Back

Women with a history of previous childbirths show less evident white matter brain ageing

Voldsbekk, I.; Barth, C.; Maximov, I. I.; Kaufmann, T.; Beck, D.; Richard, G.; Moberget, T.; Westlye, L. T.; de Lange, A.-M. G.

2020-11-22 neuroscience
10.1101/2020.11.20.391698 bioRxiv
Show abstract

Maternal brain adaptations occur in response to pregnancy, but little is known about how parity impacts white matter (WM) and WM ageing trajectories later in life. Utilising global and regional brain-age prediction based on multi-shell diffusion MRI data, we investigated the association between previous childbirths and WM brain age in 8,895 women in the UK Biobank cohort (age range = 54 - 81 years). The results showed that number of previous childbirths was negatively associated with WM brain age, potentially indicating a protective effect of parity on brain WM later in life. Both global WM and grey matter brain age estimates showed unique contributions to the association with previous childbirths, suggesting partly independent processes. Corpus callosum contributed uniquely to the global WM association with previous childbirths, and showed a stronger relationship relative to several other tracts. While our findings demonstrate a link between reproductive history and brain WM characteristics later in life, longitudinal studies are required to establish causality and determine how parity may influence womens WM trajectories across the lifespan.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Human Brain Mapping
○ 329 papers in training set
Top 0.1%
18.3%
Similar papers in this journal
2
GeroScience
○ 109 papers in training set
Top 0.2%
11.8%
Similar papers in this journal
3
Imaging Neuroscience
● 282 papers in training set
Top 0.8%
6.7%
Similar papers in this journal
4
NeuroImage
○ 903 papers in training set
Top 2%
6.7%
Similar papers in this journal
5
eLife
● 5828 papers in training set
Top 31%
4.0%
6
PLOS ONE
● 5266 papers in training set
Top 33%
4.0%
Similar papers in this journal
50% of probability mass above
7
NeuroImage: Clinical
○ 144 papers in training set
Top 0.7%
4.0%
8
Scientific Reports
○ 3612 papers in training set
Top 33%
3.2%
9
Translational Psychiatry
○ 260 papers in training set
Top 2%
2.8%
10
Aging
○ 75 papers in training set
Top 0.5%
2.6%
11
Molecular Psychiatry
○ 282 papers in training set
Top 3%
2.4%
12
Aging Cell
○ 165 papers in training set
Top 1%
2.4%
13
Nature Communications
○ 5641 papers in training set
Top 42%
2.1%
14
Neurobiology of Aging
○ 107 papers in training set
Top 0.7%
2.1%
15
Communications Biology
○ 993 papers in training set
Top 12%
1.9%
16
PLOS Computational Biology
● 1863 papers in training set
Top 16%
1.4%
17
Biology of Sex Differences
○ 32 papers in training set
Top 0.3%
1.3%
18
Cerebral Cortex
◐ 396 papers in training set
Top 4%
1.1%
19
Frontiers in Aging Neuroscience
○ 74 papers in training set
Top 1%
1.0%
20
BMC Medicine
○ 176 papers in training set
Top 4%
1.0%
21
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
○ 42 papers in training set
Top 0.9%
0.8%
22
Alzheimer's & Dementia
177 papers in training set
Top 2%
0.8%
23
Brain Communications
◐ 166 papers in training set
Top 4%
0.8%
24
Brain Structure and Function
○ 93 papers in training set
Top 1%
0.8%
25
Alzheimer's Research & Therapy
○ 57 papers in training set
Top 1%
0.6%
26
Pain
○ 78 papers in training set
Top 1%
0.6%
27
GigaScience
◐ 212 papers in training set
Top 5%
0.6%
28
eneuro
● 439 papers in training set
Top 8%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.