Literature DB >> 22298728

Abstract rule learning: the differential effects of lesions in frontal cortex.

Andrew S Kayser1, Mark D'Esposito.   

Abstract

Learning progressively more abstract stimulus-response mappings requires progressively more anterior regions of the lateral frontal cortex. Using an individual differences approach, we studied subjects with frontal lesions performing a hierarchical reinforcement-learning task to investigate how frontal cortex contributes to abstract rule learning. We predicted that subjects with lesions of the left pre-premotor (pre-PMd) cortex, a region implicated in abstract rule learning, would demonstrate impaired acquisition of second-order, as opposed to first-order, rules. We found that 4 subjects with such lesions did indeed demonstrate a second-order rule-learning impairment, but that these subjects nonetheless performed better than subjects with other frontal lesions in a second-order rule condition. This finding resulted from both their restricted exploration of the feature space and the task structure of this condition, for which they identified partially representative first-order rules. Significantly, across all subjects, suboptimal but above-chance performance in this condition correlated with increasing disconnection of left pre-PMd from the putative functional hierarchy, defined by reduced functional connectivity between left pre-PMd and adjacent nodes. These findings support the theory that activity within lateral frontal cortex shapes the search for relevant stimulus-response mappings, while emphasizing that the behavioral correlate of impairments depends critically on task structure.

Entities:  

Mesh:

Year:  2012        PMID: 22298728      PMCID: PMC3513961          DOI: 10.1093/cercor/bhs013

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  32 in total

1.  Rostrolateral prefrontal cortex involvement in relational integration during reasoning.

Authors:  K Christoff; V Prabhakaran; J Dorfman; Z Zhao; J K Kroger; K J Holyoak; J D Gabrieli
Journal:  Neuroimage       Date:  2001-11       Impact factor: 6.556

2.  Multiple model-based reinforcement learning.

Authors:  Kenji Doya; Kazuyuki Samejima; Ken-ichi Katagiri; Mitsuo Kawato
Journal:  Neural Comput       Date:  2002-06       Impact factor: 2.026

Review 3.  Functional-anatomic correlates of control processes in memory.

Authors:  Randy L Buckner
Journal:  J Neurosci       Date:  2003-05-15       Impact factor: 6.167

4.  Dynamic analysis of learning in behavioral experiments.

Authors:  Anne C Smith; Loren M Frank; Sylvia Wirth; Marianna Yanike; Dan Hu; Yasuo Kubota; Ann M Graybiel; Wendy A Suzuki; Emery N Brown
Journal:  J Neurosci       Date:  2004-01-14       Impact factor: 6.167

5.  Differential involvement of left prefrontal cortex in inductive and deductive reasoning.

Authors:  Vinod Goel; Raymond J Dolan
Journal:  Cognition       Date:  2004-10

6.  The Monakow concept of diaschisis: origins and perspectives.

Authors:  Stanley Finger; Peter J Koehler; Caroline Jagella
Journal:  Arch Neurol       Date:  2004-02

7.  Mechanisms of hierarchical reinforcement learning in corticostriatal circuits 1: computational analysis.

Authors:  Michael J Frank; David Badre
Journal:  Cereb Cortex       Date:  2011-06-21       Impact factor: 5.357

Review 8.  Parallel organization of functionally segregated circuits linking basal ganglia and cortex.

Authors:  G E Alexander; M R DeLong; P L Strick
Journal:  Annu Rev Neurosci       Date:  1986       Impact factor: 12.449

9.  The neural basis of human error processing: reinforcement learning, dopamine, and the error-related negativity.

Authors:  Clay B Holroyd; Michael G H Coles
Journal:  Psychol Rev       Date:  2002-10       Impact factor: 8.934

10.  The architecture of cognitive control in the human prefrontal cortex.

Authors:  Etienne Koechlin; Chrystèle Ody; Frédérique Kouneiher
Journal:  Science       Date:  2003-11-14       Impact factor: 47.728

View more
  9 in total

1.  Neural networks supporting switching, hypothesis testing, and rule application.

Authors:  Zhiya Liu; Kurt Braunlich; Hillary S Wehe; Carol A Seger
Journal:  Neuropsychologia       Date:  2015-07-18       Impact factor: 3.139

2.  Connectivity-Defined Subdivisions of the Intraparietal Sulcus Respond Differentially to Abstraction during Decision Making.

Authors:  Melissa Newton; Savannah L Cookson; Mark D'Esposito; Andrew Kayser
Journal:  J Neurosci       Date:  2022-08-29       Impact factor: 6.709

3.  Dissociable Neural Systems Support the Learning and Transfer of Hierarchical Control Structure.

Authors:  Adam Eichenbaum; Jason M Scimeca; Mark D'Esposito
Journal:  J Neurosci       Date:  2020-07-20       Impact factor: 6.167

4.  Impairment in delayed nonmatching to sample following lesions of dorsal prefrontal cortex.

Authors:  Tara L Moore; Stephen P Schettler; Ronald J Killiany; Douglas L Rosene; Mark B Moss
Journal:  Behav Neurosci       Date:  2012-10-22       Impact factor: 1.912

5.  Monitoring the past and choosing the future: the prefrontal cortical influences on voluntary action.

Authors:  H N Phillips; T E Cope; L E Hughes; J Zhang; J B Rowe
Journal:  Sci Rep       Date:  2018-05-08       Impact factor: 4.379

Review 6.  Is There Evidence for a Rostral-Caudal Gradient in Fronto-Striatal Loops and What Role Does Dopamine Play?

Authors:  David A Vogelsang; Mark D'Esposito
Journal:  Front Neurosci       Date:  2018-04-12       Impact factor: 4.677

7.  Improved normalization of lesioned brains via cohort-specific templates.

Authors:  Ioannis Pappas; Henrik Hector; Kari Haws; Brian Curran; Andrew S Kayser; Mark D'Esposito
Journal:  Hum Brain Mapp       Date:  2021-06-18       Impact factor: 5.038

8.  Learning the Abstract General Task Structure in a Rapidly Changing Task Content.

Authors:  Maayan Pereg; Danielle Harpaz; Katrina Sabah; Mattan S Ben-Shachar; Inbar Amir; Gesine Dreisbach; Nachshon Meiran
Journal:  J Cogn       Date:  2021-07-07

9.  Oscillatory dynamics coordinating human frontal networks in support of goal maintenance.

Authors:  Bradley Voytek; Andrew S Kayser; David Badre; David Fegen; Edward F Chang; Nathan E Crone; Josef Parvizi; Robert T Knight; Mark D'Esposito
Journal:  Nat Neurosci       Date:  2015-07-27       Impact factor: 24.884

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.