Dysfunctional large-scale brain networks in drug-naïve depersonalization-derealization disorder patients
Abstract Background Depersonalization-Derealization Disorder (DPRD) presents challenges in understanding its neurobiological underpinnings. Several neuroimaging studies have revealed altered brain function and structure in DPRD. However, the knowledge about large-scale dysfunctional brain networks i...
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2025-01-01
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| Series: | BMC Psychiatry |
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| Online Access: | https://doi.org/10.1186/s12888-025-06497-w |
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| author | Sisi Zheng Mingkang Song Nan Song Hong Zhu Xue Li Dongqing Yin Shanshan Liu Yan Zhao Meng Fang Yanzhe Ning Hongxiao Jia |
| author_facet | Sisi Zheng Mingkang Song Nan Song Hong Zhu Xue Li Dongqing Yin Shanshan Liu Yan Zhao Meng Fang Yanzhe Ning Hongxiao Jia |
| author_sort | Sisi Zheng |
| collection | DOAJ |
| description | Abstract Background Depersonalization-Derealization Disorder (DPRD) presents challenges in understanding its neurobiological underpinnings. Several neuroimaging studies have revealed altered brain function and structure in DPRD. However, the knowledge about large-scale dysfunctional brain networks in DPRD remains unknown. Methods A total of 47 drug-naïve DPRD patients and 49 healthy controls (HCs) were recruited and underwent resting-state functional scanning. After constructing large-scale brain networks, we calculated within‐and between‐network functional connectivity (FC) using the Schaefer and Tian atlas. The Support Vector Machine (SVM) model was employed to classify DPRD patients and provide features for DPRD patients concerning the dysfunctional large-scale brain networks. Finally, the correlation analysis was performed between altered functional connectivity of large‐scale brain networks and scores of clinical assessments in DPRD patients. Results Compared to HCs, we found significantly decreased FCs, within-networks across four brain networks and between-networks involving 18 pairs of brain networks in DPRD patients. Moreover, our results revealed a satisfactory classification accuracy (80%) of these decreased FCs for correctly identifying DPRD patients. Notably, a significant negative correlation was observed between the 'Self' factor of the CDS and the FC within the somatosensory-motor network. Conclusion Overall, disrupted FC of large-scale brain networks may contribute to understanding neurobiological underpinnings in DPRD. Our findings may provide potential targets for therapeutic interventions. |
| format | Article |
| id | doaj-art-410f38beea0f420a9c59ffe21f813af9 |
| institution | Kabale University |
| issn | 1471-244X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Psychiatry |
| spelling | doaj-art-410f38beea0f420a9c59ffe21f813af92025-01-26T12:46:42ZengBMCBMC Psychiatry1471-244X2025-01-012511910.1186/s12888-025-06497-wDysfunctional large-scale brain networks in drug-naïve depersonalization-derealization disorder patientsSisi Zheng0Mingkang Song1Nan Song2Hong Zhu3Xue Li4Dongqing Yin5Shanshan Liu6Yan Zhao7Meng Fang8Yanzhe Ning9Hongxiao Jia10Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical UniversityBeijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical UniversityXiamen Xianyue Hospital, Xianyue Hospital Affiliated With Xiamen Medical College, Fujian Psychiatric Center, Fujian Clinical Research Center for Mental DisordersBeijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical UniversityBeijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical UniversityBeijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical UniversityBeijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical UniversityBeijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical UniversityBeijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical UniversityBeijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical UniversityBeijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical UniversityAbstract Background Depersonalization-Derealization Disorder (DPRD) presents challenges in understanding its neurobiological underpinnings. Several neuroimaging studies have revealed altered brain function and structure in DPRD. However, the knowledge about large-scale dysfunctional brain networks in DPRD remains unknown. Methods A total of 47 drug-naïve DPRD patients and 49 healthy controls (HCs) were recruited and underwent resting-state functional scanning. After constructing large-scale brain networks, we calculated within‐and between‐network functional connectivity (FC) using the Schaefer and Tian atlas. The Support Vector Machine (SVM) model was employed to classify DPRD patients and provide features for DPRD patients concerning the dysfunctional large-scale brain networks. Finally, the correlation analysis was performed between altered functional connectivity of large‐scale brain networks and scores of clinical assessments in DPRD patients. Results Compared to HCs, we found significantly decreased FCs, within-networks across four brain networks and between-networks involving 18 pairs of brain networks in DPRD patients. Moreover, our results revealed a satisfactory classification accuracy (80%) of these decreased FCs for correctly identifying DPRD patients. Notably, a significant negative correlation was observed between the 'Self' factor of the CDS and the FC within the somatosensory-motor network. Conclusion Overall, disrupted FC of large-scale brain networks may contribute to understanding neurobiological underpinnings in DPRD. Our findings may provide potential targets for therapeutic interventions.https://doi.org/10.1186/s12888-025-06497-wDepersonalization-derealization disorderfMRILarge-scale brain network |
| spellingShingle | Sisi Zheng Mingkang Song Nan Song Hong Zhu Xue Li Dongqing Yin Shanshan Liu Yan Zhao Meng Fang Yanzhe Ning Hongxiao Jia Dysfunctional large-scale brain networks in drug-naïve depersonalization-derealization disorder patients BMC Psychiatry Depersonalization-derealization disorder fMRI Large-scale brain network |
| title | Dysfunctional large-scale brain networks in drug-naïve depersonalization-derealization disorder patients |
| title_full | Dysfunctional large-scale brain networks in drug-naïve depersonalization-derealization disorder patients |
| title_fullStr | Dysfunctional large-scale brain networks in drug-naïve depersonalization-derealization disorder patients |
| title_full_unstemmed | Dysfunctional large-scale brain networks in drug-naïve depersonalization-derealization disorder patients |
| title_short | Dysfunctional large-scale brain networks in drug-naïve depersonalization-derealization disorder patients |
| title_sort | dysfunctional large scale brain networks in drug naive depersonalization derealization disorder patients |
| topic | Depersonalization-derealization disorder fMRI Large-scale brain network |
| url | https://doi.org/10.1186/s12888-025-06497-w |
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