Biology subjects

Cortese, A.

Publications and source records attributed to Cortese, A..

16 recordsLinked to original sources

bioRxiv2025

Bi-allelic mutations in KCTD11 cause a new form of autosomal recessive intermediate Charcot-Marie-Tooth disease

Charcot-Marie-Tooth disease (CMT) is the most common inherited neuromuscular disorder, characterized by progressive, length-dependent degeneration of peripheral nerves, resulting in distal muscle atrophy and weakness, foot and hand deformities, and sensory deficits. The disease is clinically and genetically heterogeneous, with over 125 disease-causing genes identified to date. Here, genetic studies in ten patients from 5 unrelated families of diverse ethnic background, led to the identification of KCTD11 as a novel CMT gene, responsible for a new autosomal recessive intermediate CMT subtype, RI-CMTE. The variants identified are loss of function. KCTD11 encodes KCTD11/REN, a protein of yet unknown function in the Peripheral Nervous System, known to regulate HDAC1, {beta}-catenin, and mTORC1, key regulators of myelination and neuronal differentiation in the PNS. To explore KCTD11s role in the PNS, we used a constitutive Kctd11-/- mouse model and the derived in vitro myelin model of sensory neuron and Schwann cell co-culture (DRGN/SC), to mimic the loss-of-function induced by patient mutations. We first demonstrate that the loss of KCTD11 is due to enhanced degradation of the mutated protein via autophagy. Both in vitro and in vivo, we demonstrate abnormal myelination in vivo and altered myelination dynamics in vitro. These defects were associated with dysregulation of the expression of key transcription factors in Schwann cells, such as Egr2 and Sox10, along with other myelin-related genes, as revealed by mRNA-sequencing data. Regarding pathophysiological mechanisms, we identified dysregulation of HDAC1 expression, as well as alterations in the Wnt/{beta}-catenin, Sonic Hedgehog and Hippo/YAP signaling pathways. The deregulation of these pathways seem to converge to altered autophagy and altered balance between proliferation, differentiation and apoptosis, at least in Schwann cells. These mechanisms remain to be explored in axons from PNS neurons. Altogether, our results identify KCTD11 as a novel gene defective in autosomal recessive intermediate RI-CMTE and highlight the key role of KCTD11 in maintaining myelin homeostasis through regulation of HDAC1 and phosphorylated {beta}-catenin levels, thereby preventing late-onset myelin abnormalities and degradation.

genetics↗

bioRxiv2025

Blaming Luck, Claiming Skill: Self-Attribution Bias in Error Assignment

Mistakes are valuable learning opportunities, yet in uncertain environments, whether a lack of reward is due to poor performance or bad luck can be hard to tell. To investigate how humans address this issue, we developed a visuomotor task where rewards depended on either skill or chance. Participants consistently displayed a self-attribution bias, crediting successes to their own ability while blaming failures on randomness, an effect that influenced their subsequent decisions. Computational modelling revealed two underlying mechanisms--a distorted perception of ability and a positivity bias in the skill condition. Notably, while distorted self-perception shaped behaviour, it did not affect confidence; instead, self-attribution bias led to overconfidence in external blame. These findings suggest a more complex picture in which self-attribution biases arise from both perceptual distortions and post-decision evaluations, highlighting the need for an interplay between experimental design and computational modelling to understand behavioural biases.

animal behavior and cognition↗

bioRxiv2025

Transcriptomic analysis of repeat expansion-ataxias uncovers distinct non-neuronal cell type-specific signatures of disease across the human brain

Hereditary ataxias are a heterogeneous group of neurogenetic conditions characterised by the clinical syndrome of progressive loss of coordination from neurodegeneration of the cerebellum. A commonality across the most prevalent ataxias is the underlying disease mechanism secondary to expansions of short tandem DNA repeats. There is currently an incomplete understanding of the pathogenic mechanisms of these repeat expansion disorders, a core feature of which revolves around RNA-dysregulation. In this study, we used both bulk and single nuclear RNA-sequencing to study post-mortem brain tissue of human donors with a range of repeat-expansion ataxias to reveal further mechanistic insights. We compared post-mortem paired cerebellar and frontal cortex tissue bulk RNA-sequencing data from 23 ataxia patients and 22 sex-, age-matched controls from two brain banks (spinocerebellar ataxia (SCA)1, SCA2, SCA6, SCA7, SCA17, Friedreichs ataxia (FRDA), and 7 cases with unknown molecular diagnoses). We analysed bulk RNA-sequencing data for transcript usage, differential and cell-type-specific expression to transcriptomically profile these diseases. We also generated single nuclear RNA-sequencing data of the cerebellum from donors with SCA1, SCA2, SCA6 and FRDA to decipher changes in cell type proportions in the disease state. Using this approach, we found that: (i) despite the commonalities in the genetics of ataxia, there were components of their transcriptional signatures which were distinct; (ii) there were extensive transcriptional changes evident not only in the cerebellum but also the frontal cortex in ataxia cases; (iii) activation of immune and inflammatory pathways, as well as involvement of non-neuronal cell types was a feature of all ataxias to a lesser or greater extent. This study provides a novel resource to understand the mechanisms of disease in ataxia. Furthermore, taken together, these results highlight immune pathways and the role of non-neuronal cell types as early and potentially important therapeutic targets. These findings provide a map of transcriptomic changes in ataxia to further understanding of the underlying pathogenesis.

