A comprehensive review of EEG-based brain–computer interface paradigms

R Abiri, S Borhani, EW Sellers, Y Jiang… - Journal of neural …, 2019 - iopscience.iop.org
Advances in brain science and computer technology in the past decade have led to exciting
developments in brain–computer interface (BCI), thereby making BCI a top research area in …

Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states

AE Hramov, VA Maksimenko, AN Pisarchik - Physics Reports, 2021 - Elsevier
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …

Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI

F Fahimi, Z Zhang, WB Goh, TS Lee… - Journal of neural …, 2019 - iopscience.iop.org
Objective. Despite the effective application of deep learning (DL) in brain–computer
interface (BCI) systems, the successful execution of this technique, especially for inter …

Cognitive and neural plasticity in old age: A systematic review of evidence from executive functions cognitive training

L Nguyen, K Murphy, G Andrews - Ageing research reviews, 2019 - Elsevier
Cognitive training is a popular intervention aimed at attenuating age-related cognitive
decline, however, the effects of this intervention on brain structure and function have not …

Brain‐computer interface for clinical purposes: Cognitive assessment and rehabilitation

L Carelli, F Solca, A Faini, P Meriggi… - BioMed research …, 2017 - Wiley Online Library
Alongside the best‐known applications of brain‐computer interface (BCI) technology for
restoring communication abilities and controlling external devices, we present the state of …

Brain-computer-interface-based intervention re-normalizes brain functional network topology in children with attention deficit/hyperactivity disorder

X Qian, BRY Loo, FX Castellanos, S Liu, HL Koh… - Translational …, 2018 - nature.com
A brain-computer-interface (BCI)-based attention training game system has shown promise
for treating attention deficit/hyperactivity disorder (ADHD) children with inattentive symptoms …

Modulation of neurotrophic factors in the treatment of dementia, stroke and TBI: Effects of Cerebrolysin

K Rejdak, H Sienkiewicz‐Jarosz… - Medicinal Research …, 2023 - Wiley Online Library
Neurotrophic factors (NTFs) are involved in the pathophysiology of neurological disorders
such as dementia, stroke and traumatic brain injury (TBI), and constitute molecular targets of …

A randomized controlled trial of a brain-computer interface based attention training program for ADHD

CG Lim, XWW Poh, SSD Fung, C Guan, D Bautista… - PloS one, 2019 - journals.plos.org
Objective The use of brain-computer interface in neurofeedback therapy for attention deficit
hyperactivity disorder (ADHD) is a relatively new approach. We conducted a randomized …

An end-to-end 3D convolutional neural network for decoding attentive mental state

Y Zhang, H Cai, L Nie, P Xu, S Zhao, C Guan - Neural Networks, 2021 - Elsevier
The detection of attentive mental state plays an essential role in the neurofeedback process
and the treatment of Attention Deficit and Hyperactivity Disorder (ADHD). However, the …

Mindfulness training improves cognition and strengthens intrinsic connectivity between the hippocampus and posteromedial cortex in healthy older adults

G Sevinc, J Rusche, B Wong, T Datta… - Frontiers in aging …, 2021 - frontiersin.org
Maintaining optimal cognitive functioning throughout the lifespan is a public health priority.
Evaluation of cognitive outcomes following interventions to promote and preserve brain …