September 19, 2022
Using machine learning to evaluate large-scale brain networks in patients with brain tumors: Traditional and non-traditional eloquent areas
A retrospective analysis of 100 brain tumor surgery patients using Quicktome. Quicktome showed the extensive involvement of non-traditional networks around regions of pathology that would not ...
November 28, 2021
Connectivity-based parcellation of normal and anatomically distorted human cerebral cortex
As the basis for the creation of our patient-specific brain maps, this manuscript unveils the Structural Connectivity Atlas (SCA) methodology
April 7, 2021
Hollow-tree Super: a directional and scalable approach for feature importance in boosted tree models
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.
April 1, 2021
Targeting location relates to treatment response in active but not sham rTMS stimulation
A re-opened investigation utilizing o8t atlassing revealed that inaccurate targeting of the dlPFC in veterans reduced treatment response.
November 23, 2020
Application of structural and functional connectome mismatch for classification and individualized therapy for Alzheimers disease
By utilizing the o8t Infinitome processing pipeline, this study revealed connectomic anomalies in the Default Mode Network (DMN) which underpinned the progression of Alzheimer's Disease.
November 4, 2020
Unexpected hubness: a proof‑of‑concept study of the human connectome using pagerank centrality and implications for intracerebral neurosurgery
By utilizing PageRank Centrality, a common algorithm for search engine optimization, we investigated the remapping of neural hubs in individuals suffering from Schizophrenia.
