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[PDF] Top 20 Nonlinear Analysis of the BOLD Signal

Has 10000 "Nonlinear Analysis of the BOLD Signal" found on our website. Below are the top 20 most common "Nonlinear Analysis of the BOLD Signal".

Nonlinear Analysis of the BOLD Signal

Nonlinear Analysis of the BOLD Signal

... known experimental inputs or perturbations. Our model can be regarded as a stochastic Dynamic Causal Model for a signal brain region, which allows for noise or random fluctuations on the underlying or hidden ... See full document

13

Nonlinear estimation of BOLD signals with the aid of cerebral blood volume imaging

Nonlinear estimation of BOLD signals with the aid of cerebral blood volume imaging

... 15. Hu ZH, Shi PC. Nonlinear analysis of BOLD signal: biophysical modeling, physiological states, and functional activa- tion. In: 2007 IEEE international conference on image processing ... See full document

11

Analysis of the spectrum transform for narrow band signal passing through nonlinear section of a digital radar receiver

Analysis of the spectrum transform for narrow band signal passing through nonlinear section of a digital radar receiver

... In this paper, with the analytical method, the problem of unexpected bandwidth occupying is investigated firstly when a narrow-band signal passes through the inertialess nonlinear section of a digital radar ... See full document

10

Altered blood oxygen level-dependent signal variability in chronic post-traumatic stress disorder during symptom provocation

Altered blood oxygen level-dependent signal variability in chronic post-traumatic stress disorder during symptom provocation

... whether BOLD signal variability was altered in chronic PTSD patients during symptom ...regression analysis was performed to explore the relationship between BOLD signal variability and ... See full document

11

A Comparative Analysis of Kernel Subspace Target Detectors for Hyperspectral Imagery

A Comparative Analysis of Kernel Subspace Target Detectors for Hyperspectral Imagery

... Matched signal detectors, such as spectral matched filter and matched subspace detectors (whether adaptive or non- adaptive), only exploit second-order correlations, thus com- pletely ignoring nonlinear ... See full document

13

Long-latency reductions in gamma power predict hemodynamic changes that underlie the negative BOLD signal

Long-latency reductions in gamma power predict hemodynamic changes that underlie the negative BOLD signal

... Localization of the whisker barrel and surrounding regions. We used 2D-OIS to provide a functional localization of the whisker barrel cortex by detecting the hemodynamic changes that occurred in response to brief ... See full document

17

How Depth of Anesthesia Influences the Blood Oxygenation Level–Dependent Signal from the Visual Cortex of Children

How Depth of Anesthesia Influences the Blood Oxygenation Level–Dependent Signal from the Visual Cortex of Children

... Positive BOLD Response. The peak ⌬ R2* at a sevoflurane concentration of 0.5 MAC is identical to that obtained in the awake state. 11 Our analysis revealed that increasing the sevoflurane concentration from ... See full document

7

Comparative Analysis of Noise Signal on Application of FIR Filter

Comparative Analysis of Noise Signal on Application of FIR Filter

... a nonlinear, non-differentiable and multimodal optimization problem that requires a suitable objective function to provide an accurate control of the various parameters of frequency ... See full document

9

Simulation of nonideal component effects in sigma-delta modulators

Simulation of nonideal component effects in sigma-delta modulators

... analysis of a nonlinear model. The nonlinear model of a first order modulator shown in Figure 2. AI is the modulator analog input. ERR is the error signal formed by subtracting PT, the p[r] ... See full document

37

Nonlinear cochlear signal processing

Nonlinear cochlear signal processing

... The Introduction section reviews the nature of modeling and briefly describes the anatomy of the inner ear, and the function of inner and outer hair cells. In Sec. 1 we reviewed the his- tory of cochlear modeling. The ... See full document

66

The Effects of Acetazolamide on the Evaluation of Cerebral Hemodynamics and Functional Connectivity Using Blood Oxygen Level–Dependent MR Imaging in Patients with Chronic Steno Occlusive Disease of the Anterior Circulation

The Effects of Acetazolamide on the Evaluation of Cerebral Hemodynamics and Functional Connectivity Using Blood Oxygen Level–Dependent MR Imaging in Patients with Chronic Steno Occlusive Disease of the Anterior Circulation

... TS analysis by using the SSS signal as the reference was used to correct the BOLD signal for functional con- nectivity analysis because of its better per- formance in delineating ... See full document

7

<p>The low-frequency BOLD signal oscillation response in the insular associated to immediate analgesia of ankle acupuncture in patients with chronic low back pain</p>

<p>The low-frequency BOLD signal oscillation response in the insular associated to immediate analgesia of ankle acupuncture in patients with chronic low back pain</p>

... Patients and methods: Fourteen participants diagnosed with CLBP received AA and under- went one brain functional image scan after tactile stimulation and another one following the insertion of the needle. The needling ... See full document

10

Heme arginate improves reperfusion patterns after ischemia: a randomized, placebo controlled trial in healthy male subjects

Heme arginate improves reperfusion patterns after ischemia: a randomized, placebo controlled trial in healthy male subjects

... peak BOLD signal after ischemic preconditioning four hours prior to 20 minutes of ...peak BOLD signal after ischemic precondi- ...better signal-to-noise ratio but showed a slightly ... See full document

6

Non-linear minimum variance estimation for discrete-time multi-channel systems

Non-linear minimum variance estimation for discrete-time multi-channel systems

... of nonlinear minimum variance (NMV) es- timation problems is ...with nonlinear communication channels containing ...time nonlinear estimator can be ... See full document

8

Gender Recognition Using Voice Signal Analysis

Gender Recognition Using Voice Signal Analysis

... Fourier analysis is that the ancient technique of computing the phase and amplitude spectra of speech ...speech signal is comprised of excitation-source and linear signal ...Fourier analysis ... See full document

5

Functional neuroimaging studies of the human somatosensory system

Functional neuroimaging studies of the human somatosensory system

... Although the hypotheses of this work focused on the effects of different rates of somatosensory stimulation on the evoked BOLD signal in SI, the rate- responsiveness of primate sensory systems is not ... See full document

335

Measuring nonlinear signal combination using EEG

Measuring nonlinear signal combination using EEG

... Several recent studies have employed measurements of responses at intermodulation frequencies to examine signal combinations in visual cortex. Boremanse, Nor- cia, and Rossion (2013) presented half-face stimuli at ... See full document

15

Effect of ischemic preconditioning in skeletal muscle measured by functional magnetic resonance imaging and spectroscopy: a randomized crossover trial

Effect of ischemic preconditioning in skeletal muscle measured by functional magnetic resonance imaging and spectroscopy: a randomized crossover trial

... Impaired reperfusion had a potent influence on the recovery of PCr in healthy subjects. The decline of PCr during ischemia is consistent with previous data [10,12]. However, low-flow reperfusion prevented the recovery of ... See full document

10

Non-linear minimum variance estimation for fault detection systems

Non-linear minimum variance estimation for fault detection systems

... The Nonlinear Minimum Variance ( NMV) estimation technique is used to generate a residual signal which is then used to detect actuator and sensor faults in the ...the nonlinear estimator theory and ... See full document

17

Measuring nonlinear signal combination using EEG

Measuring nonlinear signal combination using EEG

... Studies of fMRI (McDonald, Mannion, & Clifford, 2012) and positron emission topography (PET) (Wen- deroth, Watson, Egan, Tochon-Danguy, & O’Keefe, 1999) have shown similar responses to plaid and grating stimuli ... See full document

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