The research, led by Matthew Leedom and Arun Singh of the University of South Dakota together with colleagues at Oregon Health & Science University and other institutions, analyzed resting-state electroencephalography recordings from 237 participants across three study sites. The cohort included 88 healthy controls and 149 people with Parkinson’s disease, all assessed in their clinically defined ON-medication state while taking their usual dopaminergic medication. Among the patients, 73 experienced freezing of gait and 76 did not, allowing the team to ask a deceptively simple question: do the brains of people with Parkinson’s, and specifically those with freezing, generate neural rhythms differently?

To answer it, the researchers abandoned the traditional approach of measuring average spectral power. Conventional EEG analysis averages oscillatory activity over time, which can obscure the fact that brain rhythms do not behave like continuous signals. Beta activity, the frequency range most closely tied to Parkinson’s motor symptoms, actually arrives in short, intermittent packets known as bursts. By detecting these bursts directly, the team could quantify how often they occurred, how long they lasted, how strong they were, and how much of the recording time the brain spent in a burst state, metrics that capture the temporal architecture of neural synchrony rather than its blunt average.

The technical execution was carefully harmonized. Because the three sites used different EEG systems with different sampling rates, the analysis was restricted to a common set of 11 electrodes spanning frontal, central, parietal, and occipital regions. The primary focus fell on the midline fronto-central Cz electrode, a location relevant to lower limb control and gait. Signals were filtered into four frequency bands, theta from 4 to 8 hertz, alpha from 8 to 13 hertz, low beta from 13 to 20 hertz, and high beta from 20 to 30 hertz, and a burst was defined as any moment when the amplitude envelope of the filtered signal exceeded the 75th percentile threshold for that participant, channel, and band. Rigorous artifact removal, independent component analysis, and false discovery rate correction for multiple comparisons guarded against spurious findings.

The headline result was strikingly frequency-specific. People with Parkinson’s disease showed significantly altered low-beta burst dynamics at the mid-frontal region: their low-beta bursts were more frequent, but shorter in duration, compared with healthy controls. Both effects survived statistical correction, with corrected p-values of 0.004 for burst rate and duration. Crucially, burst amplitude and the total proportion of time spent in a burst did not differ between groups, indicating that the disease changes the temporal organization of beta activity, its rhythm of firing and resting, rather than simply cranking up oscillatory power. Exploratory topographic maps showed that these low-beta abnormalities extended beyond the mid-frontal electrode across several central and posterior channels, consistent with the idea that beta bursts are network-level events involving distributed cortical regions rather than isolated local oscillations.

That pattern contrasts intriguingly with earlier invasive findings. Recordings from the subthalamic nucleus, a deep brain target for stimulation therapy, have typically linked prolonged beta bursts to greater motor impairment, particularly when patients are off medication. The current cortical findings, gathered at rest while patients were medicated, instead suggest a fragmentation of beta activity, more bursts that terminate quickly, possibly reflecting dopaminergic modulation, residual disease-related dysfunction, or compensatory cortical reorganization. The authors are careful to note that without simultaneous cortical-subthalamic recordings or direct ON-OFF medication comparisons, the precise mechanism remains an open question.

When the team turned to freezing of gait, the picture changed. In three-group comparisons across healthy controls, patients without freezing, and patients with freezing, low-beta burst rate and duration differed across groups, but when the analysis was restricted to Parkinson’s patients alone and adjusted for disease duration and motor severity on the MDS-UPDRS scale, no significant differences emerged between those with and without freezing. In other words, the low-beta burst abnormalities appear to mark Parkinson’s disease and general motor-network dysfunction rather than freezing specifically. Some apparent freezing-related differences in the unadjusted data likely reflected the fact that patients with freezing tend to have longer disease duration and more severe motor symptoms.

Instead, the strongest signal tied to freezing came from an entirely different frequency band. Theta burst amplitude at the mid-frontal electrode correlated positively with freezing severity, measured with site-standardized questionnaire scores. Both the median theta burst amplitude and the 90th percentile amplitude, capturing the strongest theta events, showed significant correlations with severity, with Spearman’s rho of 0.22 and corrected p-values of 0.032 and 0.028 respectively. No beta-band metric survived correction in these severity analyses. This dissociation is physiologically compelling: theta activity in mid-frontal cortex has long been linked to cognitive control and conflict monitoring, and freezing episodes are most likely to occur in situations demanding heightened executive control, such as turning, navigating doorways, or dual-tasking. Elevated theta burst amplitude could reflect greater recruitment of cognitive control networks as a compensatory response to failing automatic motor control, or alternatively a maladaptive state of network instability and excessive conflict monitoring. Because the data were cross-sectional and collected at rest, the study cannot definitively distinguish between these interpretations.

The findings carry practical implications. Burst-based EEG metrics may serve as complementary biomarkers that capture aspects of Parkinson’s pathophysiology invisible to conventional spectral analysis. A low-beta burst timing signature could help characterize motor-network dysfunction, while theta burst amplitude might offer a continuous, quantitative index of the cognitive-motor burden underlying freezing severity, potentially useful for tracking disease progression or evaluating therapies. Notably, the continuous severity measure proved more sensitive than the categorical freezing-versus-non-freezing classification, hinting that neural dysfunction accumulates along a spectrum rather than switching on at a diagnostic threshold.

