The complete chloroplast genome of Chloranthus nervosus Collett ex Hemsl. 1890 (Chloranthaceae).

In this study, we sequenced and assembled the complete chloroplast genome of Chloranthus nervosus Collett ex Hemsl. 1890. The total length of the complete chloroplast sequence was found to be 158,002 bp. It consisted of a large single-copy (LSC) region of 87,127 bp, a small single-copy (SSC) region of 18,541 bp, and a pair of inverted repeat (IR) regions, each with a length of 26,167 bp. The overall GC content of the complete chloroplast genome was 38.9%, with the LSC region, SSC region, and IR regions exhibiting GC contents of 37.4%, 34.1%, and 43.1%, respectively. The annotation of the chloroplast genome revealed a total of 131 genes, comprising 86 protein-coding genes, 37 tRNA genes, and eight rRNA genes. Phylogenetic analysis revealed that the seven sampled species of Chloranthus were divided into two clades. Within the clade characterized by long filamentous anther connectives, C. nervosus showed the closest relation to C. japonicus. These findings validated the previous preliminary results on the phylogenetic relationships of the seven species of Chloranthus with strong support.

Connectome-based prediction of marital quality in husbands' processing of spousal interactions.

Marital quality may decrease during the early years of marriage. Establishing models predicting individualized marital quality may help develop timely and effective interventions to maintain or improve marital quality. Given that marital interactions have an important impact on marital well-being cross-sectionally and prospectively, neural responses during marital interactions may provide insight into neural bases underlying marital well-being. The current study applies connectome-based predictive modeling, a recently developed machine-learning approach, to functional magnetic resonance imaging (fMRI) data from both partners of 25 early-stage Chinese couples to examine whether an individual's unique pattern of brain functional connectivity (FC) when responding to spousal interactive behaviors can reliably predict their own and their partners' marital quality after 13 months. Results revealed that husbands' FC involving multiple large networks, when responding to their spousal interactive behaviors, significantly predicted their own and their wives' marital quality, and this predictability showed gender specificity. Brain connectivity patterns responding to general emotional stimuli and during the resting state were not significantly predictive. This study demonstrates that husbands' differences in large-scale neural networks during marital interactions may contribute to their variability in marital quality and highlights gender-related differences. The findings lay a foundation for identifying reliable neuroimaging biomarkers for developing interventions for marital quality early in marriages.

Efficient Brain Connectivity Reconfiguration Predicts Higher Marital Quality and Lower Depression.

Social-information processing is important for successful romantic relationships and protecting against depression, and depends on functional connectivity (FC) within and between large-scale networks. Functional architecture evident at rest is adaptively reconfigured during task and there were two possible associations between brain reconfiguration and behavioral performance during neurocognitive tasks (efficiency effect and distraction-based effect). This study examined relationships between brain reconfiguration during social-information processing and relationship-specific and more general social outcomes in marriage. Resting-state FC was compared with FC during social-information processing (watching relationship-specific and general emotional stimuli) of 29 heterosexual couples, and the FC similarity (reconfiguration efficiency) was examined in relation to marital quality and depression 13 months later. The results indicated wives' reconfiguration efficiency (globally and in visual association network) during relationship-specific stimuli processing was related to their own marital quality. Higher reconfiguration efficiency (globally and in medial frontal, frontal-parietal, default mode, motor/sensory and salience networks) in wives during general emotional stimuli processing was related to their lower depression. These findings suggest efficiency effects on social outcomes during social cognition, especially among married women. The efficiency effects on relationship-specific and more general outcome are respectively higher during relationship-specific stimuli or general emotional stimuli processing.