The inception of Advanced Brain is a strategic expansion of Wiley’s renowned Advanced Portfolio, which is dedicated to high-impact journals that promote cross-disciplinary collaborations and streamline scientific publishing. The portfolio’s expansion aligns with Wiley’s broader vision of accelerating transformative science by facilitating easier submission processes and reducing redundant resubmissions, thereby enabling scientists to disseminate knowledge more efficiently. Researchers now have the advantage of publishing their work with increased flexibility and editorial support, ensuring that investigations reach their optimal audience and foster impactful interdisciplinary connections.

To underscore the journal’s goal of integrating multiple research perspectives, Advanced Brain is designed to cover the full continuum of the brain and mind, encompassing molecular and cellular neurobiology, systems neuroscience, cognitive processes, neuroimaging techniques, computational modeling, alongside translational and clinical research. Such a holistic approach reflects the recognition that neural complexity demands multifaceted investigative frameworks. This editorial scope offers opportunities for studies on neurodegeneration, brain injury, sensory disorders, mental health, neuroinflammation, and more, positioning the journal at the forefront of brain science innovation.

The leadership of Advanced Brain is entrusted to Editor-in-Chief Antonia Eisenkoeck, whose extensive background in prestigious publishing roles—formerly with The Lancet Neurology and Nature Portfolio—provides a robust editorial foundation. Her expertise in psychology, backed by a PhD from Goldsmiths, University of London, equips her with insights into both fundamental and clinical neuroscience disciplines. Eisenkoeck emphasizes the journal’s mission to dismantle disciplinary silos that have traditionally isolated neuroscience, neurology, psychiatry, and psychology, thereby accelerating discovery pipelines that span from basic mechanisms to population-level studies and clinical frameworks.

From an editorial philosophy perspective, Advanced Brain mirrors the Advanced Portfolio’s hallmark of close collaboration between professional editors and contributing scientists. This synergy is critical in identifying the most suitable publication venues within the portfolio’s interconnected journals, thereby minimizing the inefficiencies that commonly burden academic publishing. This innovative editorial model not only enhances author experience but also maximizes research visibility and impact, encouraging reproducibility and rigorous peer evaluation.

Moreover, Advanced Brain boasts an impressive international advisory board comprising leading academics representing a global spectrum of brain sciences. Esteemed institutions such as the University of Oxford, Harvard University, Fudan University, the University of Hong Kong, and the University of Oslo contribute to shaping the journal’s intellectual rigor and scholarly direction. This diverse scholarly input ensures the publication remains at the cutting edge of global research trends and scientific discourse.

The journal’s launch is timely given the accelerating need for integrative brain research that transcends traditional boundaries. Neuroscience and allied disciplines are increasingly focusing on complex challenges such as neurodegenerative conditions, stroke rehabilitation, psychiatric disorders, and the neural bases of cognition and behaviour. Advanced Brain aims to catalyze research that not only elucidates underlying biological processes but also translates into clinical practices and public health policies, ultimately enhancing patient outcomes and societal well-being.

In addition, the journal’s inclusion in Wiley’s Advanced Portfolio emphasizes the evolving landscape of scholarly publishing, where interdisciplinarity is paramount. Previously focused on materials science, the portfolio has expanded to include journals addressing the confluence of artificial intelligence and scientific innovation, like Advanced Intelligent Discovery and Advanced Robotics Research. This strategy reflects Wiley’s commitment to adapting to emerging scientific frontiers and supporting the dynamic needs of the research community.

The open access model adopted by Advanced Brain ensures unfettered dissemination of knowledge to researchers, healthcare professionals, policymakers, and the public. This model promotes transparency, accelerates scientific progress, and fosters equitable access to information, a crucial factor for global collaborative efforts in brain research. It also facilitates rapid integration of discoveries into practical solutions and therapeutic strategies.

In summation, Advanced Brain represents a visionary platform for transformative integrative neuroscience research, uniting distinct yet related disciplines under one umbrella. By promoting an inclusive and dynamic approach to brain science inquiries, it aspires to be instrumental in shaping future research paradigms, improving clinical interventions, and influencing health policies. Wiley’s dedication to innovation and excellence shines through the launch of this journal, marking a new chapter in scholarly communication and scientific advancement centered around the most intricate organ—the human brain.

Subject of Research: Neuroscience, Neurology, Psychiatry, and Psychology

News Publication Date: Not explicitly stated in the original content

Web References:

• The Advanced Portfolio – Wiley Online Library: https://advanced.onlinelibrary.wiley.com/
• Wiley Official Site: https://www.wiley.com/en-us
• Wiley Investor Relations: https://investors.wiley.com/overview/default.aspx

Image Credits: Wiley

Keywords: Neuroscience, Neurology, Psychiatry, Psychology, Brain Research, Open Access, Interdisciplinary Science, Neurodegenerative Diseases, Neuroinflammation, Psychiatric Disorders, Translational Neuroscience, Cognitive Science

Her search for clarity led to an interdisciplinary partnership with Dr. Liang Zhan, an associate professor of electrical and computer engineering. Together, they embarked on an ambitious journey—one that integrates cutting-edge neuro-metabolic data with sophisticated computational architecture. Their project, funded by a five-year, $3.3 million R01 grant from the National Institutes of Health, aims to unravel a multiscale, mechanistic model of how age-specific metabolic dynamics influence cognition and brain network integrity. This pioneering effort, dubbed “Multiscale Models of Age-Specific Neurometabolic Coupling,” seeks to transcend traditional research paradigms and build a holistic theory explaining the metabolic underpinnings of cognitive aging.

