Performance comparison of systemic activity correction in functional near-infrared spectroscopy for methods with and without short distance channels DOI Creative Commons
Franziska Klein, Michael Lührs, Amaia Benitez-Andonegui

et al.

Neurophotonics, Journal Year: 2022, Volume and Issue: 10(01)

Published: Oct. 12, 2022

Functional near-infrared spectroscopy (fNIRS) is a promising tool for neurofeedback (NFB) or brain-computer interfaces (BCIs). However, fNIRS signals are typically highly contaminated by systemic activity (SA) artifacts, and, if not properly corrected, NFB BCIs run the risk of being based on noise instead brain activity. This can likely be reduced correcting SA, in particular when short-distance channels (SDCs) available. Literature comparing correction methods with and without SDCs still sparse, specifically comparisons considering single trials lacking.

Language: Английский

Functional near-infrared spectroscopy in movement science: a systematic review on cortical activity in postural and walking tasks DOI Creative Commons
Fabian Herold, Patrick Wiegel, Felix Scholkmann

et al.

Neurophotonics, Journal Year: 2017, Volume and Issue: 4(4), P. 041403 - 041403

Published: Aug. 1, 2017

Safe locomotion is a crucial aspect of human daily living that requires well-functioning motor control processes. The neuromotor activities such as walking relies on the complex interaction subcortical and cortical areas. Technical developments in neuroimaging systems allow quantification activation during execution tasks. Functional near-infrared spectroscopy (fNIRS) seems to be promising tool monitor processes areas freely moving subjects. However, so far, there no established standardized protocol regarding application data processing fNIRS signals limits comparability among studies. Hence, this systematic review aimed summarize current knowledge about studies dealing with or postural Fifty-six articles an initial yield 1420 publications were reviewed information methodology, processing, findings extracted. Based our results, we outline recommendations respect design Future perspectives measuring movement science are discussed.

Language: Английский

Citations

241

Exergame and Balance Training Modulate Prefrontal Brain Activity during Walking and Enhance Executive Function in Older Adults DOI Creative Commons
Patrick Eggenberger, Martin Wolf,

Martina Schumann

et al.

Frontiers in Aging Neuroscience, Journal Year: 2016, Volume and Issue: 8

Published: April 11, 2016

Different types of exercise training have the potential to induce structural and functional brain plasticity in elderly. Thereby, adaptations were observed during cognitive tasks magnetic resonance imaging studies that correlated with improved performance. This study aimed investigate if induces challenging treadmill walking elicits associated changes executive functions. Forty-two elderly participants recruited randomly assigned either interactive cognitive-motor video game dancing (DANCE) or balance stretching (BALANCE). The 8-week intervention included three sessions 30 min per week was completed by 33 (mean age 74.9 ± 6.9 years). Prefrontal cortex (PFC) activity preferred fast speed on a assessed applying near infrared spectroscopy pre- post-intervention. Additionally, functions comprising shifting, inhibition, working memory assessed. results showed both interventions significantly reduced left right hemispheric PFC oxygenation acceleration (p < 0.05 trend, r = 0.25-0.36), while DANCE larger reduction at end 30-s task compared BALANCE [F (1, 31) 3.54, p 0.035, 0.32]. These induced modulations 0.31-0.50). reductions may release resources focus attention other processes walking, which could be relevant improve mobility falls prevention provides deeper understanding associations between training, function cognition older adults.

Language: Английский

Citations

221

fNIRS response during walking — Artefact or cortical activity? A systematic review DOI
Rodrigo Vitório, Samuel Stuart, Lynn Rochester

et al.

Neuroscience & Biobehavioral Reviews, Journal Year: 2017, Volume and Issue: 83, P. 160 - 172

Published: Oct. 12, 2017

Language: Английский

Citations

145

Neuroimaging of Human Balance Control: A Systematic Review DOI Creative Commons

Ellen Wittenberg,

Jessica Thompson, Chang S. Nam

et al.

