PMID- 33371251
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20210224
IS  - 1099-4300 (Electronic)
IS  - 1099-4300 (Linking)
VI  - 22
IP  - 12
DP  - 2020 Dec 21
TI  - Measuring the Coupling Direction between Neural Oscillations with Weighted 
      Symbolic Transfer Entropy.
LID - 10.3390/e22121442 [doi]
LID - 1442
AB  - Neural oscillations reflect rhythmic fluctuations in the synchronization of 
      neuronal populations and play a significant role in neural processing. To further 
      understand the dynamic interactions between different regions in the brain, it is 
      necessary to estimate the coupling direction between neural oscillations. Here, 
      we developed a novel method, termed weighted symbolic transfer entropy (WSTE), 
      that combines symbolic transfer entropy (STE) and weighted probability 
      distribution to measure the directionality between two neuronal populations. The 
      traditional STE ignores the degree of difference between the amplitude values of 
      a time series. In our proposed WSTE method, this information is picked up by 
      utilizing a weighted probability distribution. The simulation analysis shows that 
      the WSTE method can effectively estimate the coupling direction between two 
      neural oscillations. In comparison with STE, the new method is more sensitive to 
      the coupling strength and is more robust against noise. When applied to epileptic 
      electrocorticography data, a significant coupling direction from the anterior 
      nucleus of thalamus (ANT) to the seizure onset zone (SOZ) was detected during 
      seizures. Considering the superiorities of the WSTE method, it is greatly 
      advantageous to measure the coupling direction between neural oscillations and 
      consequently characterize the information flow between different brain regions.
FAU - Li, Zhaohui
AU  - Li Z
AUID- ORCID: 0000-0003-4009-4374
AD  - School of Information Science and Engineering (School of Software), Yanshan 
      University, Qinhuangdao 066004, China.
AD  - Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan 
      University, Qinhuangdao 066004, China.
FAU - Li, Shuaifei
AU  - Li S
AD  - School of Information Science and Engineering (School of Software), Yanshan 
      University, Qinhuangdao 066004, China.
FAU - Yu, Tao
AU  - Yu T
AD  - Beijing Institute of Functional Neurosurgery, Capital Medical University, Beijing 
      100053, China.
FAU - Li, Xiaoli
AU  - Li X
AD  - State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal 
      University, Beijing 100875, China.
LA  - eng
GR  - 61971374/National Natural Science Foundation of China/
GR  - 61603327/National Natural Science Foundation of China/
PT  - Journal Article
DEP - 20201221
PL  - Switzerland
TA  - Entropy (Basel)
JT  - Entropy (Basel, Switzerland)
JID - 101243874
PMC - PMC7767336
OTO - NOTNLM
OT  - coupling direction
OT  - epileptic seizure
OT  - neural oscillation
OT  - symbolic transfer entropy
OT  - weighted probability distribution
COIS- The authors declare no conflict of interest.
EDAT- 2020/12/30 06:00
MHDA- 2020/12/30 06:01
PMCR- 2020/12/21
CRDT- 2020/12/29 01:04
PHST- 2020/11/09 00:00 [received]
PHST- 2020/12/13 00:00 [revised]
PHST- 2020/12/16 00:00 [accepted]
PHST- 2020/12/29 01:04 [entrez]
PHST- 2020/12/30 06:00 [pubmed]
PHST- 2020/12/30 06:01 [medline]
PHST- 2020/12/21 00:00 [pmc-release]
AID - e22121442 [pii]
AID - entropy-22-01442 [pii]
AID - 10.3390/e22121442 [doi]
PST - epublish
SO  - Entropy (Basel). 2020 Dec 21;22(12):1442. doi: 10.3390/e22121442.