The study also has honest limitations. Harmonizing to 11 channels limited spatial resolution and ruled out source localization, resting-state recordings may miss the dynamic processes that unfold during actual walking and freezing episodes, and the timing of patients’ last medication dose was not uniformly standardized across sites, leaving open whether medication itself shaped the burst patterns. FOG severity was measured with different questionnaires at different sites, requiring within-site normalization, and the operational definition of bursts via an amplitude threshold, while consistent with prior work, should not be taken to represent discrete biological events in every instance. Still, the scale of the cohort, the multi-site harmonization, and the clean frequency-specific dissociation make this one of the most systematic examinations of cortical burst dynamics in Parkinson’s disease to date. The next step, the authors suggest, is to combine standardized medication manipulations, higher-density recordings, and tasks that provoke freezing in the laboratory, bringing science closer to the moment when the brain’s rhythm of rhythm itself explains why feet freeze.

Subject of Research: Frequency-specific EEG burst dynamics in Parkinson's disease and freezing of gait

Article Title: Frequency-Specific EEG burst dynamics in Parkinson’s Disease and freezing of gait

Article References: Frequency-Specific EEG burst dynamics in Parkinson’s Disease and freezing of gait. (n.d.). https://doi.org/10.1007/s00415-026-14149-6

Image Credits: AI Generated

DOI: 10.1007/s00415-026-14149-6

Keywords: Parkinson's disease, freezing of gait, EEG, beta bursts, theta oscillations, neural oscillations, basal ganglia, motor networks, cognitive control, biomarkers, neurophysiology, Journal of Neurology

The research focuses on cortical morphometric similarity, a technique that quantifies how similar different regions of the brain’s outer layer are to one another across multiple structural features, including cortical thickness, surface area, gray matter volume, gyrification, and sulcal depth. When two regions share a similar structural profile, they are considered linked in a similarity network. This approach builds on the well-established principle that regions with similar structural signatures often belong to the same functional or developmental systems, allowing researchers to infer large-scale brain organization from structural magnetic resonance imaging alone.

Using this framework, the researchers constructed similarity networks for individuals with anorexia nervosa and for healthy comparison participants, then examined how the networks were organized at both local and global scales. At the local scale, they looked at the connectivity of individual nodes, asking whether specific regions showed stronger or weaker similarity relationships in the patient group. At the global scale, they assessed overall network properties, including how efficiently information could in principle be integrated across the cortex and how segregated specialized communities of regions remained from one another.

The results showed a coherent pattern of disruption. Rather than a diffuse or random alteration, anorexia nervosa was associated with systematic changes concentrated in cortical systems known to support interoception, reward processing, and cognitive control, including insular, frontostriatal, and parietal regions. These are precisely the circuits that have been implicated in the distorted body image, altered appetite signaling, and rigid, perseverative behavior that characterize the illness. The overlap between structural similarity alterations and previously identified functional disturbances lends weight to the idea that the disorder reflects a deep reorganization of cortical systems rather than a localized defect.

Perhaps the most provocative finding concerns the relationship between local and global organization. In the healthy brain, local similarity relationships scale up in a predictable way to produce global network properties, so that the whole cortex functions as an integrated but differentiated system. In anorexia nervosa, this scaling appeared to break down. The coupling between local node-level features and global network measures was attenuated, suggesting that the usual rules linking microstructural or regional organization to whole-brain architecture are disrupted in the disorder. The authors describe this as a local–global breakdown, a phrase that captures both the technical observation and its potential significance for understanding symptoms.

Why should such a breakdown matter clinically? One possibility is that it reflects a failure of hierarchical integration. Eating behavior depends on the brain’s ability to combine signals from many levels of organization: the fine-grained sensing of internal bodily states, the regional circuits that assign value to food, and the global networks that coordinate decisions, self-representation, and long-term goals. If local and global levels of cortical organization no longer align, the integration of these signals may become noisy or biased, producing the characteristic mixture of body-image distortion, diminished reward from eating, and inflexible behavior seen in patients.

The study also connects to a broader shift in psychiatry toward network neuroscience, which treats mental disorders as problems of brain network organization rather than dysfunction of single regions. Under this view, symptoms emerge from patterns of interaction among distributed neural systems. The morphometric similarity approach used here is particularly well suited to this perspective because it captures structural covariance across the entire cortex in a single model, and because it can be applied to the large datasets needed to detect reliable group differences. Anorexia nervosa, which has proven difficult to localize with traditional case-control comparisons, may be exactly the kind of disorder in which network-level measures reveal what region-level analyses miss.

Methodologically, the work demonstrates the value of multi-scale analysis. Many neuroimaging studies report either local differences, such as altered cortical thickness in one region, or global differences, such as changed whole-brain connectivity, but rarely test whether the two levels remain consistent with each other. By doing so, the authors were able to show that the disorder does not simply shift individual measurements up or down; it alters the relationship between scales of organization. This kind of finding is harder to produce through artifacts of head motion, medication, or scanner differences, strengthening confidence that the effect is a genuine feature of the illness.

The clinical implications are still early, but they are worth considering. If the local–global coupling of cortical similarity networks indexes the brain’s capacity for hierarchical integration, it could eventually serve as a biomarker for illness severity, trajectory, or treatment response. Longitudinal studies could test whether the breakdown precedes symptom onset, deepens with chronicity, or reverses with weight restoration and psychotherapy. Such work would be especially valuable in anorexia nervosa, where mortality rates are among the highest of any psychiatric disorder and where current treatments help only a proportion of patients.

