In this chapter, we present the physical and physiological basics behind EEG and MEG
signal generation and propagation. We first start by presenting the biophysical principles …

The past 15 years have seen tremendous advances in our ability to produce images of
human brain function. Applications of functional brain imaging extend from improving our …

Publisher Summary This chapter discusses the multimodal integration of electrical,
magnetic, and hemodynamic data to locate neural sources responsible for the recorded …

In 1924, Hans Berger, a German psychiatrist, performed the first electroencephalographic
(EEG) recording in humans (Berger, 1929), a discovery that was initially greeted with great …

Brain activity and connectivity are distributed in the three-dimensional space and evolve in
time. It is important to image brain dynamics with high spatial and temporal resolution …

Cerebral activity has many attributes: bioelectrical, metabolic, haemodynamic, hormonal,
endogenous, exogenous, specialised, integrated, pathological, stable, dynamic, to mention …

Our understanding of the dynamics of neuronal activity in the human brain remains limited,
due in part to a lack of adequate methods for reconstructing neuronal activity from …

There has been tremendous advances in our ability to produce images of human brain
function. Applications of functional brain imaging extend from improving our understanding …

Electroencephalography (EEG) and magnetoencephalography (MEG) are among the most
important techniques for non-invasively studying cognition and disease in the human brain …

In magnetoencephalography (MEG) and electroencephalography (EEG), scalp potentials
and extracranial magnetic fields generated by electrical activity in the brain are detected non …