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Heritability and interindividual variability of regional structure-function coupling

Nature communications, 2021-08, Vol.12 (1), p.4894-4894, Article 4894

2021

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A Network Diffusion Model of Disease Progression in Dementia

Neuron (Cambridge, Mass.), 2012-03, Vol.73 (6), p.1204-1215

2012

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Machine learning in resting-state fMRI analysis

Magnetic resonance imaging, 2019-12, Vol.64, p.101-121

2019

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3D Convolutional Neural Networks for Classification of Functional Connectomes

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, p.137-145

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Network Diffusion Model of Progression Predicts Longitudinal Patterns of Atrophy and Metabolism in Alzheimer’s Disease

Cell reports (Cambridge), 2015-01, Vol.10 (3), p.359-369

2015

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Disease correlates of rim lesions on quantitative susceptibility mapping in multiple sclerosis

Scientific reports, 2022-03, Vol.12 (1), p.4411-4411, Article 4411

2022

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Longitudinal increases in structural connectome segregation and functional connectome integration are associated with better recovery after mild TBI

Human brain mapping, 2019-10, Vol.40 (15), p.4441-4456

2019

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Functional connectome reorganization relates to post-stroke motor recovery and structural and functional disconnection

NeuroImage (Orlando, Fla.), 2021-12, Vol.245, p.118642-118642, Article 118642

2021

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Predicting individual task contrasts from resting‐state functional connectivity using a surface‐based convolutional network

NeuroImage (Orlando, Fla.), 2022-03, Vol.248, p.118849-118849, Article 118849

2022

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Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape

Nature communications, 2022-10, Vol.13 (1), p.5812-13, Article 5812

2022

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NeuroGen: Activation optimized image synthesis for discovery neuroscience

NeuroImage (Orlando, Fla.), 2022-02, Vol.247, p.118812-118812, Article 118812

2022

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Dynamic Functional Connectivity Better Predicts Disability Than Structural and Static Functional Connectivity in People With Multiple Sclerosis

Frontiers in neuroscience, 2021-12, Vol.15, p.763966-763966

2021

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The impact of white matter hyperintensities on the structural connectome in late-life depression: Relationship to executive functions

NeuroImage clinical, 2019-01, Vol.23, p.101852-101852, Article 101852

2019

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Personalized visual encoding model construction with small data

Communications biology, 2022-12, Vol.5 (1), p.1382-12, Article 1382

2022

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Editorial: Advances in brain functional and structural networks modeling via graph theory

Frontiers in neuroscience, 2022-11, Vol.16, p.1031280-1031280

2022

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Estimation of Multiple Sclerosis lesion age on magnetic resonance imaging

NeuroImage (Orlando, Fla.), 2021-01, Vol.225, p.117451-117451, Article 117451

2021

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Comparisons of electrophysiological markers of impaired executive attention after traumatic brain injury and in healthy aging

NeuroImage (Orlando, Fla.), 2023-07, Vol.274, p.120126-120126, Article 120126

2023

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Quantifying the Relationship Between Multiple Sclerosis Lesions and Depression

Biological psychiatry (1969), 2024-06, Vol.95 (12), p.1058-1059

2024

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Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness

NeuroImage (Orlando, Fla.), 2023-07, Vol.275, p.120162, Article 120162

2023

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Structural disconnectivity from paramagnetic rim lesions is related to disability in multiple sclerosis

Brain and behavior, 2021-10, Vol.11 (10), p.e2353-n/a

2021

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Estimated connectivity networks outperform observed connectivity networks when classifying people with multiple sclerosis into disability groups

NeuroImage clinical, 2021-01, Vol.32, p.102827-102827, Article 102827

2021

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Altered brain activity and functional connectivity after MDMA-assisted therapy for post-traumatic stress disorder

Frontiers in psychiatry, 2023-01, Vol.13, p.947622-947622

2023

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Human brain responses are modulated when exposed to optimized natural images or synthetically generated images

Communications biology, 2023-10, Vol.6 (1), p.1076-1076, Article 1076

2023

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The Transition From Homogeneous to Heterogeneous Machine Learning in Neuropsychiatric Research

Biological psychiatry global open science, 2025-01, Vol.5 (1), p.100397, Article 100397

2025

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Comparison of two different methods of image analysis for the assessment of microglial activation in patients with multiple sclerosis using (R)-[N-methyl-carbon-11]PK11195

PloS one, 2018-08, Vol.13 (8), p.e0201289-e0201289

2018

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Heritability and interindividual variability of regional structure-function coupling

A Network Diffusion Model of Disease Progression in Dementia

Machine learning in resting-state fMRI analysis

3D Convolutional Neural Networks for Classification of Functional Connectomes

Network Diffusion Model of Progression Predicts Longitudinal Patterns of Atrophy and Metabolism in Alzheimer’s Disease

Disease correlates of rim lesions on quantitative susceptibility mapping in multiple sclerosis

Longitudinal increases in structural connectome segregation and functional connectome integration are associated with better recovery after mild TBI

Functional connectome reorganization relates to post-stroke motor recovery and structural and functional disconnection

Predicting individual task contrasts from resting‐state functional connectivity using a surface‐based convolutional network

Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape

NeuroGen: Activation optimized image synthesis for discovery neuroscience

Dynamic Functional Connectivity Better Predicts Disability Than Structural and Static Functional Connectivity in People With Multiple Sclerosis

The impact of white matter hyperintensities on the structural connectome in late-life depression: Relationship to executive functions

Personalized visual encoding model construction with small data

Editorial: Advances in brain functional and structural networks modeling via graph theory

Estimation of Multiple Sclerosis lesion age on magnetic resonance imaging

Comparisons of electrophysiological markers of impaired executive attention after traumatic brain injury and in healthy aging

Quantifying the Relationship Between Multiple Sclerosis Lesions and Depression

Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness

Structural disconnectivity from paramagnetic rim lesions is related to disability in multiple sclerosis

Estimated connectivity networks outperform observed connectivity networks when classifying people with multiple sclerosis into disability groups

Altered brain activity and functional connectivity after MDMA-assisted therapy for post-traumatic stress disorder

Human brain responses are modulated when exposed to optimized natural images or synthetically generated images

The Transition From Homogeneous to Heterogeneous Machine Learning in Neuropsychiatric Research

Comparison of two different methods of image analysis for the assessment of microglial activation in patients with multiple sclerosis using (R)-[N-methyl-carbon-11]PK11195

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