Biology subjects

Schmidt, C.

Publications and source records attributed to Schmidt, C..

At least 19 recordsLinked to original sources

bioRxiv2026

Cellular and mitochondrial correlates of regional glucose metabolism in the human cortex

Regional differences in human brain glucose metabolism reflect local energy demands, but their cellular and mitochondrial determinants remain unclear. We combined [18F]FDG positron emission tomography in healthy human participants with estimates of cellular composition and mitochondrial density to unravel (sub)cellular correlates of heterogeneity in brain glucose metabolism. By correcting for RNA content and differential gene expression due to postmortem sampling, we addressed methodological shortcomings in multimodal neuroimaging integration. We introduce transcriptionally derived cytoarchitectonic maps of the human cortex that are consistent with histological findings, providing a biologically grounded framework for relating in vivo neuroimaging signals. Accordingly, mitochondrial distribution showed strong association with the intrinsic energy requirements at resting state. In contrast, relations between metabolism and neuronal composition were driven by sensory input and mitochondria-sparse thin-axon neurons, suggesting that stimulation-induced energy demand is met rather by neuronal processes that are independent of mitochondrial abundance to maintain efficient information processing.

neuroscience↗

bioRxiv2026

Sleep-dependent modulation of thalamic brain temperature estimates in humans

Mammalian thermal physiology is geared towards dissipating heat during sleep. Brain temperature typically decreases during non-rapid-eye-movement (NREM) sleep in all mammalian species measured to date, yet non-invasive confirmation in healthy humans is lacking: the only available human study used invasive recordings in epileptic patients without a wake control condition. Magnetic resonance spectroscopy (MRS) enables brain temperature mapping non-invasively, using the temperature-sensitive chemical shift of water relative to N-Acetyl-Aspartate as an internal reference. First, we validated that with metabolite cycling (MC), a MRS approach that enables the simultaneous acquisition of metabolite and water information without conventional water suppression, can be used to determine estimates of brain temperature in an ex vivo sheep head. Next, we determined that by using a temporal resolution of ~4 minutes, we obtained high-quality spectra without losing excessive temporal resolution. We then re-analyzed an existing set of MRS data (acquired with the MC sequence) of the thalamus in young adults (n=9) who slept in the evening for up to 2 hours in the scanner, to assess sleep-evoked changes in estimates of brain temperature. Of the nine participants, five participants took part in the subsequent wake-only experiment, allowing to control for the potential impact of circadian time and body posture on estimates of brain temperature. Sleep-wake states were quantified with standard polysomnography, confirming that the participants managed to sleep in the scanner. On average, they spent 39.4+/-15.7 min in N2 sleep, 24.8+/-18.1 min in N3 sleep, 10.0+/-4.9 min in N1 sleep, and 37.0+/-19.6 min awake. Estimates of brain temperature were correlated across the sleep and wake-only experiment within the same participant (R^2=0.29, P<0.0001). When participants entered NREM sleep, estimates of brain temperature decreased by 0.2 degrees Celcius. Moreover, the deeper NREM sleep, the more pronounced the decrease in estimates of brain temperature (P=0.014). These data suggest that an evening nap consisting of NREM sleep decreases thalamic temperature. Considering the profound impact temperature can have on brain functioning, these brain temperature changes could be a pathway through which sleep impacts the brain.

