Segment Of Region Research Articles

Multi-state economic contribution and multi-congressional district impact analysis of an inland waterway disruption

In spring 2019, the Oklahoma segment of the McClellan-Kerr Arkansas River Navigation System (OK-MKARNS), a significant in-land water transportation segment in the Central Great Plains region of the United States, was forced to close for months due to an extreme flooding event. The OK-MKARNS supports the economy of multiple states and their connection to domestic and international markets through the Mississippi River. However, the flood’s direct, indirect, and induced impacts on Oklahoma’s economy and the economies of the surrounding states of Arkansas, Colorado, and Kansas are unknown. The disruption’s impacts on the region’s economies are evaluated at the congressional district levels of these states using a multi-regional input–output model. Disruption of the waterway transportation resulted in a total loss ranging between 66 and 791 jobs, $15.36 to $175.04 million in output, and $6.08 to $72.98 million in value-added, depending on the duration of the delay experienced by industries. The magnitude of economic loss varied for each congressional district, depending on its economic base’s composition and proximity to the OK-MKARNS navigational system. These findings could be helpful to legislators and other decision-makers in allocating scarce resources toward the maintenance of navigable waterway infrastructure. The multi-regional focus of the analysis also suggests a potential role concerning collaborative efforts between legislators across state borders to garner federal spending to support navigable waterway services.

Genome analyses reveal population structure and a purple stigma color gene candidate in finger millet

Finger millet is a key food security crop widely grown in eastern Africa, India and Nepal. Long considered a ‘poor man’s crop’, finger millet has regained attention over the past decade for its climate resilience and the nutritional qualities of its grain. To bring finger millet breeding into the 21st century, here we present the assembly and annotation of a chromosome-scale reference genome. We show that this ~1.3 million years old allotetraploid has a high level of homoeologous gene retention and lacks subgenome dominance. Population structure is mainly driven by the differential presence of large wild segments in the pericentromeric regions of several chromosomes. Trait mapping, followed by variant analysis of gene candidates, reveals that loss of purple coloration of anthers and stigma is associated with loss-of-function mutations in the finger millet orthologs of the maize R1/B1 and Arabidopsis GL3/EGL3 anthocyanin regulatory genes. Proanthocyanidin production in seed is not affected by these gene knockouts.

Crystal structure of a variable region segment of Leptospira host-interacting outer surface protein, LigA, reveals the orientation of Ig-like domains

Leptospiral immunoglobulin-like (Lig) protein family is a surface-exposed protein from the pathogenic Leptospira. The Lig protein family has been identified as an essential virulence factor of L. interrogan. One of the family members, LigA, contains 13 homologous tandem repeats of bacterial Ig-like (Big) domains in its extracellular portion. It is crucial in binding with the host's Extracellular matrices (ECM) and complement factors. However, its vital role in the invasion and evasion of pathogenic Leptospira, structural details, and domain organization of the extracellular portion of this protein are not explored thoroughly. Here, we described the first high-resolution crystal structure of a variable region segment (LigA8–9) of LigA at 1.87 Å resolution. The structure showed some remarkably distinctive aspects compared with other closely related Immunoglobulin domains. The structure illustrated the relative orientation of two domains and highlighted the role of the linker region in the domain orientation. We also observed an apparent electron density of Ca2+ ions coordinated with a proper interacting geometry within the protein. Molecular dynamic simulations demonstrated the involvement of a linker salt bridge in providing rigidity between the two domains. Our study proposes an overall arrangement of Ig-like domains in the LigA protein. The structural understanding of the extracellular portion of LigA and its interaction with the ECM provides insight into developing new therapeutics directed toward leptospirosis.

Structure Reveals the Impact of Surface Charge Distribution on the Phase Separation and Aggregation of Slr0280.

Liquid-liquid phase separation (LLPS) plays a key role in the regulation of life activities. Here, we reported a protein from Synechocystis sp. PCC 6803 and annotated as Slr0280. To obtain a water-soluble protein, we deleted the N-terminus transmembrane domain and named it Slr0280Δ. Slr0280Δ with high concentration can undergo LLPS at a low temperature in vitro. It belongs to the phosphodiester glycosidase family of proteins and has a segment of a low-complexity sequence region (LCR), which is thought to regulate the LLPS. Our results show that electrostatic interactions impact the LLPS of Slr0280Δ. We also acquired the structure of Slr0280Δ, which has many grooves on the surface with a large distribution of positive and negative charges. This may be advantageous for the LLPS of Slr0280Δ through electrostatic interactions. Furthermore, the conserved amino acid (arginine at position 531) located on the LCR is important for maintaining the stability of Slr0280Δ as well as LLPS. Our research indicated that the LLPS of proteins can be transformed into aggregation by changing the surface charge distribution.

