotional processing, is critical in regulating various mammalian social behavior and emotion. Although a growing body of task-based brain imaging studies have revealed the effects of AVP on brain activity associated with emotion processing, social cognition and behaviors, the potential modulations of AVP on resting-state brain activity remain largely unknown. Here, the current study addressed this issue by adopting a machine learning approach to distinguish administration of AVP and placebo, employing the amplitude of low-frequency fluctuation (ALFF) as a measure of resting-state brain activity. The brain regions contributing to the classification were then subjected to functional connectivity and decoding analyses, allowing for a data-driven quantitative inference on psychophysiological functions. Our results indicated that ALFF across multiple neural systems were sufficient to distinguish between AVP and placebo at individual level, with the contributing regions distributed across the social cognition network, sensorimotor regions and emotional processing network. These findings suggest that the role of AVP in socioemotional functioning recruits multiple brain networks distributed across the whole brain rather than specific localized neural pathways. Beyond these findings, the current data-driven approach also opens a novel avenue to delineate neural underpinnings of various neuropeptides or hormones.
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Affiliation(s)
- Xinling Chen
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, China; School of Psychology, South China Normal University, Guangzhou, China; Center for Studies of Psychological Application, South China Normal University, Guangzhou, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
| | - Yongbo Xu
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, China; School of Psychology, South China Normal University, Guangzhou, China; Center for Studies of Psychological Application, South China Normal University, Guangzhou, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
| | - Bingjie Li
- Institute of Cognitive Neuroscience, University College London, London, UK.
| | - Xiaoyan Wu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
| | - Ting Li
- Institute of Brain Research and Rehabilitation (IBRR) South China Normal University, Guangzhou, China.
| | - Li Wang
- Collaborative Innovation Center of Assessment for Basic Education Quality, Beijing Normal University, Beijing, China.
| | - Yijie Zhang
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, China; School of Psychology, South China Normal University, Guangzhou, China; Center for Studies of Psychological Application, South China Normal University, Guangzhou, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
| | - Wanghuan Lin
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, China; School of Psychology, South China Normal University, Guangzhou, China; Center for Studies of Psychological Application, South China Normal University, Guangzhou, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
| | - Chen Qu
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, China; School of Psychology, South China Normal University, Guangzhou, China; Center for Studies of Psychological Application, South China Normal University, Guangzhou, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
| | - Chunliang Feng
- Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, China; School of Psychology, South China Normal University, Guangzhou, China; Center for Studies of Psychological Application, South China Normal University, Guangzhou, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
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24
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Simard I, Denomme WJ, Shane MS. Altered power spectra in antisocial males during rest as a function of cocaine dependence: A network analysis. Psychiatry Res Neuroimaging 2021; 309:111235. [PMID: 33484936 PMCID: PMC7904621 DOI: 10.1016/j.pscychresns.2020.111235] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 12/02/2020] [Accepted: 12/10/2020] [Indexed: 11/20/2022]
Abstract
Abnormalities in the spectral power of offenders' neural oscillations have been noted within select Resting-State Networks (RSNs); however, no study has yet evaluated the influence of cocaine dependence, drug use severity, and psychopathic traits on these abnormalities. To this end, the present study compared rest-related power spectral characteristics between two groups of offenders (with and without a DSM-IV-TR cocaine-dependence diagnosis) and a non-offender control group. Results indicated that both offender groups presented with lower low frequency power ratio (LFPR) scores (i.e. across all RSNs) than non-offenders. These differences in LFPR scores were due to both higher high-frequency power (0.15-0.25 Hz; within seven (in non-dependent offenders) and five (in cocaine-dependent offenders) of eight investigated networks) and decreased low-frequency power (0.01-0.10 Hz; within six (in non-dependent offenders) and one (in cocaine-dependent offenders) of eight investigated networks) compared to non-offenders. Thus, both cocaine-dependent and non-dependent offenders displayed abnormal neural oscillations, suggesting that these oscillatory abnormalities could exist as neurobiological features associated with offender status. Offenders' LFPR levels correlated with lifetime years of cocaine use, but not with the level of psychopathic traits. These findings supplement our knowledge regarding the influence of substance use on resting-state activity in offenders; moreover, they provide further indication of the importance of evaluating shared/unique variance associated with drug use and pyschopathic personality traits.
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Affiliation(s)
- Isabelle Simard
- University of Ontario Institute of Technology, Faculty of Social Science and Humanities, 2000 Simcoe Street North, Oshawa, ON L1H 7K4, Canada.
| | - William J Denomme
- University of Ontario Institute of Technology, Faculty of Social Science and Humanities, 2000 Simcoe Street North, Oshawa, ON L1H 7K4, Canada.
| | - Matthew S Shane
- University of Ontario Institute of Technology, Faculty of Social Science and Humanities, 2000 Simcoe Street North, Oshawa, ON L1H 7K4, Canada.
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25
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Liu X, Li L, Li M, Ren Z, Ma P. Characterizing the subtype of anhedonia in major depressive disorder: A symptom-specific multimodal MRI study. Psychiatry Res Neuroimaging 2021; 308:111239. [PMID: 33453684 DOI: 10.1016/j.pscychresns.2020.111239] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 11/02/2020] [Accepted: 12/18/2020] [Indexed: 01/19/2023]
Abstract
Anhedonia is a core symptom of major depressive disorder (MDD). Two subtypes of anhedonia: anticipatory anhedonia and consummatory anhedonia has been recognized in MDD patients. However, our knowledge regarding the distinction of anticipatory anhedonia and consummatory anhedonia in MDD remains limited. This study aimed to characterize the anticipatory anhedonia and consummatory anhedonia in first-episode, drug-naïve MDD patients. Resting-state functional MRI and T1-structural MRI were acquired for 38 MDD patients and 65 matched healthy controls (HCs). The ALFF and cortical surface indexes were compared between MDD and HCs. Then the correlations between the ALFF and cortical surface indexes alternations and the scores of anticipatory and consummatory pleasure measured by Temporal Experience of Pleasure Scale were evaluated. The elevated ALFF of left dorsal anterior cingulate cortex (dACC) and the reduced cortical thickness (CT) of left rostral ACC and lateral orbitofrontal cortex (lOFC) were respectively correlated with anticipatory anhedonia and consummatory anhedonia in MDD patients. These findings suggested the dissociated pathophysiological basis and imaging characteristics of anticipatory anhedonia and consummatory anhedonia. The ALFF and CT values of ACC and lOFC might serve as the imaging biomarker of the subtypes of anhedonia in early onset of MDD.
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Affiliation(s)
- Xiaodan Liu
- Medical Imaging Center, First affiliated hospital of JINAN University, Guangzhou, 510630, China.
| | - Lingsheng Li
- Medical Imaging Center, First affiliated hospital of JINAN University, Guangzhou, 510630, China
| | - Meng Li
- Medical Imaging Center, First affiliated hospital of JINAN University, Guangzhou, 510630, China
| | - Zepu Ren
- Department of Psychiatry, First affiliated hospital of JINAN University, Guangzhou, China
| | - Ping Ma
- Department of Psychiatry, First affiliated hospital of JINAN University, Guangzhou, China
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26
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Jiang X, Wu F, Zhang Y, Li H, Kang J, Kong L, Wang F, Tang Y. Gender differences of amplitude of low-frequency fluctuations in bipolar disorder: A resting state fMRI study. J Affect Disord 2021; 280:189-196. [PMID: 33217701 DOI: 10.1016/j.jad.2020.11.087] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 09/27/2020] [Accepted: 11/08/2020] [Indexed: 11/29/2022]
Abstract
BACKGROUND The clinical and epidemiological features of bipolar disorder (BD) between females and males have many differences. The association between brain function and gender in BD is unknown. This research aimed to investigate the association between brain function and gender in BD by using amplitude of low-frequency fluctuations (ALFFs). METHODS Ninety-eight patients (49 females and 49 males) with BD and 171 matched healthy controls (HCs, 89 females and 82 males) were recruited for resting-state functional magnetic resonance imaging. ALFF was used to estimate brain function. RESULTS A main effect of diagnosis in ALFF was observed in the dorsal lateral prefrontal cortex (DLPFC), ventral prefrontal cortex (VPFC), caudate and occipital lobe. A main effect of gender in ALFF was found in the right VPFC, DLPFC, thalamus, and occipital lobe. A main effect of diagnosis gender interaction in ALFF was observed in the left DLPFC. Analyses of two-sample t-test indicated that male patients with BD had increased ALFF in the right hippocampus, right amygdala, left caudate, and left DLPFC, and decreased ALFF in the occipital lobe compared with male HC. Female patients with BD demonstrated increased ALFF in the right VPFC and right DLPFC compared with female HC. Male patients with BD exhibited increased ALFF in the right VPFC and left DLPFC and decreased ALFF in the occipital lobe compared with female patients with BD. LIMITATIONS This study did not consider the effect of medications and emotional states on brain activity. CONCLUSIONS Results suggested gender differences in the dysfunctions of the cortico-limbic neural system in BD.
