Using neurocomputational modeling to track memory decline

The most salient and debilitating aspect of dementia is memory loss. Unfortunately, memory loss is also the most difficult to quantify because it relies on doctor-administered tests that cannot be repeated very often. Without frequent and accurate measurements, it is difficult for clinicians to make reliable diagnoses, for patients and their caretakers to prepare in […]

Using deep learning to diagnose Alzheimer’s disease and predict its progression

Alzheimer’s Disease (AD) is a degenerative condition that affected 5.8 million seniors in 2020 and is the sixth leading cause of death in the United States. Detecting mild cognitive impairment, often a precursor to AD, and predicting its advance to AD dementia are key clinical diagnostic problems. Early diagnosis can motivate early intervention with lifestyle […]

Leveraging artificial intelligence to improve digital mental health interventions

Cognitive therapies help patients by providing ways to modify habitual but unproductive thought patterns, known as maladaptive thinking styles. Cognitive therapies are effective in treating depression, amongst other conditions, and are increasingly delivered remotely as text-based interventions. This trend toward digital delivery has accelerated on account of physical isolation and psychological stressors during the global […]

Quantifying socio-cognitive deficits to optimize schizophrenia treatment

Schizophrenia is a debilitating mental health condition with high societal and personal costs, due largely to chronic difficulties with social and occupational functioning. While classical symptoms of schizophrenia – such as hearing voices – are often responsive to medication, people with schizophrenia also experience difficulties in social cognition, or understanding and interpreting the intentions and […]

Synthesizing position emission tomography (PET) data from MRI using deep learning

Positron emission tomography (PET) is an imaging technique that uses radioactive substances to visualize and assess the brain function. Apart from its heavy use in clinical oncology, PET is widely used in a variety of other conditions such as various neurological, psychiatric, neuropsychological, and cognitive disorders and is the gold standard for assessing neurodegeneration. In […]

Development of an interactive, web-based drinking to cope intervention and tools to assess coping skill utilization

This project will develop and test an interactive web-based intervention with text-message reminders for young adults who drink to cope with negative affect. The intervention will include interactive modules on CBT coping skills, assignments to practice the skills, text-message reminders, and weekly assessments on coping skill utilization and barriers to use. A total of 120 […]