8 citations · 15 across the 6 of their papers we have counts for
6 papers
Subspace Learning with Interval-Censored Likelihoods for Dequantizing Percept PC LFP Snapshots
Shreesh Karjagi, Elif Ceren Fitoz, Maryam Khalid +5
Implanted neurostimulators that sense local field potentials now enable chronic electrophysiology based biomarker tracking in patients at home. The Medtronic Percept PC, the only c…
Mitigating Mismatch Compression in Differential Local Field Potentials
Vineet Tiruvadi, Sam James, Bryan Howell +9
Bidirectional deep brain stimulation (bdDBS) devices capable of recording differential local field potentials (dLFP) enable neural recordings alongside clinical therapy. Efforts to…
Toward Personalized Medicine in Connectomic Deep Brain Stimulation
Barbara Hollunder, Nanditha Rajamani, Shan H. Siddiqi +6
At the group-level, deep brain stimulation leads to significant therapeutic benefit in a multitude of neurological and neuropsychiatric disorders. At the single-patient level, howe…
A Differential Degree Test for Comparing Brain Networks
Ixavier A Higgins, Ying Guo, Suprateek Kundu +2
Recently, graph theory has become a popular method for characterizing brain functional organization. One important goal in graph theoretical analysis of brain networks is to identi…
Quantifying the strength of structural connectivity underlying functional brain networks
Phebe Brenne Kemmer, F. DuBois Bowman, Helen Mayberg +1
In recent years, there has been strong interest in neuroscience studies to investigate brain organization through networks of brain regions that demonstrate strong functional conne…
A symmetry-based method to infer structural brain networks from tractography data
Kamal Shadi, Saideh Bakhshi, David A. Gutman +2
Recent progress in diffusion MRI and tractography algorithms as well as the launch of the Human Connectome Project (HCP) have provided brain research with an abundance of structura…