Edouard Duchesnay
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Explore the profile of Edouard Duchesnay including associated specialties, affiliations and a list of published articles.
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60
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1293
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Recent Articles
1.
Iftimovici A, Martinez G, Victor J, Bendjemaa N, Jantac C, Danset-Alexandre C, et al.
Schizophr Bull
. 2025 Jan;
PMID: 39756426
Background And Hypothesis: While age at onset in schizophrenia (SCZ) is usually defined by age at onset of psychosis, the illness actually occurs earlier, with a prodrome often starting in...
2.
Gomez C, Uhrig L, Frouin V, Duchesnay E, Jarraya B, Grigis A
Sci Rep
. 2024 Dec;
14(1):31606.
PMID: 39738114
Decoding states of consciousness from brain activity is a central challenge in neuroscience. Dynamic functional connectivity (dFC) allows the study of short-term temporal changes in functional connectivity (FC) between distributed...
3.
Revisiting the standard for modeling functional brain network activity: Application to consciousness
Grigis A, Gomez C, Frouin V, Duchesnay E, Uhrig L, Jarraya B
PLoS One
. 2024 Dec;
19(12):e0314598.
PMID: 39680526
Functional connectivity (FC) of resting-state fMRI time series can be estimated using methods that differ in their temporal sensitivity (static vs. dynamic) and the number of regions included in the...
4.
Iftimovici A, Krebs E, Dalfin W, Legrand A, Scoriels L, Martinez G, et al.
Psychol Med
. 2024 Oct;
:1-12.
PMID: 39402801
Background: Treatment resistance is a major challenge in psychiatric disorders. Early detection of potential future resistance would improve prognosis by reducing the delay to appropriate treatment adjustment and recovery. Here,...
5.
Postic P, Leprince Y, Brosset S, Drutel L, Peyric E, Ben Abdallah I, et al.
Front Neurosci
. 2024 Sep;
18:1405381.
PMID: 39247049
Introduction: Early focal brain injuries lead to long-term disabilities with frequent cognitive impairments, suggesting global dysfunction beyond the lesion. While plasticity of the immature brain promotes better learning, outcome variability...
6.
Kong Y, Roser M, Begue I, Elandaloussi Y, Neu N, Grigis A, et al.
Hum Brain Mapp
. 2024 Jul;
45(10):e26749.
PMID: 38989605
The cerebellum has been involved in social abilities and autism. Given that the cerebellum is connected to the cortex via the cerebello-thalamo-cortical loop, the connectivity between the cerebellum and cortical...
7.
Dufumier B, Gori P, Petiton S, Louiset R, Mangin J, Grigis A, et al.
Neuroimage
. 2024 Jun;
296:120665.
PMID: 38848981
The perspective of personalized medicine for brain disorders requires efficient learning models for anatomical neuroimaging-based prediction of clinical conditions. There is now a consensus on the benefit of deep learning...
8.
Poiret C, Bouyeure A, Patil S, Boniteau C, Duchesnay E, Grigis A, et al.
J Med Imaging (Bellingham)
. 2024 Jan;
11(1):014003.
PMID: 38173654
Purpose: The hippocampus is organized in subfields (HSF) involved in learning and memory processes and widely implicated in pathologies at different ages of life, from neonatal hypoxia to temporal lobe...
9.
Dupont T, Kentish-Barnes N, Pochard F, Duchesnay E, Azoulay E
Intensive Care Med
. 2023 Dec;
50(1):114-124.
PMID: 38112774
Purpose: Post-traumatic stress disorder (PTSD) can affect family members of patients admitted to the intensive care unit (ICU). Easily accessible patient's and relative's information may help develop accurate risk stratification...
10.
Iftimovici A, Bourgin J, Houenou J, Gay O, Grigis A, Victor J, et al.
Psychiatry Clin Neurosci
. 2023 Oct;
PMID: 37904327
Aim: Neuroimaging-based machine-learning predictions of psychosis onset rely on the hypothesis that structural brain anomalies may reflect the underlying pathophysiology. Yet, current predictors remain difficult to interpret in light of...