Biology and Life Sciences

Abstract: Background: Several recent proposals suggest that myelinated axons may conduct neural signals through a parallel optical or electromagnetic channel — via biophoton emission, cavity-enhanced generation, node-enriched gain chemistry, neuro-antennae, displacement currents, or opsin-based phototransduction — in addition to classical saltatory conduction. Methods: We constructed six independent computational falsification modules, each using measured material constants and deliberately generous upper-bound assumptions: (1) a photon-budget analysis; (2) a full-wave optical transmission sweep through the myelin wall (400 nm–10 um); (3) a Purcell-factor estimate for the myelin cavity; (4) a fluorophore-gain audit of all known neural chromophores; (5) a neuro-antenna radiation and displacement-current decomposition; and (6) an opsin audit across all endogenous photopigments; and (7) a decoherence audit of every quantum claim (thermal occupation, cavity coherence time, vibrational T2 vs emission lifetime). We further quantified the detectability of a hypothetical parallel channel via a stochastic jitter experiment (20,000 trials) and mapped the ephaptic-coupling regime with a two-axon dose-response simulation. Finally, we designed and power-analysed a dual-channel (biophoton-count and gamma-coherence) music-intervention study with head-to-head piece contrasts. Results: All eight constraints falsify an efficient parallel channel: mid-infrared transmission through the myelin wall is approximately 4 x 10^-97 per internode at the C-H stretch band; the Purcell factor is approximately 1.3 x 10^-6 (suppression, not enhancement); every neural fluorophore is a net absorber or at least 2.4 orders of magnitude short of required gain; neuro-antenna radiation is approximately 40 orders of magnitude below the required energy; and no endogenous opsin combines the required presence, kinetics and photon flux; and the thermal emitters' coherence time (approx 1 ps) collapses to essentially zero first-order coherence over any useable path, while lamellar path-length roughness accumulates pi-rad RMS phase error within a fraction of one internode — chaotic, mutually incoherent light carries no phase-locked information. The decoherence audit shows the cavity coherence time (Q/omega, 1-3 fs at biological Q) is approximately 2,000 times shorter than the internode transit, and vibrational T2 (approximately 2 ps) is 10^9 times shorter than the emission lifetime, so any cascade pair is emitted by a fully dephased classical source: the quantum version of the hypothesis is falsified independently of the classical one. A 5% photon-channel contribution is electrically invisible (jitter test), and ephaptic coupling transitions sharply from sub-threshold timing nudges to merged circuits near kappa = 0.1 with no intermediate 'separate-and-fast' window. In the study design, the photon channel requires approximately 10 subjects for 80% power while gamma coherence requires > 60, and head-to-head piece contrasts (sacred vocal vs classical) require 55–113 subjects. Conclusions: Fast parallel signal conduction in myelinated axons is excluded computationally across every physical mechanism proposed to date. What survives — ephaptic synchrony, volume transmission, and externally powered photobiomodulation — are modulatory, not conduction, channels, and we provide a power-quantified design for their experimental study.

