Abstract: The deviation between chronological age and age predicted using brain MRI is a putative marker of overall brain health. Age prediction based on structural MRI data shows high accuracy in common brain disorders. However, brain aging is complex and heterogenous, both in terms of individual differences and the underlying biological processes. Here, we implemented a multimodal model to estimate brain age using different combinations of cortical area, thickness and sub-cortical volumes, cortical and subcortical T1/T2-weighted ratios, and cerebral blood flow (CBF) based on arterial spin labeling. For each of the 11 models we assessed the age prediction accuracy in healthy controls (HC, n = 750) and compared the obtained brain age gaps (BAGs) between age-matched subsets of HC and patients with Alzheimer’s disease (AD, n = 54), mild (MCI, n = 90) and subjective (SCI, n = 56) cognitive impairment, schizophrenia spectrum (SZ, n = 159) and bipolar disorder (BD, n = 135). We found highest age prediction accuracy in HC when integrating all modalities. Furthermore, two-group case-control classifications revealed highest accuracy for AD using global T1-weighted BAG, while MCI, SCI, BD and SZ showed strongest effects in CBF-based BAGs. Combining multiple MRI modalities improves brain age prediction and reveals distinct deviations in patients with psychiatric and neurological disorders. The multimodal BAG was most accurate in predicting age in HC, while group differences between patients and HC were often larger for BAGs based on single modalities. These findings indicate that multidimensional neuroimaging of patients may provide a brain-based mapping of overlapping and distinct pathophysiology in common disorders.
Introduction
There is a huge amount of information on SARS-CoV-2 (COVID-19), but its influence on mental health is still lacking. Although all age groups are at risk of contracting COVID-19, older people face significant risk of developing severe illness (Kluge, Reference Kluge2020). The old age is an independent factor for the COVID-19-related death (RR = 9.45) (Zhao et al., Reference Zhao2020). This pandemic might affect this population’s mental health. Retrospective studies of the Severe Acute Respiratory Syndrome epidemic demonstrated that suicide rates raised among elderly during this period (Kluge, Reference Kluge2020). This data emphasize the urgency of studying COVID-19 mental health impact in real time, since it has brought consequences such as psychological suffering, fear, depression and anxiety (Courtin and Knapp, Reference Courtin and Knapp2017; Fiorillo and Gorwood, Reference Fiorillo and Gorwood2020).
Researchers and health professionals from Brazil, Norway and Portugal documented their health professional experiences facing this novel pandemic to advise health services. These countries were selected due to their position in the worldwide ranking on the 2019 Human Development (HD) Report (http://www.hdr.undp.org/en/2019-report). HD classifies countries according to indices such as economic and gender inequality, health, education, dignity and respect for human rights. Among the 100 countries in that report, Norway (1st), Portugal (40th) and Brazil (75th) are top, middle and bottom listed, respectively. Could the differences between these countries counteract the assistance to elderly in the COVID-19 pandemic age? This report aims to provide an overview of each country’s response from the authors’ perspective based on their informal interviews with a multidisciplinary health professional range.