neuroscience↗

bioRxiv2026

Network-specific metabolic cost of functional connectivity in the human brain

Despite decades of extensive research, the complex architecture underlying human brain signaling remains incompletely understood. Previous work investigating the relationship between brain glucose metabolism and functional connectivity (FC) employed whole-brain analysis, without accounting for network interactions, dependencies or hierarchies. Here, we assess network-specific differences in the relationship between FC and metabolic demand, using [18F]FDG PET/MR data from three independent datasets. The metabolic cost of FC, i.e., the change in glucose demand associated with corresponding changes in FC, was modeled at rest, during cognitive task performance and in Alzheimer's disease (AD). Our findings reveal network-specific differences in metabolic cost, with the default mode (DM), somatomotor (SM) and fronto-temporal networks accounting for highest, intermediate and lowest metabolic demands, respectively. Similarly, time-resolved variability of FC demonstrated highest costs for states with DM network involvement and lowest for SM network participation. This relationship was reversed in participants with AD, who exhibited decreased demands in the DM network and increased costs in the SM network. Cognitive performance consistently revealed cost reductions in the DM and SM networks, as well as increases in task relevant networks. Together, these results highlight the flexibility of functional network architecture associated with cognitive demands and neuropathology, and shed light on the complex interplay between glucose metabolism and network interactions.

neuroscience↗

bioRxiv2026

Differential upregulation of metabolic demands and functional integration of the default mode network during stress

Psychosocial stress engages coordinated physiological and neural responses that enable adaptation to environmental challenges. However, maladaptive stress and reduced resilience are major risk factors for psychiatric and neurodegenerative disorders. As the brains metabolic response to stress remains largely unexplored, we used simultaneous [18F]FDG PET/MRI during performance of the Montreal Imaging Stress Task to assess cerebral glucose metabolism, BOLD activation and functional connectivity. On top of activation in relation to cognitive processing, psychosocial stress specifically recruits the posterior cingulate cortex (PCC) with increased glucose metabolism and attenuated BOLD deactivations. This was accompanied by reduced PCC integration within the default mode network and increased influence onto frontoparietal and dorsal attention networks. Moreover, individuals exhibiting an endocrine stress response showed lower resilience scores, failed to downregulate anterior cingulate cortex (ACC) metabolism during stress, and displayed an inverse relationship between ACC glucose metabolism and anterior insula functional connectivity. Together, these results demonstrate that acute psychosocial stress induces coordinated alterations in brain metabolism and large-scale network organization. Our findings show that metabolic imaging provides complementary information, revealing stress-related brain responses not captured by hemodynamics alone, thereby providing a multimodal framework for understanding human stress processing and individual vulnerability to stress-related psychiatric disorders.

neuroscience↗

bioRxiv2026

Multi-omics characterization of extracellular vesicles derived from virus-positive Merkel cell carcinoma cells

Merkel cell carcinoma (MCC) is a highly aggressive skin cancer, with approximately 80% of cases driven by Merkel cell polyomavirus (MCPyV). Although extracellular vesicles (EVs) are increasingly recognized as mediators of intercellular communication within the tumor microenvironment, their molecular cargo in MCPyV-positive MCC has not been comprehensively characterized. Here, we performed a multi-omics characterization of EVs released by two MCPyV-positive MCC cell lines. EVs were isolated by differential ultracentrifugation and characterized by nanoparticle tracking analysis, imaging flow cytometry, cryo-electron microscopy, and immunoblotting, demonstrating a heterogeneous population of small and large EVs. Proteomic and transcriptomic analyses revealed that MCC-derived EVs possess distinct protein, mRNA, and miRNA cargo compared with their parental cells, with enrichment of molecules associated with gene expression, RNA processing, intracellular signaling, and vesicle-mediated transport. Despite differences in the molecular composition of EVs derived from WaGa and MKL-1 cells, functional enrichment analyses revealed highly similar biological pathways. To investigate whether the viral oncoprotein small T antigen (sT) contributes to EV cargo composition, EVs from inducible sT knockdown cells were analyzed. Loss of sT was associated with modest changes in the EV proteome and mRNA cargo, whereas the overall EV-associated miRNA profile remained largely unchanged. Collectively, these findings provide the first comprehensive molecular characterization of EVs released by MCPyV-positive MCC cells and establish a foundation for investigating the contribution of EV-mediated communication to MCC biology and tumor-microenvironment interactions.

molecular biology↗

bioRxiv2026

Systematic identification of pH-sensing amyloid core motifs reveals a widespread mechanism for reversible protein assembly upon stress

