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Brain organoid technology has revolutionized the ability to model human neurodevelopment in vitro. However, current techniques remain limited by their reliance on simplified endothelial cell populations. Multi‐Region Brain Organoids (MRBOs) are engineered that integrate cerebral, mid/hindbrain, and complex endothelial organoids into one structure. Unlike earlier approaches based on isolated Human Umbilical Vein Endothelial Cells, the endothelial organoids contain diverse vascular cell types, including progenitors, mature endothelial cells, pericytes, proliferating angiogenic cells, and stromal cells. The strategy employs sequential modulation of key developmental pathways to generate individual organoids, followed by optimized fusion conditions that maintain regional identities while supporting cellular integration. Single‐nucleus RNA sequencing reveals that MRBOs develop discrete neural populations specific to each brain region alongside specialized endothelial populations that establish paracrine signaling networks. Integration analysis with human fetal brain data shows that MRBOs contribute to 80% of cellular clusters found in human fetal brain tissue (Carnegie stages 12–16). CellChat analysis identifies 13 previously uncharacterized endothelial‐neural signaling interactions. Endothelial‐derived factors are uncovered that support intermediate progenitor populations during hindbrain development, but not cerebral development, revealing a role for endothelial populations in regional brain patterning. This platform enables matching of multiple developmental regions while incorporating endothelial components, providing opportunities for studying neurodevelopmental disorders with disrupted neural‐endothelial interactions. Multi‐Region Brain Organoids combine cerebral, mid/hindbrain, and endothelial components into an advanced 3D model capturing 80% of fetal brain cellular diversity. This platform reveals essential endothelial‐neural signaling networks that maintain region‐specific intermediate progenitors during hindbrain development. With improved functional integration and early blood‐brain barrier formation, these organoids enable investigation of neurodevelopmental disorders with vascular involvement across multiple brain regions.

Introduction: Peppermint essential oil (PEO) and its main component, menthol, are used in Western and Eastern traditional medicine for their anti‐spasmodic, anti‐septic, or anti‐pruritic properties. Although topical application of PEO exhibits anti‐pruritic efficacy, the effects of PEO inhalation on itch sensation and pruritic behavior remain unclear. We aimed to determine whether PEO inhalation alleviates pruritus and itch‐responsive neural activity in the brains of mice with hapten‐induced dermatitis under acute stress conditions. Methods: Forty‐one female BALB/c mice were randomly assigned to six experimental groups. Twenty‐nine mice were subjected to oxazolone (OXA)‐induced dermatitis through an initial sensitization followed by three rounds of topical application of OXA every other day. During the final OXA application, twenty‐two mice were exposed to restraint stress for 2 h. Sixteen mice were subjected to the inhalation of 2.5% PEO. The total duration of scratching bouts and the number of c‐Fos‐positive cells in the parabrachial nucleus, central amygdala, periaqueductal gray, and ventral tegmental area were quantified. Results: PEO inhalation reduced the duration of scratching behavior induced by the combination of repeated OXA application and acute restraint stress. The c‐Fos‐positive cell number in the tested brain regions, except the ventral tegmental area, was positively correlated with the pruritic response. PEO inhalation alleviates OXA‐ or stress‐induced pruritus by modulating neuronal activity in itch‐related brain regions. Conclusion: Acute restraint stress exacerbates itch, and PEO inhalation alleviates the stress‐associated aggravation of pruritus caused by OXA‐induced dermatitis, which is associated with the modulation of neuronal activity in itch‐related brain regions. Acute restraint stress increased the total duration of scratching behavior in mice regardless of whether dermatitis is present. The number of c‐Fos‐positive cells correlated with pruritic responses. Inhalation of peppermint essential oil alleviated OXA‐induced pruritus under stress conditions and increased the number of c‐Fos‐positive cells in the itch‐responsive brain region.

