The cortico-striatal pathway, a pivotal neural circuit implicated in motor control, cognitive functions, and reward processing, has long been a subject of intense scientific scrutiny. However, a significant gap has persisted in understanding how anatomical connections correspond to dynamic functional communication within this system. This investigation pioneers a dual-modality approach, combining high-resolution diffusion tensor imaging (DTI) with in vivo functional magnetic resonance imaging (fMRI) and electrophysiological recordings to create a comprehensive map of connectivity.

Anatomical connectivity, defined by the physical axonal tracts linking the cerebral cortex with the striatum, provides the structural foundation on which neuronal signaling is built. Using sophisticated DTI tractography, researchers delineated the precise topography of white matter fibers traversing between key cortical areas such as the prefrontal cortex, motor cortex, and parallel striatal subregions. Their findings reveal a complex yet organized architecture, suggesting specialized cortico-striatal loops that may underlie distinct behavioral domains.

In parallel, functional connectivity—capturing the temporal correlation between neuronal activity in disparate brain regions—was assessed through resting-state and task-evoked fMRI paradigms. Intriguingly, the study reports instances where functional connectivity diverges considerably from anatomical pathways, highlighting the presence of indirect polysynaptic routes and modulatory influences shaping interregional communication. This observed dissociation challenges traditional dogma that presumes a direct one-to-one correspondence between anatomical and functional networks.

Electrophysiological data further enriched this comparative analysis by offering real-time temporal resolution of cortico-striatal interactions during behavioral tasks designed to probe reward anticipation and action selection. Neuronal ensemble recordings from striatal neurons exhibited patterns of synchronization with cortical inputs that were transient and context-dependent, underscoring the dynamism inherent in these circuits. These neural dynamics appeared to be modulated by neurotransmitter systems such as dopamine, emphasizing the neurochemical complexity intertwining with anatomical structure.

One of the study’s seminal contributions lies in the demonstration of hierarchical organization within cortico-striatal connectivity. The authors propose that direct structural links serve as conduits for fast, feedforward information flow, while functional connectivity encompasses both these direct interactions and additional feedback or lateral influences mediated by interneurons and neuromodulators. This layered architecture allows flexible adaptation to environmental demands, integrating sensory inputs, cognitive control, and reward signals.

Moreover, the comparative approach, examining both anatomically grounded and functionally derived connectivity metrics, offers profound implications for translational neuroscience. Understanding how these networks are organized in macaques—our closest neuroanatomical relatives—provides a critical scaffold for interpreting disruptions seen in human neuropsychiatric disorders such as schizophrenia, obsessive-compulsive disorder, and addiction, where cortico-striatal circuitry is often implicated. The insights from this work may inform novel therapeutic interventions seeking to restore or modulate network functionality.

Technologically, the study sets a benchmark by implementing cutting-edge integrated imaging protocols capable of simultaneously capturing structural and functional data with unprecedented spatial and temporal resolution. This methodological innovation represents a leap forward in the capacity to bridge microstructural connectivity maps with macroscale brain dynamics, paving the way for future explorations into the brain’s connectome.

Importantly, the research addresses the ongoing debate surrounding the predictive power of anatomical connectivity for functional outcomes. By quantifying the degree of correspondence and divergence between these two connectivity domains, it elucidates the limitations of relying solely on one modality for inferring brain function. The findings emphasize the necessity of multimodal approaches to achieve a more holistic understanding of neural circuit operation.

The delineation of discrete cortico-striatal pathways related to specific behavioral states also furthers our grasp of circuit specialization. For example, connectivity between the dorsolateral prefrontal cortex and the dorsomedial striatum was linked to cognitive control processes, while circuits involving the motor cortex and putamen appeared predominantly involved in the execution of learned motor sequences. This functional parcellation aligns with contemporary models of basal ganglia operation.

Furthermore, the dynamics of cortico-striatal signaling were shown to be state-dependent, modulated by internal factors such as arousal and external task demands. This contextual sensitivity underlines the brain’s ability to reconfigure network interactions rapidly, a feature that likely supports behavioral flexibility and adaptability. The study’s longitudinal design allowed for observation of these shifts over time, revealing plastic changes that correlate with learning and experience.

By integrating molecular data, the researchers also propose that variations in neurotransmitter receptor distribution within cortico-striatal nodes contribute to the heterogeneity in connectivity patterns observed. This neurochemical layering might explain differential susceptibility of various striatal regions to pathological conditions and informs strategies targeting receptor systems for therapeutic modulation.

