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Podwalski P, Dawidowski B, Lipiński K, Franczak Ł, Wysocki P, Jabłoński M, Jędrzejewski A, Plichta P, Tyburski E, Zwarzany Ł, Szewczuk-Bogusławska M, Misiak B, Poncyljusz W, Samochowiec J. The mediating role of the parietal-prefrontal white matter network between trauma experience and anxiety symptoms in individuals with borderline personality disorder: Findings from neuroimaging studies. Psychiatry Res Neuroimaging 2025; 349:111987. [PMID: 40203546 DOI: 10.1016/j.pscychresns.2025.111987] [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: 01/28/2025] [Revised: 03/16/2025] [Accepted: 03/30/2025] [Indexed: 04/11/2025]
Abstract
BACKGROUND Borderline personality disorder (BPD) is linked to impairments in white matter (WM) integrity, with traumatic experiences (TE) playing a key role in its development. As TE can affect brain structure, this study examined the parietal-prefrontal WM pathway, focusing on the superior longitudinal fasciculus (SLF), the longest association bundle, to explore WM integrity impairments and their link to BPD symptoms. METHODOLOGY The study included 90 women (47 with BPD, 43 healthy controls). Participants underwent psychopathology assessments and diffusion tensor imaging (DTI) to measure WM integrity. Mean fractional anisotropy (FA) values were calculated for SLF subdivisions (SLF I, II, III). BPD symptoms were evaluated using the Five-Factor Borderline Inventory. RESULTS Healthy controls showed significantly higher FA in the left SLF I and a trend toward higher FA in the left SLF III compared to BPD. Left SLF I FA mediated the link between trauma (e.g., sexual harassment, emotional/physical abuse) and BPD symptoms (despondence, fragility). Left SLF III FA mediated the relationship between sexual harassment and anxious uncertainty. CONCLUSION The SLF mediates the impact of TE on anxiety and depression in BPD, highlighting neurobiological mechanisms and potential research directions.
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Affiliation(s)
- Piotr Podwalski
- Department of Psychiatry, Pomeranian Medical University, Broniewskiego 26, 71-460 Szczecin, , Poland.
| | - Bartosz Dawidowski
- Department of Psychiatry, Pomeranian Medical University, Broniewskiego 26, 71-460 Szczecin, , Poland
| | - Kamil Lipiński
- Institute of Radioelectronics and Multimedia Technology, Faculty of Electronics and Information Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, , Poland
| | - Łukasz Franczak
- Department of Psychiatry, Pomeranian Medical University, Broniewskiego 26, 71-460 Szczecin, , Poland
| | - Patryk Wysocki
- Department of Psychiatry, Pomeranian Medical University, Broniewskiego 26, 71-460 Szczecin, , Poland
| | - Marcin Jabłoński
- Department of Psychiatry, Pomeranian Medical University, Broniewskiego 26, 71-460 Szczecin, , Poland
| | - Adam Jędrzejewski
- Department of Health Psychology, Pomeranian Medical University, Broniewskiego 26, Szczecin, 71-457, Poland
| | - Piotr Plichta
- Department of Health Psychology, Pomeranian Medical University, Broniewskiego 26, Szczecin, 71-457, Poland
| | - Ernest Tyburski
- Department of Health Psychology, Pomeranian Medical University, Broniewskiego 26, Szczecin, 71-457, Poland
| | - Łukasz Zwarzany
- Department of Diagnostic Imaging and Interventional Radiology, Pomeranian Medical University, Unii Lubelskiej 1, 71-252 Szczecin, Poland
| | | | - Błażej Misiak
- Department of Psychiatry, Wroclaw Medical University, L. Pasteura 10, 50-367 Wroclaw, Poland
| | - Wojciech Poncyljusz
- Department of Diagnostic Imaging and Interventional Radiology, Pomeranian Medical University, Unii Lubelskiej 1, 71-252 Szczecin, Poland
| | - Jerzy Samochowiec
- Department of Psychiatry, Pomeranian Medical University, Broniewskiego 26, 71-460 Szczecin, , Poland