The neural circuits responsible for animal behavior remain largely unknown. We summarize new methods and present the circuitry of a large fraction of the brain of the fruit fly Drosophila melanogaster . Improved methods include new procedures to prepare, image, align, segment, find synapses in, and proofread such large data sets. We define cell types, refine computational compartments, and provide an exhaustive atlas of cell examples and types, many of them novel. We provide detailed circuits consisting of neurons and their chemical synapses for most of the central brain. We make the data public and simplify access, reducing the effort needed to answer circuit questions, and provide procedures linking the neurons defined by our analysis with genetic reagents. Biologically, we examine distributions of connection strengths, neural motifs on different scales, electrical consequences of compartmentalization, and evidence that maximizing packing density is an important criterion in the evolution of the fly’s brain. Animal brains of all sizes, from the smallest to the largest, work in broadly similar ways. Studying the brain of any one animal in depth can thus reveal the general principles behind the workings of all brains. The fruit fly Drosophila is a popular choice for such research. With about 100,000 neurons – compared to some 86 billion in humans – the fly brain is small enough to study at the level of individual cells. But it nevertheless supports a range of complex behaviors, including navigation, courtship and learning. Thanks to decades of research, scientists now have a good understanding of which parts of the fruit fly brain support particular behaviors. But exactly how they do this is often unclear. This is because previous studies showing the connections between cells only covered small areas of the brain. This is like trying to understand a novel when all you can see is a few isolated paragraphs. To solve this problem, Scheffer, Xu, Januszewski, Lu, Takemura, Hayworth, Huang, Shinomiya et al. prepared the first complete map of the entire central region of the fruit fly brain. The central brain consists of approximately 25,000 neurons and around 20 million connections. To prepare the map – or connectome – the brain was cut into very thin 8nm slices and photographed with an electron microscope. A three-dimensional map of the neurons and connections in the brain was then reconstructed from these images using machine learning algorithms. Finally, Scheffer et al. used the new connectome to obtain further insights into the circuits that support specific fruit fly behaviors. The central brain connectome is freely available online for anyone to access. When used in combination with existing methods, the map will make it easier to understand how the fly brain works, and how and why it can fail to work correctly. Many of these findings will likely apply to larger brains, including our own. In the long run, studying the fly connectome may therefore lead to a better understanding of the human brain and its disorders. Performing a similar analysis on the brain of a small mammal, by scaling up the methods here, will be a likely next step along this path.

Glial cell line-derived neurotrophic factor (GDNF) plays a critical role in neuronal survival and function. GDNF has two major splice variants in the brain, α-pro-GDNF and β-pro-GDNF, and both isoforms have strong neuroprotective effects on dopamine neurons. However, the expression of the GDNF splice variants in dopaminergic neurons in the brain remains unclear. Therefore, in this study, we investigated the mRNA and protein expression of α- and β-pro-GDNF in the mouse brain by real-time quantitative polymerase chain reaction, using splice variant-specific primers, and western blot analysis. At the mRNA level, β-pro-GDNF expression was significantly greater than that of α-pro-GDNF in the mouse brain. In contrast, at the protein level, α-pro-GDNF expression was markedly greater than that of β-pro-GDNF. To clarify the mechanism underlying this inverse relationship in mRNA and protein expression levels of the GDNF splice variants, we analyzed the expression of sorting protein-related receptor with A-type repeats (SorLA) by real-time quantitative polymerase chain reaction. At the mRNA level, SorLA was positively associated with β-pro-GDNF expression, but not with α-pro-GDNF expression. This suggests that the differential expression of α- and β-pro-GDNF in the mouse brain is related to SorLA expression. As a sorting protein, SorLA could contribute to the inverse relationship among the mRNA and protein levels of the GDNF isoforms. This study was approved by the Animal Ethics Committee of Xuzhou Medical University, China on July 14, 2016.

Reference brains are indispensable tools in human brain mapping, enabling integration of multimodal data into an anatomically realistic standard space. Available reference brains, however, are restricted to the macroscopic scale and do not provide information on the functionally important microscopic dimension. We created an ultrahigh-resolution three-dimensional (3D) model of a human brain at nearly cellular resolution of 20 micrometers, based on the reconstruction of 7404 histological sections. \"BigBrain\" is a free, publicly available tool that provides considerable neuroanatomical insight into the human brain, thereby allowing the extraction of microscopic data for modeling and simulation. BigBrain enables testing of hypotheses on optimal path lengths between interconnected cortical regions or on spatial organization of genetic patterning, redefining the traditional neuroanatomy maps such as those of Brodmann and von Economo.

Environmental pollution from heavy metals is a growing concern, largely driven by increased industrial activity. This study measured the concentrations of seven heavy metals—lead, cadmium, chromium, manganese, cobalt, copper, and iron—and two trace metals—magnesium and nickel—in the serum, cerebrum, cerebellum, and brainstem of the hedgehog (Eulipotyphla), pigeon (Columbiformes), cattle egret (Pelecaniformes), and two species of squirrel (Sciuromorpha), using Atomic Absorption Spectrophotometry. Among the metals tested, magnesium showed the highest concentrations across all sample types and brain regions in all studied animals. Magnesium levels reached as high as 817,598 µg/mL in the serum of female pigeons. Metal levels were generally higher than those reported in previous studies from other regions, except for cobalt, which was undetectable in the tested tissues. The highest concentrations for all metals were found in the serum. No consistent pattern was observed in metal concentrations across the brain regions. These findings reveal complex patterns of metal accumulation and distribution, potentially reflecting interspecies differences in physiology, diet, and environmental exposure. The data offers insights into metal presence in wildlife serum and brains. It will also provide crucial baseline dataset with information that can be invaluable for future ecological and environmental studies.

