1
|
Gencheva TM, Valkov BV, Kandilarova SS, Maes MHJ, Stoyanov DS. Diagnostic value of structural, functional and effective connectivity in bipolar disorder. Acta Psychiatr Scand 2024. [PMID: 39137928 DOI: 10.1111/acps.13742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 07/25/2024] [Accepted: 07/26/2024] [Indexed: 08/15/2024]
Abstract
INTRODUCTION The aim of this systematic review is to assess the functional magnetic resonance imaging (fMRI) studies of bipolar disorder (BD) patients that characterize differences in terms of structural, functional, and effective connectivity between the patients with BD, patients with other psychiatric disorders and healthy controls as possible biomarkers for diagnosing the disorder using neuroimaging. METHODS Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), guidelines a systematic search for recent (since 2015) original studies on connectivity in bipolar disorder was conducted in PUBMED and SCOPUS. RESULTS A total of 60 studies were included in this systematic review: 20 of the structural connectivity, 33 of the functional connectivity, and only 7 of the studies focused on effective connectivity complied with the inclusion and exclusion criteria. DISCUSSION Despite the great heterogeneity in the findings, there are several trends that emerge. In structural connectivity studies, the main abnormalities in bipolar disorder patients were in the frontal gyrus, anterior, as well as posterior cingulate cortex and differences in emotion and reward-related networks. Cerebellum (vermis) to cerebrum functional connectivity was found to be the most common finding in BD. Moreover, prefrontal cortex and amygdala connectivity as part of the rich-club hubs were often reported to be disrupted. The most common findings based on effective connectivity were alterations in salience network, default mode network and executive control network. Although more studies with larger sample sizes are needed to ascertain altered brain connectivity as diagnostic biomarker, there is a perspective that the method could be used as a single marker of diagnosis in the future, and the process of adoption could be accelerated by using approaches such as semiunsupervised machine learning.
Collapse
Affiliation(s)
| | - Bozhidar V Valkov
- Faculty of Medicine, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Sevdalina S Kandilarova
- Department of Psychiatry and Medical Psychology, and Research Institute, Medical University of Plovdiv, Plovdiv, Bulgaria
- Research and Innovation Program for the Development of MU - PLOVDIV - (SRIPD-MUP), Creation of a Network of Research Higher Schools, National Plan For Recovery and Sustainability, European Union - NextGenerationEU, Plovdiv, Bulgaria
| | - Michael H J Maes
- Department of Psychiatry and Medical Psychology, and Research Institute, Medical University of Plovdiv, Plovdiv, Bulgaria
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
- Research and Innovation Program for the Development of MU - PLOVDIV - (SRIPD-MUP), Creation of a Network of Research Higher Schools, National Plan For Recovery and Sustainability, European Union - NextGenerationEU, Plovdiv, Bulgaria
| | - Drozdstoy S Stoyanov
- Department of Psychiatry and Medical Psychology, and Research Institute, Medical University of Plovdiv, Plovdiv, Bulgaria
- Research and Innovation Program for the Development of MU - PLOVDIV - (SRIPD-MUP), Creation of a Network of Research Higher Schools, National Plan For Recovery and Sustainability, European Union - NextGenerationEU, Plovdiv, Bulgaria
| |
Collapse
|
2
|
Wang H, Zhu R, Dai Z, Shao J, Xue L, Sun Y, Wang T, Liao Q, Yao Z, Lu Q. The altered temporal properties of dynamic functional connectivity associated with suicide attempt in bipolar disorders. Prog Neuropsychopharmacol Biol Psychiatry 2024; 129:110898. [PMID: 38030032 DOI: 10.1016/j.pnpbp.2023.110898] [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: 07/28/2023] [Revised: 09/15/2023] [Accepted: 11/16/2023] [Indexed: 12/01/2023]
Abstract
OBJECTIVE The suicide risk in bipolar disorder (BD) is the highest among psychiatric disorders, and the neurobiological mechanism of suicide in BD remains unclear. The study aimed to investigate the underlying relevance between the implicated abnormalities of dynamic functional connectivity (FC) and suicide attempt (SA) in BD. METHODS We used the sliding window method to analyze the dynamic FC patterns from resting-state functional MRI data in 81 healthy controls (HC) and 114 BD patients (50 with SA and 64 with none SA). Then, the temporal properties of dynamic FC and the relationship between altered measures and clinical variables were explored. RESULTS We found that one of the five captured brain functional states was more associated with SA. The SA patients showed significantly increased fractional window and dwell time in the suicide-related state, along with increased number of state transitions compared with none SA (NSA). In addition, the connections within subcortical network-subcortical network (SubC-SubC), default mode network-subcortical network (DMN-SubC), and attention network-subcortical network (AN-SubC) were significantly changed in SA patients relative to NSA and HC in the suicide-related state. Crucially, the above-altered measures were significantly correlated with suicide risk. CONCLUSIONS Our findings suggested that the impaired dynamic FC within SubC-SubC, DMN-SubC, and AN-SubC were the important underlying mechanism in understanding SA for BD patients. It highlights the temporal properties of whole-brain dynamic FC could serve as the valuable biomarker for suicide risk assessment in BD.
