Biomarkers.

Background: Recent advances in automatic face recognition have increased the risk that de-identified research imaging data could be re-identified from face imagery in brain scans.

Method: An ADNI committee of independent imaging experts evaluated 11 published techniques for face-deidentification ("de-facing") and selected four algorithms (FSL-UK Biobank, HCP/XNAT, mri_reface, and BIC) for formal testing using 183 longitudinal scans of 61 racially and ethnically diverse ADNI participants, evaluated by their facial feature removal on 3D rendered surfaces (confirming sufficient privacy protection) and by comparing measurements from ADNI routine image analyses on unmodified vs. de-faced images (confirming negligible side effects on analyses).

Biomarkers.

Background: Peak-width of skeletonized mean diffusivity (PSMD) is an emerging biomarker of cerebral small vessel disease (cSVD)-related vascular contributions to cognitive impairment and dementia (VCID). Higher PSMD values reflect greater white matter microstructural damage, and prior research has related PSMD to sporadic and monogenic forms of cSVD and worse cognitive function. Therefore, we proposed PSMD as a risk stratification biomarker for VCID.

Biomarkers.

Background: Cerebrovascular disease features as the most common comorbidity in older individuals with dementia. White matter (WM) injury identified through white matter hyperintensities (WMH) on FLAIR represents evident late-stage pathophysiological manifestations of CVD. This study aims to assess the role of baseline microstructural WM integrity, using free water (FW), a measure from diffusion tensor imaging (DTI), in predicting WMH growth dynamic.

Alzheimer's Imaging Consortium.

Background: Recent advances in automatic face recognition have increased the risk that de-identified research imaging data could be re-identified from face imagery in brain scans.

Method: An ADNI committee of independent imaging experts evaluated 11 published techniques for face-deidentification ("de-facing") and selected four algorithms (FSL-UK Biobank, HCP/XNAT, mri_reface, and BIC) for formal testing using 183 longitudinal scans of 61 racially and ethnically diverse ADNI participants, evaluated by their facial feature removal on 3D rendered surfaces (confirming sufficient privacy protection) and by comparing measurements from ADNI routine image analyses on unmodified vs. de-faced images (confirming negligible side effects on analyses).

The CLCA1/TMEM16A/Cl- current axis associates with H2S deficiency in diabetic kidney injury.

The role played by anionic channels in diabetic kidney disease (DKD) is not known. Chloride channel accessory 1 (CLCA1) facilitates the activity of TMEM16A (Anoctamin-1), a Ca2+-dependent Cl- channel. We examined if CLCA1/TMEM16A had a role in DKD.