Late word processing may predict Alzheimer’s risk: Research

Researchers, including those from the University of Birmingham in the UK, used electroencephalogram (EEG) – a test that detects electrical activity in a person’s brain via electrodes attached to their scalp – on a group of 25 patients to establish how quickly they processed words shown to them on a computer screen.

The research, published in the journal Neuroimage Clinical, analysed a mix of healthy elderly people, patients with mild cognitive impairment (MCI), and patients with MCI who had developed Alzheimer’s within three years of diagnosis of MCI.

Mild cognitive impairment is a condition in which someone has minor problems with mental abilities such as memory beyond what would normally be expected for a healthy person of their age, is estimated to be suffered by up to 20 percent of people aged over 65-year.

It is not a kind of dementia, but a person with MCI is more prone to go on to develop dementia, researchers stated.

A well-known characteristic of Alzheimer’s is a progressive decline in language, however, the ability to process language in the period between the appearance of initial symptoms of Alzheimer’s to its full development has scarcely previously been investigated, researchers mentioned.

“We focused on language functioning, since it is a crucial aspect of cognition and particularly impacted during the progressive stages of Alzheimer’s,” said Ali Mazaheri, from the University of Birmingham.

Earlier research has found that when a person is shown a written word, it takes 250 milliseconds for the brain to process it – an activity which can be picked up on an EEG.

“Crucially, what we found in our study is that this brain response is aberrant in individuals who will go on in the future to develop Alzheimer’s disease, but intact in patients who remained stable, said Katrien Segaert, of the University of Birmingham.

“Our findings were unexpected as language is usually affected by Alzheimer’s disease in much later stages of the onset of the disease,” Segaert said.

It is possible that this breakdown of the brain network associated with language comprehension in MCI patients could be a crucial biomarker used to identify patients likely to develop Alzheimer’s disease, researchers asserted.

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