Smell and 3D Haptic Representation: A Common Pathway to Understand Brain Dynamics in a Cross-Modal Task. A Pilot OERP and fNIRS Study.

OERPs cross-modal perception delta rhythm fNIRS haptic perception olfactory perception

Journal

Frontiers in behavioral neuroscience
ISSN: 1662-5153
Titre abrégé: Front Behav Neurosci
Pays: Switzerland
ID NLM: 101477952

Informations de publication

Date de publication:
2019
Historique:
received: 16 05 2019
accepted: 11 09 2019
entrez: 17 10 2019
pubmed: 17 10 2019
medline: 17 10 2019
Statut: epublish

Résumé

Cross-modal perception allows olfactory information to integrate with other sensory modalities. Olfactory representations are processed by multisensory cortical pathways, where the aspects related to the haptic sensations are integrated. This complex reality allows the development of an integrated perception, where olfactory aspects compete with haptic and/or trigeminal activations. It is assumed that this integration involves both perceptive electrophysiological and metabolic/hemodynamic aspects, but there are no studies evaluating these activations in parallel. The aim of this study was to investigate brain dynamics during a cross-modal olfactory and haptic attention task, preceded by an exploratory session. The assessment of cross-modal dynamics was conducted through simultaneous electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) recording, evaluating both electrophysiological and hemodynamic activities. The study consisted of two experimental sessions and was conducted with a sample of ten healthy subjects (mean age 25 ± 5.2 years). In Session 1, the subjects were trained to manipulate 3D haptic models (HC) and to smell different scents (SC). In Session 2, the subjects were tested during an attentive olfactory task, in order to investigate the olfactory event-related potentials (OERP) N1 and late positive component (LPC), and EEG rhythms associated with fNIRS components (oxy-Hb and deoxy-Hb). The main results of this study highlighted, in Task 1, a higher fNIRS oxy-Hb response during SC and a positive correlation with the delta rhythm in the central and parietal EEG region of interest. In Session 2, the N1 OERP highlighted a greater amplitude in SC. A negative correlation was found in HC for the deoxy-Hb parietal with frontal and central N1, and for the oxy-Hb frontal with N1 in the frontal, central and parietal regions of interests (ROIs). A negative correlation was found in parietal LPC amplitude with central deoxy-Hb. The data suggest that cross-modal valence modifies the attentional olfactory response and that the dorsal cortical/metabolic pathways are involved in these responses. This can be considered as an important starting point for understanding integrated cognition, as the subject could perceive in an ecological context.

Identifiants

pubmed: 31616263
doi: 10.3389/fnbeh.2019.00226
pmc: PMC6775200
doi:

Types de publication

Journal Article

Langues

eng

Pagination

226

Informations de copyright

Copyright © 2019 Invitto, Montinaro, Ciccarese, Venturella, Fronda and Balconi.

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Auteurs

Sara Invitto (S)

Human Anatomy and Neuroscience Laboratory, Department of Biological and Environmental Sciences and Technologies, University of Salento, Lecce, Italy.
Laboratory of Interdisciplinary Research Applied to Medicine, University of Salento-Vito Fazzi Hospital, Lecce, Italy.

Roberta Montinaro (R)

Human Anatomy and Neuroscience Laboratory, Department of Biological and Environmental Sciences and Technologies, University of Salento, Lecce, Italy.

Vincenzo Ciccarese (V)

Istituto Santa Chiara, Rome, Italy.

Irene Venturella (I)

Research Unit in Affective and Social Neuroscience, Department of Psychology, Catholic University of Milan, Milan, Italy.

Giulia Fronda (G)

Research Unit in Affective and Social Neuroscience, Department of Psychology, Catholic University of Milan, Milan, Italy.

Michela Balconi (M)

Research Unit in Affective and Social Neuroscience, Department of Psychology, Catholic University of Milan, Milan, Italy.

Classifications MeSH