Unlike irreversible pathological amyloids, reversible fibrils can be regulated via pH-sensing core motifs, characterized by amyloid properties unleashed upon stress-induced protonation of critical residues. Here, we combined bioinformatic predictions and an in vitro validation pipeline to search for pH-responsive, reversible amyloid core peptides in yeast and human proteomes. This approach uncovered biophysical properties distinguishing pH-sensing and constitutive amyloid cores and established reliable criteria to identify novel reversible assemblies based on sequence data. Selected full-length candidate proteins with evolutionarily conserved pH-sensing motifs were analyzed in Saccharomyces cerevisiae using fluorescence microscopy and SDS-resistance assays, revealing multiple proteins forming reversible assemblies in stationary phase. We found that protonation of a specific histidine in the amyloid core motif of the asparagine synthase Asn1 is necessary and sufficient for assembling catalytically inactive, reversible structures called cytoophidia. Interestingly, mutant cells that fail to assemble Asn1-cytoophidia show defects to recover from stationary phase, demonstrating functional relevance of pH-sensing amyloid core motifs in vivo. Taken together, we uncovered a widespread and conserved pH-sensing mechanism that regulates the reversible assembly and function of structurally diverse fibrils upon stress.

biochemistry↗

bioRxiv2026

OmniPath Metabo: chemical structures, interactions and mechanisms to study the metabolome

Mechanistic and functional analysis of omics data largely relies on the incorporation of prior knowledge; however, connecting metabolomics data and knowledge is a major methodological challenge. This is largely driven by the diverse prior knowledge being fragmented across many databases requiring the merging of different database records across chemical structures, identifiers, and varying levels of structural specificity. Hence, this limits mechanistic interpretation and functional characterisation of the metabolome. Here, we present OmniPath Metabo, a comprehensive, harmonized, metabolome-centric database covering metabolites, lipids, food-derived compounds, and small molecule drugs, along with their associated receptors, transporters, enzymes, reactions, allosteric regulators, and disease associations. OmniPath Metabo harmonizes attributes using controlled vocabularies and ontologies, structures and built-in cheminformatics to map identifiers and track ambiguity. OmniPath Metabo is built directly from 40+ original resources and is freely accessible via an interactive web app and API at metabo.omnipathdb.org. OmniPath Metabo enables dynamic, context-specific construction of subnetworks to serve dedicated purposes, such as cell-cell communication or integrated multi-omics metabolite-driven regulation, connecting reactions, allosteric regulation, metabolite-receptor and metabolite-transporter interactions. Combining it with the over 170 other resources in OmniPath, it can be used for integrated networks of signaling, gene regulation, and metabolism. We showcase the application of OmniPath Metabo by analysing publicly available metabolomics data of lung cancer cell lines and metabolic footprints to mutational patterns. In summary, OmniPath Metabo transforms fragmented resources into a harmonised prior knowledge framework for a mechanistic and functional analysis of the metabolome.

bioinformatics↗

bioRxiv2026

A Phosphorylation-Induced Micellization switch in the low complexity domain of TDP-43

Abstract textPhase separation (PS) of the low-complexity domain (LCD) of TDP-43 is linked to pathogenic aggregates in amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD-TDP). Here, we show that extensive phosphorylation of the LCD C-terminus redirects its self-assembly. Coarse-grained Monte Carlo simulations predicted that 12 Ser phosphorylations partition the 148-residue LCD into a hydrophobic N-terminal and highly charged C-terminal block, favoring finite-sized micellization over macroscopic PS. In vitro, LCD phosphorylated by casein kinase 1 delta (CK1{delta}; mean of 12 phosphorylations by native mass spectrometry) and phosphomimetic 12D/12DD mutants formed spherical nanoparticles ({approx} 20-50 nm) above a low-micromolar critical micelle concentration, whereas the unphosphorylated LCD underwent reversible PS that matured into fibrils. Increasing ionic strength shifted the mutants toward anisotropic morphologies (worm-like 12D micelles and rigid 12DD nanocylinders). Turbidity assays and confocal imaging directly visualized the absence of PS in the phosphorylated form. Negative-stain and cryo-EM confirmed the spherical micellar architecture for the phosphorylated LCD and 12D/12DD mimics. Our data identify phosphorylation as a molecular switch tuning macrophase separation and fibril formation of TDP-43 LCD, providing a framework for an aggregation-protective role through microphase separation into size-limited micelles. Whether these assemblies are stable or kinetically trapped on pathological timescales remains unclear.