Frontiers in Human Neuroscience, Journal Year: 2017, Volume and Issue: 11

Published: April 10, 2017

This review examined 83 articles using neuroimaging modalities to investigate the neural correlates underlying static and dynamic human balance control, with aims support future mobile research in control domain. Furthermore, this analyzed mobility of hardware paradigms as well analytical methodology identify remove movement artifact acquired brain signal. We found that majority tasks utilized mechanical perturbations invoke feet-in-place responses (27 out 38 studies), while cognitive dual-task conditions were commonly used challenge (20 32 studies). While frequency analysis event related potential characteristics supported enhanced activation during studies was by spatial analysis. Twenty-three 50 utilizing EEG independent component artifacts from signals. Lastly, only eight truly systems. provides evidence an increase tasks, regardless mechanical, cognitive, or sensory challenges. current body literature demonstrates use advanced signal processing methodologies analyze activity movement. However, nature conventional prevent full limit our knowledge mechanisms control.

Language: Английский

Citations

139

A consensus guide to using functional near-infrared spectroscopy in posture and gait research DOI
Jasmine C. Menant, Inbal Maidan, Lisa Alcock

et al.

Gait & Posture, Journal Year: 2020, Volume and Issue: 82, P. 254 - 265

Published: Sept. 18, 2020

Language: Английский

Citations

107

Cognitive and motor dual task gait training improve dual task gait performance after stroke - A randomized controlled pilot trial DOI Creative Commons

Yan-Ci Liu,

Yea‐Ru Yang,

Yun-An Tsai

et al.

Scientific Reports, Journal Year: 2017, Volume and Issue: 7(1)

Published: June 16, 2017

This study investigated effects of cognitive and motor dual task gait training on performance in stroke. Participants (n = 28) were randomly assigned to (CDTT), (MDTT), or conventional physical therapy (CPT) group. CDTT MDTT group practiced the tasks respectively during walking. CPT received strengthening, balance, training. The intervention was 30 min/session, 3 sessions/week for 4 weeks. Three test conditions evaluate single walking, walking while performing (serial subtraction), (tray-carrying). Parameters included speed, cost speed (DTC-speed), cadence, stride time, length. After CDTT, cognitive-motor (stride length DTC-speed) improved (p 0.021; p 0.015). MDTT, (gait length, 0.008; 0.008 respectively). It seems that although such improvements did not reach significant difference. Therefore, different types can be adopted enhance

Language: Английский

Citations

102

Measuring prefrontal cortical activity during dual task walking in patients with Parkinson’s disease: feasibility of using a new portable fNIRS device DOI Creative Commons
Freek Nieuwhof,

Miriam F. Reelick,

Inbal Maidan

et al.

Pilot and Feasibility Studies, Journal Year: 2016, Volume and Issue: 2(1)

Published: Sept. 22, 2016

Many patients with Parkinson's disease (PD) have difficulties in performing a second task during walking (i.e., dual walking). Functional near-infrared spectroscopy (fNIRS) is promising approach to study the presumed contribution of dysfunction within prefrontal cortex (PFC) such difficulties. In this pilot study, we examined feasibility using new portable and wireless fNIRS device measure PFC activity different protocols PD. Specifically, tested whether PD were able perform protocol typical signal neuronal activity. We included 14 (age 71.2 ± 5.4 years, Hoehn Yahr stage II/III). The consisted five repetitions three conditions: while (i) counting forwards, (ii) serially subtracting, (iii) reciting digit spans. Ability complete protocol, perceived exertion, burden devices, concentrations oxygenated (O2Hb) deoxygenated (HHb) hemoglobin from left right measured. Two participants unable due fatigue mobility safety concerns. remaining 12 experienced no two devices completed ease. Bilateral O2Hb increased subtracting (left 0.46 μmol/L, 95 % confidence interval (CI) 0.12–0.81, 0.49 CI 0.14–0.84) spans 0.36 0.03–0.70, 0.44 0.09–0.78) when compared rest. HHb did not differ between tasks These findings suggest that feasible walking. Future studies should reduce level noise inter-individual variability enable measuring differences conditions across health states.

Language: Английский

Citations

90

Prefrontal cortical activation measured by fNIRS during walking: effects of age, disease and secondary task DOI Creative Commons
Paulo Henrique Silva Pelicioni,

Mylou Tijsma,

Stephen R. Lord

et al.

