title: A minimally invasive displacement sensor for measuring brain micromotion in 3D with nanometer scale resolution.
abstract: Electrophysiological recordings from a single or population of neurons are currently the standard method for investigating neural mechanisms with high spatio-temporal resolution. It is often difficult or even impossible to obtain stable recordings because of brain movements generated by the cardiac and respiratory functions and/or motor activity. An alternative approach to extensive surgical procedures aimed to reduce these movements would be to develop a control system capable of compensating the relative movement between the recording site and the electrode. As a first step towards such a system, an accurate method capable of measuring brain micromotion, preferably in 3D, in a non-invasive manner is required. A wide variety of technical solutions exist for displacement measurement. However, increased sensitivity in the measurement is often accompanied by strict limitations to sensor handling, implementation and external environment. In addition, majority of the current methods are limited to measurement along only one axis. We present a novel, minimally invasive, 3D displacement sensor with displacement resolution exceeding 70 nm along each axis. The sensor is based on optoelectronic detection of movements of a spring-like element with three degrees of freedom. It is remarkably compact with needle-like probe and can be packaged to withstand considerable mishandling, which allow easy implementation to existing measurement systems. We quantify the sensor performance and demonstrate its capabilities with an in vivo measurement of blowfly brain micromotion in a preparation commonly used for electrophysiology.
authors.affiliation: Department of Physical Sciences, Division of Biophysics and BioCenter Oulu, University of Oulu, P.O. BOX 3000, Oulun yliopisto 90014, Finland. mikko.vahasoyrinki@oulu.fi
authors.forename: Mikko
authors.initials: M
authors.lastname: Vähäsöyrinki
authors.forename: Tuomas
authors.initials: T
authors.lastname: Tuukkanen
authors.forename: Hannu
authors.initials: H
authors.lastname: Sorvoja
authors.forename: Marko
authors.initials: M
authors.lastname: Pudas
mesh_terms: D000818:Animals; D016477:Artifacts; D015374:Biosensing Techniques / Q000295:instrumentation* / Q000379:methods; D001921:Brain / Q000033:anatomy & histology / Q000502:physiology*; D004175:Diptera; D004566:Electrodes; D004581:Electronics / Q000295:instrumentation / Q000379:methods; D004594:Electrophysiology / Q000295:instrumentation* / Q000379:methods; D008853:Microscopy / Q000295:instrumentation / Q000379:methods; D019060:Minimally Invasive Surgical Procedures / Q000295:instrumentation / Q000379:methods; D009039:Motion Perception / Q000502:physiology*; D009482:Neurophysiology / Q000295:instrumentation* / Q000379:methods; D055095:Optics and Photonics / Q000295:instrumentation / Q000379:methods; D010363:Pattern Recognition, Automated / Q000379:methods*; D012149:Restraint, Physical / Q000295:instrumentation / Q000379:methods