OBJECTIVE: Depressive symptoms during the perinatal period have broad and enduring health implications for birthing parents and their offspring. Rising prevalence rates of perinatal depression highlight the need for research examining factors influencing depressive symptoms during pregnancy, and trajectories during the early postnatal period. Grounded in bioecological systems theory, this longitudinal multimethod study examined whether prenatal bioecological factors predict depressive symptoms from pregnancy to 36 months postpartum.
METHODS: Participants were 162 pregnant individuals, oversampled for high emotion dysregulation, who completed a life stress interview and physiological assessment during the 3rd trimester and a self-report measure of depression at five time-points (3rd trimester, within 48 h of birth, 7, 18, and 36 months postpartum). Multilevel models were used to test study aims.
RESULTS: Participants exhibited the highest levels of depressive symptoms at 3rd trimester, and substantial variability in depressive symptom trajectories over time. Lower resting respiratory sinus arrhythmia (RSA), an index of parasympathetic nervous system functioning, in the 3rd trimester was associated with higher concurrent depressive symptoms. Higher levels of stress related to partner relationships, finances, and health were concurrently associated with more depressive symptoms during pregnancy and decreases in depressive symptoms over time. Specifically, depressive symptoms decreased only for individuals who reported high levels of stress during pregnancy.
CONCLUSIONS: Although grounded in bioecological systems theory, this study did not assess the macrosystem.
CONCLUSIONS: Results of this study underscore the importance of multilevel predictors of perinatal health and highlights potential targets for preventing depression and promoting well-being during the perinatal transition.

The aberrant invasive capability of trophoblast cells is widely acknowledged as a primary mechanism underlying RSA. Recently, IGF2BP3 has been implicated in various cancers due to its influence on cellular invasion and migration. However, whether IGF2BP3 involve in the occurrence of RSA and the specific functions it assumes in the development of RSA remain elusive. In our study, we firstly collected villous tissues from RSA and those with normal pregnancies individuals to performed Protein sequencing and then detected the expression of IGF2BP3 through Western blot, qRT-PCR and immunohistochemistry. Secondly, we analyzed the single-cell data (GSE214607) to assess the expression of IGF2BP3 in invasive EVT trophoblasts. Thirdly, we utilized lentivirus technology to establish HTR-8/SVneo cell lines with stable IGF2BP3 knockdown and RNA-seq analysis was employed to investigate the GO functional pathway enrichment of IGF2BP3. Meanwhile, the effect of IGF2BP3 knockdown on trophoblast cells apoptosis, migration, and ferroptosis was evaluated through functional experiments. Additionally, LPS-induced abortion animal model was constructed to evaluate IGF2BP3 expression in placental tissues. A significant downregulation of IGF2BP3 was observed in the villous tissues of RSA patient, a finding corroborated by subsequent single cell sequencing results. Furthermore, it suggested that IGF2BP3 may be involved in the migration and apoptotic processes of trophoblast cells. Mechanistic research indicated that IGF2BP3 knockdown could compromise GPX4 mRNA stability, leading to the promotion of ferroptosis. Finally, our investigation observed the down-regulation of IGF2BP3 expression in placental villous tissues of an LPS-induced abortion animal model. Our findings revealed that IGF2BP3 was downregulated in the villous tissues of RSA patients. Mechanically, down-regulation of IGF2BP3 may induce RSA by promoting GPX4-mediated ferroptosis and inhibiting trophoblast invasion and migration. Our study may provide new targets and research directions for the pathogenesis of RSA.

