Publications associées à Imagerie cérébrale

Epileptic Seizure Detection With Patient-Specific Feature and Channel Selection for Low-power Applications

An accurate epileptic seizure detector using intracranial electroencephalography (iEEG) recordings, suitable for low-power wearable/implantable applications, is presented. Eleven time-domain features with low hardware complexity are employed in the feature ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

On the Spatial Distribution of Temporal Complexity in Resting State and Task Functional MRI

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti, Enrico Amico, Raphaël Pierre Liégeois, Amir Hossein Omidvarnia

Measuring the temporal complexity of functional MRI (fMRI) time series is one approach to assess how brain activity changes over time. In fact, hemodynamic response of the brain is known to exhibit critical behaviour at the edge between order and disorder. ...

MDPI2022

Neurite Exchange Imaging ((NEXI): A minimal model of diffusion in gray matter with inter-compartment water exchange

Ileana Ozana Jelescu, Alexandre Jean François Marie De Skowronski

Biophysical models of diffusion in white matter have been center-stage over the past two decades and are essentially based on what is now commonly referred to as the "Standard Model" (SM) of non-exchanging anisotropic compartments with Gaussian diffusion. ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022

Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making

Wulfram Gerstner, Johanni Michael Brea, Alireza Modirshanechi, Kerstin Preuschoff, Marco Philipp Lehmann, Vasiliki Liakoni

Learning how to reach a reward over long series of actions is a remarkable capability of humans, and potentially guided by multiple parallel learning modules. Current brain imaging of learning modules is limited by (i) simple experimental paradigms, (ii) e ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022

Reconstruction of the Hippocampus

Henry Markram, Felix Schürmann, Armando Romani, Michele Migliore

The hippocampus is a widely studied brain region thought to play an important role in higher cognitive functions such as learning, memory, and navigation. The amount of data on this region increases every day and delineates a complex and fragmented picture ...

Springer2022

M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities

David Atienza Alonso, Amir Aminifar, Alireza Amirshahi, Anthony Hitchcock Thomas

Recent years have seen growing interest in leveraging deep learning models for monitoring epilepsy patients based on electroencephalographic (EEG) signals. However, these approaches often exhibit poor generalization when applied outside of the setting in w ...

2022

N-terminal mutant huntingtin deposition correlates with CAG repeat length and symptom onset, but not neuronal loss in Huntington's disease

Hilal Lashuel, Lorène Aeschbach, Nathan Alain Denis Riguet

Huntington's disease (HD) is caused by a CAG repeat expansion mutation in the gene encoding the huntingtin (Htt) protein, with mutant Htt protein subsequently forming aggregates within the brain. Mutant Htt is a current target for novel therapeutic strateg ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022

Study of Negative Ion Beamlets Produced in SPIDER by Beam Emission Spectroscopy

Riccardo Agnello

Among the beam diagnostics routinely employed in source for production of ion of deuterium (SPIDER), beam emission spectroscopy (BES) provides valuable information for beam characterization, thus driving source optimization methods. In particular, this tec ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Sense of self impacts spatial navigation and hexadirectional coding in human entorhinal cortex

Olaf Blanke, Nathan Quentin Faivre, Hyeongdong Park, Baptiste Gauthier, Hyukjun Moon

Grid cells in entorhinal cortex (EC) encode an individual’s location in space and rely on environmental cues and self-motion cues derived from the individual’s body. Body-derived signals are also primary signals for the sense of self and based on integrate ...

2022

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Imagerie cérébrale

Large-scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes: an exploratory study

Epileptic Seizure Detection With Patient-Specific Feature and Channel Selection for Low-power Applications

On the Spatial Distribution of Temporal Complexity in Resting State and Task Functional MRI

Neurite Exchange Imaging ((NEXI): A minimal model of diffusion in gray matter with inter-compartment water exchange

Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making

Reconstruction of the Hippocampus

M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities

N-terminal mutant huntingtin deposition correlates with CAG repeat length and symptom onset, but not neuronal loss in Huntington's disease

Study of Negative Ion Beamlets Produced in SPIDER by Beam Emission Spectroscopy

Sense of self impacts spatial navigation and hexadirectional coding in human entorhinal cortex

Graph Chatbot

Chattez avec Graph Search

Large-scale brain network dynamics in very preterm children and relationship with socio-emotional outcomes: an exploratory study

Study of Negative Ion Beamlets Produced in SPIDER by Beam Emission Spectroscopy

Epileptic Seizure Detection With Patient-Specific Feature and Channel Selection for Low-power Applications

Sense of self impacts spatial navigation and hexadirectional coding in human entorhinal cortex

Neurite Exchange Imaging ((NEXI): A minimal model of diffusion in gray matter with inter-compartment water exchange

Reconstruction of the Hippocampus

N-terminal mutant huntingtin deposition correlates with CAG repeat length and symptom onset, but not neuronal loss in Huntington's disease

On the Spatial Distribution of Temporal Complexity in Resting State and Task Functional MRI

M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities

Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making