Social cognitive network neuroscience

AC Krendl, RF Betzel - Social cognitive and affective …, 2022 - academic.oup.com
Over the past three decades, research from the field of social neuroscience has identified a
constellation of brain regions that relate to social cognition. Although these studies have …

Applications of resting-state fNIRS in the developing brain: a review from the connectome perspective

Z Hu, G Liu, Q Dong, H Niu - Frontiers in neuroscience, 2020 - frontiersin.org
Early brain development from infancy through childhood is closely related to the
development of cognition and behavior in later life. Human brain connectome is a novel …

Sensitivity of fNIRS to cognitive state and load

FA Fishburn, ME Norr, AV Medvedev… - Frontiers in human …, 2014 - frontiersin.org
Functional near-infrared spectroscopy (fNIRS) is an emerging low-cost noninvasive
neuroimaging technique that measures cortical bloodflow. While fNIRS has gained interest …

Test-retest reliability of fNIRS in resting-state cortical activity and brain network assessment in stroke patients

G Xu, C Huo, J Yin, Y Zhong, G Sun, Y Fan… - Biomedical Optics …, 2023 - opg.optica.org
Resting-state functional near infrared spectroscopy (fNIRS) scanning has attracted
considerable attention in stroke rehabilitation research in recent years. The aim of this study …

A topological criterion for filtering information in complex brain networks

F De Vico Fallani, V Latora… - PLoS computational …, 2017 - journals.plos.org
In many biological systems, the network of interactions between the elements can only be
inferred from experimental measurements. In neuroscience, non-invasive imaging tools are …

Effects of systemic physiology on mapping resting-state networks using functional near-infrared spectroscopy

A Abdalmalak, SL Novi, K Kazazian, L Norton… - Frontiers in …, 2022 - frontiersin.org
Resting-state functional connectivity (rsFC) has gained popularity mainly due to its simplicity
and potential for providing insights into various brain disorders. In this vein, functional near …

Disrupted functional brain connectivity networks in children with attention-deficit/hyperactivity disorder: evidence from resting-state functional near-infrared …

M Wang, Z Hu, L Liu, H Li, Q Qian, H Niu - Neurophotonics, 2020 - spiedigitallibrary.org
Significance: Attention-deficit/hyperactivity disorder (ADHD) is the most common
psychological disease in childhood. Currently, widely used neuroimaging techniques …

Integration of spatial information increases reproducibility in functional near-infrared spectroscopy

SL Novi, EJ Forero, JAI Rubianes Silva… - Frontiers in …, 2020 - frontiersin.org
As functional near-infrared spectroscopy (fNIRS) is developed as a neuroimaging technique
and becomes an option to study a variety of populations and tasks, the reproducibility of the …

Decreased resting-state brain signal complexity in patients with mild cognitive impairment and Alzheimer's disease: a multi-scale entropy analysis

X Li, Z Zhu, W Zhao, Y Sun, D Wen, Y Xie… - Biomedical optics …, 2018 - opg.optica.org
Multiscale entropy (MSE) analysis is a novel entropy-based analysis method for quantifying
the complexity of dynamic neural signals and physiological systems across multiple …

[HTML][HTML] Reliability and similarity of resting state functional connectivity networks imaged using wearable, high-density diffuse optical tomography in the home setting

J Uchitel, B Blanco, E Vidal-Rosas, L Collins-Jones… - NeuroImage, 2022 - Elsevier
Background When characterizing the brain's resting state functional connectivity (RSFC)
networks, demonstrating networks' similarity across sessions and reliability across different …