Nouns and verbs are fundamental grammatical building blocks of languages. A key question is whether and where the noun-verb division was represented in the brain. Previous studies mainly used univariate analyses to examine this issue. However, the interpretation of activated brain regions in univariate analyses may be confounded with general cognitive processing and/or confounding variables. We addressed these limitations by using partial representation similarity analysis (RSA) of Chinese nouns and verbs with different levels of imageability. Participants were asked to complete the 1-back grammatical class probe (GCP; an explicit measure) and the 1-back word probe (WP; an implicit measure) tasks while undergoing functional magnetic resonance imaging. RSA results showed that the activation pattern in the left posterior middle temporal gyrus (LpMTG) was significantly correlated with the grammatical class representational dissimilarity matrix in the GCP task after eliminating the potential confounding variables. Moreover, the LpMTG did not overlap with the frontal-parietal regions that were activated by verbs vs. nouns or the task effect (CRP vs. WP) in univariate analyses. These results highlight the role of LpMTG in distinguishing nouns from verbs rather than general cognitive processing.

In the human brain, a multiple-demand (MD) network plays a key role in cognitive control, with core components in lateral frontal, dorsomedial frontal and lateral parietal cortex, and multivariate activity patterns that discriminate the contents of many cognitive activities. In prefrontal cortex of the behaving monkey, different cognitive operations are associated with very different patterns of neural activity, while details of a particular stimulus are encoded as small variations on these basic patterns (Sigala et al, 2008). Here, using the advanced fMRI methods of the Human Connectome Project and their 360-region cortical parcellation, we searched for a similar result in MD activation patterns. In each parcel, we compared multivertex patterns for every combination of three tasks (working memory, task-switching, and stop-signal) and two stimulus classes (faces and buildings). Though both task and stimulus category were discriminated in every cortical parcel, the strength of discrimination varied strongly across parcels. The different cognitive operations of the three tasks were strongly discriminated in MD regions. Stimulus categories, in contrast, were most strongly discriminated in a large region of primary and higher visual cortex, and intriguingly, in both parietal and frontal lobe regions adjacent to core MD regions. In the monkey, frontal neurons show a strong pattern of nonlinear mixed selectivity, with activity reflecting specific conjunctions of task events. In our data, however, there was limited evidence for mixed selectivity; throughout the brain, discriminations of task and stimulus combined largely linearly, with a small nonlinear component. In MD regions, human fMRI data recapitulate some but not all aspects of electrophysiological data from nonhuman primates.

Functional constituents are the main concern in food production and consumption. Because foods rich in functional constituents have antioxidant capacity and are important in keeping consumers healthy. Pleurotus ostreatus is among foods rich in functional constituents. However, its functional constituents are affected by various factors. This study compared the antioxidant capacity of P. ostreatus grown on different substrates: straws of tef (Trt1), barley (Trt2), and wheat (Trt3), husks of faba bean (Trt4), and field pea (Trt5), sawdust (Trt6), and the mixture of the above with 1:1 w/w (Trt7). Trt7 had significantly higher radical scavenging activity (RSA) (73.27%), vitamin C (10.61 mg/100 g), and vitamin D (4.92 mg/100 g) compared to other treatments. Whereas the lowest values of RSA (44.24%), vitamin C (5.39 mg/100 g), and vitamin D (1.21 mg/100 g) were found in Trt2. The results indicated that mixed substrate may be a good growth substrate for functionally beneficial P. ostreatus and could be a promising source of natural antioxidants.

We report an investigation of the neural processes involved in the processing of faces and objects of brain-lesioned patient PS, a well-documented case of pure acquired prosopagnosia. We gathered a substantial dataset of high-density electrophysiological recordings from both PS and neurotypicals. Using representational similarity analysis, we produced time-resolved brain representations in a format that facilitates direct comparisons across time points, different individuals, and computational models. To understand how the lesions in PS\'s ventral stream affect the temporal evolution of her brain representations, we computed the temporal generalization of her brain representations. We uncovered that PS\'s early brain representations exhibit an unusual similarity to later representations, implying an excessive generalization of early visual patterns. To reveal the underlying computational deficits, we correlated PS\' brain representations with those of deep neural networks (DNN). We found that the computations underlying PS\' brain activity bore a closer resemblance to early layers of a visual DNN than those of controls. However, the brain representations in neurotypicals became more akin to those of the later layers of the model compared to PS. We confirmed PS\'s deficits in high-level brain representations by demonstrating that her brain representations exhibited less similarity with those of a DNN of semantics.

