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Comparative analysis of methods for calculating the interactions between the human brain regions based on resting-state fMRI data to build long-term cognitive architecturesстатья Исследовательская статья
Информация о цитировании статьи получена из
Scopus
Дата последнего поиска статьи во внешних источниках: 4 марта 2022 г.
- Авторы: Poyda A.A., Sharaev M.G., Orlov V.A., Kozlov S.O., Ushakov V.L.
- Сборник: Advances in Intelligent Systems and Computing
- Серия: 11th Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, BICA*AI 2020; Natal; Brazil; 10 November 2020 14 November 2020;
- Том: 1310
- Глава в коллективной монографии
- Год издания: 2021
- Место издания: Springer Science and Business Media Deutschland GmbH Natal; Brazil
- Первая страница: 380
- Последняя страница: 390
- DOI: 10.1007/978-3-030-65596-9_46
- Аннотация: In this work, we compared many different methods proposed for calculating the functional interaction of brain regions based on resting-state fMRI data. We compared them according to the criterion of the stability of the results to small changes in the parameters of both the methods themselves and the input data including different levels of noise. By stability, here we mean that small changes in the parameters and level of noise will lead to small changes in the obtained estimates of the interaction. Since fMRI has a temporal resolution of about 2 s, here we focused on long-term architectures (400 s or more). Our study revealed that measures of Correlation and Coherence families show slightly better values for sustainability. This is in a good agreement with the result obtained earlier on synthetic fMRI data when evaluating medium-strength connections, that may be characteristic of resting-state.
- Добавил в систему: Ушаков Вадим Леонидович