biophysics↗

bioRxiv2026

A neuroimmune IL-13 axis is associated with human enteric nervous system development

The mechanisms governing maturation of the human enteric nervous system (ENS) during early postnatal life remain poorly defined. Here, we characterize the transcriptomic, cellular, and functional landscape of the neonatal human ileum and identify a neuro-immune axis associated with ENS expansion. Using human tissue transcriptomics, flow cytometry, iPSC-derived enteric neural lineages, and single-cell interactome analyses, we show that the neonatal ileum is enriched for pro-neurogenic transcriptional programs and harbors a greater abundance of enteric neurons and glia than the adult tissue. T cells emerge as a predominant source of interleukin-13 (IL-13) in the neonatal gut, and enteric neurons express its receptor IL13RA1, enabling direct immune-to-neuron signaling. Functional experiments demonstrate that IL-13 enhances expression of key enteric neuronal markers in a concentration-dependent manner. In parallel, single-cell analyses identify enteric neurons as a major predicted source of macrophage migration inhibitory factor (MIF), with signaling directed toward T and NK cell populations, suggesting that the ENS actively shapes the immune environment it depends upon. Together, these findings support a model in which bidirectional neuro-immune communication establishes a pro-neurogenic niche during a critical window of ENS development. This work positions the neonatal immune system as an active contributor to ENS maturation and offers a new perspective on how neuro-immune crosstalk shapes intestinal development in early life.

neuroscience↗

bioRxiv2026

Phase separation behavior of TDP-43 governs its protein interactome and regulation of altern

TDP-43 is a nuclear RNA-binding protein that regulates RNA metabolism, including alternative splicing. Its aggregation is a major pathological hallmark of several neurodegenerative diseases. TDP-43 undergoes phase separation (PS) and this condensation behavior may be linked to aggregate formation. Whether and how PS governs TDP-43 RNA regulatory functions remains poorly understood. Here we utilized rationally designed mutations in the TDP-43 low complexity domain to tune TDP-43 PS, yielding a panel of TDP-43 variants with reduced propensity to form condensates (PS-deficient), and a panel forming irreversible, undynamic condensates (solid-like) in vitro and in cells. Two complementary interactomics approaches identified PS-dependent interactions between TDP-43 and key RNA regulatory factors, including splicing regulators and the RNA helicase UPF1, which show increased interactions with solid-like variants. Our results highlight that TDP-43 PS regulates RNA and protein homeostasis by modulating a subset of TDP-43-dependent alternative splicing events and by reshaping interactions with RNA regulatory factors.

biochemistry↗

bioRxiv2026

Disruption of RBM20 causes atrial electrophysiological disturbances

BackgroundDilated cardiomyopathy (DCM) is a leading cause of heart failure, with 30-50 % of cases attributed to familial inheritance. Mutations in RNA-binding motif protein 20 (RBM20) account for 3-5 % of cases and are associated with severe DCM and ventricular arrhythmias. However, the role of RBM20 mutations in atrial cardiomyopathy (AtCM) and atrial fibrillation (AF) remains underexplored. This study investigates the effects of the RBM20-R636Q mutation on atrial electrophysiology and evaluates sodium-glucose co-transporter (SGLT) inhibitors as potential therapeutics. ResultsRbm20-R636Q mice exhibited atrial remodeling, including hypertrophy, left atrial enlargement, and shortened action potential duration at 90% repolarization (APD90). Compared with RBM20-knockout and laminopathy models, RBM20-R636Q mice showed distinct reductions in Ito / IKur without changes in IK,sus or IK,tail currents, alongside TASK-1 potassium current upregulation and alterations of ICaL. SGLT inhibitors (sotagliflozin, empagliflozin, dapagliflozin) reduced AP inducibility and partially restored APD90, with effects comparable to lidocaine, suggesting a role in modulating peak sodium currents. ConclusionsRBM20 mutations contribute to atrial remodeling, promoting AtCM and AF. SGLT inhibitors demonstrate therapeutic potential by modulating atrial electrophysiology and reducing arrhythmogenesis, offering a promising strategy for managing RBM20-related cardiac disorders. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=156 SRC="FIGDIR/small/711772v1_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@7bcccaorg.highwire.dtl.DTLVardef@1c20b0dorg.highwire.dtl.DTLVardef@63bbcdorg.highwire.dtl.DTLVardef@1bea67f_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2026

