Auditory cortical regions show resting-state functional connectivity with the default mode-like network in echolocating bats.

Echolocating bats are among the most social and vocal of all mammals. These animals are ideal subjects for functional MRI (fMRI) studies of auditory social communication given their relatively hypertrophic limbic and auditory neural structures and their reduced ability to hear MRI gradient noise. Yet, no resting-state networks relevant to social cognition (e.

Corrigendum: A 5-min Cognitive Task With Deep Learning Accurately Detects Early Alzheimer's Disease.

[This corrects the article DOI: 10.3389/fnagi.2020.

Rapid infusion of fish oil-based lipid emulsions: Is there a risk of fat overload syndrome? A case report of rapid administration.

What Is Known And Objectives: Errors involving the delivery of IVFE containing soybean oil have known significant complications, including fat overload syndrome. However, little is known regarding the risks of fat overload syndrome with other types of lipid emulsions.

Case Summary: We describe a medication administration error that resulted in rapid fish oil-base lipid emulsion (Omegaven) infusion in a five-month-old infant with parenteral nutrition associated liver disease (PNALD).

Depression is associated with hippocampal volume loss in adults with HIV.

Depressive symptoms are more prevalent in persons with HIV (PWH) than HIV-uninfected individuals. In HIV-uninfected individuals, depression has been associated with atrophy in the hippocampus and other brain regions. In the present study, we investigated the impact of depression on brain structure in PWH.

A 5-min Cognitive Task With Deep Learning Accurately Detects Early Alzheimer's Disease.

The goal of this study was to investigate and compare the classification performance of machine learning with behavioral data from standard neuropsychological tests, a cognitive task, or both. A neuropsychological battery and a simple 5-min cognitive task were administered to eight individuals with mild cognitive impairment (MCI), eight individuals with mild Alzheimer's disease (AD), and 41 demographically match controls (CN). A fully connected multilayer perceptron (MLP) network and four supervised traditional machine learning algorithms were used.