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2024
Blenkmann AOmar, Leske SLiliana, Llorens A, Lin JJ, Chang EF, Brunner P, et al.. Anatomical registration of intracranial electrodes. Robust model-based localization and deformable smooth brain-shift compensation methods. J Neurosci Methods. 2024;404:110056.
Trevino G, Lee JJ, Shimony JS, Luckett PH, Leuthardt EC. Complexity organization of resting-state functional-MRI networks. Hum Brain Mapp. 2024;45(12):e26809.
Xie T, Adamek M, Cho H, Adamo MA, Ritaccio AL, Willie JT, et al.. Graded decisions in the human brain. Nat Commun. 2024;15(1):4308.
Putzolu M, Samogin J, Bonassi G, Cosentino C, Mezzarobba S, Botta A, et al.. Motor imagery ability scores are related to cortical activation during gait imagery. Sci Rep. 2024;14(1):5207.
Blanpain LT, Cole ER, Chen E, Park JK, Walelign MY, Gross RE, et al.. Multisensory flicker modulates widespread brain networks and reduces interictal epileptiform discharges. Nat Commun. 2024;15(1):3156.
Cho H, Adamek M, Willie JT, Brunner P. Novel cyclic homogeneous oscillation detection method for high accuracy and specific characterization of neural dynamics. Elife. 2024;12.
Park KYun, Shimony JS, Chakrabarty S, Tanenbaum AB, Hacker CD, Donovan KM, et al.. Optimal approaches to analyzing functional MRI data in glioma patients. J Neurosci Methods. 2024;402:110011.
Luckett PH, Olufawo MO, Park KYun, Lamichhane B, Dierker D, Verastegui GTrevino, et al.. Predicting post-surgical functional status in high-grade glioma with resting state fMRI and machine learning. J Neurooncol. 2024;169(1):175-185.
2011
Gomez-Rodriguez M, Peters J, Jeremy Jeremy Hill, Schölkopf B, Gharabaghi A, Grosse-Wentrup M. Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imagery. J Neural Eng [Internet]. 2011;8(3):036005. http://www.ncbi.nlm.nih.gov/pubmed/21474878PDF icon Closing the sensorimotor loop haptic feedback facilitates decoding of motor imagery.pdf (1.81 MB)
Brunner P, Bianchi L, Guger C, Cincotti F, Schalk G. Current Trends in Hardware and Software for Brain-Computer Interfaces (BCIs). J Neural Eng [Internet]. 2011;8(2):025001. http://www.ncbi.nlm.nih.gov/pubmed/21436536PDF icon Current trends in hardware and software for brain–computer interfaces (BCIs).pdf (0 bytes)
Pei X-M, Barbour DL, Leuthardt EC, Schalk G. Decoding vowels and consonants in spoken and imagined words using electrocorticographic signals in humans. J Neural Eng [Internet]. 2011;8(4):046028. http://www.ncbi.nlm.nih.gov/pubmed/21750369PDF icon Decoding vowels and consonants in spoken and imagined words using electrocorticographic signals in humans.pdf (0 bytes)
Ritaccio AL, Boatman-Reich D, Brunner P, Cervenka MC, Cole AJ, Crone NE, et al.. Proceedings of the Second International Workshop on Advances in Electrocorticography. Epilepsy Behav [Internet]. 2011;22(4):641-50. http://www.ncbi.nlm.nih.gov/pubmed/22036287PDF icon Proceedings of the Second International Workshop on Advances in Electrocorticography.pdf (0 bytes)
Pei X-M, Leuthardt EC, Gaona CM, Brunner P, Wolpaw J, Schalk G. Spatiotemporal dynamics of electrocorticographic high gamma activity during overt and covert word repetition. Neuroimage [Internet]. 2011;54(4):2960-72. http://www.ncbi.nlm.nih.gov/pubmed/21029784PDF icon Spatiotemporal dynamics of electrocorticographic high gamma activity during overt and covert word repetition.pdf (0 bytes)
Brunner P, Schalk G. Toward a gaze-independent matrix speller brain-computer interface. Clin Neurophysiol [Internet]. 2011;122(6):1063-4. http://www.ncbi.nlm.nih.gov/pubmed/21183404PDF icon Toward a gaze-independent matrix speller brain-computer interface.pdf (0 bytes)
Murguialday RA, Jeremy Jeremy Hill, Bensch M, Martens SMM, Halder S, Nijboer F, Birbaumer N, et al.. Transition from the locked in to the completely locked-in state: a physiological analysis. Clin Neurophysiol [Internet]. 2011;122(5):925-33. http://www.ncbi.nlm.nih.gov/pubmed/20888292PDF icon Transition from the locked in to the completely locked-in state a physiological analysis.pdf (1.46 MB)
Leuthardt EC, Gaona CM, Sharma M, Szrama N, Roland J, Freudenberg ZV, et al.. Using the electrocorticographic speech network to control a brain-computer interface in humans. J Neural Eng [Internet]. 2011;8(3):036004. http://www.ncbi.nlm.nih.gov/pubmed/21471638PDF icon Using the Electrocorticographic Speech Network to Control a Brain-Computer Interface in Humans.pdf (0 bytes)

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