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Procrastination represents one of the most prevalent behavioral problems associated with individual health and societal productivity. Despite its high prevalence and substantial impact on daily functioning, its underlying neurocognitive…

Neurons and Cognition · Quantitative Biology 2026-05-15 Zhiyi Chen , Zhilin Ren , Wei Li , ZhenZhen Huo , ZhuangZheng Wang , Ye Liu , Bowen Hu , Wanting Chen , Ting Xu , Artemiy Leonov , Chenyan Zhang , Bernhard Hommel , Tingyong Feng

Electromagnetic stimulation of the human brain is a key tool for the neurophysiological characterization and diagnosis of several neurological disorders. Transcranial magnetic stimulation (TMS) is one procedure that is commonly used…

Machine Learning · Computer Science 2020-02-04 Essam A. Rashed , Jose Gomez-Tames , Akimasa Hirata

Consciousness is the window of the brain and reflects many fundamental cognitive properties involving both computational and cognitive mechanisms. A collection of these properties was described as the "easy problems" by Chalmers, including…

Neurons and Cognition · Quantitative Biology 2026-03-06 Qi Zhang

Cognition refers to the function of information perception and processing, which is the fundamental psychological essence of human beings. It is responsible for reasoning and decision-making, while its evaluation is significant for the…

Human-Computer Interaction · Computer Science 2024-08-28 Jun Chen , Anqi Chen , Bingkun Jiang , Mohammad S. Obaidat , Ni Li , Xinyu Zhang

Objective: Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation technique used to generate conduction currents in the head and disrupt brain functions. To rapidly evaluate the tDCS-induced current density in…

Quantitative Methods · Quantitative Biology 2022-10-07 Xiaofan Jia , Sadeed Bin Sayed , Nahian Ibn Hasan , Luis J. Gomez , Guang-Bin Huang , Abdulkadir C. Yucel

Stress has emerged as a critical global health issue, contributing to cardiovascular disorders, depression, and several other long-term illnesses. Consequently, accurate and reliable stress monitoring systems are of growing importance. In…

Signal Processing · Electrical Eng. & Systems 2025-09-03 Md. Mohibbul Haque Chowdhury , Nafisa Anjum , Md. Rokonuzzaman Mim

Fractional-order dynamical systems are used to describe processes that exhibit temporal long-term memory and power-law dependence of trajectories. There has been evidence that complex neurophysiological signals like electroencephalogram…

Optimization and Control · Mathematics 2019-10-02 Orlando Romero , Sarthak Chatterjee , Sérgio Pequito

The dynamic characteristics of functional network connectivity have been widely acknowledged and studied. Both shared and unique information has been shown to be present in the connectomes. However, very little has been known about whether…

Neurons and Cognition · Quantitative Biology 2020-06-18 Biao Cai , Gemeng Zhang , Aiying Zhang , Li Xiao , Wenxing Hu , Julia M. Stephen , Tony W. Wilson , Vince D. Calhoun , Yu-Ping Wang

Targeted electrical stimulation of the brain perturbs neural networks and modulates their rhythmic activity both at the site of stimulation and at remote brain regions. Understanding, or even predicting, this neuromodulatory effect is…

Neurons and Cognition · Quantitative Biology 2021-06-29 Christoforos Papasavvas , Peter Neal Taylor , Yujiang Wang

Background: Transcranial magnetic stimulation (TMS) is a powerful tool to investigate neurophysiology of the human brain and treat brain disorders. Traditionally, therapeutic TMS has been applied in a one-size-fits-all approach,…

Functional connectivity is a key approach to investigate oscillatory activities of the brain that provides important insights on the underlying dynamic of neuronal interactions and that is mostly applied for brain activity analysis.…

Neurons and Cognition · Quantitative Biology 2022-02-17 Marie-Constance Corsi , Sylvain Chevallier , Fabrizio De Vico Fallani , Florian Yger

The study reported herein attempts to understand the neural mechanisms engaged in the conscious control of breathing and breath-hold. The variations in the electroencephalogram (EEG) based functional connectivity (FC) of the human brain…

Signal Processing · Electrical Eng. & Systems 2023-12-18 Anusha A. S. , Pradeep Kumar G. , A. G. Ramakrishnan

Simulations are a pedagogical means of enabling a risk-free way for healthcare practitioners to learn, maintain, or enhance their knowledge and skills. Such simulations should provide an optimum amount of cognitive load to the learner and…

Human-Computer Interaction · Computer Science 2020-02-05 Pritam Sarkar , Kyle Ross , Aaron J. Ruberto , Dirk Rodenburg , Paul Hungler , Ali Etemad

The study of functional brain connectivity (FC) is important for understanding the underlying mechanisms of many psychiatric disorders. Many recent analyses adopt graph convolutional networks, to study non-linear interactions between…

Neurons and Cognition · Quantitative Biology 2021-09-08 Simon Dahan , Logan Z. J. Williams , Daniel Rueckert , Emma C. Robinson

In the status quo, dementia is yet to be cured. Precise diagnosis prior to the onset of the symptoms can prevent the rapid progression of the emerging cognitive impairment. Recent progress has shown that Electroencephalography (EEG) is the…

In this study, we utilized statistical analysis and machine learning methods to examine whether rehabilitation exercises can improve patients post-stroke functional abilities, as well as forecast the improvement in functional abilities. Our…

The relationship between brain structure and function has been probed using a variety of approaches, but how the underlying structural connectivity of the human brain drives behavior is far from understood. To investigate the effect of…

Neurons and Cognition · Quantitative Biology 2018-11-15 Kanika Bansal , John D. Medaglia , Danielle S. Bassett , Jean M. Vettel , Sarah F. Muldoon

Electrocardiogram is a useful diagnostic signal that can detect cardiac abnormalities by measuring the electrical activity generated by the heart. Due to its rapid, non-invasive, and richly informative characteristics, ECG has many emerging…

Machine Learning · Computer Science 2025-12-09 Hanhui Deng , Xinglin Li , Jie Luo , Di Wu

We study functional activity in the human brain using functional Magnetic Resonance Imaging and recently developed tools from network science. The data arise from the performance of a simple behavioural motor learning task. Unsupervised…

The center stage of neuro-imaging is currently occupied by studies of functional correlations between brain regions. These correlations define the brain functional networks, which are the most frequently used framework to represent and…

Neurons and Cognition · Quantitative Biology 2022-10-27 Ignacio Cifre , Maria T. Miller Flores , Jeremi K. Ochab , Dante R. Chialvo