Literature DB >> 25721430

What hemodynamic (fNIRS), electrophysiological (EEG) and autonomic integrated measures can tell us about emotional processing.

Michela Balconi1, Elisabetta Grippa2, Maria Elide Vanutelli3.   

Abstract

Due to its fast temporal evolution and its representation and integration among complex and widespread neural networks, the emotion perception process should preferably be examined by means of multimethodological approach. Indeed the indubitable vantage of acquiring both the autonomic (arousal-related) and the central (cortical-related) activities stands in the possibility to better elucidate the reciprocal interplay of the two compartments. In the present study EEG (frequency band analysis), systemic SCR and heart rate (HR) were all recorded simultaneously with hemodynamic (NIRS, Near-Infrared Spectroscopy) measurements as potential biological markers of emotions, related to both central and peripheral systems. These multiple measures were then related to the self-report correlates, that is the subjective appraisal in term of valence (positive vs. negative) and arousal (high vs. low) by using SAM rating. Twenty subjects were submitted to emotional cues processing (IAPS) when fNIRS, frequency bands (alpha, beta, delta, theta), SCR and HR were recorded. As shown by O2Hb increasing within the right hemisphere, the contribution of prefrontal cortex was elucidated, by pointing out a relevant lateralization effect (more right-PFC activity) induced by the specific valence (negative) of the emotional patterns. Secondly, EEG activity (mainly low-frequency theta and delta bands) was intrinsically associated with the cortical hemodynamic responsiveness to the negative emotional patterns, within the right side. Finally SCR increased mainly in response to negative patterns, and the autonomic behavior was related to explicit (SAM) and cortical (NIRS; EEG) activity. The intrinsic relationships between these three different levels are discussed.
Copyright © 2015 Elsevier Inc. All rights reserved.

Keywords:  Appraisal; Emotion; Frequency band; HR; Multimeasure; SCR; fNIRS

Mesh:

Year:  2015        PMID: 25721430     DOI: 10.1016/j.bandc.2015.02.001

Source DB:  PubMed          Journal:  Brain Cogn        ISSN: 0278-2626            Impact factor:   2.310


  47 in total

1.  Resting lateralized activity predicts the cortical response and appraisal of emotions: an fNIRS study.

Authors:  Michela Balconi; Elisabetta Grippa; Maria Elide Vanutelli
Journal:  Soc Cogn Affect Neurosci       Date:  2015-04-09       Impact factor: 3.436

2.  Combining electroencephalographic activity and instantaneous heart rate for assessing brain-heart dynamics during visual emotional elicitation in healthy subjects.

Authors:  G Valenza; A Greco; C Gentili; A Lanata; L Sebastiani; D Menicucci; A Gemignani; E P Scilingo
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-05-13       Impact factor: 4.226

3.  Altered oscillatory brain dynamics of emotional processing in young binge drinkers.

Authors:  Siyuan Huang; Lee A Holcomb; Stephen M Cruz; Ksenija Marinkovic
Journal:  Cogn Affect Behav Neurosci       Date:  2018-02       Impact factor: 3.282

4.  Affective pictures processing is reflected by an increased long-distance EEG connectivity.

Authors:  Bahar Güntekin; Banu Femir; Bilge Turp Gölbaşı; Elif Tülay; Erol Başar
Journal:  Cogn Neurodyn       Date:  2017-04-13       Impact factor: 5.082

5.  Intra-Brain Connectivity vs. Inter-Brain Connectivity in Gestures Reproduction: What Relationship?

Authors:  Michela Balconi; Giulia Fronda
Journal:  Brain Sci       Date:  2021-04-29

6.  Towards Neuroscience of the Everyday World (NEW) using functional Near-Infrared Spectroscopy.

Authors:  Alexander von Lühmann; Yilei Zheng; Antonio Ortega-Martinez; Swathi Kiran; David C Somers; Alice Cronin-Golomb; Louis N Awad; Terry D Ellis; David A Boas; Meryem A Yücel
Journal:  Curr Opin Biomed Eng       Date:  2021-02-03

7.  Competition in the Brain. The Contribution of EEG and fNIRS Modulation and Personality Effects in Social Ranking.

Authors:  Michela Balconi; Maria E Vanutelli
Journal:  Front Psychol       Date:  2016-10-13

Review 8.  How to Induce and Recognize Facial Expression of Emotions by Using Past Emotional Memories: A Multimodal Neuroscientific Algorithm.

Authors:  Michela Balconi; Giulia Fronda
Journal:  Front Psychol       Date:  2021-05-10

9.  Higher-order Multivariable Polynomial Regression to Estimate Human Affective States.

Authors:  Jie Wei; Tong Chen; Guangyuan Liu; Jiemin Yang
Journal:  Sci Rep       Date:  2016-03-21       Impact factor: 4.379

10.  Hemodynamic (fNIRS) and EEG (N200) correlates of emotional inter-species interactions modulated by visual and auditory stimulation.

Authors:  Michela Balconi; Maria Elide Vanutelli
Journal:  Sci Rep       Date:  2016-03-15       Impact factor: 4.379

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