Citations 898

Phenoconversion from probable rapid eye movement sleep behavior disorder to mild cognitive impairment to dementia in a population‐based sample

Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring | May 31, 2017 | Volume: 8 | Issue: 1 | Pages: 127-130

10.1016/j.dadm.2017.05.004 | PMID 28649596

AbstractIntroductionRapid eye movement sleep behavior disorder (RBD) is strongly associated with synucleinopathies. In 2012, we reported an increased risk of mild cognitive impairment (MCI) and Parkinson disease (PD) in cognitively normal Olmsted County, Minnesota, residents, aged 70 to 89 years with probable RBD. Here, we examine their progression to dementia and other neurodegenerative phenotypes.MethodsFifteen participants with RBD who were diagnosed with either MCI or PD were longitudinally followed, and their subsequent clinical courses were reviewed.ResultsOver 6.4 ± 2.9 years, six of the 14 participants with MCI developed additional neurodegenerative signs, five of whom had Lewy body disease features. Four of them progressed to dementia at a mean age 84.8 ± 4.9 years, three of whom met the criteria for probable dementia with Lewy bodies. One subject with PD developed MCI, but not dementia.DiscussionOur findings from the population‐based sample of Olmsted County, Minnesota, residents suggest that a substantial number of RBD patients tend to develop overt synucleinopathy features over time, and RBD patients who develop MCI and subsequent dementia have clinical features most consistent with dementia with Lewy bodies.
REM S leep B ehavior D isorder in P arkin

Movement Disorders | May 17, 2017 | Volume: 32 | Issue: 5 | Pages: 645-658

10.1002/mds.27018 | PMID 28513079

ABSTRACT Rapid eye movement sleep behavior disorder is characterized by dream enactment and complex motor behaviors during rapid eye movement sleep and rapid eye movement sleep atonia loss (rapid eye movement sleep without atonia) during polysomnography. Rapid eye movement sleep behavior disorder may be idiopathic or symptomatic and in both settings is highly associated with synucleinopathy neurodegeneration, especially Parkinson's disease, dementia with Lewy bodies, multiple system atrophy, and pure autonomic failure. Rapid eye movement sleep behavior disorder frequently manifests years to decades prior to overt motor, cognitive, or autonomic impairments as the presenting manifestation of synucleinopathy, along with other subtler prodromal “soft” signs of hyposmia, constipation, and orthostatic hypotension. Between 35% and 91.9% of patients initially diagnosed with idiopathic rapid eye movement sleep behavior disorder at a sleep center later develop a defined neurodegenerative disease. Less is known about the long‐term prognosis of community‐dwelling younger patients, especially women, and rapid eye movement sleep behavior disorder associated with antidepressant medications. Patients with rapid eye movement sleep behavior disorder are frequently prone to sleep‐related injuries and should be treated to prevent injury with either melatonin 3‐12 mg or clonazepam 0.5‐2.0 mg to limit injury potential. Further evidence‐based studies about rapid eye movement sleep behavior disorder are greatly needed, both to enable accurate prognostic prediction of end synucleinopathy phenotypes for individual patients and to support the application of symptomatic and neuroprotective therapies. Rapid eye movement sleep behavior disorder as a prodromal synucleinopathy represents a defined time point at which neuroprotective therapies could potentially be applied for the prevention of Parkinson's disease, dementia with Lewy bodies, multiple system atrophy, and pure autonomic failure. © 2017 International Parkinson and Movement Disorder Society
Survival and Causes of Death Among People With Clinically Diagnosed Synucleinopathies With Parkinsonism

JAMA Neurology | May 15, 2017 | Volume: 74 | Issue: 7 | Pages: 839

10.1001/jamaneurol.2017.0603 | PMID 28505261

Letter on “Natural history of pure autonomic failure: A United States prospective cohort”

Annals of Neurology | May 4, 2017 | Volume: 81 | Issue: 6 | Pages: 910-910

10.1002/ana.24948 | PMID 28472851

Prospective NCCTG quality of life (QOL) study in adult newly diagnosed high-grade gliomas (HGG)

Journal of Clinical Oncology | April 5, 2017 | Volume: 22 | Issue: 14_suppl | Pages: 1524-1524

