Author

Graham Flick

New York University Abu DhabiORCID 0000-0001-9183-4040Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 5

Signature Assays, Organisms & Methods

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Organism:human· 5 Assay:imaging· 3 Approach:statistical model· 3 Assay:electronic health records· 2 Approach:experimental assay· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Liina Pylkkänen AiD· 4 shared David PoeppeliD· 1 shared Eric S. JacksoniD· 1 shared Jed A. MeltzeriD· 1 shared Jennifer D. RyaniD· 1 shared Joan OrpellaiD· 1 shared María Florencia AssaneoiD· 1 shared Osama AbdullahiD· 1 shared

Activity by Year

2020-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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4 shared papersNeuroscience

Liina Pylkkänen AORCID

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5 papers

Recent·Most cited

Phase-locking saccades to posterior alpha oscillations improves the neural representation of visual objects during memory formation

Graham Flick, Jed A. Meltzer, Jennifer D. Ryan, Rosanna K. Olsen

bioRxiv · Oct 9, 2025 · PreprintNeuroscience

Reading ahead: Localized neural signatures of parafoveal word processing and skipping decisions

Graham Flick, Liina Pylkkänen A

The paper investigates neural signatures of parafoveal word processing and skipping decisions during reading using MEG and eye-tracking.

bioRxiv · Apr 25, 2025 · PreprintNeuroscience

Reactive Inhibitory Control Precedes Overt Stuttering Events

Joan Orpella, Graham Flick, María Florencia Assaneo, Ravi Shroff, Liina Pylkkänen A, David Poeppel, Eric S. Jackson

The paper investigates reactive inhibitory control preceding stuttered speech using MEG, finding increased beta power in R-preSMA associated with stuttering severity and trial outcomes.

Neurobiology of Language · Jan 1, 2024Peer-reviewedNeuroscience

From letters to composed concepts: A magnetoencephalography study of reading

Graham Flick, Osama Abdullah, Liina Pylkkänen A

This study uses magnetoencephalography to investigate how the brain processes semantic combinations in language, identifying specific brain regions involved in thematic and feature-based meaning integration.

Human Brain Mapping · Aug 17, 2021Peer-reviewedNeuroscience

Isolating syntax in natural language: MEG evidence for an early contribution of left posterior temporal cortex

Graham Flick, Liina Pylkkänen A

The paper uses MEG to show that left posterior temporal cortex activity increases when syntactic composition is simpler in natural language, with connectivity to other brain regions involved in syntax and semantics.

Cortex · Feb 14, 2020Peer-reviewedNeuroscience