4.6 Article

Impaired functional cortical networks in the theta frequency band of patients with post-traumatic stress disorder during auditory-cognitive processing

期刊

FRONTIERS IN PSYCHIATRY
卷 13, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fpsyt.2022.811766

关键词

post-traumatic stress disorder (PSTD); electroencephalogram; cognitive function; functional cortical networks; theta frequency band

资金

  1. Institute for Information & Communications Technology Planning & Evaluation (IITP)-Korean government [2017-0-00451]
  2. Basic Science Research Program through National Research Foundation of Korea (NRF)-Ministry of Education [NRF-2020R1A4A1017775, NRF-2019R1I1A1A01063313]
  3. Korea Medical Device Development Fund by Korea government (Ministry of Science and ICT) [2017-0-00451, KMDF_PR_20200901_0169]
  4. Korea Medical Device Development Fund by Korea government (Ministry of Trade, Industry, and Energy) [2017-0-00451, KMDF_PR_20200901_0169]
  5. Korea Medical Device Development Fund by Korea government (Ministry of Health and Welfare) [2017-0-00451, KMDF_PR_20200901_0169]
  6. Korea Medical Device Development Fund by Korea government (Ministry of Food and Drug Safety) [2017-0-00451, KMDF_PR_20200901_0169]
  7. Brain Research Program through National Research Foundation of Korea (NRF)-Ministry of Science, ICT, and Future Planning [1711138348]
  8. Korea University

向作者/读者索取更多资源

This study investigated the brain mechanism involved in cognitive impairment in patients with post-traumatic stress disorder (PTSD) using electroencephalogram (EEG) and graph theory analysis. The results showed reduced spectral powers and altered network indices in PTSD patients compared to healthy controls, particularly in the theta frequency band. The disrupted network patterns in PTSD patients provide insights into the neuropathophysiology underlying cognitive impairments in this population.
Impaired cognitive function related to intrusive memories of traumatic experiences is the most noticeable characteristic of post-traumatic stress disorder (PTSD); nevertheless, the brain mechanism involved in the cognitive processing is still elusive. To improve the understanding of the neuropathology in PTSD patients, we investigated functional cortical networks that are based on graph theory, by using electroencephalogram (EEG). EEG signals, elicited by an auditory oddball paradigm, were recorded from 53 PTSD patients and 39 healthy controls (HCs). Source signals in 68 regions of interests were estimated using EEG data for each subject using minimum-norm estimation. Then, using source signals of each subject, time-frequency analysis was conducted, and a functional connectivity matrix was constructed using the imaginary part of coherence, which was used to evaluate three global-level (strength, clustering coefficient, and path length) and two nodal-level (strength and clustering coefficients) network indices in four frequency bands (theta, alpha, low-beta, and high-beta). The relationships between the network indices and symptoms were evaluated using Pearson's correlation. Compared with HCs, PTSD patients showed significantly reduced spectral powers around P300 periods and significantly altered network indices (diminished strength and clustering coefficient, and prolonged path length) in theta frequency band. In addition, the nodal strengths and nodal clustering coefficients in theta band of PTSD patients were significantly reduced, compared with those of HCs, and the reduced nodal clustering coefficients in parieto-temporo-occipital regions had negative correlations with the symptom scores (Impact of Event Scale-Revises, Beck Depression Inventory, and Beck Anxiety Inventory). The characterization of this disrupted pattern improves the understanding of the neuropathophysiology underlying the impaired cognitive function in PTSD patients.

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