Transcriptional regulation of the TASK-1 potassium channel by ETV1 -Implications for atrial excitability

BackgroundAtrial fibrillation (AF), the most common sustained arrhythmia, is driven by electrical and structural remodelling, including altered ion channel expression. The atrial-specific potassium channel TASK-1 regulates action potential duration (APD) and is differentially expressed in AF and left ventricular dysfunction, but the mechanisms controlling its expression are not well understood. ObjectiveThis study examines whether the transcription factor ETV1 regulates TASK-1 and contributes to atrial electrical remodelling. MethodsAtrial tissue from patients with and without AF was analysed to assess the relationship between ETV1 and TASK-1 (KCNK3) expression. In HL-1 cardiomyocyte-like cells and native fibroblasts, ETV1 activity was reduced using pharmacological inhibition or siRNA-mediated knockdown. TASK-1 expression, TASK-1 current, and APD at 90% repolarization were measured. Pacing experiments tested activity-dependent TASK-1 regulation. Direct transcriptional regulation was evaluated using ChIP-qPCR and ChIP-seq to detect ETV1 binding at the KCNK3 promoter. ResultsETV1 and TASK-1 levels were positively correlated in human atrial tissue. In HL-1 cells and fibroblasts, ETV1 inhibition or knockdown decreased TASK-1 expression and current and selectively prolonged APD90. Pacing-induced upregulation of TASK-1 was prevented by ETV1 inhibition, indicating a protective effect against pro-arrhythmic remodelling. ChIP-qPCR and ChIP-seq confirmed direct ETV1 binding to the KCNK3 promoter. ConclusionETV1 directly regulates TASK-1 expression and contributes to atrial electrical remodelling, identifying ETV1 as a potential upstream therapeutic target in AF. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=89 SRC="FIGDIR/small/711402v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@3e5b25org.highwire.dtl.DTLVardef@1d1f909org.highwire.dtl.DTLVardef@34cf37org.highwire.dtl.DTLVardef@1105539_HPS_FORMAT_FIGEXP M_FIG C_FIG Translational perspectiveAtrial fibrillation is sustained by maladaptive electrical remodelling that remains insufficiently addressed by current rhythm-control therapies. Direct inhibition of individual ion channels has shown efficacy but is limited by phenotype dependence and proarrhythmic risk. The present data identify ETV1 as an upstream transcriptional regulator of the atrial-specific potassium channel TASK-1. Modulation of ETV1 reduced TASK-1 expression, prolonged atrial repolarisation, and prevented tachycardia-induced electrical remodelling in vitro. Targeting ETV1 may therefore represent a disease-modifying strategy that intervenes earlier in the remodelling cascade than conventional antiarrhythmic drugs. This approach could enable phenotype-guided therapy in atrial cardiomyopathy, particularly in patients with preserved ventricular function, and warrants validation in translational large-animal and clinical studies.

molecular biology↗

bioRxiv2026

The impact of crystallographic plane orientation as an unexplored terrain in hemocompatible material design

