TY - JOUR
T1 - Decoding inner speech using electrocorticography
T2 - Progress and challenges toward a speech prosthesis
AU - Martin, Stephanie
AU - Iturrate, Iñaki
AU - Millán, José del R.
AU - Knight, Robert T.
AU - Pasley, Brian N.
N1 - Publisher Copyright:
© 2018 Martin, Iturrate, Millán, Knight and Pasley.
PY - 2018/6/21
Y1 - 2018/6/21
N2 - Certain brain disorders resulting from brainstem infarcts, traumatic brain injury, cerebral palsy, stroke, and amyotrophic lateral sclerosis, limit verbal communication despite the patient being fully aware. People that cannot communicate due to neurological disorders would benefit from a system that can infer internal speech directly from brain signals. In this review article, we describe the state of the art in decoding inner speech, ranging from early acoustic sound features, to higher order speech units. We focused on intracranial recordings, as this technique allows monitoring brain activity with high spatial, temporal, and spectral resolution, and therefore is a good candidate to investigate inner speech. Despite intense efforts, investigating how the human cortex encodes inner speech remains an elusive challenge, due to the lack of behavioral and observable measures. We emphasize various challenges commonly encountered when investigating inner speech decoding, and propose potential solutions in order to get closer to a natural speech assistive device.
AB - Certain brain disorders resulting from brainstem infarcts, traumatic brain injury, cerebral palsy, stroke, and amyotrophic lateral sclerosis, limit verbal communication despite the patient being fully aware. People that cannot communicate due to neurological disorders would benefit from a system that can infer internal speech directly from brain signals. In this review article, we describe the state of the art in decoding inner speech, ranging from early acoustic sound features, to higher order speech units. We focused on intracranial recordings, as this technique allows monitoring brain activity with high spatial, temporal, and spectral resolution, and therefore is a good candidate to investigate inner speech. Despite intense efforts, investigating how the human cortex encodes inner speech remains an elusive challenge, due to the lack of behavioral and observable measures. We emphasize various challenges commonly encountered when investigating inner speech decoding, and propose potential solutions in order to get closer to a natural speech assistive device.
KW - Brain-computer interface
KW - Decoding
KW - Electrocorticography
KW - Inner speech
KW - Neuroprosthetics
UR - http://www.scopus.com/inward/record.url?scp=85048798542&partnerID=8YFLogxK
U2 - 10.3389/fnins.2018.00422
DO - 10.3389/fnins.2018.00422
M3 - Review article
AN - SCOPUS:85048798542
SN - 1662-4548
VL - 12
JO - Frontiers in Neuroscience
JF - Frontiers in Neuroscience
IS - JUN
M1 - 422
ER -