Сравнительный анализ федерального и регионального сегментов льготного лекарственного обеспечения на примере больных сахарным диабетом второго типа в Новосибирской области

Сравнительный анализ федерального и регионального сегментов льготного лекарственного обеспечения на примере больных сахарным диабетом второго типа в Новосибирской области

Size effects of silica on the viscosity of ultra‐high molecular weight polyethylene and its disentanglement mechanism

AbstractThe viscosity of the polymer composites is closely related to the size effect of the filler. In this study, the size effects of silica fillers on the viscosity of ultrahigh molecular weight polyethylene (UHMWPE) was investigated. The addition of 200 nm and 5 μm silica increase the viscosity, but the 7 nm silica can significantly decrease the viscosity. In order to understand the mechanism of this phenomenon, the multilevel factors of the sample in terms of matrix structure (amorphous phase entanglement, mesophase and crystalline region content) and the mobility of chain segments were analyzed. Rheology and DMA tests have shown that silica affects viscosity mainly by influencing the entanglement in the amorphous phase. Raman tests show that 7 nm silica decrease the viscosity mainly by affecting the content of the mesophase and the mobility of the chain segments in the amorphous region. The annealing process was investigated by Flash DSC, and it was found that 7 nm SiO2 can accelerate the mobility of UHMWPE chains to form a larger recrystallization area, and the addition of 200 nm and 5 μm SiO2 did not show a similar phenomenon, proving the strong size effect of SiO2 on the viscosity and disentanglement of UHMWPE.

Research Note: Identification of core promoter region of the polyunsaturated fatty acid synthesis-related gene family in chicken

Chicken is considered an ideal model species to study the synthesis of polyunsaturated fatty acids (PUFAs) due to its appropriate proportions of fatty acids and abundant content of PUFAs, suitable for human consumption. However, the molecular mechanisms regulating poultry PUFA synthesis remain unclear. Here, we systematically explored the transcriptional regulation activity of the gene family related to PUFA synthesis in chicken by carrying out the Dual-Luciferase Reporter Assay. We identified the core promoter regions of members of the chicken PUFA synthesis-related gene family, including ELOVL1, ELOVL2, ELOVL3, ELOVL4, ELOVL5, ELOVL6, ELOVL7, FADS1, FADS2, FADS6, SCD, and SCD5. Additionally, changes in relative fluorescence values of different truncated segments in the upstream regulatory region of these genes indicate the existence of regulatory regions. Furthermore, we predicted the transcription factors that bind to the identified core promoter regions of multiple genes, including Sp1, NF-1, C/EBPalpha, etc. These findings provide a basis for the molecular mechanisms regulating poultry PUFA synthesis and offer new scientific insight into the potential improvement of poultry meat quality in the future.

PRIORITY AREAS OF INNOVATION IN CORPORATE STRATEGIES OF MULTINATIONAL PHARMACEUTICAL COMPANIES IN GLOBAL COORDINATES

The purpose of the article is to substantiate global trends in the research and innovation activities of multinational pharmaceutical companies and to identify key directions of transformation in corporate innovation strategies in the context of increased international competition in the global pharmaceutical market. Methodology. The methodological basis of the work is the following methods of scientific research: dialectical, historical-logical, system-structural analysis of economic processes and phenomena, analysis and synthesis, the method of quantitative and qualitative comparisons. Results. One of the key global sustainable development goals of the United Nations for the period up to 2030 is to ensure the health and well-being of nations, which in global terms can be achieved primarily on the basis of the large-scale research activities of multinational pharmaceutical companies and the systematic commercialisation of the results of corporate research and development. In recent decades, under the influence of technoglobalisation processes, the innovatisation of pharmaceutical companies' activities has accelerated. It finds its concentrated expression in the steady increase of R&D costs, diversification of their structure, mass commercialisation of innovative developments and strengthening of their transdisciplinarity, accelerated capitalisation of R&D costs, etc. According to the world experience, the most effective innovative strategies of pharmaceutical companies today are such as mergers and acquisitions, strategic alliances of pharmaceutical and biotechnology companies, innovative outsourcing and insourcing, cointegration and pseudo-concentration, corporatisation of patent portfolios and research technologies, venture financing of R&D of pharmaceutical companies. At the same time, mergers and acquisitions are increasing the capitalisation of the global pharmaceutical industry, strengthening its expansion into global markets, redistributing its regional segments and diversifying the sources of funding for pharmaceutical companies' research activities. Value/оriginality. Current trends and features of corporate strategy formation in multinational pharmaceutical companies are identified. Strategic orientations of research activities of pharmaceutical companies in specialised areas of clinical research in the context of therapeutic categories are determined. The process of capitalisation of pharmaceutical companies is analysed and the tendency to activate the use of corporate mergers and acquisitions (M&A) strategy in the pharmaceutical business is revealed. It is proposed to create strategic alliances of multifunctional pharmaceutical companies with biotech companies using the M&A strategy. It is recommended that pharmaceutical companies strengthen their innovation orientation in the design of their strategies by combining patent portfolios and research technologies, as well as jointly implementing large-scale innovation programmes and projects.

