Sleep Profiler Biomarkers for
Characterization of Neurodegenerative Disorders

Initiated in 2018 with support from the National Institute of Aging, Sleep Profiler now has the capability to longitudinally assess brain health by profiling specific neurodegenerative disorders. These ongoing research efforts were conducted in collaboration with an international research consortium.  The capabilities were designed to satisfy the >85% of older adults who want to know if they are at-risk for a neurodegenerative disorder so they can plan for their future.  

Our scientific discoveries are highlighted in multiple peer-reviewed manuscripts which include the description of a new sleep biomarker called non-REM hypertonia (NRH), findings demonstrating a relationship between NRH and REM sleep without atonia, and studies which investigate the relationship between NRH vs. sleep spindle activity and autonomic dysregulation.  

We developed and validated algorithms for the automated detection of REM sleep without atonia, a prodromal biomarker for alpha-synuclein related neurodegenerative disorders, that can be applied to chin and arm EMG and measured in-home with a high degree of sensitivity and specificity.  

We cross-validated the automated staging accuracy in patients with isolated REM sleep behavior disorder and investigated whether a biomarker developed to detect ICU delirium, called atypical N3 sleep, was able to assess altered mental status in patients with Lewy body dementia. The association between sleep and wake EEG slowing attributed to neurodegeneration was also described.
 
These sleep biomarkers were then utilized in a machine-learning algorithm to derive neurodegenerative disorder profiles for the categories normal, Lewy body disorder, Alzheimer’s disorder, or prodromal synucleinopathy, with the accuracy and reliability evaluated in a range of at-risk patient populations including mild cognitive impairment, Parkinson’s disease, and isolated REM sleep behavior disorder.
 
Additionally, the association between supine sleep and neurodegenerative disorders, first reported by our consortium in 2019, has now been confirmed in independent cohorts with Lewy body Disease, Alzheimer's disease, and Mild Cognitive Impairment. A proposed mechanism of action, as well as a strong relationship between supine sleep and disease duration and motor impairment in Parkinson’s patients further supports our initial finding.

Finally, a community-based survey identified what physicians should and should not do to assist their patients in matters related to neurodegenerative disorders.
 
The 20-min video below summarizes the accuracy and reliability of the neurodegenerative disorder risk and severity assessment, and changes that occur in at-risk patients.  


20-minute Video: Phenotyping Neurodegenerative Disorder Risk and Severity Using Sleep EEG Biomarkers


Links to the studies discussed in the video:
  1. Concordance and test-retest consistency of sleep biomarker-based neurodegenerative disorder profiling
  2. Validation of automated detection of REM sleep without atonia using in-laboratory and in-home recordings
  3. Proof-of-concept for characterization of neurodegenerative disorders using two non-REM biomarkers
  4. Non-REM sleep with hypertonia in Parkinsonian Spectrum Disorders: A pilot investigation
  5. Autonomic dysregulation during sleep in Parkinsonian Spectrum disorders – a proof-of-concept
  6. The accuracy and reliability of sleep staging and sleep biomarkers in patients with Non-REM sleep with hypertonia in isolated REM sleep behavior disorder
  7. Atypical N3 sleep: A biomarker for altered mental status in Lewy body disease?
  8. Head position during sleep: Potential implications for patients with neurodegenerative disorders
  9. Sleep and sleep position: potential implications for patients with neurodegenerative disease
  10. Collapsibility of the internal jugular veins in the lateral decubitus body position: A potential protective role of the cerebral venous outflow against neurodegeneration
  11. Comparison of sleep and wake EEG biomarkers in mild cognitive impairment and Alzheimer’s disease dementia
  12. A community-based survey of personal perspective regarding prodromal sleep screening for neurodegenerative disorders
  13. Potential role of physicians in addressing the needs of those at-risk of a neurodegenerative disorder – A pilot study
  14. The accuracy, night-to-night variability, and stability of frontopolar sleep EEG biomarkers
  15. Comparison of EMG power during sleep from the submental and frontalis muscles