The present and future use of functional near‐infrared spectroscopy (fNIRS) for cognitive neuroscience

P Pinti, I Tachtsidis, A Hamilton, J Hirsch… - Annals of the new …, 2020 - Wiley Online Library
The past few decades have seen a rapid increase in the use of functional near‐infrared
spectroscopy (fNIRS) in cognitive neuroscience. This fast growth is due to the several …

Applications of functional near-infrared spectroscopy (fNIRS) neuroimaging in exercise–cognition science: a systematic, methodology-focused review

F Herold, P Wiegel, F Scholkmann… - Journal of clinical medicine, 2018 - mdpi.com
For cognitive processes to function well, it is essential that the brain is optimally supplied
with oxygen and blood. In recent years, evidence has emerged suggesting that cerebral …

A consensus guide to using functional near-infrared spectroscopy in posture and gait research

JC Menant, I Maidan, L Alcock, E Al-Yahya, A Cerasa… - Gait & posture, 2020 - Elsevier
Background Functional near-infrared spectroscopy (fNIRS) is increasingly used in the field
of posture and gait to investigate patterns of cortical brain activation while people move …

Evidence for exercise-related plasticity in functional and structural neural network connectivity

J Won, DD Callow, GS Pena, MA Gogniat… - Neuroscience & …, 2021 - Elsevier
The number of studies investigating exercise and cardiorespiratory fitness (CRF)-related
changes in the functional and structural organization of brain networks continues to rise …

[HTML][HTML] Dance on the brain: enhancing intra-and inter-brain synchrony

JC Basso, MK Satyal, R Rugh - Frontiers in human neuroscience, 2021 - frontiersin.org
Dance has traditionally been viewed from a Eurocentric perspective as a mode of self-
expression that involves the human body moving through space, performed for the purposes …

Neuroimaging modalities in Alzheimer's disease: diagnosis and clinical features

JH Kim, M Jeong, WR Stiles, HS Choi - International journal of molecular …, 2022 - mdpi.com
Alzheimer's disease (AD) is a neurodegenerative disease causing progressive cognitive
decline until eventual death. AD affects millions of individuals worldwide in the absence of …

An empirical study of different machine learning techniques for brain tumor classification and subsequent segmentation using hybrid texture feature

B Jena, GK Nayak, S Saxena - Machine Vision and Applications, 2022 - Springer
Brain tumor classification and segmentation for different weighted MRIs are among the most
tedious tasks for many researchers due to the high variability of tumor tissues based on …

A mini-review on functional near-infrared spectroscopy (fNIRS): where do we stand, and where should we go?

V Quaresima, M Ferrari - Photonics, 2019 - mdpi.com
This mini-review is aimed at briefly summarizing the present status of functional near-
infrared spectroscopy (fNIRS) and predicting where the technique should go in the next …

fMRI-based validation of continuous-wave fNIRS of supplementary motor area activation during motor execution and motor imagery

F Klein, S Debener, K Witt, C Kranczioch - Scientific reports, 2022 - nature.com
Compared to functional magnetic resonance imaging (fMRI), functional near infrared
spectroscopy (fNIRS) has several advantages that make it particularly interesting for …

Multimodal assessment of the spatial correspondence between fNIRS and fMRI hemodynamic responses in motor tasks

J Pereira, B Direito, M Lührs, M Castelo-Branco… - Scientific Reports, 2023 - nature.com
Functional near-infrared spectroscopy (fNIRS) provides a cost-efficient and portable
alternative to functional magnetic resonance imaging (fMRI) for assessing cortical activity …