249 related articles for article (PubMed ID: 31693928)
1. Using fMRI to investigate the potential cause of inverse oxygenation reported in fNIRS studies of motor imagery.
Abdalmalak A; Milej D; Cohen DJ; Anazodo U; Ssali T; Diop M; Owen AM; St Lawrence K
Neurosci Lett; 2020 Jan; 714():134607. PubMed ID: 31693928
[TBL] [Abstract][Full Text] [Related]
2. Understanding inverse oxygenation responses during motor imagery: a functional near-infrared spectroscopy study.
Holper L; Shalóm DE; Wolf M; Sigman M
Eur J Neurosci; 2011 Jun; 33(12):2318-28. PubMed ID: 21631608
[TBL] [Abstract][Full Text] [Related]
3. Effective Connectivity of Cortical Sensorimotor Networks During Finger Movement Tasks: A Simultaneous fNIRS, fMRI, EEG Study.
Anwar AR; Muthalib M; Perrey S; Galka A; Granert O; Wolff S; Heute U; Deuschl G; Raethjen J; Muthuraman M
Brain Topogr; 2016 Sep; 29(5):645-60. PubMed ID: 27438589
[TBL] [Abstract][Full Text] [Related]
4. Motor imagery in response to fake feedback measured by functional near-infrared spectroscopy.
Holper L; Wolf M
Neuroimage; 2010 Mar; 50(1):190-7. PubMed ID: 20026278
[TBL] [Abstract][Full Text] [Related]
5. A hybrid BCI based on EEG and fNIRS signals improves the performance of decoding motor imagery of both force and speed of hand clenching.
Yin X; Xu B; Jiang C; Fu Y; Wang Z; Li H; Shi G
J Neural Eng; 2015 Jun; 12(3):036004. PubMed ID: 25834118
[TBL] [Abstract][Full Text] [Related]
6. Detection of motor execution using a hybrid fNIRS-biosignal BCI: a feasibility study.
Zimmermann R; Marchal-Crespo L; Edelmann J; Lambercy O; Fluet MC; Riener R; Wolf M; Gassert R
J Neuroeng Rehabil; 2013 Jan; 10():4. PubMed ID: 23336819
[TBL] [Abstract][Full Text] [Related]
7. Spatio-temporal differences in brain oxygenation between movement execution and imagery: a multichannel near-infrared spectroscopy study.
Wriessnegger SC; Kurzmann J; Neuper C
Int J Psychophysiol; 2008 Jan; 67(1):54-63. PubMed ID: 18006099
[TBL] [Abstract][Full Text] [Related]
8. fMRI-based validation of continuous-wave fNIRS of supplementary motor area activation during motor execution and motor imagery.
Klein F; Debener S; Witt K; Kranczioch C
Sci Rep; 2022 Mar; 12(1):3570. PubMed ID: 35246563
[TBL] [Abstract][Full Text] [Related]
9. Classification of motor imagery and execution signals with population-level feature sets: implications for probe design in fNIRS based BCI.
Erdoĝan SB; Özsarfati E; Dilek B; Kadak KS; Hanoĝlu L; Akın A
J Neural Eng; 2019 Apr; 16(2):026029. PubMed ID: 30634177
[TBL] [Abstract][Full Text] [Related]
10. Classification of prefrontal and motor cortex signals for three-class fNIRS-BCI.
Hong KS; Naseer N; Kim YH
Neurosci Lett; 2015 Feb; 587():87-92. PubMed ID: 25529197
[TBL] [Abstract][Full Text] [Related]
11. Cortical effects of user training in a motor imagery based brain-computer interface measured by fNIRS and EEG.
Kaiser V; Bauernfeind G; Kreilinger A; Kaufmann T; Kübler A; Neuper C; Müller-Putz GR
Neuroimage; 2014 Jan; 85 Pt 1():432-44. PubMed ID: 23651839
[TBL] [Abstract][Full Text] [Related]
12. Multimodal assessment of the spatial correspondence between fNIRS and fMRI hemodynamic responses in motor tasks.
Pereira J; Direito B; Lührs M; Castelo-Branco M; Sousa T
Sci Rep; 2023 Feb; 13(1):2244. PubMed ID: 36755139
[TBL] [Abstract][Full Text] [Related]
13. Evaluating a four-class motor-imagery-based optical brain-computer interface.
Batula AM; Ayaz H; Kim YE
Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():2000-3. PubMed ID: 25570375
[TBL] [Abstract][Full Text] [Related]
14. A semi-immersive virtual reality incremental swing balance task activates prefrontal cortex: a functional near-infrared spectroscopy study.
Basso Moro S; Bisconti S; Muthalib M; Spezialetti M; Cutini S; Ferrari M; Placidi G; Quaresima V
Neuroimage; 2014 Jan; 85 Pt 1():451-60. PubMed ID: 23684867
[TBL] [Abstract][Full Text] [Related]
15. Motor Cortex Activation During Writing in Focal Upper-Limb Dystonia: An fNIRS Study.
Prôa R; Balardin J; de Faria DD; Paulo AM; Sato JR; Baltazar CA; Borges V; Azevedo Silva SMC; Ferraz HB; de Carvalho Aguiar P
Neurorehabil Neural Repair; 2021 Aug; 35(8):729-737. PubMed ID: 34047233
[TBL] [Abstract][Full Text] [Related]
16. Limb linkage rehabilitation training-related changes in cortical activation and effective connectivity after stroke: A functional near-infrared spectroscopy study.
Huo C; Xu G; Li Z; Lv Z; Liu Q; Li W; Ma H; Wang D; Fan Y
Sci Rep; 2019 Apr; 9(1):6226. PubMed ID: 30996244
[TBL] [Abstract][Full Text] [Related]
17. Application of a common spatial pattern-based algorithm for an fNIRS-based motor imagery brain-computer interface.
Zhang S; Zheng Y; Wang D; Wang L; Ma J; Zhang J; Xu W; Li D; Zhang D
Neurosci Lett; 2017 Aug; 655():35-40. PubMed ID: 28663052
[TBL] [Abstract][Full Text] [Related]
18. Deep learning for hybrid EEG-fNIRS brain-computer interface: application to motor imagery classification.
Chiarelli AM; Croce P; Merla A; Zappasodi F
J Neural Eng; 2018 Jun; 15(3):036028. PubMed ID: 29446352
[TBL] [Abstract][Full Text] [Related]
19. Cooperation in mind: Motor imagery of joint and single actions is represented in different brain areas.
Wriessnegger SC; Steyrl D; Koschutnig K; Müller-Putz GR
Brain Cogn; 2016 Nov; 109():19-25. PubMed ID: 27632555
[TBL] [Abstract][Full Text] [Related]
20. Toward Comparison of Cortical Activation with Different Motor Learning Methods Using Event-Related Design: EEG-fNIRS Study.
Jeong H; Song M; Oh S; Kim J; Kim J
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():6339-6342. PubMed ID: 31947292
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
