Chris Foulon

Chris Foulon
CNRS

PhD
CNRS postdoc at GIN-IMN Bordeaux

About

45
Publications
11,783
Reads
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1,138
Citations
Additional affiliations
October 2018 - present
University of Texas at Austin, Dell Medical School
Position
  • PostDoc Position
October 2015 - September 2018
Education
October 2015 - September 2018
Sorbonne University
Field of study
  • Neuroscience
September 2013 - September 2015
Université de Rouen Normandie
Field of study
  • Theoretical Computer Science

Publications

Publications (45)
Preprint
Full-text available
Stroke is a significant cause of mortality and long-term disability worldwide, with variable recovery trajectories posing substantial challenges in anticipating post-event care and rehabilitation planning. The NeuralCup 2023 consortium was established to address these challenges by comparing the predictability of stroke outcome models through a col...
Article
This study investigates the efficacy of deep-learning models in expediting the generation of disconnectomes for individualized prediction of neuropsychological outcomes one year after stroke. Utilizing a 3D U-Net network, we trained a model on a dataset of N=1333 synthetic lesions and corresponding disconnectomes, subsequently applying it to N=1333...
Preprint
Full-text available
Understanding complex phenomena often requires analyzing high-dimensional data to uncover emergent properties that arise from multifactorial interactions. Here, we present EMUSES (Emerging-properties Mapping Using Spatial Embedding Statistics), an innovative approach employing Uniform Manifold Approximation and Projection (UMAP) to create high-dime...
Chapter
Treatments are prescribed to individuals in pursuit of contemporaneously unobserved outcomes, based on evidence derived from populations with historically observed treatments and outcomes. Since neither treatments nor outcomes are typically replicable in the same individual, alternatives remain counterfactual in both settings. Prescriptive fidelity...
Preprint
Full-text available
Deep learning as a truly transformative force is revolutionizing a wide range of fields, making a significant difference in medical imaging, where recent advancements have yielded some truly remarkable outcomes. In a connected brain, maps of white matter damage - otherwise known as disconnectomes - are essential for capturing the effects of focal l...
Preprint
Full-text available
Deep learning as a truly transformative force is revolutionizing a wide range of fields, making a significant difference in medical imaging, where recent advancements have yielded some truly remarkable outcomes. In a connected brain, maps of white matter damage — otherwise known as disconnectomes — are essential for capturing the effects of focal l...
Article
Full-text available
Foundational models such as ChatGPT critically depend on vast data scales the internet uniquely enables. This implies exposure to material varying widely in logical sense, factual fidelity, moral value, and even legal status. Whereas data scaling is a technical challenge, soluble with greater computational resource, complex semantic filtering canno...
Preprint
Full-text available
Causal mapping of the functional organisation of the human brain requires evidence of \textit{necessity} available at adequate scale only from pathological lesions of natural origin. This demands inferential models with sufficient flexibility to capture both the observable distribution of pathological damage and the unobserved distribution of the n...
Article
Full-text available
Around 50% of patients undergoing frontal lobe surgery for focal drug-resistant epilepsy become seizure free post-operatively; however, only about 30% of patients remain seizure free in the long-term. Early seizure recurrence is likely to be caused by partial resection of the epileptogenic lesion, whilst delayed seizure recurrence can occur even if...
Preprint
Full-text available
The gold standard in the treatment of ischaemic stroke is set by evidence from randomized controlled trials. Yet the manifest complexity of the brain's functional, connective, and vascular architectures introduces heterogeneity in treatment susceptibility that violates the underlying statistical premisses, potentially leading to substantial errors...
Article
People with Down syndrome (DS) are more likely to develop Alzheimer’s disease than the general population, but comorbidities and variable intellectual disability complicate diagnosis and disease monitoring. Although neuroimaging may help elucidate the pathogenesis of dementia, studies using magnetic resonance imaging (MRI) in DS subjects with demen...
Article
People with Down syndrome (DS) are more likely to develop Alzheimer’s disease than the general population, but comorbidities and variable intellectual disability complicate diagnosis and disease monitoring. Although neuroimaging may help elucidate the pathogenesis of dementia, studies using magnetic resonance imaging (MRI) in DS subjects with demen...
Article
Full-text available
In recent years, the field of functional neuroimaging has moved away from a pure localisationist approach of isolated functional brain regions to a more integrated view of these regions within functional networks. However, the methods used to investigate functional networks rely on local signals in grey matter and are limited in identifying anatomi...
Preprint
Full-text available
In recent years, the field of functional neuroimaging has moved from a pure localisationist approach of isolated functional brain regions to a more integrated view of those regions within functional networks. The methods used to investigate such networks, however, rely on local signals in grey matter and are limited in identifying anatomical circui...