The broader implications of this research resonate beyond basic neuroscience, touching upon fields such as artificial intelligence and computational modeling. The nuanced understanding of hierarchical and dynamic connectivity patterns inspires new algorithms mimicking the brain’s flexible information processing capabilities. This interdisciplinary cross-pollination stands to accelerate advancements in machine learning architectures grounded in biological principles.

In summary, this seminal study by Tang and colleagues marks a transformative step in mapping the complex relationship between structural and functional brain networks within an essential primate model. By unraveling the multi-dimensional connectivity landscape of the cortico-striatal circuitry, the research not only deepens fundamental neuroscientific knowledge but also lays crucial groundwork for translational applications aimed at combating brain disorders marked by network dysfunction.

As neuroscience continues to evolve towards integrative and multimodal investigative frameworks, the insights gleaned here reaffirm the brain’s remarkable sophistication in balancing anatomical scaffolding with the fluidity of functional dynamics. This paradigmatic shift heralds a new era in understanding how interconnected neural circuits orchestrate behavior and cognition, promising novel avenues for intervention and enhancement of brain health.

Subject of Research: Functional and anatomical cortico-striatal connectivity in the macaque brain

Article Title: Functional vs anatomical cortico-striatal connectivity in the macaque brain

Article References:
Tang, W., Monko, M.E., Liu, Z. et al. Functional vs anatomical cortico-striatal connectivity in the macaque brain. Transl Psychiatry (2025). https://doi.org/10.1038/s41398-025-03757-x

Image Credits: AI Generated

DOI: https://doi.org/10.1038/s41398-025-03757-x

The concept of binocular rivalry dates back centuries, yet understanding its underlying mechanisms has remained elusive until recent technological advancements in neuroimaging. Qian and colleagues utilized state-of-the-art techniques to examine the neural processes involved when different visual inputs are presented to each eye. By employing advanced imaging methods, such as functional magnetic resonance imaging (fMRI), the team could visualize and map out the brain regions activated during perceptual conflict. This study represents a significant leap in our comprehension of how the brain navigates complex visual environments.

As the study unfolds, we encounter a rich tapestry of neurological responses that provide insight into the hierarchical processing within the visual cortex. The researchers meticulously outlined the specific cortical areas involved in resolving these conflicts. Notably, the findings indicated that higher-level cortical areas engage more prominently in decision-making processes as visual input diverges. This discovery sheds light on the brain’s reliance on previous experience and contextual information to resolve perceptual ambiguities, illustrating the interplay between memory and perception.

Moreover, the authors explored the temporal dynamics of visual processing during binocular rivalry. They identified distinct phases of perceptual dominance and suppression, showcasing how the brain oscillates between different interpretations of conflicting stimuli. The ability to shift attention and prioritize one input over another is not merely a passive response but an active and dynamic process that reflects our cognitive flexibility as a species. Understanding these mechanisms opens up potential avenues for therapeutic interventions in visual perception disorders.

The findings also have profound implications for our grasp of attention mechanisms. By integrating insights from computational modeling, the researchers pointed to an intricate feedback loop between perceptual dominance and attentional resources. This suggests that attention may play a more central role in perceptual conflict resolution than previously thought. The brain’s decision-making processes concerning which visual input to prioritize can be influenced by attentional biases that stem from both external stimuli and internal cognitive states.

Additionally, this research contributes to a growing body of literature investigating how visual information is categorized and processed. The study draws parallels between binocular rivalry and other forms of perceptual competition, such as multisensory integration and decision-making in ambiguous situations. This comparative approach not only enhances our understanding of visual perception but also underscores the universality of these mechanisms across different sensory modalities.

In terms of practical applications, the implications of this research extend far beyond academic curiosity. Insights gained from understanding how the brain resolves conflicting visual inputs could influence the development of more effective therapies for individuals suffering from visual processing disorders. By identifying the neural circuits involved, clinicians may be better equipped to design interventions that target specific areas of dysfunction, ultimately improving patient outcomes and quality of life.

This study also invites further exploration into how different factors—such as social contexts or emotional states—might influence perceptual conflict resolution. As the researchers noted, individual differences, including personality traits and cognitive styles, could modulate the dynamics of visual perception and attention. Future studies might peel back more layers of this complex interaction, revealing how our unique experiences shape our perceptual landscapes.

