Literature DB >> 20807055

Brain areas consistently linked to individual differences in perceptual decision-making in younger as well as older adults before and after training.

Simone Kühn1, Florian Schmiedek, Björn Schott, Roger Ratcliff, Hans-Jochen Heinze, Emrah Düzel, Ulman Lindenberger, Martin Lövden.   

Abstract

Perceptual decision-making performance depends on several cognitive and neural processes. Here, we fit Ratcliff's diffusion model to accuracy data and reaction-time distributions from one numerical and one verbal two-choice perceptual-decision task to deconstruct these performance measures into the rate of evidence accumulation (i.e., drift rate), response criterion setting (i.e., boundary separation), and peripheral aspects of performance (i.e., nondecision time). These theoretical processes are then related to individual differences in brain activation by means of multiple regression. The sample consisted of 24 younger and 15 older adults performing the task in fMRI before and after 100 daily 1-hr behavioral training sessions in a multitude of cognitive tasks. Results showed that individual differences in boundary separation were related to striatal activity, whereas differences in drift rate were related to activity in the inferior parietal lobe. These associations were not significantly modified by adult age or perceptual expertise. We conclude that the striatum is involved in regulating response thresholds, whereas the inferior parietal lobe might represent decision-making evidence related to letters and numbers.

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Year:  2010        PMID: 20807055     DOI: 10.1162/jocn.2010.21564

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


  21 in total

1.  The dynamics of change in striatal activity following updating training.

Authors:  Simone Kühn; Florian Schmiedek; Hannes Noack; Elisabeth Wenger; Nils C Bodammer; Ulman Lindenberger; Martin Lövden
Journal:  Hum Brain Mapp       Date:  2012-02-14       Impact factor: 5.038

2.  Characterizing the role of the pre-SMA in the control of speed/accuracy trade-off with directed functional connectivity mapping and multiple solution reduction.

Authors:  Alexander Weigard; Adriene Beltz; Sukruth Nagarimadugu Reddy; Stephen J Wilson
Journal:  Hum Brain Mapp       Date:  2018-12-19       Impact factor: 5.038

Review 3.  Categorization = decision making + generalization.

Authors:  Carol A Seger; Erik J Peterson
Journal:  Neurosci Biobehav Rev       Date:  2013-03-30       Impact factor: 8.989

4.  Model-based assessment and neural correlates of spatial memory deficits in mild cognitive impairment.

Authors:  Alexander S Weigard; K Sathian; Benjamin M Hampstead
Journal:  Neuropsychologia       Date:  2019-11-05       Impact factor: 3.139

5.  Age differences in diffusion model parameters: a meta-analysis.

Authors:  Maximilian Theisen; Veronika Lerche; Mischa von Krause; Andreas Voss
Journal:  Psychol Res       Date:  2020-06-13

6.  A diffusion modeling approach to understanding contextual cueing effects in children with ADHD.

Authors:  Alexander Weigard; Cynthia Huang-Pollock
Journal:  J Child Psychol Psychiatry       Date:  2014-05-03       Impact factor: 8.982

7.  High risk cohort study for psychiatric disorders in childhood: rationale, design, methods and preliminary results.

Authors:  Giovanni Abrahão Salum; Ary Gadelha; Pedro Mario Pan; Tais Silveira Moriyama; Ana Soledade Graeff-Martins; Ana Carina Tamanaha; Pedro Alvarenga; Fernanda Valle Krieger; Bacy Fleitlich-Bilyk; Andrea Jackowski; João Ricardo Sato; Elisa Brietzke; Guilherme Vanoni Polanczyk; Helena Brentani; Jair de Jesus Mari; Maria Conceição Do Rosário; Gisele Gus Manfro; Rodrigo Affonseca Bressan; Marcos Tomanik Mercadante; Eurípedes Constantino Miguel; Luis Augusto Rohde
Journal:  Int J Methods Psychiatr Res       Date:  2014-12-03       Impact factor: 4.035

8.  Integrating impairments in reaction time and executive function using a diffusion model framework.

Authors:  Sarah L Karalunas; Cynthia L Huang-Pollock
Journal:  J Abnorm Child Psychol       Date:  2013-07

9.  Decomposing attention-deficit/hyperactivity disorder (ADHD)-related effects in response speed and variability.

Authors:  Sarah L Karalunas; Cynthia L Huang-Pollock; Joel T Nigg
Journal:  Neuropsychology       Date:  2012-11       Impact factor: 3.295

10.  The neural representation of intrusive thoughts.

Authors:  Simone Kühn; Florian Schmiedek; Annette Brose; Björn H Schott; Ulman Lindenberger; Martin Lövden
Journal:  Soc Cogn Affect Neurosci       Date:  2012-05-03       Impact factor: 3.436

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