Literature DB >> 34409569

Cognitive Training in Parkinson's Disease Induces Local, Not Global, Changes in White Matter Microstructure.

Chris Vriend1,2, Tim D van Balkom3,4, Henk W Berendse5, Ysbrand D van der Werf4, Odile A van den Heuvel3,4.   

Abstract

Previous studies showed that cognitive training can improve cognitive performance in various neurodegenerative diseases but little is known about the effects of cognitive training on the brain. Here, we investigated the effects of our cognitive training paradigm, COGTIPS, on regional white matter microstructure and structural network topology. We previously showed that COGTIPS has small, positive effects on processing speed. A subsample of 79 PD patients (N = 40 cognitive training group, N = 39 active control group) underwent multi-shell diffusion-weighted imaging pre- and post-intervention. Our pre-registered analysis plan (osf.io/cht6g) entailed investigating white matter microstructural integrity (e.g., fractional anisotropy) in five tracts of interest, including the anterior thalamic radiation (ATR), whole-brain tract-based spatial statistics (TBSS), and the topology of the structural network. Relative to the active control condition, cognitive training had no effect on topology of the structural network or whole-brain TBSS. Cognitive training did lead to a reduction in fractional anisotropy in the ATR (B [SE]: - 0.32 [0.12], P = 0.01). This reduction was associated with faster responses on the Tower of London task (r = 0.42, P = 0.007), but this just fell short of our statistical threshold (P < 0.006). Post hoc "fixel-based" analyses showed that this was not due to changes in fiber density and cross section. This suggests that the observed effect in the ATR is due to training-induced alterations in neighboring fibers running through the same voxels, such as intra-striatal and thalamo-striatal fibers. These results indicate that 8 weeks of cognitive training does not alter network topology, but has subtle local effects on structural connectivity.
© 2021. The Author(s).

Entities:  

Keywords:  Cognitive training; Diffusion; Neuroimaging; Parkinson’s disease; Structural connectivity

Mesh:

Year:  2021        PMID: 34409569      PMCID: PMC8804148          DOI: 10.1007/s13311-021-01103-9

Source DB:  PubMed          Journal:  Neurotherapeutics        ISSN: 1878-7479            Impact factor:   7.620


  47 in total

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Authors:  Stephen M Smith; Mark Jenkinson; Mark W Woolrich; Christian F Beckmann; Timothy E J Behrens; Heidi Johansen-Berg; Peter R Bannister; Marilena De Luca; Ivana Drobnjak; David E Flitney; Rami K Niazy; James Saunders; John Vickers; Yongyue Zhang; Nicola De Stefano; J Michael Brady; Paul M Matthews
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

2.  SIFT2: Enabling dense quantitative assessment of brain white matter connectivity using streamlines tractography.

Authors:  Robert E Smith; Jacques-Donald Tournier; Fernando Calamante; Alan Connelly
Journal:  Neuroimage       Date:  2015-07-08       Impact factor: 6.556

3.  Enhanced structural connectivity within a brain sub-network supporting working memory and engagement processes after cognitive training.

Authors:  Francisco J Román; Yasser Iturria-Medina; Kenia Martínez; Sherif Karama; Miguel Burgaleta; Alan C Evans; Susanne M Jaeggi; Roberto Colom
Journal:  Neurobiol Learn Mem       Date:  2017-03-18       Impact factor: 2.877

Review 4.  The Alzheimer's Disease Neuroimaging Initiative 3: Continued innovation for clinical trial improvement.

Authors:  Michael W Weiner; Dallas P Veitch; Paul S Aisen; Laurel A Beckett; Nigel J Cairns; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; John C Morris; Ronald C Petersen; Jennifer Salazar; Andrew J Saykin; Leslie M Shaw; Arthur W Toga; John Q Trojanowski
Journal:  Alzheimers Dement       Date:  2016-12-05       Impact factor: 21.566

5.  Changes of brain structural network connection in Parkinson's disease patients with mild cognitive dysfunction: a study based on diffusion tensor imaging.

Authors:  Wanyi Wang; Mingjin Mei; Yuyuan Gao; Biao Huang; Yihui Qiu; Yuhu Zhang; Limin Wang; Jiehao Zhao; Zhiheng Huang; Lijuan Wang; Kun Nie
Journal:  J Neurol       Date:  2019-12-02       Impact factor: 4.849

6.  Connectivity-based fixel enhancement: Whole-brain statistical analysis of diffusion MRI measures in the presence of crossing fibres.

Authors:  David A Raffelt; Robert E Smith; Gerard R Ridgway; J-Donald Tournier; David N Vaughan; Stephen Rose; Robert Henderson; Alan Connelly
Journal:  Neuroimage       Date:  2015-05-22       Impact factor: 6.556

7.  Investigating white matter fibre density and morphology using fixel-based analysis.

Authors:  David A Raffelt; J-Donald Tournier; Robert E Smith; David N Vaughan; Graeme Jackson; Gerard R Ridgway; Alan Connelly
Journal:  Neuroimage       Date:  2016-09-14       Impact factor: 6.556

8.  Structural brain signature of cognitive decline in Parkinson's disease: DTI-based evidence from the LANDSCAPE study.

Authors:  Martin Gorges; Hans-Peter Müller; Inga Liepelt-Scarfone; Alexander Storch; Richard Dodel; Rüdiger Hilker-Roggendorf; Daniela Berg; Martin S Kunz; Elke Kalbe; Simon Baudrexel; Jan Kassubek
Journal:  Ther Adv Neurol Disord       Date:  2019-05-16       Impact factor: 6.570

9.  Increased brain connectivity and activation after cognitive rehabilitation in Parkinson's disease: a randomized controlled trial.

Authors:  María Díez-Cirarda; Natalia Ojeda; Javier Peña; Alberto Cabrera-Zubizarreta; Olaia Lucas-Jiménez; Juan Carlos Gómez-Esteban; Maria Ángeles Gómez-Beldarrain; Naroa Ibarretxe-Bilbao
Journal:  Brain Imaging Behav       Date:  2017-12       Impact factor: 3.978

10.  White Matter Changes on Diffusion Tensor Imaging in the FINGER Randomized Controlled Trial.

Authors:  Ruth Stephen; Alina Solomon; Tiia Ngandu; Esko Levälahti; Juha O Rinne; Nina Kemppainen; Riitta Parkkola; Riitta Antikainen; Timo Strandberg; Miia Kivipelto; Hilkka Soininen; Yawu Liu
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

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  1 in total

1.  Eight-week multi-domain cognitive training does not impact large-scale resting-state brain networks in Parkinson's disease.

Authors:  Tim D van Balkom; Odile A van den Heuvel; Henk W Berendse; Ysbrand D van der Werf; Chris Vriend
Journal:  Neuroimage Clin       Date:  2022-01-30       Impact factor: 4.881

  1 in total

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