J 2021

Contemporary clinical neurophysiology applications in dystonia

KANOVSKY, Petr, Raymond ROSALES, Pavel OTRUBA, Martin NEVRLY, Lenka HVIZDOSOVA et. al.

Basic information

Original name

Contemporary clinical neurophysiology applications in dystonia

Authors

KANOVSKY, Petr (203 Czech Republic, guarantor), Raymond ROSALES, Pavel OTRUBA (203 Czech Republic), Martin NEVRLY (203 Czech Republic), Lenka HVIZDOSOVA (203 Czech Republic), Robert OPAVSKY (203 Czech Republic), Michaela KAISEROVA (203 Czech Republic), Pavel HOK (203 Czech Republic), Katerina MENSIKOVA (203 Czech Republic), Petr HLUSTIK (203 Czech Republic) and Martin BAREŠ (203 Czech Republic, belonging to the institution)

Edition

Journal of Neural Transmission, WIEN, SPRINGER WIEN, 2021, 0300-9564

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30210 Clinical neurology

Country of publisher

Austria

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 3.850

RIV identification code

RIV/00216224:14110/21:00121775

Organization unit

Faculty of Medicine

UT WoS

000618593300001

Keywords in English

Dystonia; Neurophysiology; Network disorder; Brain plasticity

Tags

Změněno: 15/6/2021 09:44, Mgr. Tereza Miškechová

Abstract

V originále

The complex phenomenological understanding of dystonia has transcended from the clinics to genetics, imaging and neurophysiology. One way in which electrophysiology will impact into the clinics are cases wherein a dystonic clinical presentation may not be typical or a "forme fruste" of the disorder. Indeed, the physiological imprints of dystonia are present regardless of its clinical manifestation. Underpinnings in the understanding of dystonia span from the peripheral, segmental and suprasegmental levels to the cortex, and various electrophysiological tests have been applied in the course of time to elucidate the origin of dystonia pathophysiology. While loss of inhibition remains to be the key finding in this regard, intricacies and variabilities exist, thus leading to a notion that perhaps dystonia should best be gleaned as network disorder. Interestingly, the complex process has now spanned towards the understanding in terms of networks related to the cerebellar circuitry and the neuroplasticity. What is evolving towards a better and cohesive view will be neurophysiology attributes combined with structural dynamic imaging. Such a sound approach will significantly lead to better therapeutic modalities in the future.