Literature DB >> 33636609

Cortical oscillations that underlie working memory are altered in adults with cerebral palsy.

Rashelle M Hoffman1, Michael P Trevarrow2, Hannah R Bergwell2, Christine M Embury2, Elizabeth Heinrichs-Graham2, Tony W Wilson2, Max J Kurz3.   

Abstract

OBJECTIVE: This investigation used magnetoencephalography (MEG) to identify the neurophysiological mechanisms contributing to the altered cognition seen in adults with cerebral palsy (CP).
METHODS: Adults with CP (GMFCS levels I-IV) and demographically-matched controls completed a Sternberg-type working memory task during MEG. Secondarily, they completed the National Institutes of Health (NIH) cognitive toolbox. Beamforming was used to image the significant MEG oscillatory responses and the resulting images were examined using statistical parametric mapping to identify cortical activity that differed between groups.
RESULTS: Both groups had a left-lateralized decrease in alpha-beta (11-16 Hz) power across the occipital, temporal, and prefrontal cortices during encoding, as well as an increase in alpha (9-13 Hz) power across the occipital cortices during maintenance. The strength of alpha-beta oscillations in the prefrontal cortices were weaker in those with CP during encoding. Weaker alpha-beta oscillation within the prefrontal cortex was associated with poorer performance on the NIH toolbox and a higher GMFCS level.
CONCLUSIONS: Alpha-beta aberrations may impact the basic encoding of information in adults with CP, which impacts their overall cognition. Altered alpha-beta oscillation might be connected with gross motor function. SIGNIFICANCE: This experimental work highlights the aberrant alpha-beta during encoding as possible neurophysiological mechanism of the cognitive deficiencies.
Copyright © 2021 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Alpha; Beta; Encoding; Magnetoencephalography; Maintenance

Mesh:

Year:  2021        PMID: 33636609      PMCID: PMC8218310          DOI: 10.1016/j.clinph.2020.12.029

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  64 in total

Review 1.  A new approach to neuroimaging with magnetoencephalography.

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Authors:  Arjan Hillebrand; Gareth R Barnes
Journal:  Int Rev Neurobiol       Date:  2005       Impact factor: 3.230

3.  Nonparametric statistical testing of EEG- and MEG-data.

Authors:  Eric Maris; Robert Oostenveld
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Review 4.  Working memory.

Authors:  A Baddeley
Journal:  Science       Date:  1992-01-31       Impact factor: 47.728

5.  Cognitive correlates of mathematical achievement in children with cerebral palsy and typically developing children.

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6.  Prevalence of cerebral palsy, co-occurring autism spectrum disorders, and motor functioning - Autism and Developmental Disabilities Monitoring Network, USA, 2008.

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8.  Attentional and executive impairments in children with spastic cerebral palsy.

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Review 9.  Clinical prognostic messages from a systematic review on cerebral palsy.

Authors:  Iona Novak; Monique Hines; Shona Goldsmith; Richard Barclay
Journal:  Pediatrics       Date:  2012-10-08       Impact factor: 7.124

10.  Brain magnetic resonance imaging is a predictor of bimanual performance and executive function in children with unilateral cerebral palsy.

Authors:  Alison Crichton; Michael Ditchfield; Stellamay Gwini; Margaret Wallen; Megan Thorley; Jenny Bracken; Adrienne Harvey; Catherine Elliott; Iona Novak; Brian Hoare
Journal:  Dev Med Child Neurol       Date:  2020-01-22       Impact factor: 5.449

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  2 in total

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  2 in total

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