Long term sustained attention alters dynamic functional connectivity patterns
(2023)- Abstract
- Mental fatigue has attracted much attention from researchers as it plays a key role in performance efficiency and safety situations. Functional connectivity analysis using graph theory is an effective method for revealing changes in cognition resources influenced by mental fatigue. Previous studies have revealed that functional networks are dynamically reorganized. Therefore, it is critical to explore dynamic timescales of networks related to specific cognitive abilities. In this study, we used an open EEG dataset of twenty-one subjects recorded in a 60-minutes sustained attention task. After preprocessing, we constructed connectivity matrices using the weighted phase lag index (wPLI) in the theta band and characterized them with dynamic... (More)
- Mental fatigue has attracted much attention from researchers as it plays a key role in performance efficiency and safety situations. Functional connectivity analysis using graph theory is an effective method for revealing changes in cognition resources influenced by mental fatigue. Previous studies have revealed that functional networks are dynamically reorganized. Therefore, it is critical to explore dynamic timescales of networks related to specific cognitive abilities. In this study, we used an open EEG dataset of twenty-one subjects recorded in a 60-minutes sustained attention task. After preprocessing, we constructed connectivity matrices using the weighted phase lag index (wPLI) in the theta band and characterized them with dynamic graph measures, namely characteristic path length (CPL) and clustering coefficient (CC). The results show that the frontal-parietal brain networks in theta band are involved in a sustaining attention task. When averaging from temporal and spatial activations, CPL and CC decreased with time-on-task. Our results indicate that mental fatigue results in deteriorations in sustaining attention, and graph theory analysis can provide support for mental fatigue analysis.Clinical Relevance— Identification of the effects of long term sustained attention on dynamic brain networks may be potential for mechanism study and detection of mental states and attentional deficits caused by mental diseases. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/87b97a15-f1e2-453a-ad53-4be4eb59c641
- author
- Liu, Jia LU ; Malesevic, Nebojsa LU and Antfolk, Christian LU
- organization
- publishing date
- 2023-11-11
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- pmid:38083318
- scopus:85179649554
- ISBN
- 979-8-3503-2448-8
- 979-8-3503-2447-1
- DOI
- 10.1109/EMBC40787.2023.10340531
- language
- English
- LU publication?
- yes
- id
- 87b97a15-f1e2-453a-ad53-4be4eb59c641
- date added to LUP
- 2024-06-19 17:14:19
- date last changed
- 2024-07-23 06:44:56
@inproceedings{87b97a15-f1e2-453a-ad53-4be4eb59c641,
abstract = {{Mental fatigue has attracted much attention from researchers as it plays a key role in performance efficiency and safety situations. Functional connectivity analysis using graph theory is an effective method for revealing changes in cognition resources influenced by mental fatigue. Previous studies have revealed that functional networks are dynamically reorganized. Therefore, it is critical to explore dynamic timescales of networks related to specific cognitive abilities. In this study, we used an open EEG dataset of twenty-one subjects recorded in a 60-minutes sustained attention task. After preprocessing, we constructed connectivity matrices using the weighted phase lag index (wPLI) in the theta band and characterized them with dynamic graph measures, namely characteristic path length (CPL) and clustering coefficient (CC). The results show that the frontal-parietal brain networks in theta band are involved in a sustaining attention task. When averaging from temporal and spatial activations, CPL and CC decreased with time-on-task. Our results indicate that mental fatigue results in deteriorations in sustaining attention, and graph theory analysis can provide support for mental fatigue analysis.Clinical Relevance— Identification of the effects of long term sustained attention on dynamic brain networks may be potential for mechanism study and detection of mental states and attentional deficits caused by mental diseases.}},
author = {{Liu, Jia and Malesevic, Nebojsa and Antfolk, Christian}},
booktitle = {{2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)}},
isbn = {{979-8-3503-2448-8}},
language = {{eng}},
month = {{11}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Long term sustained attention alters dynamic functional connectivity patterns}},
url = {{http://dx.doi.org/10.1109/EMBC40787.2023.10340531}},
doi = {{10.1109/EMBC40787.2023.10340531}},
year = {{2023}},
}