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Flinkenflügel K, Borgers T, Klug M, Mummendey MM, Leehr EJ, Meinert S, Gruber M, Repple J, Kircher T, Opel N, Bauer J, Zwiky E, König P, Küttner A, Schöniger K, Kamrla R, Dannlowski U, Enneking V, Redlich R. Longitudinal associations between white matter integrity, early life adversities, and treatment response following cognitive-behavioral therapy in depression. Neuropsychopharmacology 2025:10.1038/s41386-025-02070-x. [PMID: 40011705 DOI: 10.1038/s41386-025-02070-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2024] [Revised: 01/16/2025] [Accepted: 02/10/2025] [Indexed: 02/28/2025]
Abstract
Cognitive-behavioral therapy (CBT) is a primary treatment for depression. Although previous research has underscored the significant roles of white matter (WM) alterations and maladaptive parenting in depression risk, their associations with CBT response remain largely unknown. This longitudinal study investigated the interplay of WM integrity changes over time, treatment response, and parenting style in patients with depression. Diffusion-tensor-imaging and clinical data were assessed in n = 65 (55% female) patients with depression before and after 20 CBT sessions and n = 65 (68% female) healthy controls (HC) in a naturalistic design. Linear-mixed-effect models compared changes in fractional anisotropy (FA) between groups and tested associations between FA changes and symptom changes. It was investigated whether parenting style predicts depressive symptoms at follow-up and whether FA changes mediate this association. Patients showed differential FA changes over time in the corpus callosum and corona radiata compared to HC (ptfce-FWE = 0.008). Increases in FA in the corpus callosum, corona radiata and superior longitudinal fasciculus were linked to symptom improvement after CBT in patients (ptfce-FWE = 0.023). High parental care (pFDR = 0.010) and low maternal overprotection (pFDR = 0.001) predicted fewer depressive symptoms at follow-up. The association between maternal overprotection and depressive symptoms at follow-up was mediated by FA changes (pFDR = 0.044). Robustness checks-controlling for outliers, non-linear age effects, clinical characteristics, and patient subgroups-supported these results. Overall, patients with depression show changes in WM integrity following CBT, which are linked to treatment response. The results highlight the significance of early life adversities and related microstructural changes in the effectiveness of CBT for treating depression.
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Affiliation(s)
- Kira Flinkenflügel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tiana Borgers
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Melissa Klug
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Marie M Mummendey
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Elisabeth J Leehr
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Marius Gruber
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
| | - Jonathan Repple
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Nils Opel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry and Psychotherapy, University Hospital Jena, Jena, Germany
- German Center for Mental Health (DZPG), Halle-Jena-Magdeburg, Halle, Germany
| | - Jochen Bauer
- Department of Radiology, University of Münster, Münster, Germany
| | - Esther Zwiky
- German Center for Mental Health (DZPG), Halle-Jena-Magdeburg, Halle, Germany
- Department of Psychology, University of Halle, Halle, Germany
| | - Philine König
- Department of Psychology, University of Halle, Halle, Germany
| | - Antonia Küttner
- Department of Psychology, University of Halle, Halle, Germany
| | | | - Robin Kamrla
- Department of Psychology, University of Halle, Halle, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Verena Enneking
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Ronny Redlich
- Institute for Translational Psychiatry, University of Münster, Münster, Germany.
- German Center for Mental Health (DZPG), Halle-Jena-Magdeburg, Halle, Germany.
- Department of Psychology, University of Halle, Halle, Germany.
- Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Halle-Jena-Magdeburg, Halle, Germany.
