Functional Near-Infrared Spectroscopy as a noninvasive neuroimaging technique to measure cerebral perfusion in microgravity DOI
Bader Shirah, Peter zu Eulenburg, Christopher E. Mason

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 83 - 99

Published: Nov. 1, 2024

Language: Английский

A free association semantic task for fNIRS-based perinatal depression assessment DOI Creative Commons
Danni Chen,

Xuanjin Yang,

Yuanyuan Liang

et al.

Frontiers in Neurology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 15, 2025

Perinatal depression (PD) is a highly prevalent psychological disorder that has detrimental effect on infant and maternal physical mental health, but effective objective assessment of PD still insufficient. In recent years, the functional near-infrared spectroscopy (fNIRS) been acknowledged as an non-invasive tool for clinical depression. This study proposed free association semantic task (FAST) paradigm fNIRS-based PD. To better address emotion characteristics PD, participants are required to generate dynamic concept chain based positive, negative or neutral seed words, while 48-channel fNIRS recordings over frontal bilateral temporal regions. Results from twenty-two late-pregnant women revealed that, oxyhemoglobin (oxy-Hb) changes during FAST with positive words region were correlated severity, which was different correlation patterns in word classical verbal fluency test (VFT). Furthermore, distinct also observed manifested channels corresponding right dorsolateral prefrontal cortex (DLPFC) inferior gyrus (IFG), respectively. Moreover, regression analyses showed can well explain severity Our findings suggest promising approach assessment.

Language: Английский

Citations

0
Somatosensory integration in robot-assisted motor restoration post-stroke DOI Creative Commons
Legeng Lin, Wanyi Qing, Zijian Zheng

et al.

Frontiers in Aging Neuroscience, Journal Year: 2024, Volume and Issue: 16

Published: Nov. 6, 2024

Disruption of somatosensorimotor integration (SMI) after stroke is a significant obstacle to achieving precise motor restoration. Integrating somatosensory input into relearning reconstruct SMI critical during rehabilitation. However, current robotic approaches focus primarily on control repetitive movements and rarely effectively engage modulate responses, which impedes rehabilitation that relies SMI. This article discusses how regulate feedback from target muscles through peripheral central neuromodulatory stimulations based quantitatively measured responses in real time robot-assisted stroke. Further development standardized recording protocols diagnostic databases quantitative neuroimaging features response post-stroke for real-time detection, optimized combinations with robot assistance nervous neuromodulation are needed enhance the recruitment targeted ascending neuromuscular pathways training, aiming achieve muscle integrated functions, thereby improving long-term neurorehabilitation

Language: Английский

Citations

1
Multi-method analysis of emotional and affective states DOI
Adrian Luckiewicz, Bogdan Ruszczak, Mariusz Pelc

et al.

Published: June 24, 2024

Language: Английский

Citations

0
State-of-the-Art fNIRS for Clinical Scenarios: A Brief Review DOI

Samandari Ali Mirdan,

Afonin Andrey Nikolaevich

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 177 - 191

Published: Jan. 1, 2024

Language: Английский

Citations

0
Functional Near-Infrared Spectroscopy as a noninvasive neuroimaging technique to measure cerebral perfusion in microgravity DOI
Bader Shirah, Peter zu Eulenburg, Christopher E. Mason

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 83 - 99

Published: Nov. 1, 2024

Language: Английский

Citations

0