217 related articles for article (PubMed ID: 31276692)
1. The reliability and psychometric structure of Multi-Scale Entropy measured from EEG signals at rest and during face and object recognition tasks.
Kaur Y; Ouyang G; Junge M; Sommer W; Liu M; Zhou C; Hildebrandt A
J Neurosci Methods; 2019 Oct; 326():108343. PubMed ID: 31276692
[TBL] [Abstract][Full Text] [Related]
2. Correlations between the signal complexity of cerebral and cardiac electrical activity: a multiscale entropy analysis.
Lin PF; Lo MT; Tsao J; Chang YC; Lin C; Ho YL
PLoS One; 2014; 9(2):e87798. PubMed ID: 24498375
[TBL] [Abstract][Full Text] [Related]
3. What Does Temporal Brain Signal Complexity Reveal About Verbal Creativity?
Kaur Y; Ouyang G; Sommer W; Weiss S; Zhou C; Hildebrandt A
Front Behav Neurosci; 2020; 14():146. PubMed ID: 33192356
[TBL] [Abstract][Full Text] [Related]
4. Pre-treatment EEG signal variability is associated with treatment success in depression.
Jaworska N; Wang H; Smith DM; Blier P; Knott V; Protzner AB
Neuroimage Clin; 2018; 17():368-377. PubMed ID: 29159049
[TBL] [Abstract][Full Text] [Related]
5. Standard multiscale entropy reflects neural dynamics at mismatched temporal scales: What's signal irregularity got to do with it?
Kosciessa JQ; Kloosterman NA; Garrett DD
PLoS Comput Biol; 2020 May; 16(5):e1007885. PubMed ID: 32392250
[TBL] [Abstract][Full Text] [Related]
6. Structural encoding processes contribute to individual differences in face and object cognition: Inferences from psychometric test performance and event-related brain potentials.
Nowparast Rostami H; Sommer W; Zhou C; Wilhelm O; Hildebrandt A
Cortex; 2017 Oct; 95():192-210. PubMed ID: 28915366
[TBL] [Abstract][Full Text] [Related]
7. Complexity of Multi-Channel Electroencephalogram Signal Analysis in Childhood Absence Epilepsy.
Weng WC; Jiang GJ; Chang CF; Lu WY; Lin CY; Lee WT; Shieh JS
PLoS One; 2015; 10(8):e0134083. PubMed ID: 26244497
[TBL] [Abstract][Full Text] [Related]
8. Cognitive and neuropsychiatric correlates of EEG dynamic complexity in patients with Alzheimer's disease.
Yang AC; Wang SJ; Lai KL; Tsai CF; Yang CH; Hwang JP; Lo MT; Huang NE; Peng CK; Fuh JL
Prog Neuropsychopharmacol Biol Psychiatry; 2013 Dec; 47():52-61. PubMed ID: 23954738
[TBL] [Abstract][Full Text] [Related]
9. Quantifying the dynamics of electroencephalographic (EEG) signals to distinguish alcoholic and non-alcoholic subjects using an MSE based K-d tree algorithm.
Hussain L; Aziz W; Saeed S; Shah SA; Nadeem MSA; Awan IA; Abbas A; Majid A; Kazmi SZH
Biomed Tech (Berl); 2018 Jul; 63(4):481-490. PubMed ID: 28763292
[TBL] [Abstract][Full Text] [Related]
10. The modulation of EEG variability between internally- and externally-driven cognitive states varies with maturation and task performance.
Szostakiwskyj JMH; Willatt SE; Cortese F; Protzner AB
PLoS One; 2017; 12(7):e0181894. PubMed ID: 28750035
[TBL] [Abstract][Full Text] [Related]
11. On the estimation of brain signal entropy from sparse neuroimaging data.
Grandy TH; Garrett DD; Schmiedek F; Werkle-Bergner M
Sci Rep; 2016 Mar; 6():23073. PubMed ID: 27020961
[TBL] [Abstract][Full Text] [Related]
12. The multiscale entropy: Guidelines for use and interpretation in brain signal analysis.
Courtiol J; Perdikis D; Petkoski S; Müller V; Huys R; Sleimen-Malkoun R; Jirsa VK
J Neurosci Methods; 2016 Nov; 273():175-190. PubMed ID: 27639660
[TBL] [Abstract][Full Text] [Related]
13. Neurophysiological basis of creativity in healthy elderly people: a multiscale entropy approach.
Ueno K; Takahashi T; Takahashi K; Mizukami K; Tanaka Y; Wada Y
Clin Neurophysiol; 2015 Mar; 126(3):524-31. PubMed ID: 25066939
[TBL] [Abstract][Full Text] [Related]
14. Age-related variation in EEG complexity to photic stimulation: a multiscale entropy analysis.
Takahashi T; Cho RY; Murata T; Mizuno T; Kikuchi M; Mizukami K; Kosaka H; Takahashi K; Wada Y
Clin Neurophysiol; 2009 Mar; 120(3):476-83. PubMed ID: 19231279
[TBL] [Abstract][Full Text] [Related]
15. Revealing the brain's adaptability and the transcranial direct current stimulation facilitating effect in inhibitory control by multiscale entropy.
Liang WK; Lo MT; Yang AC; Peng CK; Cheng SK; Tseng P; Juan CH
Neuroimage; 2014 Apr; 90():218-34. PubMed ID: 24389016
[TBL] [Abstract][Full Text] [Related]
16. Assessment of EEG dynamical complexity in Alzheimer's disease using multiscale entropy.
Mizuno T; Takahashi T; Cho RY; Kikuchi M; Murata T; Takahashi K; Wada Y
Clin Neurophysiol; 2010 Sep; 121(9):1438-1446. PubMed ID: 20400371
[TBL] [Abstract][Full Text] [Related]
17. Atypical EEG complexity in autism spectrum conditions: a multiscale entropy analysis.
Catarino A; Churches O; Baron-Cohen S; Andrade A; Ring H
Clin Neurophysiol; 2011 Dec; 122(12):2375-83. PubMed ID: 21641861
[TBL] [Abstract][Full Text] [Related]
18. The automated preprocessing pipe-line for the estimation of scale-wise entropy from EEG data (APPLESEED): Development and validation for use in pediatric populations.
Puglia MH; Slobin JS; Williams CL
Dev Cogn Neurosci; 2022 Dec; 58():101163. PubMed ID: 36270100
[TBL] [Abstract][Full Text] [Related]
19. Resting-state brain signal complexity discriminates young healthy APOE e4 carriers from non-e4 carriers.
Li X; Kaur Y; Wilhelm O; Reuter M; Montag C; Sommer W; Zhou C; Hildebrandt A
Eur J Neurosci; 2023 Mar; 57(5):854-866. PubMed ID: 36656069
[TBL] [Abstract][Full Text] [Related]
20. EEG differences between eyes-closed and eyes-open resting conditions.
Barry RJ; Clarke AR; Johnstone SJ; Magee CA; Rushby JA
Clin Neurophysiol; 2007 Dec; 118(12):2765-73. PubMed ID: 17911042
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]