This study seeks to characterize the neuronal mechanisms underlying voluntary decisions to check/verify. In order to describe and potentially decode decisions from brain signals we analyzed intracortical recordings from monkey prefrontal regions obtained during a cognitive task requiring self-initiated as well as cue-instructed decisions. Using local field potentials (LFP) and single units, we analyzed power spectral density, oscillatory modes, power profiles in time, single unit firing rate, and spike-phase relationships in the ? band. Our results point toward specific but variable activation patterns of oscillations in ? band from separate recordings, with task-dependent frequency preference and amplitude modulation of power. The results suggest relationships between particular LFP oscillations and functions engaged at specific time in the task.

Time-frequency characterization of local field potential in a decision making task

Bozanic N;
2015

Abstract

This study seeks to characterize the neuronal mechanisms underlying voluntary decisions to check/verify. In order to describe and potentially decode decisions from brain signals we analyzed intracortical recordings from monkey prefrontal regions obtained during a cognitive task requiring self-initiated as well as cue-instructed decisions. Using local field potentials (LFP) and single units, we analyzed power spectral density, oscillatory modes, power profiles in time, single unit firing rate, and spike-phase relationships in the ? band. Our results point toward specific but variable activation patterns of oscillations in ? band from separate recordings, with task-dependent frequency preference and amplitude modulation of power. The results suggest relationships between particular LFP oscillations and functions engaged at specific time in the task.
2015
Istituto dei Sistemi Complessi - ISC
Inglese
Proceedings of the 37 th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
37 th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2015-November
5565
5568
978-1-424-49271-8
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7319653
25-29/08/2015
Milano, Italy
brain signal
Article number 7319653.
6
none
Loncarturukalo, T; Mijatovic, G; Bozanic, N; Stoll, Fm; Bajic, D; Procyk, E
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/315458
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