Acute moderate exercise elicits increased dorsolateral prefrontal activation and improves cognitive performance with Stroop test DOI
Hiroki Yanagisawa, Ippeita Dan, Daisuke Tsuzuki

и другие.

NeuroImage, Год журнала: 2009, Номер 50(4), С. 1702 - 1710

Опубликована: Дек. 17, 2009

Язык: Английский

Pathobiology of ischaemic stroke: an integrated view DOI
Ulrich Dirnagl, Costantino Iadecola, Michael A. Moskowitz

и другие.

Trends in Neurosciences, Год журнала: 1999, Номер 22(9), С. 391 - 397

Опубликована: Сен. 1, 1999

Язык: Английский

Процитировано

3805

A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application DOI
Marco Ferrari, Valentina Quaresima

NeuroImage, Год журнала: 2012, Номер 63(2), С. 921 - 935

Опубликована: Март 28, 2012

Язык: Английский

Процитировано

1925

Shedding light onto live molecular targets DOI
Ralph Weissleder, Vasilis Ntziachristos

Nature Medicine, Год журнала: 2003, Номер 9(1), С. 123 - 128

Опубликована: Янв. 1, 2003

Язык: Английский

Процитировано

1873

Electromagnetic brain mapping DOI
Sylvain Baillet, John C. Mosher, Richard M. Leahy

и другие.

IEEE 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

1716

Noninvasive laser-induced photoacoustic tomography for structural and functional in vivo imaging of the brain DOI
Xueding Wang,

Yongjiang Pang,

Geng Ku

и другие.

Nature Biotechnology, Год журнала: 2003, Номер 21(7), С. 803 - 806

Опубликована: Июнь 13, 2003

Язык: Английский

Процитировано

1663

HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain DOI
Theodore J. Huppert, Solomon Diamond, Maria Angela Franceschini

и другие.

Applied 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

1474

Three-dimensional probabilistic anatomical cranio-cerebral correlation via the international 10–20 system oriented for transcranial functional brain mapping DOI

Masako Okamoto,

Haruka Dan,

Kuniko Sakamoto

и другие.

NeuroImage, Год журнала: 2003, Номер 21(1), С. 99 - 111

Опубликована: Дек. 12, 2003

Язык: Английский

Процитировано

1250

Diffuse optics for tissue monitoring and tomography DOI
Turgut Durduran, Regine Choe, Wesley B. Baker

и другие.

Reports 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

1064

Observed Brain Dynamics DOI
Partha P. Mitra,

Hemant Bokil

Oxford 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

898

fNIRS-based brain-computer interfaces: a review DOI Creative Commons
Noman Naseer, Keum‐Shik Hong

Frontiers 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

880