The cerebral cortex, a thin but intricately folded layer of neural tissue covering the brain’s surface, is the command center for cognition, perception, and voluntary behavior. Traditional neuroscientific approaches have long sought to segment this complex tissue into distinct regions or “parcellations” based on structural and functional features. However, earlier methods often relied on a single imaging modality such as magnetic resonance imaging (MRI), which, while powerful, limits the granularity and functional relevance of the identified regions. The innovation driving this latest work lies in the adoption of multimodal techniques that synthesize different imaging data sources—such as functional MRI (fMRI), diffusion tensor imaging (DTI), and structural MRI—offering a multidimensional view of cortical organization.

Delving deeper into the methodology, the research team implemented a sophisticated framework that leverages complementary data streams to define cortical parcels with greater anatomical fidelity and cognitive significance. Functional MRI provides dynamic insights by measuring blood oxygenation changes reflective of neural activity, capturing how different brain areas engage during cognitive tasks. Diffusion tensor imaging maps white matter tracts, illuminating structural connectivity patterns that underpin inter-regional communication. By combining these modalities with high-resolution anatomical scans, the investigators achieved a comprehensive cortical atlas that transcends mere anatomical landmarks and incorporates functional relevance, connectivity profiles, and microstructural characteristics.

One of the most transformative aspects of this study is the identification of novel cortical subdivisions that had eluded detection through unimodal analyses. These newly discovered areas exhibit distinct patterns of connectivity and activation, suggesting specific roles in cognitive processes such as working memory, attention regulation, and executive control. The implications of uncovering these regions are profound: they offer new targets for understanding the neural substrates of intelligence and cognitive variability in both healthy individuals and neuropsychiatric disorders. Moreover, these insights may help explain why some people excel in certain cognitive domains, opening doors for personalized cognitive enhancement strategies.

Further, the research underscores the dynamic interplay between cortical structure and function, challenging the traditional static view of neuroanatomical divisions. By integrating multimodal data, the scientists demonstrated that cognitive performance is linked not only to the presence of certain cortical areas but to their connectivity profiles and activity patterns under varying cognitive loads. This approach represents a paradigm shift in cognitive neuroscience, emphasizing an integrative perspective that captures the brain’s complexity and its adaptive capacity to support diverse mental operations.

From a clinical standpoint, the discoveries reported in this work promise to revolutionize the diagnosis and treatment of cognitive impairments. Disorders such as schizophrenia, Alzheimer’s disease, and autism spectrum disorders often involve subtle disruptions in cortical organization and connectivity. By providing a refined map of functionally significant cortical parcels, this research enables the identification of atypical patterns that may underlie these conditions. Furthermore, these findings set the stage for the development of biomarker-based approaches, employing neuroimaging data to predict disease risk, monitor progression, and tailor interventions to individual cortical profiles.

The research also offers vital insights into neurodevelopmental trajectories, as parcellation patterns evolve from infancy to adulthood. Understanding how these cortical regions emerge and specialize throughout development sheds light on critical windows for cognitive maturation and the potential impact of environmental and genetic factors. Longitudinal studies expanding on this multimodal parcellation framework could illuminate mechanisms of neuroplasticity and resilience, informing educational strategies and early interventions.

Technological advances undoubtedly played a crucial role in enabling this research. High-field MRI scanners, machine learning algorithms for image analysis, and advanced data fusion methods collectively facilitated the extraction and integration of complex brain features. The study’s success highlights the increasingly interdisciplinary nature of neuroscience, where computational science, engineering, and biology converge to tackle some of the most intricate challenges.

Importantly, the study’s findings provoke broader questions about the very definition of brain regions. Traditional brain atlases, while useful, often suffer from inconsistencies and lack sensitivity to individual differences. The novel multimodal parcellations provide a more personalized and nuanced brain map, potentially redefining neuroanatomical nomenclature and guiding future research toward individualized neuroscience—a frontier aligned with precision medicine.

As the field moves forward, the data from this study offer a valuable resource for researchers aiming to connect genotype, brain phenotype, and cognitive behavior. Integrating cortical parcellation maps with genetic, epigenetic, and environmental data sets may unlock complex mechanisms governing cognition and brain health. Such integrative approaches could ultimately lead to breakthroughs in enhancing cognitive capacities and mitigating deficits across the lifespan.

