Phillips’s academic path took an unconventional turn early on. While her contemporaries gravitated toward the mainstream medical disciplines, she chose to explore zoology, captivated by the neural simplicity of the sea slug, Aplysia. This marine organism’s simple neural circuitry has long been a valuable model for understanding the complex relationship between neural networks and behavior. This fascination was no passing phase; it was a foundational pivot that led her to pursue a master’s degree in neuroscience, laying the groundwork for her future exploration of emotional regulation and neural connectivity.

Her professional evolution is not a linear climb but a rich narrative shaped by serendipitous encounters and critical mentorships. After navigating the fields of neurology and psychiatry—both of which offered insights yet lacked integrative neuroscience—Phillips found her niche in neuropsychiatry, a field integrating brain function and psychiatric symptoms. At London’s Maudsley Hospital and Institute of Psychiatry, she immersed herself in this burgeoning discipline, honing her ability to bridge complex neurological theories with clinical psychiatric practice.

Four mentors profoundly influenced Phillips’s career trajectory, each contributing unique lessons essential for her scientific maturation. Professor David Foster instilled rigorous research methods, ensuring that her work met the highest standards of validation and clarity. Jeffrey Gray introduced her to the revolutionary technology of functional Magnetic Resonance Imaging (fMRI), allowing her to visualize and map the brain’s activity in real-time—a tool pivotal in her future research. David Kupfer’s invitation brought a transformative opportunity, prompting Phillips’s relocation to the University of Pittsburgh and embedding her in a research environment where interdisciplinary collaboration flourished. Lastly, Professor Lori Altshuler, whose mentorship extended beyond professional advice to personal support, shaped Phillips’s approach to scientific inquiry and human compassion.

Today, Dr. Phillips’s work is anchored in an ambitious, technically challenging goal: deciphering prefrontal-striatal-limbic circuits to identify biomarkers that predict the onset of bipolar disorder before clinical symptoms manifest. This endeavor involves sophisticated neuroimaging techniques coupled with longitudinal analytical models that track neural network development from infancy through young adulthood. Her research elucidates how variations in emotional reactivity, tied to specific neural pathways, might foreshadow psychiatric vulnerability—knowledge that could revolutionize early intervention strategies.

Phillips directs three specialized research centers at Pittsburgh: CNCTI-P focuses on interventional psychiatry methods, CENTRIM-BD examines metabolic aspects of psychiatric conditions, and CRTDAN champions translational and developmental neuroscience. Together, these centers embody a unified vision of personalized medicine, integrating neurobiological insights with novel therapeutic approaches tailored to individual neurocircuit profiles.

Her recent collaborations dive deeper into the neurobiological substrates underlying innovative treatments, including neuromodulation and metabolic interventions. By partnering with biotech firms, Phillips leverages cutting-edge technologies to optimize therapies at the individual level—striving to enhance efficacy and reduce the trial-and-error period that conventional treatments often entail. Her research holds profound clinical importance, motivated by a commitment to patients whose psychiatric conditions have historically defied effective management.

Phillips’s influence extends well beyond her own laboratory. Having mentored over 100 trainees, including multiple NIH K awardees, she shapes the future generation of neuroscientists and psychiatrists. Her mentorship style, described as “maternalistic,” reflects both the challenges and opportunities she encountered as a woman in a historically male-dominated field. While facing gender-based obstacles, Phillips found visibility and presence to be her strengths, cultivating an environment where her guidance became a cornerstone of her mentees’ professional and personal development.

Outside the confines of academia, Dr. Phillips engages with the world through diverse passions. She finds parallels between the intricate puzzles of detective fiction and the complexities of neural circuitry, both requiring acute analytical skills and perseverance. Music, cycling, and nature walks offer her balance, while her proverb “Goals and routes: never confuse the two” encapsulates a mindset focused on purposeful progress without attachment to a singular pathway.

Despite prestigious accolades—election to the National Academy of Medicine, receipt of the Society of Biological Psychiatry Gold Medal, and authorship of over 400 peer-reviewed publications—Phillips measures success by the community she builds. Her greatest accomplishment, she emphasizes, is relocating to the United States and nurturing a collaborative research team dedicated to pushing the boundaries of psychiatric neuroscience—an enduring legacy transcending individual accolades.

