Frontiers in Integrative Neuroscience

Objective: To evaluate long-term neurological, mental, and menstrual health outcomes using a mixed-methods approach among women approximately 2 years after concussion compared with non-head-injured controls. Setting: Participants were recruited from [University X] sites, including the Concussion Clinic, Emergency Departments, Student Health Clinic, and [University X] + Me registry (April 2023 to September 2025). Follow-up occurred October to November 2025. Participants: Eligible participants were assigned female at birth, aged 18 to 45 years, not using hormonal birth control, and, for the concussion group, diagnosed within 7 days of injury. Of 45 concussion patients and 29 controls recruited, 11 concussion patients (mean age 30.4 +/- 8.4 years) and 16 controls (31.3 +/- 7.4 years) completed follow-up. Main Measures: Post-concussion symptoms were assessed using the Rivermead Post-Concussion Symptoms Questionnaire (RPQ), depression using the Patient Health Questionnaire-9 (PHQ-9), and anxiety using the Generalized Anxiety Disorder-7 (GAD-7). Menstrual health was assessed using study-specific measures. Qualitative data captured perceived impacts on daily life, with recurring themes summarized using word clouds. Results: At follow-up, concussion patients reported significantly greater symptom burden (RPQ: 31.6 +/- 13.5 vs 9.4 +/- 9.8; p=0.0002; Hedges g=1.90), depression (PHQ-9: 9.5 +/- 6.5 vs 2.3 +/- 2.2; p=0.0005; g=1.60), and anxiety (GAD-7: 9.8 +/- 6.8 vs 2.8 +/- 3.0; p=0.0057; g=1.42). Qualitative findings highlighted persistent headaches, sleep difficulties, reduced interest, and effects on relationships and daily functioning. Conclusions: This study demonstrates significant long-term differences in symptom burden among women with concussions compared to controls. Findings highlight the importance of understanding real-world impacts to improve long-term care.

BACKGROUND Children receiving extracorporeal membrane oxygenation (ECMO) are at high risk for focal cerebral injury (FCI). There is emerging evidence that electroencephalography (EEG) may aid FCI detection. The EEG Correlate of Injury to the Nervous System (COIN) index quantifies and displays focal background asymmetries. We evaluated whether COIN is associated with FCI in pediatric ECMO. METHODS Retrospective, cross-sectional study of patients age 28 days to 21 years, on venoarterial ECMO at a tertiary children's hospital, who received EEG monitoring and neuroimaging during ECMO. COIN was calculated from all available EEG data. COIN of 0 implies a symmetric EEG and negative COIN values are observed with FCI. Median COIN values near FCI recognition time were compared to median COIN values from randomly selected control EEG batches using logistic regression. A receiver operator characteristic curve was used to identify multilevel FCI test ranges. Likelihood ratios were calculated to estimate the posttest FCI probability for each COIN range. RESULTS During the 8-year study period (2015-2023), 33 of 142 ECMO runs met study criteria for COIN analysis. Twelve patients (36%) had FCI. The COIN cutoff of -13.3 had 92% sensitivity and 67% specificity for FCI. The COIN cutoff of -27.7 had 67% sensitivity and 90% specificity. Likelihood ratios were 0.13 for COIN (0 to -13.3), 1.1 for COIN (-13.3 to -27.7), and 7.0 for COIN (< -27.7). Posttest probability was 0.02, 0.13, 0.49 in each respective range. CONCLUSION FCI on ECMO is associated with COIN-measured EEG asymmetry. COIN may support FCI risk-stratification during ECMO.