Abstract: Background: Open behavioral datasets can be used to ask new questions that were not the primary inferential targets of the source studies. We used two complementary datasets to examine two distinctions relevant to intuitive judgment: whether a self-reported hunch carries more task-relevant information than a self-reported guess, and whether subjective confidence should be treated as equivalent to objective performance or metacognitive efficiency. Methods: This theory-guided, non-preregistered secondary study returned to participant- and trial-level open data rather than relying on published summary statistics. Dataset A was Experiment 2 of Monaghan et al. (22 participants; 6,336 training trials). We recomputed within-participant accuracy for Intuition versus Guess and formally tested adjacent source-attribution contrasts using paired analyses and participant-clustered generalized estimating equations (GEE). Dataset B was the multi_intero dataset of Banellis et al. We directly compared cross-domain correlations in mean confidence with corresponding correlations in metacognitive efficiency (M-ratio) in identical participant sets and tested whether self-reported interoceptive awareness (MAIA) related differentially to cardiac confidence, accuracy, and M-ratio. The datasets were analyzed separately and were not pooled. Results: In Dataset A, Intuition-attributed decisions were more accurate than Guess-attributed decisions (mean difference = 0.146, 95% CI 0.086–0.205; t(21) = 5.12, p < 0.001; dz = 1.09); the adjusted trial-level association was OR = 1.56 (95% CI 1.25–1.96). Exploratory adjacent contrasts were also positive for Recollection versus Intuition and Rule knowledge versus Recollection. In Dataset B, cross-domain confidence correlations exceeded corresponding M-ratio correlations (delta r = 0.448–0.616; all Holm-adjusted p < 0.001). MAIA was associated with cardiac confidence (r = 0.262) but not cardiac accuracy (r = 0.019) or cleaned cardiac M-ratio (r = −0.001), and the correlation differences were significant. Conclusions: These analyses do not validate a unified construct or mechanism of intuition. They provide complementary constraints on its measurement: a reported hunch was not equivalent to a guess in Dataset A, while confidence was not equivalent to objective performance or metacognitive efficiency in Dataset B. Because intuition, confidence, performance, and metacognitive efficiency were not measured jointly in the same task, stronger claims about their within-person architecture require prospective within-task testing.

Abstract: How subjective time arises from experience remains unresolved. We propose TpMT, a measure-theoretic framework grounded in minimal axioms for streams of conscious states. Like the rationals—dense yet of zero measure—countable streams of zero-measure experiences have no duration. Nonzero subjective time requires an uncountable experiential stream with at least countably infinite recurrence of experiential structures. Distinct experiences may densely coexist within the same interval, linking phenomenal multiplicity to the real continuum. TpMT thereby formalizes a necessary structural condition for awareness and provides a criterion for identifying systems that fail to meet it. The theory also yields a structural idempotence law. An exploratory analysis of sleep electroencephalography illustrates its potential for estimating perceived duration.

Abstract: Biophysically detailed neuron models are essential, but they are usually built from a single best-fit parameter set, obscuring a fundamental problem. Much of the model is set by the modeler's choices, not by the data, and many different parameter sets fit the data equally well. Thus, a single best-fit model represents only one point in a much larger space of models the data allow. For claims about robustness, transferability across cell types or species, natural variability, or prediction, we argue that a family of models is needed, one that openly carries its uncertainty. We review recent advances that may make this practical: a clearer understanding of parameter degeneracy; new single-cell methods that measure a neuron's activity, shape, and gene expression together; and new tools that estimate uncertainty, identify the parameters that matter, and accelerate fitting. Finally, we propose sharing reusable model components, qualified reference components, that come with their uncertainty, tested limits, and origin, so that larger brain models can stay trustworthy.

Abstract: Background: Autism spectrum disorder (ASD) is a neurodevelopmental condition with substantial genetic contributions but incompletely understood biological mechanisms. Family history of autoimmune disease is associated with elevated ASD likelihood (pooled OR 1.28), while maternal immune-mediated conditions show additional associations, suggesting that inherited immune susceptibility and the gestational inflammatory environment may contribute to risk. A mechanism linking these observations to the characteristic developmental trajectory of ASD remains unresolved.Hypothesis: I propose an immune-metabolic framework in which multiple pro-inflammatory cytokines—including TNF-α, IL-6, IL-1β, and IFN-γ—act through distinct molecular pathways yet converge on mitochondrial dysfunction and an ATP supply that cannot meet the developing brain's energy needs. Within this framework, cumulative prenatal inflammatory burden, rather than any single cytokine, drives the energy deficit. Potential contributors include inherited immune susceptibility and fetal exposure to maternal inflammatory signaling arising from a clinically silent but biologically consequential chronic low-grade state. The resulting energy constraint may disrupt synaptic refinement, real-time social processing, synaptic protein synthesis, and flexible predictive inference—the last offering a bioenergetic interpretation of restricted repetitive behaviors and insistence on sameness as compensation for chronic energy limitation. Crucially, the mitochondrial dysfunction is proposed to persist beyond birth, with the gap between cerebral energy demand and supply widening during the rapid brain growth of the first postnatal years. This trajectory may help explain the emergence of clinical symptoms between 12 and 24 months of age, the selective vulnerability of metabolically demanding brain regions, and the regressive pattern seen in a substantial subset of children. The framework further proposes that the reported firstborn association may partly reflect incomplete maternal immune adaptation during first pregnancies.Implications: By uniting prenatal initiation with postnatal persistence into a single developmental trajectory, this framework offers an integrative account of otherwise disparate observations. It also yields directly testable predictions—prospective measurement of maternal cytokine and infant mitochondrial trajectories, registry analysis of partner change and birth order, and cerebral energy metabolism in relation to insistence-on-sameness severity—that could distinguish the proposed mechanism from competing explanations.