Collapse
Affiliation(s)
- Huan Wang
- School of Computer Science and Artificial Intelligence, Changzhou University, Changzhou 213164, China
| | - Rongxin Zhu
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Zhongpeng Dai
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Junneng Shao
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Li Xue
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Yurong Sun
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Ting Wang
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Qian Liao
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, 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; Child Development and Learning Science, Key Laboratory of Ministry of Education, China.
| |
Collapse
|
3
|
Sunaga M, Takei Y, Kato Y, Tagawa M, Suto T, Hironaga N, Sakurai N, Fukuda M. The Characteristics of Power Spectral Density in Bipolar Disorder at the Resting State. Clin EEG Neurosci 2023; 54:574-583. [PMID: 34677105 DOI: 10.1177/15500594211050487] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Bipolar disorder (BD) is a common psychiatric disorder, but its pathophysiology is not fully elucidated. The current study focused on its electrophysiological characteristics, especially power spectral density (PSD). Resting state with eyes opened magnetoencephalography data were collected from 21 patients with BD and 22 healthy controls. The whole brain's PSD was calculated from source reconstructed waveforms at each frequency band (delta: 1-3 Hz, theta: 4-7 Hz, alpha: 8-12 Hz, low beta: 13-19 Hz, high beta: 20-29 Hz, and gamma: 30-80 Hz). We compared PSD values on the marked vertices at each frequency band between healthy and patient groups using a Mann-Whitney rank test to examine the relationship between significantly different PSD and clinical measures. The PSD in patients with BD was significantly decreased in lower frequency bands, mainly in the default mode network (DMN) areas (bilateral medial prefrontal cortex, bilateral precuneus, left inferior parietal lobe, and right temporal cortex in the alpha band) and salience network areas (SAL; left anterior insula [AI] at the delta band, anterior cingulate cortex at the theta band, and right AI at the alpha band). No significant differences in PSD were observed at low beta and high beta. PSD was not correlated with age or other clinical scales. Altered PSDs of the DMN and SAL were observed in the delta, theta, and alpha bands. These alterations contribute to the vulnerability of BD through the disturbance of self-referential mental activity and switching between the default mode and frontoparietal networks.