Objectives To evaluate the positive and adverse effects of parent-mediated interventions (PMIs) versus care as usual for children with autism. Setting Systematic review and meta-analysis and Trial Sequential Analyses (TSA), following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Methods We searched for randomised clinical trials of PMIs for children with autism in the databases CENTRAL, EMBASE, LILACS, PsycINFO, MEDLINE, and SCI-EXPANDED (up to 13 August, 2025), complemented with manual searches. 12,359 articles were screened. Data were synthesised using meta-analyses and Trial Sequential Analyses (TSA), and risks of bias and certainty of the evidence were evaluated. Primary and secondary outcome measures The primary outcome was autism characteristics. Secondary outcomes were adverse effects, child adaptive functioning, child language, child and parent quality of life, and parental stress. Ten exploratory outcomes were included. Results 32 trials (N=1,625) comparing PMIs to usual care, waiting list, or no intervention were included. All trials had a high risk of bias. The multiplicity-adjusted threshold for statistical significance was p = 0.013 due to the number of outcomes. Meta-analyses and TSAs showed it could be rejected that PMIs reduced autism characteristics (MD = -0.88; 95% confidence interval -2.92 to 1.15; p = 0.05, 4 trials, N=353, low certainty), child adaptive functioning (7 trials, N=408), child language (4 trials, N=308), or parental stress (7 trials, N=385). Due to insufficient data, the remaining secondary meta-analyses could not be conducted. Meta-analyses of exploratory outcomes showed beneficial effects concerning child behaviour problems and parent sensitivity/synchronicity. Conclusions This meta-analysis found no benefits of PMIs on child autism characteristics, child adaptive functioning, child language, or parental stress. Benefits were found in reduction of child behaviour problems and improved parent sensitivity/synchronicity. The evidence remains uncertain, and more trials including outcomes of adverse effects and quality of life are needed.

Background Vitamin D may influence bone healing and recovery after spine surgery, but its clinical effects remain uncertain. Objective To evaluate clinical, functional, and bone-related outcomes associated with vitamin D status and supplementation in patients undergoing spine surgery. Methods This systematic review and meta-analysis was registered in PROSPERO (CRD420261467482) and reported according to PRISMA 2020. PubMed/MEDLINE, Scopus, Web of Science, Embase, and the Cochrane Library were searched from inception through 1 June 2026. Random-effects meta-analyses used mean differences (MDs) for continuous outcomes and risk ratios (RRs) for dichotomous outcomes. Direct supplementation analyses were prioritized, while analyses combining supplementation, baseline vitamin D status, or co-interventions were considered exploratory. Risk of bias was assessed using design-specific Joanna Briggs Institute tools. Results Thirteen studies were included. Four supplementation studies involving 177 participants showed no significant reduction in postoperative pain (MD -0.82, 95% CI -2.50 to 0.86; I2 = 84.3%). Three studies involving 277 participants showed lower Oswestry Disability Index scores in an exploratory analysis (MD -6.40, 95% CI -10.41 to -2.39; I2 = 96.8%). Three supplementation studies involving 128 participants showed no significant improvement in fusion rate (RR 1.17, 95% CI 0.78 to 1.74; I2 = 31.5%). An exploratory four-study fusion analysis was also not statistically significant (RR 1.24, 95% CI 0.98 to 1.57; I2 = 45.5%). Conclusion Current evidence does not establish that vitamin D supplementation independently improves postoperative pain or fusion rates after spine surgery. Possible benefits for disability and other bone-related outcomes remain uncertain because of small study numbers, heterogeneity, co-interventions, and residual confounding. Larger randomized trials stratified by baseline vitamin D status are needed.

Background and Purpose-Aneurysmal subarachnoid hemorrhage (aSAH) remains a devastating cerebrovascular event, with delayed cerebral ischemia (DCI) representing its most feared complication. High-altitude environments induce profound cerebrovascular adaptations, yet no study has systematically examined aSAH outcomes in chronically hypoxic populations. We characterized clinical features and identified DCI predictors among aSAH patients on the Tibetan Plateau. Methods-This single-center retrospective cohort included 256 consecutive aSAH patients admitted at a tertiary neurosurgical center in Tibet (altitude 2,330-4,920 m) between 2013 and 2015. The primary outcome was DCI per consensus criteria. Multivariable logistic regression identified independent predictors; receiver operating characteristic analysis evaluated model performance. Altitude and hemoglobin were specifically evaluated as altitude-related risk factors. Results-DCI occurred in 26 patients (10.2%). In-hospital mortality was 1.6%. Most patients presented with good-grade aSAH (Hunt-Hess I-II, 73.0%; Fisher I-II, 73.1%). On multivariable analysis, only Fisher grade independently predicted DCI (odds ratio, 3.63 [95% CI, 1.14-11.52]; P=0.029). Neither altitude (P=0.697) nor hemoglobin concentration (P=0.858) was associated with DCI risk. The predictive model achieved an area under the curve of 0.812. At 1-year follow-up, 77.8% achieved favorable functional outcomes (modified Rankin Scale 0-2). Conclusions-Fisher grade is the sole independent predictor of DCI in high-altitude aSAH patients, while chronic hypoxia and compensatory hemoglobin elevation do not significantly modify DCI risk. Established sea-level prognostic frameworks remain valid in high-altitude settings, supporting their continued use for clinical risk stratification. Keywords: aneurysmal subarachnoid hemorrhage; high altitude; delayed cerebral ischemia; Fisher grade; Tibetan Plateau; prognosis

