Age-related changes in behavioural and neural variability in a decision-making task.
Fenying Zang1, Anup Khanal2,3, Sonja Förster4
1Cognitive Psychology Unit, Institute of Psychology, Leiden University, Leiden, The Netherlands. f.zang@fsw.leidenuniv.nl.
Older mice exhibit increased neural variability and slower response times, impacting cognitive functions like decision-making. This study reveals age-related changes in brain activity across multiple regions.
Area of Science:
- Neuroscience
- Aging Research
- Cognitive Decline
Background:
- Age-related cognitive decline, particularly in learning and decision-making, is often linked to heightened neural response variability.
- Understanding the neural underpinnings of these cognitive changes is crucial for developing interventions.
Purpose of the Study:
- To investigate the effects of aging on behavioral and neural variability using large-scale recordings in mice.
- To identify specific brain regions affected by age-related changes in neural activity and variability.
Main Methods:
- Recorded neural activity from over 18,000 neurons across 16 brain regions in younger and older mice.
- Mice performed a visual decision-making task to assess behavioral variability.
- Analyzed firing rates, neural variability (Fano factor), and variability quenching.
Main Results:
- Older mice displayed increased response time variability and globally elevated firing rates and neural variability.
- A decrease in variability quenching (reduced neural variability upon stimulus presentation) was observed in older animals.
- Specific regions like visual/motor cortex, striatum, and hippocampus showed higher firing rates, while thalamus showed lower rates. Variability quenching was attenuated in cortex, striatum, and thalamus.
Conclusions:
- Aging globally increases neural firing rates and variability while impairing stimulus-induced variability quenching.
- Age-related neural changes exhibit regional specificity, with distinct patterns in different brain areas.
- Large-scale neural recordings provide insights into the neural basis of age-related cognitive decline.
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