Back

Progressive loss of independence in neuronal representations predicts cognitive decline

Sheets, D. E.; Ruff, D. A.; Srinath, R.; Allen, K. S.; Morrison, J. H.; Cohen, M. R.

2026-07-02 neuroscience
10.64898/2026.06.28.734833 bioRxiv
Show abstract

Intelligent behavior depends on the brain's ability to represent multiple features of the environment simultaneously while keeping those representations independent [1,2]. Patients with Alzheimer's disease often mix up objects, people, and events [3-7], raising the possibility that disease mixes up the way that information is represented in the brain. Here we show that the independence of visual representations progressively breaks down during early stages of disease progression in a rhesus macaque model of Alzheimer's disease and related dementias [8-10]. In visual area V4, representations of different visual features become progressively less independent, such that the representation of one feature is increasingly influenced by the value of another. We term this loss of independence neuronal feature confusion. This neuronal change predicts a specific behavioral consequence: because feature representations become less independent, preferences associated with one visual feature increasingly influence visually guided choices associated with other, independent features. Using an analogous image-selection task, we found the same behavioral signature in people with mild cognitive impairment, distinguishing them from age-matched controls. These results identify a specific and measurable alteration in neuronal population representations that predicts a behavioral change observed across species. More broadly, these findings demonstrate that neuronal population representations can guide the development of sensitive, non-invasive behavioral methods for early detection of functional changes associated with Alzheimer's disease.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 3%
11.8%
2
Scientific Reports
3612 papers in training set
Top 7%
7.8%
3
eLife
5828 papers in training set
Top 13%
7.8%
4
Nature Communications
5641 papers in training set
Top 21%
7.8%
5
The Journal of Neuroscience
1025 papers in training set
Top 2%
7.2%
6
Current Biology
665 papers in training set
Top 3%
5.1%
7
Cell Reports
1498 papers in training set
Top 8%
4.8%
50% of probability mass above
8
eneuro
439 papers in training set
Top 2%
4.3%
9
PLOS Biology
486 papers in training set
Top 1%
3.5%
10
Communications Biology
993 papers in training set
Top 5%
3.2%
11
Progress in Neurobiology
47 papers in training set
Top 0.1%
3.2%
12
Acta Neuropathologica Communications
89 papers in training set
Top 0.8%
2.6%
13
Alzheimer's & Dementia
163 papers in training set
Top 1%
2.1%
14
Neurobiology of Aging
107 papers in training set
Top 0.8%
2.1%
15
Nature Neuroscience
252 papers in training set
Top 3%
2.1%
16
Neuron
337 papers in training set
Top 4%
1.5%
17
Alzheimer's & Dementia
14 papers in training set
Top 0.1%
1.4%
18
iScience
1154 papers in training set
Top 26%
1.1%
19
Cerebral Cortex
396 papers in training set
Top 4%
1.1%
20
Science Advances
1243 papers in training set
Top 25%
1.1%
21
Molecular Psychiatry
282 papers in training set
Top 5%
0.8%
22
Translational Neurodegeneration
10 papers in training set
Top 0.4%
0.8%
23
Journal of Alzheimer's Disease
48 papers in training set
Top 1%
0.8%
24
European Journal of Neuroscience
189 papers in training set
Top 4%
0.8%
25
Alzheimer's Research & Therapy
57 papers in training set
Top 1%
0.6%
26
Frontiers in Neuroscience
256 papers in training set
Top 7%
0.6%
27
Disease Models & Mechanisms
20 papers in training set
Top 0.4%
0.6%
28
GeroScience
109 papers in training set
Top 2%
0.6%
29
Biology Letters
76 papers in training set
Top 1%
0.6%
30
Cells
249 papers in training set
Top 9%
0.6%