Sophie Achard
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French statistical neuroscientist
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Sophie Achardmathematics Degrees
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#11040
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Statistics
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Sophie Achardbiology Degrees
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Neuroscience
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Mathematics Biology
Sophie Achard's Degrees
- Masters Statistics Université Paris Cité
Why Is Sophie Achard Influential?
(Suggest an Edit or Addition)According to Wikipedia, Sophie Achard is a French statistician and neuroscientist whose research concerns the statistics of the pattern of connectivity in the brain. She is a director of research for the French National Centre for Scientific Research , affiliated with the French Institute for Research in Computer Science and Automation laboratory at Grenoble Alpes University.
Sophie Achard's Published Works
Published Works
- A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubs (2006) (2255)
- Efficiency and Cost of Economical Brain Functional Networks (2007) (2126)
- Adaptive reconfiguration of fractal small-world human brain functional networks (2006) (767)
- Age-related changes in modular organization of human brain functional networks (2009) (716)
- Graph analysis of functional brain networks: practical issues in translational neuroscience (2014) (381)
- Hubs of brain functional networks are radically reorganized in comatose patients (2012) (253)
- The Statistical Analysis of Functional MRI Data (2008) (216)
- Machine Learning with Brain Graphs: Predictive Modeling Approaches for Functional Imaging in Systems Neuroscience (2013) (160)
- Fractal connectivity of long-memory networks. (2008) (133)
- Reliability of graph analysis of resting state fMRI using test-retest dataset from the Human Connectome Project (2016) (122)
- Use of Advanced Magnetic Resonance Imaging Techniques in Neuromyelitis Optica Spectrum Disorder. (2015) (62)
- Identifiability of post-nonlinear mixtures (2005) (51)
- Depletion of brain functional connectivity enhancement leads to disability progression in multiple sclerosis: A longitudinal resting-state fMRI study (2016) (47)
- QUADRATIC DEPENDENCE MEASURE FOR NONLINEAR BLIND SOURCES SEPARATION (2003) (40)
- Improvement of spasticity following intermittent theta burst stimulation in multiple sclerosis is associated with modulation of resting-state functional connectivity of the primary motor cortices (2017) (37)
- Discrete variations of the fractional Brownian motion in the presence of outliers and an additive noise (2010) (34)
- Nodal approach reveals differential impact of lateralized focal epilepsies on hub reorganization (2015) (34)
- Multivariate Wavelet Whittle Estimation in Long‐range Dependence (2014) (29)
- BLIND SOURCE SEPARATION IN POST NONLINEAR MIXTURES (2001) (28)
- Directed Differential Connectivity Graph of Interictal Epileptiform Discharges (2011) (28)
- Wavelet analysis of the multivariate fractional Brownian motion (2010) (27)
- Testing fractal connectivity in multivariate long memory processes (2009) (24)
- Criteria based on mutual information minimization for blind source separation in post nonlinear mixtures (2005) (23)
- The “Hub Disruption Index,” a Reliable Index Sensitive to the Brain Networks Reorganization. A Study of the Contralesional Hemisphere in Stroke (2016) (22)
- Bayesian Model for Multiple Change-Points Detection in Multivariate Time Series (2014) (21)
- Large-Scale Functional Brain Network Reorganization During Taoist Meditation (2016) (19)
- Functional connectivity is preserved but reorganized across several anesthetic regimes (2020) (17)
- On multivariate fractional brownian motion and multivariate fractional Gaussian noise (2010) (17)
- Low-dimensional morphospace of topological motifs in human fMRI brain networks (2018) (16)
- Topological disintegration of resting state functional connectomes in coma (2019) (15)
- Topographical Dynamics of Brain Connections for the Design of Asynchronous Brain-Computer Interfaces (2007) (14)
- Alien Hand, Restless Brain: Salience Network and Interhemispheric Connectivity Disruption Parallel Emergence and Extinction of Diagonistic Dyspraxia (2016) (13)
- Bayesian versus constrained structure approaches for source separation in post-nonlinear mixtures (2004) (13)
- Comparison of five directed graph measures for identification of leading interictal epileptic regions (2010) (12)
- Brain networks of rats under anesthesia using resting-state fMRI: comparison with dead rats, random noise and generative models of networks (2020) (12)
- fMRI functional connectivity estimators robust to region size bias (2011) (11)
- Classifying Connectivity Graphs Using Graph and Vertex Attributes (2011) (9)
- U-Net Neural Network for Heartbeat Detection in Ballistocardiography (2020) (9)
- Wavelet-Based and Fourier-Based Multivariate Whittle Estimation: multiwave (2018) (8)
- Asymptotic properties of a dimension-robust quadratic dependence measure (2008) (8)
- Spatial and temporal autocorrelation weave complexity in brain networks (2021) (7)
- Optimal shrinkage for robust covariance matrix estimators in a small sample size setting (2019) (7)
- Directed epileptic network from scalp and intracranial EEG of epileptic patients (2009) (7)
- New results on approximate Hilbert pairs of wavelet filters with common factors (2017) (6)
