Publication details

Funkční mozkové mikrostavy u pacientů s hraniční poruchou osobnosti

Title in English Functional brain microstates in patients with borderline personality disorder
Authors

DAMBORSKÁ Alena SVĚRÁK Tomáš LAMOŠ Martin LINHARTOVÁ Pavla

Year of publication 2022
Type Appeared in Conference without Proceedings
MU Faculty or unit

Faculty of Medicine

Citation
Description Introduction: borderline personality disorder (BPD) is a common and severe psychiatric disorder. Results of recent imaging studies demonstrate impaired activity of resting-state brain networks in frontolimbic circuits in patients with HPO. The activity of large-scale brain networks can be studied using electroencephalography (EEG) by analyzing functional EEG brain microstates. In recent years, this method has shown promise as a tool to identify EEG correlates of neural abnormalities in psychiatric disorders. However, it has not yet been used to study the neural basis of HPO. A microstate is a global state of brain activity lasting about 100 ms, characterized by a stable topography of the potential distribution on the scalp. The aim of this pilot study was to identify abnormalities in microstate dynamics in patients with HPO. Methods: five healthy controls and five patients with a diagnosis of HPO participated in the study. We analyzed a six-minute recording of resting brain activity captured using a 256-channel EEG system. We assessed the temporal characteristics of microstates in patients and controls. Results: six microstates (1-6) differing in potential distribution on the scalp were identified. Temporal coverage indicates what percentage of the total length of the EEG recording is covered by a given microstate. In patients vs. controls, the average temporal coverage of each microstate was as follows: 24±7% vs. 28±7% (1), 11±6% vs. 7±3% (2), 14±4% vs. 9±3% (3), 17±4% vs. 25±8% (4), 11±5% vs. 7±4% (5), 20±8% vs. 22±7% (6). Conclusion. In contrast, the remaining three microstates had higher coverage in patients than in controls. The pilot results suggest possible abnormalities in the dynamics of resting large-scale brain networks in HPO patients. The finding will be verified in a larger cohort allowing statistical processing.
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