Author

Maija Steenari

Children's Hospital of Orange County

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Neuroscience· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:differential expression· 2 Assay:electronic health records· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Approach:experimental assay· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Beth A. LopouriD· 2 shared Daniel W. ShreyiD· 2 shared Aliza Riba· 1 shared Amy L. Maser· 1 shared Blanca Romero MilàiD· 1 shared Clare SkoraiD· 1 shared Colin M. McCrimmoniD· 1 shared Cristal Garner· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 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

Beth A. LopourORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

EEG Functional Connectivity as a Marker of Evolution from Infantile Epileptic Spasms Syndrome to Lennox-Gastaut Syndrome

Blanca Romero Milà, Virginia B. Liu, Rachel June Smith, Derek K. Hu, Natalie A. Benneian, Shaun A. Hussain, Maija Steenari, Donald Phillips, David Adams, Clare Skora, Beth A. Lopour, Daniel W. Shrey

The paper uses EEG functional connectivity to track progression from infantile epileptic spasms syndrome to Lennox-Gastaut Syndrome and identifies patterns associated with treatment response and disease markers.

Epilepsia · Nov 24, 2025Peer-reviewedNeuroscience

Automated Detection of Ripple Oscillations in Long-Term Scalp EEG from Patients with Infantile Spasms

Colin M. McCrimmon, Aliza Riba, Cristal Garner, Amy L. Maser, Donald J. Phillips, Maija Steenari, Daniel W. Shrey, Beth A. Lopour

This study develops an automated method to detect high-frequency oscillations (HFOs) in long-term scalp EEG from infantile spasms patients and healthy controls, showing higher HFO rates in patients and a significant reduction after ACTH treatment.

Journal of Neural Engineering · Nov 20, 2020Peer-reviewedNeuroscience