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The Relationship between Expressive Language Sampling and Clinical Measures in Fragile X Syndrome and Typical Development.
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In: Brain sciences, vol 10, iss 2 (2020)
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42 |
Artificial intelligence approaches to predicting and detecting cognitive decline in older adults: A conceptual review.
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43 |
Thalamo-cortical network hyperconnectivity in preclinical progranulin mutation carriers.
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44 |
Physiological, behavioral and subjective sadness reactivity in frontotemporal dementia subtypes.
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In: Social cognitive and affective neuroscience, vol 14, iss 12 (2019)
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45 |
Factors that predict diagnostic stability in neurodegenerative dementia.
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In: Journal of neurology, vol 266, iss 8 (2019)
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46 |
Relationship Turmoil and Emotional Empathy in Frontotemporal Dementia.
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In: Alzheimer disease and associated disorders, vol 33, iss 3 (2019)
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47 |
Divergent patterns of loss of interpersonal warmth in frontotemporal dementia syndromes are predicted by altered intrinsic network connectivity.
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48 |
Thalamo-cortical network hyperconnectivity in preclinical progranulin mutation carriers.
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49 |
Cortical developmental abnormalities in logopenic variant primary progressive aphasia with dyslexia.
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In: Brain communications, vol 1, iss 1 (2019)
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50 |
Divergent patterns of loss of interpersonal warmth in frontotemporal dementia syndromes are predicted by altered intrinsic network connectivity.
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51 |
Physiological, behavioral and subjective sadness reactivity in frontotemporal dementia subtypes.
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In: Social cognitive and affective neuroscience, vol 14, iss 12 (2019)
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52 |
Cortical encoding and decoding models of speech production
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Abstract:
To speak is to dynamically orchestrate the movements of the articulators (jaw, tongue, lips, and larynx), which in turn generate speech sounds. It is an amazing mental and motor feat that is controlled by the brain and is fundamental for communication. Technology that could translate brain signals into speech would be transformative for people who are unable to communicate as a result of neurological impairments. This work first investigates how articulator movements that underlie natural speech production are represented in the brain. Building upon this, this work also presents a neural decoder that can synthesize audible speech from brain signals. Data to support these results were from direct cortical recordings of the human sensorimotor cortex while participants spoke natural sentences. Neural activity at individual electrodes encoded a diversity of articulatory kinematic trajectories (AKTs), each revealing coordinated articulator movements towards specific vocal tract shapes. The neural decoder was designed to leverage the kinematic trajectories encoded in the sensorimotor cortex which enhanced performance even with limited data. In closed vocabulary tests, listeners could readily identify and transcribe speech synthesized from cortical activity. These findings advance the clinical viability of using speech neuroprosthetic technology to restore spoken communication.
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Keyword:
brain; machine learning; Neurosciences; production; sensorimotor cortex; speech; vocal tract
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URL: https://escholarship.org/uc/item/04p2q0wh
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53 |
Neural correlates of abnormal auditory feedback processing during speech production in Alzheimer's disease.
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In: Scientific reports, vol 9, iss 1 (2019)
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54 |
Neural correlates of abnormal auditory feedback processing during speech production in Alzheimer's disease.
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In: Scientific reports, vol 9, iss 1 (2019)
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55 |
Relationships Between Domain-Specific Cognition and Regional Brain Structure in a Typically Developing Cohort
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56 |
Linguistic and Cultural Acceptability of a Spanish Translation of the Ohio State University Traumatic Brain Injury Identification Method Among Community-Dwelling Spanish-Dominant Older Adults.
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In: Archives of rehabilitation research and clinical translation, vol 1, iss 3-4 (2019)
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57 |
Muggle or magical?: Electrophysiological investigations of variation in the language-knowledge interface during reading
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58 |
A Randomized Controlled Trial of Sertraline in Young Children With Autism Spectrum Disorder.
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59 |
Pathogenic variants in USP7 cause a neurodevelopmental disorder with speech delays, altered behavior, and neurologic anomalies.
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In: Genetics in medicine : official journal of the American College of Medical Genetics, vol 21, iss 8 (2019)
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A Randomized Controlled Trial of Sertraline in Young Children With Autism Spectrum Disorder.
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