Moreover, the study emphasizes the importance of open science and data sharing. By making their cortical parcellation maps and analytical pipelines accessible to the scientific community, the authors foster collaborative efforts that accelerate discoveries. This cooperative model ensures that the insights and tools generated extend beyond a single study, catalyzing a broader transformation in neuroscience research methodologies.

The implications of these findings are not confined solely to academic circles but extend into educational domains and public health policy. By elucidating specific brain regions linked to cognitive strengths and weaknesses, educators and clinicians can design targeted training programs to maximize cognitive potential or rehabilitate impaired functions. Policymakers might utilize such scientific evidence to allocate resources toward mental health initiatives that are informed by cutting-edge neuroscience.

Finally, this study acts as a clarion call to revisit how we conceptualize and study the brain in both health and disease. It encourages a move away from reductionist models toward embracing the brain’s multifaceted nature as revealed through integrative multimodal imaging. As neuroscience continues to evolve, studies like this illuminate pathways to unlock the mysteries of cognitive function, transforming our understanding of the human mind and its boundless capabilities.

In summary, the deployment of multimodal cortical parcellations marks a transformative step in cognitive neuroscience, providing unprecedented clarity into the cerebral cortex’s organization and its relationship with cognitive performance. This innovative approach not only identifies novel functionally significant brain regions but also redefines how we explore and interpret individual variability in cognition. The translational potential of these findings heralds a future where precision maps of the brain inform diagnosis, treatment, and enhancement of cognitive function, offering hope and insight into the intricacies of the human mind.

Subject of Research: Identification of novel cerebral cortex regions related to cognitive performance using multimodal cortical parcellations.

Article Title: Using multimodal cortical parcellations to identify novel regions of the human cerebral cortex associated with cognitive performance.

Article References:
Qiu, S., Zhang, Z., Liang, H. et al. Using multimodal cortical parcellations to identify novel regions of the human cerebral cortex associated with cognitive performance. Transl Psychiatry (2026). https://doi.org/10.1038/s41398-025-03803-8

Image Credits: AI Generated

DOI: https://doi.org/10.1038/s41398-025-03803-8

White matter hyperintensities are lesions that appear as bright spots on certain MRI sequences, notably fluid-attenuated inversion recovery (FLAIR) images. While they are commonly detected in older adults, their clinical impact ranges widely, from incidental findings to being strongly associated with cognitive decline, stroke, and other cerebral pathologies. Until now, research had mostly characterized WMHs in a static manner, focusing on their volume or overall burden at a single time point, but little was known about their dynamic spatiotemporal progression. This new study from Chung, Park, Ryu, and colleagues addresses this gap by harnessing advanced longitudinal imaging techniques combined with sophisticated computational models to track the evolution of WMHs with unprecedented granularity.

The researchers analyzed large-scale longitudinal MRI data spanning multiple years from a diverse cohort of aging individuals. Employing cutting-edge segmentation algorithms, they precisely delineated WMH regions at successive time intervals. Crucially, they did not just quantify overall lesion volume but mapped changes across distinct white matter tracts and cerebral regions. This allowed the team to detect specific patterns in how WMHs emerged, expanded, and interacted with surrounding brain tissue over time. These spatiotemporal trajectories revealed that WMHs do not grow in a uniform or random manner; rather, they follow regionally distinct patterns that may reflect underlying pathophysiological mechanisms unique to various brain areas.

A central finding of the study is that the progression of WMHs exhibits distinct phases that vary across brain regions. Early in the disease course, certain periventricular regions—adjacent to the brain’s fluid-filled ventricles—showed rapid lesion expansion, whereas deep white matter areas exhibited more gradual changes. Intriguingly, posterior regions of the brain had markedly different progression timelines compared to frontal regions, suggesting a region-specific vulnerability or differing disease drivers. The study’s fine-scaled temporal resolution illuminated these differences, which could not be appreciated with single-timepoint imaging snapshots.

The team also identified that spatiotemporal progression patterns were significantly associated with vascular risk factors, such as hypertension and diabetes, as well as markers of small vessel disease seen in other imaging modalities. This implies that WMHs likely result from complex interactions between vascular dysfunction and neurodegenerative processes, rather than isolated insults. The differential regional susceptibility to WMH progression might thus be influenced by variations in vascular supply, blood-brain barrier integrity, or local metabolic demands—a hypothesis that now deserves further mechanistic inquiry.