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Affiliation(s)
- Xuejun Jiang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China; Department of Gerontology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Feng Wu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yifan Zhang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Huizi Li
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Jiahui Kang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Lingtao Kong
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
| | - Fei Wang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China; Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yanqing Tang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China; Department of Gerontology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
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27
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Zhao Y, Wang L, Edmiston EK, Womer FY, Jiang X, Wu F, Kong L, Zhou Y, Wang F, Tang Y, Wei S. Alterations in gray matter volumes and intrinsic activity in the prefrontal cortex are associated with suicide attempts in patients with bipolar disorder. Psychiatry Res Neuroimaging 2021; 307:111229. [PMID: 33242746 DOI: 10.1016/j.pscychresns.2020.111229] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 10/13/2020] [Accepted: 11/17/2020] [Indexed: 12/12/2022]
Abstract
Bipolar disorder (BD) is associated with increased suicidal behavior. Understanding the neural features of suicide attempts (SA) in patients with BD is critical to preventing suicidal behavior. The prefrontal cortex (PFC) is a key region related to SA. In this study, forty BD patients with a history of SA (BD+SA), 70 BD patients without a history of SA (BD-SA), and 110 individuals in a healthy control (HC) group underwent structural magnetic resonance imaging (MRI) and resting-state functional MRI. We used voxel-based morphometry (VBM) and amplitude of low frequency fluctuations (ALFF) techniques to examine the gray matter volumes (GMVs) and ALFF values in the PFC. Compared with the HC group, both the BD+SA and BD-SA groups had lower GMVs and higher ALFF values in the medial PFC (MPFC), ventral PFC (VPFC), and dorsolateral PFC (DLPFC). The ALFF values in the MPFC, VPFC, and DLPFC in the BD+SA group were significantly higher than those in the BD-SA group. These findings suggest that BD patients with SA have intrinsic activity abnormalities in PFC regions. This provides potentially identifiable neuroimaging markers in BD patients with SA that could be used to increase our understanding of suicidal behavior.
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Affiliation(s)
- Yimeng Zhao
- Department of Psychiatry, China Medical University, Shenyang, Liaoning, China; Department of Psychiatry, First Affiliated Hospital, China Medical University, 155 Nanjing North St., Shenyang, 110001, Liaoning, China; Brain Function Research Section, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, China
| | - Lifei Wang
- Department of Psychiatry, China Medical University, Shenyang, Liaoning, China; Brain Function Research Section, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, China
| | - Elliot K Edmiston
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States
| | - Fay Y Womer
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, United States
| | - Xiaowei Jiang
- Brain Function Research Section, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, China; Department of Radiology, First Affiliated Hospital, China Medical University, 155 Nanjing North St., Shenyang, 110001, Liaoning, China
| | - Feng Wu
- Department of Psychiatry, First Affiliated Hospital, China Medical University, 155 Nanjing North St., Shenyang, 110001, Liaoning, China
| | - Lingtao Kong
- Department of Psychiatry, First Affiliated Hospital, China Medical University, 155 Nanjing North St., Shenyang, 110001, Liaoning, China
| | - Yifang Zhou
- Department of Psychiatry, First Affiliated Hospital, China Medical University, 155 Nanjing North St., Shenyang, 110001, Liaoning, China; Department of Geriatric Medicine, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, China
| | - Fei Wang
- Department of Psychiatry, First Affiliated Hospital, China Medical University, 155 Nanjing North St., Shenyang, 110001, Liaoning, China; Brain Function Research Section, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, China; Department of Radiology, First Affiliated Hospital, China Medical University, 155 Nanjing North St., Shenyang, 110001, Liaoning, China
| | - Yanqing Tang
- Department of Psychiatry, First Affiliated Hospital, China Medical University, 155 Nanjing North St., Shenyang, 110001, Liaoning, China; Department of Geriatric Medicine, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, China.
| | - Shengnan Wei
- Brain Function Research Section, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, China; Department of Radiology, First Affiliated Hospital, China Medical University, 155 Nanjing North St., Shenyang, 110001, Liaoning, China.
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28
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Identifying and validating subtypes within major psychiatric disorders based on frontal-posterior functional imbalance via deep learning. Mol Psychiatry 2021; 26:2991-3002. [PMID: 33005028 PMCID: PMC8505253 DOI: 10.1038/s41380-020-00892-3] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 08/27/2020] [Accepted: 09/15/2020] [Indexed: 12/31/2022]
Abstract
Converging evidence increasingly implicates shared etiologic and pathophysiological characteristics among major psychiatric disorders (MPDs), such as schizophrenia (SZ), bipolar disorder (BD), and major depressive disorder (MDD). Examining the neurobiology of the psychotic-affective spectrum may greatly advance biological determination of psychiatric diagnosis, which is critical for the development of more effective treatments. In this study, ensemble clustering was developed to identify subtypes within a trans-diagnostic sample of MPDs. Whole brain amplitude of low-frequency fluctuations (ALFF) was used to extract the low-dimensional features for clustering in a total of 944 participants: 581 psychiatric patients (193 with SZ, 171 with BD, and 217 with MDD) and 363 healthy controls (HC). We identified two subtypes with differentiating patterns of functional imbalance between frontal and posterior brain regions, as compared to HC: (1) Archetypal MPDs (60% of MPDs) had increased frontal and decreased posterior ALFF, and decreased cortical thickness and white matter integrity in multiple brain regions that were associated with increased polygenic risk scores and enriched risk gene expression in brain tissues; (2) Atypical MPDs (40% of MPDs) had decreased frontal and increased posterior ALFF with no associated alterations in validity measures. Medicated Archetypal MPDs had lower symptom severity than their unmedicated counterparts; whereas medicated and unmedicated Atypical MPDs had no differences in symptom scores. Our findings suggest that frontal versus posterior functional imbalance as measured by ALFF is a novel putative trans-diagnostic biomarker differentiating subtypes of MPDs that could have implications for precision medicine.
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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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Liang Y, Jiang X, Zhu W, Shen Y, Xue F, Li Y, Chen Z. Disturbances of Dynamic Function in Patients With Bipolar Disorder I and Its Relationship With Executive-Function Deficit. Front Psychiatry 2020; 11:537981. [PMID: 33192653 PMCID: PMC7542231 DOI: 10.3389/fpsyt.2020.537981] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 09/02/2020] [Indexed: 01/20/2023] Open
Abstract
Abnormity in brain regional function and inter-regional cooperation have been linked with the dysfunction during cognitive and emotional processing in bipolar disorder (BD) patients. Recent evidences have suggested that brain function is not static but temporal dynamic. In present study, we aimed to characterize the temporal dynamics of regional function and inter-regional cooperation in BD and its relationship with executive dysfunction, an important deficit in BD. Resting-state functional MRI was performed in patients with bipolar I disorder (BDI) (n = 18) and healthy controls (HCs, n = 19). We first assessed local-function temporal variety with dynamic amplitude of low-frequency fluctuation (dALFF). Region with significant inter-groups difference in dALFF was chosen as a seed to calculate inter-regions connective temporal variety with dynamic functional connectivity (dFC). The executive function was measured by Verbal Fluency Test (VFT). The relationship between executive function and brain dynamics were examined. Compared with HC, the BDI group showed decreased dALFF (less temporal variability) in the posterior cingulate cortex (PCC) and decreased dFC between PCC and medial prefrontal cortex (mPFC). The PCC-mPFC dFC was positively associated with VFT in BDI patients, but not in HC. These findings implicated the reduced temporal variability in local region and inter-regions cooperation in BDI, which may be a neural substrate of executive-function deficit in BDI.