Image semantic segmentation using deep learning technique

With the deepening research on image understanding in many application fields, including auto drive system, unmanned aerial vehicle (UAV) landing point judgment, virtual reality wearable devices, etc., computer vision and machine learning researchers are paying more and more attention to image semantic segmentation (ISS). In this paper, according to the different region generation algorithms, the regional classification image semantic segmentation methods are classified into the candidate region method and the segmentation mask method, according to different learning methods, the image semantic segmentation methods based on super pixels are divided into fully supervised learning method and weakly supervised learning method. The typical algorithms in these various categories are summarized and compared. In addition, this paper also systematically expounds the role of DL technology in the field of ISS, and discusses the main challenges and future development prospects in this field.

Measuring changes in neighborhood disorder using Google Street View longitudinal imagery: a feasibility study

ABSTRACT Few studies have used longitudinal imagery of Google Street View (GSV) despite its potential for measuring changes in urban streetscape characteristics relevant to health, such as neighborhood disorder. Neighborhood disorder has been previously associated with health outcomes. We conducted a feasibility study exploring image availability over time in the Philadelphia metropolitan region and describing changes in neighborhood disorder in this region between 2009, 2014, and 2019. Our team audited Street View images from 192 street segments in the Philadelphia Metropolitan Region. On each segment, we measured the number of images available through time, and for locations where imagery from more than one time point was available, we collected eight neighborhood disorder indicators at three different times (up to 2009, up to 2014, and up to 2019). More than 70% of the streets segments had at least one image. Neighborhood disorder increased between 2009 and 2019. Future studies should study the determinants of change of neighborhood disorder using longitudinal GSV imagery.

Machine learning for spatial stratification of progressive cardiovascular dysfunction in a murine model of type 2 diabetes mellitus.

Speckle tracking echocardiography (STE) has been utilized to evaluate independent spatial alterations in the diabetic heart, but the progressive manifestation of regional and segmental cardiac dysfunction in the type 2 diabetic (T2DM) heart remains understudied. Therefore, the objective of this study was to elucidate if machine learning could be utilized to reliably describe patterns of the progressive regional and segmental dysfunction that are associated with the development of cardiac contractile dysfunction in the T2DM heart. Non-invasive conventional echocardiography and STE datasets were utilized to segregate mice into two pre-determined groups, wild-type and Db/Db, at 5, 12, 20, and 25 weeks. A support vector machine model, which classifies data using a single line, or hyperplane, that best separates each class, and a ReliefF algorithm, which ranks features by how well each feature lends to the classification of data, were used to identify and rank cardiac regions, segments, and features by their ability to identify cardiac dysfunction. STE features more accurately segregated animals as diabetic or non-diabetic when compared with conventional echocardiography, and the ReliefF algorithm efficiently ranked STE features by their ability to identify cardiac dysfunction. The Septal region, and the AntSeptum segment, best identified cardiac dysfunction at 5, 20, and 25 weeks, with the AntSeptum also containing the greatest number of features which differed between diabetic and non-diabetic mice. Cardiac dysfunction manifests in a spatial and temporal fashion, and is defined by patterns of regional and segmental dysfunction in the T2DM heart which are identifiable using machine learning methodologies. Further, machine learning identified the Septal region and AntSeptum segment as locales of interest for therapeutic interventions aimed at ameliorating cardiac dysfunction in T2DM, suggesting that machine learning may provide a more thorough approach to managing contractile data with the intention of identifying experimental and therapeutic targets.