Advanced machine learning techniques played a pivotal role in uncovering these patterns. By training algorithms on longitudinal imaging datasets, the researchers developed models capable of predicting future WMH growth trajectories in individual patients. These predictive models have the potential to be integrated into clinical workflows, enabling neurologists and radiologists to forecast lesion evolution and intervene proactively. For example, patients exhibiting early rapid WMH expansion in key brain regions might benefit from intensified vascular risk management or experimental therapeutics aimed at preserving white matter integrity.

Moreover, this study challenges the existing paradigm that treats WMHs as a monolithic entity. Instead, it posits that WMHs represent a heterogeneous collection of pathologies with distinct spatiotemporal dynamics that relate differently to clinical outcomes. This holds enormous implications for clinical trials, as treatments might need to be tailored based on the lesion distribution patterns and individual patient trajectories rather than simply targeting global WMH load.

Neuroscientists and clinicians alike are excited by the potential for these spatiotemporal insights to unravel the complex interplay between aging, vascular health, and neurodegeneration. By understanding where and when white matter is most vulnerable, future interventions could be precision-guided to protect critical networks that support cognition and motor function. The deep longitudinal approach also opens a new frontier for biomarker development, offering dynamic rather than static indicators of disease progression.

The significance of this work extends beyond cognitive impairment and dementia, as WMHs are also implicated in mood disorders, gait abnormalities, and stroke recovery. The detailed mapping of lesion progression could elucidate differential susceptibilities across neurological conditions and help tailor rehabilitation protocols. Additionally, it underscores the invaluable contribution of longitudinal neuroimaging cohorts empowered by evolving computational tools, setting a new standard for brain aging research.

Importantly, the study authors advocate for expanded longitudinal imaging efforts encompassing more diverse populations. Because WMH burden and progression can be influenced by genetic factors, lifestyle, and comorbidities, broader datasets will be critical to validate and refine predictive models. Also, harmonizing imaging protocols and data sharing platforms will accelerate translation of these insights into widespread clinical use.

In conclusion, this transformative study heralds a new era in understanding white matter hyperintensities beyond static volumetric assessments. By capturing the distinct spatiotemporal patterns of lesion progression, researchers have charted a detailed atlas of white matter vulnerability and resilience during aging. As these findings permeate clinical practice and research, they promise to fuel innovative approaches in diagnostics, prognostics, and therapeutics aiming to combat brain aging and its devastating sequelae.

Looking forward, integrating multimodal neuroimaging, genetic profiles, and fluid biomarkers with the presented spatiotemporal WMH frameworks may unlock even deeper mechanistic insights. The eventual goal is to design personalized medicine strategies where interventions are precisely timed and targeted based on a patient’s unique lesion progression pattern. This effort reflects the cutting edge of neuroscience—one that embraces complexity and leverages technology to decode the intricate narrative of brain health over time.

This work also exemplifies how collaboration across disciplines—neurology, radiology, bioinformatics, and machine learning—can yield breakthroughs that neither could achieve alone. It underscores the importance of investing in longitudinal cohort studies and pioneering analytics infrastructure, which together act as a launchpad for discoveries that will define the next generation of brain health research.

Given the increasing global burden of age-related cognitive and motor decline, this research arrives at a critical juncture. Its implications ripple through public health, clinical practice, and fundamental neuroscience, offering new hope for delaying or preventing debilitating brain disorders. The granular, dynamic portrait of WMHs detailed by Chung and colleagues will undoubtedly become a cornerstone reference, guiding future studies and innovations aimed at preserving white matter integrity throughout the lifespan.

As scientists continue to explore the pathways and consequences of white matter hyperintensity progression, this pioneering study serves as a reminder of the brain’s remarkable complexity—and the profound benefits of technological and conceptual advances in unravelling it. It is a tour de force in neuroimaging research and a significant step toward a future where brain aging can be better understood, managed, and ultimately mitigated.

Subject of Research: The spatiotemporal progression patterns of white matter hyperintensities in the human brain and their implications for aging and neurological diseases.

Article Title: Distinct spatiotemporal patterns of white matter hyperintensity progression.

Article References:
Chung, J., Park, G., Ryu, WS. et al. Distinct spatiotemporal patterns of white matter hyperintensity progression. Nat Commun 16, 9360 (2025). https://doi.org/10.1038/s41467-025-64704-4

Image Credits: AI Generated

The hippocampus, an integral brain structure known primarily for its role in memory formation and emotional regulation, has long been studied for its involvement in various neurological and psychiatric conditions. In disorders such as autism spectrum disorder (ASD), epilepsy, and Alzheimer’s disease, this brain region exhibits dysfunctional neural activity, yet existing treatments have predominantly addressed symptoms on a disease-by-disease basis. Dr. Scott challenges this paradigm by hypothesizing a unifying mechanism of neural network disruption within the hippocampus that transcends these seemingly disparate illnesses.