Collapse
Affiliation(s)
- Masakazu Sunaga
- Gunma Prefectural Psychiatric Medical Center, Isesaki, Japan
| | - Yuichi Takei
- Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Yutaka Kato
- Gunma University Graduate School of Medicine, Maebashi, Japan
- Tsutsuji Mental Hospital, Tatebayashi, Japan
| | - Minami Tagawa
- Gunma Prefectural Psychiatric Medical Center, Isesaki, Japan
- Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Tomohiro Suto
- Gunma Prefectural Psychiatric Medical Center, Isesaki, Japan
| | | | - Noriko Sakurai
- Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Masato Fukuda
- Gunma University Graduate School of Medicine, Maebashi, Japan
| |
Collapse
|
4
|
Yang G, Ullah HMA, Parker E, Gorsi B, Libowitz M, Maguire C, King JB, Coon H, Lopez-Larson M, Anderson JS, Yandell M, Shcheglovitov A. Neurite outgrowth deficits caused by rare PLXNB1 mutation in pediatric bipolar disorder. Mol Psychiatry 2023; 28:2525-2539. [PMID: 37032361 DOI: 10.1038/s41380-023-02035-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 03/06/2023] [Accepted: 03/14/2023] [Indexed: 04/11/2023]
Abstract
Pediatric bipolar disorder (PBD) is a severe mood dysregulation condition that affects 0.5-1% of children and teens in the United States. It is associated with recurrent episodes of mania and depression and an increased risk of suicidality. However, the genetics and neuropathology of PBD are largely unknown. Here, we used a combinatorial family-based approach to characterize cellular, molecular, genetic, and network-level deficits associated with PBD. We recruited a PBD patient and three unaffected family members from a family with a history of psychiatric illnesses. Using resting-state functional magnetic resonance imaging (rs-fMRI), we detected altered resting-state functional connectivity in the patient as compared to an unaffected sibling. Using transcriptomic profiling of patient and control induced pluripotent stem cell (iPSC)-derived telencephalic organoids, we found aberrant signaling in the molecular pathways related to neurite outgrowth. We corroborated the presence of neurite outgrowth deficits in patient iPSC-derived cortical neurons and identified a rare homozygous loss-of-function PLXNB1 variant (c.1360C>C; p.Ser454Arg) responsible for the deficits in the patient. Expression of wild-type PLXNB1, but not the variant, rescued neurite outgrowth in patient neurons, and expression of the variant caused the neurite outgrowth deficits in cortical neurons from PlxnB1 knockout mice. These results indicate that dysregulated PLXNB1 signaling may contribute to an increased risk of PBD and other mood dysregulation-related disorders by disrupting neurite outgrowth and functional brain connectivity. Overall, this study established and validated a novel family-based combinatorial approach for studying cellular and molecular deficits in psychiatric disorders and identified dysfunctional PLXNB1 signaling and neurite outgrowth as potential risk factors for PBD.
Collapse
Affiliation(s)
- Guang Yang
- Department of Neurobiology, University of Utah, Salt Lake City, UT, USA
- Neuroscience Graduate Program, University of Utah, Salt Lake City, UT, USA
| | - H M Arif Ullah
- Department of Neurobiology, University of Utah, Salt Lake City, UT, USA
| | - Ethan Parker
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA
| | - Bushra Gorsi
- Department of Human Genetics, University of Utah, Salt Lake City, UT, USA
- Utah Center for Genetic Discovery, Salt Lake City, UT, USA
| | - Mark Libowitz
- Department of Neurobiology, University of Utah, Salt Lake City, UT, USA
| | - Colin Maguire
- Clinical & Translational Research Core, Utah Clinical & Translational Research Institute, Salt Lake City, UT, USA
| | - Jace B King
- Department of Radiology, University of Utah, Salt Lake City, UT, USA
| | - Hilary Coon
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Melissa Lopez-Larson
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
- Lopez-Larson and Associates, Park City, UT, USA
| | | | - Mark Yandell
- Department of Human Genetics, University of Utah, Salt Lake City, UT, USA
| | - Alex Shcheglovitov
- Department of Neurobiology, University of Utah, Salt Lake City, UT, USA.
- Neuroscience Graduate Program, University of Utah, Salt Lake City, UT, USA.
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA.
- Clinical & Translational Research Core, Utah Clinical & Translational Research Institute, Salt Lake City, UT, USA.
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA.
| |
Collapse
|
5
|
Fan D, He C, Liu X, Zang F, Zhu Y, Zhang H, Zhang H, Zhang Z, Xie C. Altered resting-state cerebral blood flow and functional connectivity mediate suicidal ideation in major depressive disorder. J Cereb Blood Flow Metab 2022; 42:1603-1615. [PMID: 35350926 PMCID: PMC9441724 DOI: 10.1177/0271678x221090998] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The relationships among cerebral blood flow (CBF), functional connectivity (FC) and suicidal ideation (SI) in major depressive disorder (MDD) patients have remained elusive. In this study, we characterized the changes in CBF and FC among 175 individuals including 47 MDD without SI (MDDNSI), 59 MDD with SI (MDDSI), and 69 healthy control (HC) who underwent arterial spin labeling and resting-state functional MRI scans. Then the voxel-wise CBF, seed-based FC and partial correlation analyses were measured. Mediation analysis was carried out to reveal the effects of FC on the association between CBF and behavioral performances in both subgroups. Results showed that CBF was higher in MDDSI patients in the bilateral precuneus compared to HC and MDDNSI participants. MDDSI patients exhibited enhanced FC in the prefrontal-limbic system and decreased FC in the sensorimotor cortex (SMC) relative to MDDNSI patients. CBF and FC were significantly correlated with clinical variables. More importantly, exploratory mediation analyses identified that abnormal FC can mediate the association between regional CBF and behavioral performances. These results highlight the potential role of precuneus gyrus, prefrontal-limbic system as well as SMC in the process of suicide and provide new insights into the neural mechanism underlying suicide in MDD patients.