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Affiliation(s)
- Yan Liang
- Department of Psychiatry, Hangzhou Seventh People’s Hospital, Hangzhou, China
- Mental Health Center, Zhejiang University, School of Medicine, Hangzhou, China
| | - Xiaoying Jiang
- Department of Psychiatry, Hangzhou Seventh People’s Hospital, Hangzhou, China
- Mental Health Center, Zhejiang University, School of Medicine, Hangzhou, China
| | - Wenjing Zhu
- Department of Psychiatry, Hangzhou Seventh People’s Hospital, Hangzhou, China
- Mental Health Center, Zhejiang University, School of Medicine, Hangzhou, China
| | - Yonghui Shen
- Department of Psychiatry, Hangzhou Seventh People’s Hospital, Hangzhou, China
- Mental Health Center, Zhejiang University, School of Medicine, Hangzhou, China
| | - Fengfeng Xue
- Department of Psychiatry, Hangzhou Seventh People’s Hospital, Hangzhou, China
- Mental Health Center, Zhejiang University, School of Medicine, Hangzhou, China
| | - Yi Li
- Department of Psychiatry, Hangzhou Seventh People’s Hospital, Hangzhou, China
- Mental Health Center, Zhejiang University, School of Medicine, Hangzhou, China
| | - Zhiyu Chen
- Department of Psychiatry, Hangzhou Seventh People’s Hospital, Hangzhou, China
- Mental Health Center, Zhejiang University, School of Medicine, Hangzhou, China
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31
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Shi J, Guo H, Liu S, Xue W, Fan F, Fan H, An H, Wang Z, Tan S, Yang F, Tan Y. Resting-state functional connectivity of neural circuits associated with primary and secondary rewards in patients with bipolar disorder. Soc Cogn Affect Neurosci 2020; 15:755-763. [PMID: 32734286 PMCID: PMC7511880 DOI: 10.1093/scan/nsaa100] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 06/08/2020] [Accepted: 07/11/2020] [Indexed: 01/27/2023] Open
Abstract
Objective We used resting-state functional connectivity (rsFC) to evaluate the integrity of the neural circuits associated with primary and secondary rewards in bipolar disorder (BD) with different mood phases. Methods Sixty patients with BD [21 patients with depressive episode of BD (BDD) and 41 patients with maniac episode of BD (BDM)] and 42 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging. rsFC was assessed using region of interest-wise analyses. Results Attenuation of rsFC at the orbitofrontal cortex (OFC) and the left ventral striatum (LVS) was observed in the secondary reward circuit of patients with BD compared to that of HCs. Among BDD, BDM and HCs, the rsFC between OFC and LVS in BDM was intermediate, while the rsFC between OFC and right ventral striatum/right amygdala in BDM was the highest; the corresponding rsFC values in BDD were the lowest. Furthermore, a positive correlation was found between rsFC and Young Mania Rating Scale scores in BDM. Conclusions This study suggests that there may be an abnormal rsFC between OFC and LVS in the second reward of patients with BD and the discrepant patterns of rsFC may exist between different mood states in patients with BD.
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Affiliation(s)
- Jing Shi
- Psychiatry Research Center, Beijing HuiLongGuan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, China
| | - Hua Guo
- Present Office, The Psychiatric Hospital of Zhumadian, Zhumadian, Henan 463000, China
| | - Sijia Liu
- Psychiatry Research Center, Beijing HuiLongGuan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, China
| | - Wei Xue
- Department of Clinical Pharmacology, Beijing Hospital of the Ministry of Health, Beijing 100730, P.R. China
| | - Fengmei Fan
- Psychiatry Research Center, Beijing HuiLongGuan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, China
| | - Hongzhen Fan
- Psychiatry Research Center, Beijing HuiLongGuan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, China
| | - Huimei An
- Psychiatry Research Center, Beijing HuiLongGuan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, China
| | - Zhiren Wang
- Correspondence: Zhiren Wang, Psychiatry Research Center, Beijing HuiLongGuan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, China, 100096.
| | - Shuping Tan
- Psychiatry Research Center, Beijing HuiLongGuan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, China
| | - Fude Yang
- Psychiatry Research Center, Beijing HuiLongGuan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, China
| | - Yunlong Tan
- Psychiatry Research Center, Beijing HuiLongGuan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, China
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Qin Y, Kang J, Jiao Z, Wang Y, Wang J, Wang H, Feng J, Jin L, Wang F, Gong X. Polygenic risk for autism spectrum disorder affects left amygdala activity and negative emotion in schizophrenia. Transl Psychiatry 2020; 10:322. [PMID: 32958750 PMCID: PMC7506524 DOI: 10.1038/s41398-020-01001-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 09/02/2020] [Accepted: 09/07/2020] [Indexed: 12/27/2022] Open
Abstract
Although the diagnoses based on phenomenology have many practical advantages, accumulating evidence shows that schizophrenia and autism spectrum disorder (ASD) share some overlap in genetics and clinical presentation. It remains largely unknown how ASD-associated polygenetic risk contributes to the pathogenesis of schizophrenia. In the present study, we calculated high-resolution ASD polygenic risk scores (ASD PRSs) and selected optimal ten ASD PRS with minimal P values in the association analysis of PRSs, with schizophrenia to assess the effect of ASD PRS on brain neural activity in schizophrenia cases and controls. We found that amplitude of low-frequency fluctuation in left amygdala was positively associated with ASD PRSs in our cohort. Correlation analysis of ASD PRSs with facial emotion recognition test identified the negative correlation of ASD PRSs with negative emotions in schizophrenia cases and controls. Finally, functional enrichment analysis of PRS genes revealed that neural system function and development, as well as signal transduction, were mainly enriched in PRS genes. Our results provide empirical evidence that polygenic risk for ASD contributes to schizophrenia by the intermediate phenotypes of left amygdala function and emotion recognition. It provides a promising strategy to understand the relationship between phenotypes and genotypes shared in mental disorders.
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Affiliation(s)
- Yue Qin
- grid.8547.e0000 0001 0125 2443State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Jujiao Kang
- grid.8547.e0000 0001 0125 2443Shanghai Center for Mathematical Science, Fudan University, Shanghai, China
| | - Zeyu Jiao
- grid.8547.e0000 0001 0125 2443Shanghai Center for Mathematical Science, Fudan University, Shanghai, China
| | - Yi Wang
- grid.8547.e0000 0001 0125 2443State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Jiucun Wang
- grid.8547.e0000 0001 0125 2443State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China ,grid.8547.e0000 0001 0125 2443Human Phoneme Institute, Fudan University, Shanghai, China
| | - Hongyan Wang
- grid.8547.e0000 0001 0125 2443State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China ,grid.8547.e0000 0001 0125 2443Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Jianfeng Feng
- grid.8547.e0000 0001 0125 2443Shanghai Center for Mathematical Science, Fudan University, Shanghai, China ,grid.8547.e0000 0001 0125 2443Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China ,grid.7372.10000 0000 8809 1613Department of Computer Science, University of Warwick, Coventry, CV4 7AL UK
| | - Li Jin
- grid.8547.e0000 0001 0125 2443State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Fei Wang
- grid.412636.4Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Xiaohong Gong
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China.
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33
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Fang JW, Yu YJ, Tang LY, Chen SY, Zhang MY, Sun T, Wu SN, Yu K, Li B, Shao Y. Abnormal Fractional Amplitude of Low-Frequency Fluctuation Changes in Patients with Monocular Blindness: A Functional Magnetic Resonance Imaging (MRI) Study. Med Sci Monit 2020; 26:e926224. [PMID: 32773731 PMCID: PMC7439597 DOI: 10.12659/msm.926224] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND We used fractional amplitude of low-frequency fluctuation (fALFF) technology to investigate spontaneous cerebral activity in patients with monocular blindness (MB) and in healthy controls (HCs). MATERIAL AND METHODS Thirty MB patient and 15 HCs were included in this study. All subjects were scanned by resting-state functional magnetic resonance imaging (rs-fMRI). The independent sample t test and chi-squared test were applied to analyze demographics of MB patients and HCs. The 2-sample t test and receiver operating characteristic (ROC) curves were applied to identify the difference in average fALFF values between MB patients and HCs. Pearson's correlation analysis was applied to explore the relationship between the average fALFF values of brain areas and clinical behavior in the MB group. RESULTS MB patients had lower fALFF values in the left anterior cingulate and higher fALFF values in the left precuneus and right and left inferior parietal lobes than in HCs. Moreover, the mean fALFF values of MB patients in the left anterior cingulate had negative correlations with the anxiety scale score (r=-0.825, P<0.001) and the depression scale score (r=-0.871, P<0.001). CONCLUSIONS Our study found that MB patients had abnormal spontaneous activities in the visual and vision-related regions. The finding of abnormal neuronal activity helps to reveal the underlying neuropathologic mechanisms of vision loss.
