January 25, 2025
Enhancing brain tumor surgery precision with multimodal connectome imaging: Structural and functional connectivity in language-dominant areas
Multimodal connectome imaging may enhance brain tumor surgery by providing structural and functional connectivity insights, aiding in precise resection while preserving language function. This case ...
March 8, 2024
Eloquent noneloquence: redefinition of cortical eloquence based on outcomes of superficial cerebral cavernous malformation resection
Quicktome's connectomic analysis on brain malformation surgery exposed 7 unforeseen eloquent regions, highlighting the need for refined surgical strategies and a broader definition of cortical ...
March 22, 2023
An agile, data driven approach for target selection in rTMS therapy for anxiety symptoms: Proof of concept and preliminary data for two novel targets
Analysed anomaly patterns in anxiety patients, revealing that the default mode network (DMN) is likely the primary network disturbed in anxiety-related disorders.
March 13, 2023
Topology of the lateral visual system: The fundus of the superior temporal sulcus and parietal area H connect non-visual cerebrum to the lateral occipital lobe
We mapped the visual network and found interesting insights on its role in non-visual connections.
February 26, 2023
Symptom-Circuit Mappings of the Schizophrenia Connectome
Conducted in collaboration with Shanghai Mental Health Centre, we modelled the anatomical circuits underlying schizophrenia symptoms.
February 15, 2023
Connectomics underlying motor functional outcomes in the acute period following stroke
Demonstrates how connectomics can be a valuable asset in stroke management when used in predictive modelling of neuro-rehabilitation outcomes.
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.
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
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.
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
October 28, 2021
Changes in the Brain Connectome Following Repetitive Transcranial Magnetic Stimulation for Stroke Rehabilitation
In this case report, we use Infinitome to find optimal targets for rTMS in a patient who had suffered an Ischemic Stroke.
April 6, 2021
Akinetic mutism reversed by inferior parietal lobule repetitive theta burst stimulation
A case study highlighting the benefits of transcranial magnetic stimulation for restoring network functional connectivity in the DMN.
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.
December 11, 2020
Navigated transcranial magnetic stimulation following awake craniotomy for resection of glioma: Description of two cases
This dual case study reports on the use of theta burst stimulation (cTBS) for postoperative strategy following brain tumor resection.
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.