PANCREAS DISEASE DETECTION AND SEGMENTATION USING ABDOMINAL CT SCAN

Anomalies in the pancreas regional morphology and texture may now be examined by accurately segmenting the organs head, body, and tail on CT images. Hand-drawn pancreatic subregion mapping is labor-intensive, slow, and prone to mistakes. For the zonal segmentation of various anatomical properties, many deep learning networks have been utilized in the present approaches. The three subregions are almost ever visible together in the two-dimensional CT abdominal slices, which limits how the contextual data may be used by the current methods. In this study, we offer a multistage method that uses CT images of pancreatic subregions to accurately and automatically segment 3D objects. The U-Net model is then used to calculate the combined probability of the two maps to perform the best sub regional segmentation. The datasets D1 and D2 of contrast-enhanced abdominal CT images were used to assess the models performance together with a healthy pancreas from the public NIH dataset.

3D Printing Model of a Patient's Specific Lumbar Vertebra.

Selective dorsal rhizotomy (SDR) is a difficult, risky, and sophisticated operation, in which a laminectomy should not only expose an adequate surgical field of view but also protect the patient's spinal nerves from injury. Digital models play an important role in the pre-and intra-operation of SDR, because they can not only make doctors more familiar with the anatomical structure of the surgical site, but also provide precise surgical navigation coordinates for the manipulator. This study aims to create a 3D digital model of a patient-specific lumbar vertebra that can be used for planning, surgical navigation, and training of the SDR operation. The 3D printing model is also manufactured for more effective work during these processes. Traditional orthopedic digital models rely almost entirely on computed tomography (CT) data, which is less sensitive to soft tissues. Fusion of the bone structure from CT and the neural structure from magnetic resonance imaging (MRI) is the key element for the model reconstruction in this study. The patient's specific 3D digital model is reconstructed for the real appearance of the surgical area and shows the accurate measurement of inter-structural distances and regional segmentation, which can effectively help in the preoperative planning and training of SDR. The transparent bone structure material of the 3D-printed model allows surgeons to clearly distinguish the relative relationship between the spinal nerve and the vertebral plate of the operated segment, enhancing their anatomical understanding and spatial sense of the structure. The advantages of the individualized 3D digital model and its accurate relationship between spinal nerve and bone structures make this method a good choice for preoperative planning of SDR surgery.

Sexing of cattle embryos using RNA-sequencing data or polymerase chain reaction based on a complete sequence of cattle chromosome Y.

When necessary, RNA-sequencing data or polymerase chain reaction (PCR) assays can be used to determine the presence of the chromosome Y (ChrY) in samples. This information allows for biological variation due to sexual dimorphism to be studied. A prime example is when researchers conduct RNA-sequencing of single embryos, or conceptuses, prior to the development of gonads. A recent publication of a complete sequence of the ChrY has removed limitations for the development of these procedures in cattle, otherwise imposed by the absence of a ChrY in the reference genome. Using the sequence of the cattle ChrY and transcriptome data, we conducted a systematic search for genes in the ChrY that are exclusively expressed in male tissues. The genes ENSBIXG00000029763, ENSBIXG00000029774, ENSBIXG00000029788, and ENSBIXG00000029892 were consistently expressed across male tissues and lowly expressed or absent in female samples. We observed that the cumulative values of counts per million were 2688-fold greater in males than the equivalent values in female samples. Thus, we deemed these genes suitable for the sexing of samples using RNA-sequencing data. We successfully used this set of genes to infer the sex of 22 cattle blastocysts (8 females and 14 males). Additionally, the completed sequence of the cattle ChrY has segments in the male-specific region that are not repeated. We designed a pair of oligonucleotides that targets one of these non-repeated regions in the male-specific sequence of the ChrY. Using this pair of oligonucleotides, in a multiplexed PCR assay with oligonucleotides that anneal to an autosome chromosome, we accurately identified the sex of cattle blastocysts. We developed efficient procedures for the sexing of samples in cattle using either transcriptome data or their DNA. The procedures using RNA-sequencing will greatly benefit researchers who work with samples limited in cell numbers which are only sufficient to produce transcriptome data. The oligonucleotides used for the accurate sexing of samples using PCR are transferable to other cattle tissue samples.

