Frequency-Specific Analysis of the Dynamic Reconfiguration of the Brain in Patients with Schizophrenia
The analysis of resting-state fMRI signals usually focuses on the low-frequency range/band (0.01–0.1 Hz), which does not cover all aspects of brain activity. Studies have shown that distinct frequency bands can capture unique fluctuations in brain activity, with high-frequency signals (>0.1 Hz) p...
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MDPI AG
2022-06-01
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| Series: | Brain Sciences |
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| Online Access: | https://www.mdpi.com/2076-3425/12/6/727 |
| _version_ | 1797489401903710208 |
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| author | Yanli Yang Yang Zhang Jie Xiang Bin Wang Dandan Li Xueting Cheng Tao Liu Xiaohong Cui |
| author_facet | Yanli Yang Yang Zhang Jie Xiang Bin Wang Dandan Li Xueting Cheng Tao Liu Xiaohong Cui |
| author_sort | Yanli Yang |
| collection | DOAJ |
| description | The analysis of resting-state fMRI signals usually focuses on the low-frequency range/band (0.01–0.1 Hz), which does not cover all aspects of brain activity. Studies have shown that distinct frequency bands can capture unique fluctuations in brain activity, with high-frequency signals (>0.1 Hz) providing valuable information for the diagnosis of schizophrenia. We hypothesized that it is meaningful to study the dynamic reconfiguration of schizophrenia through different frequencies. Therefore, this study used resting-state functional magnetic resonance (RS-fMRI) data from 42 schizophrenia and 40 normal controls to investigate dynamic network reconfiguration in multiple frequency bands (0.01–0.25 Hz, 0.01–0.027 Hz, 0.027–0.073 Hz, 0.073–0.198 Hz, 0.198–0.25 Hz). Based on the time-varying dynamic network constructed for each frequency band, we compared the dynamic reconfiguration of schizophrenia and normal controls by calculating the recruitment and integration. The experimental results showed that the differences between schizophrenia and normal controls are observed in the full frequency, which is more significant in slow3. In addition, as visual network, attention network, and default mode network differ a lot from each other, they can show a high degree of connectivity, which indicates that the functional network of schizophrenia is affected by the abnormal brain state in these areas. These shreds of evidence provide a new perspective and promote the current understanding of the characteristics of dynamic brain networks in schizophrenia. |
| first_indexed | 2024-03-10T00:17:02Z |
| format | Article |
| id | doaj.art-72b57e1f9ec248f2981353bfcb06e9a6 |
| institution | Directory Open Access Journal |
| issn | 2076-3425 |
| language | English |
| last_indexed | 2024-03-10T00:17:02Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Brain Sciences |
| spelling | doaj.art-72b57e1f9ec248f2981353bfcb06e9a62023-11-23T15:50:27ZengMDPI AGBrain Sciences2076-34252022-06-0112672710.3390/brainsci12060727Frequency-Specific Analysis of the Dynamic Reconfiguration of the Brain in Patients with SchizophreniaYanli Yang0Yang Zhang1Jie Xiang2Bin Wang3Dandan Li4Xueting Cheng5Tao Liu6Xiaohong Cui7College of Information and Computer, Taiyuan University of Technology, No. 209, Daxue Street, Yuci District, Jinzhong 030024, ChinaCollege of Information and Computer, Taiyuan University of Technology, No. 209, Daxue Street, Yuci District, Jinzhong 030024, ChinaCollege of Information and Computer, Taiyuan University of Technology, No. 209, Daxue Street, Yuci District, Jinzhong 030024, ChinaCollege of Information and Computer, Taiyuan University of Technology, No. 209, Daxue Street, Yuci District, Jinzhong 030024, ChinaCollege of Information and Computer, Taiyuan University of Technology, No. 209, Daxue Street, Yuci District, Jinzhong 030024, ChinaCollege of Information and Computer, Taiyuan University of Technology, No. 209, Daxue Street, Yuci District, Jinzhong 030024, ChinaCollege of Information and Computer, Taiyuan University of Technology, No. 209, Daxue Street, Yuci District, Jinzhong 030024, ChinaCollege of Information and Computer, Taiyuan University of Technology, No. 209, Daxue Street, Yuci District, Jinzhong 030024, ChinaThe analysis of resting-state fMRI signals usually focuses on the low-frequency range/band (0.01–0.1 Hz), which does not cover all aspects of brain activity. Studies have shown that distinct frequency bands can capture unique fluctuations in brain activity, with high-frequency signals (>0.1 Hz) providing valuable information for the diagnosis of schizophrenia. We hypothesized that it is meaningful to study the dynamic reconfiguration of schizophrenia through different frequencies. Therefore, this study used resting-state functional magnetic resonance (RS-fMRI) data from 42 schizophrenia and 40 normal controls to investigate dynamic network reconfiguration in multiple frequency bands (0.01–0.25 Hz, 0.01–0.027 Hz, 0.027–0.073 Hz, 0.073–0.198 Hz, 0.198–0.25 Hz). Based on the time-varying dynamic network constructed for each frequency band, we compared the dynamic reconfiguration of schizophrenia and normal controls by calculating the recruitment and integration. The experimental results showed that the differences between schizophrenia and normal controls are observed in the full frequency, which is more significant in slow3. In addition, as visual network, attention network, and default mode network differ a lot from each other, they can show a high degree of connectivity, which indicates that the functional network of schizophrenia is affected by the abnormal brain state in these areas. These shreds of evidence provide a new perspective and promote the current understanding of the characteristics of dynamic brain networks in schizophrenia.https://www.mdpi.com/2076-3425/12/6/727frequency-specificmultilayer networkdynamic reconfiguration |
| spellingShingle | Yanli Yang Yang Zhang Jie Xiang Bin Wang Dandan Li Xueting Cheng Tao Liu Xiaohong Cui Frequency-Specific Analysis of the Dynamic Reconfiguration of the Brain in Patients with Schizophrenia Brain Sciences frequency-specific multilayer network dynamic reconfiguration |
| title | Frequency-Specific Analysis of the Dynamic Reconfiguration of the Brain in Patients with Schizophrenia |
| title_full | Frequency-Specific Analysis of the Dynamic Reconfiguration of the Brain in Patients with Schizophrenia |
| title_fullStr | Frequency-Specific Analysis of the Dynamic Reconfiguration of the Brain in Patients with Schizophrenia |
| title_full_unstemmed | Frequency-Specific Analysis of the Dynamic Reconfiguration of the Brain in Patients with Schizophrenia |
| title_short | Frequency-Specific Analysis of the Dynamic Reconfiguration of the Brain in Patients with Schizophrenia |
| title_sort | frequency specific analysis of the dynamic reconfiguration of the brain in patients with schizophrenia |
| topic | frequency-specific multilayer network dynamic reconfiguration |
| url | https://www.mdpi.com/2076-3425/12/6/727 |
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