Notably, Phillips’s personal stories reveal profound humanity behind the scientific rigor. The loss of her mentors, her family, and her candid reflections on professional and emotional challenges underscore the intimate interplay between life and science. These insights contribute to a compelling narrative illustrating how empathy, resilience, and intellectual curiosity intertwine to drive innovation in understanding the brain’s self-regulation.

Dr. Mary L. Phillips’s transformative research, blending advanced neuroimaging with developmental neuroscience and clinical psychiatry, heralds a future where early identification and intervention for bipolar disorder may become reality. This visionary approach exemplifies how integrative, translational science can unravel the profound complexities of neural systems driving emotional regulation and mental health.

Her Genomic Press interview, published openly in Brain Medicine on March 17, 2026, offers an in-depth exploration of her scientific philosophy and pioneering work. It stands as a crucial resource for anyone invested in the future of neuroscience and psychiatric treatment, illuminating the path from intricate neural circuits to real-world clinical applications. Through this lens, Dr. Phillips reaffirms a central truth: the brain’s supremacy is not merely an idea but an empirical frontier, one that can be read, understood, and, ultimately, healed.

Subject of Research: People

Article Title: Mary L. Phillips: Understanding how the brain regulates itself via the study of neural networks underlying emotional regulation

News Publication Date: 17-Mar-2026

Web References:
https://interviews.genomicpress.com/
https://doi.org/10.61373/bm026k.0018

Image Credits: Mary L. Phillips

Keywords: Bipolar disorder, neural circuitry, affective neuroscience, prefrontal-striatal-limbic networks, functional MRI, neuropsychiatry, translational research, biomarker development, neuromodulation, emotional regulation, psychiatric treatment, personalized medicine

A groundbreaking narrative review by Goodwin, Diederen, Hird, and collaborators, soon to be published in Nature Mental Health, meticulously revisits and extends the seminal work of Sterzer and colleagues. It evaluates predictive processing as a potent model for elucidating the neurocomputational mechanics underpinning psychotic experiences, from mild manifestations in non-clinical populations to severe, chronic manifestations in schizophrenia. Through this examination, the authors aim to reconcile competing hypotheses about the origins of psychosis — whether disruptions arise predominantly from aberrant top-down expectations or bottom-up sensory abnormalities.

The review stresses the importance of priors and sensory likelihoods — two key elements of predictive processing theory — in understanding the disorder. Priors represent the brain’s pre-established beliefs or expectations, while likelihoods correspond to sensory evidence. Psychosis, it is posited, may emerge from either overly precise priors that overwhelm noisy sensory signals (a top-down disruption) or from diminished priors coupled with excessively precise sensory inputs (a bottom-up disruption). Reconciling these perspectives could demystify the variability observed across psychosis stages and presentations.

Psychotic phenomena manifest along a continuum. Non-clinical psychotic experiences, such as mild hallucinations or delusional thoughts that do not severely impair functioning, provide a window into early, subthreshold mechanisms of perceptual inference gone awry. Intriguingly, alterations in the balance between priors and sensory fidelity may underlie these benign symptoms, indicating that predictive processing dysregulation can exist even outside clinical diagnosis.

As psychosis progresses toward more severe clinical states — including those identified as high-risk or undergoing first-episode psychosis (FEP) — the interplay of predictive disruptions becomes more pronounced. Individuals in these stages show more robust deviations in how brain networks generate and update predictions, affecting perception and cognition. The review highlights experimental evidence showing that aberrant precision weighting of priors and sensory inputs correlates with symptom intensification and functional decline.

In established schizophrenia, the model continues to hold explanatory power. Aberrant predictive coding manifests as distorted perceptual experiences — hallucinations and delusions — and cognitive disturbances. The review carefully synthesizes recent neuroimaging and behavioral studies linking these symptoms to quantifiable shifts in predictive hierarchy function. Notably, it underscores that these disturbances vary within and across patients, supporting a transdiagnostic approach rather than a monolithic disease model.

A major strength of this review lies in its ambition to bridge the gap between top-down and bottom-up views. Historically, debates centered on whether psychosis arises because strong, inaccurate priors swamp the brain’s interpretation of sensory data, or conversely, because overly noisy priors fail to constrain hyper-salient sensory influx. By parsing the nuanced dynamics among priors and likelihood precision across psychosis stages, Goodwin and colleagues provide a synthesized framework that embraces both sides — illustrating that psychosis may manifest differently across individuals and illness phases, shaped by varied combinations of predictive disturbances.

