Literature DB >> 27477628

Brain structural changes following adaptive cognitive training assessed by Tensor-Based Morphometry (TBM).

Roberto Colom1, Xue Hua2, Kenia Martínez3, Miguel Burgaleta4, Francisco J Román5, Jeffrey L Gunter6, Susanna Carmona3, Susanne M Jaeggi7, Paul M Thompson2.   

Abstract

Tensor-Based Morphometry (TBM) allows the automatic mapping of brain changes across time building 3D deformation maps. This technique has been applied for tracking brain degeneration in Alzheimer's and other neurodegenerative diseases with high sensitivity and reliability. Here we applied TBM to quantify changes in brain structure after completing a challenging adaptive cognitive training program based on the n-back task. Twenty-six young women completed twenty-four training sessions across twelve weeks and they showed, on average, large cognitive improvements. High-resolution MRI scans were obtained before and after training. The computed longitudinal deformation maps were analyzed for answering three questions: (a) Are there differential brain structural changes in the training group as compared with a matched control group? (b) Are these changes related to performance differences in the training program? (c) Are standardized changes in a set of psychological factors (fluid and crystallized intelligence, working memory, and attention control) measured before and after training, related to structural changes in the brain? Results showed (a) greater structural changes for the training group in the temporal lobe, (b) a negative correlation between these changes and performance across training sessions (the greater the structural change, the lower the cognitive performance improvements), and (c) negligible effects regarding the psychological factors measured before and after training.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Brain structural changes; Tensor-Based Morphometry; Working memory training

Mesh:

Year:  2016        PMID: 27477628      PMCID: PMC5384573          DOI: 10.1016/j.neuropsychologia.2016.07.034

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


  46 in total

Review 1.  Neuroimaging studies of working memory: a meta-analysis.

Authors:  Tor D Wager; Edward E Smith
Journal:  Cogn Affect Behav Neurosci       Date:  2003-12       Impact factor: 3.282

2.  Structural brain alterations following 5 days of intervention: dynamic aspects of neuroplasticity.

Authors:  A May; G Hajak; S Gänssbauer; T Steffens; B Langguth; T Kleinjung; P Eichhammer
Journal:  Cereb Cortex       Date:  2006-02-15       Impact factor: 5.357

3.  Cerebellar transcranial direct current stimulation impairs the practice-dependent proficiency increase in working memory.

Authors:  R Ferrucci; S Marceglia; M Vergari; F Cogiamanian; S Mrakic-Sposta; F Mameli; S Zago; S Barbieri; A Priori
Journal:  J Cogn Neurosci       Date:  2008-09       Impact factor: 3.225

4.  Training-induced neuroanatomical plasticity in ADHD: a tensor-based morphometric study.

Authors:  Elseline Hoekzema; Susanna Carmona; J Antoni Ramos-Quiroga; Erika Barba; Anna Bielsa; Virginia Tremols; Mariana Rovira; Juan Carlos Soliva; Miguel Casas; Antoni Bulbena; Adolf Tobeña; Oscar Vilarroya
Journal:  Hum Brain Mapp       Date:  2011-03-01       Impact factor: 5.038

Review 5.  Cortical plasticity: from synapses to maps.

Authors:  D V Buonomano; M M Merzenich
Journal:  Annu Rev Neurosci       Date:  1998       Impact factor: 12.449

6.  Computerized cognitive training restores neural activity within the reality monitoring network in schizophrenia.

Authors:  Karuna Subramaniam; Tracy L Luks; Melissa Fisher; Gregory V Simpson; Srikantan Nagarajan; Sophia Vinogradov
Journal:  Neuron       Date:  2012-02-23       Impact factor: 17.173

7.  On evidence, biases and confounding factors: Response to commentaries.

Authors:  Cibu Thomas; Chris I Baker
Journal:  Neuroimage       Date:  2012-11-14       Impact factor: 6.556

8.  Learning increases the survival of newborn neurons provided that learning is difficult to achieve and successful.

Authors:  Daniel M Curlik; Tracey J Shors
Journal:  J Cogn Neurosci       Date:  2010-10-18       Impact factor: 3.225

9.  Gray matter responsiveness to adaptive working memory training: a surface-based morphometry study.

Authors:  Francisco J Román; Lindsay B Lewis; Chi-Hua Chen; Sherif Karama; Miguel Burgaleta; Kenia Martínez; Claude Lepage; Susanne M Jaeggi; Alan C Evans; William S Kremen; Roberto Colom
Journal:  Brain Struct Funct       Date:  2015-12-23       Impact factor: 3.270

10.  Large-scale automated synthesis of human functional neuroimaging data.

Authors:  Tal Yarkoni; Russell A Poldrack; Thomas E Nichols; David C Van Essen; Tor D Wager
Journal:  Nat Methods       Date:  2011-06-26       Impact factor: 28.547

View more
  3 in total

1.  Quantifying cortical development in typically developing toddlers and young children, 1-6 years of age.

Authors:  Justin Remer; Elise Croteau-Chonka; Douglas C Dean; Sara D'Arpino; Holly Dirks; Dannielle Whiley; Sean C L Deoni
Journal:  Neuroimage       Date:  2017-04-06       Impact factor: 6.556

2.  Computerized cognitive training and brain derived neurotrophic factor during bed rest: mechanisms to protect individual during acute stress.

Authors:  Angelina Passaro; Cecilia Soavi; Uros Marusic; Enrico Rejc; Juana M Sanz; Mario L Morieri; Edoardo Dalla Nora; Voyko Kavcic; Marco V Narici; Carlo Reggiani; Gianni Biolo; Giovanni Zuliani; Stefano Lazzer; Rado Pišot
Journal:  Aging (Albany NY)       Date:  2017-02-03       Impact factor: 5.682

3.  Short-term Sahaja Yoga meditation training modulates brain structure and spontaneous activity in the executive control network.

Authors:  Alessandra Dodich; Maurizio Zollo; Chiara Crespi; Stefano F Cappa; Daniella Laureiro Martinez; Andrea Falini; Nicola Canessa
Journal:  Brain Behav       Date:  2018-11-28       Impact factor: 2.708

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.