Early-life adversity durably alters neural development through complex mother-offspring interactions whose underlying mechanisms remain poorly understood. We investigated how neonatal maternal separation (NMS) affects the large repertoire of maternal behaviors and subsequently influences spinal nociceptive circuit development and pain responses in rat offspring. Rat dams underwent NMS from postnatal day 2 (P2) to P12, 3h/day, and maternal behaviors were assessed before and after the separation period. These behaviors were compared to those of control (non-separated) dams. Offspring spinal cord and dorsal root ganglia were analyzed at P14 and P24 for several neurotrophic, glutamatergic, and GABAergic gene expression patterns. Offspring nociceptive sensitivity was also assessed at P24. NMS induced increased maternal behaviors (including longer arched-back nursing, higher nest occupancy, and better pup retrieval efficiency), alongside reduced self-care behaviors. These behavioral adaptations were correlated with spinal gene reprogramming in offspring, characterized by a biphasic developmental pattern. At P14, we observed elevated neurotrophic signaling alongside increased GABAergic and glutamatergic markers. By P24, neurotrophic factors decreased while compensatory changes emerged, yet persistent excitatory-inhibitory imbalances remained evident. Parallel to these results, NMS rats also showed mechanical and thermal hot hypersensitivity at P24. These findings reveal that despite apparent maternal behavioral compensation following NMS, offspring exhibit neurotrophic-driven developmental dysregulation resulting in persistent spinal circuit alterations. The disconnect between maternal behavioral normalization and sustained molecular changes suggests that early separation stress triggers enduring neurobiological cascades independent of ongoing maternal care quantity, with long-term consequences for sensory processing and pain sensitivity.

PurposeDiscussions surrounding the biomedical faculty job market often focus on applicant competitiveness and external metrics such as number of publications and funding records. Consequently, there is typically less discussion about applicant readiness, the point at which applicants perceive themselves as prepared to enter the market. Since 2018 our group, the Faculty Job Market Collaboration (FJMC), has conducted annual end-of-cycle surveys of biomedical faculty job applicants, producing the largest longitudinal dataset on this process to date. MethodsWe employed a mixed-methods design examining faculty applicants in biological science fields in North America. Regression analyses were conducted on a longitudinal dataset of 729 respondents across multiple hiring cycles. To determine how applicants evaluated their own preparation, qualitative interviews were conducted with a separate cohort of biomedical postdoctoral applicants during the 2024-2026 job cycles. ResultsOur findings demonstrate that rather than depending on a single quantitative threshold, readiness is a multifaceted construct shaped by actionable and interpersonal drivers. Key factors influencing an applicants perceived readiness include taking agency to submit applications, receiving explicit support from a mentor, incorporating strategic use of artificial intelligence tools into application preparation, and their career stage. ConclusionBy distinguishing individual readiness from systemic assumptions of market competitiveness, this study highlights a blind spot in academic workforce development. Our results suggest that applicants can achieve readiness and successful outcomes through different combinations of support, strategy, and timing rather than a uniform metric profile. By integrating quantitative and qualitative data, our study provides an evidence-based framework for understanding applicant readiness and offers practical guidance to help trainees navigate the increasingly competitive academic job market. Teaser TextOur mixed-model analysis of the biomedical faculty job market is designed to help prospective faculty candidates assess their readiness to enter the job market. By integrating multiple indicators of academic productivity, funding success, and professional experience, our study provides evidence-based benchmarks that can guide applicants in evaluating their competitiveness and identifying areas for further development before pursuing faculty positions.