Abstract: Background/Objectives: Migraine is three times more common in women and worsens during perimenopause, a phase in which estrogen fluctuations are accompanied by deterioration in body composition — increased fat mass (FM) and reduced fat-free mass (FFM) — amplifying systemic inflammation. Despite this biological link, body composition is not systematically assessed in perimenopausal migraine management. This pre-specified exploratory analysis of the MEDEA study evaluates whether body composition, measured by bioelectrical impedance analysis (BIA), is associated with migraine disability in perimenopausal women, and secondarily describes changes in body composition during an anti-inflammatory nutritional intervention with prebiotics and probiotics. Methods: Single-arm, single-center, prospective interventional study (MEDEA study, Neurological Clinic ASUFC, Udine); the present work is a pre-specified exploratory secondary analysis. Seventeen women (mean age 52 ± 2.6 years) with episodic or chronic migraine, intestinal dysbiosis, and perimenopausal status (STRAW classification) were assessed with Akern BIA at baseline (T0), 3 months (T3), and 6 months (T6). Changes over time were analyzed with the Wilcoxon signed-rank test; correlations with migraine disability with Spearman's rho. Results: Over the intervention period, FM decreased selectively (median −1.60 kg at T3, p = 0.001; median −3.00 kg at T6, p < 0.001), with FFM remaining broadly stable. At baseline, higher FFM correlated with lower migraine disability (MIDAS: rho = −0.667, p = 0.009, n = 14). Longitudinal Δ-Δ associations (ECW, phase angle) are reported as exploratory. Conclusions: These exploratory findings suggest that fat-free mass is associated with migraine disability in perimenopause and warrant confirmation, with multivariable adjustment, in the complete sample (n = 54).

Abstract: Background/Objectives: T Lymphocyte-Secreted Protein I-309, also known as CC-motif Chemokine Ligand 1 (CCL-1), is a small glycoprotein produced by immune cells in response to infection or tissue injury. Increased circulating levels of CCL-1 have been reported in individuals with mild cognitive impairment and Alzheimer's disease (AD), suggesting a potential role in neuroinflammatory processes. However, the effects of CCL-1 on brain physiology remain poorly understood. Methods: Adeno-associated virus (AAV) vectors overexpressing CCL-1 or vector control were injected into the stratum radiatum (CA1) of 250 g Sprague- Dawley rats. Three weeks after inoculation, animals were euthanized or subjected to behavioral testing. BrdU was administered in a subset to label dividing cells. Hippocampal cell populations were assessed by immunohistochemistry using Iba-1, NeuN, GFAP and BrdU antibodies. Locomotion, learning and memory were evaluated using open field, novel object recognition and contextual fear conditioning. Results: CCL-1 overexpression resulted in a significant reduction in microglial population in stratum radiatum, and a significant increase in BrdU+ maturing neurons in the dentate. Neuronal and astrocyte populations and behavioral assays were not significantly affected by CCL-1 overexpression. Conclusions: These findings suggest that CCL-1 overexpression modulates hippocampal cellular composition, potentially exerting anti-inflammatory and neuroprotective effects without measurable changes in cognitive performance of learning and memory. This chemokine may therefore represent a potential mediator of neuroimmune interactions relevant to neurodegenerative processes.

