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fNIRS measurements in migraine
SPIE Proceedings, 2005Migraine is a complex chronic neurovascular disorder in which the interictal changes in neuronal excitability and vascular reactivity in the cerebral cortex were detected. The extent and direction of the changes in cerebral blood flow that affect cerebral hemodynamics during attacks, however, are still a matter of debate. This may have been due to
Bolay, HAYRUNNİSA BOLAY +5 more
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Enhancing fNIRS Analysis Using EEG Rhythmic Signatures: An EEG-Informed fNIRS Analysis Study
IEEE Transactions on Biomedical Engineering, 2020Neurovascular coupling represents the relationship between changes in neuronal activity and cerebral hemodynamics. Concurrent Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) recording and integration analysis has emerged as a promising multi-modal neuroimaging approach to study the neurovascular coupling as it provides ...
Rihui Li +4 more
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fNIRS response during walking — Artefact or cortical activity? A systematic review [PDF]
Neuroscience and Biobehavioral Reviews, 2017 This systematic review aims to (i) evaluate functional near infrared spectroscopy (fNIRS) walking study design in young adults, older adults and people with Parkinson’s disease (PD); (ii) examine signal processing techniques to reduce artefacts and ...
Samuel Stuart +2 more
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fNIRS-based online deception decoding
Journal of Neural Engineering, 2012Deception involves complex neural processes in the brain. Different techniques have been used to study and understand brain mechanisms during deception. Moreover, efforts have been made to develop schemes that can detect and differentiate deception and truth-telling.
Hu, X.-S., Hong, K.-S., Ge, S.S.
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Social hyperscanning with fNIRS
Gesture, 2020Abstract The interest of neuroscience has been aimed at the investigation of the neural bases underlying gestural communication. This research explored the intra- and inter-brain connectivity between encoder and decoder. Specifically, adopting a “hyperscanning paradigm” with the functional Near-infrared Spectroscopy (fNIRS ...
Michela Balconi +2 more
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Proceedings of the AAAI Conference on Artificial Intelligence, 2021
Brain activation can reflect semantic information elicited by natural words and concepts. Increasing research has been conducted on decoding such neural activation patterns using representational semantic models. However, prior work decoding semantic meaning from neurophysiological responses has been largely limited to ECoG, fMRI, MEG, and EEG ...
Lu Cao +4 more
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Brain activation can reflect semantic information elicited by natural words and concepts. Increasing research has been conducted on decoding such neural activation patterns using representational semantic models. However, prior work decoding semantic meaning from neurophysiological responses has been largely limited to ECoG, fMRI, MEG, and EEG ...
Lu Cao +4 more
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2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), 2013
Blood oxygenation level dependent (BOLD) functional magnetic resonance (fMRI) imaging and functional near infrared spectroscopy (fNIRS) have been widely used to investigate hemodynamic responses to functional stimulation in the human brain. In the present study, we propose a time dependent multi layered Monte Carlo (TD-MCML) simulation approach for ...
Aysegul Turner +2 more
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Blood oxygenation level dependent (BOLD) functional magnetic resonance (fMRI) imaging and functional near infrared spectroscopy (fNIRS) have been widely used to investigate hemodynamic responses to functional stimulation in the human brain. In the present study, we propose a time dependent multi layered Monte Carlo (TD-MCML) simulation approach for ...
Aysegul Turner +2 more
openaire +1 more source