- Resting-state functional MRI demonstrates brain network reorganization in neuromyelitis optica spectrum disorder (NMOSD) (2019) (6)
- CamBAfx: Workflow Design, Implementation and Application for Neuroimaging (2009) (6)
- Fractal analysis of resting state functional connectivity of the brain (2012) (6)
- StandardRat: A multi-center consensus protocol to enhance functional connectivity specificity in the rat brain (2022) (6)
- Rank-based multiple change-point detection in multivariate time series (2014) (5)
- Frequency-Dependent Functional Connectivity Analysis of fMRI Data in Fourier and Wavelet Domains (2007) (5)
- Dynamic Time Warping for Heartbeat Detection in Ballistocardiography (2019) (5)
- Time localization of transients with wavelet maxima lines (2005) (5)
- Sparse differential connectivity graph of scalp EEG for epileptic patients (2009) (5)
- Topological Modification of Brain Networks Organization in Children With High Intelligence Quotient: A Resting-State fMRI Study (2019) (5)
- Diffusion tensor imaging reveals diffuse white matter injuries in locked-in syndrome patients (2019) (4)
- Analytic wavelets for multivariate time series analysis (2017) (4)
- Functional Brain Dysconnectivity in Parkinson's Disease: A 5‐Year Longitudinal Study (2022) (4)
- Estimation of Multivariate Long-Memory Models Parameters (2015) (4)
- Robust structure learning using multivariate T-distributions (2018) (3)
- Spatiotemporal reorganization of corticostriatal networks encodes motor skill learning. (2022) (3)
- Resting-state functional MRI demonstrates brain network reorganisation in neuromyelitis optica (2013) (3)
- Global Functional Disconnections in Post-anoxic Coma Patient (2011) (3)
- Normalized causal and well-balanced multivariate fractional Brownian motion (2010) (3)
- Dynamic K-Graphs: an Algorithm for Dynamic Graph Learning and Temporal Graph Signal Clustering (2021) (2)
- Statistical Kernel-based Modeling of Connectomes (2012) (2)
- Connectivity analysis of EEG recordings for Epileptic patients (2008) (2)
- Unraveling the functional attributes of the language connectome: crucial subnetworks, flexibility and variability (2022) (2)
- Wavelet-based graph inference using multiple testing (2019) (2)
- Functional brain networks reflect spatial and temporal autocorrelation. (2023) (2)
- Structure Learning via Hadamard Product of Correlation and Partial Correlation Matrices (2019) (2)
- Reorganization of homotopic functional connectivity in two profiles of High Potential Children: a resting-state fMRI and DTI study (2018) (1)
- A consensus protocol for functional connectivity analysis in the rat brain (2023) (1)
- Fractal-based linear model of resting state hemodynamic response in fMRI (2012) (1)
- Wavelet Whittle Estimation in Multivariate Time Series Models: Application to fMRI Data (2016) (1)
- A covariate-constraint method to map brain feature space into lower dimensional manifolds (2020) (1)
- Robust correlation for aggregated data with spatial characteristics (2020) (1)
- Low dimensional morphospace of topological motifs in human fMRI brain networks (2017) (1)
- Mutual information and quadratic dependence for post nonlinear Blind Source Separation (2005) (1)
- Data comparison using Gaussian Graphical Models (2014) (1)
- Asymptotic control of FWER under Gaussian assumption: application to correlation tests (2020) (1)
- Fractal-based linear model of resting state hemodynamic response in fMRI (2012) (1)
- Author Correction: A consensus protocol for functional connectivity analysis in the rat brain. (2023) (0)
- Clustering-Based Inter-Regional Correlation Estimation (2023) (0)
- Local Whittle estimation with (quasi-)analytic wavelets (2022) (0)
- Nodal-statistics-based equivalence relation for graph collections. (2022) (0)
- Robust penalized inference for Gaussian Scale Mixtures (2022) (0)
- Se p 20 06 A quadratic measure of dependence (2008) (0)
- A Mixed Model Approach for Estimating Regional Functional Connectivity from Voxel-level BOLD Signals (2022) (0)
- Graph-based Structural Connectivity is correlated with Children Intelligence Quotient Scores (2019) (0)
- Time Localization of Transients with Wavelet (2004) (0)
- Quantifying the Topology of Consciousness (2019) (0)
- Manifold learning for brain connectivity (2020) (0)
- Corrigendum: Topological Modification of Brain Networks Organization in Children With High Intelligence Quotient: A Resting-State fMRI Study (2020) (0)
- Is heart rate variability a hidden factor in resting-state functional connectivity ? (2013) (0)
- Impact of cerebral blood flow level on the fluctuations of resting-state BOLD fMRI in anesthetized rats (2018) (0)
- A quadratic measure of dependence (2006) (0)
- Smart ballistocardiography front-end (2020) (0)
- Network Embedding For Brain Connectivity (2021) (0)
- Inter-regional correlation estimators for functional magnetic resonance imaging (2020) (0)
- Robust penalized inference for Gaussian Scale Mixtures Robust penalized inference for Gaussian Scale Mixtures (2019) (0)
- Multivariate approach for brain decomposable connectivity networks (2011) (0)
- Whittle estimation with (quasi-)analytic wavelets (2021) (0)
- Visualisation of Large-Scale Brain Networks (2005) (0)
- Differential topological reorganization of functional connectivity in two high IQ children profiles (2019) (0)
- Classification de types de neurones à partir de signaux calciques (2019) (0)
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What Schools Are Affiliated With Sophie Achard?
Sophie Achard is affiliated with the following schools: