Aasted CM, Yücel MA, Cooper RJ, Dubb J, Tsuzuki D, Becerra L, Petkov MP, Borsook D, Dan I, Boas sDA (2015) Anatomical guidance for functional near-infrared spectroscopy: atlasviewer tutorial. Neurophotonics 2(2):020801. https://doi.org/10.1117/1.nph.2.2.020801

Article  PubMed  PubMed Central  Google Scholar 

Anderson KL, Ding M (2011) Attentional modulation of the somatosensory mu rhythm. Neuroscience 180:165–180. https://doi.org/10.1016/S1388-2457(99)00141-8

Article  PubMed  CAS  Google Scholar 

Ang KK, Guan C, Chua KSG, Ang BT, Kuah CWK, Wang C, Phua KS, Chin ZY, Zhang H (2011) A large clinical study on the ability of stroke patients to use an EEG-based motor imagery brain-computer interface. Clin EEG Neurosci 42(4):253–258. https://doi.org/10.1177/155005941104200411

Article  PubMed  Google Scholar 

Bashford L, Rosenthal I, Kellis S, Pejsa K, Kramer D, Lee B, Liu C, Andersen RA (2021) The neurophysiological representation of imagined somatosensory percepts in human cortex. J Neurosci 41(10):2177–2185. https://doi.org/10.1523/jneurosci.2460-20.2021

Article  PubMed  PubMed Central  CAS  Google Scholar 

Batula AM, Mark JA, Kim YE, Ayaz H (2017) Comparison of brain activation during motor imagery and motor movement using fNIRS. Comput Intell Neurosci. https://doi.org/10.1155/2017/5491296

Article  PubMed  PubMed Central  Google Scholar 

Blankertz B, Sannelli C, Halder S, Hammer EM, Kübler A, Müller KR, Curio G, Dickhaus T (2010) Neurophysiological predictor of SMR-based BCI performance. Neuroimage 51(4):1303–1309

Bonaiuto JJ, Meyer SS, Little S, Rossiter H, Callaghan MF, Dick F, Bestmann S (2018) Lamina-specific cortical dynamics in human visual and sensorimotor cortices. Elife 7:e33977. https://doi.org/10.7554/eLife.33977

Article  PubMed  PubMed Central  Google Scholar 

Chiarelli AM, Croce P, Merla A, Zappasodi F (2018) Deep learning for hybrid EEG-fNIRS brain–computer interface: application to motor imagery classification. J Neural Eng 15(3):036028. https://doi.org/10.1088/1741-2552/aaaf82

Article  PubMed  Google Scholar 

Cruikshank SJ, Lewis TJ, Connors BW (2007) Synaptic basis for intense thalamocortical activation of feedforward inhibitory cells in neocortex. Nat Neurosci 10(4):462–468. https://doi.org/10.1038/nn1861

Article  PubMed  CAS  Google Scholar 

Cui X, Bray S, Reiss AL (2009) Functional near infrared spectroscopy (NIRS) signal improvement based on negative correlation between oxygenated and deoxygenated hemoglobin dynamics. Neuroimage 49(4):3039–3046. https://doi.org/10.1016/j.neuroimage.2009.11.050

Article  PubMed  CAS  Google Scholar 

Fantini S, Frederick B, Sassaroli A (2018) Perspective: prospects of non-invasive sensing of the human brain with diffuse optical imaging. APL Photonics. https://doi.org/10.1063/1.5038571

Article  PubMed  PubMed Central  Google Scholar 

Fazli S, Mehnert J, Steinbrink J, Curio G, Villringer A, Müller KR, Blankertz B (2012) Enhanced performance by a hybrid NIRS -EEG brain computer interface. Neuroimage 59(1):519–529

Fishburn FA, Ludlum RS, Vaidya CJ, Medvedev AV (2019) Temporal derivative distribution repair (TDDR): a motion correction method for fNIRS. Neuroimage 184:171–179. https://doi.org/10.1016/j.neuroimage.2018.09.025

Article  PubMed  Google Scholar 

Frolov AA, Husek D, Bobrov PD, Mokienko OA, Chernikova LA, Konovalov RN (2014) Localization of brain electrical activity sources and hemodynamic activity foci during motor imagery. Hum Physiol 40(3):273–283. https://doi.org/10.1134/s0362119714030062

Article  Google Scholar 

Ganis G, Thompson WL, Kosslyn SM (2004) Brain areas underlying visual mental imagery and visual perception: an fMRI study. Cogn Brain Res 20(2):226–241. https://doi.org/10.1016/j.cogbrainres.2004.02.012

Article  Google Scholar 

Graimann B, Huggins J, Levine S, Pfurtscheller G (2002) Visualization of significant ERD/ERS patterns in multichannel EEG and ECoG data. Clin Neurophysiol 113(1):43–47. https://doi.org/10.1016/s1388-2457(01)00697-6

