NeuroImage, Год журнала: 2009, Номер 50(4), С. 1702 - 1710
Опубликована: Дек. 17, 2009
Язык: Английский
NeuroImage, Год журнала: 2009, Номер 50(4), С. 1702 - 1710
Опубликована: Дек. 17, 2009
Язык: Английский
Trends in Neurosciences, Год журнала: 1999, Номер 22(9), С. 391 - 397
Опубликована: Сен. 1, 1999
Язык: Английский
Процитировано
3805NeuroImage, Год журнала: 2012, Номер 63(2), С. 921 - 935
Опубликована: Март 28, 2012
Язык: Английский
Процитировано
1925Nature Medicine, Год журнала: 2003, Номер 9(1), С. 123 - 128
Опубликована: Янв. 1, 2003
Язык: Английский
Процитировано
1873IEEE Signal Processing Magazine, Год журнала: 2001, Номер 18(6), С. 14 - 30
Опубликована: Янв. 1, 2001
There has been tremendous advances in our ability to produce images of human brain function. Applications functional imaging extend from improving understanding the basic mechanisms cognitive processes better characterization pathologies that impair normal Magnetoencephalography (MEG) and electroencephalography (EEG) (MEG/EEG) localize neural electrical activity using noninvasive measurements external electromagnetic signals. Among available techniques, MEG EEG uniquely have temporal resolutions below 100 ms. This precision allows us explore timing at level cell assemblies. MEG/EEG source localization draws on a wide range signal processing techniques including digital filtering, three-dimensional image analysis, array processing, modeling reconstruction, and, blind separation phase synchrony estimation. We describe underlying models currently used estimation various steps required compute these sources. In particular we methods for computing forward fields known distributions parametric imaging-based approaches inverse problem.
Язык: Английский
Процитировано
1716Nature Biotechnology, Год журнала: 2003, Номер 21(7), С. 803 - 806
Опубликована: Июнь 13, 2003
Язык: Английский
Процитировано
1663Applied Optics, Год журнала: 2009, Номер 48(10), С. D280 - D280
Опубликована: Март 26, 2009
Near-infrared spectroscopy (NIRS) is a noninvasive neuroimaging tool for studying evoked hemodynamic changes within the brain. By this technique, in optical absorption of light are recorded over time and used to estimate functionally cerebral oxyhemoglobin deoxyhemoglobin concentrations that result from local vascular oxygen metabolic effects during brain activity. Over past three decades technology has continued grow, today NIRS studies have found many niche applications fields psychology, physiology, pathology. The growing popularity technique part associated with lower cost increased portability equipment when compared other imaging modalities, such as functional magnetic resonance positron emission tomography. With increasing number applications, new techniques processing, analysis, interpretation data continually being developed. We review some time-series analysis currently studies, we describe practical implementation various signal processing removing physiological, instrumental, motion-artifact noise data, discuss unique aspects comparison modalities. These methods described context MATLAB-based graphical user interface program, HomER, which developed distributed facilitate data.
Язык: Английский
Процитировано
1474NeuroImage, Год журнала: 2003, Номер 21(1), С. 99 - 111
Опубликована: Дек. 12, 2003
Язык: Английский
Процитировано
1250Reports on Progress in Physics, Год журнала: 2010, Номер 73(7), С. 076701 - 076701
Опубликована: Июнь 2, 2010
This review describes the diffusion model for light transport in tissues and medical applications of diffuse light. Diffuse optics is particularly useful measurement tissue hemodynamics, wherein quantitative assessment oxy- deoxy-hemoglobin concentrations blood flow are desired. The theoretical basis near-infrared or optical spectroscopy developed, basic elements tomography outlined. We also discuss correlation spectroscopy, a technique whereby temporal functions diffusing transported through used to measure flow. Essential instrumentation described, representative brain breast functional imaging monitoring results illustrate workings these new diagnostics.
Язык: Английский
Процитировано
1064Oxford University Press eBooks, Год журнала: 2007, Номер unknown
Опубликована: Дек. 6, 2007
Abstract The biomedical sciences have recently undergone revolutionary change, due to the ability digitize and store large data sets. In neuroscience, sources include measurements of neural activity measured using electrode arrays, EEG MEG, brain imaging from PET, fMRI, optical methods. Analysis, visualization, management these time series sets is a growing field research that has become increasingly important both for experimentalists theorists interested in function. first part book contains set chapters which provide non-technical conceptual background subject. Salient features adoption an active perspective nervous system, emphasis on function, brief survey different theoretical accounts neuroscience. second longest book, refresher course mathematics statistics leading up analysis techniques. third applications techniques range indicated above, fourth special topics.
Язык: Английский
Процитировано
898Frontiers in Human Neuroscience, Год журнала: 2015, Номер 9
Опубликована: Янв. 28, 2015
A brain-computer interface (BCI) is a communication system that allows the use of brain activity to control computers or other external devices. It can, by bypassing peripheral nervous system, provide means for people suffering from severe motor disabilities in persistent vegetative state. In this paper, brain-signal generation tasks, noise removal methods, feature extraction/selection schemes, and classification techniques fNIRS-based BCI are reviewed. The most common areas fNIRS primary cortex prefrontal cortex. relation cortex, imagery tasks were preferred execution since possible proprioceptive feedback could be avoided. showed significant advantage due no hair detecting cognitive like mental arithmetic, music imagery, emotion induction, etc. removing physiological data, band-pass filtering was mostly used. However, more advanced adaptive filtering, independent component analysis, multi optodes arrangement, being pursued overcome problem filter cannot used when both signals occur within close band. extracting features related desired signal, mean, variance, peak value, slope, skewness, kurtosis noised-removed hemodynamic response For classification, linear discriminant analysis method provided simple but good performance among others: support vector machine, hidden Markov model, artificial neural network, will widely monitor occurrence neuro-plasticity after neuro-rehabilitation neuro-stimulation. Technical breakthroughs future expected via bundled-type probes, hybrid EEG-fNIRS BCI, through detection initial dips.
Язык: Английский
Процитировано
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