Functional interferometric diffusing wave spectroscopy of the human brain

W Zhou, O Kholiqov, J Zhu, M Zhao… - Science …, 2021 - science.org
Cerebral blood flow (CBF) is essential for brain function, and CBF-related signals can inform
us about brain activity. Yet currently, high-end medical instrumentation is needed to perform …

[HTML][HTML] Conditional-GAN based data augmentation for deep learning task classifier improvement using fNIRS data

SD Wickramaratne, MS Mahmud - Frontiers in big Data, 2021 - frontiersin.org
Functional near-infrared spectroscopy (fNIRS) is a neuroimaging technique used for
mapping the functioning human cortex. fNIRS can be widely used in population studies due …

[HTML][HTML] Demographic reporting and phenotypic exclusion in fNIRS

J Kwasa, HM Peterson, K Karrobi, L Jones… - Frontiers in …, 2023 - frontiersin.org
Functional near-infrared spectroscopy (fNIRS) promises to be a leading non-invasive
neuroimaging method due to its portability and low cost. However, concerns are rising over …

Functional photoacoustic microscopy of hemodynamics: a review

C Liu, L Wang - Biomedical Engineering Letters, 2022 - Springer
Functional blood imaging can reflect tissue metabolism and organ viability, which is
important for life science and biomedical studies. However, conventional imaging modalities …

NIRS measures in pain and analgesia: fundamentals, features, and function

KD Karunakaran, K Peng, D Berry, S Green… - Neuroscience & …, 2021 - Elsevier
Current pain assessment techniques based only on clinical evaluation and self-reports are
not objective and may lead to inadequate treatment. Having a functional biomarker will add …

Current opinions on the present and future use of functional near-infrared spectroscopy in psychiatry

R Li, H Hosseini, M Saggar, SC Balters… - …, 2023 - spiedigitallibrary.org
Functional near-infrared spectroscopy (fNIRS) is an optical imaging technique for assessing
human brain activity by noninvasively measuring the fluctuation of cerebral oxygenated-and …

A Hybrid GCN and Filter‐Based Framework for Channel and Feature Selection: An fNIRS‐BCI Study

A Zafar, K Dad Kallu, M Atif Yaqub… - … Journal of Intelligent …, 2023 - Wiley Online Library
In this study, a channel and feature selection methodology is devised for brain‐computer
interface (BCI) applications using functional near‐infrared spectroscopy (fNIRS). A graph …

[HTML][HTML] Load-dependent relationships between frontal fNIRS activity and performance: A data-driven PLS approach

KL Meidenbauer, KW Choe, C Cardenas-Iniguez… - NeuroImage, 2021 - Elsevier
Neuroimaging research frequently demonstrates load-dependent activation in prefrontal and
parietal cortex during working memory tasks such as the N-back. Most of this work has been …

[HTML][HTML] Interdisciplinary views of fNIRS: Current advancements, equity challenges, and an agenda for future needs of a diverse fNIRS research community

EJ Doherty, CA Spencer, J Burnison, M Čeko… - Frontiers in Integrative …, 2023 - frontiersin.org
Functional Near-Infrared Spectroscopy (fNIRS) is an innovative and promising
neuroimaging modality for studying brain activity in real-world environments. While fNIRS …

[HTML][HTML] Diffuse correlation spectroscopy measurements of blood flow using 1064 nm light

SA Carp, D Tamborini, D Mazumder… - Journal of …, 2020 - spiedigitallibrary.org
Significance: Diffuse correlation spectroscopy (DCS) is an established optical modality that
enables noninvasive measurements of blood flow in deep tissue by quantifying the temporal …