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Flinkenflügel K, Meinert S, Hirtsiefer C, Grotegerd D, Gruber M, Goltermann J, Winter NR, Stein F, Brosch K, Leehr EJ, Böhnlein J, Dohm K, Bauer J, Redlich R, Hahn T, Repple J, Opel N, Nitsch R, Jamalabadi H, Straube B, Alexander N, Jansen A, Nenadić I, van den Heuvel MP, Kircher T, Dannlowski U. Associations between white matter microstructure and cognitive decline in major depressive disorder versus controls in Germany: a prospective case-control cohort study. Lancet Psychiatry 2024; 11:899-909. [PMID: 39419563 DOI: 10.1016/s2215-0366(24)00291-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 08/18/2024] [Accepted: 09/04/2024] [Indexed: 10/19/2024]
Abstract
BACKGROUND Cognitive deficits are a key source of disability in individuals with major depressive disorder (MDD) and worsen with disease progression. Despite their clinical relevance, the underlying mechanisms of cognitive deficits remain poorly elucidated, hampering effective treatment strategies. Emerging evidence suggests that alterations in white matter microstructure might contribute to cognitive dysfunction in MDD. We aimed to investigate the complex association between changes in white matter integrity, cognitive decline, and disease course in MDD in a comprehensive longitudinal dataset. METHODS In the naturalistic, observational, prospective, case-control Marburg-Münster Affective Disorders Cohort Study, individuals aged 18-65 years and of Caucasian ancestry were recruited from local psychiatric hospitals in Münster and Marburg, Germany, and newspaper advertisements. Individuals diagnosed with MDD and individuals without any history of psychiatric disorder (ie, healthy controls) were included in this subsample analysis. Participants had diffusion-weighted imaging, a battery of neuropsychological tests, and detailed clinical data collected at baseline and at 2 years of follow-up. We used linear mixed-effect models to compare changes in cognitive performance and white matter integrity between participants with MDD and healthy controls. Diffusion-weighted imaging analyses were conducted using tract-based spatial statistics. To correct for multiple comparisons, threshold free cluster enhancement (TFCE) was used to correct α-values at the family-wise error rate (FWE; ptfce-FWE). Effect sizes were estimated by conditional, partial R2 values (sr2) following the Nakagawa and Schielzeth method to quantify explained variance. The association between changes in cognitive performance and changes in white matter integrity was analysed. Finally, we examined whether the depressive disease course between assessments predicted cognitive performance at follow-up and whether white matter integrity mediated this association. People with lived experience were not involved in the research and writing process. FINDINGS 881 participants were selected for our study, of whom 418 (47%) had MDD (mean age 36·8 years [SD 13·4], 274 [66%] were female, and 144 [34%] were male) and 463 (53%) were healthy controls (mean age 35·6 years [13·5], 295 [64%] were female, and 168 [36%] were male). Baseline assessments were done between Sept 11, 2014, and June 3, 2019, and after a mean follow-up of 2·20 years (SD 0·19), follow-up assessments were done between Oct 6, 2016, and May 31, 2021. Participants with MDD had lower cognitive performance than did healthy controls (p<0·0001, sr2=0·056), regardless of timepoint. Analyses of diffusion-weighted imaging indicated a significant diagnosis × time interaction with a steeper decline in white matter integrity of the superior longitudinal fasciculus over time in participants with MDD than in healthy controls (ptfce-FWE=0·026, sr2=0·002). Furthermore, cognitive decline was robustly associated with the decline in white matter integrity over time across both groups (ptfce-FWE<0·0001, sr2=0·004). In participants with MDD, changes in white matter integrity (p=0·0040, β=0·071) and adverse depressive disease course (p=0·0022, β=-0·073) independently predicted lower cognitive performance at follow-up. INTERPRETATION Alterations of white matter integrity occurred over time to a greater extent in participants with MDD than in healthy controls, and decline in white matter integrity was associated with a decline in cognitive performance across groups. Our findings emphasise the crucial role of white matter microstructure and disease progression in depression-related cognitive dysfunction, making both priority targets for future treatment development. FUNDING German Research Foundation (DFG).