In conclusion, the work by Qian and colleagues illuminates the intricate mechanisms underpinning how our brains navigate perceptual conflicts during binocular rivalry. Their findings enrich our understanding of the visual system, emphasizing the importance of neural dynamics and attention in resolving ambiguity. As we look forward to future research in this field, the potential for translating these insights into clinical practice remains tantalizingly close, paving the way for methodologies that enhance our understanding of cognitive and perceptual processes.

As binocular rivalry continues to captivate scientists, this study stands as a testament to the power of interdisciplinary approaches in unraveling the complexities of the mind. By merging cutting-edge neuroimaging techniques with cognitive psychology, the researchers have forged a path toward deeper insights into perception, paving the way for future investigations that may redefine our understanding of how we see and interpret the world around us.

The exploration of these mesoscale cortical mechanisms will undoubtedly inspire a new wave of inquiries in neuroscience. We are only beginning to scratch the surface of understanding how our brains interpret conflicting information, and as researchers build on this foundation, the implications for both theoretical knowledge and practical applications hold immense promise for the future of cognitive science.

Subject of Research: Mesoscale cortical mechanisms of perceptual conflict resolution in binocular rivalry

Article Title: Mesoscale cortical mechanisms of perceptual conflict resolution in binocular rivalry

Article References:

Qian, C., Zhang, Z., Chen, Z. et al. Mesoscale cortical mechanisms of perceptual conflict resolution in binocular rivalry.
Nat Hum Behav (2025). https://doi.org/10.1038/s41562-025-02320-4

Image Credits: AI Generated

DOI: https://doi.org/10.1038/s41562-025-02320-4

Keywords: Perception, Binocular Rivalry, Neuroscience, Visual Processing, Attention, Cognitive Science

The Canadian Academy of Health Sciences Fellowship acknowledges individuals whose work demonstrates profound impact in advancing health science and improving public health policy and practice. Dr. Sekuler’s election reflects her extensive achievements in neuroscience research, especially relating to aging and brain health, alongside her leadership in scientific innovation. Her work exemplifies the integration of empirical research with translational applications, a hallmark of CAHS’s mission to promote health science excellence.

Dr. Sekuler’s research intricately dissects how the human brain processes complex visual stimuli. Using advanced behavioral assays coupled with sophisticated neuroimaging techniques such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG), her laboratory has illuminated the neurobiological substrates underlying sensory and cognitive decline in aging populations. Notably, her investigations were among the first to demonstrate the plasticity of the aging brain, revealing mechanisms through which neural circuits reconfigure to compensate for degenerative changes.

Her contributions have broad implications spanning early detection and intervention in dementia, where subtle deficits in sensory processing can serve as precursors to cognitive impairment. By leveraging multimodal imaging and continuous behavioral assessment, Dr. Sekuler’s work elucidates early biomarkers capable of predicting neurodegenerative trajectories. This predictive power equips clinicians and researchers with tools to design personalized therapeutic strategies and interventions aimed at mitigating the progression of age-related cognitive disorders.

Beyond her empirical research, Dr. Sekuler’s leadership extends to fostering innovation ecosystems that bridge basic science, clinical application, and community impact. At Baycrest, she spearheads initiatives focused on marrying cutting-edge technology with patient-centered care models. The Centre for Aging + Brain Health Innovation exemplifies this approach, aggregating interdisciplinary expertise to accelerate the translation of neurocognitive research into scalable solutions addressing the global aging crisis.

Her dual faculty appointments at the University of Toronto and McMaster University further underscore her commitment to academic mentorship and pedagogy. By cultivating the next generation of neuroscientists and clinicians, Dr. Sekuler fosters an environment where empirical rigour and translational ambition coalesce. Her prolific publication record, with articles appearing in premier journals such as Nature, Current Biology, and The Journal of Neuroscience, reflects both the depth and breadth of her scientific influence.

In the realm of public engagement, Dr. Sekuler proactively disseminates knowledge through multiple platforms. She co-hosts Baycrest’s Defy Dementia podcast, which translates complex neuroscientific concepts for broad audiences, demystifying aging and brain health challenges. Additionally, her role on advisory boards, including the Canadian Brain Research Strategy and international consortia on artificial intelligence and society, positions her at the nexus of cutting-edge interdisciplinary collaboration.

A staunch advocate for equity and inclusion in science, Dr. Sekuler co-founded Females of Vision et al. (FoVea), a network dedicated to supporting women researchers in vision science fields. Her leadership in anti-racism initiatives within the Ontario Hospital Association’s Research and Innovation Anti-Racism Taskforce highlights her commitment to creating diverse, equitable environments that nurture scientific creativity and social responsibility.