The study leaves open important questions. Morphometric similarity is an indirect measure, derived from structural features rather than from direct measurements of microstructure or connectivity, and the cross-sectional design cannot establish causality between network reorganization and symptoms. It remains unclear whether the local–global decoupling is a cause of disordered eating, a consequence of malnutrition and starvation, or a shared vulnerability that predates the illness. Answering these questions will require longitudinal designs, adolescent cohorts, and convergence with functional and diffusion imaging. Even so, by showing that anorexia nervova involves a measurable disruption of the brain’s multi-scale architecture, the study moves the field closer to a mechanistic account of one of psychiatry’s most stubborn disorders, and it suggests that the answers may lie not in any single brain region but in the broken dialogue between local detail and global design.

Subject of Research: Cortical morphometric similarity network organization in anorexia nervosa

Article Title: Local–global breakdown of cortical similarity networks in anorexia nervosa

Article References: Facca, M., Meregalli, V., Gentili, S., Bertoldo, A., Manara, R., Favaro, A., & Collantoni, E. (2026). Local–global breakdown of cortical similarity networks in anorexia nervosa. Nature Mental Health. https://doi.org/10.1038/s44220-026-00730-5

Image Credits: AI Generated

DOI: 10.1038/s44220-026-00730-5

Keywords: anorexia nervosa, cortical similarity networks, network neuroscience, morphometric similarity, eating disorders, brain connectivity, local–global organization, neuroimaging, psychiatry, interoception, cognitive control, Local

Executive function is one of the most intensively studied constructs in developmental cognitive neuroscience. It encompasses working memory, inhibitory control, and cognitive flexibility, and it predicts a wide range of later outcomes, from academic achievement to mental health. Decades of work have tied these abilities to distributed neural networks, including prefrontal and parietal cortical regions and their connections with subcortical structures. Yet measuring the development of these networks in toddlers and preschoolers remains notoriously difficult, because conventional tasks demand cooperation, sustained attention, and verbal comprehension that very young children often cannot provide.

This is where spontaneous blink rate enters the picture. Blinking is not merely a reflexive mechanism for keeping the cornea moist. A substantial body of research in adults has shown that spontaneous blinks are temporally linked to activity in dopaminergic pathways and to fluctuations in attention and cognitive state. Blink rates shift with cognitive load, with fatigue, and with disorders affecting dopaminergic systems, such as Parkinson’s disease. Because midbrain dopaminergic circuits are also central to the development of executive function, researchers have long suspected that blink behavior might carry information about the same neural machinery that supports cognitive control.

The new study examined whether blink rate measured in early childhood tracks individual differences in the neural substrates that underlie executive function. The authors report that emergent blink rate during this developmental window is associated with neural measures tied to the origins of executive function, consistent with the idea that blinking reflects the maturing state of dopaminergic and frontostriatal circuitry. In practical terms, the work points toward blink rate as a candidate behavioral index that could complement, or in some contexts substitute for, more demanding neuroimaging and behavioral assessments in young children.

The appeal of such an index is hard to overstate. Blink rate can be recorded with inexpensive, noninvasive equipment, including high-speed video, eye trackers, or even standard cameras, and it does not require the child to understand instructions or remain still in an unfamiliar scanner. For developmental scientists, this opens the possibility of collecting large-scale, longitudinal datasets in populations that have historically been underrepresented in neuroscience research, including infants, toddlers, and children with developmental conditions that make traditional testing challenging.

The study also speaks to a broader theoretical debate about how executive function emerges. Rather than viewing cognitive control as a set of skills that appear abruptly when children reach a certain age, contemporary accounts emphasize gradual, protracted maturation of underlying neural circuits, shaped by genetics, environment, and experience. If blink rate covaries with the neural origins of these circuits, it offers a real-time behavioral readout of that maturation process, one that unfolds continuously and can be sampled repeatedly across development without burdening the child.

At the same time, researchers caution that blink rate is influenced by many factors beyond dopamine and cognition, including ambient humidity, screen exposure, sleep, and ocular health. Any clinical or research application would need to account for these confounds, and associations observed at the group level do not translate directly into diagnostic tools for individual children. The present findings establish an association, not a causal mechanism, and future longitudinal work will be needed to determine whether early blink trajectories predict later executive function outcomes or simply co-occur with them during a shared developmental period.

Nevertheless, the study adds to a growing appreciation that seemingly trivial behaviors can carry rich information about brain development. Eye movements, heart rate variability, and even patterns of spontaneous movement have all been proposed as windows into the developing nervous system. Blinking now joins this list, with the distinctive advantage of being effortless to measure and deeply rooted in the same neurotransmitter systems that sculpt the prefrontal cortex. As datasets grow and analytic methods mature, markers of this kind may help identify children at risk for attentional or executive difficulties earlier than ever before, when interventions are likely to be most effective.

The research, published in Communications Psychology, underscores a recurring lesson in developmental science: the origins of complex cognition are often visible in the simplest of behaviors. By following the humble blink from infancy onward, scientists may gain a clearer view of how the brain’s executive machinery assembles itself, one spontaneous blink at a time.

Subject of Research: The association between spontaneous blink rate in early childhood and the neural origins of executive function

Article Title: Emergent blink rate in early childhood is associated with neural origins of executive function

Article References: Emergent blink rate in early childhood is associated with neural origins of executive function. (n.d.). https://doi.org/10.1038/s44271-026-00524-6

Image Credits: AI Generated

DOI: 10.1038/s44271-026-00524-6

Keywords: blink rate, executive function, child development, dopamine, developmental neuroscience, cognitive control, prefrontal cortex, eye tracking, behavioral markers, Communications Psychology, Emergent, blink

The study was motivated by a gap in the existing literature. Most research on digital media and cognition has focused on total screen time, treating hours of use as the key exposure variable. The authors argue that this approach misses the structure of modern digital behaviour. Generation Z university students, often described as digital natives, do not simply use their phones a lot; they use them in a particular pattern, dominated by brief sessions, frequent pickups and a substantial share of passive consumption such as scrolling through content without active engagement. To capture that structure, the researchers set out to characterize the entire digital footprint, including duration, fragmentation and content type, and to test how each dimension relates to cognitive control.

The methodology combined ecological realism with statistical rigour. Participants were health sciences students whose smartphones recorded seven days of objective usage logs. Rather than bringing students into a laboratory to perform a computerized task on unfamiliar equipment, the team deployed a custom mobile Stroop task that participants completed on their own devices, maximizing ecological validity. In the Stroop paradigm, people must name the ink colour of a word while ignoring the word itself; incongruent trials, where the word and colour conflict, tax the brain’s conflict-resolution machinery, while congruent trials, where word and colour match, can be resolved largely by automatic processing. A clinical battery also assessed sleep quality, attention deficit hyperactivity disorder symptoms, anxiety, headache, neck disability and computer vision syndrome, allowing the researchers to separate digital habits from somatic and psychiatric burden.

The objective data painted a portrait of intensive, highly fragmented use. The median participant logged 6.6 hours of daily screen time, picked up the phone 142 times per day, and averaged just 2.9 minutes per session, with roughly 40 percent of consumption being passive. These numbers quantify what many people intuitively recognize: the modern smartphone day is not a few long engagements but a continuous drip of micro-sessions, each one an interruption of whatever came before. The researchers also developed a Cumulative Digital Load Score, a self-report measure intended to summarize this burden, and compared it against the device logs.

Analyses proceeded on two levels. First, theory-driven family-based correlation analyses, corrected for multiple comparisons across 13 tests using the false discovery rate procedure, examined how screen patterns related to Stroop performance. These analyses showed that fragmentation metrics were significantly associated with conflict resolution costs, meaning that students whose phone use was most broken up performed worse when faced with incongruent, conflicting information. Second, trial-level linear mixed-effects models were fitted across 12,035 individual Stroop trials, allowing the researchers to isolate the momentary effects of different predictors on accuracy trial by trial, rather than relying on coarse summary scores.

The results of the modelling revealed two distinct profiles of impairment. High digital attention fragmentation was linked to a selective weakening of proactive cognitive control: it increased errors specifically on incongruent trials, the trials that require maintaining an intention and applying it against interference. In contrast, clinical and somatic symptom burden, along with ADHD symptomatology, was associated with a broader accuracy cost that extended even to highly automated congruent trials. Particularly for somatic pain burdens, the deficit was not confined to effortful conflict resolution but spilled over into tasks that normally run on autopilot. This dissociation is analytically important, because it suggests that fragmented media use and clinical symptom load degrade cognition through different mechanisms rather than a single generic impairment.

Passive consumption told its own story. The study found that passive use was associated with block-dependent processing delays, slowing responses without affecting performance on highly automatic cognitive tasks. The authors are careful to flag a limitation here: because the two task blocks were administered in a fixed order, this contrast is confounded with task order and practice effects, so the passive consumption finding should be interpreted with caution. Even so, the pattern fits a model in which passive scrolling dulls momentary processing speed while leaving automated routines intact, whereas fragmentation erodes the more strategic, anticipatory layer of executive control.

One of the study’s most sobering results concerns measurement itself. The convergence between the self-reported Cumulative Digital Load Score and the objective device logs was weak, with correlations of roughly 0.14 to 0.18. In other words, what students believed about their digital load and what their phones actually recorded captured related but distinct aspects of behaviour, not interchangeable estimates of the same construct. This has practical implications far beyond the study: much of the existing literature on screen time and mental health rests on self-report, and this work adds to growing evidence that subjective estimates of device use can diverge substantially from reality.

The authors’ conclusion resists a simple moral panic. Digital exposure, they argue, does not produce a single, homogeneous cognitive deficit. Instead, the data support a more nuanced account in which the pattern of use matters more than the volume. Highly fragmented use, defined by constant interruptions and short session durations, is associated with poorer proactive cognitive control and a specific accuracy cost on demanding trials, while passive consumption is linked to processing delays that spare automatic cognition. Because the study is cross-sectional, it cannot establish causation; it remains possible that people with weaker proactive control are also more prone to fragmenting their attention, rather than fragmentation causing the deficit. Longitudinal and interventional work will be needed to settle the direction of the relationship.

Even with that caveat, the practical message is actionable. If fragmentation, not duration, is the cognitive culprit, then cognitive health in the digital age may benefit from targeted digital hygiene strategies that prioritize minimizing attention fragmentation, such as batching notifications, lengthening uninterrupted periods and reducing the sheer number of pickups, rather than fixating solely on cutting total screen time. For a generation whose phones register more than a hundred pickups a day, the difference between six and four hours of screen time may matter far less than whether those hours arrive as sustained engagement or as a storm of two-minute fragments. The study, funded in part by TÜBA and approved by the Gazi University Ethics Commission, offers a technically sophisticated template for asking that question with objective data, and it reframes the debate about screens from how much to how.

Subject of Research: How smartphone use fragmentation and passive consumption relate to cognitive control in Generation Z university students.

Article Title: The neurocognitive cost of media multitasking: fragmented screens, fragmented minds!

