These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
2. Using EEG-based brain computer interface and neurofeedback targeting sensorimotor rhythms to improve motor skills: Theoretical background, applications and prospects. Jeunet C; Glize B; McGonigal A; Batail JM; Micoulaud-Franchi JA Neurophysiol Clin; 2019 Apr; 49(2):125-136. PubMed ID: 30414824 [TBL] [Abstract][Full Text] [Related]
3. Interfacing brain with computer to improve communication and rehabilitation after brain damage. Riccio A; Pichiorri F; Schettini F; Toppi J; Risetti M; Formisano R; Molinari M; Astolfi L; Cincotti F; Mattia D Prog Brain Res; 2016; 228():357-87. PubMed ID: 27590975 [TBL] [Abstract][Full Text] [Related]
4. Neurofeedback training with a motor imagery-based BCI: neurocognitive improvements and EEG changes in the elderly. Gomez-Pilar J; Corralejo R; Nicolas-Alonso LF; Álvarez D; Hornero R Med Biol Eng Comput; 2016 Nov; 54(11):1655-1666. PubMed ID: 26906278 [TBL] [Abstract][Full Text] [Related]
5. Cognitive assessment in Amyotrophic Lateral Sclerosis by means of P300-Brain Computer Interface: a preliminary study. Poletti B; Carelli L; Solca F; Lafronza A; Pedroli E; Faini A; Zago S; Ticozzi N; Meriggi P; Cipresso P; Lulé D; Ludolph AC; Riva G; Silani V Amyotroph Lateral Scler Frontotemporal Degener; 2016; 17(7-8):473-481. PubMed ID: 27169693 [TBL] [Abstract][Full Text] [Related]
6. Brain-computer interface after nervous system injury. Burns A; Adeli H; Buford JA Neuroscientist; 2014 Dec; 20(6):639-51. PubMed ID: 25193343 [TBL] [Abstract][Full Text] [Related]
7. Combining brain-computer interface and virtual reality for rehabilitation in neurological diseases: A narrative review. Wen D; Fan Y; Hsu SH; Xu J; Zhou Y; Tao J; Lan X; Li F Ann Phys Rehabil Med; 2021 Jan; 64(1):101404. PubMed ID: 32561504 [TBL] [Abstract][Full Text] [Related]
8. Hybrid P300-based brain-computer interface to improve usability for people with severe motor disability: electromyographic signals for error correction during a spelling task. Riccio A; Holz EM; Aricò P; Leotta F; Aloise F; Desideri L; Rimondini M; Kübler A; Mattia D; Cincotti F Arch Phys Med Rehabil; 2015 Mar; 96(3 Suppl):S54-61. PubMed ID: 25721548 [TBL] [Abstract][Full Text] [Related]
9. Brain computer interface based applications for training and rehabilitation of students with neurodevelopmental disorders. A literature review. Papanastasiou G; Drigas A; Skianis C; Lytras M Heliyon; 2020 Sep; 6(9):e04250. PubMed ID: 32954024 [TBL] [Abstract][Full Text] [Related]
10. Brain-computer interface technology as a tool to augment plasticity and outcomes for neurological rehabilitation. Dobkin BH J Physiol; 2007 Mar; 579(Pt 3):637-42. PubMed ID: 17095557 [TBL] [Abstract][Full Text] [Related]
14. Brain-computer interfaces for communication and rehabilitation. Chaudhary U; Birbaumer N; Ramos-Murguialday A Nat Rev Neurol; 2016 Sep; 12(9):513-25. PubMed ID: 27539560 [TBL] [Abstract][Full Text] [Related]
15. Upper Alpha Based Neurofeedback Training in Chronic Stroke: Brain Plasticity Processes and Cognitive Effects. Kober SE; Schweiger D; Reichert JL; Neuper C; Wood G Appl Psychophysiol Biofeedback; 2017 Mar; 42(1):69-83. PubMed ID: 28197747 [TBL] [Abstract][Full Text] [Related]
16. Mobile EEG and its potential to promote the theory and application of imagery-based motor rehabilitation. Kranczioch C; Zich C; Schierholz I; Sterr A Int J Psychophysiol; 2014 Jan; 91(1):10-5. PubMed ID: 24144637 [TBL] [Abstract][Full Text] [Related]
17. Application of BCI systems in neurorehabilitation: a scoping review. Bamdad M; Zarshenas H; Auais MA Disabil Rehabil Assist Technol; 2015; 10(5):355-64. PubMed ID: 25560222 [TBL] [Abstract][Full Text] [Related]
18. Assessment of neurofeedback training by means of motor imagery based-BCI for cognitive rehabilitation. Gomez-Pilar J; Corralejo R; Nicolas-Alonso LF; Álvarez D; Hornero R Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():3630-3. PubMed ID: 25570777 [TBL] [Abstract][Full Text] [Related]
19. Investigating the effects of a sensorimotor rhythm-based BCI training on the cortical activity elicited by mental imagery. Toppi J; Risetti M; Quitadamo LR; Petti M; Bianchi L; Salinari S; Babiloni F; Cincotti F; Mattia D; Astolfi L J Neural Eng; 2014 Jun; 11(3):035010. PubMed ID: 24835634 [TBL] [Abstract][Full Text] [Related]