Abstract: Launched in 2010 by the National Institutes of Health, the Human Connectome Project (HCP) represents a foundational initiative in systems neuroscience, designed to map the structural and functional architecture of the human brain. Despite its extensive impact, the expanding body of HCP-related research remains methodologically and thematically dispersed. To systematically assess this landscape, we conducted an AI-assisted, intensive review and systematic synthesis of 102 peer-reviewed publications that explicitly referenced the HCP. Using a hybrid computational-human analytic framework integrating natural language processing and manual validation, studies were categorized into six domains: cognition and learning, aging and development, mental health, neurological disorders, movement and motor skills, and behavior and personality. Quantitative and qualitative analyses revealed three dominant trends: (1) inter-individual connectivity patterns exhibit high stability, supporting their utility as neural fingerprints; (2) higher-order association networks undergo postnatal maturation and exhibit age-related decline, confirming lifespan-dependent reorganization; and (3) connectomic measures increasingly function as candidate biomarkers for neuropsychiatric and neurodegenerative disorders, including schizophrenia, Alzheimer's disease, and depression. Critical evaluation identified persistent methodological constraints, including limited spatial resolution in neuroimaging modalities, high attrition and cost in longitudinal paradigms, and data privacy risks associated with large-scale neuroinformatics. This synthesis demonstrates that while the HCP has substantially advanced mechanistic models of human brain organization, future progress will depend on integrating multimodal imaging with computational and AI-driven analytic frameworks. Our review shows that such advancements are essential to overcome current technical limitations and enable precision-level mapping of brain connectivity in health and disease.

Abstract: The future of developmental population neuroscience lies in transforming the brain’s life landscape into personalized, context‑sensitive, and actionable predictions.

Abstract: Light resets the mammalian circadian clock, but whether this response is determined solely by integrated light intensity (irradiance) or is also influenced by the spatial distribution of light remains unclear. We tested whether high-contrast or low-spatial-frequency patterns modulate circadian responses in mice independently of scene irradiance. Circadian phase shifts were measured following exposure to spatially patterned illumination, including high-contrast checkerboards and spot stimuli positioned at the horizon or zenith. Across all experiments, redistributing light within the visual field did not measurably alter phase-shift amplitude when irradiance was matched between paired conditions. Circadian responses were well predicted by total scene irradiance whereas a metric based on the region of highest radiance provided a poorer account of the data. These findings are consistent with effective spatial integration of light by the mouse circadian system. Within the range of spatial and irradiance conditions tested, our results support irradiance as a simple and effective metric for predicting circadian responses across light environments with divergent spatial distributions.

Abstract: Vascular contributions to cognitive impairment and dementia (VCID) have emerged as critical determinants of age-related cognitive decline, yet they remain insufficiently recognized in both clinical practice and research. This comprehensive review synthesizes current understanding of the pathophysiological mechanisms linking chronic cerebral hypoperfusion (CCH) to vascular dementia (VaD) and related cognitive disorders. We examine the epidemiology, classification, and clinical heterogeneity of vascular cognitive impairment, emphasizing the convergence of cerebrovascular pathology on common pathogenic cascades including neurovascular unit dysfunction, white matter degeneration, neuroinflammation, and blood-brain barrier disruption. Particular attention is directed toward the selective vulnerability of specific brain regions to chronic hypoperfusion, the molecular mechanisms driving persistent neuroinflammation, and the role of peripheral immune cell infiltration in disease progression. We critically evaluate experimental models of CCH and discuss emerging therapeutic strategies including ischemic preconditioning and remote ischemic conditioning. Finally, we highlight the importance of sex differences in disease susceptibility, progression, and therapeutic response, emphasizing the need for sex-specific approaches in future research and clinical management.