Thrombogenicity causes significant complications in the application of blood-contacting implants, requiring strategies to prevent adverse coagulation reactions. The thrombotic responses to the foreign surfaces are mainly driven by surficial factors such as surface energy, topography, and electrochemical interactions. Although anticoagulation therapies reduce the risks of clotting, patients might still encounter bleeding complications. Therefore, rather than high-risk anticoagulation therapies to counteract coagulation, it is essential to ensure hemocompatibility through the materials intrinsic properties. Endothelialization is crucial in preventing thrombotic complications, with various strategies explored for facilitating endothelial cell adhesion and proliferation. We investigated the impact of crystallographic anisotropy on endothelial and blood cell interactions on four main planes (A-, C-, M-, and R-planes) of single crystalline alumina (-Al2O3, sapphire). Employing advanced surface characterization techniques, including SIMS, KPFM and Zeta potential measurements, our study sheds light on the hemocompatibility of biomaterials considering anisotropic effects. We elucidated that the A-plane of alumina promotes endothelialization and suppresses platelet activation in contrast to other crystallographic planes. Our investigation into cell-surface interactions provides valuable insights and contributes to the advanced biomaterial design, ultimately leading to enhanced clinical outcomes.

bioengineering↗

bioRxiv2025

MetAlyzer to Perform Streamlined, Interactive, and Pathway-Mapping Analysis of Targeted Metabolomics Data from the biocrates Platform

Mass spectrometry (MS)-based metabolomics has emerged as a powerful tool to address multifaceted biological questions. Commercial solutions like the ones developed at biocrates allow reliable and quantitative targeted metabolic profiling, including the conversion of the raw MS spectra into absolute concentrations of metabolites. These results can be exported for further analysis under several formats with varying levels of human-vs. machine-readability. The default output format is an Excel spreadsheet that favours human readability and therefore requires extra preparation steps for downstream bioinformatic analysis and data exploration. To streamline this next step for users of this platform, we developed MetAlyzer, an R package (https://github.com/Lu-Group-UKHD/MetAlyzer) specifically designed to handle the spreadsheets generated by WebIDQ, the biocrates workflow manager software. MetAlyzer converts WebIDQ-generated spreadsheets into flexible SummarizedExperiment objects and provides functions for data preprocessing, statistical testing, and visualization of differential metabolites. To further support data exploration and hypothesis generation by users without coding experience, we also developed an interactive and intuitive Shiny app (https://metalyzer.shinyapps.io/MetAlyzer_ShinyApp/) that interfaces with MetAlyzers core functionality, enabling users to execute the complete analysis workflow without writing code. This combination can help scientists deepen their understanding of metabolomics results, supporting the broader adoption of metabolomics in the life sciences community.

bioinformatics↗

bioRxiv2025

A dividing cell model for stable propagation and curing of bona fide human sporadic Creutzfeldt-Jakob Disease prions

Prions are assemblies of misfolded proteins that cause transmissible, progressive neurodegenerative disease in humans and other mammals. Human prion diseases have particular public health and biological significance, both due to their transmissibility between hosts, and the mechanisms they share with many other neurodegenerative conditions. However, their study has been considerably impeded by the absence of a cell-based system capable of reproducibly propagating and quantifying bona fide human prion infectivity, which has been a goal for several decades. Here, we describe the first robust, cell-based assay of human prion infectivity in dividing cells. We found that CAD5 cells expressing human prion protein instead of the endogenous mouse prion protein, replicate human prion infectivity from brain samples of patients with sporadic Creutzfeldt-Jakob disease (sCJD) expressing valine at codon 129 of the prion protein gene. Moreover, these cells quantify human prion infectivity with similar sensitivity to the current gold standard animal bioassay, at a fraction of the cost and time, maintain persistent infection that can be cured with an anti-prion treatment, and can be adapted for therapeutic screening. This novel system permits direct cell-based quantification and investigation of human prion infectivity for the first time.

neuroscience↗

bioRxiv2025

A flexible Janus head: molecular determinants of a viral protein's RNAi suppressor and capsid forming activities

