[Infowarrior] - 'Ideal biomarker' detects Alzheimer's disease before the onset of symptoms

[Richard Forno]

'Ideal biomarker' detects Alzheimer's disease before the onset of symptoms

Croatia, New Mexico (October, 2017): Absence of a prefrontal activation during sensory gating of simple tones detects the Alzheimer's disease (AD) before the occurrence of the first symptoms. Sanja Josef Golubic Ph.D., physicists at the Department of Physics, Faculty of Science, University of Zagreb, reveals the high potential, absolutely non-invasive biomarker of AD pathology in a new study published in the journal Human Brain Mapping. Josef Golubic found a discrete, individual biomarker of AD with "ideal" properties.

Highlights of the new biomarker:

	• Absolutely non-invasive
	• Detects the illness before the occurrence of the first symptoms (preclinical)
	• Discrete: localized/non-localized a prefrontal generator
	• Does not require estimation of uniform cut-off levels and standardization processes
	• Low sensitivity to individual heterogeneity and variability
	• Can follow the evolution of the pathophysiological process of AD
	• Individual
	• Topographic

Worldwide spread of Alzheimer's disease, a long-lasting morbid type of dementia, is one of the biggest global public health challenges facing this generation. A wealth of evidence emerged during over more than 110 years of disease research suggest that the pathological changes associated with AD start decades before the onset of clinical symptoms. This long progression of neurodegeneration that is irreversible by the stage of symptomatic disease, may account for failure to develop successful disease-modifying therapies. Currently, there is a pressing worldwide search for a marker of very early, possibly reversible, pathological changes related to AD in still cognitively intact individuals, before the occurrence of the first symptoms.

Reisa Sperling, chairman of the National Institute on Aging/Alzheimer's Association Workgroup on Preclinical AD and director of the Neuroimaging Program at Harvard Medical School, reviewing the extensive search for the biomarker of preclinical AD, emphasises: „An active line of research is the relationship of intrinsic neural networks and the "topographic" evolution of the pathophysiological process of AD. It is possible, just as in real estate, that "location, location, location" is key".*

Sanja Josef Golubic found the location of the key - it was hidden in the topography of auditory sensory gating network. She uncovered a topological biomarker of preclinical and clinical AD pathology at the individual level that shows a large effect size (0.98) and high accuracy, sensitivity and specificity (100%) in identifying symptomatic AD patients within a research sample. The new biomarker does not require estimation of cut-off levels or standardization processes what is the main problem with so far proposed AD markers. It is absolutely non-invasive, not based on the use of group means and is not associated with statistically significant changes in a continuous variable. Its strength lies in the simplicity of using a binary value, i.e. activated or not-activated a neural generator. The low sensitivity to individual heterogeneity and variability due to its binary nature is probably the most important property of the proposed biomarker.

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https://www.eurekalert.org/pub_releases/2017-10/afea-bd100217.php