Using multivariate partial least squares on fNIRS data to examine load-dependent brain-behaviour relationships in aging DOI Creative Commons
Claudia Cristina Ortega González,

Supreeta Ranchod,

Mark Rakobowchuk

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(10), P. e0312109 - e0312109

Published: Oct. 14, 2024

Researchers implementing non-invasive neuroimaging have reported distinct load-dependent brain activity patterns in older adults compared with younger adults. Although findings are mixed, these age-related often associated compensatory mechanisms of cognitive decline even the absence direct comparisons between and performance. This study investigated effects load on brain-behavior relationships using a data-driven, multivariate partial least squares (PLS) analysis functional near-infrared spectroscopy (fNIRS) data. We measured bilateral prefrontal 31 27 while they performed single dual 2-back tasks. Behavioral PLS was used to determine performance metrics (reaction time error rate) oxygenation (HbO) deoxygenation (HbR) across groups task loads. Results revealed significant age-group differences relationships. In adults, increased (i.e., HbO decreased HbR) faster reaction times better accuracy task, indicating sufficient neural capacity. Conversely, showed negative correlation HbR rates task; however, demonstrated positive relationship performance, indicative under higher load. Overall, adults’ either or HbO, but not both, that robustness behavior varies conditions. Our approach age groups, providing further insight into neurocognitive aging patterns, such as mechanisms, by emphasizing variability complexity also highlight importance considering demands interpreting patterns.

Language: Английский

THE PROMISE OF INVESTIGATING NEURAL VARIABILITY IN PSYCHIATRIC DISORDERS DOI Creative Commons

Konstantinos Tsikonofilos,

Arvind Kumar, Konstantinos Ampatzis

et al.

Biological Psychiatry, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

0
Impact of hearing loss on brain signal variability in older adults under different auditory load conditions DOI Creative Commons

Songjian Wang,

Tong Liu,

Yi Liu

et al.

Frontiers in Aging Neuroscience, Journal Year: 2025, Volume and Issue: 17

Published: Feb. 27, 2025

The moment-by-moment variability in brain signals, a newly recognized indicator, demonstrates both the adaptability of an individual's as unique trait and distribution neural resources within that individual response to constantly shifting task requirements. This study aimed explore signal older adults using oxyhemoglobin (HbO) derived from fNIRS during tasks with increasing signal-to-noise ratio (SNR) loads assess effects varying degrees hearing loss on speech recognition performance related patterns. Eighty-one participants were categorized into three groups: healthy controls (n = 30, aged 65.5 ± 3.4), mild 25, 66.0 3.7), moderate severe 26, 67.5 3.7). Speech perception was tested under quiet, 5 dB SNR, 0 SNR conditions. Results revealed increased higher adults, indicating enhanced resource allocation load. In contrast, we found reduced tasks, especially noisy conditions, groups, possibly decreased processing efficiency. Additionally, positive correlation between observed control across all suggesting could dynamically respond precise level auditory environment demands. However, this relationship only significant at condition groups. Taken together, underscores impact modulation cognitive highlights need for further research understand underlying mechanisms.

Language: Английский

Citations

0
Effects and mechanisms of synchronous virtual reality action observation and electrical stimulation on upper extremity motor function and activities of daily living in patients with stroke: a protocol for a randomized controlled trial DOI Creative Commons
Yao Cui, Cong Fang, Ming Zeng

et al.

Frontiers in Neurology, Journal Year: 2025, Volume and Issue: 16

Published: April 4, 2025

Background Existing rehabilitation techniques are not satisfactory in improving motor function after stroke, resulting heavy social burdens. With discovery of mirror neuron system (MNS), action observation (AO) has become a promising strategy to promote learning rehabilitation. Based on MNS theory and virtual reality (VR) technology, we designed an innovative rehabilitative approach: synchronous 360° VR video AO (VRAO) neuromuscular electrical stimulation (NMES). We hypothesized that VRAO+NMES could enhance activation, thus improve upper limb activities daily living stroke survivors. Methods To explore the efficacy mechanism VRAO+NMES, this single center, evaluator blinded, prospective, two arm parallel group randomized controlled trial with 1:1 allocation ratio. The experiment will receive while control landscape combined NMES. Fugl-Meyer Assessment for Upper Extremity is primary outcome study, Brunstrom Recovery Stages Extremity, Manual Muscle Test, Range Motion, Modified Barthel Index, Functional Independence Measure secondary outcomes. In addition, functional near-infrared spectroscopy (fNIRS) surface electromyography (sEMG) be used evaluate activation brain regions related muscles, respectively. Discussion Applying therapy (AOT) popular, another study direction AOT combine it peripheral stimulations simultaneously. Due its full immersive characteristic multi-sensory input, videos based motivation engagement level participants. fNIRS sEMG test results may act as good biomarkers predict outcomes, helping select suitable candidates new intervention. Conclusion provide evidence feasibility potential clinical rehabilitation, applicability generalize use hospital, community, home settings. Clinical registration https://www.chictr.org.cn/showproj.html?proj=178276 , Identifier [ChiCTR2200063552].

Language: Английский

Citations

0
Using multivariate partial least squares on fNIRS data to examine load-dependent brain-behaviour relationships in aging DOI Creative Commons
Claudia Cristina Ortega González,

Supreeta Ranchod,

Mark Rakobowchuk

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(10), P. e0312109 - e0312109

Published: Oct. 14, 2024

Researchers implementing non-invasive neuroimaging have reported distinct load-dependent brain activity patterns in older adults compared with younger adults. Although findings are mixed, these age-related often associated compensatory mechanisms of cognitive decline even the absence direct comparisons between and performance. This study investigated effects load on brain-behavior relationships using a data-driven, multivariate partial least squares (PLS) analysis functional near-infrared spectroscopy (fNIRS) data. We measured bilateral prefrontal 31 27 while they performed single dual 2-back tasks. Behavioral PLS was used to determine performance metrics (reaction time error rate) oxygenation (HbO) deoxygenation (HbR) across groups task loads. Results revealed significant age-group differences relationships. In adults, increased (i.e., HbO decreased HbR) faster reaction times better accuracy task, indicating sufficient neural capacity. Conversely, showed negative correlation HbR rates task; however, demonstrated positive relationship performance, indicative under higher load. Overall, adults’ either or HbO, but not both, that robustness behavior varies conditions. Our approach age groups, providing further insight into neurocognitive aging patterns, such as mechanisms, by emphasizing variability complexity also highlight importance considering demands interpreting patterns.

Language: Английский

Citations

0