1. Visual cortex entrains to sign language
- Author
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Susan Goldin-Meadow, Geoffrey Brookshire, Jenny Lu, Daniel Casasanto, and Howard C. Nusbaum
- Subjects
0301 basic medicine ,Auditory perception ,Adult ,Male ,Visual perception ,Speech perception ,American Sign Language ,genetic structures ,Speech recognition ,Video Recording ,Sign language ,Auditory cortex ,03 medical and health sciences ,Sign Language ,Young Adult ,0302 clinical medicine ,Stimulus modality ,medicine ,Humans ,Visual Cortex ,Cerebral Cortex ,Multidisciplinary ,Language Tests ,Electroencephalography ,Biological Sciences ,language.human_language ,Electrophysiological Phenomena ,030104 developmental biology ,Visual cortex ,medicine.anatomical_structure ,language ,Visual Perception ,Female ,Psychology ,030217 neurology & neurosurgery ,Photic Stimulation ,Cognitive psychology - Abstract
Despite immense variability across languages, people can learn to understand any human language, spoken or signed. What neural mechanisms allow people to comprehend language across sensory modalities? When people listen to speech, electrophysiological oscillations in auditory cortex entrain to slow ([Formula: see text]8 Hz) fluctuations in the acoustic envelope. Entrainment to the speech envelope may reflect mechanisms specialized for auditory perception. Alternatively, flexible entrainment may be a general-purpose cortical mechanism that optimizes sensitivity to rhythmic information regardless of modality. Here, we test these proposals by examining cortical coherence to visual information in sign language. First, we develop a metric to quantify visual change over time. We find quasiperiodic fluctuations in sign language, characterized by lower frequencies than fluctuations in speech. Next, we test for entrainment of neural oscillations to visual change in sign language, using electroencephalography (EEG) in fluent speakers of American Sign Language (ASL) as they watch videos in ASL. We find significant cortical entrainment to visual oscillations in sign language
- Published
- 2017