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Brainwaves indicate the presence and severity of Alzheimer's

Submitted by Fiona McPherson on

Comparison of the EEGs of 27 healthy older adults, 27 individuals with mild Alzheimer's and 22 individuals with moderate cases of Alzheimer’s, has found statistically significant differences across the three groups, using an algorithm that dissects brain waves of varying frequencies.

Distinguishing normal cognitive decline from more serious disorders

Submitted by Fiona McPherson on

Data from two longitudinal studies of older adults (a nationally representative sample of older adults, and the Alzheimer’s Disease Neuroimaging Initiative) has found that a brief cognitive test can distinguish memory decline associated with healthy aging from more serious memory disorders, years before obvious symptoms show up.

Moreover, the data challenge the idea that memory continues to decline through old age: after excluding the cognitively impaired, there was no evidence of further memory declines after the age of 69.

New biomarkers for early Alzheimer's diagnosis

Submitted by Fiona McPherson on

Analysis of 40 spinal marrow samples, 20 of which belonged to Alzheimer’s patients, has identified six proteins in spinal fluid that can be used as markers for Alzheimer's. The analysis focused on 35 proteins that are associated with the lysosomal network — involved in cleaning and recycling beta amyloid. None of the six proteins had previously been linked to Alzheimer’s.

http://www.eurekalert.org/pub_releases/2013-10/lu-ast102313.php

Default mode network changes predict Alzheimer’s

Submitted by Fiona McPherson on

Data from 848 adults of all ages has found that brain volume in the default mode network declined in both healthy and pathological aging, but the greatest decline occurred in Alzheimer’s patients and in those who progressed from mild cognitive impairment to Alzheimer’s disease. Reduced brain volumes in these regions were associated with declines in cognitive ability, the presence of Alzheimer’s biomarkers in the cerebrospinal fluid, and with carrying the “Alzheimer’s gene”, the APOE4 allele.

Tracking preclinical Alzheimer's progression

Submitted by Fiona McPherson on

New research supports the classification system for preclinical Alzheimer’s proposed two years ago. The classification system divides preclinical Alzheimer's into three stages:

Stage 1: Levels of amyloid beta begin to decrease in the spinal fluid. This indicates that the substance is beginning to form plaques in the brain.

Stage 2: Levels of tau protein start to increase in the spinal fluid, indicating that brain cells are beginning to die. Amyloid beta levels are still abnormal and may continue to fall.

Tau-amyloid ratio predicts MCI

Submitted by Fiona McPherson on

Initial findings from an analysis of cerebrospinal fluid taken between 1995 and 2005 from 265 middle-aged healthy volunteers, of whom 75% had a close family member with Alzheimer’s disease, has found that the ratios of phosphorylated tau and amyloid-beta could predict mild cognitive impairment more than five years before symptom onset — the more tau and less amyloid-beta, the more likely MCI will develop. The rate of change in the ratio over time was also predictive — the more rapidly the ratio of tau to amyloid-beta went up, the more likely the eventual development of MCI.

‘Lopsided’ test scores may predict Alzheimer’s sooner

Submitted by Fiona McPherson on

Cognitive testing for dementia has a problem in that low scores on some tests may simply reflect a person's weakness in some cognitive areas, or the presence of a relatively benign form of mild cognitive impairment (one that is not going to progress to dementia). A 2008 study found that one of every six healthy adults scored poorly on two or more of 10 tests in a brief cognitive battery. Following this up, the same researchers now show that a more holistic view might separate those who are on the path to dementia from those who are not.

Predicting if MCI will progress to Alzheimer's

Submitted by Fiona McPherson on

A French study has predicted with 90% accuracy which patients with mild cognitive impairment would receive a clinical diagnosis of Alzheimer's disease within the following two years. The best neurological predictors were cortical thickness in two brain regions (the right anterior cingulate and middle frontal gyri), and the best cognitive predictors were deficits in both free recall and recognition episodic memory. Combining these measures achieved the highest accuracy.

Complex link between head trauma and Alzheimer’s

Submitted by Fiona McPherson on

Studies linking head trauma with increased risk and earlier age of onset for Alzheimer's disease have yielded contradictory results. Now a population-based study involving 448 healthy older adults (70+) and 141 seniors with mild cognitive impairment has found that a history of head trauma was associated with higher levels of amyloid-beta plaques (a marker for Alzheimer’s) in those with MCI, but not in the cognitively normal. Similar rates of self-reported head trauma were found in the two groups (17% and 18%, respectively).

Over 90% of dementia cases in China are undetected

Submitted by Fiona McPherson on

A survey of 7,072 older adults in six provinces across China, with one rural and one urban community in each province, has identified 359 older adults with dementia and 328 with depression. There were only 26 participants who had doctor-diagnosed dementia reported and 26 who had doctor-diagnosed depression. Overall, 93% of dementia cases and 93% of depression were not detected.

Undetected dementia was strongly associated with low socioeconomic status such as a low educational and occupational class, and living in a rural area.