Background: Unruptured intracranial aneurysms (UIAs) are increasingly identified incidentally, and management balances rupture risk against treatment risk. UIA diagnosis has been linked to psychological distress, but psychotropic medication initiation after UIA discovery has not been compared across the full UIA management spectrum. Methods: We conducted a retrospective cohort study using IBM MarketScan claims (CCAE, MDCD, and MDCR; 2009-2023) among adults with a UIA diagnosis, continuous enrollment for 365 days before and after the index date, and no SAH/rupture on or before the index date. We compared the prevalence of 6 mental-health diagnoses before versus after UIA discovery and used adjusted logistic regression to examine psychotropic medication initiation within 365 days by management strategy (untreated observation as the reference). Results: Among 54,945 patients (untreated, 78.5%; endovascular, 11.3%; clipping, 3.0%; other/uncertain, 7.2%), prevalence of every mental-health diagnosis was higher after UIA discovery, most for depression (+4.6 percentage points) and anxiety (+4.5 points). Medication initiation was most common for benzodiazepines (8.7%). Endovascular treatment was associated with higher adjusted odds of benzodiazepine (aOR, 1.21), SSRI (aOR, 1.20), and sedative-hypnotic (aOR, 1.25) initiation.Surgical clipping demonstrated the broadest association, with higher odds across 5 of 6 classes, including benzodiazepines (aOR, 1.71) and sedative-hypnotics (aOR, 1.86). Benzodiazepines had the lowest 1-year persistence (10.5%) despite being the most commonly initiated class. Findings were consistent across sensitivity analyses, with the exception of the increase in panic disorder, which was no longer observed after applying a 30-day post-index lag. Conclusions: Mental-health diagnoses and psychotropic medication initiation increased after UIA discovery, and medication initiation was most pronounced among patients treated with surgical clipping. These findings support psychological assessment as part of aneurysm management regardless of strategy.

Objectives To explore the acceptability and tolerability of cranial electrotherapy stimulation (CES) using Alpha-Stim AID as a potential intervention for anxiety associated with breathlessness in people with advanced chronic respiratory disease. Methods A multicentre, mixed-methods, non-randomised interventional feasibility study with a parallel usual-care control group. Participants were adults with chronic respiratory disease and significant anxiety and breathlessness symptoms (assessed via Integrated Palliative Outcome Scale) receiving care from hospice services. The intervention groups used Alpha-Stim AID for eight weeks either at a fixed or personalised dose, followed by a four-week follow-up period. This feasibility study was not powered to assess clinical efficacy. Results 12.5% of screened patients at the primary site were eligible, and 29 unique participants were recruited. Three participants withdrew from the study (10.3%), none of which were attributable to CES. Most adverse events were mild, with headache reported frequently across control and intervention groups. Outcome measure completion was high, with data missingness below 6.4%. Numerical rating scales of anxiety and breathlessness fluctuated daily and remained broadly static, whereas GAD-7 scores assessing anxiety improved over time across all groups. This feasibility study was not powered to assess clinical efficacy. Conclusion CES using Alpha-Stim AID was deliverable within hospice services and was generally acceptable and tolerable among participants who enrolled. Our findings support further evaluation which should involve a fully-powered randomised controlled trial against a sham device to determine whether CES provides clinically meaningful improvements in anxiety for this patient population.

Transient beta events (TBE) during electroencephalography (EEG) reflect thalamocortical activity, bridging genotype to phenotype and impacting sensory responsivity. Compared to typically developing controls, we found elevated TBE rate in some children with idiopathic Autism Spectrum Disorder (ASD) and a majority of children with Phelan-McDermid Syndrome, Rett Syndrome, and SYNGAP1-related disorder. TBE rate thus offers promise as a stratification biomarker with divergent and convergent properties across ASD and neurogenetic conditions, respectively.

Introduction Post stroke dysphagia is common, associated with poor functional outcome and lacks treatment strategies beyond behaviour therapies delivered by speech & language therapists. Here, we present the statistical analysis plan for the ongoing pharyngeal electrical stimulation for acute stroke dysphagia trial (PhEAST). PES is a candidate treatment for dysphagia present in non-ventilated stroke patients. Methods PhEAST is an investigator-initiated international prospective randomised open-label blinded-endpoint phase-4 superiority trial involving 650 participants with tube-dependent post-stroke dysphagia. Consenting patients are randomised to PES versus no PES given on top of standard care with PES given daily for 6 days. The primary outcome is the dysphagia severity rating scale (DSRS), a measure of swallowing impairment, made at days 14 and 90 and analysed using repeated measures regression. Conclusion We present the statistical analysis plan for the main analyses based on data up to day 90 along with planned secondary analyses including presentation of baseline data, health economics, cognition and extended follow-up to 12 months.

