scholarly journals Evaluating motion processing algorithms for use with functional near-infrared spectroscopy data from young children

2018 ◽  
Vol 5 (02) ◽  
pp. 1 ◽  
Author(s):  
Lourdes M. Delgado Reyes ◽  
Kevin Bohache ◽  
Sobanawartiny Wijeakumar ◽  
John P. Spencer
Keyword(s):  
Infrared Spectroscopy ◽  
Young Children ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Motion Processing ◽  
Spectroscopy Data ◽  
Functional Near Infrared Spectroscopy ◽  
Processing Algorithms

scholarly journals Comparison of motion correction techniques applied to functional near-infrared spectroscopy data from children

2015 ◽  
Vol 20 (12) ◽  
pp. 126003 ◽  
Author(s):  
Xiao-Su Hu ◽  
Maria M. Arredondo ◽  
Megan Gomba ◽  
Nicole Confer ◽  
Alexandre F. DaSilva ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Motion Correction ◽  
Near Infrared ◽  
Spectroscopy Data ◽  
Functional Near Infrared Spectroscopy

scholarly journals Comparison of motion correction techniques applied to functional near-infrared spectroscopy data from children (Erratum)

2020 ◽  
Vol 25 (05) ◽  
pp. 1
Author(s):  
Xiao-Su Hu ◽  
Maria M. Arredondo ◽  
Megan Gomba ◽  
Nicole Confer ◽  
Alexandre F. DaSilva ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Motion Correction ◽  
Near Infrared ◽  
Spectroscopy Data ◽  
Functional Near Infrared Spectroscopy

scholarly journals No Difference in the Neural Underpinnings of Number and Letter Copying in Children: Bayesian Analysis of Functional Near‐Infrared Spectroscopy Data

2019 ◽  
Vol 13 (4) ◽  
pp. 313-325
Author(s):  
Mojtaba Soltanlou ◽  
Andra Coldea ◽  
Christina Artemenko ◽  
Ann‐Christine Ehlis ◽  
Andreas J. Fallgatter ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Bayesian Analysis ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Spectroscopy Data ◽  
Functional Near Infrared Spectroscopy ◽  
Neural Underpinnings

Selective Cortical Mapping of Biological Motion Processing in Young Infants

2011 ◽  
Vol 23 (9) ◽  
pp. 2521-2532 ◽  
Author(s):  
Sarah Lloyd-Fox ◽  
Anna Blasi ◽  
Nick Everdell ◽  
Clare E. Elwell ◽  
Mark H. Johnson
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Biological Motion ◽  
Near Infrared ◽  
Cortical Activation ◽  
Cortical Mapping ◽  
Motion Processing ◽  
Functional Near Infrared Spectroscopy ◽  
Young Infants ◽  
Manual Movements

How specialized is the infant brain for perceiving the facial and manual movements displayed by others? Although there is evidence for a network of regions that process biological motion in adults—including individuated responses to the perception of differing facial and manual movements—how this cortical specialization develops remains unknown. We used functional near-infrared spectroscopy [Lloyd-Fox, S., Blasi, A., & Elwell, C. Illuminating the developing brain: The past, present and future of functional near-infrared spectroscopy. Neuroscience and Biobehavioral Reviews, 34, 269–284, 2010] to investigate the ability of 5-month-old infants to process differing biological movements. Infants watched videos of adult actors moving their hands, their mouth, or their eyes, all in contrast to nonbiological mechanical movements, while hemodynamic responses were recorded over the their frontal and temporal cortices. We observed different regions of the frontal and temporal cortex that responded to these biological movements and different patterns of cortical activation according to the type of movement watched. From an early age, our brains selectively respond to biologically relevant movements, and further, selective patterns of regional specification to different cues occur within what may correspond to a developing “social brain” network. These findings illuminate hitherto undocumented maps of selective cortical activation to biological motion processing in the early postnatal development of the human brain.

scholarly journals FC-NIRS: A Functional Connectivity Analysis Tool for Near-Infrared Spectroscopy Data

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Jingping Xu ◽  
Xiangyu Liu ◽  
Jinrui Zhang ◽  
Zhen Li ◽  
Xindi Wang ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Functional Connectivity ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Analysis Tool ◽  
Spectroscopy Data ◽  
Connectivity Analysis ◽  
Functional Near Infrared Spectroscopy ◽  
Functional Connectome ◽  
Functional Connectivity Analysis

Functional near-infrared spectroscopy (fNIRS), a promising noninvasive imaging technique, has recently become an increasingly popular tool in resting-state brain functional connectivity (FC) studies. However, the corresponding software packages for FC analysis are still lacking. To facilitate fNIRS-based human functional connectome studies, we developed a MATLAB software package called “functional connectivity analysis tool for near-infrared spectroscopy data” (FC-NIRS). This package includes the main functions of fNIRS data preprocessing, quality control, FC calculation, and network analysis. Because this software has a friendly graphical user interface (GUI), FC-NIRS allows researchers to perform data analysis in an easy, flexible, and quick way. Furthermore, FC-NIRS can accomplish batch processing during data processing and analysis, thereby greatly reducing the time cost of addressing a large number of datasets. Extensive experimental results using real human brain imaging confirm the viability of the toolbox. This novel toolbox is expected to substantially facilitate fNIRS-data-based human functional connectome studies.

scholarly journals Methodology for high-yield acquisition of functional near-infrared spectroscopy data from alert, upright infants

2016 ◽  
Vol 3 (3) ◽  
pp. 031415
Author(s):  
James R. Goodwin ◽  
Ashley E. Cannaday ◽  
Holly G. Palmeri ◽  
Aldo Di Costanzo ◽  
Lauren L. Emberson ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
High Yield ◽  
Spectroscopy Data ◽  
Functional Near Infrared Spectroscopy
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