Article References: Ince, M. S., Guzel, I., Bahcelioglu, M., & Bolay, H. (2026). The neurocognitive cost of media multitasking: fragmented screens, fragmented minds!. BMC Neuroscience. https://doi.org/10.1186/s12868-026-01043-0

Image Credits: AI Generated

DOI: 10.1186/s12868-026-01043-0

Keywords: media multitasking, cognitive control, digital footprint, screen fragmentation, passive consumption, proactive control, Stroop task, digital phenotyping, smartphone use, ADHD symptoms, digital hygiene, BMC Neuroscience

The stakes of the question are hard to overstate. Executive function skills develop rapidly during childhood, and performance on executive function assessments in early life predicts academic achievement, social competence and behavioral adjustment years later. Meta-analyses cited by the authors link early executive function to reading and science outcomes, to long-term academic attainment and even to reduced risk of psychopathology. Because these skills correlate with so many positive life outcomes, they have become one of the most attractive targets for intervention in developmental science, education policy and public health. Programs ranging from preschool curricula to computerized brain training have been launched on the premise that executive function is highly malleable. Yet the review notes that the experimental evidence for far transfer, meaning improvements that carry over from trained tasks to real-world outcomes, remains weak, and meta-analytic work on cognitive training generally concludes that gains rarely generalize beyond the trained tasks themselves.

The authors begin by examining how executive function is defined and measured, and they identify this as a foundational problem. In the classic latent-variable framework, executive function decomposes into inhibition, working memory updating and shifting, with a common underlying factor. But in young children, tasks designed to tap these components often fail to show the clean separations seen in adults, and performance depends heavily on how familiar children are with task demands, labels and materials. Studies showing that familiar labels help children engage proactive control, or that multidimensional reasoning boosts performance on the dimensional change card sort task, suggest that what looks like a general executive capacity is often knowledge and context bound. The review argues that executive function is best understood as a set of skills that are shaped by experience and deployed in specific situations, rather than as a fixed, domain-general cognitive muscle that any training program can strengthen.

Measurement is where this conceptual ambiguity becomes a practical crisis. The most common assessments, including conflict tasks such as the flanker and day-night paradigms, card sorting tasks and delayed gratification measures, were largely developed in Western, educated, industrialized, rich and democratic populations. Cross-cultural work reveals striking variability: cognitive flexibility patterns differ across cultural settings, and studies in Jordan, Kenya, Brazil, South Africa and The Gambia show that task performance and its environmental predictors do not map neatly onto the models built in North American and European samples. Parent and teacher rating scales, such as the Behavior Rating Inventory of Executive Function, capture yet another construct, one that correlates imperfectly with laboratory performance measures. The authors highlight emerging alternatives, including group-based classroom assessments and observational measures that embed executive function demands in real-world activities, which may better capture how regulation skills operate where children actually live and learn.

Turning to socioeconomic status, the review acknowledges one of the most consistent findings in the literature: children from lower socioeconomic backgrounds tend to score lower on executive function assessments, an association confirmed by meta-analysis. But the authors are emphatic that this correlation is causally ambiguous and often context-dependent. Socioeconomic status is a composite construct encompassing income, education, occupation and neighborhood resources, and critics cited in the review argue that treating it as a unitary variable obscures the specific mechanisms at work. Longitudinal studies point to candidate mediators, including cognitive stimulation, language development and environmental predictability, with neuroimaging work suggesting that cognitive stimulation is linked to neural function supporting working memory. Genetic confounding also looms large, as studies of maternal education and prenatal smoking show that inherited factors account for a substantial share of the apparent environmental effects. The review warns against deficit framing, urging researchers to consider how children’s skills may represent adaptations to the specific environments they inhabit.

The home environment and parenting emerge as a second major experiential domain, and one where the evidence is similarly suggestive but rarely decisive. Household chaos, characterized by noise, crowding and unpredictable routines, is associated with poorer executive function, an effect documented in meta-analysis and partially buffered by high-quality childcare. Home literacy environments, parental scaffolding, autonomy support and attachment security all show positive associations with children’s self-regulation in numerous studies spanning the United States, China, Chile, Korea and Côte d’Ivoire. Experimental work adds encouraging signal: an experimental study found that autonomy-supportive interactions improved preschoolers’ self-regulation, and a randomized clinical trial showed that an early parenting intervention accelerated inhibitory control development among children involved with child protective services. Still, the review stresses that most of this evidence is correlational, that effect sizes are typically modest, and that gene-environment correlation means children both shape and are shaped by their families in ways that standard designs cannot untangle.

Schooling, the third focal domain, offers some of the strongest quasi-experimental evidence that experience shapes executive function. School cutoff designs, which compare children born just before and just after enrollment deadlines, indicate that a year of schooling improves cognitive control and even alters associated patterns of brain activation. Differential growth in working memory across school-year and summer months suggests that classrooms actively promote executive function development rather than merely tracking maturation. The quality of teacher-child interactions matters as well, with meta-analytic evidence linking classroom interaction quality to children’s executive function gains. Curricular interventions tell a more complicated story. Programs such as Tools of the Mind generated early enthusiasm, but large rigorous evaluations have produced mixed results, while games-based approaches such as Red Light, Purple Light have shown benefits for school readiness in some low-income samples, including trials in Kenya. The Chicago School Readiness Project stands out for demonstrating longer-term impacts on behavioral regulation that persisted into late adolescence.

Why, then, has the intervention literature so often fallen short of its promise? The review offers a synthesis: interventions have typically treated executive function as a generic capacity to be exercised like a muscle, rather than asking what specific experiences, in specific contexts, help specific children regulate their behavior toward specific goals. The authors draw on a growing contextual perspective in developmental science, one that recognizes culture as constitutive rather than incidental. Culturally organized practices such as autonomy and helping, Indigenous frameworks of connectedness and culturally meaningful forms of self-regulation all suggest that the skills valued and cultivated in one community may differ from those assumed by standardized assessments and imported curricula. Ethical concerns raised by anthropologists about parenting interventions exported to low- and middle-income countries reinforce the point that interventions must be grounded in local meanings, values and strengths rather than framed around supposed deficits.