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Affiliation(s)
- Jian-Wen Fang
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China (mainland)
| | - Ya-Jie Yu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China (mainland)
| | - Li-Ying Tang
- Department of Ophthalmology, Xiang'an Hospital of Xiamen University, Xiamen, Fujian, China (mainland).,Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Eye Institute of Xiamen University; Xiamen University School of Medicine, Xiamen, Fujian, China (mainland)
| | - Si-Yi Chen
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China (mainland)
| | - Meng-Yao Zhang
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China (mainland)
| | - Tie Sun
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China (mainland)
| | - Shi-Nan Wu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China (mainland)
| | - Kang Yu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China (mainland)
| | - Biao Li
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China (mainland)
| | - Yi Shao
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China (mainland)
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Zhang L, Li W, Wang L, Bai T, Ji GJ, Wang K, Tian Y. Altered functional connectivity of right inferior frontal gyrus subregions in bipolar disorder: a resting state fMRI study. J Affect Disord 2020; 272:58-65. [PMID: 32379621 DOI: 10.1016/j.jad.2020.03.122] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 02/04/2020] [Accepted: 03/29/2020] [Indexed: 11/26/2022]
Abstract
The right inferior frontal gyrus (rIFG) is a key cortical node in the circuits of emotion and cognitive control, and it has been frequently associated with bipolar disorder (BP); however, a reliable pattern of aberrant rIFG activation and connectivity in bipolar disorder has yet to be established. To further elucidate rIFG abnormalities in different states of bipolar disorder, we examined activation and functional connectivity (FC) in five subregions of rIFG in bipolar disorder. A total of 83 participants, including those with bipolar depression (BPD; n = 25) and bipolar mania (BPM; n = 37) along with healthy control (HC) subjects (n = 26), were examined by resting state functional magnetic resonance imaging (rs-fMRI). Both BPD and BPM groups showed higher values of amplitude of low-frequency fluctuations (ALFF) than healthy control in four of the five rIFG subregions except cluster 2(posterior-ventral rIFG). Using five subregions of rIFG as seeds, the decreased FC in bipolar disorder was mainly between posterior-ventral rIFG(cluster 2) and multiple brain regions including the postcentral gyrus, the precentral gyrus, paracentral lobule, lingual Gyrus, fusiform and cerebellum posterior lobe. These results indicated that local activity and FC were altered within specific subregions of the rIFG in BP. These findings may provide the distinct functional connectivity of rIFG subregions in BP and suggest that the cluster2 (posterior-ventral rIFG) circuitry plays a crucial role in BP. Also, such abnormalities might help define a more precise intervention targets.
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Affiliation(s)
- Li Zhang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China;; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China; Anhui Mental Health Center, Hefei, Anhui Province, China
| | - Wenfei Li
- Anhui Mental Health Center, Hefei, Anhui Province, China
| | - Long Wang
- Anhui Mental Health Center, Hefei, Anhui Province, China
| | - Tongjian Bai
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China;; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China
| | - Gong-Jun Ji
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei 230022, China;; Department of Medical Psychology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Kai Wang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China;; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China; Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei 230022, China;; Department of Medical Psychology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.
| | - Yanghua Tian
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China;; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China; Department of Medical Psychology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.
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35
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Dai W, Chen M, Duan W, Zhao L, Bolo NR, Tamminga C, Clementz BA, Pearlson GD, Alsop DC, Keshavan M. Abnormal perfusion fluctuation and perfusion connectivity in bipolar disorder measured by dynamic arterial spin labeling. Bipolar Disord 2020; 22:401-410. [PMID: 31630476 DOI: 10.1111/bdi.12856] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
OBJECTIVES We sought to evaluate whether dynamic Arterial Spin Labeling (dASL), a novel quantitative technique robust to artifacts and noise that especially arise in inferior brain regions, could characterize neural substrates of BD pathology and symptoms. METHODS Forty-five subjects (19 BD patients, 26 controls) were imaged using a dASL sequence. Maps of average perfusion, perfusion fluctuation, and perfusion connectivity with anterior cingulate cortex (ACC) were derived. Patient symptoms were quantified along four symptom dimensions determined using factor analysis of the subjects from the Bipolar and Schizophrenia Network on Intermediate Phenotypes (BSNIP) study. Maps of the perfusion measures were compared between BD patients and controls and correlated with the symptom dimensions in the BD patients only by voxel-level and region-level analyses. RESULTS BD patients exhibited (i) significantly increased perfusion fluctuations in the left fusiform and inferior temporal regions (P = .020, voxel-level corrected) and marginally increased perfusion fluctuations in the right temporal pole and inferior temporal regions (P = .063, cluster-level corrected), (ii) significantly increased perfusion connectivity between ACC and the occipitoparietal cortex (P = .050, cluster-level corrected). In BD patients, positive symptoms were negatively associated with ACC perfusion connectivity to the right orbitofrontal and superior frontal regions (P = .002, cluster-level corrected) and right orbitofrontal and inferior frontal regions (P = .023, cluster-level corrected). CONCLUSION The abnormal perfusion fluctuations and connectivity alterations may underlie the mood fluctuations and cognitive and emotional dysregulation that characterize BD.
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Affiliation(s)
- Weiying Dai
- Computer Science, State University of New York at Binghamton, Binghamton, NY, USA
| | - Mingzhao Chen
- Computer Science, State University of New York at Binghamton, Binghamton, NY, USA
| | - Wenna Duan
- Computer Science, State University of New York at Binghamton, Binghamton, NY, USA
| | - Li Zhao
- Diagnostic Imaging and Radiology, Children's National Medical Center, Washington, D.C, USA
| | - Nicolas R Bolo
- Psychiatry, Beth Israel Deaconess Medical Center & Harvard Medical School, Boston, MA, USA
| | - Carol Tamminga
- Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Brett A Clementz
- Psychology and Neuroscience, University of Georgia, Athens, GA, USA
| | | | - David C Alsop
- Radiology, Beth Israel Deaconess Medical Center & Harvard Medical School, Boston, MA, USA
| | - Matcheri Keshavan
- Psychiatry, Beth Israel Deaconess Medical Center & Harvard Medical School, Boston, MA, USA
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36
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Sun N, Li Y, Zhang A, Yang C, Liu P, Liu Z, Wang Y, Jin R, Zhang K. Fractional amplitude of low-frequency fluctuations and gray matter volume alterations in patients with bipolar depression. Neurosci Lett 2020; 730:135030. [PMID: 32389612 DOI: 10.1016/j.neulet.2020.135030] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 04/27/2020] [Accepted: 04/30/2020] [Indexed: 11/25/2022]
Abstract
PURPOSE We used fractional amplitude of low-frequency fluctuations (fALFF) and gray matter volume (GMV) jointly to explore the mechanism of brain function and structure in unmedicated patients with bipolar disorder (BD). METHODS Thirty first episode drug-naive patients with and thirty healthy controls (HCs) were recruited in this study; All the subjects underwent Magnetic Resonance Imaging (MRI) scanning and performed the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), all the patients with MDD finished the 17-item Hamilton Depression Rating Scale (HAMD17). Data Processing and Analysis for Brain Imaging (DPABI) and SPM8 were used to find potential differences in fALFF and GMV between the two groups. A Pearson correlation model was used to analyze associations of functional and morphometric changes with clinical symptoms and cognitive tests. RESULTS Compared to healthy controls, the BD group had significantly reduced fALFF values in the lingual gyrus and increased fALFF values in the bilateral superior frontal gyrus and superior frontal gyrus. With regards to VBM, patients with BD showed significant GMV decreases in the bilateral superior temporal gyrus, bilateral superior frontal gyrus, right superior frontal gyrus, right parahippocampal gyrus and precuneus. Additionally, we found an overlap of brain regions focused on the left SFG. Significant negative correlations were observed between abnormal GMV values in the left SFG and vocabulary memory. CONCLUSION The superior frontal gyrus was the site of the most robust and reliable abnormality, with an overlap of abnormal structural and functional MRI features that play an important role in pathology in BD.
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Affiliation(s)
- Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China; Nursing College of Shanxi Medical University, Taiyuan, China
| | - Yening Li
- Department of Psychiatry, First Hospital of 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
| | - Zhifen Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yanfang Wang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Ruihua Jin
- Nursing College of Shanxi Medical University, Taiyuan, China.
| | - Kerang Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China.
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Liu Y, Xiong H, Li X, Zhang D, Yang C, Yu J, Liao R, Zhou B, Huang X, Tang Z. Abnormal Baseline Brain Activity in Neuromyelitis Optica Patients Without Brain Lesion Detected by Resting-State Functional Magnetic Resonance Imaging. Neuropsychiatr Dis Treat 2020; 16:71-79. [PMID: 32021200 PMCID: PMC6955618 DOI: 10.2147/ndt.s232924] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 12/23/2019] [Indexed: 01/03/2023] Open
Abstract
OBJECTIVE To investigate the baseline brain activity in neuromyelitis optica patients without brain lesion using the regional amplitude of low-frequency fluctuation (ALFF) and fractional amplitude of low-frequency fluctuation (fALFF) as indexes. MATERIALS AND METHODS Forty-two patients of NMO with normal performance in conventional MRI and 42 healthy controls, matched in gender and age, were enrolled in this study. Resting-state functional magnetic resonance imaging (rs-fMRI) data acquired using the rs-fMRI Data Analysis Toolkit. The relationships between expanded disability states scale (EDSS) scores, abnormal baseline brain activity and disease duration were explored. RESULTS The left inferior temporal, left cerebellum_4_5, bilateral superior temporal pole, left caudate, right superior temporal, left middle frontal and left superior occipital showed significantly increased ALFF in the NMO. Regions of abnormal fALFF were similar to those of ALFF except that increased fALFF were also indicated in the right cerebellum crus2, right hippocampus, left parahippocampal gyrus and left supplementary motor area. Furthermore, a significant correlation between EDSS scores and ALFF/fALFF was noted in the left inferior temporal gyrus. CONCLUSION Results confirmed the disturbances in NMO-related neural networks, which probably be related to spinal cord damage.
