A phenome-wide examination of neural and cognitive function

Area of Science:

• Neuroscience
• Psychiatry
• Cognitive Science

Background:

• Understanding the dimensional structure of cognitive functions is crucial for diagnosing and treating neuropsychiatric disorders.
• The UCLA Consortium for Neuropsychiatric Phenomics aimed to investigate memory and cognitive control.
• Existing datasets may not comprehensively capture these functions across diverse populations.

Purpose of the Study:

• To share a comprehensive neuroimaging dataset focused on memory and cognitive control.
• To facilitate research into the dimensional structure of these cognitive functions.
• To support studies comparing healthy individuals with those affected by schizophrenia, bipolar disorder, and ADHD.

Main Methods:

• Acquisition of task-based functional Magnetic Resonance Imaging (fMRI) data.
• Acquisition of resting-state fMRI, structural MRI, and high angular resolution diffusion MRI data.
• Dataset formatted according to the Brain Imaging Data Structure (BIDS) standard for interoperability.

Main Results:

• A shared neuroimaging dataset is now available.
• The dataset includes data from 130 healthy subjects and 172 subjects with neuropsychiatric disorders.
• Data encompasses a wide range of neuroimaging modalities and cognitive assessments.

Conclusions:

• This dataset provides a valuable resource for studying cognitive functions in neuropsychiatric populations.
• Standardized data formatting (BIDS) enhances data sharing and reuse.
• Further research can leverage this dataset to elucidate the neural underpinnings of memory and cognitive control deficits.