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Bruno Hebling Vieira

Showing results (1-10 of 14) with videos related to

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Journal of Neuroscience Methods|November 6, 2018
A principled multivariate intersubject analysis of generalized partial directed coherence with Dirichlet regression: Application to healthy aging in areas exhibiting cortical thinningBruno Hebling Vieira, Carlos Ernesto Garrido Salmon
Neuroimage. Reports|June 26, 2025
Sublinear association between cortical thickness at the onset of the adult lifespan and age-related annual atrophy parallels spatial patterns of laminar organization in the adult cerebral cortexBruno Hebling Vieira, Carlos Ernesto Garrido Salmon
The European Journal of Neuroscience|April 16, 2025
Maintaining Brain Health: The Impact of Physical Activity and Fitness on the Aging Brain-A UK Biobank StudyHanna Hoogen, Bruno Hebling Vieira, Nicolas Langer
Medrxiv : the Preprint Server for Health Sciences|February 6, 2026
Predicting Continuous Cognitive Decline: The Generalizability of a Multimodal Machine Learning Approach Including Structural MRI and Non-Brain DataRoya Melanie Hüppi, Nicolas Langer, Bruno Hebling Vieira, et al.
Neuroimage|February 24, 2020
Evidence of regional associations between age-related inter-individual differences in resting-state functional connectivity and cortical thinning revealed through a multi-level analysisBruno Hebling Vieira, Carlo Rondinoni, Carlos Ernesto Garrido Salmon
Elife|February 23, 2026
The influence of sample size and covariate distributions on neuroanatomical normative modelingCamille Elleaume, Bruno Hebling Vieira, Dorothea L Floris, et al.
Biorxiv : the Preprint Server for Biology|September 5, 2025
Toward Robust Neuroanatomical Normative Models: Influence of Sample Size and Covariates DistributionsCamille Elleaume, Bruno Hebling Vieira, Dorothea L Floris, et al.
Cerebral Cortex (New York, N.Y. : 1991)|October 24, 2024
Individual cognitive traits can be predicted from task-based dynamic functional connectivity with a deep convolutional-recurrent modelErick Almeida de Souza, Bruno Hebling Vieira, Carlos Ernesto Garrido Salmon
Human Brain Mapping|September 29, 2021
A deep learning based approach identifies regions more relevant than resting-state networks to the prediction of general intelligence from resting-state fMRIBruno Hebling Vieira, Julien Dubois, Vince D Calhoun, et al.
Journal of Psychopathology and Clinical Science|October 31, 2024
Toward understanding autism heterogeneity: Identifying clinical subgroups and neuroanatomical deviationsJente Meijer, Bruno Hebling Vieira, Camille Elleaume, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Journal of Neuroscience Methods|November 6, 2018
A principled multivariate intersubject analysis of generalized partial directed coherence with Dirichlet regression: Application to healthy aging in areas exhibiting cortical thinningBruno Hebling Vieira, Carlos Ernesto Garrido Salmon
Neuroimage. Reports|June 26, 2025
Sublinear association between cortical thickness at the onset of the adult lifespan and age-related annual atrophy parallels spatial patterns of laminar organization in the adult cerebral cortexBruno Hebling Vieira, Carlos Ernesto Garrido Salmon
The European Journal of Neuroscience|April 16, 2025
Maintaining Brain Health: The Impact of Physical Activity and Fitness on the Aging Brain-A UK Biobank StudyHanna Hoogen, Bruno Hebling Vieira, Nicolas Langer
Medrxiv : the Preprint Server for Health Sciences|February 6, 2026
Predicting Continuous Cognitive Decline: The Generalizability of a Multimodal Machine Learning Approach Including Structural MRI and Non-Brain DataRoya Melanie Hüppi, Nicolas Langer, Bruno Hebling Vieira, et al.
Neuroimage|February 24, 2020
Evidence of regional associations between age-related inter-individual differences in resting-state functional connectivity and cortical thinning revealed through a multi-level analysisBruno Hebling Vieira, Carlo Rondinoni, Carlos Ernesto Garrido Salmon
Elife|February 23, 2026
The influence of sample size and covariate distributions on neuroanatomical normative modelingCamille Elleaume, Bruno Hebling Vieira, Dorothea L Floris, et al.
Biorxiv : the Preprint Server for Biology|September 5, 2025
Toward Robust Neuroanatomical Normative Models: Influence of Sample Size and Covariates DistributionsCamille Elleaume, Bruno Hebling Vieira, Dorothea L Floris, et al.
Cerebral Cortex (New York, N.Y. : 1991)|October 24, 2024
Individual cognitive traits can be predicted from task-based dynamic functional connectivity with a deep convolutional-recurrent modelErick Almeida de Souza, Bruno Hebling Vieira, Carlos Ernesto Garrido Salmon
Human Brain Mapping|September 29, 2021
A deep learning based approach identifies regions more relevant than resting-state networks to the prediction of general intelligence from resting-state fMRIBruno Hebling Vieira, Julien Dubois, Vince D Calhoun, et al.
Journal of Psychopathology and Clinical Science|October 31, 2024
Toward understanding autism heterogeneity: Identifying clinical subgroups and neuroanatomical deviationsJente Meijer, Bruno Hebling Vieira, Camille Elleaume, et al.
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