Clinical applications of EEG power spectra aperiodic component analysis: A mini-review

SM Pani, L Saba, M Fraschini - Clinical Neurophysiology, 2022 - Elsevier
Objective The present mini-review summarizes recent clinical findings related to the analysis
of the aperiodic component of EEG (electroencephalographic) power spectra, making them …

An overview of brain fingerprint identification based on various neuroimaging technologies

S Zhang, W Yang, H Mou, Z Pei, F Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As a novel category of biometric features, research on brain fingerprints has become a hot
topic in neuroscience, not only for its reliable performance on individual identification but …

EEG fingerprinting: Subject-specific signature based on the aperiodic component of power spectrum

M Demuru, M Fraschini - Computers in Biology and Medicine, 2020 - Elsevier
During the last few years, there has been growing interest in the effects induced by
individual variability on activation patterns and brain connectivity. The practical implications …

Wearable system based on ultra-thin Parylene C tattoo electrodes for EEG recording

A Mascia, R Collu, A Spanu, M Fraschini, M Barbaro… - Sensors, 2023 - mdpi.com
In an increasingly interconnected world, where electronic devices permeate every aspect of
our lives, wearable systems aimed at monitoring physiological signals are rapidly taking …

The Open Brain Consent: Informing research participants and obtaining consent to share brain imaging data

E Bannier, G Barker, V Borghesani… - Human brain …, 2021 - Wiley Online Library
Having the means to share research data openly is essential to modern science. For human
research, a key aspect in this endeavor is obtaining consent from participants, not just to …

On the characterization of cognitive tasks using activity-specific short-lived synchronization between electroencephalography channels

BO Olcay, M Özgören, B Karaçalı - Neural Networks, 2021 - Elsevier
Accurate characterization of brain activity during a cognitive task is challenging due to the
dynamically changing and the complex nature of the brain. The majority of the proposed …

Multi-layer analysis of multi-frequency brain networks as a new tool to study EEG topological organization

MG Puxeddu, M Petti, L Astolfi - 2021 43rd Annual International …, 2021 - ieeexplore.ieee.org
Oscillatory activity rising from the interaction among neurons is widely observed in the brain
at different scales and is thought to encode distinctive properties of the neural processing …

[HTML][HTML] 基于脑电信号的身份特征提取方法研究综述

文潇钟, 兴伟安, 洋狄, 力新张, 东明 - … Wu Yi Xue Gong Cheng Xue …, 2021 - ncbi.nlm.nih.gov
生物识别技术在当今信息社会中发挥着重要作用。 脑电信号( EEG) 作为一种新型的生物特征,
在通用性、 持久性和安全性等方面具有独特优势, 基于脑电信号个体差异性的身份识别研究 …

Review on identity feature extraction methods based on electroencephalogram signals

W Zhong, X An, Y Di, L Zhang, D Ming - … wu yi xue Gong Cheng xue …, 2021 - europepmc.org
生物识别技术在当今信息社会中发挥着重要作用. 脑电信号 (EEG) 作为一种新型的生物特征,
在通用性, 持久性和安全性等方面具有独特优势, 基于脑电信号个体差异性的身份识别研究目前 …

Frontoparietal network and neuropsychological measures in typically developing children

I Solis, J Janowich, F Candelaria-Cook, W Collishaw… - Neuropsychologia, 2021 - Elsevier
Resting-state activity has been used to gain a broader understanding of typical and aberrant
developmental changes. However, the developmental trajectory of resting-state activity in …