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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 of individual variability is of basic relevance for both…

Signal Processing · Electrical Eng. & Systems 2020-01-29 Matteo Demuru , Matteo Fraschini

Music is a complex socio-cultural construct, which fascinates researchers in diverse fields, as well as the general public. Understanding the historical development of music may help us understand perceptual and cognition, while also…

Physics and Society · Physics 2023-08-08 Alfredo González-Espinoza , Joshua B. Plotkin

The scaling property of the brain dynamics is studied based on the zero-crossing of the local electroencephalographic (EEG) recording taken from healthy young adults in eyes closed and eyes open. Evidence of coupling between the EEG fractal…

Biological Physics · Physics 2007-05-23 Der Chyan Lin , Asif Sharif , Hon Kwan

Noninvasive EEG (electroencephalography) based auditory attention detection could be useful for improved hearing aids in the future. This work is a novel attempt to investigate the feasibility of online modulation of sound sources by…

Neurons and Cognition · Quantitative Biology 2017-11-29 Marzieh Haghighi , Mohammad Moghadamfalahi , Murat Akcakaya , Deniz Erdogmus

Electroencephalogram (EEG) provides noninvasive measures of brain activity and is found to be valuable for diagnosis of some chronic disorders. Specifically, pre-treatment EEG signals in alpha and theta frequency bands have demonstrated…

Applications · Statistics 2023-05-24 Bin Yang , Xingche Guo , Ji Meng Loh , Qinxia Wang , Yuanjia Wang

Recordings of electrical brain activity carry information about a person's cognitive health. For recording EEG signals, a very common setting is for a subject to be at rest with its eyes closed. Analysis of these recordings often involve a…

Neurons and Cognition · Quantitative Biology 2018-12-18 Sebastian Mathias Keller , Maxim Samarin , Antonia Meyer , Vitalii Kosak , Ute Gschwandtner , Peter Fuhr , Volker Roth

Electroencephalography (EEG) plays a vital role in recording brain activities and is integral to the development of brain-computer interface (BCI) technologies. However, the limited availability and high variability of EEG signals present…

Signal Processing · Electrical Eng. & Systems 2024-02-16 Joshua Park , Priyanshu Mahey , Ore Adeniyi

Music listening involves many simultaneous neural operations, including auditory processing, working memory, temporal sequencing, pitch tracking, anticipation, reward, and emotion, and thus, a full investigation of music cognition would…

Neurons and Cognition · Quantitative Biology 2022-01-19 Melia E. Bonomo , Anthony K. Brandt , J. Todd Frazier , Christof Karmonik

Slow-paced breathing is a promising intervention for reducing anxiety and enhancing emotional regulation through its effects on autonomic and central nervous system function. This study examined the neurophysiological and subjective effects…

Neurons and Cognition · Quantitative Biology 2025-07-15 Eliezer Yahalom , Neta Maimon , Lior Molcho , Talya Zeimer , Ofir Chibotero , Nathan Intrator

Fatigue detection is of paramount importance in enhancing safety, productivity, and well-being across diverse domains, including transportation, healthcare, and industry. This scientific paper presents a comprehensive investigation into the…

Signal Processing · Electrical Eng. & Systems 2024-02-16 Ildar Rakhmatulin

Expressive variations of tempo and dynamics are an important aspect of music performances, involving a variety of underlying factors. Previous work has showed a relation between such expressive variations (in particular expressive tempo)…

Sound · Computer Science 2018-07-04 Carlos Cancino-Chacón , Maarten Grachten

MEG and EEG are noninvasive functional neuroimaging techniques that provide recordings of brain activity with high temporal resolution, and thus provide a unique window to study fast time-scale neural dynamics in humans. However, the…

Applications · Statistics 2015-11-13 Camilo Lamus , Matti S. Hamalainen , Emery N. Brown , Patrick L. Purdon

Music, being a multifaceted stimulus evolving at multiple timescales, modulates brain function in a manifold way that encompasses not only the distinct stages of auditory perception but also higher cognitive processes like memory and…

Neurons and Cognition · Quantitative Biology 2018-02-06 Dimitrios A. Adamos , Nikolaos Laskaris , Sifis Micheloyannis

Electroencephalography (EEG) is commonly used by physicians for the diagnosis of numerous neurological disorders. Due to the large volume of EEGs requiring interpretation and the specific expertise involved, artificial intelligence-based…

Introduction. Low-cost health monitoring devices are increasingly being used for mental health related studies including stress. While cortisol response magnitude remains the gold standard indicator for stress assessment, a growing number…

Human-Computer Interaction · Computer Science 2024-03-12 Gideon Vos , Maryam Ebrahimpour , Liza van Eijk , Zoltan Sarnyai , Mostafa Rahimi Azghadi

For several decades, electroencephalography (EEG) has featured as one of the most commonly used tools in emotional state recognition via monitoring of distinctive brain activities. An array of datasets have been generated with the use of…

A limiting factor towards the wide routine use of wearables devices for continuous healthcare monitoring is their cumbersome and obtrusive nature. This is particularly true for electroencephalography (EEG) recordings, which require the…

Signal Processing · Electrical Eng. & Systems 2021-05-20 Laura M. Ferrari , Guy Abi Hanna , Paolo Volpe , Esma Ismailova , François Bremond , Maria A. Zuluaga

Functional connectivity of cognitive tasks allows researchers to analyse the interaction mapping occurring between different regions of the brain using electroencephalography (EEG) signals. Standard practice in functional connectivity…

Human-Computer Interaction · Computer Science 2019-07-23 Saugat Bhattacharyya , Mitsuhiro Hayashibe

Brain responses related to working memory originate from distinct brain areas and oscillate at different frequencies. EEG signals with high temporal correlation can effectively capture these responses. Therefore, estimating the functional…

Machine Learning · Computer Science 2024-05-01 Harshini Gangapuram , Vidya Manian

Electroencephalographic (EEG) signals are fundamental to neuroscience research and clinical applications such as brain-computer interfaces and neurological disorder diagnosis. These signals are typically a combination of neurological…

Machine Learning · Computer Science 2023-10-27 Matteo Gabardi , Aurora Saibene , Francesca Gasparini , Daniele Rizzo , Fabio Antonio Stella
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