Publications by authors named "K A Schindlbeck"

Isolated rapid eye movement sleep behavior disorder is a prodrome of α-synucleinopathies. Using positron emission tomography, we assessed changes in Parkinson's disease-related motor and cognitive metabolic networks and caudate/putamen dopaminergic input in a 4-year longitudinal imaging study of 13 male subjects with this disorder. We also correlated times to phenoconversion with baseline network expression in an independent validation sample.

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Article Synopsis
  • Isolated rapid eye movement sleep behavior disorder (iRBD) is an early warning sign for Parkinson's disease and related disorders.
  • A longitudinal study showed that specific brain networks related to motor and cognitive functions (PDRP and PDCP) exhibited increased activity over time in individuals with iRBD, with more significant changes noted in the motor network.
  • The findings indicate that changes in brain connectivity and dopamine levels can help predict the onset of Parkinson's disease in these individuals up to 1.2 years before it occurs.
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Primary dystonia is thought to emerge through abnormal functional relationships between basal ganglia and cerebellar motor circuits. These interactions may differ across disease subtypes and provide a novel biomarker for diagnosis and treatment. Using a network mapping algorithm based on resting-state functional MRI (rs-fMRI), a method that is readily implemented on conventional MRI scanners, we identified similar disease topographies in hereditary dystonia associated with the DYT1 or DYT6 mutations and in sporadic patients lacking these mutations.

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Network analytical tools are increasingly being applied to brain imaging maps of resting metabolic activity (PET) or blood oxygenation-dependent signals (functional MRI) to characterize the abnormal neural circuitry that underlies brain diseases. This approach is particularly valuable for the study of neurodegenerative disorders, which are characterized by stereotyped spread of pathology along discrete neural pathways. Identification and validation of disease-specific brain networks facilitate the quantitative assessment of pathway changes over time and during the course of treatment.

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