Preprint
Full-text available
In recent years, the field of functional neuroimaging has moved from a pure localisationist approach of isolated functional brain regions to a more integrated view of those regions within functional networks. The methods used to investigate such networks, however, rely on local signals in grey matter and are limited in identifying anatomical circui...
Preprint
Full-text available
In recent years, the field of functional neuroimaging has moved away from a pure localisationist approach of isolated functional brain regions to a more integrated view of these regions within functional networks. However, the methods used to investigate functional networks rely on local signals in grey matter and are limited in identifying anatomi...
Article
Full-text available
Brain lesions do not just disable but also disconnect brain areas, which once deprived of their input or output, can no longer subserve behaviour and cognition. The role of white matter connections has remained an open question for the past 250 years. Based on 1333 stroke lesions, here we reveal the human Disconnectome and demonstrate its relations...
Preprint
Full-text available
Brain lesions do not just disable but also disconnect brain areas, which once deprived of their input or output, can no longer subserve behaviour and cognition. The role of white matter connections has remained an open question for the past 250 years. Based on 1333 stroke lesions we reveal the human Disconnectome and demonstrate its relationship to...
Article
Full-text available
The brain is constituted of multiple networks of functionally correlated brain areas, out of which the default-mode network (DMN) is the largest. Most existing research into the DMN has taken a corticocentric approach. Despite its resemblance with the unitary model of the limbic system, the contribution of subcortical structures to the DMN may be u...
Article
Full-text available
The syndrome of Anosognosia for Hemiplegia (AHP) can provide unique insights into the neurocognitive processes of motor awareness. Yet, prior studies have only explored predominately discreet lesions. Using advanced structural neuroimaging methods in 174 patients with a right-hemisphere stroke, we were able to identify three neural systems that con...
Preprint
Full-text available
The rare syndrome of Anosognosia for Hemiplegia (AHP) can provide unique insights into the neurocognitive processes of motor awareness. Yet, prior studies have only explored predominately discreet lesions. Using advanced structural neuroimaging methods in 174 patients with a right-hemisphere stroke, we were able to identify three neural networks th...
Preprint
Full-text available
Most existing research into the default-mode network (DMN) has taken a corticocentric approach. Despite the resemblance of the DMN with the unitary model of the limbic system, the anatomy and contribution of subcortical structures to the network may be underappreciated due to methods limitation. Here, we propose a new and more comprehensive neuroan...
Thesis
Full-text available
The new brain imaging techniques, notably the different magnetic resonance imaging (MRI) modalities, allow the study of the human brain in vivo for the first time in neuroscience's history. These technologies now make possible to study the symptoms caused by brain lesions in living patients. However, it requires the development of new analyses adap...
Article
Full-text available
Background Patients with brain lesions provide a unique opportunity to understand the functioning of the human mind. However, even when focal, brain lesions have local and remote effects that impact functionally and structurally connected circuits. Similarly, function emerges from the interaction between brain areas rather than their sole activity....
Preprint
Full-text available
Background Patients with brain lesions provide a unique opportunity to understand the functioning of the human mind. However, even when focal, brain lesions have local and remote effects that impact functionally and structurally connected circuits. Similarly, function emerges from the interaction between brain areas rather than their sole activity....
Article
Full-text available
In Europe, more than 2 million individuals each year will have their brain integrity and function challenged by stroke. Despite the progress achieved through the use of thrombolysis with alteplase in acute stroke patients (Wahlgren et al., 2007), many have persistent deficits, affecting their personality, degrading their quality of life and prevent...
Article
Full-text available
Recent functional imaging findings in humans indicate that creativity relies on spontaneous and controlled processes, possibly supported by the default mode and the fronto-parietal control networks, respectively. Here, we examined the ability to generate and combine remote semantic associations, in relation to creative abilities, in patients with f...
Article
Full-text available
View largeDownload slide See Burgess (doi: 10.1093/brain/aww092 ) for a scientific commentary on this article. Reasoning by analogy is central to generalisation and abstract thinking. Urbanski et al. show that the left rostrolateral prefrontal cortex is a critical node in the analogy network. The use of analogy tasks in clinical practice would im...
Research
Full-text available
Fifty years ago, Norman Geschwind published his historical contribution to clinicalneuroanatomical correlations entitled 'Disconnexion syndromes in animals and man' (Geschwind, 1965a, 1965b, fig. 1). His aim was to apply the network models to disorders of the brain. However, for a long time, we have been unable to map lesions onto discrete circuits...

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