The review closes by outlining four key directions for future work. First, researchers need better conceptualizations of environmental quality and experience, moving beyond coarse socioeconomic categories to measure the specific features of environments, such as cognitive stimulation, predictability and stress, that plausibly shape developing regulation skills. Second, the field must improve the measurement of executive function itself, developing contextually grounded assessments that are validated across cultural and linguistic groups and that capture regulation as it unfolds in classrooms, homes and everyday activities. Third, studies must be designed to support stronger causal inference, leveraging natural experiments, randomized designs and genetically informed methods while remaining ecologically valid. Fourth, the authors call for greater attention to diversity and equity in who is studied, how findings are interpreted and who benefits from the resulting interventions, including genuine partnerships with communities in majority-world settings.

For a field with such high public stakes, the message of this review is both sobering and generative. Executive function skills matter enormously, they are demonstrably linked to experience, and yet the science of exactly how experience builds them remains incomplete in ways that have limited the success of interventions designed to improve children’s life chances. By demanding sharper concepts, better measures and culturally informed designs, the authors are not dismissing decades of work but redirecting it toward the questions that matter most. If the next generation of research can specify how experiences get under the skin to strengthen children’s regulation of thought and action, the promise of executive function science, from closing achievement gaps to designing smarter educational policies, may finally be kept.

Subject of Research: How experience such as socioeconomic status, parenting and schooling shapes the development of childhood executive function skills

Article Title: Understanding how experience supports the development of executive function skills

Article References: Doebel, S., Chevalier, N., Lipina, S. J., Rabii, V., & Ahmed, S. F. (2026). Understanding how experience supports the development of executive function skills. Nature Reviews Psychology. https://doi.org/10.1038/s44159-026-00614-6

Image Credits: AI Generated

DOI: 10.1038/s44159-026-00614-6

Keywords: executive function, child development, socioeconomic status, parenting, home environment, schooling, cognitive control, self-regulation, working memory, inhibitory control, cognitive flexibility, intervention

The study, conducted by Stephanie L. Souliere and Nicholaus P. Brosowsky of the Department of Psychology at the University of Manitoba in Winnipeg, tackles a long-standing puzzle in the literature on cognitive control. Over the past two decades, researchers have repeatedly demonstrated what is known as the context-specific proportion congruency effect. In these experiments, one context—typically a location on the screen or a background color—is associated with frequent conflict between stimuli and responses, while another context is associated with little conflict. Participants unknowingly learn these contingencies and adjust their selective attention accordingly: in high-conflict contexts they attend more narrowly to the relevant stimulus dimension, and in low-conflict contexts they relax their focus, letting irrelevant information leak in. Crucially, this modulation occurs even for items that appear with equal frequency in both contexts, which rules out simple stimulus-response learning and points instead to a cue-driven memory process at the heart of attentional control.

Yet the effect has proven stubbornly difficult to replicate in some labs, and the reasons have remained unclear. A persistent methodological worry is that in most versions of the task, the same small set of words and colors repeats across hundreds of trials. If a particular word, say the word “red” printed in blue, happens to co-occur more often with one context than another, participants might learn item-specific associations rather than true context-based control settings. The observed “context effect” could then be a compound-cue contingency learning artifact in disguise—a confound that has shadowed the field for years and complicated theoretical interpretation of hundreds of published findings.

Souliere and Brosowsky designed their study specifically to eliminate this confound. They employed a trial-unique Stroop paradigm in which every single trial consists of a stimulus and a response that never reappear at any point in the experiment. Participants might see the word “curl” printed in green and respond according to the ink color, then never encounter “curl” or that particular color-word pairing again. With no repetition of items across trials, there can be no accumulation of item-specific associative regularities for participants to exploit. Any difference in performance between contexts, the logic goes, must reflect genuine context-guided control rather than learned item contingencies. The contexts themselves were defined by combinations of auditory and visual cues: distinct background colors on the screen and distinct ambient tones delivered through headphones, allowing the researchers to manipulate contextual signals across sensory modalities.

The experimental design pitted two contexts against each other in terms of conflict frequency. In the high-conflict context, only 20 percent of trials were congruent—meaning the irrelevant word matched the ink color and response—while 80 percent of trials were incongruent, creating maximal interference. In the low-conflict context, the proportions were reversed, with 80 percent congruent trials. If attention is guided by memory retrieval from contextual cues, participants should gradually adopt a sharper, more focused attentional set in the high-conflict context, producing smaller Stroop interference effects, and a looser set in the low-conflict context, producing larger interference effects. This is precisely the pattern of results that defines the context-specific proportion congruency effect, and it is exactly what the memory-guided selective attention hypothesis predicts.

The first experiment delivered a clear result. Trials presented in the low-conflict context exhibited significantly larger congruency effects—bigger differences in reaction time between congruent and incongruent trials—compared with trials in the high-conflict context, despite the fact that individual items were matched across contexts in every respect. Because the trial-unique design prevented any item from recurring, the finding supports the idea that attentional priorities become associated with contextual cues during learning and are then automatically reinstated through memory retrieval whenever the cue reappears. Participants were not consciously deciding to attend differently in each context; the memory system was doing the work beneath awareness, adjusting the spotlight of attention based on the conflict history of the surrounding environment.

