https://www.selleckchem.com/products/d609.html 05, Bonferroni corrected). Moreover, these functional alterations were significantly correlated with the degree of cognitive impairment (AD and MCI groups) and amyloid-β burden. Machine learning models were trained to recognize key fMRI features to predict individual diagnostic status and clinical score. Leave-one-site-out cross-validation established that diagnostic status (mean area under the receiver operating characteristic curve 0.85) and clinical score (mean correlation coefficient between predicted and actual Mini-Mental State Examination scores 0.56, p  less then  .0001) could be predicted with high accuracy. Collectively, our findings highlight the potential for a reproducible and generalizable functional brain imaging biomarker to aid the early diagnosis of AD and track its progression. © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.OBJECTIVE Describe how young adult cancer caregivers (YACC) use social media for social support during a cancer experience. METHODS Eligible YACC were 18-39 years, used Facebook and/or Instagram at least once per week, and cared for an adult cancer patient diagnosed 6 months-5 years prior (N = 34). Recruitment of a cross-sectional sample occurred through oncology clinics in Utah and online advertising by caregiving and cancer organizations from September 2017-June 2018. Semi-structured telephone interviews were recorded, transcribed, iteratively coded and qualitatively analyzed, yielding four categories concerning how YACC use social media. RESULTS Caregivers were most commonly spouses aged 29 years on average (range 21-38); cancer patients were 37 years (range 19-76). Analysis yielded four distinct yet related categories Category 1 Posting about cancer on social media often begins as a strategy for YACC to efficiently provide updates about the cancer patient. Category 2 Caregivers who actively post on social media experience a variety of different funct