Exploring brain functional connectivity in rest and sleep states: a fNIRS study DOI Creative Commons
Thien Huu Nguyen,

Olajide Babawale,

Tae Kim

и другие.

Scientific Reports, Год журнала: 2018, Номер 8(1)

Опубликована: Окт. 26, 2018

Abstract This study investigates the brain functional connectivity in rest and sleep states. We collected EEG, EOG, fNIRS signals simultaneously during phases. The phase was defined as a quiet wake-eyes open (w_o) state, while separated into three states; closed (w_c), non-rapid eye movement stage 1 (N1), 2 (N2) using EEG EOG signals. were used to calculate cerebral hemodynamic responses (oxy-, deoxy-, total hemoglobin). grouped 133 channels five regions (frontal, motor, temporal, somatosensory, visual areas). These then form fifteen networks. A network computed by calculating Pearson correlation coefficients of between belonging network. networks compared across states connection ratio strength calculated from normalized coefficients. Across all hemoglobin types, high w_c N1 low w_o N2 In addition, similar lower Based on our experimental results, we believe that has potential be main tool

Язык: Английский

Battery-free, stretchable optoelectronic systems for wireless optical characterization of the skin DOI Creative Commons
Jeonghyun Kim, Giovanni A. Salvatore, Hitoshi Araki

и другие.

Science Advances, Год журнала: 2016, Номер 2(8)

Опубликована: Авг. 4, 2016

Stretchable, wireless health monitoring patches to evaluate heart rate, blood oximetry, UV exposure, and skin coloration.

Язык: Английский

Процитировано

371

Best practices for fNIRS publications DOI Creative Commons
Meryem A. Yücel, Alexander von Lühmann, Felix Scholkmann

и другие.

Neurophotonics, Год журнала: 2021, Номер 8(01)

Опубликована: Янв. 7, 2021

The application of functional near-infrared spectroscopy (fNIRS) in the neurosciences has been expanding over last 40 years. Today, it is addressing a wide range applications within different populations and utilizes great variety experimental paradigms. With rapid growth diversification research methods, some inconsistencies are appearing way which methods presented, can make interpretation replication studies unnecessarily challenging. Society for Functional Near-Infrared Spectroscopy thus motivated to organize representative (but not exhaustive) group leaders field build consensus on best practices describing utilized fNIRS studies. Our paper designed provide guidelines help enhance reliability, repeatability, traceability reported encourage throughout community. A checklist provided guide authors preparation their manuscripts assist reviewers when evaluating papers.

Язык: Английский

Процитировано

367

Applications of Functional Near-Infrared Spectroscopy (fNIRS) Neuroimaging in Exercise–Cognition Science: A Systematic, Methodology-Focused Review DOI Open Access
Fabian Herold, Patrick Wiegel, Felix Scholkmann

и другие.

Journal of Clinical Medicine, Год журнала: 2018, Номер 7(12), С. 466 - 466

Опубликована: Ноя. 22, 2018

For cognitive processes to function well, it is essential that the brain optimally supplied with oxygen and blood. In recent years, evidence has emerged suggesting cerebral oxygenation hemodynamics can be modified physical activity. To better understand relationship between oxygenation/hemodynamics, activity, cognition, application of state-of-the art neuroimaging tools essential. Functional near-infrared spectroscopy (fNIRS) such a tool especially suitable investigate effects activity/exercises on due its capability quantify changes in concentration oxygenated hemoglobin (oxyHb) deoxygenated (deoxyHb) non-invasively human brain. However, currently there no clear standardized procedure regarding application, data processing, analysis fNIRS, large heterogeneity how fNIRS applied field exercise–cognition science. Therefore, this review aims summarize current methodological knowledge about studies measuring cortical hemodynamic responses during testing (i) prior after different activities interventions, (ii) cross-sectional accounting for fitness level their participants. Based methodology 35 as relevant considered publications, we outline recommendations future

Язык: Английский

Процитировано

361

Brain-to-brain synchrony in parent-child dyads and the relationship with emotion regulation revealed by fNIRS-based hyperscanning DOI
Vanessa Reindl, Christian Gerloff,

Wolfgang Scharke

и другие.

NeuroImage, Год журнала: 2018, Номер 178, С. 493 - 502

Опубликована: Май 26, 2018

Язык: Английский

Процитировано

343

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

и другие.

Neurophotonics, Год журнала: 2017, Номер 4(4), С. 041403 - 041403

Опубликована: Авг. 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.