Central to this investigation is the concept of shared abnormal neural dynamics—a convergence of pathological brain activities that underpin diverse clinical manifestations. By leveraging advanced neuroimaging techniques, electrophysiological recordings, and computational data analyses, the research will map the intricate network perturbations that degrade hippocampal function. This integrative approach holds promise for unveiling new therapeutic targets that could restore optimal neural coherence and enhance cognitive and emotional health across multiple neurodevelopmental and neurodegenerative spectra.

The NIH Director’s Transformative Research Award underlines the high-risk, high-reward nature of Dr. Scott’s work, fostering innovation that pushes beyond conventional scientific boundaries. Unlike traditional grants, these awards encourage multidisciplinary methodologies capable of yielding paradigm-shifting insights. Dr. Scott’s team is uniquely positioned to realize this vision through collaboration with co-principal investigator Dr. Matt Mahoney, a distinguished Principal Computational Scientist at the Jackson Laboratory. Together, they are developing sophisticated living and computational models that simulate hippocampal network dynamics under pathological conditions.

This dual-pronged experimental strategy combines the collection of biological data from patient-derived samples and in vivo models with quantitative mathematical frameworks capable of dissecting complex neural circuitry. Utilizing state-of-the-art machine learning algorithms and systems neuroscience methodologies, the computational team will analyze vast datasets to detect subtle but critical patterns of dysfunction, accelerating hypothesis testing and iterative model refinement. The synergy between empirical biology and computational modeling exemplifies the cutting-edge intersection of neuroscience and data science.

Dr. Scott’s extensive international medical and scientific experience, spanning institutions from Zimbabwe to England and now to the United States, has contributed to pioneering developments in epilepsy management and theoretical frameworks derived from complex adaptive systems theory. These frameworks consider the brain as a dynamic system with self-organizing capabilities, insightfully capturing how local neuronal disruptions can cascade into widespread cognitive impairment. By applying such principles to autism and Alzheimer’s disease, the research aspires to integrate clinical neurology with mathematical rigor and bioengineering innovation.

Moreover, Dr. Scott holds professorial appointments at Sidney Kimmel Medical College at Thomas Jefferson University and the University of Delaware, reflecting his expertise at the nexus of neurology, pediatrics, and biomedical engineering. This multidisciplinary academic positioning enhances the translational potential of his research, facilitating the movement from bench to bedside and back again. It also reinforces the collaborative network essential for tackling neurological disorders that are multifactorial and notoriously difficult to treat.

Nemours Children’s Health, as one of the nation’s premier pediatric healthcare systems, underscores its commitment to innovative research through support of this project. The institution’s philosophy embraces a holistic understanding of child health that extends beyond symptomatic treatment. Research endeavors like Dr. Scott’s exemplify this ethos by striving not only to elucidate underlying disease mechanisms but also to improve patients’ life quality across the lifespan, addressing cognitive function and emotional well-being in both childhood and adulthood.

The project’s potential to identify a shared faulty mechanism in the hippocampus carries profound clinical implications. If successful, it could usher in a new era of neuromodulatory treatments, such as targeted brain stimulation therapies designed to recalibrate dysfunctional neural networks. These strategies might transcend individualized disease labels, offering more effective and generalized interventions for neurological and neurodevelopmental diseases. Such advances could markedly reduce suffering and disability associated with these conditions on a global scale.

Furthermore, the collaboration between clinical neurologists and computational scientists represents a powerful model of interdisciplinary research that is increasingly necessary for tackling the complexity of brain disorders. By integrating clinical insights with theoretical modeling, the project could generate novel biomarkers and therapeutic targets that conventional, siloed approaches might overlook. This pioneering research trajectory aligns with the broader NIH initiative to foster innovation that breaks through entrenched investigative paradigms.

As Dr. Matthew M. Davis, Executive Vice President and Chief Scientific Officer at Nemours Children’s Health, articulates, this award affords a unique opportunity to nurture transformative ideas that challenge prevailing conceptions. The high-risk nature of the research is balanced by the potentially high rewards in terms of scientific breakthroughs and improved patient outcomes. Dr. Scott’s work exemplifies this balance, combining visionary hypotheses with a robust methodological framework and collaborative expertise.

