Functional connectivity in the first year of life in infants at-risk for autism: a preliminary near-infrared spectroscopy study DOI Creative Commons
Brandon Keehn, J. Wagner, Helen Tager‐Flusberg

et al.

Frontiers in Human Neuroscience, Journal Year: 2013, Volume and Issue: 7

Published: Jan. 1, 2013

Autism spectrum disorder (ASD) has been called a "developmental disconnection syndrome," however the majority of research examining connectivity in ASD conducted exclusively with older children and adults. Yet, prior suggests that perturbations neurodevelopmental trajectories begin as early first year life. Prospective longitudinal studies infants at risk for may provide window into emergence these aberrant patterns connectivity. The current study employed functional near-infrared spectroscopy (NIRS) order to examine development intra- inter-hemispheric high- low-risk across life.NIRS data were collected from 27 high autism (HRA) 37 comparison (LRC) who contributed total 116 sets 3-, 6-, 9-, 12-months. At each time point, HRA LRC groups matched on age, sex, head circumference, Mullen Scales Early Learning scores. Regions interest (ROI) selected anterior posterior locations hemisphere. average course ROI was calculated correlations pair computed. Differences examined cross-sectional manner.At 3-months, showed increased overall compared infants. This result pairs. No significant differences found between 6- 9-months. However, by 12-months, decreased relative infants.Our preliminary results suggest atypical exist within life infants, providing support growing body evidence be potential endophenotype ASD.

Language: Английский

A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application DOI
Marco Ferrari, Valentina Quaresima

NeuroImage, Journal Year: 2012, Volume and Issue: 63(2), P. 921 - 935

Published: March 28, 2012

Language: Английский

Citations

1936

Imaging brain development: The adolescent brain DOI
Sarah‐Jayne Blakemore

NeuroImage, Journal Year: 2011, Volume and Issue: 61(2), P. 397 - 406

Published: Dec. 9, 2011

Language: Английский

Citations

594

Time domain functional NIRS imaging for human brain mapping DOI Creative Commons
Alessandro Torricelli, Davide Contini, Antonio Pifferi

et al.

NeuroImage, Journal Year: 2013, Volume and Issue: 85, P. 28 - 50

Published: June 5, 2013

This review is aimed at presenting the state-of-the-art of time domain (TD) functional near-infrared spectroscopy (fNIRS). We first introduce physical principles, basics modeling and data analysis. Basic instrumentation components (light sources, detection techniques, delivery collection systems) a TD fNIRS system are described. A survey past, existing next generation systems used for research clinical studies presented. Performance assessment standardization issues also discussed. Main strengths weakness highlighted, in comparison with continuous wave (CW) fNIRS. Issues like quantification hemodynamic response, penetration depth, depth selectivity, spatial resolution contrast-to-noise ratio critically examined, help experimental results performed on phantoms or vivo. Finally we give an account technological developments that would pave way broader use neuroimaging community.

Language: Английский

Citations

435

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

et al.

Journal of Clinical Medicine, Journal Year: 2018, Volume and Issue: 7(12), P. 466 - 466

Published: Nov. 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

Language: Английский

Citations

361

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

et al.

Neurophotonics, Journal Year: 2021, Volume and Issue: 8(01)

Published: Jan. 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.

Language: Английский

Citations

360

Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface DOI Creative Commons
Muhammad Jawad Khan,

Melissa Jiyoun Hong,

Keum‐Shik Hong

et al.

Frontiers in Human Neuroscience, Journal Year: 2014, Volume and Issue: 8

Published: April 28, 2014

The hybrid brain-computer interface (BCI)'s multimodal technology enables precision brain-signal classification that can be used in the formulation of control commands. In present study, an experimental near-infrared spectroscopy-electroencephalography (NIRS-EEG) technique was to extract and decode four different types brain signals. NIRS setup positioned over prefrontal region, EEG left right motor cortex regions. Twelve subjects participating experiment were shown direction symbols, namely, "forward," "backward," "left," "right." commands for forward backward movement estimated by performing arithmetic mental tasks related oxy-hemoglobin (HbO) changes. directions associated with hand tapping, respectively. high accuracies achieved showed signals accurately using NIRS-EEG technology.

Language: Английский

Citations

274

A brief review on the use of functional near-infrared spectroscopy (fNIRS) for language imaging studies in human newborns and adults DOI
Valentina Quaresima,

Silvia Bisconti,

Marco Ferrari

et al.

Brain and Language, Journal Year: 2011, Volume and Issue: 121(2), P. 79 - 89

Published: April 21, 2011

Language: Английский

Citations

264

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

244

Modality-Level Obstacles and Initiatives to Improve Representation in Fetal, Infant, and Toddler Neuroimaging Research Samples DOI Creative Commons
Emma T. Margolis, Paige M. Nelson, Abigail Fiske

et al.

Developmental Cognitive Neuroscience, Journal Year: 2025, Volume and Issue: 72, P. 101505 - 101505

Published: Jan. 5, 2025

Fetal, infant, and toddler (FIT) neuroimaging researchers study early brain development to gain insights into neurodevelopmental processes identify markers of neurobiological vulnerabilities target for intervention. However, the field has historically excluded people from global majority countries marginalized communities in FIT research. Inclusive representative samples are essential generalizing findings across modalities, such as magnetic resonance imaging, magnetoencephalography, electroencephalography, functional near-infrared spectroscopy, cranial ultrasonography. These techniques pose unique overlapping challenges equitable representation research through sampling bias, technical constraints, limited accessibility, insufficient resources. The present article adds conversation around need improve inclusivity by highlighting modality-specific historical current obstacles ongoing initiatives. We conclude discussing tangible solutions that transcend individual ultimately providing recommendations promote neuroscience.

Language: Английский

Citations

4

Neural mirroring systems: Exploring the EEG mu rhythm in human infancy DOI
Peter J. Marshall, Andrew N. Meltzoff

Developmental Cognitive Neuroscience, Journal Year: 2010, Volume and Issue: 1(2), P. 110 - 123

Published: Sept. 30, 2010

Language: Английский

Citations

228