Author

Kay Chioma Igwe

Columbia UniversityORCID 0000-0002-9909-9930Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Neuroscience· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Assay:multiome· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1

Frequent Co-Authors

Adam M. BrickmaniD· 2 shared Aaron T. GudmundsoniD· 1 shared Adu Matory· 1 shared Alexandra S. ReynoldsiD· 1 shared Andrey EliseyeviD· 1 shared Angela G. VelazqueziD· 1 shared Antonia KaiseriD· 1 shared Atul Narkhede· 1 shared

Activity by Year

2019-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 23 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

2 shared papersNeuroscience

Adam M. BrickmanORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Benchmarking the Impact of Anatomical Segmentation on In Vivo Magnetic Resonance Spectroscopy

Jessica Archibald, Kay Chioma Igwe, Antonia Kaiser, Karl Landheer, Jaimie J. Lee, John L. K. Kramer, Aaron T. Gudmundson, Helge J. Zöllner, Georg Oeltzschner, Candace C. Fleischer, Niklaus Zoelch, Jamie Near, Mark E. Mikkelsen

This study benchmarks how different anatomical segmentation tools affect MRS-derived metabolite concentration estimates in brain imaging.

Magnetic Resonance in Medicine · Apr 10, 2026Peer-reviewedNeuroscience

Deep structural brain lesions associated with consciousness impairment early after haemorrhagic stroke

Benjamin Rohaut, Kevin William Doyle, Alexandra S. Reynolds, Kay Chioma Igwe, Caroline Couch, Adu Matory, Batool M. Rizvi, David Jinou Roh, Angela G. Velazquez, Murad Megjhani, Soojin Park, Sachin Agarwal, Christine Mauro, Gen Li, Andrey Eliseyev, , Jan Claassen

The paper uses MRI and machine learning to predict consciousness recovery and functional outcomes after haemorrhagic stroke by analyzing deep brain lesions.

Scientific Reports · Mar 12, 2019Peer-reviewedNeuroscience

White matter regions with low microstructure in young adults are associated with white matter hyperintensities in late life

Patrick J. Lao, Robert S. Vorburger, Atul Narkhede, Yunglin Gazes, Kay Chioma Igwe, Vanessa A. Guzman, Briana Shiri Last, Christian Georg Habeck, Yaakov Stern, Adam M. Brickman

The paper investigates how low white matter microstructure in young adults correlates with white matter hyperintensities in older adults, finding that normatively low fractional anisotropy regions are more prone to damage.

bioRxiv · Jan 23, 2019 · PreprintNeuroscience