Letter: Need and Impact of the Development of Robotic Neurosurgery in Latin America

Lozada-Martínez, Iván David; Maiguel-Lapeira, Juan; Torres-Llinás, Daniela; Moscote-Salazar, Luis Rafael; Rahman, Moshiur; Pacheco-Hernández, Alfonso

doi:10.1093/neuros/nyab088

Cited by 25 publications

(16 citation statements)

References 14 publications

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“…According to global disease research records, more than 10 million patients worldwide suffer from stroke and up to 116 million people are left with disabilities. This disability affects the patient and the patient’s family’s daily life [ 1 ]. Stroke causes damage to the central nervous system.…”

Section: Introductionmentioning

confidence: 99%

A Review of Brain Activity and EEG-Based Brain–Computer Interfaces for Rehabilitation Application

et al. 2022

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Patients with severe CNS injuries struggle primarily with their sensorimotor function and communication with the outside world. There is an urgent need for advanced neural rehabilitation and intelligent interaction technology to provide help for patients with nerve injuries. Recent studies have established the brain-computer interface (BCI) in order to provide patients with appropriate interaction methods or more intelligent rehabilitation training. This paper reviews the most recent research on brain-computer-interface-based non-invasive rehabilitation systems. Various endogenous and exogenous methods, advantages, limitations, and challenges are discussed and proposed. In addition, the paper discusses the communication between the various brain-computer interface modes used between severely paralyzed and locked patients and the surrounding environment, particularly the brain-computer interaction system utilizing exogenous (induced) EEG signals (such as P300 and SSVEP). This discussion reveals with an examination of the interface for collecting EEG signals, EEG components, and signal postprocessing. Furthermore, the paper describes the development of natural interaction strategies, with a focus on signal acquisition, data processing, pattern recognition algorithms, and control techniques.

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Section: Introductionmentioning

confidence: 99%

A Review of Brain Activity and EEG-Based Brain–Computer Interfaces for Rehabilitation Application

et al. 2022

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“…This situation is due to the cost demanded by the purchase of robotic devices, maintenance, and operational equipment that must be trained to manage these. All this added to the health system structure in Latin America, which does not have sufficient economic resources for health services [10,11] .…”

mentioning

confidence: 99%

Perspective of robotic surgery in Colombia, are we doing well?

Gutiérrez

Flórez

González

et al. 2022

International Journal of Surgery: Global Health

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“…[6][7][8] The design and support of specialized post-COVID 19 syndrome or neurorehabilitation centers is imperative to reduce the risk of loss of functional capacity of those affected. 9,10 This will probably be one of the most important lines of research in neurosciences in the coming years.…”

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confidence: 99%

Neuropsychiatric phenotype of post-COVID 19 neurological syndrome: broadening the concept

Rahman¹,

Castellar-Visbal²,

Barreto-Celis³

et al. 2022

JNSK

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Many phenotypes have been described in the literature, the most named being the post-COVID 19 neurological syndrome, due to the findings of SARS-Cov-2 neurotropism and the process of active or passive neuroinflammation that can be generated during the acute phase of this disease, even in the absence of neurological symptoms. 3 Considering that the nervous system is very susceptible to injury and slow and unsafe recovery, it is one of the most serious phenotypes of attention. 3 Older patients with comorbidities have a higher risk of developing the severe COVID-19 phenotype, and in these patients, neuroplasticity is reduced due to age and microvascular injury from vascular enlargement and atherosclerosis. 3 This leads us to think about the need to follow up on the neurological integrity of all patients who undergo a definitive diagnosis of COVID-19.

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Letter: Need and Impact of the Development of Robotic Neurosurgery in Latin America

Cited by 25 publications

References 14 publications

A Review of Brain Activity and EEG-Based Brain–Computer Interfaces for Rehabilitation Application

A Review of Brain Activity and EEG-Based Brain–Computer Interfaces for Rehabilitation Application

Perspective of robotic surgery in Colombia, are we doing well?

Neuropsychiatric phenotype of post-COVID 19 neurological syndrome: broadening the concept

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