Back

Dissociable contributions of cortical thickness and surface area to cognitive ageing: evidence from multiple longitudinal cohorts.

Demetriou, I.; Correia, M.; Vidal-Pineiro, D.; Apsvalka, D.; Attaheri, A.; Emery, T.; Henson, R. N.

2026-03-22 neuroscience
10.64898/2026.03.20.713139 bioRxiv
Show abstract

Cortical volume, a widely-used marker of brain ageing, is the product of two genetically and developmentally dissociable morphometric features: thickness and area. However, it remains unclear whether these two features have dissociable consequences for cognitive ageing. To address this, we analyse cross-sectional and longitudinal neuroimaging and cognitive data from one discovery cohort (Cam-CAN) and two independent, pre-registered replication cohorts (OASIS-3 and HABS-HD), leveraging wide age ranges across adulthood, different follow-up intervals and diverse population backgrounds. We show that thickness declines more steeply with age than does area, and shows stronger associations with longitudinal change in fluid cognitive abilities, fairly uniformly across the cortex. Cognitive change is also dependent on baseline thickness, independent of thickness change and independent of baseline cognitive ability. In contrast, area is comparatively stable across adulthood, at least until old age, and shows weaker and more heterogeneous associations with cognitive change, despite being a stronger mediator of the effect of polygenic scores on baseline cognitive ability. Together, these findings help to reconcile inconsistencies in the literature, and indicate that thickness provides a more sensitive marker of dynamic neurobiological processes underlying cognitive ageing, whereas area seems to reflect primarily stable, trait-like variation in cognitive ability.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Nature Communications
4913 papers in training set
Top 2%
23.3%
2
eLife
5422 papers in training set
Top 5%
10.5%
3
Aging Cell
144 papers in training set
Top 0.7%
9.5%
4
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 7%
8.7%
50% of probability mass above
5
Cell Reports
1338 papers in training set
Top 17%
3.2%
6
The Journal of Neuroscience
928 papers in training set
Top 5%
2.2%
7
Science Advances
1098 papers in training set
Top 12%
2.2%
8
Developmental Cell
168 papers in training set
Top 7%
2.0%
9
Nature
575 papers in training set
Top 10%
2.0%
10
PLOS Biology
408 papers in training set
Top 9%
1.8%
11
Nature Aging
51 papers in training set
Top 0.9%
1.8%
12
Brain
154 papers in training set
Top 3%
1.7%
13
Human Brain Mapping
295 papers in training set
Top 3%
1.7%
14
Science
429 papers in training set
Top 15%
1.5%
15
Nature Human Behaviour
85 papers in training set
Top 2%
1.5%
16
Communications Biology
886 papers in training set
Top 12%
1.4%
17
Neuron
282 papers in training set
Top 6%
1.4%
18
Scientific Reports
3102 papers in training set
Top 63%
1.4%
19
NeuroImage
813 papers in training set
Top 4%
1.4%
20
Alzheimer's & Dementia
143 papers in training set
Top 2%
1.0%
21
PLOS Genetics
756 papers in training set
Top 12%
1.0%
22
eneuro
389 papers in training set
Top 8%
0.9%
23
Communications Psychology
20 papers in training set
Top 0.2%
0.9%
24
Nature Medicine
117 papers in training set
Top 4%
0.9%
25
Advanced Science
249 papers in training set
Top 18%
0.8%
26
Cerebral Cortex
357 papers in training set
Top 2%
0.8%
27
PLOS Computational Biology
1633 papers in training set
Top 27%
0.7%
28
npj Aging
15 papers in training set
Top 1%
0.7%
29
The EMBO Journal
267 papers in training set
Top 7%
0.5%
30
Imaging Neuroscience
242 papers in training set
Top 4%
0.5%