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Attention-deficit/hyperactivity disorder (ADHD) is characterized by executive dysfunction and difficulties in processing emotional facial expressions, yet the large-scale neural dynamics underlying these impairments remain insufficiently…

Neurons and Cognition · Quantitative Biology 2025-12-16 Saghar Vosough , Gian Candrian , Johannes Kasper , Hossam Abdel Rehim , Dominique Eich , Andreas Mueller , Lutz Jäncke

Parkinson's Disease (PD) often results in motor and cognitive impairments, including gait dysfunction, particularly in patients with freezing of gait (FOG). Current detection methods are either subjective or reliant on specialized gait…

Machine Learning · Computer Science 2026-01-14 Shomoita Jahid Mitin , Rodrigue Rizk , Maximilian Scherer , Thomas Koeglsperger , Daniel Lench , KC Santosh , Arun Singh

In a growing world of technology, psychological disorders became a challenge to be solved. The methods used for cognitive stimulation are very conventional and based on one-way communication, which only relies on the material or method used…

Signal Processing · Electrical Eng. & Systems 2023-04-28 Kislay Raj , Aditya Singh , Abhishek Mandal , Teerath Kumar , Arunabha M. Roy

The use of EEG biometrics, for the purpose of automatic people recognition, has received increasing attention in the recent years. Most of current analysis rely on the extraction of features characterizing the activity of single brain…

Neurons and Cognition · Quantitative Biology 2014-09-10 Daria La Rocca , Patrizio Campisi , Balazs Vegso , Peter Cserti , Gyorgy Kozmann , Fabio Babiloni , Fabrizio De Vico Fallani

Hemispheric irregularities of solar magnetic activity is a well-observed phenomenon -- the origin of which has been studied through numerical simulations and data-analysis techniques. In this work we explore possible causes generating…

Solar and Stellar Astrophysics · Physics 2019-12-18 Prantika Bhowmik

Neural oscillations are electrical activities of the brain measurable at different frequencies. This paper studies the interaction between the fast and slow processes in the brain. We recorded signals intracranially from the simple Wistar…

Neurons and Cognition · Quantitative Biology 2022-05-12 Evgeniia S. Sevasteeva , Sergei A. Plotnikov , Dmitry R. Belov

To understand Working of Human Brain measurements related to the brain function are required. These measurements should be possibly non-invasive. Brain should be disturbed as less as possible during the measurement. Integration of various…

Emerging Technologies · Computer Science 2015-06-16 Revati Shriram , M. Sundhararajan , Nivedita Daimiwal

Synchronization in neural system plays an important role in many brain functions. Synchronization in the gamma frequency band (30Hz-100Hz) is involved in a variety of cognitive phenomena; abnormalities of the gamma synchronization are found…

Neurons and Cognition · Quantitative Biology 2021-04-26 Quynh-Anh Nguyen , Leonid L Rubchinsky

The deficit of executive functioning was found to be associated with attention deficit hyperactivity disorder (ADHD) in general and its subtypes. One of the important functions of central executive is the ability simultaneously coordinate…

Neurons and Cognition · Quantitative Biology 2011-01-11 Ketevan Inasaridze , Vera Bzhalava

Despite knowing the reality of three-dimensional (3D) technology in the form of eye fatigue, this technology continues to be retained by people (especially the young community). To check what happens before and after watching a 2D and 3D…

Signal Processing · Electrical Eng. & Systems 2019-03-15 Negin Manshouri , Masoud Maleki , Temel Kayikcioglu

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

The hemisphere soft function is calculated to order alpha_s^2. This is the first multi-scale soft function calculated to two loops. The renormalization scale dependence of the result agrees exactly with the prediction from effective field…

High Energy Physics - Phenomenology · Physics 2011-09-16 Randall Kelley , Robert M. Schabinger , Matthew D. Schwartz , Hua Xing Zhu

Purpose: The understanding of brain activity, and in particular events such as epileptic seizures, lies on the characterisation of the dynamics of the neural networks. The theory of non-linear dynamics provides signal analysis techniques…

Medical Physics · Physics 2007-05-23 C. Silva , I. R. Pimentel , A. Andrade , J. P. Foreid , E. Ducla-Soares

High frequency oscillations (HFOs) are a promising biomarker of epileptic brain tissue and activity. HFOs additionally serve as a prototypical example of challenges in the analysis of discrete events in high-temporal resolution,…

Neurons and Cognition · Quantitative Biology 2017-06-13 Stephen V. Gliske , Kevin R. Moon , William C. Stacey , Alfred O. Hero

Emerging evidence shows that cognitive deficits in Alzheimer disease (AD) are associated with disruptions in brain functional connectivity. Thus, the identification of alterations in AD functional networks has become a topic of increasing…

Neurons and Cognition · Quantitative Biology 2018-02-27 A. Kabbara , H. Eid , EL W. Falou , M. Khalil , F. Wendling , M. Hassan

The process of integration of inputs from several sensory modalities in the human brain is referred to as multisensory integration. Age-related cognitive decline leads to a loss in the ability of the brain to conceive multisensory inputs.…

Signal Processing · Electrical Eng. & Systems 2023-05-02 Prerna Singh , Ayush Tripathi , Lalan Kumar , Tapan Kumar Gandhi

The mammalian circadian system comprises a network of cell-autonomous oscillators, spanning from the central clock in the brain to peripheral clocks in other organs. These clocks are tightly coordinated to orchestrate rhythmic physiological…

Adaptation and Self-Organizing Systems · Physics 2022-12-29 Yitong Huang , Yuanzhao Zhang , Rosemary Braun

User engagement, cognitive participation, and motivation during task execution in physical human-robot interaction are crucial for motor learning. These factors are especially important in contexts like robotic rehabilitation, where…

Human-Computer Interaction · Computer Science 2024-11-28 Suzanne Oliver , Tomoko Kitago , Adam Buchwald , S. Farokh Atashzar

Neural feedback-triads consisting of two feedback loops with a non-reciprocal lateral connection from one loop to the other are ubiquitous in the brain. We show analytically that the dynamics of this network topology are determined by two…

Neurons and Cognition · Quantitative Biology 2009-03-17 M. S. Caudill , S. F. Brandt , Z. Nussinov , R. Wessel

Recently, practical brain-computer interface is actively carried out, especially, in an ambulatory environment. However, the electroencephalography signals are distorted by movement artifacts and electromyography signals in ambulatory…

Human-Computer Interaction · Computer Science 2020-02-05 Young-Eun Lee , Minji Lee
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