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Identification of an early-stage Parkinson’s disease neuromarker using event-related potentials, bra...

Identification of an early-stage Parkinson’s disease neuromarker using event-related potentials, bra...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2617747731

Identification of an early-stage Parkinson’s disease neuromarker using event-related potentials, brain network analytics and machine-learning

About this item

Full title

Identification of an early-stage Parkinson’s disease neuromarker using event-related potentials, brain network analytics and machine-learning

Publisher

United States: Public Library of Science

Journal title

PloS one, 2022-01, Vol.17 (1), p.e0261947-e0261947

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

The purpose of this study is to explore the possibility of developing a biomarker that can discriminate early-stage Parkinson's disease from healthy brain function using electroencephalography (EEG) event-related potentials (ERPs) in combination with Brain Network Analytics (BNA) technology and machine learning (ML) algorithms.
Currently, diagno...

Alternative Titles

Full title

Identification of an early-stage Parkinson’s disease neuromarker using event-related potentials, brain network analytics and machine-learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2617747731

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2617747731

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0261947

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