Image segmentation for animals in the wild using scilab software

Image segmentation is an effective computer vision method that expands on the concept of object. Recognition and brings in a whole new era of image data manipulation. This method offers up so many options and may be performed in several ways. However, in this paper, threshold and channel image separation were employed to perform two types of segmentation. Thresholding is a regional segmentation in and of itself. However, thresholding alone is insufficient to properly segment the image, necessitating the employment of additional image processing techniques, such as the morphological process, to provide sharper segmentation. Depending on the color diversity of the image's pixels, different segmentation parameters, such as the thresholding value and structuring element for the morphological process, are required for image segmentation. Overall, the two images have been successfully segmented via two distinct methods

Mitochondrial diversity and genetic structure of common carp (Cyprinus carpio) in Pearl River and Nandujiang River.

Common carp (Cyprinus carpio) is an important valuable cyprinid in China and has been a popular cultured aquaculture species around the globe. Understanding the genetic diversity of wild native common carp not only provides basic data for the protection and utilisation of common carp resources but also assesses the effect of human activities on the genetic diversity of this species. In this study, genetic diversity and population structure of the common carp from 15 sampling populations in the Pearl River and Nandujiang River were determined using a coalescent mitochondrial locus (MLS), including mitochondrial cytochrome b gene (Cytb) and a control region (D-loop) segment. The haplotype diversity and nucleotide diversity were 0.962 and 0.00628 in the Pearl River and 0.808 and 0.00376 in the Nandujiang River, respectively. Phylogenetic and haplotype network analyses indicated that three sub-species (a) C. c. rubrofuscus, (b) C. c. haematopterus and (c) C. c. carpio all occur in both rivers. AMOVA revealed that the variation within populations (86.2%) was the main source of the total variation. Statistically significant genetic differentiation among different Pearl River populations of C. c. rubrofuscus (Fst = 0.05-0.25) and relatively high genetic differentiation between the Nandujiang River population and the Pearl River populations (Fst > 0.238) are apparent. Bayesian clustering analyses detected that global populations consisted of eight genetic clusters and examined that Nandujiang River population included relatively pure genetic clusters. Neutrality tests suggested that native populations experienced recent population expansion, and Extended Bayesian Skyline Plot indicated that the common carp populations likely experienced a historical expansion during 0.125-0.250MYA. Artificial fish propagation and release, escape from fish farms and Fang Sheng may explain the invasion of non-native sub-species in many river sections, such as Laibin, Rongjiang, Huizhou, Heyuan and Zhaoqing. To conserve the native common carp populations, release station should be established to culture native common carp fry. Overall, the findings can be contributed to complementing scientific knowledge for conservation and management of the wild native common carp.

Massive Intramedullary Ependymoma: A Case Report

Introduction: Intramedullary ependymoma (IE) is adults' most common intramedullary spinal tumor. Tumors usually extend one to eight segments in the cervical region. In this case report, we reported a patient with massive IE spanning from the fourth ventricle to the T4 segment of the spinal cord, which surgically treated with laminectomy from occiput to T4 Case Presentation: A 42-year-old man who is a known case of IE with progressive upper extremities paraesthesia and gait disturbance. Four years ago he refused surgery and presented with dysphagia. The patient's MRI demonstrated an intramedullary spinal cord tumor extending from the fourth ventricle to T4. Conclusions: massive spinal ependymoma is a rare, benign, slow-growing tumor, and patients present symptoms years before diagnosis. Upon confirmation of the diagnosis, the tumor must be surgically removed.

Cardiac patterns for differentiation of neurogenic stunned myocardium in aneurysmal subarachnoid hemorrhage versus acute ischemic stroke.

Neurogenic stunned myocardium (NSM) has heterogeneous presentations for acute ischemic stroke (AIS) and aneurysmal subarachnoid hemorrhage (SAH). We sought to better define NSM and differences between AIS and SAH by evaluating individual left ventricular (LV) functional patterns by speckle tracking echocardiography (STE). We evaluated consecutive patients with SAH and AIS. Via STE, LV longitudinal strain (LS) values of basal, mid, and apical segments were averaged and compared. Different multivariable logistic regression models were created by defining stroke subtype (SAH or AIS) and functional outcome as dependent variables. One hundred thirty-four patients with SAH and AIS were identified. Univariable analyses using the chi-squared test and independent samples t-test identified demographic variables and global and regional LS segments with significant differences. In multivariable logistic regression analysis, when comparing AIS to SAH, AIS was associated with older age (OR 1.07, 95% CI 1.02-1.13, p=0.01), poor clinical condition on admission (OR 7.74, 95% CI 2.33-25.71, p<0.001), decreased likelihood of elevated admission serum troponin (OR .09, 95% CI .02-.35, p<0.001), and worse LS basal segments (OR 1.18, 95% CI 1.02-1.37, p=0.03). In patients with neurogenic stunned myocardium, significantly impaired LV contraction by LS basal segments was found in patients with AIS but not with SAH. Individual LV segments in our combined SAH and AIS population were also not associated with clinical outcomes. Our findings suggest that strain echocardiography may identify subtle forms of NSM and help differentiate the NSM pathophysiology in SAH and AIS.

