Completed Brain & Nervous System Psychology & Behaviour

Memory and motivation in human health and disease

In plain English

AI plain-English summary

Apathy and short-term memory loss are not separate symptoms but measurable brain network failures that could be treated with the same drugs, regardless of which disease caused them. Current treatments for brain diseases target specific diagnoses—Alzheimer’s, Parkinson’s, stroke—but the same cognitive or behavioural syndrome often appears across these conditions. This project tests a different approach: instead of treating the disease label, treat the syndrome. The researchers will first break down apathy and memory deficits into their precise behavioural components, then use brain scans to identify the neural networks that produce each component. They will look for these network signatures in patients with four different brain diseases, and also in people at high risk of developing neurodegeneration but who show no symptoms yet. If this succeeds, it could reshape how neurologists prescribe drugs. A patient with apathy after a stroke might receive the same cholinergic medication as a patient with apathy from Parkinson’s, because both share the same disrupted network. It could also allow early detection of network dysfunction years before a diagnosis, opening a window for preventive treatment. This is fundamental science about how brain systems generate behaviour, but it has a direct clinical target: replacing trial-and-error prescribing with network-based precision medicine.

View original technical description
Many brain diseases are associated with disabling cognitive and behavioural syndromes, which are currently poorly understood and have few effective treatments. Here, I propose that we need a systems level account to develop new therapies which target syndromes at the systems or network level, across diseases – regardless of underlying pathology. To test this transdiagnostic approach, I focus on two model syndromes: one cognitive (short-term memory deficits) and the other behavioural (apathy or lack of motivation). My aim is first to deconstruct the cognitive and behavioural components underlying these syndromes using carefully designed, sensitive behavioural measures. Then to relate behavioural performance to brain networks using a multimodal neuroimaging approach, including structural and functional connectivity measures. To identify whether there are robust brain imaging signatures of component deficits that are common to different diseases, we shall examine patients with Alzheimer’s disease, Parkinson’s disease, stroke and small vessel cerebrovascular disease. To determine whether we can detect these signatures at the earliest stages of disease (in their preclinical phase) we shall apply these methods also to groups at high risk of developing neurodegenerative disorders. Finally, we shall examine whether it is possible to modulate component deficits using cholinergic and dopaminergic drugs.

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Researchers

Masud Husain (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

Memory and motivation in health and disease
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Causes of cognitive and behavioural change in neurodegeneration and dementia
Mechanisms of motivation and their disturbance in neurological disease
Computational modelling of synergistic information in artificial and biological neural networks

Original classification

Principal Research Fellowship Renewal

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