Publications associées à From EEG Dependency Multichannel Matching Pursuit to Sparse Topographic Decomposition

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

The relationship between EEG and fMRI connectomes is reproducible across simultaneous EEG-fMRI studies from 1.5T to 7T

François Lazeyras, Rolf Gruetter, João Pedro Forjaco Jorge, Giannina Rita Iannotti, Arwen Blanche Giraud

Both electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) are non-invasive methods that show complementary aspects of human brain activity. Despite measuring different proxies of brain activity, both the measured blood-oxygenation ...

2021

Connectivity Measures Differentiate Cortical and Subcortical Sub-Acute Ischemic Stroke Patients

Silvestro Micera, Michael Lassi

Brain lesions caused by cerebral ischemia lead to network disturbances in both hemispheres, causing a subsequent reorganization of functional connectivity both locally and remotely with respect to the injury. Quantitative electroencephalography (qEEG) meth ...

FRONTIERS MEDIA SA2021

Exploring MEG brain fingerprints: Evaluation, pitfalls, and interpretations

Dimitri Nestor Alice Van De Ville, Alessandra Griffa, Enrico Amico, Sélima Zahar, Ekansh Sareen

Individual characterization of subjects based on their functional connectome (FC), termed “FC fingerprinting”, has become a highly sought-after goal in contemporary neuroscience research. Recent functional magnetic resonance imaging (fMRI) studies have dem ...

2021

Automatic detection of generalized paroxysmal fast activity in interictal EEG using time-frequency analysis

Amir Hossein Omidvarnia

Objective: Markup of generalized interictal epileptiform discharges (IEDs) on EEG is an important step in the diagnosis and characterization of epilepsy. However, manual EEG markup is a time-consuming, subjective, and the specialized task where the human r ...

2021

A multimodal approach to capture post-stroke temporal dynamics of recovery

Dimitri Nestor Alice Van De Ville, Jenifer Cléa Miehlbradt, Nawal Noëlle Kinany, Elvira Pirondini, Silvestro Micera, Martina Coscia, Christian Giang, Camilla Pierella

Objective.Several training programs have been developed in the past to restore motor functions after stroke. Their efficacy strongly relies on the possibility to assess individual levels of impairment and recovery rate. However, commonly used clinical scal ...

2020

Monitoring of Cardiovascular and Neurological Diseases Using Wearable Devices

Dionisije Sopic

In this thesis, I focus on monitoring of patients suffering from cardiovascular and neurological diseases through the use of wearable devices. The main diseases considered in this thesis are atrial fibrillation (AF), myocardial infarction (MI), and epileps ...

EPFL2020

Implantable Autonomous Wireless Closed-loop Bio-electronics for Epilepsy Control

Reza Ranjandish

Implantable electronic medical device (IEMD) is an emerging technology that plays an important role in the treatment of several neurological disorders such as epilepsy, especially in the cases of drug-resistant epilepsy. Recent developments and studies sho ...

EPFL2019

Is functional brain connectivity atypical in autism? A systematic review of EEG and MEG studies

Christian O'Reilly

Background Although it is well recognized that autism is associated with altered patterns of over-and under-connectivity, specifics are still a matter of debate. Little has been done so far to synthesize available literature using whole-brain electroenceph ...

Public Library of Science2017

Neurofeedback Using Real-Time fMRI : Impact on Functional Network Organization

Rotem Roza Kopel

Over the last decade, technological advances in the field of functional magnetic resonance imaging (fMRI) have made it possible to obtain localized measures of brain activity in real-time. This allows for applications such as online quality control of the ...

EPFL2017

Simultaneous EEG-fMRI at ultra-high field for the study of human brain function

João Pedro Forjaco Jorge

Scalp electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) have highly complementary domains, and their combination has been actively sought within neuroscience research. The important gains in fMRI sensitivity achieved with higher ...

EPFL2016

Reconstructing the brain: from image stacks to neuron synthesis

Sean Lewis Hill, Julian Charles Shillcock

Large-scale brain initiatives such as the US BRAIN initiative and the European Human Brain Project aim to marshall a vast amount of data and tools for the purpose of furthering our understanding of brains. Fundamental to this goal is that neuronal morpholo ...

2016

Cell-type- and activity-dependent extracellular correlates of intracellular spiking

Henry Markram, Rodrigo de Campos Perin, Constantinos Anastassiou

Despite decades of extracellular action potential (EAP) recordings monitoring brain activity, the biophysical origin and inherent variability of these signals remains enigmatic. We performed whole-cell patch recordings of excitatory and inhibitory neurons ...

2015

A Novel Compressive Sensing Architecture for High-Density Biological Signal Recording

Alexandre Schmid, Hossein Afshari, Mahsa Shoaran

The massive amount of data recorded by dense electrode arrays which are routinely connected to Nyquist-sampling signal conditioning blocks introduces new design challenges for implantable and wireless biological signal acquisition. Five different architect ...

2014

Psychosocial and Ethical Aspects in Non-Invasive EEG-Based BCI Research — A Survey Among BCI Users and BCI Professionals

Robert Leeb

In this paper, the results of a pilot interview study with 19 subjects participating in an EEG-based non-invasive brain–computer interface (BCI) research study on stroke rehabilitation and assistive technology and of a survey among 17 BCI professionals are ...

Springer2014

EEG-fMRI integration for the study of human brain function

Wietske Van der Zwaag, João Pedro Forjaco Jorge, Patricia Figueiredo

Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) have proved to be extremely valuable tools for the non-invasive study of human brain function. Moreover, due to a notable degree of complementarity between the two modalities, th ...

Elsevier2014

Shared electrophysiology mechanisms of body ownership and motor imagery

Olaf Blanke, Nathaniel Evans

Although we feel, see, and experience our hands as our own (body or hand ownership), recent research has shown that illusory hand ownership can be induced for fake or virtual hands and may useful for neuroprosthetics and brain-computer interfaces. Despite ...

Academic Press Inc Elsevier Science2013

Sparsity-Promoting Spatiotemporal Regularization for Data Mining in Functional Magnetic Resonance Imaging

Fikret Isik Karahanoglu

Magnetic resonance imaging (MRI) has opened unprecedented avenues to observe the human brain non-invasively. In particular, for about two decades, functional MRI (fMRI) has enabled to monitor brain function using the blood-oxygen-level-dependent (BOLD) con ...

EPFL2013

Low-Power Circuits and Systems Design for Data Acquisition and Transmission in a Wireless Cortical Implant

Vahid Majidzadeh Bafar

Minimally invasive monitoring of the electrical activity of specific cortical areas using implantable microsystems offers the promise of diagnosing neurological diseases, as well as detecting and identifying neural activity patterns which are specific to a ...

EPFL2012

Age-related changes in visually evoked electrical brain activity

Michael Herzog, Gijs Plomp

Whereas much is known about the degenerative effects of aging on cortical tissue, less is known about how aging affects visually evoked electrical activity, and at what latencies. We compared visual processing in elderly and young controls using a visual m ...

Wiley-Blackwell2012