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Affiliation(s)
- Kira Flinkenflügel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany; Institute for Translational Neuroscience, University of Münster, Münster, Germany.
| | | | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Marius Gruber
- Institute for Translational Psychiatry, University of Münster, Münster, Germany; Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
| | - Janik Goltermann
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Nils R Winter
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany; Institute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
| | - Elisabeth J Leehr
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Joscha Böhnlein
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Dohm
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Jochen Bauer
- Department of Radiology, University of Münster, Münster, Germany
| | - Ronny Redlich
- Institute for Translational Psychiatry, University of Münster, Münster, Germany; Department of Psychology, University of Halle, Halle, Germany; German Center for Mental Health (DZPG), Halle-Jena-Magdeburg, Germany
| | - Tim Hahn
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Jonathan Repple
- Institute for Translational Psychiatry, University of Münster, Münster, Germany; Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
| | - Nils Opel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany; German Center for Mental Health (DZPG), Halle-Jena-Magdeburg, Germany; Department of Psychiatry, Jena University Hospital/Friedrich-Schiller-University Jena, Jena, Germany
| | - Robert Nitsch
- Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Hamidreza Jamalabadi
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Benjamin Straube
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Nina Alexander
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany; Core-Facility Brainimaging, Faculty of Medicine, University of Marburg, Marburg, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Martijn P van den Heuvel
- Connectome Laboratory, Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands; Department of Child Psychiatry, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg, Marburg, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
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Ming Q, Zhang J, Cheng C, Dong D, Sun X, Zhong X, Chen W, Yao S. Trait-like white matter abnormalities in current and remitted depression. Psychiatry Res Neuroimaging 2022; 326:111544. [PMID: 36137479 DOI: 10.1016/j.pscychresns.2022.111544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 08/21/2022] [Accepted: 09/08/2022] [Indexed: 11/26/2022]
Abstract
Microstructural alterations to white matter (WM) have been implicated in the onset and recurrence of major depressive disorder (MDD). The present study aimed to identify trait-like WM abnormality in current and remitted depression, as well as changes to WM that could be specifically related to the state of clinical remission. Diffusion tensor imaging data were collected from 60 patients with medication-naive first episode current depression (cMDD), 41 patients with medication-naive remitted depression (rMDD), and 62 demographically-matched healthy control participants (HCs). Tract-based spatial statistics (TBSS) applied to the whole brain were used to detect microstructural differences of WM among the three groups. TBSS analyses showed that, compared with HCs, both the cMDD and rMDD groups exhibited significantly reduced FA values in the genus and body of the corpus callosum, and superior and anterior corona radiata, with no significant differences between the cMDD and rMDD groups. FA values in the corpus callosum were negatively correlated with the duration of illness in the rMDD group. Reduced WM integrity in the corpus callosum and corona radiata might reflect the trait markers of MDD, and could constitute a neuroanatomical marker of MDD.
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Affiliation(s)
- Qingsen Ming
- Department of Psychiatry, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, China
| | - Jing Zhang
- Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu 215137, China
| | - Chang Cheng
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Daifeng Dong
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Xiaoqiang Sun
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Xue Zhong
- School of Educational Science, Hunan Normal University, Changsha, Hunan 410081, China
| | - Wen Chen
- Department of Psychiatry, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, China
| | - Shuqiao Yao
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.
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Association of brain white matter microstructure with cognitive performance in major depressive disorder and healthy controls: a diffusion-tensor imaging study. Mol Psychiatry 2022; 27:1103-1110. [PMID: 34697453 PMCID: PMC9054669 DOI: 10.1038/s41380-021-01330-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 09/10/2021] [Accepted: 09/28/2021] [Indexed: 11/30/2022]
Abstract
Cognitive deficits are central attendant symptoms of major depressive disorder (MDD) with a crucial impact in patients' everyday life. Thus, it is of particular clinical importance to understand their pathophysiology. The aim of this study was to investigate a possible relationship between brain structure and cognitive performance in MDD patients in a well-characterized sample. N = 1007 participants (NMDD = 482, healthy controls (HC): NHC = 525) were selected from the FOR2107 cohort for this diffusion-tensor imaging study employing tract-based spatial statistics. We conducted a principal component analysis (PCA) to reduce neuropsychological test results, and to discover underlying factors of cognitive performance in MDD patients. We tested the association between fractional anisotropy (FA) and diagnosis (MDD vs. HC) and cognitive performance factors. The PCA yielded a single general cognitive performance factor that differed significantly between MDD patients and HC (P < 0.001). We found a significant main effect of the general cognitive performance factor in FA (Ptfce-FWE = 0.002) in a large bilateral cluster consisting of widespread frontotemporal-association fibers. In MDD patients this effect was independent of medication intake, the presence of comorbid diagnoses, the number of previous hospitalizations, and depressive symptomatology. This study provides robust evidence that white matter disturbances and cognitive performance seem to be associated. This association was independent of diagnosis, though MDD patients show more pronounced deficits and lower FA values in the global white matter fiber structure. This suggests a more general, rather than the depression-specific neurological basis for cognitive deficits.
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Guo Q, Duan J, Cai S, Zhang J, Chen T, Yang H. Desynchronized white matter function and structure in drug-naive first-episode major depressive disorder patients. Front Psychiatry 2022; 13:1082052. [PMID: 36713909 PMCID: PMC9874158 DOI: 10.3389/fpsyt.2022.1082052] [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: 10/27/2022] [Accepted: 12/21/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is a highly prevalent mental disease. Using magnetic resonance imaging (MRI), although numerous studies have revealed the alterations in structure and function of grey matter (GM), few studies focused on the synchronization of white matter (WM) structure and function in MDD. The aim of this study was to investigate whether functional and structural abnormalities of WM play an essential role in the neurobiological mechanisms of MDD. METHODS Gradient-echo imaging sequences at 3.0T were used to gather resting state functional MRI (rsfMRI) data, which were performed on 33 drug-naive first-episode MDD patients and 34 healthy controls (HCs). After data preprocessed, amplitude of low frequency fluctuation (ALFF) of WM was calculated. ALFF values in different frequency bands were analyzed, including typical (0.01-0.15 Hz) band, slow-4 (0.027-0.073 Hz) and slow-5 (0.01-0.027 Hz) bands. In addition, the fractional anisotropy (FA) values in WM in 23 patients and 26 HCs were examined using tract-based spatial statistics (TBSS) and tractography based on diffusion tensor imaging (DTI). Pearson correlation analysis was applied to analyze the relationships between ALFF values and Hamilton Depression Scale (HAMD) and Hamilton Anxiety Scale (HAMA). RESULTS Compared with the HCs, MDD patients showed decreased ALFF values in posterior thalamic radiation (PTR) and superior longitudinal fasciculus (SLF) in slow-5 frequency band, no significant differences of ALFF values were found in typical and slow-4 frequency bands. In addition, there were no significant differences in FA values with TBSS analysis as well as the number of fibers in PTR and SLF with tractography analysis between two groups. Further correlation analysis showed that the ALFF value in SLF was negatively correlated with HAMA-2 score (r = -0.548, p FDR = 0.037) in patients. CONCLUSION Our results indicated that WM dysfunction may be associated with the pathophysiological mechanism of depression. Our study also suggested that the functional damage of the WM may precedes the structural damage in first-episode MDD patients. Furthermore, for mental disorders, slow-5 frequency band may be a more sensitive functional indicator for early detection of abnormal spontaneous brain activity in WM.
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Affiliation(s)
- Qinger Guo
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Jingfeng Duan
- Department of Psychiatry, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Shuyang Cai
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Jiaxi Zhang
- School of Teacher Education, Zhejiang Normal University, Jinhua, China.,Key Laboratory of Intelligent Education Technology and Application of Zhejiang, Zhejiang Normal University, Jinhua, China
| | - Tao Chen
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Hong Yang
- Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
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