Prefrontal haemodynamics based classification of inter-individual working memory difference

This Letter illustrates prefrontal haemodynamics as a neurovascular basis of inter-personal working memory differences. A functional near-infrared spectroscopy with sampling frequency ∼2 Hz is used to record the blood oxyhaemoglobin and deoxyhaemoglobin signals from 19 subjects engaged in working me...

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Vydáno v:	Electronics letters Ročník 56; číslo 25; s. 1406 - 1408
Hlavní autor:	De, A
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 10.12.2020
Témata:	blood blood oxyhaemoglobin classification accuracy classification approach deoxyhaemoglobin signals diffused voxel plots dorsolateral prefrontal cortex ensemble classifiers feature extraction foreground signals functional near‐infrared spectroscopy haemodynamics infrared spectra interindividual performance difference interindividual working memory difference interpersonal working memory differences learning (artificial intelligence) linear discriminant analysis neurophysiology neurovascular basis orbitofrontal cortex performance index prefrontal haemodynamics based classification proteins sampling frequency signal classification Special Issue: Current Trends in Cognitive Science and Brain Computing Research and Applications spontaneous haemodynamic activity stream‐dependent model‐based feature construction‐classification stream‐independent model supervised learning‐based linear discriminant analysis symbol‐meaning association learning task‐evoked responses working memory task task-evoked responses ensemble classifiers interpersonal working memory differences spontaneous haemodynamic activity sampling frequency blood oxyhaemoglobin classification accuracy dorsolateral prefrontal cortex classification approach deoxyhaemoglobin signals stream-independent model feature extraction proteins orbitofrontal cortex performance index learning (artificial intelligence) linear discriminant analysis interindividual performance difference supervised learning-based linear discriminant analysis symbol-meaning association learning blood signal classification neurovascular basis prefrontal haemodynamics based classification working memory task stream-dependent model-based feature construction-classification functional near-infrared spectroscopy infrared spectra interindividual working memory difference diffused voxel plots foreground signals neurophysiology haemodynamics
ISSN:	0013-5194, 1350-911X, 1350-911X
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Shrnutí:	This Letter illustrates prefrontal haemodynamics as a neurovascular basis of inter-personal working memory differences. A functional near-infrared spectroscopy with sampling frequency ∼2 Hz is used to record the blood oxyhaemoglobin and deoxyhaemoglobin signals from 19 subjects engaged in working memory task of encoding and retrieval of ten symbol-meaning association learning. The individual difference in working memory performance is classified by supervised learning-based linear discriminant analysis and ensemble classifiers. Prior to the classification approach, individual performance is labelled as high, moderate and low on the basis of the performance index. The spontaneous haemodynamic activity and task-evoked responses are marked as background and foreground signals, respectively, which are scaled by means of stream-independent and stream-dependent models. The classifiers' performance shows that the stream-dependent model-based feature construction-classification improves classification accuracy to a major extent compared to the stream-independent model and no gain model. To understand the neurovascular basis of the inter-individual performance difference, diffused voxel plots are constructed. The voxel plots showed that concurrent activation of orbitofrontal and dorsolateral prefrontal cortex could have a possible association with persons' higher working memory performance.
Bibliografie:	A. De: Also with Advanced Technology Development Centre, Indian Institute of Technology, Kharagpur, West Bengal 721302, India
ISSN:	0013-5194 1350-911X 1350-911X
DOI:	10.1049/el.2020.2696