neuroscience↗

bioRxiv2024

Dynamic cognitive differences between internal and external attention are associated with depressive and anxiety disorders

The internal/external attention framework characterises attention focused on internal representations, such as emotions, versus external representations, such as perceptual stimuli. The inability to focus ones attention is considered a critical factor in psychiatric disorders. While these different attentional foci are likely generated by the dynamic interplay of multiple cognitive processes, previous studies have generally examined single cognitive dimensions. We developed a new method, cognitive dynamic similarity analysis (C-DSA), to clarify how cognitive processes differ between experimental conditions. In an MR scanner, participants performed a word-processing task in which they focused on either their own emotions or the number of letters associated with a stimulus. To extract cognitive dynamics at the single-trial level, we applied cognitive dynamics estimation, a recently developed method that generates whole-brain activation maps for four cognitive dimensions (emotion processing, selective attention, self-referential thought, and working memory) using a meta-analytic platform. We then performed C-DSA to calculate the difference between internal and external attention for each cognitive dimension. C-DSA revealed significant differences between internal/external attention in all cognitive dimensions, but especially in emotion processing. Moreover, the difference between attention conditions of selective attention was negatively associated with the severity of depression and state-anxiety, but positively associated with trait-anxiety. Our findings suggest that C-DSA applies to both naturalistic and controlled dynamic processes and may be valuable in clinical settings by linking dynamic cognitive mechanisms with issues like ageing and psychiatric disorders. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=174 SRC="FIGDIR/small/615274v1_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@1a1bbb4org.highwire.dtl.DTLVardef@12a587forg.highwire.dtl.DTLVardef@1181b45org.highwire.dtl.DTLVardef@1a6716c_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2024

Dopamine-induced Relaxation of Connectivity Diversifies Burst Patterns in Cultured Hippocampal Networks

The intricate interplay of neurotransmitters orchestrates a symphony of neural activity in the hippocampus, with dopamine emerging as a key conductor in this complex ensemble. Despite numerous studies uncovering the cellular mechanisms of dopamine, its influence on hippocampal neural networks remains elusive. Combining in vitro electrophysiological recordings of rat embryonic hippocampal neurons, pharmacological interventions, and computational analyses of spike trains, we found that dopamine induces a relaxation in network connectivity, characterised by a reduction in spike coherence. This relaxation expands the repertoire of burst dynamics within these hippocampal networks, a phenomenon notably absent under the administration of dopamine antagonists. Our study provides a thorough understanding of the roles of dopamine signalling in shaping functional networks of hippocampal neurons.

neuroscience↗

bioRxiv2024

Tissue-Specific Dynamics of TCF4 Triplet Repeat Instability Revealed by Optical Genome Mapping

Here, we demonstrate the utility of optical genome mapping (OGM) to interrogate the Fuchs endothelial corneal dystrophy (FECD)-associated intronic TCF4 triplet repeat (termed CTG18.1) and gain novel insights into the tissue-specific nature of the disease. Genomic DNA (gDNA) samples derived from peripheral blood leukocytes and primary corneal endothelial cells (CECs) were analysed by OGM. Concurrently, all samples were genotyped by standard PCR-based methods to classify their expansion status. Individuals with one or more CTG18.1-expanded alleles ([≥]50 CTG repeats) detected in their leukocyte-derived gDNA were classified as expansion-positive. A customised bioinformatics pipeline was developed to perform CTG18.1-targeted OGM analysis. All linearised gDNA molecules containing labels flanking CTG18.1 were extracted, corrected for the repeats on the reference human genome and sized. Analysis of paired bio-samples revealed that expanded CTG18.1 alleles behave dynamically, regardless of cell-type origin, but displayed significantly higher levels of instability within the diseased corneal endothelium. Clusters of CTG18.1 molecules of approximately 1,800-11,900 repeats, beyond the ranges observed in individual-matched leukocyte samples, were detected in all CEC gDNA samples from expansion-positive cases. In conclusion, OGM is a powerful method to analyse the somatically unstable CTG18.1 locus. More generally, this work exemplifies the broader utility of OGM in exploring somatically unstable short tandem repeat loci. Furthermore, this study has highlighted the extreme levels of tissue-specific CTG18.1 somatic instability occurring within the diseased corneal endothelium, which we hypothesise plays a pivotal role in driving downstream pathogenic mechanisms of CTG18.1-mediated FECD.