Abstract: Research related to medicine has been centered around testing and finding a cure for diseases. Model organisms such as mice and monkeys have been key to the drug discovery process but the use of these organisms is becoming difficult due to ethical concerns. Tardigrades are a species of invertebrate organisms that could be widely used in drug discovery as they have a complex nervous system for their size, possess a transparent exoskeleton which makes observing neural activity accessible, and there are currently no ethical constraints regarding their use. Analyzing the movement of model organisms in response to stimuli is a very common method in drug discovery, previously used with another invertebrate organism C. elegans. This paper aims to analyze the movement response of tardigrades to electric stimuli to map the neuromuscular response, which can be used as a standard to measure the neurological effect of drug testing. This study shows that tardigrades respond to low-voltage electric fields in a microfluidic environment without long-lasting side effects. The tardigrades were shown to have a neuromuscular response to electric fields, which can be used to test the effects of drug candidates on the organism. The tardigrades were attracted toward the negative electrode in electric field intensities of 3-8 V/cm with speeds ranging from 154.90-259.00 μm/s. The neuromuscular response seen in tardigrades towards the electric field can be used in drug discovery by tracking its response before and after the drug has been administered. The use of tardigrades in medical research can provide an alternative solution to the ethical dilemma faced with the use of vertebrate organisms.

Abstract: Traumatic exposure does not uniformly lead to persistent posttraumatic symptoms, indicating that vulnerability depends on more than event intensity or arousal magnitude alone. The Symbolic Objectification Hypothesis (SOH) proposes that traumatic persistence is shaped by the stability of a representational gate: whether threat can be held as a bounded, labelable, temporally situated object of awareness during activation. When symbolic objectification is maintained, executive continuity and contextual updating remain more available; when it fails, threat can shift into immersive action mode, increasing defensive capture and present-oriented reliving. SOH specifies a proximal representational condition that may determine when contextualization, appraisal updating, decentering, cognitive defusion, mentalization, and related regulatory processes remain available during threat activation. The manuscript defines symbolic objectification independently from executive continuity, identifies discontinuity-type and immersion-dominant forms of defensive capture, proposes operational markers and context-dependent capture thresholds, and states falsifiable predictions concerning intrusion quality, recovery, and treatment-related change.

Abstract: Flashbacks are intrusive, sensory-dominant episodes in which traumatic material returns with powerful presentness. The contextual-binding model distinguishes sensory-perceptual and affective registration from contextual-autobiographical binding, which organizes selected experience around time, place, sequence, and meaning. Under extreme threat, defensive mobilization can narrow attention and destabilize executive and hippocampal-contextual coordination, leaving vivid sensory-affective material relatively accessible while autobiographical placement remains weak. Later cues can reactivate both this material and the defensive state associated with it. Reactivation then bifurcates: when temporal placement, representational containment, and executive continuity remain available, the material can be organized more firmly as past; when renewed defensive capture disrupts those operations, sensory-affective material enters awareness with insufficient context and is experienced as present danger. Flashbacks are therefore conceptualized as failed integration attempts at the system level rather than as random memory intrusions. The model specifies measurable constructs, recursive state dynamics, and falsifiable predictions concerning presentness, temporal coding, recovery, recurrence, offline consolidation, and treatment-related change.

Abstract: This review summarizes the effects of heavy metals, including lead (Pb), mercury (Hg), and cadmium (Cd), on glial cells in experimental rat models. The analysis was based on scientific literature from the PubMed database, using keywords related to glial cells, heavy metals, and rats. The reviewed studies included peer-reviewed original research articles and review papers in English. The reviewed literature highlights the mechanisms underlying heavy metal-induced neurotoxicity and their effects on the central nervous system (CNS). Exposure to Pb, Hg, and Cd was shown to influence glial cell function by promoting oxidative stress, increasing reactive oxygen species production, enhancing inflammatory responses, and disrupting blood–brain barrier integrity. Heavy metals may also affect circadian regulation and alter melatonin distribution within the CNS. These changes contribute to morphological, physiological, and developmental alterations in glial cells. The findings indicate that glial cells represent a valuable model for investigating metal-induced cytotoxicity and neurotoxic mechanisms. Rat strains such as Sprague–Dawley and Wistar are widely used experimental models for studying CNS alterations throughout different stages of development. Understanding the molecular mechanisms of heavy metal toxicity is essential for developing effective strategies to prevent and mitigate the adverse effects of environmental pollutants on the nervous system.

