Background: The clinical presentations in dementia with Lewy bodies (DLB) and frontotemporal dementia (FTD) overlap considerably with that of Alzheimer's disease (AD) despite different pathological processes. Autopsy studies have also shown that multiple brain pathology occurs frequently, even in cases with a single clinical diagnosis. We aimed to determine the frequency of clinical diagnosis of FTD and DLB and the underlying pathology in a well-characterized cohort of patients with a clinical diagnosis of probable or possible AD.

Methods: We conducted a retrospective analysis of 170 AD patients (probable AD = 83; possible AD = 87) originally enrolled in a case-control study, 27 with postmortem examination, to establish the number of cases meeting probable diagnosis for FTD and DLB, using a checklist of features compiled from their consensus criteria.

Results: 23/83 probable AD cases and 32/87 possible AD cases met probable criteria for another dementia, more commonly DLB than FTD. AD pathology was present in 8/15 probable AD and 8/12 possible AD cases coming to autopsy. DLB pathology was seen in four cases and FTD pathology in eight cases. In the AD cases reaching clinical diagnosis for a second dementia syndrome and coming to autopsy, a minority showed non-AD pathology only.

Conclusions: Presence of core clinical features of non-AD dementia syndromes is common in AD. Concordance between clinical and pathological diagnoses of dementia remains variable. We propose that repeat clinical examinations and structural neuroimaging will improve diagnostic accuracy. In addition, clinical diagnostic criteria for the main dementia syndromes require refinement.

Financial capacity is a complex instrumental activity of daily living critical to independent functioning of older adults and sensitive to impairment in patients with amnestic mild cognitive impairment (MCI) and Alzheimer’s disease (AD). However, little is known about the neurocognitive basis of financial impairment in dementia. We developed cognitive models of financial capacity in cognitively healthy older adults (n = 85) and patients with MCI (n = 113) and mild AD (n = 43). All participants were administered the Financial Capacity Instrument (FCI) and a neuropsychological test battery. Univariate correlation and multiple regression procedures were used to develop cognitive models of overall FCI performance across groups. The control model (R2 = .38) comprised (in order of entry) written arithmetic skills, delayed story recall, and simple visuomotor sequencing. The MCI model (R2 = .69) comprised written arithmetic skills, visuomotor sequencing and set alternation, and race. The AD model (R2 = .65) comprised written arithmetic skills, simple visuomotor sequencing, and immediate story recall. Written arithmetic skills (WRAT-3 Arithmetic) was the primary predictor across models, accounting for 27% (control model), 46% (AD model), and 55% (MCI model) of variance. Executive function and verbal memory were secondary model predictors. The results offer insight into the cognitive basis of financial capacity across the dementia spectrum of cognitive aging, MCI, and AD. (JINS, 2009, 15, 258–267.)

Mild cognitive impairment (MCI) is regarded as the prodromal stage of dementia disorders, such as Alzheimer's disease (AD).

Objective: To compare the neuropsychological profiles of MCI subjects with normal concentrations of total tau (T-τ) and Aβ42 in CSF (MCI-norm) to MCI subjects with deviating concentrations of the biomarkers (MCI-dev). MCI-norm (N = 73) and MCI-dev (N = 73) subjects were compared to normal controls (N = 50) on tests of speed/attention, memory, visuospatial function, language and executive function.

Results: MCI-norm performed overall better than MCI-dev, specifically on tests of speed and attention and episodic memory. When MCI-dev subjects were subclassified into those with only high T-tau (MCI-tau), only low Aβ42 (MCI-Aβ) and both high T-tau and low Aβ42 (MCI-tauAβ), MCI-tauAβ tended to perform slightly worse. MCI-tau and MCI-Aβ performed quite similarly.

Conclusions: Considering the neuropsychological differences, many MCI-norm probably had more benign forms of MCI, or early non-AD forms of neurodegenerative disorders. Although most MCI-dev performed clearly worse than MCI-norm on the neuropsychological battery, some did not show any deficits when compared to age norms. A combination of CSF analyses and neuropsychology could be a step toward a more exact diagnosis of MCI as prodromal AD. (JINS, 2008, 14, 582–590.)

The purpose of this study was to examine the relationships between lobar volumes and set shifting. We studied 101 subjects, including 36 normal controls, 16 patients with probable Alzheimer's disease, 30 patients with frontotemporal dementia (FTD), and 19 patients with semantic dementia (SD), using a shifting paradigm that carefully controlled for component abilities. Subjects were administered two conditions of the Delis–Kaplan Executive Function System (D-KEFS) Design Fluency Test. In the control condition (DF:Control), examinees generated as many unique designs as possible in 60 s by drawing lines connecting only unfilled dots. In the switching condition (DF:Switch), examinees generated designs by drawing lines alternating between filled and unfilled dots. We used BRAINS2 software to generate volumes of the right and left frontal, temporal, and parietal lobes. Partial correlations and multiple regressions showed that, after controlling for Mini-Mental State Examination and DF:Control, only the right and left frontal lobe volumes significantly correlated with the DF:Switch, most clearly in the FTD and SD groups. Follow-up analyses indicated that frontal contributions to shifting were not related to working memory. Results highlight the importance of carefully controlling for component cognitive processes when studying executive functioning. (JINS, 2007, 13, 386–392.)

Familial Alzheimer's disease (FAD) accounts for 5–10% of deaths from Alzheimer's disease (AD), and approximately 50% of these cases have been definitely linked to missense mutations in three genes, encoding the amyloid precursor protein (APP), presenilin 1 (PS1) and presenilin 2 (PS2). Of these, the vast majority of FAD-linked mutations are within PS1. There has been an extensive effort to identify proteins that functionally interact with PS1 and PS2 because of their clear roles in FAD. The goal of this review is to describe these proteins and to discuss in more detail the probable biological functions of a subset of the better-studied interacting proteins. In particular, the review examines APP, Notch, nicastrin, modifier of cellular adhesion (MOCA), β-catenin, and the group of proteins involved in cell death, calcium metabolism and cell adhesion. We argue that, although a few of the interacting proteins are unambiguously involved in well-studied cellular pathways, their exact roles within these pathways have not been clearly defined, and indeed might vary between cell types. We also question the physiological relevance of some of the work linking PS to cell death pathways. Finally, we point out the value of using flies and worms to sort out the often contradictory work in the PS field, and we mention how knowledge of PS-interacting pathways will contribute to the development of new therapeutic strategies in AD.

Automatic differentiation (AD) has proven its interest in many fields ofapplied mathematics, but it is still not widely used. Furthermore, existingnumerical methods have been developed under the hypotheses that computingprogram derivatives is not affordable for real size problems. Exact derivativeshave therefore been avoided, or replaced by approximations computed by divideddifferences. The hypotheses is no longer true due to the maturity of AD addedto the quick evolution of machine capacity. This encourages the development ofnew numerical methods that freely make use of program derivatives, and willrequire the definition and development of new AD strategies. AD tools mustbe extended to produce these new derivative programs, in such a modular waythat the different sub-problems can be solved independently from one another.Flexibility assures the user to be able to generate whatever specificderivative program he needs, with at the same time the possibility to generatestandard ones. This paper sketches a new model of modular, extensible andflexible AD tool that will increase tenfold the DA potential for appliedmathematics. In this model, the AD tool consists of an AD kernel namedKAD supported by a general program transformation platform.