Язык: Английский

Процитировано

245

Deep learning for hybrid EEG-fNIRS brain–computer interface: application to motor imagery classification DOI
Antonio Maria Chiarelli, Pierpaolo Croce, Arcangelo Merla

и другие.

Journal of Neural Engineering, Год журнала: 2018, Номер 15(3), С. 036028 - 036028

Опубликована: Фев. 15, 2018

Objective. Brain–computer interface (BCI) refers to procedures that link the central nervous system a device. BCI was historically performed using electroencephalography (EEG). In last years, encouraging results were obtained by combining EEG with other neuroimaging technologies, such as functional near infrared spectroscopy (fNIRS). A crucial step of is brain state classification from recorded signal features. Deep artificial neural networks (DNNs) recently reached unprecedented complex outcomes. These performances achieved through increased computational power, efficient learning algorithms, valuable activation functions, and restricted or back-fed neurons connections. By expecting significant overall performances, we investigated capabilities fNIRS recordings state-of-the-art deep procedures. Approach. We guided left right hand motor imagery task on 15 subjects fixed response time 1 s experiment length 10 min. Left versus accuracy DNN in multi-modal recording modality estimated it compared standalone classifiers. Main results. At group level increase performance when considering classifier synergistic effect. Significance. can be significantly improved employing provide electrical hemodynamic activity information, combination advanced non-linear

Язык: Английский

Процитировано

173

Beer–Lambert law for optical tissue diagnostics: current state of the art and the main limitations DOI Creative Commons

Ilze Oshina,

Jānis Spīgulis

Journal of Biomedical Optics, Год журнала: 2021, Номер 26(10)

Опубликована: Окт. 28, 2021

Beer-Lambert law (BLL) is a widely used tool for contact and remote determination of absorber concentration in various media, including living tissues. Originally proposed the 18th century as simple exponential expression, it has survived numerous modifications updates. The basic assumptions this may not be fulfilled real measurement conditions. This can lead to mistaken or misinterpreted results. In particular, effects additionally taken into account tissue measurements include anisotropy, scattering, fluorescence, chemical equilibria, interference, dichroism, spectral bandwidth disagreements, stray radiation, instrumental effects.We review current state art main limitations diagnostics using BLL. Historical development updating by taking specific additional factors such light scattering photon pathlengths diffuse reflectance described, along with highlighting risks considered interpreting measured data.Literature data related extension modification BLL assessment estimation molecules are collected analyzed. emphasis here put on optical chromophore concentrations physiological parameters, e.g., blood oxygen saturation.Modified expressions suitable several cases characterization presented discussed.Applications updated/modified (MBLL) respect particular conditions helpful obtaining more reliable target biochemical content. MBLL accounting role ways appears successful approach. Extended time domain form could provide accurate results, but requires resources spent.

Язык: Английский

Процитировано

145

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

и другие.

Neuroscience & Biobehavioral Reviews, Год журнала: 2017, Номер 83, С. 160 - 172

Опубликована: Окт. 12, 2017

Язык: Английский

Процитировано

146

Signal Processing in Functional Near-Infrared Spectroscopy (fNIRS): Methodological Differences Lead to Different Statistical Results DOI Creative Commons

Mischa D. Pfeifer,

Felix Scholkmann, Rob Labruyère

и другие.

Frontiers in Human Neuroscience, Год журнала: 2018, Номер 11

Опубликована: Янв. 8, 2018

Even though research in the field of functional near-infrared spectroscopy (fNIRS) is being conducted for more than 20 years, a consensus on signal processing methods still lacking. A significant knowledge gap exists between established researchers and those newly entering field. One major issue regularly observed publications from new this neglect possible contamination by hemodynamic changes unrelated to neurovascular coupling (i.e. scalp blood flow systemic flow). This might be due fact that these use with tools provided manufacturers their devices without an advanced understanding performed steps. The aim present study was investigate how different approaches (including excluding partially correct contamination) affect results typical neuroimaging fNIRS. In particular, we evaluated one standard method commercial company compared it three customized investigated influence chosen statistical outcome clinical data set (task-evoked motor cortex activity). No short-channels were used therefore two types multi-channel corrections based multiple long-channels applied. choice had considerable study. While ignored fNIRS signals task-evoked physiological noise yielded several responses over whole head, significance findings disappeared when accounting using regression. We conclude that, lacking possibility applying multi-distance measurements, adoption confounding effect, yield realistic results. Furthermore, do not recommend as having every step.

Язык: Английский

Процитировано

141

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

и другие.

Gait & Posture, Год журнала: 2020, Номер 82, С. 254 - 265

Опубликована: Сен. 18, 2020

Язык: Английский

Процитировано

112