Literature DB >> 10933215

Specialisation within the prefrontal cortex: the ventral prefrontal cortex and associative learning.

R E Passingham1, I Toni, M F Rushworth.   

Abstract

This paper provides evidence that the ventral prefrontal cortex plays a role in the learning of tasks in which subjects must learn to associate visual cues and responses. Imaging with both positron-emission tomography (PET) and functional magnetic-resonance imaging (fMRI) reveals learning-related increases in activity when normal subjects learn visual associative tasks. Evidence is also presented from an event-related fMRI study that activity in this area is time-locked both to the presentation of the visual stimuli and also to the time of the motor response. Finally, it is shown in a study of monkeys that removal of the ventral prefrontal area 12 (including 45 A) impairs the ability of monkeys to relearn a visual associative task (visual matching), even though there were no demands on working memory. It is, therefore, proposed that the ventral prefrontal cortex constitutes part of the circuitry via which associations are formed between visual cues and the actions or choices that they specify. On the basis of the existing anatomical and electrophysiological data, it is argued that the prefrontal cortex is the only area that can represent cues, responses and outcomes.

Mesh:

Year:  2000        PMID: 10933215     DOI: 10.1007/s002210000405

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  51 in total

1.  Control of response selection by reinforcer value requires interaction of amygdala and orbital prefrontal cortex.

Authors:  M G Baxter; A Parker; C C Lindner; A D Izquierdo; E A Murray
Journal:  J Neurosci       Date:  2000-06-01       Impact factor: 6.167

2.  Differential involvement of parietal and precentral regions in movement preparation and motor intention.

Authors:  Daniel Thoenissen; Karl Zilles; Ivan Toni
Journal:  J Neurosci       Date:  2002-10-15       Impact factor: 6.167

3.  Neuronal activity in the monkey striatum during conditional visuomotor learning.

Authors:  Fadila Hadj-Bouziane; Driss Boussaoud
Journal:  Exp Brain Res       Date:  2003-08-28       Impact factor: 1.972

4.  Effects of ecstasy/polydrug use on memory for associative information.

Authors:  Denis T Gallagher; John E Fisk; Catharine Montgomery; Jeannie Judge; Sarita J Robinson; Paul J Taylor
Journal:  Psychopharmacology (Berl)       Date:  2012-08       Impact factor: 4.530

Review 5.  Integration of faces and vocalizations in ventral prefrontal cortex: implications for the evolution of audiovisual speech.

Authors:  Lizabeth M Romanski
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-20       Impact factor: 11.205

6.  Neural basis of individual differences in synesthetic experiences.

Authors:  Romke Rouw; H Steven Scholte
Journal:  J Neurosci       Date:  2010-05-05       Impact factor: 6.167

7.  The implementation of verbal instructions: an fMRI study.

Authors:  Egbert Hartstra; Simone Kühn; Tom Verguts; Marcel Brass
Journal:  Hum Brain Mapp       Date:  2010-12-07       Impact factor: 5.038

Review 8.  The effects of prefrontal lesions on working memory performance and theory.

Authors:  Clayton E Curtis; Mark D'Esposito
Journal:  Cogn Affect Behav Neurosci       Date:  2004-12       Impact factor: 3.282

Review 9.  Bootstrapping conceptual deduction using physical connection: rethinking frontal cortex.

Authors:  Adele Diamond
Journal:  Trends Cogn Sci       Date:  2006-04-03       Impact factor: 20.229

10.  Corticolimbic mechanisms in the control of trial and error learning.

Authors:  Phan Luu; Matthew Shane; Nikki L Pratt; Don M Tucker
Journal:  Brain Res       Date:  2008-10-14       Impact factor: 3.252

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.