Analysis of fMRI time series: Neutrosophic-Entropy Based Clustering Algorithm
Authors:
- Pritpal Singh,
- Marcin Wątorek,
- Anna Ceglarek,
- Magdalena Fąfrowicz,
- Paweł Oświęcimka
Abstract
Analysis of Functional Magnetic Resonance imaging (fMRI) time series plays a vital role in identifying the activation behaviour of neurons in the human brain. However, due to the complexity of the fMRI data, its analysis is challenging. Some studies show that the clustering methods can be beneficial in this respect. We apply a Neutrosophic Set-Based Clustering Algorithm (NEBCA) to fMRI time series datasets by this motivation. For the experimental purpose, we consider fMRI time series related to working memory tasks and resting-state. The clusters with different densities for the two analyzed cases are determined and compared. The identified differences indicate brain regions involved with the processing of the short-memory tasks. The corresponding brain areas are denoted according to Automated Anatomical Labeling (AAL) atlas. The statistical reliability of the findings is verified through various statistical tests. The presented results demonstrate the utility of the neutrosophic set based algorithm in brain neural data analysis.
- Record ID
- CUT41a882511cec46988ec771e5e65f4032
- Publication categories
- ;
- Author
- Journal series
- Journal of Advances in Information Technology, ISSN , [1798-2340]
- Issue year
- 2022
- Vol
- 13
- No
- 3
- Pages
- 224-229
- Other elements of collation
- rys.; wykr.; Bibliografia (na s.) - 228; Bibliografia (liczba pozycji) - 14; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 13, No. 3
- Keywords in English
- neutrosophic set, entropy, clustering, functional Magnetic Resonance Imaging (fMRI) time series
- DOI
- DOI:10.12720/jait.13.3.224-229 Opening in a new tab
- URL
- http://www.jait.us/index.php?m=content&c=index&a=show&catid=217&id=1220 Opening in a new tab
- Related project
- TEAM-NET: Bio-Inspired artificial neural networks. . Project leader at PK: , ,
- Language
- eng (en) English
- License
- Score (nominal)
- 20
- Score source
- journalList
- Score
- Publication indicators
- Citation count
- 2
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT41a882511cec46988ec771e5e65f4032/
- URN
urn:pkr-prod:CUT41a882511cec46988ec771e5e65f4032
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.