Quantitative assessment of near-infrared spectroscopy time course under hypercapnia using an a priori model-based fitting

Vagné, Victor; Bars, Emmanuelle Le; Deverdun, Jérémy; Rossel, Olivier; Perrey, Stéphane; Costalat, Vincent; Guiraud, David

doi:10.1016/j.compbiomed.2020.103638

Cited by 2 publications

(3 citation statements)

References 20 publications

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“…fNIRS has been previously used to quantify CVR in both breath-holding and gas inhalation settings (Amyot et al, 2020(Amyot et al, , 2022Karunakaran et al, 2021;S. Miller & Mitra, 2021;Reddy et al, 2021;Smielewski et al, 1995;Vagné et al, 2020). Wilson and colleagues measured CVR in 6 individuals with tetraplegia using both transcranial doppler and fNIRS, and reported similar CVR in response to CO2 in tetraplegia and able-bodied control groups, suggesting cerebrovascular adaptation with chronic tetraplegia (Wilson et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…Despite its lower spatial resolution, it has a higher temporal resolution than fMRI ( Ferrari & Quaresima, 2012 ), up to 100 Hz, which offers an advantage in better characterizing the delays in CVR ( Amyot et al, 2020 ; MacIntosh et al, 2003 ). fNIRS has been previously used to quantify CVR in both breath-holding and gas inhalation settings ( Amyot et al, 2020 , 2022 ; Karunakaran et al, 2021 ; S. Miller & Mitra, 2021 ; Reddy et al, 2021 ; Smielewski et al, 1995 ; Vagné et al, 2020 ). Wilson and colleagues measured CVR in 6 individuals with tetraplegia using both transcranial doppler and fNIRS, and reported similar CVR in response to CO2 in tetraplegia and able-bodied control groups, suggesting cerebrovascular adaptation with chronic tetraplegia ( Wilson et al, 2010 ).…”

Section: Introductionmentioning

confidence: 99%

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Delayed cerebrovascular reactivity in individuals with spinal cord injury in the right inferior parietal lobe: a breath-hold functional near-infrared spectroscopy study

Chen,

Di,

Karunakaran

et al. 2024

Preprint

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Cerebrovascular reactivity (CVR) reflects the ability of blood vessels to dilate or constrict in response to a vasoactive stimulus, and allows researchers to assess the brain’s vascular health. Individuals with spinal cord injury (SCI) are at an increased risk for autonomic dysfunction in addition to cognitive impairments, which have been linked to a decline in CVR; however, there is currently a lack of brain-imaging studies that investigate how CVR is altered after SCI. In this study, we used a breath-holding hypercapnic stimulus and functional near-infrared spectroscopy (fNIRS) to investigate CVR alterations in individuals with SCI (n = 20, 14M, 6F, mean age = 46.3 ± 10.2 years) as compared to age– and sex-matched able-bodied (AB) controls (n = 25, 19M, 6F, mean age = 43.2 ± 12.28 years). CVR was evaluated by its amplitude and delay components separately by using principal component analysis and cross-correlation analysis, respectively. We observed significantly delayed CVR in the right inferior parietal lobe in individuals with SCI compared to AB controls (linear mixed-effects model, fixed-effects estimate = 6.565, Satterthwaite’s t-test, t = 2.663, p = 0.008), while the amplitude of CVR was not significantly different. The average CVR delay in the SCI group in the right inferior parietal lobe was 14.21 s (sd: 6.60 s), and for the AB group, the average delay in the right inferior parietal lobe was 7.08 s (sd: 7.39 s). CVR delays were also associated with the duration since injury in individuals with SCI, in which a longer duration since injury was associated with a shortened delay in CVR in the right inferior parietal region (Pearson’s r-correlation, r = –0.59, p = 0.04). This study shows that fNIRS can be used to quantify changes in CVR in individuals with SCI, and may be further used in rehabilitative settings to monitor the cerebrovascular health of individuals with SCI.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Delayed cerebrovascular reactivity in individuals with spinal cord injury in the right inferior parietal lobe: a breath-hold functional near-infrared spectroscopy study

Chen,

Di,

Karunakaran

et al. 2024

Preprint

View full text Add to dashboard Cite

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“…In this study, near-infrared spectroscopy (NIRS) was used to record the muscular hemodynamic responses from bilateral femoris (biceps brachii) muscles during passive and active upper (lower) limbs circular exercise, and ensemble learning was used to classify the subject's dyskinesias degree. NIRS is noninvasive, low-cost, and portable, and is widely used in clinical research [13][14][15]. It is becoming an important tool in the study of motor function and recovery after stroke [16,17].…”

Section: Introductionmentioning

confidence: 99%

Gradient boosting DD‐MLP Net: An ensemble learning model using near‐infrared spectroscopy to classify after‐stroke dyskinesia degree during exercise

Liang,

Bian,

Chen

et al. 2023

Journal of Biophotonics

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This study aims to develop an automatic assessment of after‐stroke dyskinesias degree by combining machine learning and near‐infrared spectroscopy (NIRS). Thirty‐five subjects were divided into five stages (healthy, patient: Brunnstrom stages 3, 4, 5, 6). NIRS was used to record the muscular hemodynamic responses from bilateral femoris (biceps brachii) muscles during passive and active upper (lower) limbs circular exercise. We used the D‐S evidence theory to conduct feature information fusion and established a Gradient Boosting DD‐MLP Net model, combining the dendrite network and multilayer perceptron, to realize automatic dyskinesias degree evaluation. Our model classified the upper limb dyskinesias with high accuracy: 98.91% under the passive mode and 98.69% under the active mode, and classified the lower limb dyskinesias with high accuracy: 99.45% and 99.63% under the passive and active modes, respectively. Our model combined with NIRS has great potential in monitoring the after‐stroke dyskinesias degree and guiding rehabilitation training.

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Quantitative assessment of near-infrared spectroscopy time course under hypercapnia using an a priori model-based fitting

Cited by 2 publications

References 20 publications

Delayed cerebrovascular reactivity in individuals with spinal cord injury in the right inferior parietal lobe: a breath-hold functional near-infrared spectroscopy study

Delayed cerebrovascular reactivity in individuals with spinal cord injury in the right inferior parietal lobe: a breath-hold functional near-infrared spectroscopy study

Gradient boosting DD‐MLP Net: An ensemble learning model using near‐infrared spectroscopy to classify after‐stroke dyskinesia degree during exercise

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