Traditionally, investigations into neurodegenerative diseases such as Alzheimer’s have fixated on amyloid plaques and cerebral blood flow disruptions as pathological hallmarks. While these elements undeniably hold significance, Iordanova and Zhan’s approach is refreshingly granular and comprehensive. Instead of merely observing vascular factors or protein aggregates, they focus on the metabolic substrates—glucose, lactate, creatine—and their fluxes within neuronal circuits, crucial determinants of neuronal health and activity. These metabolites function like currency, fueling synaptic communication and plasticity. However, aging progressively impairs the brain’s metabolic processing capacities, forcing neurons to reconfigure their energy use—a phenomenon not yet fully understood but potentially pivotal to the onset of cognitive deficits.

This metabolic adaptation, or its failure, may be a critical juncture that precipitates dementia. Genetics, lifestyle, and environmental factors contribute varying degrees of vulnerability to such metabolic shifts, implying that personalized metabolic profiles could one day inform therapeutic interventions. But before practical applications arise, a Herculean challenge must be met: analyzing and interpreting the massive, heterogeneous datasets derived from multiple biological scales. Here, the collaboration between Iordanova and Zhan becomes instrumental, blending expertise in experimental neurobiology with advanced computational modeling and graph theory.

The research strategy spans micro to macro realms of brain architecture. At the nanoscale, two-photon microscopy will enable real-time visualization of red blood cell velocity alongside neural activity and lactate dynamics within mouse models exhibiting late-onset Alzheimer’s pathology. This high-resolution method captures the intimate dance between blood supply and metabolic demand, offering insights into cellular-level neurovascular coupling. Scaling up, wide-field imaging techniques will map mitochondrial bioenergetics across cortical networks, charting how energy production propagates spatially and temporally through interconnected neural assemblies.

At the largest scale, the project will incorporate functional magnetic resonance imaging (fMRI) data from both animal models and human subjects to discern whole-brain connectivity patterns influenced by metabolic states. This cross-species, multilevel integration is imperative since structural and functional disparities exist between mouse and human brains. Yet, understanding commonalities in metabolic vulnerabilities that transcend species is key to bridging laboratory findings with clinical relevance.

With the multi-layered empirical data amassed, Dr. Zhan’s proficiency in network science becomes vital. Applying graph theory, he will construct computational models that intertwine cellular metabolism, network topology, and cognitive function. Such synthetic representations allow for simulations of various metabolic perturbations and their cascading effects on neural communication, enabling predictions about disease progression or risk trajectories. Importantly, these models may unearth biomarkers reflecting early metabolic breakdown, preceding overt cognitive symptoms.

Beyond modeling, the collaboration’s translational aspirations shine through. As Iordanova comments, while Alzheimer’s has been “cured” numerous times in mouse models, human clinical reality remains grim. The disconnect underscores the necessity of refining cross-species methodologies to identify conserved metabolic pathways that can inform precision medicine approaches. By dissecting how genetics, sex differences, aging, and metabolism converge, their work aspires to tailor timely interventions mitigating cognitive decline well before irreversible damage accrues.

What’s more, the serendipitous union of an engineering mind and a biological scientist epitomizes the power of interdisciplinary collaboration. Each field’s distinct language and methodologies once posed a barrier, yet the willingness to bridge these divides is proving invaluable for tackling neuroscience’s complex puzzles. Their successful partnership serves as a clarion call for greater integration across scientific domains, highlighting that transformative insights often emerge at disciplinary intersections.

In sum, this monumental endeavor promises to redefine the scientific understanding of brain metabolism’s role in aging and dementia. By meticulously charting the metabolic terrain from cellular machinery to holistic brain networks, the research team aims to illuminate novel pathways for early detection and personalized treatment of cognitive disorders. As metabolic inefficiency emerges as a silent orchestrator of neurodegeneration, decoding its secrets could usher in an era where interventions are no longer reactionary but preemptive, based on an individual’s unique metabolic landscape.

The project also benefits from contributions by co-investigators Alberto Vazquez, Tao Jin, Alex Poplawsky, Nicholas Fitz, and Rebecca Deek, encompassing expertise across bioengineering, medicine, and public health at the University of Pittsburgh. Backed by funding from the National Institute on Aging spanning 2026 to 2030, the endeavor is positioned to break new ground in aging neuroscience and propel forecast-driven neurotherapeutics.

This holistic, data-driven, and interdisciplinary approach represents a paradigm shift, powering a future where metabolic markers become essential diagnostics and metabolic modulation a key therapeutic avenue. As brain energy metabolism is unmasked as both a sentinel and target of neurodegenerative disease, it charts a promising pathway away from symptom management toward root-cause intervention. Through visionary modeling and tenacious collaboration, the brain’s metabolic mysteries may soon illuminate long-sought answers to aging’s greatest cognitive challenges.

Subject of Research:
Neuro-metabolic coupling and brain aging with a focus on metabolism’s role in cognition and Alzheimer’s Disease.

Article Title:
Unraveling the Brain’s Metabolic Code: New Multiscale Models Illuminate Aging and Cognitive Decline

News Publication Date:
Information not provided.

Web References:
https://reporter.nih.gov/search/9TRKgjW2kEWeaQoJls0-CQ/project-details/11116485
https://www.engineering.pitt.edu/people/faculty/bistra-iordanova/
https://www.engineering.pitt.edu/people/faculty/liang-zhan/

References:
Not explicitly provided beyond project and principal investigator links.

Image Credits:
Tom Altany / University of Pittsburgh

Keywords:
Brain metabolism, aging, neurodegeneration, Alzheimer’s Disease, glucose metabolism, lactate, creatine, neurovascular coupling, two-photon microscopy, mitochondrial function, brain network modeling, multiscale computational neuroscience, translational research.