The less complex temporal patterns of resting‑state EEG activity, the lower the visual temporal order threshold DOI Open Access
Monika Lewandowska, Krzysztof Tołpa, Marcin Hajnowski

и другие.

Acta Neurobiologiae Experimentalis, Год журнала: 2023, Номер unknown, С. 29 - 46

Опубликована: Ноя. 30, 2023

Speech understanding, watching a movie, listening to music etc., requires perception of the temporal order at least two incoming events. A history performing these tasks may be reflected in spontaneous brain activity. Here, we examined relationship between complexity (temporal dynamics) resting‑state EEG (rsEEG) signal, assessed using multivariate MultiScale Entropy (mMSE) algorithm, and event ordering, indexed by visual threshold (TOT), i.e., minimum duration necessary correctly identify before‑after relation stimuli. Healthy adolescents young adults performed psychophysical task measuring TOT underwent an eyes‑closed rsEEG study. The features mMSE vectors, namely area under curve (AUC) that represents total signal complexity, as well MaxSlope AvgEnt, corresponding entropy fine‑ coarse‑grained timescales, respectively, were obtained for central (midline), anterior, middle posterior channel sets. greater AUC AvgEnt values central, left right areas, higher region, TOT. most significant relationships found midline electrodes (Fz, Cz, Pz, Oz). There no correlations To best our knowledge, this is first study demonstrating associated with stimuli presented rapid succession. Our findings indicate low coarse levels are beneficial judgments.

Язык: Английский

The less complex temporal patterns of resting‑state EEG activity, the lower the visual temporal order threshold DOI Open Access
Monika Lewandowska, Krzysztof Tołpa, Marcin Hajnowski

и другие.

Acta Neurobiologiae Experimentalis, Год журнала: 2023, Номер unknown, С. 29 - 46

Опубликована: Ноя. 30, 2023

Speech understanding, watching a movie, listening to music etc., requires perception of the temporal order at least two incoming events. A history performing these tasks may be reflected in spontaneous brain activity. Here, we examined relationship between complexity (temporal dynamics) resting‑state EEG (rsEEG) signal, assessed using multivariate MultiScale Entropy (mMSE) algorithm, and event ordering, indexed by visual threshold (TOT), i.e., minimum duration necessary correctly identify before‑after relation stimuli. Healthy adolescents young adults performed psychophysical task measuring TOT underwent an eyes‑closed rsEEG study. The features mMSE vectors, namely area under curve (AUC) that represents total signal complexity, as well MaxSlope AvgEnt, corresponding entropy fine‑ coarse‑grained timescales, respectively, were obtained for central (midline), anterior, middle posterior channel sets. greater AUC AvgEnt values central, left right areas, higher region, TOT. most significant relationships found midline electrodes (Fz, Cz, Pz, Oz). There no correlations To best our knowledge, this is first study demonstrating associated with stimuli presented rapid succession. Our findings indicate low coarse levels are beneficial judgments.

Язык: Английский

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