1026 related articles for article (PubMed ID: 24401829)
1. Effect of real-time cortical feedback in motor imagery-based mental practice training.
Bai O; Huang D; Fei DY; Kunz R
NeuroRehabilitation; 2014; 34(2):355-63. PubMed ID: 24401829
[TBL] [Abstract][Full Text] [Related]
2. Event-related desynchronization reflects downregulation of intracortical inhibition in human primary motor cortex.
Takemi M; Masakado Y; Liu M; Ushiba J
J Neurophysiol; 2013 Sep; 110(5):1158-66. PubMed ID: 23761697
[TBL] [Abstract][Full Text] [Related]
3. Muscle-selective disinhibition of corticomotor representations using a motor imagery-based brain-computer interface.
Takemi M; Maeda T; Masakado Y; Siebner HR; Ushiba J
Neuroimage; 2018 Dec; 183():597-605. PubMed ID: 30172003
[TBL] [Abstract][Full Text] [Related]
4. Brain oscillatory signatures of motor tasks.
Ramos-Murguialday A; Birbaumer N
J Neurophysiol; 2015 Jun; 113(10):3663-82. PubMed ID: 25810484
[TBL] [Abstract][Full Text] [Related]
5. Motor imagery and action observation: modulation of sensorimotor brain rhythms during mental control of a brain-computer interface.
Neuper C; Scherer R; Wriessnegger S; Pfurtscheller G
Clin Neurophysiol; 2009 Feb; 120(2):239-47. PubMed ID: 19121977
[TBL] [Abstract][Full Text] [Related]
6. Assessing motor imagery in brain-computer interface training: Psychological and neurophysiological correlates.
Vasilyev A; Liburkina S; Yakovlev L; Perepelkina O; Kaplan A
Neuropsychologia; 2017 Mar; 97():56-65. PubMed ID: 28167121
[TBL] [Abstract][Full Text] [Related]
7. A high performance sensorimotor beta rhythm-based brain-computer interface associated with human natural motor behavior.
Bai O; Lin P; Vorbach S; Floeter MK; Hattori N; Hallett M
J Neural Eng; 2008 Mar; 5(1):24-35. PubMed ID: 18310808
[TBL] [Abstract][Full Text] [Related]
8. Ipsilateral EEG mu rhythm reflects the excitability of uncrossed pathways projecting to shoulder muscles.
Hasegawa K; Kasuga S; Takasaki K; Mizuno K; Liu M; Ushiba J
J Neuroeng Rehabil; 2017 Aug; 14(1):85. PubMed ID: 28841920
[TBL] [Abstract][Full Text] [Related]
9. EEG-based classification of imaginary left and right foot movements using beta rebound.
Hashimoto Y; Ushiba J
Clin Neurophysiol; 2013 Nov; 124(11):2153-60. PubMed ID: 23757379
[TBL] [Abstract][Full Text] [Related]
10. Mental practice with motor imagery: evidence for motor recovery and cortical reorganization after stroke.
Butler AJ; Page SJ
Arch Phys Med Rehabil; 2006 Dec; 87(12 Suppl 2):S2-11. PubMed ID: 17140874
[TBL] [Abstract][Full Text] [Related]
11. Lateralization patterns of covert but not overt movements change with age: An EEG neurofeedback study.
Zich C; Debener S; De Vos M; Frerichs S; Maurer S; Kranczioch C
Neuroimage; 2015 Aug; 116():80-91. PubMed ID: 25979668
[TBL] [Abstract][Full Text] [Related]
12. Decoding human motor activity from EEG single trials for a discrete two-dimensional cursor control.
Huang D; Lin P; Fei DY; Chen X; Bai O
J Neural Eng; 2009 Aug; 6(4):046005. PubMed ID: 19556679
[TBL] [Abstract][Full Text] [Related]
13. A large clinical study on the ability of stroke patients to use an EEG-based motor imagery brain-computer interface.
Ang KK; Guan C; Chua KS; Ang BT; Kuah CW; Wang C; Phua KS; Chin ZY; Zhang H
Clin EEG Neurosci; 2011 Oct; 42(4):253-8. PubMed ID: 22208123
[TBL] [Abstract][Full Text] [Related]
14. On the feasibility of using motor imagery EEG-based brain-computer interface in chronic tetraplegics for assistive robotic arm control: a clinical test and long-term post-trial follow-up.
Onose G; Grozea C; Anghelescu A; Daia C; Sinescu CJ; Ciurea AV; Spircu T; Mirea A; Andone I; Spânu A; Popescu C; Mihăescu AS; Fazli S; Danóczy M; Popescu F
Spinal Cord; 2012 Aug; 50(8):599-608. PubMed ID: 22410845
[TBL] [Abstract][Full Text] [Related]
15. Neurofeedback-based motor imagery training for brain-computer interface (BCI).
Hwang HJ; Kwon K; Im CH
J Neurosci Methods; 2009 Apr; 179(1):150-6. PubMed ID: 19428521
[TBL] [Abstract][Full Text] [Related]
16. Precise estimation of human corticospinal excitability associated with the levels of motor imagery-related EEG desynchronization extracted by a locked-in amplifier algorithm.
Takahashi K; Kato K; Mizuguchi N; Ushiba J
J Neuroeng Rehabil; 2018 Nov; 15(1):93. PubMed ID: 30384845
[TBL] [Abstract][Full Text] [Related]
17. Towards a user-friendly brain-computer interface: initial tests in ALS and PLS patients.
Bai O; Lin P; Huang D; Fei DY; Floeter MK
Clin Neurophysiol; 2010 Aug; 121(8):1293-303. PubMed ID: 20347612
[TBL] [Abstract][Full Text] [Related]
18. Performance of motor imagery brain-computer interface based on anodal transcranial direct current stimulation modulation.
Wei P; He W; Zhou Y; Wang L
IEEE Trans Neural Syst Rehabil Eng; 2013 May; 21(3):404-15. PubMed ID: 23475381
[TBL] [Abstract][Full Text] [Related]
19. Improving motor imagery through a mirror box for BCI users.
Gómez DMC; Braidot AAA
J Neurophysiol; 2024 May; 131(5):832-841. PubMed ID: 38323330
[TBL] [Abstract][Full Text] [Related]
20. The comparison of motor learning performance with and without feedback.
Orand A; Ushiba J; Tomita Y; Honda S
Somatosens Mot Res; 2012; 29(3):103-10. PubMed ID: 22746218
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]