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Affiliation(s)
- Yi Liu
- Department of Radiology, Peking University First Hospital, Beijing 100034, People's Republic of China
| | - Hua Xiong
- Department of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, People's Republic of China.,Molecular and Functional Imaging Laboratory, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, People's Republic of China
| | - Xiaojiao Li
- Department of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, People's Republic of China.,Molecular and Functional Imaging Laboratory, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, People's Republic of China
| | - Dan Zhang
- Department of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, People's Republic of China.,Molecular and Functional Imaging Laboratory, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, People's Republic of China
| | - Chao Yang
- Department of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, People's Republic of China.,Molecular and Functional Imaging Laboratory, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, People's Republic of China
| | - Jiayi Yu
- Department of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, People's Republic of China.,Molecular and Functional Imaging Laboratory, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, People's Republic of China
| | - Ruikun Liao
- Department of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, People's Republic of China.,Molecular and Functional Imaging Laboratory, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, People's Republic of China
| | - Bi Zhou
- Department of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, People's Republic of China.,Molecular and Functional Imaging Laboratory, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, People's Republic of China
| | - Xianlong Huang
- Department of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, People's Republic of China.,Molecular and Functional Imaging Laboratory, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, People's Republic of China
| | - Zhuoyue Tang
- Department of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, People's Republic of China.,Molecular and Functional Imaging Laboratory, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, People's Republic of China
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Chai X, Zhang R, Xue C, Li Z, Xiao W, Huang Q, Xiao C, Xie S. Altered Patterns of the Fractional Amplitude of Low-Frequency Fluctuation in Drug-Naive First-Episode Unipolar and Bipolar Depression. Front Psychiatry 2020; 11:587803. [PMID: 33312139 PMCID: PMC7704435 DOI: 10.3389/fpsyt.2020.587803] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 10/12/2020] [Indexed: 12/18/2022] Open
Abstract
Background: An early and correct diagnosis is crucial for treatment of unipolar depression (UD) and bipolar disorder (BD). The fractional amplitude of low-frequency fluctuations (fALFFs) has been widely used in the study of neuropsychiatric diseases, as it can detect spontaneous brain activities. This study was conducted to survey changes of fALFF within various frequency bands of the UD and BD patients, as well as to explore the effects on changes in fALFF on cognitive function. Methods: In total, 58 drug-naive first-episode patients, including 32 UD and 26 BD, were enrolled in the study. The fALFF values were calculated under slow-5 band (0.01-0.027 Hz) and slow-4 band (0.027-0.073 Hz) among UD patients, BD patients, and healthy control (HC). Additionally, we conducted correlation analyses to examine the association between altered fALFF values and cognitive function. Results: Under the slow-5 band, compared to the HC group, the UD group showed increased fALFF values in the right cerebellum posterior lobe, whereas the BD group showed increased fALFF values in the left middle temporal gyrus (MTG). Under the slow-4 band, in comparison to HC, the UD group showed increased fALFF values in the left superior temporal gyrus, whereas the right inferior parietal lobule (IPL) and BD group showed increased fALFF values in the bilateral postcentral gyrus. Notably, compared to BD, the UD group showed increased fALFF values in the right IPL under the slow-4 band. Furthermore, altered fALFF values in the left MTG and the right IPL were significantly positively correlated with Verbal Fluency Test scores. Conclusions: This current study indicated that there were changes in brain activities in the early UD and BD groups, and changes were related to executive function. The fALFF values can serve as potential biomarker to diagnose and differentiate UD and BD patients.
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Affiliation(s)
- Xue Chai
- Department of Radiology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Rongrong Zhang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chen Xue
- Department of Radiology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Zonghong Li
- Department of Radiology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Wang Xiao
- Department of Radiology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Qingling Huang
- Department of Radiology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chaoyong Xiao
- Department of Radiology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Shiping Xie
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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Xiao M, Zhu W, Wei J, Lei X, Xia LX. The relationship among resting-state brain activity and connectivity, agreeableness and displaced aggression: Two possible mediation models. J Affect Disord 2019; 256:641-649. [PMID: 31299446 DOI: 10.1016/j.jad.2019.06.046] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 06/18/2019] [Accepted: 06/30/2019] [Indexed: 12/16/2022]
Abstract
BACKGROUND Displaced aggression is a specific form of attack prompted by rumination on anger experiences and revenge thought which might lead to expression of anger on innocent people. There is sufficient evidence demonstrating the potential role of agreeableness in reducing displaced aggression in theory. However, little is known about the neural basis of displaced aggression and how agreeableness and the underlying neural mechanisms link to displaced aggression. METHODS In this investigation, we examined these issues on 123 college students by assessing resting-state brain activity (i.e. amplitude of low-frequency fluctuation, ALFF) and connectivity (i.e. resting-state functional connectivity, RSFC). RESULTS Whole-brain correlation analysis revealed that a higher level of displaced aggression was linked with decreased ALFF in the left dorsomedial prefrontal cortex (dmPFC) and decreased RSFC between the left dmPFC and left ventromedial prefrontal cortex (vmPFC). Mediation analysis further revealed that left dmPFC activity and the left dmPFC-vmPFC connectivity mediated the relationship between agreeableness and displaced aggression, as well as agreeableness mediated the relation between left dmPFC activity and the left dmPFC-vmPFC connectivity and displaced aggression. LIMITATIONS Only ALFF and RSFC were used as indicators of brain function in this study. The two mediation models need to be further tested by longitudinal design or experimental methods in further studies. CONCLUSIONS This study suggested that dmPFC and vmPFC might be the functional neural markers of displaced aggression and provided two possible mediation models regarding the relationship among the resting-state brain activity and connectivity, agreeableness and displaced aggression.
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Affiliation(s)
- Mingyue Xiao
- Research Center of Psychology and Social Development, Southwest University, China; Key Laboratory of Cognition and Personality, Southwest University, Ministry of Education, China
| | - Wenfeng Zhu
- Research Center of Psychology and Social Development, Southwest University, China; Key Laboratory of Cognition and Personality, Southwest University, Ministry of Education, China
| | - Jiaming Wei
- Research Center of Psychology and Social Development, Southwest University, China; Key Laboratory of Cognition and Personality, Southwest University, Ministry of Education, China
| | - Xu Lei
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, China; Key Laboratory of Cognition and Personality, Southwest University, Ministry of Education, China.
| | - Ling-Xiang Xia
- Research Center of Psychology and Social Development, Southwest University, China; Key Laboratory of Cognition and Personality, Southwest University, Ministry of Education, China.
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Khaleghi A, Mohammadi MR, Moeini M, Zarafshan H, Fadaei Fooladi M. Abnormalities of Alpha Activity in Frontocentral Region of the Brain as a Biomarker to Diagnose Adolescents With Bipolar Disorder. Clin EEG Neurosci 2019; 50:311-318. [PMID: 30642197 DOI: 10.1177/1550059418824824] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Objectives. To investigate brain abnormalities in adolescents with new-onset bipolar disorder (BD) during acute hypomanic and depressive episodes using electroencephalogram (EEG) analysis and to derive a computer-based method for diagnosis of the disorder. Methods. EEG spectral power and entropy of 21 adolescents with BD (included 11 patients in the hypomanic episode and 10 patients in the depressive episode) and 18 healthy adolescents were compared. Moreover, using significant differences and K-nearest-neighbors (KNN) classifier, it was attempted to distinguish the BD adolescents from normal ones. Results. The BD adolescents had higher values of spectral power in all frequency bands, particularly in the frontocentral, mid-temporal, and right parietal regions. Also, spectral entropy had significantly increased in delta, alpha, and gamma frequency bands for BD. A high accuracy of 95.8% was achieved by all significant differences in the alpha band in discriminating adolescents with BD. The depressive state showed higher values of spectral power and entropy in low-frequency bands (delta and theta) compared to the hypomanic state. Conclusion. Based on BD symptoms, especially inattention, increased alpha power is a rational finding which is associated with thalamus dysfunction. Thus, it seems that EEG alpha oscillation is the main source of abnormality in BD. Furthermore, EEG slowing in the depressive episode is related to inhibition of electrical activity and reduced cognitive functions.
