Generalizable, Reproducible, and Neuroscientifically Interpretable Imaging Biomarkers for Alzheimer's Disease.

Precision medicine for Alzheimer's disease (AD) necessitates the development of personalized, reproducible, and neuroscientifically interpretable biomarkers, yet despite remarkable advances, few such biomarkers are available. Also, a comprehensive evaluation of the neurobiological basis and generalizability of the end-to-end machine learning system should be given the highest priority. For this reason, a deep learning model (3D attention network, 3DAN) that can simultaneously capture candidate imaging biomarkers with an attention mechanism module and advance the diagnosis of AD based on structural magnetic resonance imaging is proposed.

Effect of methylphenidate on mismatched visual information processing in young healthy volunteers: an event-related potential study.

This study was to investigate whether a single dose of methylphenidate (MPH), a dopamine and noradrenaline enhancing drug for the treatment of attentional deficits, influences mismatch visual information processing in young healthy volunteers determined with N270. A randomized double-blinded placebo-controlled study was conducted, and each participant was tested on two sessions separated by two weeks. On each session, a matching task was given first, followed by taking an opaque capsule (20 mg MPH or placebo), and matching task was administered again after 90-min rest.

Associations between human aldosterone synthase CYP11B2 (-344T/C) gene polymorphism and antihypertensive response to valsartan in Chinese patients with essential hypertension.

Aldosterone synthase is a mitochondrial enzyme that catalyzes the conversion of 11-deoxycorticosterone to the potent mineralocorticoid aldosterone. The gene encoding aldosterone synthase, CYP11B2, is associated with essential hypertension. But if the genetic variations in aldosterone synthesis could influence the antihypertensive response to Valsartan is not clear.