The effect of prenatal ethanol exposure on the number of parvalbumin-immunoreactive (PA+) GABAergic neurons in the adult rat anterior cingulate cortex was determined. Pregnant Long-Evans rats were maintained on one of three diets throughout gestation: an ethanol-containing liquid diet, a similar, control liquid diet with the isocaloric substitution of sucrose for ethanol, or a lab chow control diet. Offspring were euthanized on postnatal day 60 and brains were prepared for parvalbumin immunocytochemistry. Rats exposed to the ethanol-containing diet contained 45% fewer PA+ neurons in the anterior cingulate cortex compared with sucrose and chow controls. This reduction occurred in the absence of changes in structure volume, and occurred in the absence of changes in PA+ neuronal size.

Download full-text PDF

Source
http://dx.doi.org/10.1016/s0304-3940(98)00378-4DOI Listing

Publication Analysis

Top Keywords

cingulate cortex
12
prenatal ethanol
8
ethanol exposure
8
adult rat
8
anterior cingulate
8
liquid diet
8
occurred absence
8
absence changes
8
exposure reduces
4
reduces parvalbumin-immunoreactive
4

Similar Publications

Fiber Length Distribution Characterizes the Brain Network Maturation during Early School-age.

Neuroimage

January 2025

Shanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), Institute of Brain and Education Innovation, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China; Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, China; NYU-ECNU Institute of Brain and Cognitive Science, New York University Shanghai, Shanghai, China. Electronic address:

Environmental and social changes during early school age have a profound impact on brain development. However, it remains unclear how the brains of typically-developing children adjust white matter to optimize network topology during this period. This study aims to propose the fiber length distribution as a novel nodal metric to capture the continuous maturation of brain network.

View Article and Find Full Text PDF

Accurate and early diagnosis of Depression and Anxiety is met with the challenge of comorbid presentations and the neglect of the basic disturbances of self in current diagnostic criteria. Here, we review studies employing functional magnetic resonance imaging (fMRI) with self-based tasks in major depressive disorder (MDD) and anxiety disorders (AD) to determine the transdiagnostic and differential-diagnostic applicability of neural markers related to the self. This systematic review identified three main findings: (I) Large-scale brain-wide changes related to self-dysfunction overlap significantly between MDD and AD.

View Article and Find Full Text PDF

Post-stroke aphasia is a network disorder characterized by language impairments and aberrant network activation. While patients with post-stroke aphasia recover over time, the dynamics of the underlying changes in the brain remain elusive. Neuroimaging work demonstrated that language recovery is a heterogeneous process, characterized by varying activation levels in several regions of the left-hemispheric language network and the domain-general bilateral multiple-demand network.

View Article and Find Full Text PDF

Introduction: Resting state-fMRI, provides a sensitive method for detecting changes in brain functional integrity, both with respect to regional oxygenated blood flow and whole network connectivity. The primary goal of this report was to examine alterations in functional connectivity in collegiate American football players after a season of repetitive head impact exposure.

Methods: Collegiate football players completed a rs-fMRI at pre-season and 1 week into post-season.

View Article and Find Full Text PDF

Application of elastic net for clinical outcome prediction and classification in progressive supranuclear palsy: A multicenter cohort study.

Parkinsonism Relat Disord

January 2025

Department of Neurology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, South Korea. Electronic address:

Background: Previous studies have used machine learning to identify clinically relevant atrophic regions in progressive supranuclear palsy (PSP). This study applied Elastic Net (EN) in PSP to uncover key atrophic patterns, offering a novel approach to understanding its pathology.

Methods: This study included baseline data from 74 patients with PSP enrolled in the Study of Comprehensive ANd multimodal marker-based cohort of PSP (SCAN-PSP, NCT05579301) in Seoul between January 2022 and August 2023.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!