Neurofeedback

Brain–machine interface via real-time fMRI: Preliminary study on thought-controlled robotic arm

Jong‐Hwan Lee, Jeongwon Ryu, Ferenc A. Jólesz, Zang‐Hee Cho, Seung-Schik Yoo

Citations: 159 • 2008

Oscillatory entrainment of the motor cortical network during motor imagery is modulated by the feedback modality

Mathias Vukelić, Alireza Gharabaghi

Citations: 104 • 2015

Wearable Brain–Computer Interface Instrumentation for Robot-Based Rehabilitation by Augmented Reality

Pasquale Arpaïa, Luigi Duraccio, Nicola Moccaldi, Silvia Rossi

Citations: 95 • 2020

Neuromodulation, Agency and Autonomy

Walter Glannon

Citations: 94 • 2013

An EEG/EOG-based hybrid brain-neural computer interaction (BNCI) system to control an exoskeleton for the paralyzed hand

Surjo R. Soekadar, Matthias Witkowski, Nicola Vitiello, Niels Birbaumer

Citations: 88 • 2014

Quantitative EEG for Predicting Upper Limb Motor Recovery in Chronic Stroke Robot-Assisted Rehabilitation

Paula Trujillo, Alfonso Mastropietro, Alessandro Scano, Andrea Chiavenna, Simona Mrakic‐Sposta, Marco Caimmi, Franco Molteni, Giovanna Rizzo

Citations: 87 • 2017

Reinforcement learning of self-regulated sensorimotor β-oscillations improves motor performance

Georgios Naros, Ilias Naros, Florian Grimm, Ulf Ziemann, Alireza Gharabaghi

Citations: 82 • 2016

Psychological Benefits of Nonpharmacological Methods Aimed for Improving Balance in Parkinson’s Disease: A Systematic Review

Rastislav Šumec, Pavel Filip, Kateřina Sheardová, Martin Bareš

Citations: 81 • 2015

Induced sensorimotor brain plasticity controls pain in phantom limb patients

Takufumi Yanagisawa, Ryohei Fukuma, Ben Seymour, Koichi Hosomi, Haruhiko Kishima, Takeshi Shimizu, Hiroshi Yokoi, Masayuki Hirata, Toshiki Yoshimine, Yukiyasu Kamitani, Youichi Saitoh

Citations: 79 • 2016

Brain‐machine interface of upper limb recovery in stroke patients rehabilitation: A systematic review

R. Carvalho, N. S. Dias, João Cerqueira

Citations: 75 • 2019

Hybrid Neuroprosthesis for the Upper Limb: Combining Brain-Controlled Neuromuscular Stimulation with a Multi-Joint Arm Exoskeleton

Florian Grimm, Armin Walter, Martin Spüler, Georgios Naros, Wolfgang Rosenstiel, Alireza Gharabaghi

Citations: 68 • 2016

Selective visual attention to drive cognitive brain–machine interfaces: from concepts to neurofeedback and rehabilitation applications

Elaine Ästrand, Claire Wardak, Suliann Ben Hamed

Citations: 66 • 2014

Enhancement of motor-imagery ability via combined action observation and motor-imagery training with proprioceptive neurofeedback

Yumie Ono, Kenya Wada, Masaya Kurata, Naoto Seki

Citations: 61 • 2018

Innovative technologies applied to sensorimotor rehabilitation after stroke

Isabelle Laffont, Karima Bakhti, F. Coroian, L. van Dokkum, Denis Mottet, Nicolas Schweighofer, Jérôme Froger

Citations: 54 • 2014

Embodied neurofeedback with an anthropomorphic robotic hand

Niclas Braun, Reiner Emkes, Jeremy D. Thorne, Stefan Debener

Citations: 49 • 2016

Sensorimotor Connectivity after Motor Exercise with Neurofeedback in Post-Stroke Patients with Hemiplegia

Shohei Tsuchimoto, Keiichiro Shindo, Fujiko Hotta, Takashi Hanakawa, Meigen Liu, Junichi Ushiba

Citations: 49 • 2019

What Turns Assistive into Restorative Brain-Machine Interfaces?

Alireza Gharabaghi

Citations: 46 • 2016

Closed-loop adaptation of neurofeedback based on mental effort facilitates reinforcement learning of brain self-regulation

Robert Bauer, Meike Fels, Vladislav Royter, Valerio Raco, Alireza Gharabaghi

Citations: 36 • 2016

Electroencephalographic identifiers of motor adaptation learning

Ozan Özdenizci, Mustafa Yalçın, Ahmetcan Erdoğan, Volkan Patoğlu, Moritz Grosse‐Wentrup, Müjdat Çetin

Citations: 29 • 2017

Robot-Assisted Mindfulness Practice: Analysis of Neurophysiological Responses and Affective State Change

Maryam Alimardani, Linda Kemmeren, Kazuki Okumura, Kazuo Hiraki

Citations: 29 • 2020