BACKGROUND: X-ray computed tomography (CT) is a powerful tool for measuring plant root growth in soil. However, a rapid scan with larger pots, which is required for throughput-prioritized crop breeding, results in high noise levels, low resolution, and blurred root segments in the CT volumes. Moreover, while plant root segmentation is essential for root quantification, detailed conditional studies on segmenting noisy root segments are scarce. The present study aimed to investigate the effects of scanning time and deep learning-based restoration of image quality on semantic segmentation of blurry rice (Oryza sativa) root segments in CT volumes.
RESULTS: VoxResNet, a convolutional neural network-based voxel-wise residual network, was used as the segmentation model. The training efficiency of the model was compared using CT volumes obtained at scan times of 33, 66, 150, 300, and 600 s. The learning efficiencies of the samples were similar, except for scan times of 33 and 66 s. In addition, The noise levels of predicted volumes differd among scanning conditions, indicating that the noise level of a scan time ≥ 150 s does not affect the model training efficiency. Conventional filtering methods, such as median filtering and edge detection, increased the training efficiency by approximately 10% under any conditions. However, the training efficiency of 33 and 66 s-scanned samples remained relatively low. We concluded that scan time must be at least 150 s to not affect segmentation. Finally, we constructed a semantic segmentation model for 150 s-scanned CT volumes, for which the Dice loss reached 0.093. This model could not predict the lateral roots, which were not included in the training data. This limitation will be addressed by preparing appropriate training data.
CONCLUSIONS: A semantic segmentation model can be constructed even with rapidly scanned CT volumes with high noise levels. Given that scanning times ≥ 150 s did not affect the segmentation results, this technique holds promise for rapid and low-dose scanning. This study offers insights into images other than CT volumes with high noise levels that are challenging to determine when annotating.

BACKGROUND: Reverse shoulder arthroplasty is an established procedure for patients with rotator cuff tear arthropathy. However, the refixation of the subscapularis tendon remains a controversial and frequently discussed topic. This prospective randomized study was conducted to evaluate the clinical benefit of the subscapularis refixation after reverse shoulder arthroplasty.
METHODS: Fifty patients (f: 36, m:14) were randomized and assigned to either the \"repaired\" (rep) or the \"not repaired\" (nrep) cohort. Intraoperatively, the subscapularis tendon was reattached in the rep-cohort with four tendon-to-tendon sutures, whereas no refixation was performed in the nrep-cohort. The Constant-Murley Score (CS) and the range of motion was evaluated preoperatively as well as 12 and 36 months postoperatively. The Subjective Shoulder Value (SSV) and the Lift-off test were performed 36 months postoperatively. The postoperative subscapularis integrity was assessed sonographically.
RESULTS: Twelve months postoperatively the rep-cohort presented better results in the CS (rep: 71 vs. nrep: 66, p: 0.037). The normalized CS was 80% in the rep-cohort and 75% in the nrep-cohort (p: 0.114). At our last follow-up after 36 months we did not find significant differences between the rep-cohort and the nrep-cohort in the CS (rep: 76 vs. nrep: 75, p: 0.285) and normalized CS (rep: 91% vs. nrep: 91%, p: 0.388). Concerning internal rotation (in points) the rep-cohort achieved better results than the nrep-cohort (rep: 7.3 vs. nrep: 6.6, p: 0.040). Flexion (rep: 145° vs. nrep: 151°, p: 0.826), abduction (rep: 135° vs. nrep: 137° p: 0.816), external rotation (rep: 34° vs. nrep: 37°, p: 0.817) and the SSV (rep: 81% vs. nrep: 77%, p: 0.398) presented no significant differences between the cohorts. The ultrasound examination after 36 months displayed an intact tendon in 70%.
CONCLUSIONS: While the subscapularis refixation effects the postoperative internal rotation positively, there were no differences in mid-term follow-up concerning the overall results after rTSA. Further, the external rotation is not affected by the refixation of the subscapularis tendon.

