January 16, 2023
Review: Graph Theory Measures and Their Application to Neurosurgical Eloquence
Through graphically representing the brain, mathematical graph theory approaches may be able to provide additional information on important inter-individual network properties and functionally ...
January 1, 2023
Connectivity model of the anatomic substrates and network abnormalities in major depressive disorder: A coordinate meta-analysis of resting-state functional connectivity
Meta-analysis of functional connectivity in MDD suggests abnormal interactions between brain networks, particularly increased default mode-central executive pairs and decreased default mode-other ...
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 ...
August 10, 2022
Connectomic disturbances underlying insomnia disorder and predictors of treatment response
A high powered prospective study comparing healthy individuals and insomnia patients revealed Connectomic changes in the DMN and associated networks underlying the severity of the disorder.
August 5, 2022
Minimally invasive keyhole techniques for resection of giant intracranial tumors
This retrospective investigation of 95 patients operated on between 2012-2017 advocates for the safety of keyhole approaches for removal of giant intracranial tumors.
June 14, 2022
A connectivity model of the anatomic substrates underlying Gerstmann syndrome
Gerstmann syndrome is a neurological phenomena associated with a variety of motor and cognitive deficits. From a large clinical dataset, we identify brain networks compromised in this syndrome.
May 14, 2022
Prehabilitation and rehabilitation using data-driven, parcel-guided transcranial magnetic stimulation treatment for brain tumor surgery: proof of concept case report
A case review demonstrating the utility of o8t software alongside neurorehabilitation to assess functional recovery after glioma removal.
May 3, 2022
12 Plagues of AI in Healthcare: A Practical Guide to Current Issues With Using Machine Learning in a Medical Context
A review of the current applications of Machine Learning and AI in health science data, and how users can avoid common mistakes when handling data.
May 3, 2022
Machine Learning Decomposition of the Anatomy of Neuropsychological Deficit in Alzheimer’s Disease and Mild Cognitive Impairment
The Hollow Tree Super (HoTS) method was applied to a patient and healthy control group to define parcels and networks corresponding with diagnosis of MCI and Alzheimers.
April 14, 2022
Early Experience Using Omniscient Neurotechnology Fiber Tracking Software for Resection of Intra-Axial Brain Tumors
A report on single-center experience using Quicktome for resection of intra-axial brain tumors
April 6, 2022
Should Neurosurgeons Try to Preserve Non-Traditional Brain Networks? A Systematic Review of the Neuroscientific Evidence
A meta-analytic approach revealing the cognitive and emotional consequences of damaging brain networks in neurosurgery.
March 25, 2022
Transcranial magnetic stimulation for post-operative neurorehabilitation in neuro-oncology: a review of the literature and future directions
A retrospective assessment of the recent progression in clinical utility of Transcranial Magnetic Stimulation (TMS). The end goal of a patient-specific application is discussed.
March 8, 2022
Association of Low-Grade Glioma Diagnosis and Management Approach with Mental Health Disorders: A MarketScan Analysis 2005-2014
A formal investigation of the prevalence of co-morbid mental health disorders following Glioma diagnosis between 2005-2014
February 23, 2022
Interventional neurorehabilitation for promoting functional recovery post‑craniotomy: a proof‑of‑concept
A proof-of-concept study demonstrating the capability of o8t software in generating personalized TMS targets for post-craniotomy neurorehabilitation
February 4, 2022
Eigenvector PageRank difference as a measure to reveal topological characteristics of the brain connectome for neurosurgery
An investigation of two graph theory metrics: Eigenvector and PageRank centrality, and how they together inform unique and neurosurgically meaningful topological characteristics of the brain