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Affiliation(s)
- Ali Khaleghi
- 1 Psychiatry & Psychology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Reza Mohammadi
- 1 Psychiatry & Psychology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahdi Moeini
- 1 Psychiatry & Psychology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Hadi Zarafshan
- 1 Psychiatry & Psychology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahbod Fadaei Fooladi
- 2 Department of Psychology and Educational Sciences, Allameh Tabatabai University, Tehran, Iran
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41
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Sato JR, Biazoli CE, Moura LM, Crossley N, Zugman A, Picon FA, Hoexter MQ, Amaro E, Miguel EC, Rohde LA, Bressan RA, Jackowski AP. Association Between Fractional Amplitude of Low-Frequency Spontaneous Fluctuation and Degree Centrality in Children and Adolescents. Brain Connect 2019; 9:379-387. [DOI: 10.1089/brain.2018.0628] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Affiliation(s)
- João Ricardo Sato
- Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, Santo Andre, Brazil
- Department of Psychiatry, Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de Sao Paulo (UNIFESP), Sao Paulo, Brazil
- Department of Radiology, School of Medicine, University of Sao Paulo, Sao Paulo, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents, CNPq, Sao Paulo, Brazil
| | | | - Luciana Monteiro Moura
- Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, Santo Andre, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents, CNPq, Sao Paulo, Brazil
| | - Nicolas Crossley
- Institute for Biological and Medical Engineering, Faculties of Engineering, Medicine and Biological Sciences, P. Catholic University of Chile, Santiago, Chile
| | - André Zugman
- Department of Psychiatry, Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de Sao Paulo (UNIFESP), Sao Paulo, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents, CNPq, Sao Paulo, Brazil
| | - Felipe Almeida Picon
- National Institute of Developmental Psychiatry for Children and Adolescents, CNPq, Sao Paulo, Brazil
- Department of Psychiatry, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
- Department of Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Marcelo Queiroz Hoexter
- Department of Psychiatry, Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de Sao Paulo (UNIFESP), Sao Paulo, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents, CNPq, Sao Paulo, Brazil
- Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Edson Amaro
- Department of Radiology, School of Medicine, University of Sao Paulo, Sao Paulo, Brazil
| | - Euripedes Constantino Miguel
- National Institute of Developmental Psychiatry for Children and Adolescents, CNPq, Sao Paulo, Brazil
- Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Luis Augusto Rohde
- National Institute of Developmental Psychiatry for Children and Adolescents, CNPq, Sao Paulo, Brazil
- Department of Psychiatry, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
- Department of Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Rodrigo Affonseca Bressan
- Department of Psychiatry, Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de Sao Paulo (UNIFESP), Sao Paulo, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents, CNPq, Sao Paulo, Brazil
| | - Andrea Parolin Jackowski
- Department of Psychiatry, Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de Sao Paulo (UNIFESP), Sao Paulo, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents, CNPq, Sao Paulo, Brazil
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Sato JR, Biazoli CE, Salum GA, Gadelha A, Crossley N, Vieira G, Zugman A, Picon FA, Pan PM, Hoexter MQ, Amaro E, Anés M, Moura LM, Del'Aquilla MAG, Mcguire P, Rohde LA, Miguel EC, Bressan RA, Jackowski AP. Associations between children's family environment, spontaneous brain oscillations, and emotional and behavioral problems. Eur Child Adolesc Psychiatry 2019; 28:835-845. [PMID: 30392120 DOI: 10.1007/s00787-018-1240-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2017] [Accepted: 10/20/2018] [Indexed: 12/31/2022]
Abstract
The family environment in childhood has a strong effect on mental health outcomes throughout life. This effect is thought to depend at least in part on modifications of neurodevelopment trajectories. In this exploratory study, we sought to investigate whether a feasible resting-state fMRI metric of local spontaneous oscillatory neural activity, the fractional amplitude of low-frequency fluctuations (fALFF), is associated with the levels of children's family coherence and conflict. Moreover, we sought to further explore whether spontaneous activity in the brain areas influenced by family environment would also be associated with a mental health outcome, namely the incidence of behavioral and emotional problems. Resting-state fMRI data from 655 children and adolescents (6-15 years old) were examined. The quality of the family environment was found to be positively correlated with fALFF in the left temporal pole and negatively correlated with fALFF in the right orbitofrontal cortex. Remarkably, increased fALFF in the temporal pole was associated with a lower incidence of behavioral and emotional problems, whereas increased fALFF in the orbitofrontal cortex was correlated with a higher incidence.
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Affiliation(s)
- João Ricardo Sato
- Center of Mathematics, Computation, and Cognition, Universidade Federal do ABC, Av. dos Estados, 5001, Bairro Bangu, Santo André, SP, CEP 09210-580, Brazil. .,Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de Sao Paulo (UNIFESP), São Paulo, Brazil. .,Department of Radiology, School of Medicine, University of Sao Paulo, São Paulo, Brazil. .,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil. .,Institute of Radiology (InRad), School of Medicine, University of Sao Paulo, São Paulo, Brazil.
| | - Claudinei Eduardo Biazoli
- Center of Mathematics, Computation, and Cognition, Universidade Federal do ABC, Av. dos Estados, 5001, Bairro Bangu, Santo André, SP, CEP 09210-580, Brazil.,Department of Radiology, School of Medicine, University of Sao Paulo, São Paulo, Brazil
| | - Giovanni Abrahão Salum
- Hospital de Clinicas de Porto Alegre and Department of Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil
| | - Ary Gadelha
- Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de Sao Paulo (UNIFESP), São Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil
| | | | - Gilson Vieira
- Bioinformatics Program, Institute of Mathematics and Statistics, University of Sao Paulo, São Paulo, Brazil.,Department of Radiology, School of Medicine, University of Sao Paulo, São Paulo, Brazil
| | - André Zugman
- Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de Sao Paulo (UNIFESP), São Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil
| | - Felipe Almeida Picon
- Hospital de Clinicas de Porto Alegre and Department of Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil
| | - Pedro Mario Pan
- Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de Sao Paulo (UNIFESP), São Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil
| | - Marcelo Queiroz Hoexter
- Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de Sao Paulo (UNIFESP), São Paulo, Brazil.,Department of Psychiatry, School of Medicine, University of Sao Paulo, São Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil
| | - Edson Amaro
- Institute of Radiology (InRad), School of Medicine, University of Sao Paulo, São Paulo, Brazil
| | - Mauricio Anés
- Hospital de Clinicas de Porto Alegre and Department of Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil
| | - Luciana Monteiro Moura
- Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de Sao Paulo (UNIFESP), São Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil
| | - Marco Antonio Gomes Del'Aquilla
- Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de Sao Paulo (UNIFESP), São Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil
| | - Philip Mcguire
- Institute of Psychiatry, King's College London, London, UK
| | - Luis Augusto Rohde
- Hospital de Clinicas de Porto Alegre and Department of Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil
| | - Euripedes Constantino Miguel
- Department of Psychiatry, School of Medicine, University of Sao Paulo, São Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil
| | - Rodrigo Affonseca Bressan
- Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de Sao Paulo (UNIFESP), São Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil
| | - Andrea Parolin Jackowski
- Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de Sao Paulo (UNIFESP), São Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (CNPq), São Paulo, Brazil
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Biazoli CE, Salum GA, Gadelha A, Rebello K, Moura LM, Pan PM, Brietzke E, Miguel EC, Rohde LA, Bressan RA, Jackowski AP, Sato JR. Socioeconomic status in children is associated with spontaneous activity in right superior temporal gyrus. Brain Imaging Behav 2019; 14:961-970. [DOI: 10.1007/s11682-019-00073-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
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44
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Chang M, Edmiston EK, Womer FY, Zhou Q, Wei S, Jiang X, Zhou Y, Ye Y, Huang H, Zuo XN, Xu K, Tang Y, Wang F. Spontaneous low-frequency fluctuations in the neural system for emotional perception in major psychiatric disorders: amplitude similarities and differences across frequency bands. J Psychiatry Neurosci 2019; 44:132-141. [PMID: 30810024 PMCID: PMC6397038 DOI: 10.1503/jpn.170226] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Growing evidence indicates both shared and distinct features of emotional perception in schizophrenia, bipolar disorder and major depressive disorder. In these disorders, alterations in spontaneous low-frequency fluctuations have been reported in the neural system for emotional perception, but the similarities and differences in the amplitude of low-frequency fluctuation (ALFF) across the 3 disorders are unknown. METHODS We compared ALFF and its signal balance in the neural system for emotional perception at 2 frequency bands (slow-5 and slow-4) in 119 participants with schizophrenia, 100 with bipolar disorder, 123 with major depressive disorder and 183 healthy controls. We performed exploratory Pearson partial correlation analyses to determine the relationship between ALFF signal balance and clinical variables. RESULTS We observed commonalities in ALFF change patterns across the 3 disorders for emotional perception neural substrates, such as increased ALFF in the anterior cerebrum (including subcortical, limbic, paralimbic and heteromodal cortical regions) and decreased ALFF in the posterior visual cortices. Schizophrenia, bipolar disorder and major depressive disorder showed significantly decreased ALFF signal balance in the neural system for emotional perception at both slow-5 and slow-4 frequency bands, with the greatest alterations for schizophrenia, followed by bipolar disorder and major depressive disorder. We found a negative correlation between ALFF signal balance and negative/disorganized symptoms in slow-4 across the 3 disorders. LIMITATIONS The relatively broad age range in our sample and the cross-sectional study design may not account for our findings. CONCLUSION The extent of the commonalities we observed further support the concept of core neurobiological disruptions shared among the 3 disorders; ALFF signal balance could be an important neuroimaging marker for the diagnosis and treatment of schizophrenia, bipolar disorder and major depressive disorder.
