Author

J. D. Rolston

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

Biology Disciplines

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Bioengineering· 2 Physiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Assay:electrophysiology· 1 Organism:human· 1 Organism:rat· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

A. A. Brock· 1 shared A. Payne· 1 shared C. Casadei· 1 shared C. Cornelssen· 1 shared C. R. Butson· 1 shared C. Schevon· 1 shared D. Friedman· 1 shared D. N. Anderson· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperBioengineering

A. A. Brock

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Author profile →

3 papers

Recent·Most cited

Development of an MR-guided focused ultrasound (MRgFUS) lesioning approach for small and deep structures in the rat brain

C. Cornelssen, A. Payne, D. Parker, M. Alexander, R. Merrill, S. Senthilkumar, J. Christensen, K. S. Wilcox, H. Odeen, J. D. Rolston

This paper develops an MR-guided focused ultrasound lesioning method for small and deep brain structures in rats, achieving improved targeting accuracy.

bioRxiv · Oct 11, 2023 · PreprintBioengineering

Dual mechanisms of ictal high frequency oscillations in human rhythmic onset seizures

E. H. Smith, E. M. Merricks, J.-y. Liou, C. Casadei, L. Melloni, T. Thesen, D. Friedman, W. Doyle, R. G. Emerson, R. Goodman, G. M. McKhann, S. Sheth, J. D. Rolston, C. Schevon

This study investigates the spatial and temporal characteristics of ictal high frequency oscillations (HFOs) in human seizures, finding differences between seizure core and penumbra regions.

bioRxiv · Apr 7, 2020Physiology

A retrospective evaluation of automated optimization of deep brain stimulation parameters

J. Vorwerk, A. A. Brock, D. N. Anderson, J. D. Rolston, C. R. Butson

This study evaluates an automated algorithm for optimizing deep brain stimulation parameters, finding it aligns with clinical data and potentially improves target region stimulation efficiency.

bioRxiv · May 8, 2019Bioengineering