Investigating the neural mechanisms of social group interactions and other naturalistic behaviors in small animals remains limited by current technology. Tethered neural recording systems are incompatible with many of these behaviors, while existing wireless devices for small animals are constrained by weight, bandwidth, recording duration, and the lack of closed-loop modulation capabilities. To overcome these limitations, we developed a Wireless, Interactive, Lightweight Datalogger (WILD) with integrated flexible neural probes, optogenetics, an inertial measurement unit, an ultrasonic microphone, and a head-mounted camera. This platform enables simultaneous, long-term recording of neural activity, locomotor variables, vocalizations, and eye movements from groups of freely moving mice in both laboratory and outdoor settings. Model-based real-time signal processing detects specific neural events and behavioral motifs to trigger closed-loop neural interventions. By combining multimodal recordings with advanced onboard signal-processing capabilities in a compact device, WILD enables the investigation of neural mechanisms underlying a broad range of natural behaviors in small animals.

Background/Objectives: Traumatic Brain Injuries (TBIs) affect more than 50 million individuals worldwide each year. Approximately 90% of individuals survive and experience persistent motor, cognitive, and emotional deficits, substantially contributing to a reduced quality of life and a global economic burden. TBI mechanisms are a foundational determinant of long-term recovery. The objective of this study was to examine long-term trends in functional locomotion ability over extended follow-up durations (>10 years) across distinct TBI mechanisms. The researchers hypothesized that TBIs caused by falls or violent mechanisms would be associated with poorer functional locomotor abilities and, subsequently, lower item scores than those sustained through automotive or recreational activities. Methods: Data were obtained from the Traumatic Brain Injury Model Systems (TBIMS) database at Craig Hospital in Englewood, Colorado, the largest longitudinal TBI data repository in the world. Functional locomotion was assessed using the Functional Independence Measure (FIM) Locomotion item as the primary outcome measure. To enhance measurement precision and ensure interval-level scaling, raw FIM scores were converted into logit-based estimates of latent functional ability using Rasch modeling. Longitudinal changes of these Rasch-transformed scores were analyzed using linear mixed-effects regression, accounting for individual-level variability and unbalanced follow-up data. Results: The findings demonstrated a clinically meaningful decline in functional ability among individuals with TBIs from violent mechanisms, particularly assault-related injuries and gunshot wounds, which were associated with chronic medical complications and limited functional independence. Conversely, TBIs from bicycling, unclassified vehicular incidents, and winter sports showed significant positive estimates, possibly reflecting higher premorbid physical fitness. Motor vehicle, motorcycle, pedestrian, and fall-related TBIs demonstrated steep early gains, followed by a period of recovery stabilization and plateau. In contrast, violence-related mechanisms were characterized by consistently low median scores, with minimal long-term improvement. Falls, gymnastics, track & field, and water sports did not exhibit meaningful changes in the context of the primary hypothesis. Conclusions: TBI mechanisms play a vital role in shaping long-term functional locomotion outcomes, with violence-related TBIs associated with poorer long-term functional independence. The results have clinically important implications, supporting earlier identification of high-risk populations and the development of targeted rehabilitation strategies during periods of heightened neuroplasticity. Rasch analysis integrated with linear mixed-effects modeling yields a robust analytic framework that uncovers subtle but meaningful differences in recovery trajectories across TBI mechanisms.

Songbirds, in particular zebra finches (Taeniopygia guttata), provide a powerful model for investigating the neural mechanisms of learned vocal behavior. Researchers typically rely on the acoustic structure of birdsong to quantify vocal behavior. As a more direct measure of motor control, we present VIBE: Vocal acoustic Inversion to Biomechanical Estimates, an open-source pipeline that recovers the biomechanical control parameters of song production directly from the acoustic waveform. Biomechanical models of the songbird syrinx describe vocal production with two continuously varying parameters: and {beta}, representing subsyringeal air sac pressure and syringeal muscle tension, respectively. Recovering these parameters from song acoustics provides a motor-based coordinate system against which neural activity or other dependent variables can be directly compared. Because and {beta} are the coupled control parameters of a nonlinear oscillator, their joint recovery is non-trivial. VIBE addresses this through iterative optimization of the governing normal-form equations. We validate VIBE against recorded air sac pressure across 44 songs from twelve birds, showing that the recovered corresponds to empirically measured air sac pressure. Pairing VIBE with Neuropixels recordings from RA in five birds, we find that RA activity is well predicted by the recovered parameters, and that and {beta} add predictive power beyond the acoustic features of song. By recovering biomechanical control parameters from the acoustic signal, VIBE makes the biomechanical coordinate system of song production accessible to the broader songbird research community. New & NoteworthyVIBE provides a novel, fully automated pipeline to recover the biomechanical control parameters of the avian vocal organ, and {beta}, as continuously varying quantities from the raw acoustic waveform, making the full biomechanical model of song production accessible at the scale of modern datasets.

