Literature DB >> 15627580

The neural basis for novel semantic categorization.

Phyllis Koenig1, Edward E Smith, Guila Glosser, Chris DeVita, Peachie Moore, Corey McMillan, Jim Gee, Murray Grossman.   

Abstract

We monitored regional cerebral activity with BOLD fMRI during acquisition of a novel semantic category and subsequent categorization of test stimuli by a rule-based strategy or a similarity-based strategy. We observed different patterns of activation in direct comparisons of rule- and similarity-based categorization. During rule-based category acquisition, subjects recruited anterior cingulate, thalamic, and parietal regions to support selective attention to perceptual features, and left inferior frontal cortex to helps maintain rules in working memory. Subsequent rule-based categorization revealed anterior cingulate and parietal activation while judging stimuli whose conformity with the rules was readily apparent, and left inferior frontal recruitment during judgments of stimuli whose conformity was less apparent. By comparison, similarity-based category acquisition showed recruitment of anterior prefrontal and posterior cingulate regions, presumably to support successful retrieval of previously encountered exemplars from long-term memory, and bilateral temporal-parietal activation for perceptual feature integration. Subsequent similarity-based categorization revealed temporal-parietal, posterior cingulate, and anterior prefrontal activation. These findings suggest that large-scale networks support relatively distinct categorization processes during the acquisition and judgment of semantic category knowledge.

Mesh:

Year:  2004        PMID: 15627580     DOI: 10.1016/j.neuroimage.2004.08.045

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  34 in total

1.  Category learning increases discriminability of relevant object dimensions in visual cortex.

Authors:  Jonathan R Folstein; Thomas J Palmeri; Isabel Gauthier
Journal:  Cereb Cortex       Date:  2012-04-05       Impact factor: 5.357

2.  How the brain learns how few are "many": An fMRI study of the flexibility of quantifier semantics.

Authors:  Stefan Heim; Corey T McMillan; Robin Clark; Laura Baehr; Kylie Ternes; Christopher Olm; Nam Eun Min; Murray Grossman
Journal:  Neuroimage       Date:  2015-10-17       Impact factor: 6.556

3.  Category learning in Alzheimer's disease and normal cognitive aging depends on initial experience of feature variability.

Authors:  Jeffrey S Phillips; Corey T McMillan; Edward E Smith; Murray Grossman
Journal:  Neuropsychologia       Date:  2016-07-06       Impact factor: 3.139

4.  How necessary are the stripes of a tiger? Diagnostic and characteristic features in an fMRI study of word meaning.

Authors:  Murray Grossman; Vanessa Troiani; Phyllis Koenig; Melissa Work; Peachie Moore
Journal:  Neuropsychologia       Date:  2006-11-28       Impact factor: 3.139

5.  Task and semantic relationship influence both the polarity and localization of hemodynamic modulation during lexico-semantic processing.

Authors:  Gina R Kuperberg; Balaji M Lakshmanan; Douglas N Greve; W Caroline West
Journal:  Hum Brain Mapp       Date:  2008-05       Impact factor: 5.038

6.  Narrative speech production: an fMRI study using continuous arterial spin labeling.

Authors:  Vanessa Troiani; Maria A Fernández-Seara; Ze Wang; John A Detre; Sherry Ash; Murray Grossman
Journal:  Neuroimage       Date:  2007-12-15       Impact factor: 6.556

7.  Interaction between process and content in semantic memory: an fMRI study of noun feature knowledge.

Authors:  Jonathan E Peelle; Vanessa Troiani; Murray Grossman
Journal:  Neuropsychologia       Date:  2008-11-11       Impact factor: 3.139

8.  Medial temporal lobe involvement in an implicit memory task: evidence of collaborating implicit and explicit memory systems from FMRI and Alzheimer's disease.

Authors:  Phyllis Koenig; Edward E Smith; Vanessa Troiani; Chivon Anderson; Peachie Moore; Murray Grossman
Journal:  Cereb Cortex       Date:  2008-04-09       Impact factor: 5.357

9.  Regional differences in the developmental trajectory of lateralization of the language network.

Authors:  Madison M Berl; Jessica Mayo; Erin N Parks; Lisa R Rosenberger; John VanMeter; Nan Bernstein Ratner; Chandan J Vaidya; William Davis Gaillard
Journal:  Hum Brain Mapp       Date:  2012-10-03       Impact factor: 5.038

10.  A Comparison of the neural correlates that underlie rule-based and information-integration category learning.

Authors:  Kathryn L Carpenter; Andy J Wills; Abdelmalek Benattayallah; Fraser Milton
Journal:  Hum Brain Mapp       Date:  2016-05-20       Impact factor: 5.038

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