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Related papers: Dynamic Brain Behaviours in Stroke: A Longitudinal…

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The brain continually reorganizes its functional network to adapt to post-stroke functional impairments. Previous studies using static modularity analysis have presented global-level behavior patterns of this network reorganization.…

Computation · Statistics 2024-03-25 Kaichao Wu , Beth Jelfs , Katrina Neville , Wenzhen He , Qiang Fang

Healthy brain networks usually show highly efficient information communication and self-sustained oscillation abilities. However, how the brain network structure affects these dynamics after an injury (stroke) is not very clear. The…

Physics and Society · Physics 2025-06-12 Yingpeng Liu , Jiao Wu , Kesheng Xu , Muhua Zheng

Functional magnetic resonance imaging (fMRI) has been widely utilized to study the motor deficits and rehabilitation following stroke. In particular, functional connectivity(FC) analyses with fMRI at rest can be employed to reveal the…

Neurons and Cognition · Quantitative Biology 2023-01-19 Kaichao Wu , Beth Jelfs , Katrina Neville , John Q. Fang

This paper addresses the question of the brain's critical dynamics after an injury such as a stroke. It is hypothesized that the healthy brain operates near a phase transition (critical point), which provides optimal conditions for…

Neurons and Cognition · Quantitative Biology 2023-08-01 Jakub Janarek , Zbigniew Drogosz , Jacek Grela , Jeremi K. Ochab , Paweł Oświęcimka

Plasticity after stroke is a complex phenomenon initiated by the functional reorganization of the brain, especially in the perilesional tissue. At macroscales, the reestablishment of segregation within the affected hemisphere and…

Neurons and Cognition · Quantitative Biology 2022-04-26 Catalina Obando , Charlotte Rosso , Joshua Siegel , Maurizio Corbetta , Fabrizio De Vico Fallani

Stroke is one of the main causes of human disabilities. Experimental observations indicate that several mechanisms are activated during the recovery of functional activity after a stroke. Here we unveil how the brain recovers by explaining…

Neurons and Cognition · Quantitative Biology 2019-11-19 Damian Berger , Emanuele Varriale , Laurens Michiels van Kessenich , Hans J. Herrmann , Lucilla de Arcangelis

The trajectory of an individual's recovery after traumatic brain injury (TBI) is heterogeneous, with complete recovery in some cases but persistent disability in others. We hypothesized that changes in structural brain network abnormalities…

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…

Functional brain connectivity, as revealed through distant correlations in the signals measured by functional Magnetic Resonance Imaging (fMRI), is a promising source of biomarkers of brain pathologies. However, establishing and using…

Stroke is the leading cause of serious and long-term disability worldwide. Some studies have shown that motor imagery (MI) based BCI has a positive effect in poststroke rehabilitation. It could help patients promote the reorganization…

Human-Computer Interaction · Computer Science 2018-05-15 Zhaoyang Qiu , Shugeng Chen , Ian Daly , Jie Jia , Xingyu Wang , Jing Jin

Recently, the potential of dynamic brain networks as a neuroimaging biomarkers for mental illnesses is being increasingly recognized. However, there are several unmet challenges in developing such biomarkers, including the need for methods…

Neurons and Cognition · Quantitative Biology 2019-10-10 Suprateek Kundu , Jin Ming , Jennifer Stevens

Stroke is a leading cause of long-term disability and the second most common cause of death worldwide. Although acute treatments have advanced, recovery remains challenging and limited. Brain-computer interfaces (BCIs) have emerged as a…

Neurons and Cognition · Quantitative Biology 2025-10-10 Aniana Cruz , Marko Kuzmanoski , Gabriel Pires

In recent years, network analyses have been used to evaluate brain reorganization following stroke. However, many studies have often focused on single topological scales, leading to an incomplete model of how focal brain lesions affect…

Neurons and Cognition · Quantitative Biology 2014-09-10 Fabrizio De Vico Fallani , Floriana Pichiorri , Giovanni Morone , Marco Molinari , Fabio Babiloni , Febo Cincotti , Donatella Mattia

Human learning is a complex process in which future behavior is altered via the reorganization of brain activity and connectivity. It remains unknown whether activity and connectivity differentially reorganize during learning, and, if so,…

Accelerometry has been extensively studied as an objective means of measuring upper limb function in patients post-stroke. The objective of this paper is to determine whether the accelerometry-derived measurements frequently used in more…

Machine Learning · Computer Science 2023-11-09 Mackenzie Wallich , Kenneth Lai , Svetlana Yanushkevich

Stroke is one of the leading causes of disability worldwide. The efficacy of recovery is determined by a variety of factors, including patient adherence to rehabilitation programs. One way to increase patient adherence to their…

Human-Computer Interaction · Computer Science 2024-02-20 Alicia Ouskine , Adrian D. C. Chan , Fateme Rajabiyazdi

This study investigated the dynamic connectivity patterns between EEG and fMRI modalities, contributing to our understanding of brain network interactions. By employing a comprehensive approach that integrated static and dynamic analyses of…

Machine Learning · Computer Science 2024-12-02 Guiran Liu , Binrong Zhu

Assessing the quality of movements for post-stroke patients during the rehabilitation phase is vital given that there is no standard stroke rehabilitation plan for all the patients. In fact, it depends basically on the patient's functional…

Signal Processing · Electrical Eng. & Systems 2023-01-02 Asma Bensalah , Alicia Fornés , Cristina Carmona-Duarte , Josep Lladós

Structural and functional MRI studies of patients with post-stroke language deficits have contributed substantially to our understanding of how cognitive-behavioral impairments relate to the location of structural damage and to the…

Neurons and Cognition · Quantitative Biology 2016-10-14 Joseph C. Griffis , Rodolphe Nenert , Jane B. Allendorfer , Jerzy P. Szaflarski
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