Literature DB >> 19643119

Prefrontal contributions to rule-based and information-integration category learning.

David M Schnyer1, W Todd Maddox, Shawn Ell, Sarah Davis, Jenni Pacheco, Mieke Verfaellie.   

Abstract

Previous research revealed that the basal ganglia play a critical role in category learning [Ell, S. W., Marchant, N. L., & Ivry, R. B. (2006). Focal putamen lesions impair learning in rule-based, but not information-integration categorization tasks. Neuropsychologia, 44(10), 1737-1751; Maddox, W. T. & Filoteo, J. V. (2007). Modeling visual attention and category learning in amnesiacs, striatal-damaged patients and normal aging. In Advances in Clinical-cognitive science: formal modeling and assessment of processes and symptoms (pp. 113-146). Washington DC: American Psychological Association] but less is known about the specific role of prefrontal cortical (PFC) regions in category learning. The current study examined rule-based (RB) and information-integration (II) category learning in 13 patients with damage primarily to ventral PFC regions. After 600 learning trials with feedback, patients were significantly less accurate than matched controls on both RB and II learning. Model-based analysis identified subgroups of patients whose impaired performance in each task was due to the use of sub-optimal learning strategies. Those patients impaired at either II or RB learning, performed significantly worse on the Wisconsin Card Sorting Test, a test of abstract rule formation and the ability to shift and maintain rules. Lesion analysis pointed to damage in a fairly circumscribed region of ventral medial prefrontal cortex as common to the impaired group of patients and those patients without ventral PFC damage mostly performed normally. These results provide further evidence that the ventromedial prefrontal cortex is critically important for the ability to monitor and integrate feedback in order to select and maintain optimal learning strategies.

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Year:  2009        PMID: 19643119      PMCID: PMC2755557          DOI: 10.1016/j.neuropsychologia.2009.07.011

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  62 in total

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2.  Category number impacts rule-based but not information-integration category learning: further evidence for dissociable category-learning systems.

Authors:  W Todd Maddox; J Vincent Filoteo; Kelli D Hejl; A David Ing
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2004-01       Impact factor: 3.051

3.  A comparison of abstract rules in the prefrontal cortex, premotor cortex, inferior temporal cortex, and striatum.

Authors:  Rahmat Muhammad; Jonathan D Wallis; Earl K Miller
Journal:  J Cogn Neurosci       Date:  2006-06       Impact factor: 3.225

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5.  The Psychophysics Toolbox.

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6.  Cortical and subcortical brain regions involved in rule-based category learning.

Authors:  J Vincent Filoteo; W Todd Maddox; Alan N Simmons; A David Ing; Xavier E Cagigas; Scott Matthews; Martin P Paulus
Journal:  Neuroreport       Date:  2005-02-08       Impact factor: 1.837

7.  A neuropsychological theory of multiple systems in category learning.

Authors:  F G Ashby; L A Alfonso-Reese; A U Turken; E M Waldron
Journal:  Psychol Rev       Date:  1998-07       Impact factor: 8.934

8.  Reward and social valuation deficits following ventromedial prefrontal damage.

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Journal:  J Cogn Neurosci       Date:  2009-01       Impact factor: 3.225

9.  Human midbrain sensitivity to cognitive feedback and uncertainty during classification learning.

Authors:  A R Aron; D Shohamy; J Clark; C Myers; M A Gluck; R A Poldrack
Journal:  J Neurophysiol       Date:  2004-03-10       Impact factor: 2.714

Review 10.  The role of orbitofrontal cortex in decision making: a component process account.

Authors:  Lesley K Fellows
Journal:  Ann N Y Acad Sci       Date:  2007-09-10       Impact factor: 5.691

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  16 in total

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Authors:  F Gregory Ashby; W Todd Maddox
Journal:  Ann N Y Acad Sci       Date:  2010-12-23       Impact factor: 5.691

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Authors:  Cynthia L Huang-Pollock; W Todd Maddox; Sarah L Karalunas
Journal:  J Exp Child Psychol       Date:  2011-03-05

3.  Performance Pressure Enhances Speech Learning.

Authors:  W Todd Maddox; Seth Koslov; Han-Gyol Yi; Bharath Chandrasekaran
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4.  Cognitive changes in conjunctive rule-based category learning: An ERP approach.

Authors:  Rahel Rabi; Marc F Joanisse; Tianshu Zhu; John Paul Minda
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5.  Maintenance of relational information in working memory leads to suppression of the sensory cortex.

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6.  Rule-based and information-integration category learning in normal aging.

Authors:  W Todd Maddox; Jennifer Pacheco; Maia Reeves; Bo Zhu; David M Schnyer
Journal:  Neuropsychologia       Date:  2010-06-12       Impact factor: 3.139

7.  The C957T polymorphism in the dopamine receptor D₂ gene modulates domain-general category learning.

Authors:  Zilong Xie; W Todd Maddox; John E McGeary; Bharath Chandrasekaran
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8.  A Comparison of the neural correlates that underlie rule-based and information-integration category learning.

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10.  Erasing the engram: the unlearning of procedural skills.

Authors:  Matthew J Crossley; F Gregory Ashby; W Todd Maddox
Journal:  J Exp Psychol Gen       Date:  2012-10-08
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