Overall, this research initiative represents a critical stride in the quest to unravel how intertwined pathological mechanisms within the hippocampus contribute to complex brain disorders. Unlocking these secrets could catalyze the development of novel brain stimulation modalities and other therapeutic innovations, comprehensively addressing conditions that currently entail significant unmet medical needs. The impact of Dr. Scott’s NIH-funded project is not only scientific but profoundly human, heralding hope for millions affected by autism, epilepsy, Alzheimer’s, and related disorders.

Nemours Children’s Health continues to lead in pediatric clinical care, research, and education, applying a whole-child approach that recognizes the interconnectedness of biological, psychological, and environmental factors. Supporting trailblazing research such as this ensures that future generations will benefit from cutting-edge science translated into tangible health improvements. As this pioneering work unfolds, it promises to contribute substantially to the global effort to understand and treat some of the most challenging neurological diseases of our time.

Subject of Research: Neurological dysfunction in the hippocampus across autism, epilepsy, and Alzheimer’s disease; identification of shared brain activity patterns; development of novel brain stimulation therapies.

Article Title: NIH Director’s Transformative Research Award Fuels Pioneering Study of Shared Hippocampal Dysfunction in Autism, Epilepsy, and Alzheimer’s

News Publication Date: October 15, 2025

Web References: Nemours.org; NIH Director’s Transformative Research Award program page

Keywords: Neurology, Hippocampus, Autism, Epilepsy, Alzheimer’s Disease, Neural Networks, Brain Stimulation, Neuroscience, Computational Modeling, Neurodevelopmental Disorders, Neurodegenerative Diseases

Verkhratsky’s scientific journey is as remarkable as his discoveries. Beginning his career in the late 1970s at Soviet-era Kiev, he was immersed in the nascent field of electrophysiology, collaborating with some of the luminaries who later received Nobel acclaim for their patch-clamp techniques. These early experiences laid a solid electrophysiological foundation, but his intellectual trajectory took a transformative turn in 1989 when Helmut Kettenmann introduced him to neuroglial research during his time in Heidelberg. This encounter catalyzed a redefinition of his scientific focus toward the complex roles of glial cells.

Central to Verkhratsky’s breakthroughs is the revelation of intracellular excitability in neuroglia, a stark contrast to the well-characterized electrical excitability of neurons. Unlike neurons, which rely on plasma membrane-driven action potentials, glial cells exhibit intracellular signaling governed by intricate spatiotemporal dynamics of ions and second messengers such as calcium and sodium. His landmark 1990 publication detailed the presence of voltage-gated calcium channels in oligodendrocyte precursors—cells capable of generating action potential-like phenomena despite their non-neuronal identity. Further advancing this concept, Verkhratsky proposed astrocytic sodium signaling as a rapid, homeostatic response mechanism, translating neuronal activity into astrocytic modulation, thus highlighting glia’s role in maintaining brain equilibrium.

This conceptual revolution carries profound therapeutic implications. Targeting neuroglial ion channels and second messenger pathways offers a novel strategy to restore cerebral homeostasis altered in various neuropathologies. Such an approach differs fundamentally from neuron-focused interventions by potentially preventing or mitigating secondary damage cascades that follow brain injuries and neurodegenerative processes. The prospect of modulating glial function introduces new hope for conditions long considered intractable, including stroke, chronic pain syndromes, and dementia.

One of the most disruptive findings from Verkhratsky’s research confronts the dominant toxic gliosis hypothesis. Traditionally, glial cells were viewed primarily as latent instigators of neuronal damage via inflammatory overactivation. Contrarily, Verkhratsky’s data indicate that in aging and disease, neuroglia undergo atrophy and functional decline rather than hyperactivation. He posits that it is this loss of glial homeostatic support—not hostile inflammation—that precipitates and propagates neuronal injury. This fresh perspective reframes glial cells as crucial neuroprotective agents whose deterioration may be a root cause of pathology rather than a secondary consequence.

The implications of neuroglial atrophy extend across diverse neurological disorders. In Alzheimer’s disease, astroglial atrophy correlates strongly with neuronal degeneration. Multiple sclerosis exhibits parallel patterns with dysfunctional glia accompanying demyelination. Even cerebral small vessel disease, historically interpreted through purely vascular lenses, involves significant glial malfunction. These findings suggest that therapeutic paradigms should shift toward enhancing glial viability and function instead of merely dampening inflammation, thereby potentially slowing or arresting disease progression.