Viral suppressors of RNA silencing (RNAi) expressed by plant viruses, VSRs, are exceptional proteins. Although not conserved, even within virus families, most VSRs bind small interfering RNAs, siRNAs, thereby blocking antiviral RNAi. Turnip crinkle virus, a member of the Tombusviridae family, encodes a VSR, TCV P38, which also forms the viral capsid. Biochemical studies of the purified protein revealed that the TCV P38 VSR functions as a metastable dimer that binds double-stranded (ds) RNA with high affinity via an induced-fit mechanism of both binding partners. Consistent with its role as a VSR that interferes with antiviral RNAi at various stages, P38 distinguishes between siRNAs of different lengths. Consistent with its capsid-forming function, the protein binds longer dsRNAs cooperatively. Structural data obtained from an RNA-free capsid-like icosahedral crystal and modeling of Tombusviridae capsid proteins suggest that flexible interactions between the P (protruding)-domains of P38 are important determinants for forming both the VSR dimer and the capsid structure. Studies with protein mutants confirmed this and also revealed the central role of the S (shell)- and R (RNA-binding)-domains of TCV P38 in adaptive substrate binding. Our study provides comprehensive insights into the molecular and structural properties of a versatile viral "Janus head" protein. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=85 SRC="FIGDIR/small/690650v1_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@185f6b1org.highwire.dtl.DTLVardef@6e773org.highwire.dtl.DTLVardef@1456981org.highwire.dtl.DTLVardef@11a63e_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2025

Test-Retest Reliability of Dopaminergic fPET and fMRI Measures During Reward Processing

Reward processing is essential to human brain function, with dopamine signalling in the nucleus accumbens (NAcc) as key element. The monetary incentive delay task is widely studied with functional magnetic resonance imaging (fMRI), measuring indirect hemodynamic changes. Functional positron emission tomography (fPET) with 6-[18F]FDOPA directly quantifies dopamine synthesis enabling dynamic assessment during task performance within a single scan. We investigated the reliability of 6-[18F]FDOPA fPET and blood oxygenation level dependent (BOLD) fMRI during a modified monetary incentive delay task in 25 healthy participants across two PET/MRI sessions. Intraclass correlation coefficients and coefficients of variance were computed for BOLD beta estimates and striatal dopamine synthesis at 30s and 2s resolutions. fPET showed fair to good reliability in the NAcc and putamen at rest, fair reliability during the win condition in the caudate and putamen, but poor reliability across the loss condition in all regions. Conversely, fMRI showed good reliability in the NAcc during feedback and in the caudate during feedback loss, but fair reliability elsewhere except for poor reliability in the caudate during cue loss. These findings indicate that both methods achieve comparable reliability but in different target areas, with the molecular specificity of fPET offering dynamic assessment of dopaminergic function. Clinicaltrials.gov IdentifierNCT06675851

neuroscience↗

bioRxiv2025

Hedonic experiences emerge from an orchestrated balance of synergistic and redundant information processing

Ketamine exerts rapid-acting, pro-hedonic effects, yet its precise mechanism remains elusive. Here, we present behavioral and fMRI data from a randomized, placebo-controlled crossover study in 38 healthy participants investigating ketamines sub-acute effects on multivariate information-processing during music-evoked peak hedonic experiences. Leveraging information-theoretical measures, our findings indicate that hedonic experiences depend on a distinct global (as measured by O-Information) and local (as measured by integrated information) balance between redundant - information shared across nodes - and synergistic - information emerging from joint interactions - processes. As hedonic intensity rises, neural dynamics shift toward greater synergy; with the one exception of a deliberate increase in redundancy particularly for key sensory information to ensure reliable transmission of and access to critical external information for subsequent hedonic processing. In contrast, ketamines sub-acute pro-hedonic effects arise potentially from enhancing redundant dynamics at rest, boosting the brains capability to robustly represent and access critical internal information, and thus, fostering an environment optimized to amplify the phenomenological hedonic experience, while simultaneously allowing for more efficient information integration.

neuroscience↗