Cerebrovascular dynamics in patients with migraine: Near-infrared spectroscopy study

Akın, Ata; Bilensoy, Didem; Emir, Uzay E.; Gülsoy, Murat; Candansayar, Selçuk; Bolay, Hayrünnisa

doi:10.1016/j.neulet.2006.02.016

Cited by 39 publications

(42 citation statements)

References 37 publications

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“…MRI and PETCO 2 data were then imported into the software AFNI. 12 A plot of head position versus time for each ASL MRI data set was used to excluded those patients (13 of 38) with head displacement of one half voxel width or greater along any of 3 orthogonal axes. Each patient's BOLD MRI data set was temporally shifted to the point of maximum statistical correlation with the patient's PETCO 2 waveform.…”

Section: Data Processingmentioning

confidence: 99%

Mapping Cerebrovascular Reactivity Using Blood Oxygen Level-Dependent MRI in Patients With Arterial Steno-occlusive Disease

Mandell

Han

Poublanc

et al. 2008

Stroke

207

221

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Background and Purpose-Blood oxygen level-dependent MRI (BOLD MRI) of hypercapnia-induced changes in cerebral blood flow is an emerging technique for mapping cerebrovascular reactivity (CVR). BOLD MRI signal reflects cerebral blood flow, but also depends on cerebral blood volume, cerebral metabolic rate, arterial oxygenation, and hematocrit. The purpose of this study was to determine whether, in patients with stenoocclusive disease, the BOLD MRI signal response to hypercapnia is directly related to changes in cerebral blood flow. Methods-Thirty-eight patients with steno-occlusive disease underwent mapping of CVR by both BOLD MRI and arterial spin labeling MRI. The latter technique was used as a reference standard for measurement of cerebral blood flow changes. Results-Hemispheric

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Section: Data Processingmentioning

confidence: 99%

Mapping Cerebrovascular Reactivity Using Blood Oxygen Level-Dependent MRI in Patients With Arterial Steno-occlusive Disease

Mandell

Han

Poublanc

et al. 2008

Stroke

207

221

View full text Add to dashboard Cite

show abstract

“…Experiments were performed using a continuous-wave near-infrared spectroscopy device (NIROXCOPE 301) built in Biophotonics Laboratory, Bogaziçi University [21], [22]. The device is capable of transmitting near-infrared light at two wavelengths (730 and 850 nm), which are known to be able to penetrate through the scalp and probe the cerebral cortex.…”

Section: B Fnirs Data Acquisitionmentioning

confidence: 99%

Multilevel Statistical Inference From Functional Near-Infrared Spectroscopy Data During Stroop Interference

Çiftçi

Sankur

Kahya

et al. 2008

IEEE Trans. Biomed. Eng.

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Abstract-Functional near-infrared spectroscopy (fNIRS) is an emerging technique for monitoring the concentration changes of oxy-and deoxy-hemoglobin (oxy-Hb and deoxy-Hb) in the brain. An important consideration in fNIRS-based neuroimaging modality is to conduct group-level analysis from a set of time series measured from a group of subjects. We investigate the feasibility of multilevel statistical inference for fNIRS. As a case study, we search for hemodynamic activations in the prefrontal cortex during Stroop interference. Hierarchical general linear model (GLM) is used for making this multilevel analysis. Activation patterns both at the subject and group level are investigated on a comparative basis using various classical and Bayesian inference methods. All methods showed consistent left lateral prefrontal cortex activation for oxy-Hb during interference condition, while the effects were much less pronounced for deoxy-Hb. Our analysis showed that mixed effects or Bayesian models are more convenient for faithful analysis of fNIRS data. We arrived at two important conclusions. First, fNIRS has the capability to identify activations at the group level, and second, the mixed effects or Bayesian model is the appropriate mechanism to pass from subject to group-level inference.Index Terms-General linear model (GLM), near-infrared spectroscopy, statistical inference, Stroop task.

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“…Details of this system and its probe configuration have been described in detail in our previous studies [2,4]. Calculations of Hb and HbO 2 concentration changes have been performed by the well established ''modified Beer-Lambert law'' [12,27,31,35].…”

Section: Measurementsmentioning

confidence: 99%

“…The procedure is a direct adaptation from McCarthy et al [25] and is the similar one used in our previous studies [2][3][4]. It is a simple discrimination task, or ''oddball'' paradigm, in which subjects are presented with two stimuli in a Bernoulli sequence in the center of the screen.…”

Section: Experimental Protocolmentioning

confidence: 99%

“…Data were preprocessed with outlier elimination, low pas filtering, and detrending algorithms explained in our previous studies [2][3][4]. Finally, since our purpose is the extraction of waveforms associated with cognitive activity, we focus on the fNIRS segments that consist of the m samples taken just after the known target stimulus instants.…”

Section: Experimental Protocolmentioning

confidence: 99%

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Extraction of cognitive activity-related waveforms from functional near-infrared spectroscopy signals

2006

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We address the problem of prototypical waveform extraction in cognitive experiments using functional near-infrared spectroscopy (fNIRS) signals. These waveform responses are evoked with visual stimuli provided in an oddball type experimental protocol. As the statistical signal-processing tool, we consider the linear signal space representation paradigm and use independent component analysis (ICA). The assumptions underlying ICA is discussed in the light of the signal measurement and generation mechanisms in the brain. The ICA-based waveform extraction is validated based both on its conformance to the parametric brain hemodynamic response (BHR) model and to the coherent averaging technique. We assess the intra-subject and inter-subject waveform and parameter variability.

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Cerebrovascular dynamics in patients with migraine: Near-infrared spectroscopy study

Cited by 39 publications

References 37 publications

Mapping Cerebrovascular Reactivity Using Blood Oxygen Level-Dependent MRI in Patients With Arterial Steno-occlusive Disease

Mapping Cerebrovascular Reactivity Using Blood Oxygen Level-Dependent MRI in Patients With Arterial Steno-occlusive Disease

Multilevel Statistical Inference From Functional Near-Infrared Spectroscopy Data During Stroop Interference

Extraction of cognitive activity-related waveforms from functional near-infrared spectroscopy signals

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