Verkhratsky’s interest in broadening the therapeutic landscape includes exploring traditional Chinese medicine (TCM) compounds for their ability to support neuroglial homeostasis. This integrative approach embodies a cross-cultural scientific philosophy that values diverse medical traditions and innovation. Identifying bioactive agents within TCM that potentiate glial functions could accelerate the development of widely accessible, safe, and effective brain therapeutics that complement cutting-edge biomedical research.

An internationalist by philosophy, Verkhratsky’s collaborative network spans the globe. His sustained partnerships with researchers at Kyushu University in Japan have enriched his electrophysiological and molecular insights. Collaborations with Canadian scientists introduced him to the multifaceted roles of microglia, the brain’s resident immune cells, while Chinese colleagues have illuminated complex interactions between oligodendrocytes, microglia, and astrocytes within pathological frameworks. Such global cooperation facilitates holistic understanding, merging distinct scientific traditions and methodologies to unravel the multifarious nature of neuroglia.

Moreover, Verkhratsky’s research breadth is notable for its refusal to be confined to narrow domains. His laboratory concurrently investigates neuropsychiatric disorders, brain trauma, autoimmune diseases, stroke, and chronic pain. This intellectual omnivory reveals surprising mechanistic overlaps; for instance, pathophysiological patterns identified in stroke models have informed psychiatric disorder research, while chronic pain studies shed light on pathologies underlying dementia. This synthesis of knowledge embodies the complexity and interconnectedness of brain diseases.

A towering achievement in Verkhratsky’s career is the publication of a comprehensive 730-page reference book on neuroglia in 2023, co-authored with Arthur Butt. This exhaustive tome chronicles the evolution of neuroglial research from early historical observations to cutting-edge experimental findings and clinical implications. It serves as an indispensable resource for emerging and established neuroscientists, encapsulating the state-of-the-art knowledge required to propel the field forward. The book exists in multiple languages, including a first-of-its-kind Chinese edition, reflecting the international scope of neuroglial investigation.

Recognition from prestigious scientific academies attests to Verkhratsky’s monumental influence. His election to the German National Academy of Sciences Leopoldina, Academia Europaea, and numerous other European academies underscores the transformative nature of his contributions. With over 600 scientific publications, his prolific output continuously reshapes fundamental neuroscience concepts, placing neuroglia at the heart of brain function and dysfunction paradigms.

Despite his theoretical and academic achievements, Verkhratsky maintains a clear-eyed focus on translational impact. He asserts that “knowing pathophysiology makes finding the cure a technical issue,” emphasizing a pragmatic approach that harnesses mechanistic understanding to drive therapeutic innovation. His diversified research portfolio reflects this ethos, assembling puzzle pieces from multiple disease models to inform comprehensive, glia-targeted treatment strategies aimed at restoring brain health globally.

This enlightening interview is part of Genomic Press’s “Innovators & Ideas” series, which spotlights pioneering scientists who redefine their disciplines. By blending profound scientific insights with personal reflections, the series invites readers into the intellectual and human journeys behind groundbreaking discoveries. Professor Verkhratsky’s story serves as a vivid testament to how perseverance, curiosity, and cross-disciplinary collaboration can revolutionize entire fields and offer hope for devastating neurological illnesses.

Brain Medicine (ISSN: 2997-2639 online; 2997-2647 print), the journal publishing this interview, represents a bold frontier for neuroscience research. As a peer-reviewed platform dedicated to bridging fundamental discoveries and clinical applications, it emphasizes translational innovation across all brain disorders and clinical disciplines. The journal’s open access ethos ensures that pioneering research such as Verkhratsky’s is freely available to catalyze progress in neuroscience worldwide.

Subject of Research: People

Article Title: Alexei Verkhratsky: From neuroglial pathophysiology to therapeutic strategies for brain disorders

News Publication Date: 26-Aug-2025

Web References:
https://doi.org/10.61373/bm025k.0101

References:
A. Verkhratsky, B. Li, S. Duan, Y. Tang & A. Butt, eds, 2023: 神经胶质细胞 [The Textbook of Glial Cells, in Chinese], The People’s Medical Publishing House, ISBN: 978-7-117-34321-3

Image Credits: Alexei Verkhratsky

Keywords: neuroglia, neuroscience, brain function, intracellular excitability, astrocytes, oligodendrocytes, glial atrophy, neurodegeneration, electrophysiology, neurological therapeutics, neuroinflammation, brain homeostasis