Beyond framing psychosis as a disorder of predictive processing, the review explores the promise of this framework in clinical translation. Predictive processing metrics might serve as biomarkers for earlier detection, risk stratification, and treatment efficacy evaluation. For instance, deficits in sensory attenuation or abnormal belief updating patterns detected via computational behavioral paradigms could identify at-risk individuals long before overt symptoms emerge, facilitating preventive interventions.

Therapeutic potentials abound as well. Understanding the computational origins of psychotic symptoms opens the door to new interventions aimed at recalibrating predictive coding mechanisms. Cognitive remediation therapies could be tailored to modulate the precision of priors or sensory evidence weighting. Furthermore, neuromodulatory techniques such as transcranial magnetic stimulation might precisely target brain circuits involved in aberrant predictions.

The authors emphasize, however, that the field is still in its early days regarding clinical application. They call for standardized experimental paradigms that rigorously quantify predictive parameters across diverse populations and longitudinal designs that monitor how predictive disruptions evolve over the course of illness. Such rigor is essential to move predictive processing from theoretical promise to clinical reality.

This comprehensive review reinvigorates the vision of predictive processing as a unifying lingua franca for psychiatric neuroscience. By aligning computational complexity with clinical phenomena, it pushes the boundaries of how we understand psychosis — not simply as a constellation of incoherent symptoms, but as the direct consequence of fundamental disruptions in brain function. This framework invites a paradigm shift: from symptom-based diagnoses to mechanistic, model-driven approaches.

In doing so, the review helps demystify why psychosis appears so heterogeneous and resistant to conventional treatment. If disrupted predictive coding lies at its heart, resolving psychosis will require nuanced interventions that restore balanced brain inference, individualized to the profile of disruption. This promises a future where precise, mechanism-informed therapies replace trial-and-error approaches, improving outcomes markedly.

Moreover, the framework transcends psychosis, offering insight into a range of psychiatric conditions characterized by altered perception and cognition — from mood and anxiety disorders to autism spectrum conditions. The authors underscore predictive processing’s potential as a transdiagnostic scaffold, deepening our grasp of mental illness complexity.

Ultimately, this narrative marks a decisive step in harmonizing decades of behavioral, neurobiological, and computational research. It demonstrates the power of predictive processing to unify disparate empirical findings into coherent neurocomputational models, empowering researchers and clinicians to think beyond traditional boundaries.

As good science should, this review leaves readers with both answers and questions, charting a path for future inquiry. By integrating rigorous theoretical perspectives with cutting-edge experimental data, it inspires renewed efforts to unravel the neurocomputational roots of psychosis and leverage these insights for transformative clinical gains.

With mental health challenges mounting worldwide, such innovative approaches could not be more timely. The fusion of computational neuroscience and psychiatry embodied here offers hope for profound advancements in our understanding, diagnosis, and treatment of psychotic disorders. The predictive brain, it seems, may hold the key to unlocking the mysteries of psychosis — and opening a new era in psychiatric care.

Subject of Research: Predictive processing and its role in the neurocomputational mechanisms underlying psychosis across different stages of illness.

Article Title: Predictive processing accounts of psychosis: bottom-up or top-down disruptions.

Article References:
Goodwin, I., Diederen, K.M.J., Hird, E.J. et al. Predictive processing accounts of psychosis: bottom-up or top-down disruptions. Nat. Mental Health (2026). https://doi.org/10.1038/s44220-025-00558-5

Image Credits: AI Generated

DOI: https://doi.org/10.1038/s44220-025-00558-5

The research draws attention to how maternal infections prior to birth may initiate neurodevelopmental changes that predispose individuals to mental disorders, particularly during their formative years. The mice used in the study were deliberately subjected to conditions that mimic these real-world stressors, allowing for an in-depth analysis of how such stressors affect neural architecture and function. This investigation adds significant weight to the argument that prenatal and early life stressors are not merely transient challenges but have lasting effects on brain integrity and emotional health.