Introduction: Functional Neurological Disorder (FND) affects women approximately three times more often than men. This disparity has largely been attributed to higher trauma prevalence and diagnostic bias, while the potential contribution of hormonal influences has received little attention. Methods: An online questionnaire was distributed through FND clinics in thirteen countries, assessing self-reported symptom change across five hormonal events: hormonal contraception, pregnancy, the menstrual cycle, menopause, and gender-affirming hormone therapy. Eligible participants were cisgender women with a diagnosis of FND, or gender minority individuals (transgender or non-binary). Perceived symptom change was rated on a five-point scale ranging from large improvement to large worsening. Results: Among 262 respondents (96% female; mean age 39 years), several hormonal contexts were associated with self-reported symptom changes. Overall, hormonal contraception and pregnancy were frequently associated with worsening of motor and cognitive symptoms, and menopause with worsening across all symptom domains. Menstrual cycle analysis revealed a phase-dependent pattern: worsening was most frequently reported during menstruation and the luteal phase, whereas improvement was most frequent during the follicular phase. Reported changes were not uniform, with a substantial proportion of participants describing no change or improvement. Conclusion: Self-reported FND symptom severity appears to vary with hormonal context, with motor and cognitive symptoms most consistently affected. Given the retrospective, self-report design, these findings are hypothesis-generating and support prospective research into the role of hormonal transitions in FND.

The neural system at the periphery is a frontline for embodied cognition, yet an acute, mild perturbation to dissect functional causality is hard to achieve. Peripheral neural processes and the central nervous system may work in concert to generate sophisticated representations regarding self and environments in the brain. This hypothesis, together with the underlying mechanisms, is particularly difficult to test for certain sensory inputs due to the lack of reversible manipulation techniques. Long postulated as a component for path integration, proprioception is one of such modalities. In this study, we developed a murine experimental system to manipulate proprioceptive inputs during memory-dependent localization task (which required precise operant-conditioned licks) in spatial virtual reality (VR). Through bioluminescent optogenetics (luminopsin) selectively expressed in the parvalbumin-positive neurons of the dorsal root ganglia in mice, proprioceptive processing was compromised directly from the periphery to bypass the bottleneck of specific central targeting, which results from the lack of anatomically or genetically dedicated proprioceptive circuits in the brain. In-vivo IVIS imaging and behavior suggested the effects of luminopsin last for roughly 20 minutes. While mice exhibited normal performance in tasks relying on gross motor skills, they showed subtle deficits in challenging spatial tasks that required integration of past movements. These observations support a task-specific role for proprioception, and demonstrate a potential of chemogenetics-like, rapidly reversible strategies for characterizing peripherally defined sensory contribution to spatial cognition. Future work will optimize this approach; for instance, to activate opsins by light with millisecond precision. To our knowledge, this is a first causal demonstration for acute participation of proprioception in path-integration biomechanics, enabling the first temporally defined method for mild perturbation of path-integration mechanisms.

Artificial intelligence (AI) development is concentrated within private firms, yet their participation in scientific publishing remains poorly understood. We conducted a bibliometric analysis of all 317 AI unicorn startups (1998-2025). Only 1,389 eligible peer-reviewed publications and 688 preprints involving some leading startup contributions were identified. More than half of startups (52.4%) produced no qualifying scientific output, and only 24 firms (7.6%) produced any highly cited papers ([&ge;]200 citations). Scientific influence was highly concentrated: the top 10% of firms accounted for 96.8% of citations, while three startups accounted for 92 of 134 firm-attributed highly cited papers. Firm valuation was not associated with publication productivity or highly cited output, whereas funding raised showed weak associations. Overall, participation in formal scientific communication among AI unicorn startups is negligible, comprising only 0.1% of the overall AI literature in 2025. Most leading developers of AI technology do not engage with the scientific literature, raising concerns for the transparency, reproducibility, and accountability of this rapidly moving innovation frontier.