Cycle of Potential Fishing Area of WPP-NRI 711 Year 2011-2020

This study discussed the cycle of potential fishing areas in WPP-NRI 711 based on the distribution of Sea Surface Temperature (SST) and distribution of chlorophyll-a concentration using MODIS Aqua satellite imagery. The distribution of Potential Fishing Areas (PFA) was determined based on the distribution of the thermal front which was processed using MGET (Marine Geospatial Ecology Tools) and chlorophyll-a. Determination of fluctuations and the emergence period of PFA for 10 years (2011-2020) is carried out using wavelets. The results showed that the average SST in WPP-NRI 711 was 29 °C. The highest average SST is 31 °C in May of the Transitional I Season, and the lowest average temperature is 27.9 °C in February of the West Monsoon Season. The average chlorophyll-a concentration was 0.6 mg/m3, the highest average chlorophyll-a concentration was 0.76 mg/m3 in December West Monsoon Season, and the lowest average was 0.53 mg/m3 in October Transitional II Season. The average PFA distribution area is 1.111 km2, the highest average area is 1.324 km2 in the West Monsoon Season, then the lowest area is 924 km2 in the Transitional II Season. Based on global spectrum and wavelet analysis, it is known that the period of the appearance of PFA is 3-6 months or Seasonal. then in the Northern Region segment of WPP-NRI 711, covering the Natuna Sea, the appearance of PFA is strongly influenced by Seasonal current movements. Meanwhile in the southern part, including the Karimata Strait, the emergence of PFA is strongly influenced by river runoff and changing Seasons.

MRI Volumetric Analysis of the Hypothalamus and Limbic System across the Pediatric Age Span

Literature is scarce regarding volumetric measures of limbic system components across the pediatric age range. The purpose of this study is to remedy this scarcity by reporting continuous volumetric measurements of limbic system components, and to provide consistent stratification data including age-related trajectories and sex-related differences in the pediatric age range in order to improve the recognition of structural variations that might reflect pathology. In this retrospective study, MRI sequences of children with normal clinical MRI examinations of the brain acquired between January 2010 and December 2019 were included. Isotropic 3D T1-weighted were processed using FreeSurfer version 7.3. Total brain volume and volumes of the limbic system including the hippocampus, parahippocampal gyrus, amygdala, hypothalamus, cingulate gyrus, entorhinal cortex, anteroventral thalamic nucleus, and whole thalamus were assessed. Parcellated output was displayed with the respective label map overlay and images were visually inspected for accuracy of regional segmentation results. Continuous data are provided as mean and standard deviation with quadratic trendlines and as mean and 95% confidence intervals. Categorical data are presented as integers and percentages (%). A total of 724 children (401 female, 55.4%), with a mean age at time of MRI of 10.9 ± 4.2 years (range: 1.9-18.2 years), were included in the study. For females, the total brain volume increased from 955 ± 70 mL at the age of 2-3 years to 1140 ± 110 mL at the age of 17-18 years. Similarly, the total brain volume increased for males from 1004 ± 83 mL to 1263 ± 96 mL. The maximum volume was noted at 11-12 years for females (1188 ± 90 mL) and at 14-15 years for males (1310 ± 159 mL). Limbic system structures reached their peak volume more commonly between the 13-14 years to 17-18 years age groups. The male cingulate gyrus, entorhinal cortex, and anteroventral thalamic nucleus reached peak volume before or at 9-10 years. This study provides unique age- and sex-specific volumes of the components of the limbic system throughout the pediatric age range to serve as normal values in comparative studies. Quantification of volumetric abnormalities of the limbic system on brain MRI may offer insights into phenotypical variations of diseases and may help elucidate new pathological phenotypes.