‘Neuroprosthesis for decoding speech in a paralyzed person with anarthria’ with David Moses and Jessie Liu
08/06/21 • 66 min
In this episode, I talk with David Moses and Jessie Liu about their recent NEJM paper ‘Neuroprosthesis for decoding speech in a paralyzed person with anarthria’, in which they decoded intended utterances from the brain of an individual with anarthria using an electrode array implanted of sensorimotor cortex and machine learning.
Moses DA, Metzger SL, Liu JR, et al. Neuroprosthesis for decoding speech in a paralyzed person with anarthria. N Eng J Med 2021; 385: 217-27. [doi]
Related papers:
Bouchard KE, Mesgarani N, Johnson K, Chang EF. Functional organization of human sensorimotor cortex for speech articulation. Nature 2013; 495: 327-32. [doi]
Chartier J, Anumanchipalli GK, Johnson K, Chang EF. Encoding of articulatory kinematic trajectories in human speech sensorimotor cortex. Neuron 2018; 98: 1042-54. [doi]
Anumanchipalli GK, Chartier J, Chang EF. Speech synthesis from neural decoding of spoken sentences. Nature 2019; 568: 493-8. [doi]
Moses DA, Leonard MK, Makin JG, Chang EF. Real-time decoding of question-and-answer speech dialogue using human cortical activity. Nat Commun 2019; 10: 3096. [doi]
Makin JG, Moses DA, Chang EF. Machine translation of cortical activity to text with an encoder–decoder framework. Nat Neurosci 2020; 23: 575-82. [doi]
In this episode, I talk with David Moses and Jessie Liu about their recent NEJM paper ‘Neuroprosthesis for decoding speech in a paralyzed person with anarthria’, in which they decoded intended utterances from the brain of an individual with anarthria using an electrode array implanted of sensorimotor cortex and machine learning.
Moses DA, Metzger SL, Liu JR, et al. Neuroprosthesis for decoding speech in a paralyzed person with anarthria. N Eng J Med 2021; 385: 217-27. [doi]
Related papers:
Bouchard KE, Mesgarani N, Johnson K, Chang EF. Functional organization of human sensorimotor cortex for speech articulation. Nature 2013; 495: 327-32. [doi]
Chartier J, Anumanchipalli GK, Johnson K, Chang EF. Encoding of articulatory kinematic trajectories in human speech sensorimotor cortex. Neuron 2018; 98: 1042-54. [doi]
Anumanchipalli GK, Chartier J, Chang EF. Speech synthesis from neural decoding of spoken sentences. Nature 2019; 568: 493-8. [doi]
Moses DA, Leonard MK, Makin JG, Chang EF. Real-time decoding of question-and-answer speech dialogue using human cortical activity. Nat Commun 2019; 10: 3096. [doi]
Makin JG, Moses DA, Chang EF. Machine translation of cortical activity to text with an encoder–decoder framework. Nat Neurosci 2020; 23: 575-82. [doi]
Previous Episode
Neuromodulation with Roy Hamilton
In this episode, I talk with Roy Hamilton, Associate Professor of Neurology at the University of Pennsylvania, about his work using transcranial magnetic stimulation (TMS) and transcranial direct current stimulation (TDCS), and in particular the application of these neuromodulatory techniques to enhance recovery from aphasia.
Laboratory for Cognition and Neural Stimulation
Penn Brain Science, Translation, Innovation, and Modulation Center
Hamilton RH, Pascual-Leone A. Cortical plasticity associated with Braille learning. Trends Cogn Sci 1998; 2: 168-174. [doi]
Naeser MA, Martin PI, Treglia E, Ho M, Kaplan E, Bashir S, Hamilton R, Coslett HB, Pascual-Leone A. Research with rTMS in the treatment of aphasia. Restor Neurol Neurosci 2010; 28: 511-529. [doi]
Hamilton RH, Chrysikou EG, Coslett B. Mechanisms of aphasia recovery after stroke and the role of noninvasive brain stimulation. Brain Lang 2011; 118): 40-50. [doi]
Price AR, Peelle JE, Bonner MF, Grossman M, Hamilton RH. Causal evidence for a mechanism of semantic integration in the angular gyrus as revealed by high-definition transcranial direct current stimulation. J Neurosci 2016; 36: 3829-3838. [doi]
Carr RM, Lane-Fall MB, South E, Brady D, Momplaisir F, Guerra CE, Montoya-Williams D, Dalembert G, Lavizzo-Mourey R, Hamilton R. Academic careers and the COVID-19 pandemic: Reversing the tide. Sci Transl Med 2021; 13: eabe7189. [doi]
Next Episode
Neurotypology, predictive coding, and dorsal and ventral streams, with Ina Bornkessel-Schlesewsky
In this episode, I talk with Ina Bornkessel-Schlesewsky, Professor of Cognitive Neuroscience at the University of South Australia, about neurotypology, predictive coding, and dorsal and ventral streams.
Bornkessel-Schlesewsky lab website
Bornkessel I, Zysset S, Friederici AD, Von Cramon DY, Schlesewsky M. Who did what to whom? The neural basis of argument hierarchies during language comprehension. NeuroImage 2005; 26: 221-33. [doi]
Bornkessel-Schlesewsky I, Schlesewsky M. Reconciling time, space and function: a new dorsal-ventral stream model of sentence comprehension. Brain Lang 2013; 125: 60-76. [doi]
Bornkessel-Schlesewsky I, Schlesewsky M, Small SL, Rauschecker JP. Neurobiological roots of language in primate audition: common computational properties. Trends Cogn Sci 2015; 19: 142-50. [doi]
Bornkessel-Schlesewsky I, Schlesewsky M. Toward a neurobiologically plausible model of language-related, negative event-related potentials. Front Psychol 2019; 10: 298. [doi]
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