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Affiliation(s)
- Miao Chang
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Elliot K. Edmiston
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Fay Y. Womer
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Qian Zhou
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Shengnan Wei
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Xiaowei Jiang
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Yifang Zhou
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Yuting Ye
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Haiyan Huang
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Xi-Nian Zuo
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Ke Xu
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Yanqing Tang
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Fei Wang
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
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Identify abnormalities in resting-state brain function between first-episode, drug-naive major depressive disorder and remitted individuals: a 3-year retrospective study. Neuroreport 2019; 29:907-916. [PMID: 29912848 DOI: 10.1097/wnr.0000000000001054] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
This study aims to identify and characterize neurobiological markers for major depressive disorder (MDD) from resting-state brain functional MRI. We examined the abnormality in the regional homogeneity (ReHo) and amplitude of low-frequency fluctuation (ALFF) in first-episode, drug-naive major depressive disorder (fMDD), and remitted major depressive disorder (rMDD) and correlated these fluctuations with clinical markers of MDD. We conducted a retrospective study and reviewed the medical records of 43 patients with fMDD. Overall, 13 of the 43 patients who had at least 3 years of follow-up care and the 17-item Hamilton Depression rating scale less than 7 took no antidepressants for more than half a year at the end of the 3-year follow-up. We further chose a group of 14 healthy controls matched for age, sex and education level with patients with rMDD. Multiple comparison analysis was performed for ALFF and ReHo. The statistical significance level was set at P value of less than 0.05. We examined whether there were differences among the three groups in the whole-brain ALFF and ReHo during resting state. Compared with healthy controls, patients with fMDD showed significant decrease of ReHo in the right anterior lobe of cerebellum and significant increase of ReHo in the right inferior temporal gyrus, and significant decrease of ALFF in the left inferior parietal lobule and right caudate nucleus. Compared with patients with rMDD, those with fMDD showed significant increase of ReHo in the right fusiform gyrus and the left middle temporal gyrus, and significant increase of ALFF in the right superior temporal gyrus. Compared with healthy controls, patients with rMDD showed significant increase of ReHo in the right supramarginal and significant decrease of ReHo in the right precuneus, and significant decrease of ALFF in the right lingual gyrus and in the left superior frontal lobe. Only patients with fMDD showed the relatively robust increase in intrinsic activity of temporal gyrus. The temporal gyrus may play a critical role in depressive symptomatology. Abnormal right fusiform gyrus, left middle temporal gyrus, and right superior temporal gyrus alterations were present only in patients with rMDD but not in patients with fMDD, indicating that these alterations may be a therapeutic target for MDD. Abnormal right supramarginal, right precuneus, right lingual gyrus and left superior frontal lobe alterations were present only in patients with rMDD and not in healthy control, and thus may be used as a state marker of MDD.
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Kong F, Ma X, You X, Xiang Y. The resilient brain: psychological resilience mediates the effect of amplitude of low-frequency fluctuations in orbitofrontal cortex on subjective well-being in young healthy adults. Soc Cogn Affect Neurosci 2019; 13:755-763. [PMID: 29939335 PMCID: PMC6121151 DOI: 10.1093/scan/nsy045] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Accepted: 06/18/2018] [Indexed: 01/01/2023] Open
Abstract
Psychological resilience reflects the capacity to bounce back from stress, which plays an important role in health and well-being. However, less is known about the neural substrate for psychological resilience and the underlying mechanism for how psychological resilience enhances subjective well-being in the healthy brain. To investigate these issues, we employed fractional amplitude of low-frequency fluctuations (fALFF) measured with resting-state fMRI in 100 young healthy adults. The correlation analysis found that higher psychological resilience was related to lower fALFF in the left orbitofrontal cortex (OFC), which is involved in reward-related processing and emotion regulation. Furthermore, the mediation analysis indicated that psychological resilience acted as a full mediator of the association between the fALFF in left OFC and subjective well-being indicators (i.e. life satisfaction and hedonic balance). Importantly, these results remained significant after controlling for the effect of gray matter volume and regional homogeneity in the region. Overall, the present study provides the further evidence for functional neural substrates of psychological resilience and reveals a potential mechanism that psychological resilience mediates the effect of spontaneous brain activity on subjective well-being.
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Affiliation(s)
- Feng Kong
- School of Psychology, Shaanxi Normal University, China
| | - Xiaosi Ma
- School of Psychology, Shaanxi Normal University, China
| | - Xuqun You
- School of Psychology, Shaanxi Normal University, China
| | - Yanhui Xiang
- Department of Psychology, Hunan Normal University, China
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Gong J, Chen G, Jia Y, Zhong S, Zhao L, Luo X, Qiu S, Lai S, Qi Z, Huang L, Wang Y. Disrupted functional connectivity within the default mode network and salience network in unmedicated bipolar II disorder. Prog Neuropsychopharmacol Biol Psychiatry 2019; 88:11-18. [PMID: 29958116 DOI: 10.1016/j.pnpbp.2018.06.012] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Revised: 06/19/2018] [Accepted: 06/23/2018] [Indexed: 01/10/2023]
Abstract
BACKGROUND Recent studies demonstrate that functional disruption in resting-state networks contributes to cognitive and affective symptoms of bipolar disorder (BD), however, the functional connectivity (FC) pattern underlying BD II depression within the default mode network (DMN), salience network (SN), and frontoparietal network (FPN) is still not well understood. The primary aim of this study was to explore whether the pathophysiology of BD II derived from the pattern of FC within the DMN, SN, and FPN by using seed-based FC approach of resting-state functional magnetic resonance imaging (rs-fMRI). METHODS Ninety-six BD II patients and 100 HCs underwent rs-fMRI and three-dimensional structural data acquisition. All patients were either drug naive or unmedicated for at least 6 months. The following four regions of interest were used to conduct seed-based FC: the left posterior cingulate cortex (PCC) seed to probe the DMN, the left subgenual anterior cingulate cortex (sgACC) and amygdala seeds to probe the SN, the left dorsal lateral prefrontal cortex (dlPFC) seed to probe the FPN. RESULTS Compared with HCs, patients with BD II demonstrated hypoconnectivity of the left PCC to the bilateral medial prefrontal cortex (mPFC) and bilateral precuneus/PCC, and of the left sgACC to the right inferior temporal gyrus (ITG); nevertheless, the left amygdala and dlPFC had no within-network hypo- or hyperconnectivity to any other SN and FPN regions. CONCLUSION Our findings suggest that disrupted FC is located in the DMN and SN, especially in the PCC-mPFC and precuneus/PCC, and sgACC-ITG connectivity in BD II patients.
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Affiliation(s)
- JiaYing Gong
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Lianping Zhao
- Department of Radiology, Gansu Provincial Hospital, Gansu 730000, China
| | - Xiaomei Luo
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Shaojuan Qiu
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Shunkai Lai
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Zhangzhang Qi
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
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48
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Zhong S, Chen G, Zhao L, Jia Y, Chen F, Qi Z, Huang L, Wang Y. Correlation between Intrinsic Brain Activity and Thyroid-Stimulating Hormone Level in Unmedicated Bipolar II Depression. Neuroendocrinology 2019; 108:232-243. [PMID: 30673659 DOI: 10.1159/000497182] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Accepted: 01/21/2019] [Indexed: 11/19/2022]
Abstract
BACKGROUND/AIMS Although abnormalities of amplitude of low-frequency fluctuations (ALFF) and hormone levels of hypothalamus-pituitary-thyroid axis have been reported in patients with bipolar disorder (BD), the association between abnormal ALFF and serum thyroid hormone levels remains unknown. METHOD A total of 90 patients with unmedicated BD II depression and 100 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging, and then routine band (0.01-0.1 Hz), slow-5 band (0.01-0.027 Hz), and slow-4 band (0.027-0.073 Hz) ALFF analysis were performed. Additionally, serum thyroid hormone levels including free tri-iodothyronine (FT3), total tri-iodothyronine (TT3), free thyroxin (FT4), total thyroxin (TT4), and thyroid-stimulating hormone (TSH) were detected. The correlation between abnormal serum thyroid hormone levels and ALFF values in patients with BD II depression was calculated. RESULTS Compared with the HCs, patients with BD II depression showed decreased ALFF in bilateral precuneus (PCu)/posterior cingulate cortex (PCC) in routine and slow-4 frequency bands, decreased ALFF in the right PCu, and increased ALFF in the right middle occipital gyrus (MOG) in the slow-5 frequency band. Additionally, patients with BD II depression showed lower TSH level than HCs, and TSH level was positively correlated with ALFF values in the bilateral PCu/PCC in the routine frequency band. CONCLUSIONS These findings suggest that patients with BD II depression display intrinsic activity abnormalities, mainly in the PCu/PCC and MOG, which are associated with specific frequency bands. Moreover, altered intrinsic activity in the PCu/PCC may be related to TSH levels in bipolar II depression.