Face perception is a complex process that involves highly specialized procedures and mechanisms. Investigating into face perception can help us better understand how the brain processes fine-grained, multidimensional information. This research aimed to delve deeply into how different dimensions of facial information are represented in specific brain regions or through inter-regional connections via an implicit face recognition task. To capture the representation of various facial information in the brain, we employed support vector machine decoding, functional connectivity, and model-based representational similarity analysis on fMRI data, resulting in the identification of three crucial findings. Firstly, despite the implicit nature of the task, emotions were still represented in the brain, contrasting with all other facial information. Secondly, the connection between the medial amygdala and the parahippocampal gyrus was found to be essential for the representation of facial emotion in implicit tasks. Thirdly, in implicit tasks, arousal representation occurred in the parahippocampal gyrus, while valence depended on the connection between the primary visual cortex and the parahippocampal gyrus. In conclusion, these findings dissociate the neural mechanisms of emotional valence and arousal, revealing the precise spatial patterns of multidimensional information processing in faces.

The role of the subscapularis following reverse shoulder arthroplasty (RSA) remains controversial as repair could restore adequate internal rotation and shoulder stability, but might compromise external rotation. The purpose of this multi-centre study, on a large cohort of RSAs performed using the deltopectoral approach, was to determine the effect of subscapularis preoperative status and intraoperative repair on range of motion, clinical scores and rates of complications at a minimum follow-up of 2 years.
Repair of a functional subscapularis grants better internal rotation and stability without compromising external rotation.
We retrospectively reviewed records of all RSAs (n=916) performed by 14 surgeons that participated in a large national society symposium, and excluded 234 operated by the anterosuperior approach, 42 operated for rheumatoid arthritis, fractures, instability or post traumatic sequalae, and eight that had adjuvant latissimus dorsi tendon transfer (LDTT). This left 632 RSAs, in which the subscapularis was detached in 594, and repaired after detachment in 495. Patients completed pre- and postoperative Constant Score and postoperative Subjective Shoulder Value (SSV). Active forward elevation, active external rotation (ER), and active internal rotation (IR) were recorded pre- and postoperatively. Complications following RSA that required conservative treatment, reoperation without implant removal, as well as reoperation with implant removal were recorded.
Of the initial cohort of 632 shoulders, 120 (19%) were lost to follow-up, 12 (2%) died due to causes unrelated to RSA, and 26 (4%) were revised with implant removal. Of the remaining 474 shoulders, 259 (55%) had a functional repaired subscapularis (Group FR), 59 (12%) had a non-functional repaired subscapularis (Group nFR), whereas 68 (14%) had a not repaired subscapularis (Group nR). Comparison of patient demographics revealed no significant differences among the three groups. Postoperative Constant Score (p=0.031) and SSV (p=0.016) were significantly different among the three groups, but effect sizes were small and not clinically relevant. Differences in postoperative ER as well as postoperative IR were not significant among the three groups: 91 (35%) gained functional IR in Group FR, 11 (19%) in Group nFR, and 13 (19%) in Group nR. Three shoulders (1.2%) reported subjective instability and 1 (0.4%) dislocated in Group FR, but none in either Groups nFR or nR.
Despite statistically significant differences in Constant Score and SSV among the three groups, the clinical relevance of these differences is negligible, so repair of functional subscapularis has little or no influence on functional outcomes. During RSA by deltopectoral approach, repair of a functional subscapularis could slightly improve internal rotation in some patients but does not compromise external rotation, forward elevation or clinical scores, while repair of a non-functional subscapularis, compared to non-repair, did not improve range of motion or clinical scores.
III; retrospective comparative.