Author

Reza Shoorangiz

New Zealand Brain Research InstituteORCID 0000-0002-3653-9644Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:differential expression· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Abbie HarrisiD· 1 shared Alina TeterevaiD· 1 shared Campbell J. Le HeroniD· 1 shared Daniel J. MyalliD· 1 shared Grace Hall-McMaster· 1 shared Ian J. KirkiD· 1 shared John C. Dalrymple‐AlfordiD· 1 shared Narun PatiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperNeuroscience

Abbie HarrisORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Source-space EEG functional connectivity and prediction of cognition in Parkinsons disease: No added benefit of individualized head models over standard templates

Alina Tetereva, Grace Hall-McMaster, Nicola M. Slater, Abbie Harris, Reza Shoorangiz, Campbell J. Le Heron, Ross J. Keenan, Daniel J. Myall, Toni L. Pitcher, Ian J. Kirk, Wassilios G. Meissner, Tim Anderson, Tracy R. Melzer, Narun Pat, John C. Dalrymple‐Alford

The paper evaluates if individualized head models improve source-space EEG functional connectivity predictions of cognition in Parkinson's disease, finding standard templates are sufficient.

bioRxiv · Jun 11, 2026 · PreprintNeuroscience