Collapse
Affiliation(s)
- Dandan Fan
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Cancan He
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Xinyi Liu
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Feifei Zang
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Yao Zhu
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Haisan Zhang
- Xinxiang Key Laboratory of Multimodal Brain Imaging, Henan Provincial Mental Hospital, Xinxiang Medical University, Xinxiang, Henan, China.,Department of Psychiatry, Henan Provincial Mental Hospital, Xinxiang Medical University, Xinxiang, Henan, China
| | - Hongxing Zhang
- Xinxiang Key Laboratory of Multimodal Brain Imaging, Henan Provincial Mental Hospital, Xinxiang Medical University, Xinxiang, Henan, China.,Department of Psychiatry, Henan Provincial Mental Hospital, Xinxiang Medical University, Xinxiang, Henan, China.,Psychology School of Xinxiang Medical University, Xinxiang, Henan, China
| | - Zhijun Zhang
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China.,Neuropsychiatric Institute, Affiliated ZhongDa Hospital, Southeast University, Nanjing, Jiangsu, China.,The Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, Jiangsu, China
| | - Chunming Xie
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China.,Neuropsychiatric Institute, Affiliated ZhongDa Hospital, Southeast University, Nanjing, Jiangsu, China.,The Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, Jiangsu, China
| |
Collapse
|
6
|
Wang H, Zhu R, Tian S, Zhang S, Dai Z, Shao J, Xue L, Yao Z, Lu Q. Dynamic connectivity alterations in anterior cingulate cortex associated with suicide attempts in bipolar disorders with a current major depressive episode. J Psychiatr Res 2022; 149:307-314. [PMID: 35325759 DOI: 10.1016/j.jpsychires.2022.03.010] [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: 08/06/2021] [Revised: 03/03/2022] [Accepted: 03/07/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVE Considering that the physiological mechanism of the anterior cingulate cortex (ACC) in suicide brain remains elusive for bipolar disorder (BD) patients. The study aims to investigate the intrinsic relevance between ACC and suicide attempts (SA) through transient functional connectivity (FC). METHODS We enrolled 50 un-medicated BD patients with at least one SA, 67 none-suicide attempt patients (NSA) and 75 healthy controls (HCs). The sliding window approach was utilized to study the dynamic FC of ACC via resting-state functional MRI data. Subsequently, we probed into the temporal properties of dynamic FC and then estimated the relationship between dynamic characteristics and clinical variables using the Pearson correlation. RESULTS We found six distinct FC states in all populations, with one of them being more associated with SA. Compared with NSA and HCs, the suicide-related functional state showed significantly reduced dwell time in SA patients, accompanied by a significantly increased FC strength between the right ACC and the regions within the subcortical (SubC) network. In addition, the number of transitions was significantly increased in SA patients relative to other groups. All these altered indicators were significantly correlated with the suicide risk. CONCLUSIONS The results suggested that the dysfunction of ACC was relevant to SA from a dynamic FC perspective in BD patients. It highlights the temporal properties in dynamic FC of ACC that could be used as a putative target of suicide risk assessment for BD patients.
Collapse
Affiliation(s)
- Huan Wang
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Rongxin Zhu
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Shui Tian
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Siqi Zhang
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Zhongpeng Dai
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Junneng Shao
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Li Xue
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, China
| | - Zhijian Yao
- School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, 210096, China; 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; Child Development and Learning Science, Key Laboratory of Ministry of Education, China.
| |
Collapse
|
7
|
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.
Collapse
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;
| |
Collapse
|