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Peripheral Sensory Function Enhanced Using Stochastic Noise Stimulation
Author(s) -
Serrador Jorge,
O'Laighin Gearóid,
McIntosh Caroline,
O'Tuathail Claire,
Quinlan Leo R,
Dinneen Sean F,
Breen Paul
Publication year - 2012
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.26.1_supplement.865.15
Subject(s) - sensory system , sensation , stimulation , peripheral , ankle , medicine , sensory stimulation therapy , physical medicine and rehabilitation , sensory threshold , tibial nerve , peripheral neuropathy , neuroscience , noise (video) , perception , audiology , psychology , anatomy , computer science , diabetes mellitus , artificial intelligence , image (mathematics) , endocrinology , cognitive science
Peripheral neuropathy is common with both aging and disease. This sensory loss can impair the ability to feel trauma or forces during gait increasing the risk of falling, tissue damage, foot ulceration and amputation. We hypothesized that we could improve peripheral tactile sensation in the entire plantar aspect of the foot by applying subsensory electrical noise stimulation to the sensory nerve supplying this area. We applied imperceptible levels of electrical stochastic noise stimulation to a region of the tibial nerve above the ankle. Vibrotactile perception improved in both young and older individuals despite age related neuropathy in the older group. Both groups improved ~16% despite differences in baseline levels. All sites tested showed improvement, indicating that all sensory neurons on the plantar aspect of the foot and travelling down the tibial nerve were affected to a comparable degree. These are the first data to demonstrate that modulation of axon properties with applied electrical noise can improve neural transmission and perception of tactile stimuli. We suggest that the improvement in perception is due to changes in neural synchrony, a hypothesis that is supported by a developed computational model. Currently there are no treatment options for loss of sensory function and this work may have significant implications in the development of treatment models for neurodegenerative conditions.