A5019630674- Neural dynamics and brain function
- Blind Source Separation Techniques
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Image and Signal Denoising Methods
- Neuroscience and Neural Engineering
- Advanced MRI Techniques and Applications
- Speech and Audio Processing
- Photoreceptor and optogenetics research
- Retinal Development and Disorders
- Sparse and Compressive Sensing Techniques
- Advanced Chemical Sensor Technologies
- Neuroscience and Neuropharmacology Research
- Face Recognition and Perception
- NMR spectroscopy and applications
- Acoustic Wave Resonator Technologies
- Time Series Analysis and Forecasting
- Electrical and Bioimpedance Tomography
- Electrochemical Analysis and Applications
- Analytical Chemistry and Sensors
- Phonocardiography and Auscultation Techniques
- Optical Imaging and Spectroscopy Techniques
- Bayesian Methods and Mixture Models
- Financial Risk and Volatility Modeling
- Statistical and Computational Modeling
Université de Lorraine
2015-2025
Centre National de la Recherche Scientifique
2013-2025
Centre de Recherche en Automatique de Nancy
2014-2024
Middle East Technical University
2022
Auburn University
2022
Université de Strasbourg
2008-2009
The relationship between Blood-Oxygen-Level-Dependent (BOLD) responses in functional magnetic resonance imaging (fMRI) and increases or decreases neural firing rate across human brain regions, especially the association cortex, remains largely unknown. Here, we contrast direct measures of neuronal activity two adjacent regions fusiform gyrus (FG) associated with fMRI (lateral FG portion) (medial same category-selective activity. In both individual brains tested multiple recording sessions, a...
The relationship between Blood-Oxygen-Level-Dependent (BOLD) responses in functional magnetic resonance imaging (fMRI) and increases or decreases neural firing rate across human brain regions, especially the association cortex, remains largely unknown. Here, we contrast direct measures of neuronal activity two adjacent regions fusiform gyrus (FG) associated with fMRI (lateral FG portion) (medial same category-selective activity. In both individual brains tested multiple recording sessions, a...
The relationship between Blood-Oxygen-Level-Dependent (BOLD) responses in functional magnetic resonance imaging (fMRI) and increases or decreases neural firing rate across human brain regions, especially the association cortex, remains largely unknown. Here, we contrast direct measures of neuronal activity two adjacent regions fusiform gyrus (FG) associated with fMRI (lateral FG portion) (medial same category-selective activity. In both individual brains tested multiple recording sessions, a...
The stereo electroencephalogram (SEEG) recordings are the sate of art tool used in pre-surgical evaluation drug-unresponsive epileptic patients. Coupled with SEEG, electrical cortical stimulation (CS) offer a complementary to investigate lesioned/healthy brain regions and identify zones precision. However, propagation this inside masks cerebral activity recorded by nearby multi-contact SEEG electrodes. objective paper is propose novel filtering approach for suppressing CS artifact signals...
A wheeze is a continuous, coarse, whistling sound produced in the respiratory airways during breathing, commonly experienced by persons suffering from asthma. In this paper, we present new method for detection of wheezing sounds normal breathing sounds. our study perform an accurate statistical analysis signals. We suggest modeling and wavelet packet domain using generalized Gaussian distributions. Our based on specific multimodal Markovian proposed Bayesian framework. cope with...
Objective.The aim of this paper is to present a novel method for simultaneous spike waveforms extraction and sorting from the raw recorded signal. The objective twofold: on one hand, enhance performance by extracting each and, other improve analysis multi-scale relationships between spikes local field potentials (LFP) offering an accurate separation these two components constitutive micro recordings.Approach.The method, based Bayesian approach, fully automated provides mean shape cluster,...
In this paper we propose a statistical modeling approach for phase detection of normal breathing sounds. Previous studies have been considering only the inspiration mid-points and onset. Here focus on both expiration phases. Based an accurate study signals, suggest nomenclature respiratory cycle in perspective by adding transitional between Thus, put forward new processing chain using improved Markov model bayesian framework order to segment signal detect We adapt recent triplet exploiting...
Cortical source imaging aims at identifying activated cortical areas on the surface of cortex from raw electroencephalogram (EEG) data. This problem is ill posed, number channels being very low compared to possible positions.In some realistic physiological situations, active are sparse in space and short time durations, amount spatio-temporal data carry inversion then limited. In this study, we propose an original driven space-time-frequency (STF) dictionary which takes into account...
This paper aims at exploring the feasibility of a brain source localization method from intracerebral stereo-electroencephalography (SEEG) measurements. The SEEG setup consists in multi-contact electrodes inserted volume, each containing about 10 collinear measuring contacts. In clinical context, these signals are usually observed using bipolar montage (potential differences between neighbouring contacts electrode). propagation distant activity is thus suppressed, resulting observation local...
While scalp EEG/MEG source imaging have been extensively studied in the last two decades, case of localization from invasive measurements has resulted few works to date. Yet there is a lot gain stereo-electroencephalographic (SEEG) recordings, providing high signal noise ratio explored brain structures. The SEEG setup consists multi-contact electrodes inserted volume, each containing dozen collinear measuring contacts. This particular raises question conditioning inverse problem. In recent...
Stereo-electroencephalography (SEEG) is used in clinical routine as a golden standard for precisely delineating the epileptic before surgical resection. In recent years it has been demonstrated that SEEG setup also eligible Electrical Source Imaging (ESI), usually achieved from noninvasive measurements such EEG/MEG. We found out principal burden reliable localization comes particular implantations of electrode shafts cluster, yielding partial vision cerebral activity around implanted zones....
Blind Source Separation (BSS) approaches for multi-channel EEG processing are popular, and in particular Independant Component Analysis (ICA) algorithms have proven their ability artifacts removal source extraction this very specific class of signals. However, the blind aspect these techniques implies well-known drawbacks. As methods based on estimated statistics from data rely an hypothesis signal stationarity, length window is crucial has to be chosen carefully: large enough get reliable...
The partial epileptic seizures are often considered to be caused by a wrong balance between inhibitory and excitatory interneuron connections within focal brain area. These abnormal balances likely result in loss of functional connectivities remote structures, while the incriminated zone enhanced. identification networks underlying these hypersynchronies expected contribute better understanding mechanisms responsible for development seizures. In this objective, threshold strategies commonly...
The relationship between Blood-Oxygen-Level-Dependent (BOLD) responses in functional magnetic resonance imaging (fMRI) and increases or decreases neural firing rate across human brain regions, especially the association cortex, remains largely unknown. Here, we contrast direct measures of neuronal activity two adjacent regions fusiform gyrus (FG) associated with fMRI (lateral FG portion) (medial same category-selective activity. In both individual brains tested multiple recording sessions, a...
The relationship between Blood-Oxygen-Level-Dependent (BOLD) responses in functional magnetic resonance imaging (fMRI) and increases or decreases neural firing rate across human brain regions, especially the association cortex, remains largely unknown. Here, we contrast direct measures of neuronal activity two adjacent regions fusiform gyrus (FG) associated with fMRI (lateral FG portion) (medial same category-selective activity. In both individual brains tested multiple recording sessions, a...