Abstract: Sleep is essential for memory consolidation, immune homeostasis, and the maintenance of brain function. Emerging evidence indicates that these processes are closely linked to the gut microbiota through bidirectional neural, endocrine, metabolic, and immune pathways. This review integrates current knowledge on the complementary roles of slow-wave and rapid eye movement sleep in the stabilization, reorganization, and integration of memories, while examining how sleep disruption impairs cognition through neuroinflammation, altered synaptic plasticity, and disturbed hippocampal–neocortical communication. It also summarizes the major categories of sleep disorders and their potential effects on memory-related processes. Particular emphasis is placed on the microbiota–gut–brain axis as a mechanistic interface connecting sleep physiology with immune regulation and cognitive performance. Sleep loss and circadian disruption can increase intestinal permeability, promote microbial dysbiosis, facilitate systemic exposure to bacterial products, and activate inflammatory pathways that compromise hippocampal function. Conversely, microbiota-derived metabolites, including short-chain fatty acids and tryptophan-derived compounds, may influence sleep architecture, blood–brain barrier integrity, microglial activity, and neuroplasticity. Evidence from experimental models further suggests that microbiota alterations induced by sleep deprivation can contribute directly to memory deficits and that microbiota-targeted interventions may partially restore cognitive function. Collectively, these findings support an integrated sleep–microbiota–immunity framework in which disruption of any component can amplify dysfunction across the others, with important implications for understanding and treating cognitive impairment associated with sleep disorders.

Abstract: Microglia encounter combinations of soluble, target-bound and physical signals whose functional meaning changes with spatial presentation, timing and the state of the receiving cell. Yet most mechanistic studies isolate one receptor or ligand at a time. This review defines direct functional interaction as experimentally demonstrated effect modification between specified inputs in the same functional setting, and distinguishes it from sequential or multicellular relays, context dependence, association and hypothesis. The literature is organized around five linked decisions: positioning and stable contact, target recognition, uptake or restraint, cargo degradation and recovery, and later cellular state or output. Noradrenergic opposition to ATP-directed process extension provides a direct interaction; neuron-microglia-astrocyte and injury-induced ATP-IL-1β circuits provide directional relays. Complement, phosphatidylserine, inhibitory checkpoints, trophic signals, mechanosensing, age, sex and anatomical niche instead show how individual pathways and context shape particular decisions without necessarily demonstrating cue-cue integration. Direct multi-input experiments remain uncommon. Human single-cell and spatial studies can identify candidate states and signalling niches, but observational data cannot by themselves establish ligand access, receptor function, direction or causal interaction. Claims are therefore described as direct interactions, relays, context-dependent effects or associations according to the experiment that supports them. Therapeutically, this matters because a pathway that contributes to pathology in one setting may support surveillance, clearance, vascular stability or repair in another.

Abstract: The retinal neurovascular unit (NVU) emerges through an ordered but overlapping sequence of endothelial growth, lumen formation, perfusion, selective branch retention and acquisition of inner blood-retinal barrier (iBRB) identity. This narrative review synthesizes primary developmental evidence across mouse, human fetal and non-human-primate retina, with emphasis on the experimental readout supported by each model. Mouse superficial angiogenesis advances postnatally across a broad astrocytic field before deep and intermediate plexuses form. Human central assembly instead includes resident vascular precursors before patent vessels, followed by predominantly angiogenic peripheral and intraretinal expansion; comparative primate anatomy adds a superficial-intermediate-deep laminar sequence and persistent foveal vascular exclusion. Across these systems, RGC-astrocyte-matrix interactions establish the superficial growth environment; dynamic endothelial competition, metabolism, lumenization and flow convert sprouts into a remodelled circulation; layer-specific neuronal, Müller-glial and microglial programmes shape intraretinal invasion; and Norrin/FZD4/β-catenin signalling, transcytosis suppression, mural support and vascular zonation establish barrier competence. The evidence also shows that vessel growth, perfusion and barrier function can be uncoupled, which limits inference from oxygen-induced retinopathy and engineered retinal models. Major gaps remain in the lineage of early human vascular precursors, the gestational timing of functional human iBRB maturation, foveal vascular exclusion and integration of layer-specific neuroglial signals.

