biomarkers

Has machine learning over-promised in healthcare?: A critical analysis and a proposal for improved evaluation, with evidence from Parkinson’s disease

Adoption of artificial intelligence (AI) by the medical community has long been anticipated, endorsed by a stream of [machine learning](https://www.sciencedirect.com/topics/computer-science/machine-learning) literature showcasing AI systems that …

Evaluating Effects of Resting-State Electroencephalography Data Pre-Processing on a Machine Learning Task for Parkinson’s Disease

Resting-state electroencephalography (RSEEG) is a method under consideration as a potential biomarker that could support early and accurate diagnosis of Parkinson’s disease (PD). RSEEG data is often contaminated by signals arising from other …

The use of event-related potentials and machine learning to improve diagnostic testing and prediction of disease progression in Parkinson's disease

Current tests of disease status in Parkinson's disease suffer from high variability, limiting their ability to determine disease severity and prognosis. Event-related potentials, in conjunction with machine learning, may provide a more objective …

Which features of postural sway are effective in distinguishing Parkinson's disease from controls? An experimental investigation

Computer-assisted quantification and analysis of postural sway may support identifying individuals affected by Parkinson's disease (PD). Balancing, and its associated postural sway, is a complex process that requires the cooperation of several …

Postural sway correlates with cognition and quality of life in Parkinson’s disease

We measured postural sway in individuals diagnosed with Parkinson's disease and age-matched controls. Individuals with Parkinson's swayed more, as expected, especially when their eyes were closed. In the people with Parkinson's, sway correlated strongly with cognitive measures, as well as with measures of quality of life and clinical status.

Which features of postural sway are effective in distinguishing Parkinson's disease from controls? A systematic review

Background: Postural sway may be useful as an objective measure of Parkinson's disease (PD). Existing studies have analyzed many different features of sway using different experimental paradigms. We aimed to determine what features have been used to …

Robust feature engineering for Parkinson disease diagnosis: New machine learning techniques

Background: Parkinson disease (PD) is a common neurodegenerative disorder that affects between 7 and 10 million people worldwide. No objective test for PD currently exists, and studies suggest misdiagnosis rates of up to 34%. Machine learning (ML) …

Cerebellar–cortical dysconnectivity in resting‐state associated with sensorimotor tasks in schizophrenia

Abnormalities of cerebellar function have been implicated in the pathophysiology of schizophrenia. Since the cerebellum has afferent and efferent projections to diverse brain regions, abnormalities in cerebellar lobules could affect functional …

Postural sway abnormalities in schizotypal personality disorder

We measured postural sway in individuals diagnosed with schizotypal personality disorder, but otherwise free of medication and other comorbidities. They swayed significantly more than matched controls, and as much as people dignosed with schizophrenia, in all conditions.

Striatal morphology correlates with frontostriatal electrophysiological motor processing in Huntington's disease: an IMAGE-HD study

**Background:** Huntington's disease (HD) causes progressive atrophy to the striatum, a critical node in frontostriatal circuitry. Maintenance of motor function is dependent on functional connectivity of these premotor, motor, and dorsolateral …