Subcortical ischemic vascular disease (SIVD) is considered to be the most important and common cause of vascular cognitive impairment (VCI). If patients with subcortical ischemic vascular cognitive impairment (SIVCI) and subcortical vascular cognitive impairment (sVCI) can be found early, it is possible that vascular dementia (VaD) can be identified before occurrence and even reverse the process. Recent studies have shown that resting-state functional magnetic resonance imaging (rsfMRI) may provide the objective basis for the diagnosis of SIVCI. This article reviews the application of rsfMRI in the diagnosis of SIVCI.

Diverse types of GABAergic interneurons tend to specialize in their inhibitory control of various aspects of cortical circuit operations. Among the most distinctive interneuron types, chandelier cells (i.e., axo-axonic cells) are a bona fide cell type that specifically innervates pyramidal cells at the axon initial segment, the site of action potential initiation. Chandelier cells have been speculated to exert ultimate inhibitory control over pyramidal cell spiking. Thus, chandelier cells appear to share multiple similarities with basket cells, not only in firing pattern (fast spiking) and molecular components, but also in potentially perisomatic inhibitory control. Unlike basket cells, however, synaptic recruitment of chandelier cells is little known yet. Here, we examined the mediodorsal thalamocortical input to both chandelier cells and basket cells in medial prefrontal cortex, through combining mouse genetic, optogenetic and electrophysiological approaches. We demonstrated that this thalamocortical input produced initially weak, but facilitated synaptic responses at chandelier cells, which enabled chandelier cells to spike persistently. In contrast, this thalamocortical input evoked initially strong, but rapidly depressed synaptic responses at basket cells, and basket cells only fired at the initiation of input. Overall, the distinct synaptic recruitment dynamics further underscores the differences between chandelier cells and basket cells, suggesting that these two types of fast spiking interneurons play different roles in cortical circuit processing and physiological operation.
Mice ; Animals ; Neurons/physiology* ; Pyramidal Cells/physiology* ; Interneurons ; Action Potentials/physiology* ; Synaptic Transmission

Cortical GABAergic inhibitory neurons are composed of three major classes, each expressing parvalbumin (PV), somatostatin (SOM) and 5-hydroxytryptamine receptor 3A (Htr3a), respectively. Htr3a
Animals ; Interneurons/metabolism* ; Mice ; Neurons/metabolism* ; Parvalbumins/metabolism* ; Receptors, Serotonin, 5-HT3/genetics* ; Serotonin ; Somatostatin/metabolism*

OBJECTIVETo investigate the association of maternal body composition and dietary intake with the risk of gestational diabetes mellitus (GDM).

METHODSA total 154 GDM subjects and 981 controls were enrolled in a prospective cohort study in 11 hospitals from May 20, 2012 to December 31, 2013. Bioelectrical impedance analysis and dietary surveys were used to determine body composition and to evaluate the intake of nutrients in subjects at 21-24 weeks' gestation (WG). Logistic regression analysis was applied to explore the relationships of maternal body composition and dietary intake with the risk of GDM morbidity.

RESULTSAge, pre-pregnant body weight (BW), and body mass index (BMI) were associated with increased risk of GDM. Fat mass (FM), fat mass percentage (FMP), extracellular water (ECW), BMI, BW, energy, protein, fat, and carbohydrates at 21-24 WG were associated with an increased risk of GDM. In contrast, fat free mass (FFM), muscular mass (MM), and intracellular water (ICW) were associated with a decreased risk of GDM.

CONCLUSIONMaternal body composition and dietary intake during the second trimester of pregnancy were associated with the risk of GDM morbidity.

Adult ; Asian Continental Ancestry Group ; Body Composition ; Body Mass Index ; Cohort Studies ; Diabetes, Gestational ; epidemiology ; Diet ; Diet Surveys ; Feeding Behavior ; Female ; Humans ; Pregnancy ; Pregnancy Trimester, Second ; Risk Factors