Author

Ruben Kuzniecky

Hofstra UniversityORCID 0000-0002-3170-150XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:differential expression· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Approach:experimental assay· 1

Frequent Co-Authors

Karen BlackmoniD· 2 shared Orrin DevinskyiD· 2 shared Thomas TheseniD· 2 shared Alyma Somani· 1 shared André AltmanniD· 1 shared Andrea BernasconiiD· 1 shared Andrea CherubiniiD· 1 shared Andreja AvberšekiD· 1 shared

Activity by Year

2017-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Karen BlackmonORCID

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3 papers

Recent·Most cited

A systems-level analysis highlights microglial activation as a modifying factor in common forms of human epilepsy

André Altmann, Mina Ryten, Martina Di Nunzio, Teresa Ravizza, Daniele Tolomeo, Regina Hertfelder Reynolds, Alyma Somani, Marco Bacigaluppi, Valentina Iori, Edoardo Micotti, Rossella Di Sapia, Milica Cerovic, Eleonora Palma, Gabriele Ruffolo, Juan Antonio Botía, , Annamaria Vezzani

The paper identifies microglial activation as a factor contributing to cortical thinning in epilepsy by integrating neuroimaging and gene expression data.

Neuropathology and Applied Neurobiology · Aug 13, 2021Peer-reviewedNeuroscience

Resting state functional connectivity patterns associated with pharmacological treatment resistance in temporal lobe epilepsy

Christina Pressl, Philip Brandner, Stefan Schaffelhofer, Karen Blackmon, Patricia C. Dugan, Manisha Holmes, Thomas Thesen, Ruben Kuzniecky, Orrin Devinsky, Winrich A. Freiwald

The paper identifies altered thalamo-hippocampal functional connectivity as a potential biomarker for treatment resistance in temporal lobe epilepsy using resting state fMRI.

Epilepsy Research · Nov 17, 2018Peer-reviewedNeuroscience

NAPR: a cloud-based framework for neuroanatomical age prediction

Heath Pardoe, Ruben Kuzniecky

NAPR provides a cloud-based framework for age prediction using neuroimaging data, demonstrating models trained on multiple datasets.

Neuroinformatics · Oct 20, 2017Peer-reviewedNeuroscience