Abstract: Animals possess multiple executable behavioral programs but ordinarily express only a subset at any moment. The Systema Behavorum treats such programs as latent execution architectures, permitting functional comparison across species despite divergent neural implementations. Here, six systems are assigned to Drosophila melanogaster—mating, reproductive investment, competition, navigation, reward, and defense—and the female post-mating transition is used to test the framework at identified-cell resolution. Mating transfers sex peptide, reducing activity in reproductive-tract sensory neurons and the ascending SAG pathway and thereby altering reproductive-state signaling through pC1. Two circuit observations distinguish altered access from altered capacity. After mating, courtship-song responses are attenuated in vaginal-plate-opening descending neurons (vpoDNs) while remaining intact in their upstream auditory inputs. Conversely, direct activation of oviposition descending neurons (oviDNs) is equally effective in virgin and mated females despite the strong mating dependence of spontaneous egg laying. A minimal circuit model further shows that the reported equality of activation thresholds is most consistent with subtractive removal of inhibition rather than altered intrinsic gain or straightforward divisive inhibition. Consistent with this interpretation, GABAergic oviINs inhibit the oviposition pathway, making post-mating egg laying a disinhibitory release, while GABAergic input to pC1 can close the receptivity gate. The same reproductive-state signal reconfigures feeding, locomotion, search, and aggression in different directions, supporting pC1 as a candidate coordination node rather than a uniform gain controller. Comparative evidence suggests that post-mating behavioral reallocation is more conserved than its molecular implementation. No known Drosophila modulator presently satisfies the criteria for a global permissive field. Thus, the fly supports coordinated, state-dependent gating through independently addressable channels while leaving a shared permissive variable as an experimentally testable hypothesis.

Abstract: Background/Objectives: Experimental work has implicated TMEM164 in glioblastoma radioresistance through post-translational inhibition of FASN and suppression of radiation-induced necroptosis, supported clinically by a dichotomised single-database survival analysis. We tested whether bulk-tumour TMEM164 mRNA carries the clinical signal that model predicts. Methods: Secondary analysis of four public resources: TCGA (n = 153), CGGA-693 (n = 104), CGGA-325 (n = 73), and 104 matched primary-recurrence pairs from GLASS. Overall survival was modelled by continuous Cox regression, pooled by Hartung-Knapp random-effects meta-analysis. Results: TMEM164 occupied a higher within-sample percentile in tumour than in non-tumour brain in all three cohorts (Cliff’s δ 0.68–0.85; all p ≤ 1.3 × 10⁻³) and was co-expressed with RIPK1 (ρ 0.25–0.44; all q < 0.05), ranking 43rd of 19,985 genes and unchanged by adjustment for tumour composition. No association with overall survival replicated across cohorts, in the pooled analysis (HR 1.11, 95% CI 0.77–1.61; I² = 49.9%), among irradiated patients, or in confirmed IDH-wildtype cases; isolated nominally significant positive estimates arose in exploratory strata and were not reproduced elsewhere. With 277 events the pooled interval excludes hazard ratios above approximately 1.6 per standard deviation, while smaller effects remain compatible. An optimal cutpoint generated HR 1.83 (p = 0.004) that did not survive correction for selection. TMEM164 protein was quantified in 0 of 99 CPTAC glioblastomas. Conclusions: Baseline bulk-tumour TMEM164 mRNA carries no reproducible prognostic information in adult glioblastoma. The proposed mechanism is post-translational and must be tested at the protein and activity level, on treatment-related tissue sampling.