Her remarkable career has earned her recognition as Canada’s inaugural Canada Research Chair in Cognitive Neuroscience, a testament to her academic excellence and pioneering spirit. Moreover, her repeated designation as one of WXN’s Top 100 Most Powerful Women in Canada — most recently in 2024 — attests to her influential role not only in science but also in shaping healthcare innovation and policy.

Baycrest’s vision—to create a world where older adults live with purpose, dignity, and fulfillment—is reflected in Dr. Sekuler’s work. The institution itself, with over a century of expertise in senior care and brain health research, serves as a critical hub for innovation. Through entities like CABHI and the Canadian Consortium on Neurodegeneration in Aging, Baycrest stands at the forefront of efforts to decode the complexities of aging biology and translate discoveries into improved clinical outcomes.

Affiliated with the University of Toronto, Baycrest’s educational programs advance global standards in elder care, training specialists equipped to meet emerging challenges of aging populations worldwide. Further, Baycrest Global Solutions leverages this expertise to assist international healthcare and senior living organizations in implementing evidence-based strategies that enhance quality of life for older adults.

Dr. William Reichman, President and CEO of Baycrest Seniors Care, articulated the community’s pride in Dr. Sekuler’s achievement, emphasizing how her groundbreaking research continues to push boundaries in brain health. His statement underscores how individual excellence feeds into broader institutional missions, catalyzing knowledge generation and practical advances that resonate across both national and international domains.

The recognition of Dr. Allison Sekuler by the Canadian Academy of Health Sciences solidifies her status as a luminary in cognitive neuroscience and aging research. Her ongoing commitment to innovation, equity, and public engagement ensures that her influence extends beyond laboratories and academic journals into the lived experiences of older adults worldwide. As global populations age, such visionary leadership is indispensable in tackling the multifaceted challenges posed by cognitive decline and neurodegenerative diseases.

This accolade as a CAHS Fellow not only honors past achievements but also heralds a promising trajectory for future discoveries and advancements under Dr. Sekuler’s stewardship. Her integrated approach, combining rigorous science with humanistic care, epitomizes the evolving paradigm in health sciences—one where precision, empathy, and social responsibility intersect to foster healthier, more vibrant aging trajectories.

For comprehensive details on the Canadian Academy of Health Sciences and the full roster of 2025 Fellows, visit the official website at cahs-acss.ca/2025-elected-fellows/.

Subject of Research: Cognitive neuroscience of aging, brain plasticity, early detection and treatment of dementia, sensory and cognitive decline.

Article Title: Dr. Allison Sekuler Elected Fellow of the Canadian Academy of Health Sciences for Pioneering Contributions to Brain Health and Aging Research

News Publication Date: August 19, 2025

Web References: https://cahs-acss.ca/2025-elected-fellows/

Image Credits: Courtesy of Baycrest

Keywords: Research impact, Brain, Cognitive neuroscience, Aging, Dementia, Neuroimaging, Brain plasticity, Sensory processing, Health sciences, Innovation, Equity in science, Public engagement

Intersubject correlation, at its core, involves measuring the similarity of neural responses elicited by the same stimulus in different subjects. Traditional methods of assessing attention often rely on subjective reports or behavioral measures that can be noisy and prone to bias. ISC, leveraging brain imaging techniques such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG), offers an objective, quantifiable window into the collective alignment of brain activity during cognitive tasks. By capturing the degree to which neural activity is synchronized across individuals, researchers can infer levels of shared attention towards a stimulus.

The implications of ISC extend beyond mere academic curiosity; they stretch into practical applications ranging from educational environments, where gauging student engagement remains a persistent challenge, to media and marketing, where the attentional pull of content can make or break success. The review meticulously compiles evidence from diverse studies, highlighting consistent patterns where higher intersubject correlation corresponds with heightened attention and deeper cognitive engagement. Such findings underscore ISC’s potential as a universal biomarker for attentional states.

One of the fascinating technical dimensions discussed in the review is the variability of ISC across different brain regions and stimulus modalities. For instance, sensory regions such as the primary auditory and visual cortices often show high ISC during exposure to synchronized stimuli like movies or music, reflecting shared perceptual processing. Meanwhile, higher-order cortical areas linked to executive functions exhibit ISC patterns that more directly relate to attentional control and cognitive resource allocation. This spatial specificity within the brain suggests that ISC is not a monolithic measure but a complex marker reflecting multifaceted aspects of attention.