10.1200/jco.2004.22.90140.1524

Consensus classification of posterior cortical atrophy

Alzheimer's & Dementia | March 2, 2017 | Volume: 13 | Issue: 8 | Pages: 870-884

10.1016/j.jalz.2017.01.014 | PMID 28259709

Abstract Introduction A classification framework for posterior cortical atrophy (PCA) is proposed to improve the uniformity of definition of the syndrome in a variety of research settings. Methods Consensus statements about PCA were developed through a detailed literature review, the formation of an international multidisciplinary working party which convened on four occasions, and a Web‐based quantitative survey regarding symptom frequency and the conceptualization of PCA. Results A three‐level classification framework for PCA is described comprising both syndrome‐ and disease‐level descriptions. Classification level 1 (PCA) defines the core clinical, cognitive, and neuroimaging features and exclusion criteria of the clinico‐radiological syndrome. Classification level 2 (PCA‐pure, PCA‐plus) establishes whether, in addition to the core PCA syndrome, the core features of any other neurodegenerative syndromes are present. Classification level 3 (PCA attributable to AD [PCA‐AD], Lewy body disease [PCA‐LBD], corticobasal degeneration [PCA‐CBD], prion disease [PCA‐prion]) provides a more formal determination of the underlying cause of the PCA syndrome, based on available pathophysiological biomarker evidence. The issue of additional syndrome‐level descriptors is discussed in relation to the challenges of defining stages of syndrome severity and characterizing phenotypic heterogeneity within the PCA spectrum. Discussion There was strong agreement regarding the definition of the core clinico‐radiological syndrome, meaning that the current consensus statement should be regarded as a refinement, development, and extension of previous single‐center PCA criteria rather than any wholesale alteration or redescription of the syndrome. The framework and terminology may facilitate the interpretation of research data across studies, be applicable across a broad range of research scenarios (e.g., behavioral interventions, pharmacological trials), and provide a foundation for future collaborative work.
Transethnic genome‐wide scan identifies novel Alzheimer's disease loci

Alzheimer's & Dementia | February 6, 2017 | Volume: 13 | Issue: 7 | Pages: 727-738

10.1016/j.jalz.2016.12.012 | PMID 28183528

Abstract Introduction Genetic loci for Alzheimer's disease (AD) have been identified in whites of European ancestry, but the genetic architecture of AD among other populations is less understood. Methods We conducted a transethnic genome‐wide association study (GWAS) for late‐onset AD in Stage 1 sample including whites of European Ancestry, African‐Americans, Japanese, and Israeli‐Arabs assembled by the Alzheimer's Disease Genetics Consortium. Suggestive results from Stage 1 from novel loci were followed up using summarized results in the International Genomics Alzheimer's Project GWAS dataset. Results Genome‐wide significant (GWS) associations in single‐nucleotide polymorphism (SNP)–based tests ( P < 5 × 10 −8 ) were identified for SNPs in PFDN1/HBEGF , USP6NL/ECHDC3 , and BZRAP1‐AS1 and for the interaction of the (apolipoprotein E) APOE ε4 allele with NFIC SNP. We also obtained GWS evidence ( P < 2.7 × 10 −6 ) for gene‐based association in the total sample with a novel locus, TPBG ( P = 1.8 × 10 −6 ). Discussion Our findings highlight the value of transethnic studies for identifying novel AD susceptibility loci.
Frontotemporal dementia with the V337M MAPT mutation

Neurology | January 27, 2017 | Volume: 88 | Issue: 8 | Pages: 758-766

10.1212/wnl.0000000000003636 | PMID 28130473

A robust biomarker of large‐scale network failure in Alzheimer's disease

Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring | January 25, 2017 | Volume: 6 | Issue: 1 | Pages: 152-161

10.1016/j.dadm.2017.01.004 | PMID 28275697

AbstractIntroductionBiomarkers for Alzheimer's disease (AD) pathophysiology have been developed that focus on various levels of brain organization. However, no robust biomarker of large‐scale network failure has been developed. Using the recently introduced cascading network failure model of AD, we developed the network failure quotient (NFQ) as a biomarker of this process.MethodsWe developed and optimized the NFQ using our recently published analyses of task‐free functional magnetic resonance imaging data in clinically normal (n = 43) and AD dementia participants (n = 28) from the Alzheimer's Disease Neuroimaging Initiative. The optimized NFQ (oNFQ) was then validated in a cohort spanning the AD spectrum from the Mayo Clinic (n = 218).ResultsThe oNFQ (d = 1.25, 95% confidence interval [1.25, 1.26]) had the highest effect size for differentiating persons with AD dementia from clinically normal participants. The oNFQ measure performed similarly well on the validation Mayo Clinic sample (d = 1.44, 95% confidence interval [1.43, 1.44]). The oNFQ was also associated with other available key biomarkers in the Mayo cohort.DiscussionThis study demonstrates a measure of functional connectivity, based on a cascading network failure model of AD, and was highly successful in identifying AD dementia. A robust biomarker of the large‐scale effects of AD pathophysiology will allow for richer descriptions of the disease process and its modifiers, but is not currently suitable for discriminating clinical diagnostic categories. The large‐scale network level may be one of the earliest manifestations of AD, making this an attractive target for continued biomarker development to be used in prevention trials.
Duration and Pathologic Correlates of Lewy Body Disease

JAMA Neurology | January 23, 2017 | Volume: 74 | Issue: 3 | Pages: 310

10.1001/jamaneurol.2016.4926 | PMID 28114455