Literature DB >> 21865456

Effects of training of processing speed on neural systems.

Hikaru Takeuchi1, Yasuyuki Taki, Hiroshi Hashizume, Yuko Sassa, Tomomi Nagase, Rui Nouchi, Ryuta Kawashima.   

Abstract

Processing speed (PS) training improves performance on untrained PS tasks in the elderly. However, PS training's effects on the PS of young adults and on neural mechanisms are still unknown. In humans, we investigated this issue using psychological measures, voxel-based morphometry, the n-back task [a typical task for functional magnetic resonance imaging (fMRI) studies with conditions of 0-back (simple cognitive processes) and 2-back tasks (working memory; WM)], resting-state fMRI for the analysis of functional connectivity between brain regions during rest (resting-FC), and intensive adaptive training of PS. PS training was associated with (1) significant or substantial improvement in the performance of PS measures, (2) changes in the gray matter structures of the left superior temporal gyrus and the bilateral regions around the occipitotemporal junction, (3) changes in functional activity that are related to simple cognitive processes (but not those of WM) in the left perisylvian region, and (4) increased resting-FC between the left perisylvian area and the area that extends to the lingual gyrus and calcarine cortex. These results confirm the PS-training-induced plasticity in PS and the training-induced plasticity of functions and structures that are associated with speeded cognitive processes. The observed neural changes caused by PS training may give us new insights into how PS training, and possibly other cognitive training, can improve PS.

Entities:  

Mesh:

Year:  2011        PMID: 21865456      PMCID: PMC6623215          DOI: 10.1523/JNEUROSCI.2948-11.2011

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  53 in total

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Review 5.  Effects of cognitive training on the structure of intelligence.

Authors:  John Protzko
Journal:  Psychon Bull Rev       Date:  2017-08

6.  Abnormal resting state FMRI activity predicts processing speed deficits in first-episode psychosis.

Authors:  Miklos Argyelan; Juan A Gallego; Delbert G Robinson; Toshikazu Ikuta; Deepak Sarpal; Majnu John; Peter B Kingsley; John Kane; Anil K Malhotra; Philip R Szeszko
Journal:  Neuropsychopharmacology       Date:  2015-01-08       Impact factor: 7.853

7.  Associations among imaging measures (2): the association between gray matter concentration and task-induced activation changes.

Authors:  Hikaru Takeuchi; Yasuyuki Taki; Rui Nouchi; Hiroshi Hashizume; Yuko Sassa; Atsushi Sekuguchi; Yuka Kotozaki; Seishu Nakagawa; Tomomi Nagase; Carlos Makoto Miyauchi; Ryuta Kawashima
Journal:  Hum Brain Mapp       Date:  2012-09-11       Impact factor: 5.038

8.  An examination of mediators of the transfer of cognitive speed of processing training to everyday functional performance.

Authors:  Jerri D Edwards; Christine L Ruva; Jennifer L O'Brien; Christine B Haley; Jennifer J Lister
Journal:  Psychol Aging       Date:  2012-10-15

9.  Intensive reasoning training alters patterns of brain connectivity at rest.

Authors:  Allyson P Mackey; Alison T Miller Singley; Silvia A Bunge
Journal:  J Neurosci       Date:  2013-03-13       Impact factor: 6.167

10.  NIH Toolbox Cognitive Battery (NIHTB-CB): the NIHTB Pattern Comparison Processing Speed Test.

Authors:  Noelle E Carlozzi; David S Tulsky; Nancy D Chiaravalloti; Jennifer L Beaumont; Sandra Weintraub; Kevin Conway; Richard C Gershon
Journal:  J Int Neuropsychol Soc       Date:  2014-06-24       Impact factor: 2.892

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