Title |
Acoustic neuromodulation from a basic science prospective
|
---|---|
Published in |
Journal of Therapeutic Ultrasound, May 2016
|
DOI | 10.1186/s40349-016-0061-z |
Pubmed ID | |
Authors |
Elisabetta Sassaroli, Natalia Vykhodtseva |
Abstract |
We present here biophysical models to gain deeper insights into how an acoustic stimulus might influence or modulate neuronal activity. There is clear evidence that neural activity is not only associated with electrical and chemical changes but that an electro-mechanical coupling is also involved. Currently, there is no theory that unifies the electrical, chemical, and mechanical aspects of neuronal activity. Here, we discuss biophysical models and hypotheses that can explain some of the mechanical aspects associated with neuronal activity: the soliton model, the neuronal intramembrane cavitation excitation model, and the flexoelectricity hypothesis. We analyze these models and discuss their implications on stimulation and modulation of neuronal activity by ultrasound. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 33% |
India | 1 | 17% |
Netherlands | 1 | 17% |
United States | 1 | 17% |
Switzerland | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 50% |
Scientists | 2 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 1% |
Italy | 1 | <1% |
Unknown | 166 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 43 | 25% |
Student > Master | 23 | 14% |
Researcher | 22 | 13% |
Student > Bachelor | 20 | 12% |
Professor | 7 | 4% |
Other | 26 | 15% |
Unknown | 28 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 53 | 31% |
Neuroscience | 26 | 15% |
Agricultural and Biological Sciences | 15 | 9% |
Medicine and Dentistry | 12 | 7% |
Physics and Astronomy | 11 | 7% |
Other | 19 | 11% |
Unknown | 33 | 20% |