Literature DB >> 20044888

Learning shapes the representation of visual categories in the aging human brain.

Stephen D Mayhew1, Sheng Li, Joshua K Storrar, Kamen A Tsvetanov, Zoe Kourtzi.   

Abstract

The ability to make categorical decisions and interpret sensory experiences is critical for survival and interactions across the lifespan. However, little is known about the human brain mechanisms that mediate the learning and representation of visual categories in aging. Here we combine behavioral measurements and fMRI measurements to investigate the neural processes that mediate flexible category learning in the aging human brain. Our findings show that training changes the decision criterion (i.e., categorical boundary) that young and older observers use for making categorical judgments. Comparing the behavioral choices of human observers with those of a pattern classifier based upon multivoxel fMRI signals, we demonstrate learning-dependent changes in similar cortical areas for young and older adults. In particular, we show that neural signals in occipito-temporal and posterior parietal regions change through learning to reflect the perceived visual categories. Information in these areas about the perceived visual categories is preserved in aging, whereas information content is compromised in more anterior parietal and frontal circuits. Thus, these findings provide novel evidence for flexible category learning in aging that shapes the neural representations of visual categories to reflect the observers' behavioral judgments.

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Year:  2010        PMID: 20044888     DOI: 10.1162/jocn.2010.21415

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  10 in total

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2.  Perceptual learning, aging, and improved visual performance in early stages of visual processing.

Authors:  George J Andersen; Rui Ni; Jeffrey D Bower; Takeo Watanabe
Journal:  J Vis       Date:  2010-11-04       Impact factor: 2.240

3.  External distraction impairs categorization performance in older adults.

Authors:  Peter E Wais; Adam Gazzaley
Journal:  Psychol Aging       Date:  2014-09

4.  Learning acts on distinct processes for visual form perception in the human brain.

Authors:  Stephen D Mayhew; Sheng Li; Zoe Kourtzi
Journal:  J Neurosci       Date:  2012-01-18       Impact factor: 6.167

5.  Dissociable circuits for visual shape learning in the young and aging human brain.

Authors:  Stephen D Mayhew; Zoe Kourtzi
Journal:  Front Hum Neurosci       Date:  2013-03-27       Impact factor: 3.169

6.  The effects of age on resting-state BOLD signal variability is explained by cardiovascular and cerebrovascular factors.

Authors:  Kamen A Tsvetanov; Richard N A Henson; P Simon Jones; Henk Mutsaerts; Delia Fuhrmann; Lorraine K Tyler; James B Rowe
Journal:  Psychophysiology       Date:  2020-11-18       Impact factor: 4.016

7.  Distractibility during retrieval of long-term memory: domain-general interference, neural networks and increased susceptibility in normal aging.

Authors:  Peter E Wais; Adam Gazzaley
Journal:  Front Psychol       Date:  2014-04-07

Review 8.  A systematic review of type 2 diabetes mellitus and hypertension in imaging studies of cognitive aging: time to establish new norms.

Authors:  Liesel-Ann C Meusel; Nisha Kansal; Ekaterina Tchistiakova; William Yuen; Bradley J MacIntosh; Carol E Greenwood; Nicole D Anderson
Journal:  Front Aging Neurosci       Date:  2014-07-08       Impact factor: 5.750

9.  The effect of ageing on fMRI: Correction for the confounding effects of vascular reactivity evaluated by joint fMRI and MEG in 335 adults.

Authors:  Kamen A Tsvetanov; Richard N A Henson; Lorraine K Tyler; Simon W Davis; Meredith A Shafto; Jason R Taylor; Nitin Williams; James B Rowe
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Review 10.  Separating vascular and neuronal effects of age on fMRI BOLD signals.

Authors:  Kamen A Tsvetanov; Richard N A Henson; James B Rowe
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-11-16       Impact factor: 6.237

  10 in total

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