Literature DB >> 35188831

MEG Oscillatory Slowing in Cognitive Impairment is Associated with the Presence of Subjective Cognitive Decline.

Ricardo Bruña1,2, David López-Sanz2,3, Fernando Maestú4,5, Ann D Cohen6, Anto Bagic7, Ted Huppert8, Tae Kim9, Rebecca E Roush10, Betz Snitz10, James T Becker10,11,12.   

Abstract

The mechanisms behind Alzheimer's disease are not yet fully described, and changes in the electrophysiology of patients across the continuum of the disease could help to understand them. In this work, we study the power spectral distribution of a set of 129 individuals from the Connectomics of Brian Aging and Dementia project.From this sample, we acquired task-free data, with eyes closed, and estimated the power spectral distribution in source space. We compared the spectral profiles of three groups of individuals: 70 healthy controls, 27 patients with amnestic MCI, and 32 individuals showing cognitive impairment without subjective complaints (IWOC).The results showed a slowing of the brain activity in the aMCI patients, when compared to both the healthy controls and the IWOC individuals. These differences appeared both as a decrease in power for high frequency oscillations and an increase in power in alpha oscillations. The slowing of the spectrum was significant mainly in parietal and medial frontal areas.We were able to validate the slowing of the brain activity in individuals with aMCI, appearing in our sample in areas related to the default mode network. However, this pattern did not appear in the IWOC individuals, suggesting that their condition is not part of the AD continuum. This work raises interesting questions about this group of individuals, and the underlying brain mechanisms behind their cognitive impairment.

Entities:  

Keywords:  Cluster-based permutation test; Mild cognitive impairment; Source reconstruction; Spectral power analysis; magnetoencephalography

Year:  2022        PMID: 35188831      PMCID: PMC9392809          DOI: 10.1177/15500594221072708

Source DB:  PubMed          Journal:  Clin EEG Neurosci        ISSN: 1550-0594            Impact factor:   2.046


  46 in total

1.  The magnetic lead field theorem in the quasi-static approximation and its use for magnetoencephalography forward calculation in realistic volume conductors.

Authors:  Guido Nolte
Journal:  Phys Med Biol       Date:  2003-11-21       Impact factor: 3.609

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

Authors:  Eric Maris; Robert Oostenveld
Journal:  J Neurosci Methods       Date:  2007-04-10       Impact factor: 2.390

3.  Assessment of neurological and behavioural function: the NIH Toolbox.

Authors:  Richard C Gershon; David Cella; Nathan A Fox; Richard J Havlik; Hugh C Hendrie; Molly V Wagster
Journal:  Lancet Neurol       Date:  2010-02       Impact factor: 44.182

4.  Practice guideline update summary: Mild cognitive impairment: Report of the Guideline Development, Dissemination, and Implementation Subcommittee of the American Academy of Neurology.

Authors:  Ronald C Petersen; Oscar Lopez; Melissa J Armstrong; Thomas S D Getchius; Mary Ganguli; David Gloss; Gary S Gronseth; Daniel Marson; Tamara Pringsheim; Gregory S Day; Mark Sager; James Stevens; Alexander Rae-Grant
Journal:  Neurology       Date:  2017-12-27       Impact factor: 9.910

5.  Cholinergic and peptidergic projections from the medial septum and the nucleus of the diagonal band of Broca to dorsal hippocampus, cingulate cortex and olfactory bulb: a combined wheatgerm agglutinin-apohorseradish peroxidase-gold immunohistochemical study.

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Journal:  Neuroscience       Date:  1989       Impact factor: 3.590

6.  Detection of abnormal memory decline in mild cases of Alzheimer's disease using CERAD neuropsychological measures.

Authors:  K Welsh; N Butters; J Hughes; R Mohs; A Heyman
Journal:  Arch Neurol       Date:  1991-03

Review 7.  Alzheimer's disease: a general introduction and pathomechanism.

Authors:  Verena H Finder
Journal:  J Alzheimers Dis       Date:  2010       Impact factor: 4.472

8.  MEG spectral analysis in subtypes of mild cognitive impairment.

Authors:  M E López; P Cuesta; P Garcés; P N Castellanos; S Aurtenetxe; R Bajo; A Marcos; M L Delgado; P Montejo; J L López-Pantoja; F Maestú; A Fernandez
Journal:  Age (Dordr)       Date:  2014-02-16

Review 9.  The Role of Magnetoencephalography in the Early Stages of Alzheimer's Disease.

Authors:  David López-Sanz; Noelia Serrano; Fernando Maestú
Journal:  Front Neurosci       Date:  2018-08-15       Impact factor: 4.677

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