Using Multiscale Entropy to Quantify the Complexity of Neural Systems during the Process of Cognitive Control
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1
National Central University, Institute of Cognitive Neuroscience, Taiwan
The processes of cognitive control allow information processing and behavior to vary adaptively from moment to moment in the brain. It requires our brain to make a fast adaptation to an ever-changing environment. These processes happen fast, in a complex manner, and sometimes are difficult to capture with fMRI or mean electrophysiological brain signal alone. Therefore, we employed a new approach to analyzing EEG signal: the multiscale entropy (MSE) to quantify the complexity (indicating adaptability and efficiency) of neural systems during the process of cognitive control. First, we applied MSE to investigate EEG complexity during the process of inhibitory control, both with and without transcranial direct current stimulation (tDCS) over the presupplementary motor area (preSMA). We found that the complexity of EEG signals was higher for successful than unsuccessful inhibition, and that anodal tDCS over preSMA increased the complexity of EEG signals along with its behaviorally facilitating effect (Liang and Juan, 2013; Liang et al., 2014 NeuroImage). Second, we applied MSE to examine the effects of physical activity on visuo-spatial cognitive capacity in older adulthood. We observed that physically active elderly adults displayed greater MSE over the frontal lobe along with better visuo-spatial attention and working memory performance relative to their physically inactive counterparts. Third, we also observed a mismatch complexity induced by small deviant tones in Mandarin lexical tones using MSE.
Therefore, we propose that the MSE, both theoretically and pragmatically, is an elaborate index that can reveal the efficiency of the cognitive neural mechanism.
Liang, WK., Lo, MT., Yang, AC., Peng, CK., Cheng, SK., Tseng, P., Juan CH. (2014). NeuroImage 90C: 218-234.
Liang, WK., Juan, CH. (2013). Journal of Neuroscience and Neuroengineering 2, 382-386.
Keywords:
cognitive control,
EEG,
tDCS,
Brain Stimulation,
Inhibitory Control,
stop signal,
MSE,
multiscale entropy
Conference:
XII International Conference on Cognitive Neuroscience (ICON-XII), Brisbane, Queensland, Australia, 27 Jul - 31 Jul, 2014.
Presentation Type:
Poster
Topic:
Cognition and Executive Processes
Citation:
Liang
W and
Juan
C
(2015). Using Multiscale Entropy to Quantify the Complexity of Neural Systems during the Process of Cognitive Control.
Conference Abstract:
XII International Conference on Cognitive Neuroscience (ICON-XII).
doi: 10.3389/conf.fnhum.2015.217.00208
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Received:
19 Feb 2015;
Published Online:
24 Apr 2015.
*
Correspondence:
Prof. Wei-Kuang Liang, National Central University, Institute of Cognitive Neuroscience, Jhongli City, Taoyuan County, Taiwan, weikuangliang@gmail.com