Biomarkers sensitive to functional impairment, neuronal loss, tau, and amyloid pathology based on MR, PET, and CSF studies are increasingly used to diagnose Alzheimer's disease (AD), but clinical validation is incomplete, hampering reimbursement by payers, widespread clinical implementation, and impacting on health care quality. An expert group convened to develop a strategic research agenda to foster the clinical validation of AD biomarkers. These demonstrated sufficient evidence of analytical validity (phase I of a structured framework adapted from oncology). Research priorities were identified based on incomplete clinical validity (phases II and III), and clinical utility (phases IV and V). Priorities included: definition of the assays; reading procedures and thresholds for normality; performance in detecting early disease; accounting for the effect of covariates; diagnostic algorithms comprising combinations of biomarkers; and developing best practice guidelines for the use of biomarkers in qualified memory clinics in the context of phase IV studies. 5 GlossaryBiomarker. An objective measure of a biological or pathogenic process with the purpose of evaluating disease risk or prognosis, guiding clinical diagnosis or monitoring therapeutic interventions. While the term originally referred to traceable substances produced by or introduced into an organism, it later evolved to any measurable parameter, including those obtained via imaging procedures.Roadmap. Objective-oriented, structured, and efficient action plan. In science and technology also called "strategic research agenda".Alzheimer's disease (AD) dementia. Traditionally and according to the National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer's Disease and Related Disorders Association (NINCDS-ADRDA) criteria, Alzheimer's disease was defined as a syndrome with progressive cognitive impairment severe enough to impact on daily activities. A diagnosis of Alzheimer's disease could only be made after exclusion of other possible causes. 1 Sixty-five to 80% of cases of patients fulfilling these criteria have Alzheimer's pathology (plaques and tangles), the remainder having a range of other pathologies. In order to increase diagnostic certainty, contemporary criteria for AD dementia incorporate biomarker evidence for different aspects of Alzheimer's pathology, including imaging (magnetic resonance imaging -MRI -measures of atrophy; 18 F-fluorodeoxyglucose-positron emission tomography -FDG-PET -measures of cerebral hypometabolism; amyloid PET measures of fibrillar β-amyloid -A -deposition) and cerebrospinal fluid -CSF (decreased levels of A42, increased levels of tau and phospho-tau). 2,3 Alzheimer's disease process. Recognizing that AD pathology is present many years before symptoms emerge, new criteria classify the disease process on a continuum from asymptomatic to prodromal and finally to dementia stage. 4 Individuals at the asymptomatic stage can only be identified by biomarkers of Alzheimer's pathology. None...

Diagnostic accuracy in FDG-PET imaging highly depends on the operating procedures. In this clinical study on dementia, we compared the diagnostic accuracy at a single-subject level of a) Clinical Scenarios, b) Standard FDG Images and c) Statistical Parametrical (SPM) Maps generated via a new optimized SPM procedure. We evaluated the added value of FDG-PET, either Standard FDG Images or SPM Maps, to Clinical Scenarios. In 88 patients with neurodegenerative diseases (Alzheimer's Disease—AD, Frontotemporal Lobar Degeneration—FTLD, Dementia with Lewy bodies—DLB and Mild Cognitive Impairment—MCI), 9 neuroimaging experts made a forced diagnostic decision on the basis of the evaluation of the three types of information. There was also the possibility of a decision of normality on the FDG-PET images. The clinical diagnosis confirmed at a long-term follow-up was used as the gold standard. SPM Maps showed higher sensitivity and specificity (96% and 84%), and better diagnostic positive (6.8) and negative (0.05) likelihood ratios compared to Clinical Scenarios and Standard FDG Images. SPM Maps increased diagnostic accuracy for differential diagnosis (AD vs. FTD; beta 1.414, p = 0.019). The AUC of the ROC curve was 0.67 for SPM Maps, 0.57 for Clinical Scenarios and 0.50 for Standard FDG Images. In the MCI group, SPM Maps showed the highest predictive prognostic value (mean LOC = 2.46), by identifying either normal brain metabolism (exclusionary role) or hypometabolic patterns typical of different neurodegenerative conditions.

White matter (WM) tract damage was assessed in patients with the behavioral variant frontotemporal dementia (bvFTD) and the 3 primary progressive aphasia (PPA) variants and compared with the corresponding brain atrophy patterns. Thirteen bvFTD and 20 PPA patients were studied. Tract-based spatial statistics and voxel-based morphometry were used. Patients with bvFTD showed widespread diffusion tensor magnetic resonance imaging (DT MRI) abnormalities affecting most of the WM bilaterally. In PPA patients, WM damage was more focal and varied across the 3 syndromes: left frontotemporoparietal in nonfluent, left frontotemporal in semantic, and left frontoparietal in logopenic patients. In each syndrome, DT MRI changes extended beyond the topography of gray matter loss. Left uncinate damage was the best predictor of frontotemporal lobar degeneration diagnosis versus controls. DT MRI measures of the anterior corpus callosum and left superior longitudinal fasciculus differentiated bvFTD from nonfluent cases. The best predictors of semantic PPA compared with both bvFTD and nonfluent cases were diffusivity abnormalities of the left uncinate and inferior longitudinal fasciculus. This study provides insights into the similarities and differences of WM damage in bvFTD and PPA variants. DT MRI metrics hold promise to serve as early markers of WM integrity loss that only at a later stage may be detectable by volumetric measures.

[18F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is a widely used diagnostic tool that can detect and quantify pathophysiology, as assessed through changes in cerebral glucose metabolism. [18F]-FDG PET scans can be analyzed using voxel-based statistical methods such as Statistical Parametric Mapping (SPM) that provide statistical maps of brain abnormalities in single patients. In order to perform SPM, a "spatial normalization" of an individual's PET scan is required to match a reference PET template. The PET template currently used for SPM normalization is based on [15O]-H2O images and does not resemble either the specific metabolic features of [18F]-FDG brain scans or the specific morphological characteristics of individual brains affected by neurodegeneration. Thus, our aim was to create a new [18F]-FDG PET aging and dementia-specific template for spatial normalization, based on images derived from both age-matched controls and patients. We hypothesized that this template would increase spatial normalization accuracy and thereby preserve crucial information for research and diagnostic purposes. We investigated the statistical sensitivity and registration accuracy of normalization procedures based on the standard and new template-at the single-subject and group level-independently for subjects with Mild Cognitive Impairment (MCI), probable Alzheimer's Disease (AD), Frontotemporal lobar degeneration (FTLD) and dementia with Lewy bodies (DLB). We found a significant statistical effect of the population-specific FDG template-based normalisation in key anatomical regions for each dementia subtype, suggesting that spatial normalization with the new template provides more accurate estimates of metabolic abnormalities for single-subject and group analysis, and therefore, a more effective diagnostic measure.