PeerJ, Journal Year: 2019, Volume and Issue: 7, P. e6833 - e6833

Published: May 3, 2019

Cognitive processes are required during walking to appropriately respond environmental and task demands. There now many studies that have used functional Near-Infrared Spectroscopy (fNIRS) record brain activation investigate neural bases of cognitive contributions in gait. The aim this systematic review was summarize the published research regarding Prefrontal cortical (PFC) patterns simple complex tasks young adults, older adults clinical groups with balance disorders using fNIRS. Our secondary evaluate each included study based on methodological reporting criteria important for good data quality.We conducted searches June 2018 four databases: Embase, PubMed, Scopus PsycINFO. strategy search was: (((((near infrared spectroscopy) OR near nirs) fnirs) AND (((gait) walking) locomotion) (((((young) adult) older) elderly) NOT children)) (((Brain) cortex) cortical) our search. papers met specific criteria: (i) fNIRS measure PFC patterns; (ii) (simple complex) and; (iii) assessed people, people and/or disorders.Thirty five (describing 75 comparisons) 308 retrieved through inclusion criteria. Based 6 considerations, 20 were high quality, 10 medium quality 5 low quality. Eleven/20 comparisons 23/37 15/18 reported increased complexity. majority verbal fluency, counting backwards or motor increases (83%, 64% 58% these studies, respectively). In contrast, no found visual activation.Increased most common involved walks comprising fluency arithmetic tasks. Clinical generally showed irrespective type performed which suggests require more attentional resources safe walking. Systematic registration number: PROSPERO 2017 - CRD42017059501.

Language: Английский

Citations

90

Brain Activation Changes While Walking in Adults with and without Neurological Disease: Systematic Review and Meta-Analysis of Functional Near-Infrared Spectroscopy Studies DOI Creative Commons
Alka Bishnoi, Roee Holtzer, Manuel E. Hernandez

et al.

Brain Sciences, Journal Year: 2021, Volume and Issue: 11(3), P. 291 - 291

Published: Feb. 26, 2021

(1) Functional near-infrared spectroscopy (fNIRS) provides a useful tool for monitoring brain activation changes while walking in adults with neurological disorders. When combined dual task paradigms, fNIRS allows to be monitored when individuals concurrently attend multiple tasks. However, differences baseline, and coverage of cortical areas, presents uncertainty the interpretation overarching findings. (2) Methods: By conducting systematic review 35 studies meta-analysis 75 effect sizes from 17 on or without disorders, we show that performance obstacle walking, serial subtraction letter generation tasks result significant increases prefrontal cortex relative standing baselines. (3) Results: Overall, find have largest between single gait are seen persons sclerosis stroke. (4) Conclusions: Older disease generally showed increased suggesting use more attentional resources during which could lead fall risk mobility impairments. PROSPERO ID: 235228.

Language: Английский

Citations

59

Analysis of Human Gait Using Hybrid EEG-fNIRS-Based BCI System: A Review DOI Creative Commons
Haroon Khan, Noman Naseer, Anis Yazidi

et al.

Frontiers in Human Neuroscience, Journal Year: 2021, Volume and Issue: 14

Published: Jan. 25, 2021

Human gait is a complex activity that requires high coordination between the central nervous system, limb, and musculoskeletal system. More research needed to understand latter coordination's complexity in designing better more effective rehabilitation strategies for disorders. Electroencephalogram (EEG) functional near-infrared spectroscopy (fNIRS) are among most used technologies monitoring brain activities due portability, non-invasiveness, relatively low cost compared others. Fusing EEG fNIRS well-known established methodology proven enhance brain–computer interface (BCI) performance terms of classification accuracy, number control commands, response time. Although there has been significant exploring hybrid BCI (hBCI) involving both different types tasks human activities, remains still underinvestigated. In this article, we aim shed light on recent development analysis using EEG-fNIRS-based The current review followed guidelines preferred reporting items systematic reviews meta-Analyses (PRISMA) during data collection selection phase. review, put particular focus commonly signal processing machine learning algorithms, as well survey potential applications analysis. We distill some critical findings follows. First, hardware specifications experimental paradigms should be carefully considered because their direct impact quality assessment. Second, since modalities, fNIRS, sensitive motion artifacts, instrumental, physiological noises, quest robust sophisticated algorithms. Third, temporal spatial features, obtained by virtue fusing associated with cortical activation, can help identify correlation activation gait. conclusion, hBCI (EEG + fNIRS) system not yet much explored lower limb its higher limb. Existing systems tend only one modality. foresee vast adopting Imminent technical breakthroughs expected assistive devices Monitor neuro-plasticity neuro-rehabilitation. However, although those perform controlled environment when it comes them certified medical device real-life clinical applications, long way go.

Language: Английский

Citations

58