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Clinical features and power spectral entropy of electroencephalography in Wilson's disease with dystonia

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TLDR
In this article , the clinical features and power spectral entropy (PSE) of electroencephalography signals in Wilson's disease (WD) patients with dystonia were studied and compared.
Abstract
To study the clinical features and power spectral entropy (PSE) of electroencephalography signals in Wilson's disease (WD) patients with dystonia.

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Journal ArticleDOI

Clinical features and power spectral entropy of electroencephalography in Wilson's disease with dystonia

TL;DR: In this article , the clinical features and power spectral entropy (PSE) of electroencephalography signals in Wilson's disease (WD) patients with dystonia were studied and compared.
References
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Journal ArticleDOI

Cognitive deficit caused by regional depletion of dopamine in prefrontal cortex of rhesus monkey.

TL;DR: Evidence is provided that dopamine plays an important role in a specific cortical function in rhesus monkeys and that this role can be pharmacologically reversed with dopamine agonists.
Journal ArticleDOI

Diagnosis and treatment of Wilson disease: an update.

TL;DR: Intended for use by physicians, these recommendations suggest preferred approaches to the diagnostic, therapeutic, and preventive aspects of care are intended to be flexible, in contrast to standards of care, which are inflexible policies to be followed in every case.
Journal ArticleDOI

The basal ganglia and the cerebellum: nodes in an integrated network

TL;DR: Findings indicating that these subcortical areas are in fact interconnected and, along with the cerebral cortex, form an integrated network are discussed.
Journal ArticleDOI

Dopamine and Cognitive Control in Prefrontal Cortex

TL;DR: This review suggests three major computational roles of dopamine in cognitive control: (i) gating sensory input, (ii) maintaining and manipulating working memory contents, and (iii) relaying motor commands.
Journal ArticleDOI

Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition

TL;DR: This work proposes a multisource transfer learning method, where existing persons are sources, and the new person is the target, which facilitates the fast deployment of emotion recognition models by reducing the reliance on the labeled data amount.
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