Cigarette smoking and cognitive task performance: Experimental effects of very-low nicotine-content cigarettes.

Reductions in the nicotine content of cigarettes decrease smoking rate and dependence severity, but effects on cognition are less well established. The potential impacts of very-low nicotine-content (VLNC) cigarettes on cognitive task performance must be evaluated, especially in vulnerable populations. The aim of the present study is to experimentally examine the effects of VLNC cigarettes on cognitive performance. Adults who smoked daily (n = 775) from three vulnerable populations (socioeconomically disadvantaged reproductive-age women, individuals with opioid use disorder, affective disorders) were examined. Participants were randomly assigned to normal nicotine content (NNC; 15.8 mg nicotine/g tobacco) or VLNC (2.4 mg/g or 0.4 mg/g) cigarettes for 12 weeks. Response inhibition (stop-signal task), working memory (n-back task; n of 2-n of 0), and cognitive interference (nicotine Stroop task) were assessed at baseline, 2, 6, and 12 weeks. Results were analyzed using mixed-model repeated-measures analyses of variance. Extended exposure to VLNC cigarettes produced no significant changes in any measure of cognitive performance compared to NNC cigarettes. Over weeks, response times on the n-back task decreased across doses. No significant effects were observed on the stop-signal or nicotine Stroop tasks. All three vulnerable populations performed comparably on all three cognitive tasks. Extended exposure to VLNC cigarettes produced no impairments in cognitive performance on any of the assessed tasks compared to NNC cigarettes. These findings are consistent with the larger literature detailing other consequences following exposure to VLNC cigarettes and are encouraging for the adoption of a nicotine-reduction policy. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Subclinical Metabolic and Cardiovascular Factors and Brain White Matter Microstructural Integrity in Young Women.

Women who have experienced pregnancy complications, specifically preeclampsia and gestational diabetes, have well documented increased risks of cardiovascular, metabolic, and neurological disease later in life. This study examined how specific cardiovascular and metabolic risk factors for preeclampsia assessed in a non-pregnant state were associated with brain white matter microstructural integrity. This study examined sixty-two healthy women (mean age 31 ± 5 years) who received metabolic and cardiovascular assessments as well as multiple modality MRI imaging. Participants were either nulliparous (n = 31) or had a history of preterm preeclampsia (n = 31). Imaging included acquisition Diffusion Tensor Imaging (DTI) to assess white matter integrity within the brain. We hypothesized that healthy, young, non-pregnant women with cardiovascular and metabolic profiles suggesting elevated risk would have decreased white matter integrity, represented by lower Fractional Anisotropy (FA) and increased Mean Diffusivity (MD) estimates in the posterior cortical areas of the brain. We observed increased white matter degradation (lower FA and increased MD) in posterior and occipital tracts, commissural fibers, and subcortical structures in women with increased adiposity, worse measures of cardiovascular and metabolic function, including greater insulin resistance (HOMA-IR), hyperlipidemia, elevated blood pressure, and increased arterial stiffness. The relationships detected between subclinical cardiovascular and metabolic phenotypes and increased white matter disruption at a young age, outside of pregnancy, are indicative that adverse changes are detectable long before cognitive clinical presentation. This may suggest that many of the long-term cardiovascular and metabolic risks of aging are influenced by physiologic aging trajectories rather than damage caused by pregnancy complications.

Estradiol associations with brain functional connectivity in postmenopausal women.

OBJECTIVE: Previous studies have found that estrogens play a role in functional connectivity in the brain; however, little research has been done regarding how estradiol is associated with functional connectivity in postmenopausal women. The purpose of this study was to examine the relationship between estradiol and functional connectivity in postmenopausal women. METHODS: Structural and blood oxygenation level-dependent resting-state magnetic resonance imaging scans of 88 cognitively healthy postmenopausal individuals were obtained along with blood samples collected the same day as the magnetic resonance imaging to assess hormone levels. We generated connectivity values in CONN toolbox version 20.b, an SPM-based software. RESULTS: A regression analysis was run using estradiol level and regions of interest (ROI), including the hippocampus, parahippocampus, dorsolateral prefrontal cortex, and precuneus. Estradiol level was found to enhance parahippocampal gyrus anterior division left functional connectivity during ROI-to-ROI regression analysis. Estradiol enhanced functional connectivity between the parahippocampal gyrus anterior division left and the precuneus as well as the parahippocampal gyrus anterior division left and parahippocampal gyrus posterior division right. An exploratory analysis showed that years since the final menstrual period was related to enhanced connectivity between regions within the frontoparietal network. CONCLUSIONS: These results illustrated the relationship between estradiol level and functional connectivity in postmenopausal women. They have implications for understanding how the functioning of the brain changes for individuals after menopause that may eventually lead to changes in cognition and behavior in older ages.

Choline kinase alpha genotype is related to hippocampal brain volume and cognition in postmenopausal women.

This study examined how single nucleotide polymorphisms (SNPs) related to choline synthesis and metabolism, processes largely regulated by estrogen, influenced hippocampal volume and neuropsychological function following menopause. We investigated the effect of choline kinase alpha (CHKA) genotype on brain volume and neuropsychological performance in postmenopausal women. The effect alleles of certain CHKA SNPs (rs6591331 T, rs10791957 A) are associated with varied responses to choline deficiency and delegation of choline to physiological pathways. The presence of these alleles was hypothesized to correlate with worse cognitive performance in women after menopause. Results from structural MRI scans revealed larger right hippocampal volumes in subjects with a T/T CHKA rs6591331 genotype compared to A/A subjects. Delayed memory scores from the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) were lower in subjects with T/T genotypes compared to those with the A/T genotype and the A/A genotype. Based on these findings, we proposed a CHKA-dependent mechanism present within the brain to compensate for the decreased estrogen and biosynthesized choline associated with menopause.