Literature DB >> 9153630

Non-linear analysis of emotion EEG: calculation of Kolmogorov entropy and the principal Lyapunov exponent.

L I Aftanas1, N V Lotova, V I Koshkarov, V L Pokrovskaja, S A Popov, V P Makhnev.   

Abstract

For 76 healthy subjects, two non-linear measures, capturing the dynamical properties of the system orbiting within the attractor (i.e. Kolmogorov entropy, K2 and principal Lyapunov exponent, L1), were calculated from EEG segments, corresponding to different states of brain activity, induced by emotionally valenced (i.e. neutral, affective positive and negative) video stimuli. Significantly elevated values of EEG K2 and L1 in response to both positive and negative film categories as compared to neutral one were evidenced. Relying on the obtained findings, it is suggested that increased cortical dynamics, up to a certain level, are probably necessary for emotion functioning.

Mesh:

Year:  1997        PMID: 9153630     DOI: 10.1016/s0304-3940(97)00232-2

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  11 in total

1.  Approximate entropy in the electroencephalogram during wake and sleep.

Authors:  Naoto Burioka; Masanori Miyata; Germaine Cornélissen; Franz Halberg; Takao Takeshima; Daniel T Kaplan; Hisashi Suyama; Masanori Endo; Yoshihiro Maegaki; Takashi Nomura; Yutaka Tomita; Kenji Nakashima; Eiji Shimizu
Journal:  Clin EEG Neurosci       Date:  2005-01       Impact factor: 1.843

2.  Emotion classification using flexible analytic wavelet transform for electroencephalogram signals.

Authors:  Varun Bajaj; Sachin Taran; Abdulkadir Sengur
Journal:  Health Inf Sci Syst       Date:  2018-09-18

3.  Nonlinear features of surface EEG showing systematic brain signal adaptations with muscle force and fatigue.

Authors:  Bing Yao; Jing Z Liu; Robert W Brown; Vinod Sahgal; Guang H Yue
Journal:  Brain Res       Date:  2009-03-28       Impact factor: 3.252

4.  Nonlinear Analysis of Electroencephalogram Signals while Listening to the Holy Quran.

Authors:  Mahsa Vaghefi; Ali Motie Nasrabadi; Seyed Mohammad Reza Hashemi Golpayegani; Mohammad Reza Mohammadi; Shahriar Gharibzadeh
Journal:  J Med Signals Sens       Date:  2019 Apr-Jun

5.  Self-reported and experimentally induced self-disgust is heightened in Parkinson's disease: Contribution of behavioural symptoms.

Authors:  Marianna Tsatali; Paul G Overton; Ana B Vivas
Journal:  PLoS One       Date:  2019-10-16       Impact factor: 3.240

6.  Automatic Diagnosis of Mild Cognitive Impairment Based on Spectral, Functional Connectivity, and Nonlinear EEG-Based Features.

Authors:  Reza Akbari Movahed; Mohammadreza Rezaeian
Journal:  Comput Math Methods Med       Date:  2022-08-11       Impact factor: 2.809

7.  Classifying different emotional states by means of EEG-based functional connectivity patterns.

Authors:  You-Yun Lee; Shulan Hsieh
Journal:  PLoS One       Date:  2014-04-17       Impact factor: 3.240

8.  Affective Visual Stimuli: Characterization of the Picture Sequences Impacts by Means of Nonlinear Approaches.

Authors:  Ateke Goshvarpour; Ataollah Abbasi; Atefeh Goshvarpour
Journal:  Basic Clin Neurosci       Date:  2015-10

9.  Exploring EEG Features in Cross-Subject Emotion Recognition.

Authors:  Xiang Li; Dawei Song; Peng Zhang; Yazhou Zhang; Yuexian Hou; Bin Hu
Journal:  Front Neurosci       Date:  2018-03-19       Impact factor: 4.677

10.  Consciousness & Brain Functional Complexity in Propofol Anaesthesia.

Authors:  Thomas F Varley; Andrea I Luppi; Ioannis Pappas; Lorina Naci; Ram Adapa; Adrian M Owen; David K Menon; Emmanuel A Stamatakis
Journal:  Sci Rep       Date:  2020-01-23       Impact factor: 4.379

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