The second experiment went further, both replicating the core finding and probing which kinds of contextual cues are powerful enough to trigger the effect. Participants were assigned to one of three conditions: a combined condition in which each context was signaled by both an auditory tone and a visual background, an auditory-only condition in which tones alone defined the contexts, and a visual-only condition in which background features alone defined the contexts. The context-specific proportion congruency effect replicated successfully in the combined condition and in the visual-only condition, but not in the auditory-only condition. Tones paired with the same visual background still allowed learning, presumably because the visual component carried the associative signal, but when auditory cues were the sole contextual signal, participants failed to modulate their attention by context at all.

This asymmetry between modalities is among the most practically interesting aspects of the study. It suggests that visual contextual cues may be substantially more effective than auditory ones at binding attentional control settings into memory and reinstating them later. The authors note that this could reflect inherent differences in how the visual and auditory systems contribute to contextual memory, differences in the salience or discriminability of the particular cues used, or the fact that attention in a primarily visual task is already oriented toward the visual field, making visual features natural anchor points for context learning. Whatever the mechanism, the finding establishes an important boundary condition on the generality of context-specific control and offers a caution for future experiments: not all contextual cues are created equal.

Beyond its theoretical contribution, the study addresses a methodological crisis that has troubled this research area. Replication difficulties in the context-specific proportion congruency literature have led some to question whether the effect is real or fragile. By stripping away item-repetition confounds and still observing robust context-specific modulation across two preregistered experiments, Souliere and Brosowsky provide compelling evidence that the memory-guided account survives the strictest test available. The trial-unique paradigm they validated offers a clean methodological foundation for future work, allowing researchers to study context-guided attention without worrying about associative contamination. Both experiments were preregistered, and all data, materials, and analysis code are openly available on the Open Science Framework, reflecting the study’s commitment to transparency in a field acutely aware of its own reproducibility challenges.

The technical execution of the study also deserves mention. Because the paradigm incorporated auditory stimuli delivered over the web, the researchers used precise audio-clock scheduling to ensure tight audio-visual synchronization of stimuli, and they screened participants with headphone checks designed for web-based auditory experiments. Reaction time data were analyzed with generalized linear mixed models fit using a Gamma distribution with an identity link, an approach recommended for modeling raw reaction times without log transformation, and performance was additionally evaluated with combined measures of speed and accuracy to guard against speed-accuracy trade-offs. These choices reflect a broader modernization of analytic practice in cognitive psychology, moving beyond traditional ANOVA on trimmed means toward models that respect the statistical properties of the underlying data.

The implications of the findings extend well beyond the laboratory. If attentional settings are stored in memory and triggered by environmental context, then our ability to focus may depend heavily on where we are and what surrounds us—in ways we neither notice nor control. A desk cluttered with the trappings of frequent distraction may itself prime looser attention, while an environment historically associated with demanding work may automatically sharpen focus the moment we enter it. The study also resonates with a growing literature on memory-guided attention more broadly, which has shown that learned associations between stimuli and their spatial or temporal contexts bias attention and eye movements in navigating the world. What the new work adds is evidence that the very “settings” of selective attention—the internal dials governing how much irrelevant information we filter out—can be part of that stored contextual knowledge.

For the researchers, the next steps involve refining the account of why visual cues dominate and whether auditory contexts can become effective under different conditions, perhaps with richer, more naturalistic sounds or with contexts that are themselves task-relevant. For the field at large, the study closes a loop that opened with early demonstrations of location-based context-specific control and endured years of contested replications. The mind, it turns out, remembers not just what happened, but how hard it had to work when it happened—and it uses that memory, silently and automatically, to prepare for the next conflict before it arrives.

The puzzle at the heart of the study concerns what psychologists call the alerting-congruency interaction. In everyday laboratory tasks, people respond to targets—say, identifying the color of a word or the direction of a central arrow—while ignoring distracting information flanking or embedded in the display. When the distractor suggests the wrong response, performance slows and errors increase; this is the congruency effect, a cornerstone measure of cognitive control. Since the early 2000s, researchers led by studies such as Callejas and colleagues’ work on the three attentional networks had shown that presenting a sudden alerting cue, like an auditory warning tone shortly before the display, reliably enlarges this congruency effect. The alert makes you faster overall, but paradoxically it also makes distractors more potent saboteurs. One influential interpretation holds that alertness broadens the attentional spotlight or boosts global processing, letting irrelevant information flood in alongside the relevant signal.

Yet a persistent anomaly complicated this tidy picture. The alerting-congruency interaction shows up robustly in the arrow version of the Eriksen flanker task, where participants report the direction of a central arrow flanked by misleading arrows, but it stubbornly fails to appear in Stroop tasks, where people must report the color of a color word whose meaning conflicts with the correct answer. Because arrows carry pre-existing directional associations with left and right responses, while color words in the versions used do not map directly onto motor responses, several theorists proposed that the interaction requires stimulus-response directional associations. In this view, alerting signals amplify only those distractors that can automatically activate a motor response through learned directional links. The claim mattered theoretically because it touched on foundational debates about automaticity, dimensional overlap, and the architecture of stimulus-response translation—a taxonomy famously laid out by Kornblum and colleagues in 1990.

Golden and her team, including Thomas G. Hutcheon of Bard College, Katherine M. Mathis of Bates College, Emily R. Cohen-Shikora of Washington University in St. Louis, and Todd A. Kahan of Bates College as senior author, saw a different possible culprit: the timing of distractor processing. In standard implementations of both the flanker and Stroop tasks, the distractor and target appear simultaneously and remain visible until response. But the two tasks differ subtly in how quickly their distractors activate competing information. Arrows are potent, rapidly processed directional signals whose interference typically peaks early in the reaction-time distribution and then declines as cognitive control suppresses the wrong response. Stroop-type distractors in keypress versions, by contrast, produce interference that builds more gradually across the distribution. If alerting signals accelerate processing overall, they reasoned, then the interaction might simply depend on where in time the distractor’s activation lands relative to the target’s—rather than on whether the distractor has directional meaning.