Identifying the relations among different regions of the brain is vital for a better understanding of how the brain functions. While a large number of studies have investigated the neuroanatomical and neurochemical connections among brain structures, their specific findings are found in publications scattered over a large number of years and different types of publications. Text mining techniques have provided the means to extract specific types of information from a large number of publications with the aim of presenting a larger, if not necessarily an exhaustive picture. By using natural language processing techniques, the present paper aims to identify connectivity relations among brain regions in general and relations relevant to the paraventricular nucleus of the thalamus (PVT) in particular. We introduce a linguistically motivated approach based on patterns defined over the constituency and dependency parse trees of sentences. Besides the presence of a relation between a pair of brain regions, the proposed method also identifies the directionality of the relation, which enables the creation and analysis of a directional brain region connectivity graph. The approach is evaluated over the manually annotated data sets of the WhiteText Project. In addition, as a case study, the method is applied to extract and analyze the connectivity graph of PVT, which is an important brain region that is considered to influence many functions ranging from arousal, motivation, and drug-seeking behavior to attention. The results of the PVT connectivity graph show that PVT may be a new target of research in mood assessment.

It is well known how the precise localization of glioblastoma multiforme (GBM) predicts the direction of tumor spread in the surrounding neuronal structures. The aim of the present review is to reveal the lateralization of GBM by evaluating the anatomical regions where it is frequently located as well as the main molecular alterations observed in different brain regions. According to the literature, the precise or most frequent lateralization of GBM has yet to be determined. However, it can be said that GBM is more frequently observed in the frontal lobe. Tractus and fascicles involved in GBM appear to be focused on the corticospinal tract, superior longitudinal I, II and III fascicles, arcuate fascicle long segment, frontal strait tract, and inferior fronto-occipital fasciculus. Considering the anatomical features of GBM and its brain involvement, it is logical that the main brain regions involved are the frontal-temporal-parietal-occipital lobes, respectively. Although tumor volumes are higher in the right hemisphere, it has been determined that the prognosis of patients diagnosed with cancer in the left hemisphere is worse, probably reflecting the anatomical distribution of some detrimental alterations such as TP53 mutations, PTEN loss, EGFR amplification, and MGMT promoter methylation. There are theories stating that the right hemisphere is less exposed to external influences in its development as it is responsible for the functions necessary for survival while tumors in the left hemisphere may be more aggressive. To shed light on specific anatomical and molecular features of GBM in different brain regions, the present review article is aimed at describing the main lateralization pathways as well as gene mutations or epigenetic modifications associated with the development of brain tumors.

Alzheimer’s disease (AD) is a neurodegenerative disorder that progressively involves brain regions with an often-predictable pattern. Damage to the brain appears to spread and worsen with time, but the molecular mechanisms underlying the region-specific distribution of AD pathology at different stages of the disease are still under-investigated. In this study, a whole-transcriptome analysis was carried out on brain samples from the hippocampus (HI), temporal and parietal cortices (TC and PC, respectively), cingulate cortex (CG), and substantia nigra (SN) of six subjects with a definite AD diagnosis and three healthy age-matched controls in duplicate. The transcriptomic results showed a greater number of differentially expressed genes (DEGs) in the TC (1571) and CG (1210) and a smaller number of DEGs in the HI (206), PC (109), and SN (60). Furthermore, the GSEA showed a difference between the group of brain areas affected early (HI and TC) and the group of areas that were subsequently involved (PC, CG, and SN). Notably, in the HI and TC, there was a significant downregulation of shared DEGs primarily involved in synaptic transmission, while in the PC, CG, and SN, there was a significant downregulation of genes primarily involved in protein folding and trafficking. The course of AD could follow a definite time- and severity-related pattern that arises from protein misfolding, as observed in the PC, CG, and SN, and leads to synaptic impairment, as observed in the HI and TC. Therefore, a map of the molecular and biological processes involved in AD pathogenesis may be traced. This could aid in the discovery of novel biological targets in order to develop effective and well-timed therapeutic approaches.

The neural mechanisms underlying language recovery after a stroke remain controversial. This review aimed to summarize the plasticity and reorganization mechanisms of the language network through neuroimaging studies. Initially, we discussed the involvement of right language homologues, perilesional tissue, and domain-general networks. Subsequently, we summarized the white matter functional mapping and remodeling mechanisms associated with language subskills. Finally, we explored how non-invasive brain stimulation (NIBS) promoted language recovery by inducing neural network plasticity. It was observed that the recruitment of right hemisphere language area homologues played a pivotal role in the early stages of frontal post-stroke aphasia (PSA), particularly in patients with larger lesions. Perilesional plasticity correlated with improved speech performance and prognosis. The domain-general networks could respond to increased “effort” in a task-dependent manner from the top-down when the downstream language network was impaired. Fluency, repetition, comprehension, naming, and reading skills exhibited overlapping and unique dual-pathway functional mapping models. In the acute phase, the structural remodeling of white matter tracts became challenging, with recovery predominantly dependent on cortical activation. Similar to the pattern of cortical activation, during the subacute and chronic phases, improvements in language functions depended, respectively, on the remodeling of right white matter tracts and the restoration of left-lateralized language structural network patterns. Moreover, the midline superior frontal gyrus/dorsal anterior cingulate cortex emerged as a promising target for NIBS. These findings offered theoretical insights for the early personalized treatment of aphasia after stroke.