Repetitive transcranial magnetic stimulation (rTMS) of the dorsolateral prefrontal cortex (DLPFC) is an established treatment for refractory depression, however, therapeutic outcomes vary. Mounting evidence suggests that clinical response relates to functional connectivity with the subgenual cingulate cortex (SGC) at the precise DLPFC stimulation site. Critically, SGC‐related network architecture shows considerable interindividual variation across the spatial extent of the DLPFC, indicating that connectivity‐based target personalization could potentially be necessary to improve treatment outcomes. However, to date accurate personalization has not appeared feasible, with recent work indicating that the intraindividual reproducibility of optimal targets is limited to 3.5 cm. Here we developed reliable and accurate methodologies to compute individualized connectivity‐guided stimulation targets. In resting‐state functional MRI scans acquired across 1,000 healthy adults, we demonstrate that, using this approach, personalized targets can be reliably and robustly pinpointed, with a median accuracy of ~2 mm between scans repeated across separate days. These targets remained highly stable, even after 1 year, with a median intraindividual distance between coordinates of only 2.7 mm. Interindividual spatial variation in personalized targets exceeded intraindividual variation by a factor of up to 6.85, suggesting that personalized targets did not trivially converge to a group‐average site. Moreover, personalized targets were heritable, suggesting that connectivity‐guided rTMS personalization is stable over time and under genetic control. This computational framework provides capacity for personalized connectivity‐guided TMS targets to be robustly computed with high precision and has the flexibly to advance research in other basic research and clinical applications.
The supramolecular patterns of a thienophenanthrene derivative could be switched among dissimilar polymorphs with different halogen-bond densities by solution concentration, which is demonstrated through a combination of STM and density functional theory (DFT) calculations.
We quantify the degree to which LD differences exist in the human genome and investigates the consequences that variations in patterns of LD between populations can have on the power of case-control or family-trio association studies. Although only a small proportion of SNPs show significant LD differences (0.8-5%), these can introduce artificial signals of associations and reduce the power to detect true associations in case-control designs, even when meta-analytic approaches are used to account for stratification.We show that combining trios from different populations in the presence of significant LD differences can adversely affect power even though the number of trios has increased. Our results have implications on genetic studies conducted in populations with substantial population structure and show that the use of meta-analytic approaches or family-based designs to protect Type 1 error does not prevent loss of power due to differences in LD across populations.
Quantifying the expression of mRNAs in the gonads at the critical stage of molecular sex differentiation stage might help to clarify the regulatory network during early sex differentiation and provide new information on the role of sex-related genes in gonadal function. In this study, transcriptomic analysis of sex-related genes expression profiles in fugu gonads at 60 and 90 days after hatching (dah) was conducted firstly, and a total of 112,504,991 clean reads, encompassing 28.35 Gb of sequences were retrieved. Twenty-three thousand eight hundred ten genes were found to be expressed in juvenile fugu gonads, and we mainly focused on the differentially expressed genes that have the potential to be involved in the gonadal sex differentiation. For 60-dah juveniles, we identified 1014 genes that were upregulated in the ovary and 1570 that were upregulated in the testis. For 90-dah juveniles, we identified 1287 genes that were upregulated in the ovary and 1500 that were upregulated in the testis. The dimorphic expression patterns of 15 genes in gonads at 30 and 40 dah were further investigate using qPCR. Cyp11b and star were expressed at higher levels in XY than in XX, while cyp11a1 and cyp19a1a were expressed at higher levels in XX than in XY at 30 dah. At 40 dah, the levels of gsdf, dmrt1, dmrt3, cyp11c1, star, and hsd3b expression were higher in XY, while the levels of foxl2, cyp19a1a, wnt9b, and foxD4 expression were higher in XX. Sox9, cyp11a1, cyp17a1, cyp17a2, and nr5a2 were expressed at similar levels in XX and XY at 40 dah. This is the first report of gonadal transcriptome of fugu at early sex differentiation stage, and our results provide an archive for further study on molecular mechanism underlying sex differentiation in this species.
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