Electroencephalography and High-Density Electrophysiological Source Localization

نویسنده

  • DIEGO A. PIZZAGALLI
چکیده

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 skepticism by the scientific community. By recording from one electrode placed over the forehead and one over the occipital cortex, Berger discovered the existence of rhythmic activity oscillating at approximately 10 Hz, particularly during relaxed wakefulness and in the absence of sensory stimulation or mental activity. In this landmark discovery, Berger described for the first time what would become known as alpha waves. As a result, Berger was among the first to suggest that the periodic fluctuations of the human EEG may be associated with mental processes, including arousal, memory, and consciousness. Over the years, developments in data collection and analyses transformed EEG into one of the prime techniques for studying the human brain. Table 3.1 summarizes selected landmark discoveries and developments that have contributed shaping the EEG field throughout the century. The past two decades in particular have witnessed unparalleled progress in our ability to image human brain function noninvasively. Different imaging techniques are currently available to investigate brain function based on hemodynamic (functional magnetic resonance imaging, fMRI), metabolic (positron emission tomography, PET), or electromagnetic (electroencephalography, EEG; magnetoencephalography, MEG) measurements. In order to investigate spatiotemporal dynamics of brain activity, methods that directly assess neural activity are required. By measuring electrical activity of neuronal assemblies with millisecond temporal resolution, EEG and MEG, unlike hemodynamic techniques, offer the possibility of studying brain function in real time. Unfortunately, as will be discussed in this chapter, the spatial resolution afforded by EEG/MEG is constrained by several factors. The most important of these factors are the distorting effects of the head volume conductor,1 low signal-to-noise

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Dipole Source Localization of Mouse Electroencephalogram Using the Fieldtrip Toolbox

The mouse model is an important research tool in neurosciences to examine brain function and diseases with genetic perturbation in different brain regions. However, the limited techniques to map activated brain regions under specific experimental manipulations has been a drawback of the mouse model compared to human functional brain mapping. Here, we present a functional brain mapping method fo...

متن کامل

Book review of Electrophysiological Recording Techniques, edited by Robert P Vertes and Robert W Stackman, Jr

The review presents the newly published book “Electrophysiological Recording Techniques” by Humana Press. This is an important collection of articles devoted to an issue that has gained increasing attention in modern neuroscience research electrophysiological recording techniques. The present book is a timely update of methods spanning from single cell recordings to local field potentials, cort...

متن کامل

Detecting Large-Scale Brain Networks Using EEG: Impact of Electrode Density, Head Modeling and Source Localization

Resting state networks (RSNs) in the human brain were recently detected using high-density electroencephalography (hdEEG). This was done by using an advanced analysis workflow to estimate neural signals in the cortex and to assess functional connectivity (FC) between distant cortical regions. FC analyses were conducted either using temporal (tICA) or spatial independent component analysis (sICA...

متن کامل

Evaluation of Spatial Resolution and Noise Sensitivity of sLORETA Method for EEG Source Localization Using Low-Density Headsets

Electroencephalography (EEG) has enjoyed considerable attention over the past century and has been applied for diagnosis of epilepsy, stroke, traumatic brain injury and other disorders where 3D localization of electrical activity in the brain is potentially of great diagnostic value. In this study we evaluate the precision and accuracy of spatial localization of electrical activity in the brain...

متن کامل

Calibration of Low Density EEG Sensor Arrays for Brain Source Localization

This paper investigates the performance of calibration techniques on synthetic Electroencephalography (EEG) data. Brain source localization was performed using an iterative algorithm. A transfer-function-based calibration technique was developed. This technique can be applied in two forms: external calibration and autocalibration. For a low density EEG array system, it was shown that the propos...

متن کامل

Bayesian Source Separation and Localization

The problem of mixed signals occurs in many different contexts; one of the most familiar being acoustics. The forward problem in acoustics consists of finding the sound pressure levels at various detectors resulting from sound signals emanating from the active acoustic sources. The inverse problem consists of using the sound recorded by the detectors to separate the signals and recover the orig...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006