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brain atrophy

Evidence for the benefits of meditation in fighting age-related cognitive decline

Submitted by Fiona McPherson on

A review of meditation research reported in January last year concluded that there were insufficient good studies to allow us to say that meditation clearly improves attention and cognition. Studies from 2014 suggest three factors that might be part of the reason for inconsistent research findings:

Genes implicated in late-onset Alzheimer's disease

Submitted by Fiona McPherson on

11 new genetic susceptibility factors for Alzheimer’s identified

The largest international study ever conducted on Alzheimer's disease (I-GAP) has identified 11 new genetic regions that increase the risk of late-onset Alzheimer’s, plus 13 other genes yet to be validated. Genetic data came from 74,076 patients and controls from 15 countries.

Eleven genes for Alzheimer's disease have previously been identified.

Gene variation associated with brain atrophy in MCI

Submitted by Fiona McPherson on

Analysis of data from 237 patients with mild cognitive impairment (mean age 79.9) has found that, compared to those carrying the ‘normal’ ApoE3 gene (the most common variant of the ApoE gene), the ApoE4 carriers showed markedly greater rates of shrinkage in 13 of 15 brain regions thought to be key components of the brain networks disrupted in Alzheimer’s.

http://www.eurekalert.org/pub_releases/2014-01/rson-gva010714.php

Brain atrophy predicts Parkinson's disease dementia

Submitted by Fiona McPherson on

People with Parkinson’s disease have a six times greater risk of developing dementia than the general population. A new study points to a way of picking out those who are at risk of dementia.

Brain network decay detected in early Alzheimer's

Submitted by Fiona McPherson on

A multi-year study involving 207 healthy older adults, in which their spinal fluids were repeatedly sampled and their brains repeatedly scanned, has found that disruptions in the default mode network emerges about the same time as chemical markers of Alzheimer’s appear in the spinal fluid (decreased amyloid-beta and increased tau protein). The finding suggests not only that amyloid-beta and tau pathology affect default mode network integrity early on, but that scans of brain networks may be an equally effective and less invasive way to detect early disease.

Diabetes duration and severity associated with brain atrophy

Submitted by Fiona McPherson on

A study involving 614 patients with type 2 diabetes (mean age 62) has found that longer duration of diabetes was associated with more brain volume loss, particularly in the gray matter. Roughly, for every 10 years of diabetes, the brain was similar to that of a non-diabetic person who was two years older.

However, the study did not confirm any association of diabetes characteristics with small vessel ischemic disease.

http://www.eurekalert.org/pub_releases/2014-04/rson-dda042214.php

Exercise may be best way to protect against brain shrinkage

A study using data from the Lothian Birth Cohort (people born in Scotland in 1936) has analyzed brain scans of 638 participants when they were 73 years old. Comparing this data with participants’ earlier reports of their exercise and leisure activities at age 70, it was found that those who reported higher levels of regular physical activity showed significantly less brain atrophy than those who did minimal exercise. Participation in social and mentally stimulating activities, on the other hand, wasn’t associated with differences in brain atrophy.

Alzheimer’s biomarkers present decades before symptoms

A study involving those with a strong genetic risk of developing Alzheimer’s has found that the first signs of the disease can be detected 25 years before symptoms are evident. Whether this is also true of those who develop the disease without having such a strong genetic predisposition is not yet known.

The study involved 128 individuals with a 50% chance of inheriting one of three mutations that are certain to cause Alzheimer’s, often at an unusually young age. On the basis of participants’ parents’ medical history, an estimate of age of onset was calculated.