2021
DOI: 10.1101/2021.06.04.447084
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Characterizing the middle-age neurophysiology using EEG/MEG

Abstract: Middle adulthood - the period of life between 40 and 60 years of age - is accompanied by important physical and emotional changes, as well as cognitive and neuronal ones. Nevertheless, middle age is often overlooked in neuroscience under the assumption that this is a time of relative stability, although cognitive decline, as well as changes in brain structure and function are well-established by the age of 60. Here we characterized the middle-aged brain in the context of healthy younger and older adults by ass… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

1
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(2 citation statements)
references
References 76 publications
(114 reference statements)
1
1
0
Order By: Relevance
“…Importantly, our study reaffirms that midlife is a turning point for spontaneous network oscillatory dynamics underlying language performance, consistent with previous MEG 62,63 , time-averaged fMRI 12 , and diffusion-weighted imaging (DWI) 19,64 . This further underscores the importance of studying the middle-aged brain from a multimodal perspective 65,66 as this period of life could be "prognostic of future cognitive outcomes" 67 .…”
Section: Discussionsupporting
confidence: 90%
See 1 more Smart Citation
“…Importantly, our study reaffirms that midlife is a turning point for spontaneous network oscillatory dynamics underlying language performance, consistent with previous MEG 62,63 , time-averaged fMRI 12 , and diffusion-weighted imaging (DWI) 19,64 . This further underscores the importance of studying the middle-aged brain from a multimodal perspective 65,66 as this period of life could be "prognostic of future cognitive outcomes" 67 .…”
Section: Discussionsupporting
confidence: 90%
“…Given the nonlinear age trajectory reported in MEG studies 62 , we generated two piecewise polynomials that we included as separate variables in our models. The quadratic term used to generate the polynomials was centered at 55 years old based on converging evidence in different imaging modalities 19,66,67,113 and matched to the original scale of the age variable.…”
Section: Data Preparationmentioning
confidence: 99%