genomics↗

bioRxiv2023

Modulating Subjective Pain Perception with Decoded MNI-space Neurofeedback

Pain is a complex emotional experience that still remains challenging to manage. Previous functional magnetic resonance imaging (fMRI) studies have associated pain with distributed patterns of brain activity (i.e., brain decoders), but it is still unclear whether these observations reflect causal mechanisms. To address this question, we devised a new neurofeedback approach leveraging real-time decoding of fMRI data to test if modulating pain-related multivoxel fMRI patterns could lead to changes in subjective pain experience. We first showed that subjective pain ratings can indeed be accurately predicted using a real-time decoding approach based on the stimulus intensity independent pain signature (SIIPS) and the neurologic pain signature (NPS). Next, we trained participants in a double-blinded decoded fMRI neurofeedback experiment to up- or down-regulate the SIIPS. Our results indicate that participants can learn to down-regulate the expression of SIIPS independently from NPS expression. Importantly, the success of this neurofeedback training was associated with the perceived intensity of painful stimulation following the intervention. Taken together, these results indicate that closed-loop brain imaging can be efficiently conducted using a priori fMRI decoders of pain, potentially opening up a new range of applications for decoded neurofeedback, both for clinical and basic science purposes.

neuroscience↗

bioRxiv2023

Interaction Between the Prefrontal and Visual Cortices Supports Subjective Fear

It has been reported that threatening and non-threatening visual stimuli can be distinguished based on the multi-voxel patterns of hemodynamic activity in the human ventral visual stream. Do these findings mean that there may be evolutionarily hardwired mechanisms within early perception, for the fast and automatic detection of threat, and maybe even for the generation of the subjective experience of fear? In this human neuroimaging study, we presented participants (Fear group: N=30; No Fear group: N = 30) with 2700 images of animals that could trigger subjective fear or not as a function of individuals idiosyncratic "fear profiles" (i.e., fear ratings of animals reported by a given participant). We provide evidence that the ventral visual stream may represent affectively neutral visual features that are statistically associated with fear ratings of participants, without representing the subjective experience of fear itself. More specifically, we show that patterns of hemodynamic activity predictive of a specific "fear profile" can be observed in the ventral visual stream whether a participant reports being afraid of the stimuli or not. Further, we found that the multivariate information synchronization between ventral visual areas and prefrontal regions distinguished participants who reported being subjectively afraid of the stimuli from those who did not. Together, these findings support the view that the subjective experience of fear may depend on the relevant visual information triggering implicit metacognitive mechanisms in the prefrontal cortex.

neuroscience↗

bioRxiv2023

Time-dependent neural arbitration between cue associative and episodic fear memories

After traumatic events, simple cue-threat associative memories strengthen while episodic memories become fragmented. However, how the brain prioritizes cue associations over episodic coding of traumatic events remains unclear. Here, we developed a new episodic threat conditioning paradigm in which participants concurrently form two memory representations: cue associations and episodic cue sequence. We discovered that these two distinct memories compete for physiological fear expression, reorganizing overnight from an overgeneralized cue-based to a precise sequence-based expression. With multivariate fMRI, we track inter-area communication of the memory representations and demonstrate that a shift from hippocampal-dominant to prefrontal-dominant control of the fear regulatory circuit governs this memory maturation. Critically, this overnight reorganization is altered in individuals with heightened trait anxiety. Together, these findings suggest the brain prioritizes generalizable associative memories under recent traumatic stress, but resorts to selective episodic memories 24 hrs later. Time-dependent memory competition provides a unifying account for memory dysfunctions in posttraumatic stress disorders.

neuroscience↗

bioRxiv2021

Cell environment shapes TDP-43 function: implications in neuronal and muscle disease

TDP-43 aggregation and redistribution have been recognised as a hallmark of amyotrophic lateral sclerosis, frontotemporal dementia and other neurological disorders. While TDP-43 has been studied extensively in neuronal tissues, TDP-43 inclusions have also been described in the muscle of inclusion body myositis patients, highlighting the need to understand the role of TDP-43 beyond the central nervous system. Using RNA-seq we performed the first direct comparison of TDP-43-mediated transcription and alternative splicing in muscle (C2C12) and neuronal (NSC34) mouse cells. Our results clearly show that TDP-43 displays a tissue-characteristic behaviour targeting unique transcripts in each cell type. This is not due to variable transcript abundance but rather due to cell-specific expression of RNA-binding proteins, which influences TDP-43 performance. Among splicing events commonly dysregulated in both cell lines, we identified some that are TDP-43-dependent also in human cells and show that inclusion levels of these alternative exons appear to be differentially altered in affected tissues of FTLD and IBM patients. We therefore propose that TDP-43 dysfunction, reflected in aberrant splicing, contributes to disease development but it does so in a tissue- and disease-specific manner.