To test this, the researchers manipulated distractor preview. In the preview condition, the distracting information appeared on the screen alone for a brief interval before the target was added, giving the distractor a head start. In the no-preview condition, distractor and target appeared together, replicating the standard arrangement. Each display was either preceded by an alerting cue or not, and each trial was either congruent or incongruent. Experiment 1 used Stroop stimuli—color words printed in colors—with 158 participants responding via keypress. Experiment 2 used the arrow flanker task with 157 participants. The factorial design yielded 32 trials of each of eight conditions across 256 total trials, with the first six treated as practice and the rest split into five blocks of 50. Crucially, both experiments were conducted online, with subject-level data made publicly available on the Open Science Framework.

The results in the standard, no-preview conditions replicated the literature precisely. Stroop performers showed no significant alerting-congruency interaction—the alert sped people up but did not reliably change how much the conflicting word hurt them. Flanker performers, meanwhile, showed the classic robust interaction: following an alerting cue, the cost of incongruent flanking arrows was magnified. If the field had stopped here, the directional-association hypothesis would have stood unchallenged for another round. But the preview conditions rewrote the story entirely. When Stroop distractors were previewed before the target, a significant alerting-congruency interaction emerged for the first time in this paradigm—alerting now amplified the congruency effect. And when flanker distractors were previewed, the interaction not only vanished but reversed in tendency, with the congruency effect becoming numerically smaller after an alerting cue. Timing, in other words, did what a decade of stimulus-selection arguments could not: it flipped the pattern in both tasks.

The authors supported these conclusions with delta plots, a distributional analysis technique that plots the congruency effect across quantiles of the reaction-time distribution, from the fastest responses to the slowest. Derived from the activation-suppression framework developed by Ridderinkhof and formalized in models by Ulrich, Schröter, Leuthold, and Birngruber, delta plots reveal the time course of automatic distractor activation and its suppression. In the flanker task with simultaneous presentation, congruency effects are typically largest in fast responses and shrink with slower ones—the signature of a distractor whose activation arrives early and is then inhibited. Stroop-type keypress tasks often show the opposite, with interference growing across the distribution. The delta plots in the new experiments confirmed that previewing the distractor shifted this temporal signature in exactly the way the timing account predicts, supporting the conclusion that when distractor activation peaks relative to target processing is the critical variable governing whether alertness helps or hinders conflict resolution.

Several additional details strengthen the interpretation. In the flanker experiment, participants were significantly faster on alerted trials overall, F(1, 116) = 38.18, p < .001, ηp² = .25, a substantial main effect of alerting that counters any argument the interaction should only be recognized when accompanied by such an effect. The team also checked robustness: rather than excluding reaction times by arbitrary cutoffs, they used geometric means to preserve the full distribution, and a supplementary trimming analysis removing values beyond two standard deviations from each participant’s condition mean reproduced the identical pattern of significance in every experiment, including replication sub-experiments labeled 1b, 2a, and 2b. The research formed part of Golden’s undergraduate honors thesis at Bates College, supported by a Bates College Student Research Fund grant, and was approved by the Bates College Institutional Review Board in accordance with APA ethical standards and the Declaration of Helsinki.

What does this mean for theories of attention? First, the results undermine the claim that alerting-congruency interactions require pre-existing stimulus-response directional associations. Stroop stimuli lacking such associations produced the interaction once distractors were given a temporal head start, while arrow stimuli possessing those associations lost the interaction under the same manipulation. Directionality, whatever its other roles, cannot be the deciding factor. Second, the findings breathe new life into temporal-overlap accounts of conflict, echoing classic work by Hommel on the Simon task and more recent electrophysiological and behavioral studies by Mackenzie, Mittelstädt, Ulrich, and Leuthold on the temporal order of relevant and irrelevant dimensions. Alerting signals appear to accelerate the engine of processing; whether this acceleration inflates or deflates measured conflict depends on whether the distractor’s activation curve is ahead of or behind the target’s at the moment responses are selected. A distractor that has already accumulated activation when alertness surges gets amplified; a distractor still ramping up may be caught by the target’s head start and suppressed more effectively.

The practical and methodological implications ripple outward. Task comparison studies that attribute differences between paradigms to stimulus properties may instead be capturing differences in processing dynamics—something researchers such as Pratte and Mittelstädt and colleagues have emphasized in recent distributional work on flanker and Stroop tasks. Experimenters who choose stimulus durations and preview intervals are implicitly choosing a point on the distractor’s activation curve, and the new results suggest this choice can determine whether alertness and control appear coupled or independent. Beyond the laboratory, the work speaks to the broader question of how phasic alertness—the brief surge of arousal produced by warnings, alarms, and sudden events—interacts with selective attention in real-world settings, from cockpit warnings to medical monitor alarms. Whether an alerting signal helps you ignore the noise or makes the noise louder may depend less on what the noise means than on when it started talking.

The authors caution that their studies were not preregistered, and they frame the discussion as a challenge for formal models of the interaction rather than a definitive verdict. Activation-suppression race models, diffusion-based dual-process accounts, and conflict-monitoring theories will each need to accommodate the preview reversal. Still, with subject-level data openly available, the findings offer a concrete empirical anchor. For now, the message is strikingly simple: to understand why being alert sometimes makes distraction worse, watch the clock, not the arrow.