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Affiliation(s)
- 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
| | - Lianping Zhao
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China
- Department of Radiology, Gansu Provincial Hospital, Gansu, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Feng Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China
| | - Zhangzhang Qi
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China
- Institute of Molecular and Functional Imaging, 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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49
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Yang Y, Liu S, Jiang X, Yu H, Ding S, Lu Y, Li W, Zhang H, Liu B, Cui Y, Fan L, Jiang T, Lv L. Common and Specific Functional Activity Features in Schizophrenia, Major Depressive Disorder, and Bipolar Disorder. Front Psychiatry 2019; 10:52. [PMID: 30837901 PMCID: PMC6389674 DOI: 10.3389/fpsyt.2019.00052] [Citation(s) in RCA: 30] [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: 10/02/2018] [Accepted: 01/24/2019] [Indexed: 12/12/2022] Open
Abstract
Objectives: Schizophrenia (SZ), major depressive disorder (MDD), and bipolar disorder (BD) are serious mental disorders with distinct diagnostic criteria. They share common clinical and biological features. However, there are still only few studies on the common and specific brain imaging changes associated with the three mental disorders. Therefore, the aim of this study was to identify the common and specific functional activity and connectivity changes in SZ, MDD, and BD. Methods: A total of 271 individuals underwent functional magnetic resonance imaging: SZ (n = 64), MDD (n = 73), BD (n = 41), and healthy controls (n = 93). The symptoms of SZ patients were evaluated by the Positive and Negative Syndrome Scale. The Beck Depression Inventory (BDI), and Beck Anxiety Inventory (BAI) were used to evaluate the symptoms of MDD patients. The BDI, BAI, and Young Mania Rating Scale were used to evaluate the symptoms of MDD and BD patients. In addition, we compared the fALFF and functional connectivity between the three mental disorders and healthy controls using two sample t-tests. Results: Significantly decreased functional activity was found in the right superior frontal gyrus, middle cingulate gyrus, left middle frontal gyrus, and decreased functional connectivity (FC) of the insula was found in SZ, MDD, and BD. Specific fALFF changes, mainly in the ventral lateral pre-frontal cortex, striatum, and thalamus were found for SZ, in the left motor cortex and parietal lobe for MDD, and the dorsal lateral pre-frontal cortex, orbitofrontal cortex, and posterior cingulate cortex in BD. Conclusion: Our findings of common abnormalities in SZ, MDD, and BD provide evidence that salience network abnormality may play a critical role in the pathogenesis of these three mental disorders. Meanwhile, our findings also indicate that specific alterations in SZ, MDD, and BD provide neuroimaging evidence for the differential diagnosis of the three mental disorders.
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Affiliation(s)
- Yongfeng Yang
- Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.,Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.,Henan Key Laboratory of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
| | - Shu 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
| | - Xiaoyan Jiang
- Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Hongyan Yu
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Shuang Ding
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.,Henan Key Laboratory of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
| | - Yanli Lu
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.,Henan Key Laboratory of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
| | - Wenqiang Li
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.,Henan Key Laboratory of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
| | - Hongxing Zhang
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.,Henan Key Laboratory of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
| | - Bing 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.,University of Chinese Academy of Sciences, Beijing, China
| | - Yue Cui
- 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.,University of Chinese Academy of Sciences, Beijing, China
| | - Lingzhong Fan
- 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.,University of Chinese Academy of Sciences, Beijing, China
| | - Tianzi Jiang
- Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.,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.,University of Chinese Academy of Sciences, Beijing, China.,The Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
| | - Luxian Lv
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.,Henan Key Laboratory of Biological Psychiatry, Xinxiang Medical University, Xinxiang, China
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50
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Kotzalidis GD, Rapinesi C, Savoja V, Cuomo I, Simonetti A, Ambrosi E, Panaccione I, Gubbini S, De Rossi P, De Chiara L, Janiri D, Sani G, Koukopoulos AE, Manfredi G, Napoletano F, Caloro M, Pancheri L, Puzella A, Callovini G, Angeletti G, Del Casale A. Neurobiological Evidence for the Primacy of Mania Hypothesis. Curr Neuropharmacol 2018; 15:339-352. [PMID: 28503105 PMCID: PMC5405607 DOI: 10.2174/1570159x14666160708231216] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2016] [Revised: 05/23/2016] [Accepted: 05/24/2016] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Athanasios Koukopoulos proposed the primacy of mania hypothesis (PoM) in a 2006 book chapter and later, in two peer-reviewed papers with Nassir Ghaemi and other collaborators. This hypothesis supports that in bipolar disorder, mania leads to depression, while depression does not lead to mania. OBJECTIVE To identify evidence in literature that supports or falsifies this hypothesis. METHOD We searched the medical literature (PubMed, Embase, PsycINFO, and the Cochrane Library) for peer-reviewed papers on the primacy of mania, the default mode function of the brain in normal people and in bipolar disorder patients, and on illusion superiority until 6 June, 2016. Papers resulting from searches were considered for appropriateness to our objective. We adopted the PRISMA method for our review. The search for consistency with PoM was filtered through the neurobiological results of superiority illusion studies. RESULTS Out of a grand total of 139 records, 59 were included in our analysis. Of these, 36 were of uncertain value as to the primacy of mania hypothesis, 22 favoured it, and 1 was contrary, but the latter pooled patients in their manic and depressive phases, so to invalidate possible conclusions about its consistency with regard to PoM. All considered studies were not focused on PoM or superiority illusion, hence most of their results were, as expected, unrelated to the circuitry involved in superiority illusion. A considerable amount of evidence is consistent with the hypothesis, although indirectly so. LIMITATIONS Only few studies compared manic with depressive phases, with the majority including patients in euthymia. CONCLUSION It is possible that humans have a natural tendency for elation/optimism and positive self-consideration, that are more akin to mania; the depressive state could be a consequence of frustrated or unsustainable mania. This would be consistent with PoM.
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Affiliation(s)
- Georgios D Kotzalidis
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy
| | - Chiara Rapinesi
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy
| | - Valeria Savoja
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,ASL Roma 3, Rome, Italy
| | - Ilaria Cuomo
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Clinica Neuropsichiatrica Villa von Siebenthal, Genzano di Roma (Rome), Italy
| | - Alessio Simonetti
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Baylor College of Medicine, Houston, Texas, USA.,Centro Lucio Bini, Rome, Italy
| | - Elisa Ambrosi
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Baylor College of Medicine, Houston, Texas, USA
| | - Isabella Panaccione
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Centro Lucio Bini, Rome, Italy
| | - Silvia Gubbini
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Centro Lucio Bini, Rome, Italy.,USL Umbria 2, Terni, Italy
| | - Pietro De Rossi
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Centro Lucio Bini, Rome, Italy
| | - Lavinia De Chiara
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Centro Lucio Bini, Rome, Italy
| | - Delfina Janiri
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy
| | - Gabriele Sani
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Centro Lucio Bini, Rome, Italy
| | - Alexia E Koukopoulos
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Centro Lucio Bini, Rome, Italy
| | - Giovanni Manfredi
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Centro Lucio Bini, Rome, Italy
| | - Flavia Napoletano
- Core Trainee in Psychiatry, NELFT (North East London Foundation Trust), London, UK.,King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, 16 De Crespigny Park, London SE5 8AF London, UK
| | - Matteo Caloro
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy
| | | | | | - Gemma Callovini
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Department of Psychiatry, Federico II University, Naples, Italy
| | - Gloria Angeletti
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Centro Lucio Bini, Rome, Italy
| | - Antonio Del Casale
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Department of Psychiatric Rehabilitation, Father A. Mileno Onlus Foundation, San Francesco Institute, Vasto (Chieti), Italy
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