We present the four key areas of research—preprocessing, the volume conductor, the forward problem, and the inverse problem—that affect the performance of EEG and MEG source imaging. In each key area we identify prominent approaches and methodologies that have open issues warranting further investigation within the community, challenges associated with certain techniques, and algorithms necessitating clarification of their implications. More than providing definitive answers we aim to identify important open issues in the quest of source localization
To validate newly developed methods or implemented software for magnetoencephalography/electroenceph...
This textbook provides a comprehensive and didactic introduction from the basics to the current stat...
International audienceBrain source localization accuracy is known to be dependent on the EEG sensor ...
We present the four key areas of research—preprocessing, the volume conductor, the forward problem, ...
OBJECTIVE: Electroencephalography (EEG) is an important tool for studying the temporal dynamics of t...
Objective: Electroencephalography (EEG) is an important tool for studying the temporal dynamics of t...
Since the discovery of electroencephalography (EEG), when it was hoped that EEG would offer "a windo...
Brain source localization has been consistently implemented over the recent years to elucidate compl...
Brain activity and connectivity are distributed in the three-dimensional space and evolve in time. I...
The objective of brain source imaging consists in reconstruct-ing the cerebral activity everywhere w...
This work sets out to evaluate the potential benefits and pit-falls in using a priori information to...
Brain source localization has attained significant fascination over the last few decades. Source loc...
We have developed two algorithms for source imaging from MEG/EEG data. Contribution to sensor data f...
We propose a novel approach to solving the electro-/magnetoencephalographic (EEG/MEG) inverse proble...
Magnetoencephalography (MEG) and magnetic resonance imaging (MRI) techniques have been steadily adva...
To validate newly developed methods or implemented software for magnetoencephalography/electroenceph...
This textbook provides a comprehensive and didactic introduction from the basics to the current stat...
International audienceBrain source localization accuracy is known to be dependent on the EEG sensor ...
We present the four key areas of research—preprocessing, the volume conductor, the forward problem, ...
OBJECTIVE: Electroencephalography (EEG) is an important tool for studying the temporal dynamics of t...
Objective: Electroencephalography (EEG) is an important tool for studying the temporal dynamics of t...
Since the discovery of electroencephalography (EEG), when it was hoped that EEG would offer "a windo...
Brain source localization has been consistently implemented over the recent years to elucidate compl...
Brain activity and connectivity are distributed in the three-dimensional space and evolve in time. I...
The objective of brain source imaging consists in reconstruct-ing the cerebral activity everywhere w...
This work sets out to evaluate the potential benefits and pit-falls in using a priori information to...
Brain source localization has attained significant fascination over the last few decades. Source loc...
We have developed two algorithms for source imaging from MEG/EEG data. Contribution to sensor data f...
We propose a novel approach to solving the electro-/magnetoencephalographic (EEG/MEG) inverse proble...
Magnetoencephalography (MEG) and magnetic resonance imaging (MRI) techniques have been steadily adva...
To validate newly developed methods or implemented software for magnetoencephalography/electroenceph...
This textbook provides a comprehensive and didactic introduction from the basics to the current stat...
International audienceBrain source localization accuracy is known to be dependent on the EEG sensor ...