BackgroundConventional rodent models for the study of corneal pain commonly evoke eye blink reflex using methods that indiscriminately activate polymodal nociceptors, mechanoreceptors, and thermoreceptors at temporal resolutions that dont closely match the sub-second timescale of underlying neural dynamics. New methodWe introduce a novel automated behavioral paradigm for detecting blink reflexes in transgenic TRPV1-ChR2-EYFP mice, enabled by cell-type-specific, millisecond-precision optogenetic stimulation of corneal nociceptors (490 nm light). Using multi-feature quantification, we achieve robust automated detection using univariate and multivariate classifiers. ResultsTRPV1-ChR2-EYFP mice exhibited blink reflexes to high-intensity blue light (490 nm, 10 ms pulses) in a threshold-dependent manner (N=3). Blink probability was 77.1 {+/-} 17.1% at high intensity (2.77 mW/mm2) versus 4.2 {+/-} 4.2% at low intensity (0.46 mW/mm2). Red light (638 nm) produced no intensity-dependent change. Noxious air puff evoked blinks in >95% of trials under all conditions. DeepLabCut-based pose estimation extracted six features quantifying the blink reflex, enabling automated detection with [&ge;]98% accuracy using univariate and multivariate classifiers. Comparison with existing methodsUnlike conventional air puff paradigms, this optogenetic approach enables precise, cell-type-specific stimulation of corneal nociceptors, supporting automated analysis of blink responses at sub-second resolution. ConclusionsThis video tracking behavioral method using machine learning algorithms that accurately classify blink versus no-blink enables high-throughput and observer-independent empirical assessment of blink reflex, suggestive of corneal pain. Moreover, inducing blink reflex in TRPV1-ChR2 mice using high-intensity blue light also demonstrates nociceptive-specific behavioral responses analogous to somatosensory optogenetically-evoked hindpaw pain in the same animal genotype.

The cerebellar nuclei (CN) has demonstrated its influence on cognitive behavior via the cerebello-cortico circuit, yet the role of CN critical period mechanisms and how they may influence cognitive behavior, such as parvalbumin (PV) expressing interneurons enwrapped by perineuronal nets (PNNs), is still unclear. Therefore, we investigated the role of the lateral CN (LCN) PV cell calcium activity while animals performed a visual discrimination touchscreen cognitive task. All animals received the PV cell calcium indicator GCaMP6f at postnatal day 21 (P21). We targeted the LCN critical period by manipulating neural activity in male mice using the inhibitory Designer Receptors Exclusively Activated by Designer Drugs (DREADDs) from postnatal day 21 to 35 or by injecting an Hapln1-AAV vector to selectively target LCN PNN development. After animals completed the visual discrimination task, cerebellar tissue was collected for viral recovery and antibody staining for PNN components, Hapln1 and aggrecan. Results revealed DREADD animals showed improved reversal learning, an increase in calcium response to learning-related activity and altered PNN expression (Hapln1 and aggrecan). Hapln1 treated animals displayed a decrease in final day acquisition performance, lower reversal performance compared to DREADD groups, a decrease in reversal calcium learning-related activity, and an increase in PNN expression (Hapln1). Together, these data provide further evidence of LCN mechanisms associated with learning as well as the importance of understanding region-specific critical periods of plasticity.

Behaviors and thoughts are driven by a multitude of nested neuronal circuitry loops. They cause complex brain activity dynamics that remain poorly understood. We show that closed-loop neuronal network operation results in an activity state space that can be best understood as a vector field with an attractor point, which controls the activity dynamics across the neuronal population. We show that brain activity in vivo, however, indicates the attractor point is continually moving along a trajectory, which requires the presence of dynamic sensory input or independent activity generation within neurons. Using a spinal network model receiving sensory feedback from a dynamical biomechanical system, we show how these two independent dynamical systems mutually drive each others activity trajectories to generate behavior. Similarly, independent self-generated activity within each thalamic neuron, in closed loop with cortical subpopulations, results in a multitude of dynamical subnetworks that shape each others activity trajectories to control cortical populations. Although the attractor trajectories reflect emergent stability, we show them to be susceptible to criticality effects where minor changes in synaptic inputs can cause the attractor trajectory to switch to cause alternative behaviors. This renders the mutual perturbations between neural and biomechanical dynamics, and between subnetworks within the CNS, an effective operational mode to achieve behavioral flexibility and to simplify learning of apparently complex behaviors. We illustrate how this mode of operation necessitates anticipatory control, thoughts, by the cortex and discuss how it can encompass also the other CNS structures involved in somatic sensorimotor control.