Modern techniques utilizing machine-learning and cloud-computing enable improved neuroscientific investigations. Our data science team at Omniscient Neurotechnology is keenly interested In discovering new methods of analysis and testing previous methods in neuroscientific settings
August 13, 2021
Using Quicktome, our team re-examined cases of intracerebral surgery and demonstrated a machine-learning approach to investigating the organization of compromised brain networks.
April 7, 2021
This manuscript unveils a novel method for investigating which brain regions are most responsible for greater scores on psychometric tests such as the PANSS for Schizophrenia - Hollow Tree Super.
March 5, 2021
This study provides a retrospective investigation of the utility of Diffusion Tensor Imaging (DTI) for neurosurgical planning of medial frontal gliomas.
November 4, 2020
By utilizing PageRank Centrality, a common algorithm for search engine optimization, we investigated the remapping of neural hubs in individuals suffering from Schizophrenia.
January 1, 2020
In this study we explore whether centrality metrics can be utilized to inform the location of surgically eloquent regions. We found PageRank centrality reliably predicted surgically eloquent.
October 9, 2019
This study explores the use common graph theory metrics for defining functionally important areas of the cortex. Those we identified heavily overlapped with those known to be surgically eloquent.
December 16, 2016
By assessing the operative results of 43 craniotomy patients, we report on the use and benefit of DTI implementation in surgical workflows.
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