Article  PubMed  CAS  Google Scholar 

Gramfort A, Luessi M, Larson E, Engemann DA, Strohmeier D, Brodbeck C, Parkkonen L, Hämäläinen MS (2013) MNE software for processing MEG and EEG data. NeuroImage 86:446–460. https://doi.org/10.1016/j.neuroimage.2013.10.027

Guillot A, Collet C, Nguyen VA, Malouin F, Richards C, Doyon J (2008) Brain activity during visual versus kinesthetic imagery: an fMRI study. Hum Brain Mapp 30(7):2157–2172. https://doi.org/10.1002/hbm.20658

Article  PubMed Central  Google Scholar 

Haegens S, Nácher V, Luna R, Romo R, Jensen O (2011) α-oscillations in the monkey sensorimotor network influence discrimination performance by rhythmical inhibition of neuronal spiking. Proc Natl Acad Sci USA 108(48):19377–19382. https://doi.org/10.1073/pnas.1117190108

Article  PubMed  PubMed Central  Google Scholar 

Hanakawa T, Immisch I, Toma K, Dimyan MA, Van Gelderen P, Hallett M (2003) Functional properties of brain areas associated with motor execution and imagery. J Neurophysiol 89(2):989–1002. https://doi.org/10.1152/jn.00132.2002

Article  PubMed  Google Scholar 

Hari R, Salmelin R, Mäkelä J, Salenius S, Helle M (1997) Magnetoencephalographic cortical rhythms. Int J Psychophysiol 26(1–3):51–62. https://doi.org/10.1016/s0167-8760(97)00755-1

Article  PubMed  CAS  Google Scholar 

Hughes SW, Crunelli V (2005) Thalamic mechanisms of EEG alpha rhythms and their pathological implications. Neuroscientist 11(4):357–372. https://doi.org/10.1177/1073858405277450

Article  PubMed  Google Scholar 

Isaev MR, Mokienko OA, Lyukmanov RK, Ikonnikova ES, Cherkasova AN, Suponeva NA, Piradov MA, Bobrov PD (2024) A multiple session dataset of NIRS recordings from stroke patients controlling brain–computer interface. Sci Data 11(1):1168. https://doi.org/10.1038/s41597-024-04012-6

Article  PubMed  PubMed Central  Google Scholar 

Jeannerod M (2001) Neural simulation of action: a unifying mechanism for motor cognition. Neuroimage 14(1):S103–S109. https://doi.org/10.1006/nimg.2001.0832

Article  PubMed  CAS  Google Scholar 

Jeannerod M, Decety J (1995) Mental motor imagery: a window into the representational stages of action. Curr Opin Neurobiol 5(6):727–732. https://doi.org/10.1016/0959-4388(95)80099-9

Article  PubMed  CAS  Google Scholar 

Kasahara K, DaSalla CS, Honda M, Hanakawa T (2015) Neuroanatomical correlates of brain–computer interface performance. Neuroimage 110:95–100. https://doi.org/10.1016/j.neuroimage.2015.01.055

Article  PubMed  Google Scholar 

Kilintari M, Narayana S, Babajani-Feremi A, Rezaie R, Papanicolaou AC (2016) Brain activation profiles during kinesthetic and visual imagery: an fMRI study. Brain Res 1646:249–261. https://doi.org/10.1016/j.brainres.2016.06.009

Article  PubMed  CAS  Google Scholar 

Kosslyn SM, Sukel KE, Bly BM (1999) Squinting with the mind’s eye: effects of stimulus resolution on imaginal and perceptual comparisons. Mem Cognit 27(2):276–287. https://doi.org/10.3758/bf03211412

Article  PubMed  CAS  Google Scholar 

Kosslyn SM, Ganis G, Thompson WL (2001) Neural foundations of imagery. Nat Rev Neurosci 2(9):635–642. https://doi.org/10.1038/35090055

Article  PubMed  CAS  Google Scholar 

Liu Y, Hernández FS, Ting F, Hyde DC (2022) Comparing fixed-array and functionally-defined channel of interest approaches to infant functional near-infrared spectroscopy data. Neuroimage 261:119520. https://doi.org/10.1016/j.neuroimage.2022.119520

Article  PubMed  Google Scholar 

Love J, Selker R, Marsman M, Jamil T, Dropmann D, Verhagen J, Wagenmakers EJ (2019) JASP: graphical statistical software for common statistical designs. J Stat Softw 88:1–17. https://doi.org/10.18637/jss.v088.i02

Article  Google Scholar 

Lyukmanov RK, Isaev MR, Mokienko OA, Bobrov PD, Ikonnikova ES, Cherkasova AN, Suponeva NA (2024) Brain–computer interface using functional near-infrared spectroscopy for post-stroke motor rehabilitation: case series. Ann Clin Exp Neurol 17(4):82–88. https://doi.org/10.54101/acen.2023.4.10

Article  Google Scholar 

Malouin F, Richards CL, Jackson PL, Lafleur MF, Durand A, Doyon J (2007)