Brain Aging Platform

Aging reorganizes activity across the whole brain.

Whole-brain c-Fos mapping in young and aged mice reveals a systematic redistribution of resting brain activity — and powers Theracast’s Brain Aging Platform: quantifying aging, and the effect of interventions on it, region by region.

657 BRAIN REGIONS YOUNG (10 WK, N=12) VS AGED (>18 MO, N=14) IN SILICO SCREEN UNDERWAY: DRUGS TO SLOW BRAIN AGING
The aging significance map: coronal atlas sweep and rotating 3D views — blues decrease, reds increase with age (q < 0.05).
657
anatomical brain regions analyzed (Allen atlas)
252
regions change significantly with age
137 ↓
decreases — dominated by the forebrain
115 ↑
increases — sensory and hindbrain systems
Finding 01

A forebrain-to-hindbrain rebalancing.

Aging does not change c-Fos+ cell distribution uniformly — it redistributes it along a clear forebrain-to-hindbrain axis. Two complementary statistical models agree: of 657 anatomical regions, 252 differ significantly between young and old animals.

Decreases — 137 regions

Dominate the forebrain: medial prefrontal and cingulate cortex, striatum and pallidum, accumbens, septum, olfactory cortex, and the dopaminergic and noradrenergic nuclei.

Increases — 115 regions

Dominate the sensory and subcortical brain: relay thalamus, superior colliculus, reticular midbrain, and cerebellar cortex.

Volcano plot of aging c-Fos changes across 657 brain regions
Broad decreases and increases in c-Fos+ cell distribution in aging. Volcano plot of all 657 brain regions under the hierarchical model, showing z-score versus −log₁₀(q). Blue: significant decreases in old mice; red: significant increases; gray: no significant change.
Finding 02

Aging rewires brain-network coupling.

How brain regions co-vary across animals is itself reorganized (p < 0.001). Overall coupling strength is unchanged — but coupling is preserved within brain systems while collapsing between them: old brains are more de-integrated across systems. The forebrain specifically decouples from the cerebellum and medulla, reversing from positive to negative coupling.

Inter-regional coupling matrices, young vs old
Brain-network coupling is reorganized in old age. Young vs. aged correlation matrices by brain division: the forebrain decouples from the cerebellum and medulla with age (FDR q < 0.05).

A top-down to bottom-up rebalancing.

Anatomically, forebrain executive and limbic control systems — medial prefrontal/cingulate cortex, the cortico-striatal-pallidal loops, and the dopaminergic and noradrenergic nuclei that drive them — lose c-Fos-based activity, while sensory, orienting, and cerebellar systems gain it. At the network level, coupling stays preserved locally but weakens between systems.

252 / 657
regions significantly changed in aged mice
p < 0.001
reorganization of inter-regional coupling
2 models
co-primary statistics — absolute and compositional — agree
Translation

The mouse findings parallel human brain aging.

Frontal aging & default-mode decline

The prefrontal/cingulate decrease agrees with the frontal-aging hypothesis and default-mode-network decline — the rodent counterparts of those human networks.

Striatal dopamine loss

The substantia nigra/VTA and striatum decrease matches the well-documented loss of striatal dopamine with age.

Hippocampal shift

Dentate/entorhinal-input decrease with CA1/subicular-output increase mirrors the human shift toward CA hyperactivity and dentate hypofunction.

Neural dedifferentiation

The amplification of sensory systems parallels dedifferentiation seen in human aging.

System segregation

The coupling reorganization connects to human work on age-related changes in the segregation of large-scale brain systems.

Why it matters

A mouse assay that recapitulates human aging signatures can screen interventions — and read out their brain-wide effects in one experiment.

Study design: whole-brain c-Fos mapping in young (10 weeks, n=12) and aged (>18 months, n=14) mice; 657 terminal regions of the Allen Brain Atlas; two co-primary negative-binomial models (absolute hierarchical and compositional share-of-total) with empirical-Bayes dispersion shrinkage. Detailed methods and full results available on request.
For aging & neurodegeneration research

Quantify brain aging — and what your intervention does to it.

The same platform that profiles psychiatric drugs measures aging-related change across every brain region in a single assay, in absolute counts and brain-wide shares.

Contact Pavel Osten