Neurofeedback training with a motor imagery-based BCI: neurocognitive improvements and EEG changes in the elderly

Gómez‐Pilar, Javier; Corralejo, Rebeca; Nicolás-Alonso, Luis F.; Álvarez, Daniel; Hornero, Roberto

doi:10.1007/s11517-016-1454-4

Cited by 56 publications

(53 citation statements)

References 48 publications

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“…Another application of BCI for cognitive enhancement in the elderly has been developed by Gomez-Pilar and colleagues [ 41 , 42 ]. The authors developed a motor-imagery-based BCI system to perform NF in healthy elderly, which was realized by means of five different tasks of increasing difficulty levels.…”

Section: Resultsmentioning

confidence: 99%

Brain-Computer Interface for Clinical Purposes: Cognitive Assessment and Rehabilitation

Carelli

Solca

Faini

et al. 2017

BioMed Research International

102

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Alongside the best-known applications of brain-computer interface (BCI) technology for restoring communication abilities and controlling external devices, we present the state of the art of BCI use for cognitive assessment and training purposes. We first describe some preliminary attempts to develop verbal-motor free BCI-based tests for evaluating specific or multiple cognitive domains in patients with Amyotrophic Lateral Sclerosis, disorders of consciousness, and other neurological diseases. Then we present the more heterogeneous and advanced field of BCI-based cognitive training, which has its roots in the context of neurofeedback therapy and addresses patients with neurological developmental disorders (autism spectrum disorder and attention-deficit/hyperactivity disorder), stroke patients, and elderly subjects. We discuss some advantages of BCI for both assessment and training purposes, the former concerning the possibility of longitudinally and reliably evaluating cognitive functions in patients with severe motor disabilities, the latter regarding the possibility of enhancing patients' motivation and engagement for improving neural plasticity. Finally, we discuss some present and future challenges in the BCI use for the described purposes.

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Section: Resultsmentioning

confidence: 99%

Brain-Computer Interface for Clinical Purposes: Cognitive Assessment and Rehabilitation

Carelli

Solca

Faini

et al. 2017

BioMed Research International

102

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“…This technique has been used for treatment of various conditions including attention deficit hyperactivity disorder, epilepsy or depression ( Laibow, 1999 , Demos, 2005 ). It should not be confused with neurofeedback based on a verbalised strategy (strategy that can be explained with words) such as motor imagery (imagination of movements), that has been extensively used in the area of Brain Computer Interface ( Gomez-Pilar et al, 2016 ).…”

Section: Methodsmentioning

confidence: 99%

Reversed cortical over-activity during movement imagination following neurofeedback treatment for central neuropathic pain

Hasan

Fraser

Conway

et al. 2016

Clinical Neurophysiology

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“…To address aging-related cognitive impairments, Lee et al (2013) , and Gomez-Pilar et al (2016) study the cognitive capabilities of elderly people related to memory. Both of the studies show that BCI and cognitive tests can improve memory ability among the elderly.…”

Section: How Can Bci Applications Improve the Quality Of Elderly Livimentioning

confidence: 99%

Brain Computer Interfaces for Improving the Quality of Life of Older Adults and Elderly Patients

et al. 2020

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All people experience aging, and the related physical and health changes, including changes in memory and brain function. These changes may become debilitating leading to an increase in dependence as people get older. Many external aids and tools have been developed to allow older adults and elderly patients to continue to live normal and comfortable lives. This mini-review describes some of the recent studies on cognitive decline and motor control impairment with the goal of advancing non-invasive brain computer interface (BCI) technologies to improve health and wellness of older adults and elderly patients. First, we describe the state of the art in cognitive prosthetics for psychiatric diseases. Then, we describe the state of the art of possible assistive BCI applications for controlling an exoskeleton, a wheelchair and smart home for elderly people with motor control impairments. The basic age-related brain and body changes, the effects of age on cognitive and motor abilities, and several BCI paradigms with typical tasks and outcomes are thoroughly described. We also discuss likely future trends and technologies to assist healthy older adults and elderly patients using innovative BCI applications with minimal technical oversight.

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Neurofeedback training with a motor imagery-based BCI: neurocognitive improvements and EEG changes in the elderly

Cited by 56 publications

References 48 publications

Brain-Computer Interface for Clinical Purposes: Cognitive Assessment and Rehabilitation

Brain-Computer Interface for Clinical Purposes: Cognitive Assessment and Rehabilitation

Reversed cortical over-activity during movement imagination following neurofeedback treatment for central neuropathic pain

Brain Computer Interfaces for Improving the Quality of Life of Older Adults and Elderly Patients

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