N
Nicolaas I. Bohnen
Researcher at University of Michigan
Publications - 225
Citations - 11788
Nicolaas I. Bohnen is an academic researcher from University of Michigan. The author has contributed to research in topics: Parkinson's disease & Cholinergic. The author has an hindex of 57, co-authored 199 publications receiving 9999 citations. Previous affiliations of Nicolaas I. Bohnen include United States Department of Veterans Affairs & Veterans Health Administration.
Papers
More filters
Journal ArticleDOI
Reader response: Odor identification as a biomarker of preclinical AD in older adults at risk.
TL;DR: These findings agree with postmortem observations that neurofibrillary tangles in the mesiotemporal lobe robustly predict olfactory deficits in the elderly and best explained by CSF tau rather than β-amyloid levels.
Journal ArticleDOI
Have we been overestimating fall rates in Parkinson's disease?
Book ChapterDOI
Use of Nuclear Medicine Molecular Neuroimaging to Model Brain Molecular Connectivity
Carlos A. Sánchez-Catasús,Martijn L.T.M. Müller,Peter Paul De Deyn,Rudi Dierckx,Nicolaas I. Bohnen,Lester Melie-Garcia +5 more
TL;DR: Basic concepts of brain networks are introduced and methods to model and analyze brain molecular connectivity using positron emission tomography and single-photon emission computed tomography are discussed.
Posted ContentDOI
α4β2* Nicotinic Cholinergic Receptor Target Engagement in Parkinson Disease Gait-Balance Disorders
Roger L. Albin,Martijn L.T.M. Müller,Nicolaas I. Bohnen,Cathie Spino,Martin Sarter,Robert A. Koeppe,Ashley Szpara,Cindy Lustig,William T. Dauer +8 more
TL;DR: Varenicline occupied a significant fraction of alpha4beta2* nicotinic acetylcholine receptors, was tolerated well, enhanced attentional function, and improved dual task gait performance, and may be useful in mitigating gait and balance disorders in PD.
Journal Article
Electronic platform measures of balance impairment in parkinsonians and first degree relatives.
TL;DR: Several measures of balance obtained from quiet stance on an electronic platform found to discriminate patients with Parkinson disease from normal control subjects and first degree relatives of patients with PD.