User profiles for Gabriel A. Devenyi

Gabriel A Devenyi

Research Computing Associate, McGill University
Verified email at mcgill.ca
Cited by 3646

Advanced processing and simulation of MRS data using the FID appliance (FID‐A)—an open source, MATLAB‐based toolkit

R Simpson, GA Devenyi, P Jezzard… - Magnetic resonance …, 2017 - Wiley Online Library
Purpose To introduce a new toolkit for simulation and processing of magnetic resonance
spectroscopy (MRS) data, and to demonstrate some of its novel features. Methods The FID …

[HTML][HTML] BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods

…, AL Cohen, RC Craddock, GA Devenyi… - PLoS computational …, 2017 - journals.plos.org
The rate of progress in human neurosciences is limited by the inability to easily apply a wide
range of analysis methods to the plethora of different datasets acquired in labs around the …

Large-scale analyses of the relationship between sex, age and intelligence quotient heterogeneity and cortical morphometry in autism spectrum disorder

SA Bedford, MTM Park, GA Devenyi, S Tullo… - Molecular …, 2020 - nature.com
Significant heterogeneity across aetiologies, neurobiology and clinical phenotypes have
been observed in individuals with autism spectrum disorder (ASD). Neuroimaging-based …

Focused ultrasound thalamotomy location determines clinical benefits in patients with essential tremor

…, ML Schwartz, N Lipsman, K Hynynen, GA Devenyi… - Brain, 2018 - academic.oup.com
Magnetic resonance guided focused ultrasound (MRgFUS) thalamotomy is a novel and
minimally invasive ablative treatment for essential tremor. The size and location of therapeutic …

[HTML][HTML] The ANTsX ecosystem for quantitative biological and medical imaging

…, AJ Holbrook, HJ Johnson, J Muschelli, GA Devenyi… - Scientific reports, 2021 - nature.com
The Advanced Normalizations Tools ecosystem, known as ANTsX, consists of multiple open-source
software libraries which house top-performing algorithms used worldwide by …

[HTML][HTML] Spatial patterning of tissue volume loss in schizophrenia reflects brain network architecture

…, C Makowski, A Talpalaru, M Kirschner, GA Devenyi… - Biological …, 2020 - Elsevier
Background There is growing recognition that connectome architecture shapes cortical and
subcortical gray matter atrophy across a spectrum of neurological and psychiatric diseases. …

Differential effects of early or late exposure to prenatal maternal immune activation on mouse embryonic neurodevelopment

…, JP Lerch, BJ Nieman, GA Devenyi… - Proceedings of the …, 2022 - National Acad Sciences
Exposure to maternal immune activation (MIA) in utero is a risk factor for neurodevelopmental
and psychiatric disorders. MIA-induced deficits in adolescent and adult offspring have …

Evaluating accuracy of striatal, pallidal, and thalamic segmentation methods: Comparing automated approaches to manual delineation

…, S Béland, P Kostopoulos, N Bhagwat, GA Devenyi… - Neuroimage, 2018 - Elsevier
Accurate automated quantification of subcortical structures is a greatly pursued endeavour
in neuroimaging. In an effort to establish the validity and reliability of these methods in …

[HTML][HTML] Population-wide cerebellar growth models of children and adolescents

…, O Donchin, P Berthet, GA Devenyi… - Nature …, 2024 - nature.com
In the past, the cerebellum has been best known for its crucial role in motor function. However,
increasingly more findings highlight the importance of cerebellar contributions in cognitive …

Can we accurately classify schizophrenia patients from healthy controls using magnetic resonance imaging and machine learning? A multi-method and multi-dataset …

JL Winterburn, AN Voineskos, GA Devenyi… - Schizophrenia …, 2019 - Elsevier
Abstract Machine learning is a powerful tool that has previously been used to classify
schizophrenia (SZ) patients from healthy controls (HC) using magnetic resonance images. Each …