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.
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.
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 ...
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.
