Literature DB >> 19020032

Neural correlates of decisions and their outcomes in the ventral premotor cortex.

Jose L Pardo-Vazquez1, Victor Leboran, Carlos Acuña.   

Abstract

Selection of the appropriate action in a changing environment involves a chain of events that goes from perception through decision to action and evaluation of the outcomes. What and where in the brain are the correlates of these events? The ventral premotor cortex (PMv) is a candidate because (1) it is involved in sensory transformations for visually guided actions and in perceptual decisions, and (2) it is connected with sensory, motor, and high-level cognitive areas related to performance monitoring. Therefore, we hypothesized that it would be the site for representing sensory perception for action and for evaluating the decision consequences. Trained monkeys were required to discriminate the orientation of two lines showed in sequence and separated by a delay. Monkeys compared the orientation of the second line with the memory trace of the first and communicated whether the second was to the left or to the right of the first. Here we show that the activity of PMv neurons reflected (1) the first stimuli and its memory trace during the delay and comparison periods, (2) its comparison with the second stimuli, including the strength of the evidence, and (3) the result of the discrimination (choice). After the monkeys reported the choice, there were neurons that only encoded the choices, others only the outcomes, and others the choices and outcomes together. The representation of task cues, decision variables, and their outcomes suggest a role of PMv as part of a supervisory network involved in shaping future behavior and in learning.

Entities:  

Mesh:

Year:  2008        PMID: 19020032      PMCID: PMC6671693          DOI: 10.1523/JNEUROSCI.3396-08.2008

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  23 in total

1.  Mirror neurons encode the subjective value of an observed action.

Authors:  Vittorio Caggiano; Leonardo Fogassi; Giacomo Rizzolatti; Antonino Casile; Martin A Giese; Peter Thier
Journal:  Proc Natl Acad Sci U S A       Date:  2012-07-02       Impact factor: 11.205

Review 2.  Decision-making, behavioral supervision and learning: an executive role for the ventral premotor cortex?

Authors:  C Acuña; J L Pardo-Vázquez; V Leborán
Journal:  Neurotox Res       Date:  2010-04-20       Impact factor: 3.911

3.  Roles of narrow- and broad-spiking dorsal premotor area neurons in reach target selection and movement production.

Authors:  Joo-Hyun Song; Robert M McPeek
Journal:  J Neurophysiol       Date:  2010-02-17       Impact factor: 2.714

4.  Neural encoding of auditory discrimination in ventral premotor cortex.

Authors:  Luis Lemus; Adrián Hernández; Ranulfo Romo
Journal:  Proc Natl Acad Sci U S A       Date:  2009-08-10       Impact factor: 11.205

5.  A role for the ventral premotor cortex beyond performance monitoring.

Authors:  Jose L Pardo-Vazquez; Victor Leboran; Carlos Acuña
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-21       Impact factor: 11.205

6.  Dynamics of recovery from anaesthesia-induced unconsciousness across primate neocortex.

Authors:  Shaun R Patel; Jesus J Ballesteros; Omar J Ahmed; Pamela Huang; Jessica Briscoe; Emad N Eskandar; Yumiko Ishizawa
Journal:  Brain       Date:  2020-03-01       Impact factor: 13.501

Review 7.  Rewiring the brain: potential role of the premotor cortex in motor control, learning, and recovery of function following brain injury.

Authors:  Shailesh S Kantak; James W Stinear; Ethan R Buch; Leonardo G Cohen
Journal:  Neurorehabil Neural Repair       Date:  2011-09-16       Impact factor: 3.919

8.  Cortical neural responses to previous trial outcome during learning of a directional choice task.

Authors:  Yuan Yuan; Hongwei Mao; Jennie Si
Journal:  J Neurophysiol       Date:  2014-12-31       Impact factor: 2.714

9.  Decision processes in human performance monitoring.

Authors:  Marco Steinhauser; Nick Yeung
Journal:  J Neurosci       Date:  2010-11-17       Impact factor: 6.167

10.  Dissociating the contributions of independent corticostriatal systems to visual categorization learning through the use of reinforcement learning modeling and Granger causality modeling.

Authors:  Carol A Seger; Erik J Peterson; Corinna M Cincotta; Dan Lopez-Paniagua; Charles W Anderson
Journal:  Neuroimage       Date:  2009-12-05       Impact factor: 6.556

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