Predicted brain age after stroke

There is not one survivor in the world that cares about predictions. They want EXACT STROKE PROTOCOLS LEADING TO 100% RECOVERY. Are you that fucking stupid? This earlier research said 5 years, what changed? 

5 lost cognitive years from your stroke.

Oops, I'm not playing by the polite rules of Dale Carnegie,  'How to Win Friends and Influence People'. 

Politeness will never solve anything in stroke.

Predicted brain age after stroke

Natalia Egorova^{1, 2*}, Franziskus Liem³, Vladimir Hachinski⁴ and Amy Brodtmann²

• ¹The University of Melbourne, Australia
• ²Florey Institute of Neuroscience and Mental Health, University of Melbourne, Australia
• ³Dynamics of Healthy Aging, University of Zurich, Switzerland
• ⁴University of Western Ontario, Canada

Aging is a known non-modifiable risk factor for stroke. Usually this refers to chronological rather than biological age. Biological brain age can be estimated based on cortical and subcortical brain measures. For stroke patients, it could serve as a more sensitive marker of brain health than chronological age. In this study, we investigated whether there is a difference in brain age between stroke survivors and control participants matched on chronological age. We estimated brain age at 3 months after stroke, and then followed the longitudinal trajectory over three time-points: within 6 weeks (baseline), at 3 and at 12 months following their clinical event. We found that brain age in stroke participants was higher compared to controls, with the mean difference between the groups varying between 3.9 to 8.7 years depending on the brain measure used for prediction. This difference in brain age was observed at 6 weeks after stroke and maintained at 3 and 12 months after stroke. The presence of group differences already at baseline suggests that stroke might be an ultimate manifestation of gradual cerebrovascular burden accumulation and brain degeneration. Brain age prediction therefore has the potential to be a useful biomarker for quantifying stroke risk.

Keywords: Age prediction, structural magnetic resonance imaging (MRI), Stroke, chronological age, Brain age

Received: 28 Oct 2019; Accepted: 28 Nov 2019.

Copyright: © 2019 Egorova, Liem, Hachinski and Brodtmann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Dr. Natalia Egorova, The University of Melbourne, Melbourne, Australia, natalia.egorova@unimelb.edu.au