Publications by authors named "Lia Chen"
Article Synopsis
- The goal of computational psychiatry is to create models that connect differences in brain function to cognitive impairments and symptoms, which are often resistant to treatment.*
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- Research shows that to predict cognitive functioning accurately, large participant samples are needed, highlighting limitations in smaller patient studies.*
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- Using a transfer learning approach on neuroimaging data from the UK Biobank, the study found that predictions of cognitive functioning improved significantly, even with smaller sample sizes, validating the effectiveness of training models on larger datasets.*
Article Synopsis
- The study aims to connect brain functioning profiles with symptoms and behaviors in psychiatric patients by introducing a new dataset.
- This dataset includes brain imaging and behavioral data from 241 individuals, with a mix of 148 people diagnosed with psychiatric illnesses and a healthy group of 93.
- It provides a comprehensive resource including high-resolution scans, fMRI data, and over 50 psychological assessments to facilitate research in neuroscience.
