LabCompass

Xuan Li

Neuroscience · Indiana University

OpenAlex ORCID
Functional Brain Connectivity StudiesNeural dynamics and brain functionEEG and Brain-Computer InterfacesAdvanced Neuroimaging Techniques and ApplicationsMental Health Research Topics

Publications

40

Citations

511

Est. group size

—

Recurring co-author estimate

Active years

14

Publishing since 2012

Research summary
AI-generated

Xuan Li studies how the human brain is organized and how its activity relates to behavior and disease, primarily using brain imaging (fMRI, EEG) and computational methods. A major focus is on brain connectivity, cognitive impairments after traumatic brain injury, and mental health conditions such as depression and schizophrenia, often analyzed while people watch naturalistic stimuli like movies. Some work also uses machine learning and animal (mouse) models of memory and neural circuits.

Functional brain connectivityTraumatic brain injury and cognitionNaturalistic-viewing fMRIEEG and machine learningPsychiatric neuroimaging

Publication activity has grown over the last decade, rising from a few papers per year to a peak of about 7-8 per year in 2023-2024.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 5.0/year recently
2017: 3 publications172018: 1 publication18192020: 1 publication202021: 4 publications212022: 4 publications222023: 7 publications232024: 8 publications8242025: 6 publications2526
Recent publications
Publishes in
  • NeuroImage×6
  • bioRxiv (Cold Spring Harbor Laboratory)×5
  • Cerebral Cortex×2
  • Human Brain Mapping×2
  • Journal of Neurotrauma×2

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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