Sex and gender differences in Alzheimer's disease: current challenges and implications for clinical practice: Position paper of the Dementia and Cognitive Disorders Panel of the European Academy of Neurology.

Alzheimer's disease (AD) is characterized by high heterogeneity in disease manifestation, progression and risk factors. High phenotypic variability is currently regarded as one of the largest hurdles in early diagnosis and in the design of clinical trials; there is therefore great interest in identifying factors driving variability that can be used for patient stratification. In addition to genetic and lifestyle factors, the individual's sex and gender are emerging as crucial drivers of phenotypic variability. Evidence exists on sex and gender differences in the rate of cognitive deterioration and brain atrophy, and in the effect of risk factors as well as in the patterns of diagnostic biomarkers. Such evidence might be of high relevance and requires attention in clinical practice and clinical trials. However, sex and gender differences are currently seldom appreciated; importantly, consideration of sex and gender differences is not currently a focus in the design and analysis of clinical trials for AD. The objective of this position paper is (i) to provide an overview of known sex and gender differences that might have implications for clinical practice, (ii) to identify the most important knowledge gaps in the field (with a special regard to clinical trials) and (iii) to provide conclusions for future studies. This scientific statement is endorsed by the European Academy of Neurology.

From Morris Water Maze to computer tests in the prediction of Alzheimer's disease.

BACKGROUND: Spatial navigation performance in the Hidden Goal Task (HGT), a real-space human analogue of the Morris Water Maze, can identify amnestic mild cognitive impairment (aMCI) patients with memory impairment of the hippocampal type, a known indicator of incipient Alzheimer's disease (AD). OBJECTIVE: Contrast results from computer versus real-space versions of the HGT. METHODS: A total of 42 aMCI patients were clinically and neuropsychologically classified into: (1) memory impairment of the hippocampal type--the hippocampal aMCI (HaMCI; n = 10) and (2) isolated retrieval impairment--the nonhippocampal aMCI (NHaMCI; n = 32). Results were compared to the control (n = 28) and AD (n = 21) groups. RESULTS: The HaMCI group, although similar to the NHaMCI group with respect to overall cognitive impairment, performed poorer on the computer version of the HGT and yielded parallel results to the real-space version. The two versions were strongly correlated. CONCLUSIONS: Both versions of the HGT can reliably identify aMCI with pronounced memory impairment of the hippocampal type. The computer version of the HGT may be a useful, relatively inexpensive screening tool for early detection of individuals at a high risk of AD.

Real-space path integration is impaired in Alzheimer's disease and mild cognitive impairment.

INTRODUCTION: Path integration (PI) is an important component of spatial navigation that integrates self-motion cues to allow the subject to return to a starting point. PI depends on the structures affected early in the course of Alzheimer's disease (AD) such as the medial temporal lobe and the parietal cortex. OBJECTIVES: To assess whether PI is impaired in patients with mild AD and amnestic mild cognitive impairment (aMCI) and to investigate the role of the hippocampus, entorhinal and inferior parietal cortex in this association. METHODS: 27 patients with aMCI, 14 with mild AD and 18 controls completed eight trials of Arena Path Integration Task. The task required subjects with a mask covering their eyes to follow an enclosed triangle pathway through two previously seen places: start-place1-place2-start. Brains were scanned at 1.5T MRI and respective volumes and thicknesses were derived using FreeSurfer algorithm. RESULTS: Controlling for age, education, gender and Mini-Mental State Examination score the aMCI and AD subjects were impaired in PI accuracy on the pathway endpoint (p=0.042 and p=0.013) compared to controls. Hippocampal volume and thickness of entorhinal and parietal cortices explained separately 36-45% of the differences in PI accuracy between controls and aMCI and 28-31% of the differences between controls and AD subjects. CONCLUSIONS: PI is affected in aMCI and AD, possibly as a function of neurodegeneration in the medial temporal lobe structures and the parietal cortex. PI assessment (as a part of spatial navigation testing) may be useful for identification of patients with incipient AD.