A pivotal component of the study was the examination of the cerebellum, an area of the brain that governs coordination and cognitive functions. The researchers observed notable changes in microglial cells, the brain’s resident immune cells, in mice subjected to two-hit stress. These cells exhibited heightened reactivity in the cerebellum, suggesting that maternal infections combined with postnatal stress trigger inflammatory pathways that contribute to cognitive decline. Such inflammation potentially disrupts the delicate balance of neurotransmission, further complicating the behavioral profile of the offspring.

Moreover, the study revisits the established understanding of how neuroplasticity—the brain’s ability to reorganize itself—can be altered by adverse experiences. Past investigations highlighted that acute inflammation in the cerebellum can lead to hyper-excitability of neuronal circuits. This hyper-excitability can manifest as depressive or autism-like symptoms, demonstrating a clear link between immune system disturbances and mental health outcomes. What remains puzzling is how two-hit stress synergistically exacerbates these neuroplastic changes, rendering individuals more vulnerable to psychological disturbances later in life.

While exploring the consequences of two-hit stress in the subject mice, researchers noted marked cognitive dysfunction. Behavioral tests indicated that the mice exposed to this dual stress paradigm exhibited increased anxiety-like behaviors, resulting in considerably impaired social interactions relative to control groups. The correlation between anxiety responses and microglial behavior further accentuates the implications of maternal health on future generations, suggesting an intergenerational transmission of stress-induced vulnerabilities.

Notably, the researchers discovered there was a notable variation in stress resilience between male and female mice. After subjecting the mice to microglial replacement therapies, the team witnessed improved outcomes, especially in female subjects. These findings raise important questions regarding sex-based differences in neuroimmune responses. The heightened resilience observed in female mice suggests a potential avenue for tailored therapeutic interventions aimed at enhancing overall mental health resilience.

In an effort to combat the adverse effects of two-hit stress, the team investigated cerebellum-specific microglial replacement as a therapeutic strategy. By replenishing these immune cells selectively in the cerebellum, they could mitigate the damaging effects of systemic inflammation without compromising overall immune function. This approach is promising, as it could lead to innovative therapies aimed at improving cognitive outcomes for vulnerable populations while maintaining the body’s defense mechanisms.

The implications of this research are broad-reaching, potentially reshaping the narrative around mental health and parental influence. Understanding the critical window of prenatal and early life development opens doors for targeted preventive measures that could have life-altering benefits. This revelation highlights the necessity of comprehensive maternal healthcare policies and interventions that focus not only on physical well-being but also on mental health during pregnancy.

These findings further emphasize the pressing need for more nuanced research regarding neurodevelopmental outcomes influenced by maternal health. As society moves towards personalized medicine, integrating these insights could fundamentally alter the landscape of psychiatric care. By acknowledging individual differences, especially regarding sex, medical professionals can devise more effective treatment modalities.

The research also shines a light on the broader societal need to tackle mental health issues proactively. With mental health disorders becoming increasingly prevalent, proactive strategies modeled in this study may offer innovative frameworks for future research. Allowing for early intervention based on the understanding of maternal health impacts may significantly reduce the prevalence and severity of mental health conditions stemming from early life stressors.

In conclusion, the groundbreaking work conducted at Kyoto University shines a critical light on the relationship between maternal stressors and offspring cognitive health. The complexity of two-hit stress, coupled with neuroimmune interactions, suggests that mental health is not isolated but instead intimately bound to prenatal experiences. As science continues to unravel these intricate connections, it may pave the way towards a new paradigm of treatment focused on prevention and early intervention.

The study ultimately adds to the growing body of evidence underscoring the importance of both immune health and psychological resilience in shaping a healthier future. As research draws closer to elucidating these relationships, it beckons a re-evaluation of how we view mental health care and its interplay with maternal health and stress exposure. Identifying root causes rather than merely treating symptoms could revolutionize how we understand and deal with mental health issues in generations to come.

Subject of Research: Animals
Article Title: Maternal immune activation followed by peripubertal stress combinedly produce reactive microglia and confine cerebellar cognition
News Publication Date: 3-Mar-2025
Web References: DOI Reference
References: Kyoto University Study
Image Credits: Credit: KyotoU/Ohtsuki lab

Keywords: Cerebellum, Animal research, Acute infections, Behavior disorders, Microglia, Cognitive development, Neuroplasticity