Editorial: new advanced wireless technologies for objective monitoring of motor symptoms in Parkinson's disease

Nowadays, a growing number of researchers is using advanced wearable technologies with inertial measurement units (IMUs) to improve the evaluation of motor symptoms in patients with Parkinson’s Disease (PD). In this contest, wearable sensors are promising technologies possibly helpful for the overall clinical management of PD. The present Research Topic entitled “New Advanced Wireless Technologies for Objective Monitoring of Motor Symptoms in Parkinson's Disease” explores advances and perspectives of new wearable devices applied to patients with PD in order to support the clinical assessment with objective methods. The eleven manuscripts included in this Research Topic deal with the evaluation of a wide range of motor symptoms in patients with PD, including the classical cardinal signs such as bradykinesia, rigidity, tremor, postural instability and disabling gait disorders such as Freezing of Gait (FOG). FOG significantly increases the risk of falls in patients with PD, resulting in a negative impact on quality of life

New advanced wireless technologies for objective monitoring of motor symptoms in parkinson's disease

Edition of a Research topic of Frontiers in Neurology with 12 reviewed and accepted original papersPeer ReviewedPostprint (published version

Multisite recording of extracellular potentials produced by microchannel-confined neurons in-vitro

Towards establishing electrical interfaces with patterned in vitro neurons, we have previously described the fabrication of hybrid elastomer-glass devices polymer-on-multielectrode array technology and obtained single-electrode recordings of extracellular potentials from confined neurons (Claverol-Tinturé et al., 2005). Here, we demonstrate the feasibility of spatially localized multisite recordings from individual microchannel-guided neurites extending from microwell-confined somas with good signal-to-noise ratios (20 dB) and spike magnitudes of up to 300 μV. Single-cell current source density (scCSD) analysis of the spatio-temporal patterns of membrane currents along individual processes is illustrated.Peer Reviewe