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Data · dataset · 2025

An auditory-mediated communication paradigm for evaluating individual needs and motivational states in locked-in patients.

Listed in Bicocca Open Archive Research Data

The stimulus set was used in the ERP paper "Decoding Motivational States and Craving through Electrical Markers for Neural 'Mind Reading’ by Proverbio AM & Zanetti A (2025).

Description

The aim of this study was to identify electrical neuromarkers of 12 different motivational and physiological states (such as visceral craves, affective and somatosensory states, and secondary needs) in LIS, coma, or minimally conscious state patients.

Auditory stimuli were designed by combining a human expressive voice with a background sound to evoke a context related to the targeted needs. The stimuli included: primary or visceral needs (hunger, thirst, and sleep), homeostatic or somatosensory sensations (cold, heat, and pain), emotional or affective states (sadness, joy, and fear), and secondary needs (desire for music, movement, and play). 17 audio clips were recorded for each micro-category, each replicated twice: once with a male voice and once with a female voice, totaling 408 stimuli.

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Audacity software was used to combining the vocal track with a background context coherent with the verbal content. Human voices were recorded using Microphone 202 K38 by Hompower (SNR = 80 dB). The semantic content, the prosodic intonation and the emotional tone of all voices were coherent and appropriately matched.

Some of the background sounds were recorded using the same microphone, while others were sourced from the publicly accessible BBC Sound Effects library for scientific purposes (sound-effects.bbcrewind.co.uk/search). Research was funded by ATE – Fondo di Ateneo No. 31159-2019-ATE-0064, University of Milano-Bicocca. The research project, entitled “Auditory imagery in BCI mental reconstruction” was preapproved by the Research Assessment Committee of the Department of Psychology (CRIP) for minimal risk projects, under the aegis of the Ethical committee of University of Milano-Bicocca, on February 9th, 2024, protocol n: RM-2024-775).

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Audio 75% · Neurosciences 71%
Provenance · 1 source records, 12 field assertions
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