Publication

Classification of α-synuclein-induced changes in the AAV α-synuclein rat model of Parkinson's disease using electrophysiological measurements of visual processing

Ostergaard, F. G., Himmelberg, M. M., Laursen, B., Siebner, H. R., Wade, A. R. & Christensen, K. V., 17-Jul-2020, In : Scientific Reports. 10, 1, 14 p., 11869.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Ostergaard, F. G., Himmelberg, M. M., Laursen, B., Siebner, H. R., Wade, A. R., & Christensen, K. V. (2020). Classification of α-synuclein-induced changes in the AAV α-synuclein rat model of Parkinson's disease using electrophysiological measurements of visual processing. Scientific Reports, 10(1), [11869]. https://doi.org/10.1038/s41598-020-68808-3

Author

Ostergaard, Freja Gam ; Himmelberg, Marc M. ; Laursen, Bettina ; Siebner, Hartwig R. ; Wade, Alex R. ; Christensen, Kenneth Vielsted. / Classification of α-synuclein-induced changes in the AAV α-synuclein rat model of Parkinson's disease using electrophysiological measurements of visual processing. In: Scientific Reports. 2020 ; Vol. 10, No. 1.

Harvard

Ostergaard, FG, Himmelberg, MM, Laursen, B, Siebner, HR, Wade, AR & Christensen, KV 2020, 'Classification of α-synuclein-induced changes in the AAV α-synuclein rat model of Parkinson's disease using electrophysiological measurements of visual processing', Scientific Reports, vol. 10, no. 1, 11869. https://doi.org/10.1038/s41598-020-68808-3

Standard

Classification of α-synuclein-induced changes in the AAV α-synuclein rat model of Parkinson's disease using electrophysiological measurements of visual processing. / Ostergaard, Freja Gam; Himmelberg, Marc M.; Laursen, Bettina; Siebner, Hartwig R.; Wade, Alex R.; Christensen, Kenneth Vielsted.

In: Scientific Reports, Vol. 10, No. 1, 11869, 17.07.2020.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Ostergaard FG, Himmelberg MM, Laursen B, Siebner HR, Wade AR, Christensen KV. Classification of α-synuclein-induced changes in the AAV α-synuclein rat model of Parkinson's disease using electrophysiological measurements of visual processing. Scientific Reports. 2020 Jul 17;10(1). 11869. https://doi.org/10.1038/s41598-020-68808-3


BibTeX

@article{4954d0b3c6924759b8c0fa0a6d367e7d,
title = "Classification of α-synuclein-induced changes in the AAV α-synuclein rat model of Parkinson's disease using electrophysiological measurements of visual processing",
abstract = "Biomarkers suitable for early diagnosis and monitoring disease progression are the cornerstone of developing disease-modifying treatments for neurodegenerative diseases such as Parkinson{\textquoteright}s disease (PD). Besides motor complications, PD is also characterized by deficits in visual processing. Here, we investigate how virally-mediated overexpression of α-synuclein in the substantia nigra pars compacta impacts visual processing in a well-established rodent model of PD. After a unilateral injection of vector, human α-synuclein was detected in the striatum and superior colliculus (SC). In parallel, there was a significant delay in the latency of the transient VEPs from the affected side of the SC in late stages of the disease. Inhibition of leucine-rich repeat kinase using PFE360 failed to rescue the VEP delay and instead increased the latency of the VEP waveform. A support vector machine classifier accurately classified rats according to their `disease state{\textquoteright} using frequency-domain data from steady-state visual evoked potentials (SSVEP). Overall, these findings indicate that the latency of the rodent VEP is sensitive to changes mediated by the increased expression of α-synuclein and especially when full overexpression is obtained, whereas the SSVEP facilitated detection of α-synuclein across reflects all stages of PD model progression.",
keywords = "SUBSTANTIA-NIGRA, SUPERIOR COLLICULUS, EVOKED-POTENTIALS, GAIN-CONTROL, PROJECTION, PATHOLOGY, DOPAMINE",
author = "Ostergaard, {Freja Gam} and Himmelberg, {Marc M.} and Bettina Laursen and Siebner, {Hartwig R.} and Wade, {Alex R.} and Christensen, {Kenneth Vielsted}",
year = "2020",
month = jul,
day = "17",
doi = "10.1038/s41598-020-68808-3",
language = "English",
volume = "10",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",
number = "1",

}

RIS

TY - JOUR

T1 - Classification of α-synuclein-induced changes in the AAV α-synuclein rat model of Parkinson's disease using electrophysiological measurements of visual processing

AU - Ostergaard, Freja Gam

AU - Himmelberg, Marc M.

AU - Laursen, Bettina

AU - Siebner, Hartwig R.

AU - Wade, Alex R.

AU - Christensen, Kenneth Vielsted

PY - 2020/7/17

Y1 - 2020/7/17

N2 - Biomarkers suitable for early diagnosis and monitoring disease progression are the cornerstone of developing disease-modifying treatments for neurodegenerative diseases such as Parkinson’s disease (PD). Besides motor complications, PD is also characterized by deficits in visual processing. Here, we investigate how virally-mediated overexpression of α-synuclein in the substantia nigra pars compacta impacts visual processing in a well-established rodent model of PD. After a unilateral injection of vector, human α-synuclein was detected in the striatum and superior colliculus (SC). In parallel, there was a significant delay in the latency of the transient VEPs from the affected side of the SC in late stages of the disease. Inhibition of leucine-rich repeat kinase using PFE360 failed to rescue the VEP delay and instead increased the latency of the VEP waveform. A support vector machine classifier accurately classified rats according to their `disease state’ using frequency-domain data from steady-state visual evoked potentials (SSVEP). Overall, these findings indicate that the latency of the rodent VEP is sensitive to changes mediated by the increased expression of α-synuclein and especially when full overexpression is obtained, whereas the SSVEP facilitated detection of α-synuclein across reflects all stages of PD model progression.

AB - Biomarkers suitable for early diagnosis and monitoring disease progression are the cornerstone of developing disease-modifying treatments for neurodegenerative diseases such as Parkinson’s disease (PD). Besides motor complications, PD is also characterized by deficits in visual processing. Here, we investigate how virally-mediated overexpression of α-synuclein in the substantia nigra pars compacta impacts visual processing in a well-established rodent model of PD. After a unilateral injection of vector, human α-synuclein was detected in the striatum and superior colliculus (SC). In parallel, there was a significant delay in the latency of the transient VEPs from the affected side of the SC in late stages of the disease. Inhibition of leucine-rich repeat kinase using PFE360 failed to rescue the VEP delay and instead increased the latency of the VEP waveform. A support vector machine classifier accurately classified rats according to their `disease state’ using frequency-domain data from steady-state visual evoked potentials (SSVEP). Overall, these findings indicate that the latency of the rodent VEP is sensitive to changes mediated by the increased expression of α-synuclein and especially when full overexpression is obtained, whereas the SSVEP facilitated detection of α-synuclein across reflects all stages of PD model progression.

KW - SUBSTANTIA-NIGRA

KW - SUPERIOR COLLICULUS

KW - EVOKED-POTENTIALS

KW - GAIN-CONTROL

KW - PROJECTION

KW - PATHOLOGY

KW - DOPAMINE

U2 - 10.1038/s41598-020-68808-3

DO - 10.1038/s41598-020-68808-3

M3 - Article

VL - 10

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

IS - 1

M1 - 11869

ER -

ID: 135582793