The systematic review also emphasizes methodological rigor, detailing the various computational approaches to calculating ISC. Correlation-based measures, inter-subject phase locking, and multivariate pattern analysis each offer unique advantages and limitations. Importantly, the authors stress the necessity of standardizing analysis pipelines to facilitate comparability across studies. Such standardization, along with increased data sharing, is imperative to advancing ISC from an intriguing research concept to a practical tool in real-world settings.

Moreover, the review sheds light on the temporal dynamics of ISC, illustrating how attentional states fluctuate over time and how these fluctuations manifest in synchronized brain signals. By employing time-resolved ISC analyses, researchers can track moment-to-moment changes in collective engagement, opening new avenues for real-time monitoring of attention. This temporal granularity is particularly valuable for applications like adaptive learning platforms, where understanding when a learner’s focus wanes can inform timely interventions.

Another compelling aspect discussed is the role of ISC in social cognition and communication. Human interactions often rely fundamentally on shared attention, whether during conversations, collaborative problem-solving, or empathy-driven exchanges. ISC measures reveal how neural synchronization between interlocutors correlates with mutual understanding and joint focus. These insights pave the way for exploring ISC as a tool to diagnose social cognitive deficits in neurodevelopmental disorders such as autism spectrum disorder, where attentional engagement with social stimuli is impaired.

The review does not shy away from addressing challenges and limitations inherent in ISC research. One such challenge is disentangling attentional effects from confounding factors such as stimulus properties or individual differences in cognitive styles. Additionally, the reliance on neuroimaging data poses practical constraints, given the high costs and technical expertise required. However, advances in portable EEG technologies and machine learning algorithms provide promising avenues to overcome these barriers, democratizing access to ISC-based attention monitoring.

In a world increasingly reliant on digital content consumption, understanding the neural underpinnings of attention has profound societal relevance. The review by Liu and colleagues illuminates ISC’s potential to revolutionize how attention is measured and understood, advocating for its integration into multidisciplinary frameworks that include psychology, neuroscience, education, and human-computer interaction. Their systematic approach lays a robust foundation for future empirical investigations and theoretical model development.

Critically, the review argues for a paradigm shift where attention is not solely viewed as an internal, individual phenomenon but as a dynamic, shared neural process that bridges minds. Intersubject correlation captures this collective dimension exquisitely, providing a scientific basis to understand how attention can synchronize groups toward common goals or shared emotional experiences. This insight carries significant philosophical and practical implications for fields as diverse as crowd behavior analysis, media influence studies, and the design of immersive virtual environments.

To harness the full potential of ISC, future research must address cross-cultural variability and investigate whether attentional synchronization patterns generalize across diverse populations and contexts. The review points to emerging studies exploring ISC stability across age groups, highlighting developmental trajectories of attentional mechanisms. Understanding these developmental aspects may inform educational policies tailored to different age ranges, ensuring effective engagement strategies throughout the lifespan.

Furthermore, the systematic review discusses the convergence of ISC with other physiological markers of attention, such as pupillometry, heart rate variability, and skin conductance. Combining ISC with multimodal measures may yield comprehensive attentional profiles, enhancing predictive accuracy and enabling personalized interventions. This holistic approach echoes trends in precision neuroscience, where individualized brain-behavior relationships are mapped with unprecedented detail.

Notably, the authors of the review call for interdisciplinary collaboration to push ISC research forward. They underscore the value of integrating mathematical modeling, computer science innovations, and clinical expertise to refine ISC methodologies and expand their applicability. Such collaborative efforts are essential for translating the promising findings into tools for educational assessment, mental health diagnostics, and even workplace productivity monitoring.

In conclusion, Liu, Lin, and Zhang’s systematic review represents a watershed moment in the scientific exploration of attention. By rigorously synthesizing evidence and critically evaluating methodological advances, the authors highlight intersubject correlation as a transformative biomarker capable of bridging brain, behavior, and social interaction. As research continues to unfold, ISC stands poised to not only deepen our understanding of attention but to reshape how we measure, enhance, and apply this vital cognitive function in everyday life.

—

Article Title: Intersubject correlation as a predictor of attention: a systematic review

Article References:

Liu, Q., Lin, Y. & Zhang, W. Intersubject correlation as a predictor of attention: a systematic review.
BMC Psychol 13, 546 (2025). https://doi.org/10.1186/s40359-025-02879-7

Image Credits: AI Generated