neuroscience↗

bioRxiv2020

Value Shapes Abstraction During Learning

The human brain excels at constructing and using abstractions, such as rules, or concepts. Here, in two fMRI experiments, we demonstrate a mechanism of abstraction built upon the valuation of sensory features. Human volunteers learned novel association rules linking simple visual features. Mixture-of-experts reinforcement learning algorithms revealed that, with learning, high-value abstract representations increasingly guided participants behaviour, resulting in better choices and higher subjective confidence. We also found that the brain area computing value signals - the ventromedial prefrontal cortex - prioritized and selected latent task elements during abstraction, both locally and through its connection to the visual cortex. Such coding scheme predicts a causal role for valuation: in a second experiment, we used multivoxel neural reinforcement to test for the causality of feature valuation in the sensory cortex as a mechanism of abstraction. Tagging the neural representation of a tasks feature with rewards evoked abstraction-based decisions. Together, these findings provide a new interpretation of value as a goal-dependent, key factor in forging abstract representations.

neuroscience↗

bioRxiv2020

Brain network dynamics fingerprints are resilient to data heterogeneity

Large multi-site neuroimaging datasets have significantly advanced our quest to understand brain-behaviour relationships and to develop biomarkers of psychiatric and neurodegenerative disorders. Yet, such data collections come at a cost, as the inevitable differences across samples may lead to biased or erroneous conclusions. Previous work has investigated this critical issue in resting-state functional magnetic resonance imaging (rs-fMRI) data in terms of effects on static measures, such as functional connectivity and brain parcellations. Here, we depart from prior approaches and utilize dynamical models to examine how diverse scanning factors in multi-site fMRI recordings affect our ability to infer the brains spatiotemporal wandering between large-scale networks of activity. Building upon this premise, we first confirm the emergence of robust subject-specific dynamical patterns of brain activity. Next, we exploit these individual fingerprints to show that scanning sessions belonging to different sites and days tend to induce high variability, while other factors, such as the scanner manufacturer or the number of coils, affect the same metrics to a lesser extent. These results concurrently indicate that we can recover the unique trajectories of brain activity changes in each individual, but also that our ability to infer such patterns is affected by how, where and when we try to do so. Author summaryWe investigate the important issue of data heterogeneity in large multi-site data collections of brain activity recordings. At a time in which appraising the source of variability in large datasets is gaining increasing attention, this study provides a novel point of view based on data-driven dynamical models. By employing subject-specific signatures of brain network dynamics, we find that certain scanning factors significantly affect the quality of resting-state fMRI data. More specifically, we first validate the existence of subject-specific brain dynamics fingerprints. As a proof of concept, we show that dynamical states can be estimated reliably, even across different datasets. Finally, we assess which scanning factors, and to what extent, influence the variability of such fingerprints.

neuroscience↗

bioRxiv2019

Multivoxel patterns for perceptual confidence are associated with false color detection

While it has been proposed that metacognition and conscious perception are related, the mechanistic relationship between the two is unclear. To address this question, we combined decoded neurofeedback (DecNef) in functional magnetic resonance imaging (fMRI) with concurrent psychophysics. Participants were rewarded for activating multivoxel patterns for color discrimination confidence while they detected color in mostly achromatic stimuli. We found that occurences of voxel patterns for high color discrimination confidence were associated with false alarms in the concurrent color detection task, suggesting a link between discrimination confidence and consciousness.

neuroscience↗

bioRxiv2019

Metacognition facilitates the exploitation of unconscious brain states

Can humans be trained to make strategic use of unconscious representations in their own brains? We investigated how one can derive reward-maximizing choices from latent high-dimensional information represented stochastically in neural activity. In a novel decision-making task, reinforcement learning contingencies were defined in real-time by fMRI multivoxel pattern analysis; optimal action policies thereby depended on multidimensional brain activity that took place below the threshold of consciousness. We found that subjects could solve the task, when their reinforcement learning processes were boosted by implicit metacognition to estimate the relevant brain states. With these results we identified a frontal-striatal mechanism by which the brain can untangle tasks of great dimensionality, and can do so much more flexibly than current artificial intelligence.

neuroscience↗

bioRxiv2018

Absence of pathogenic mutations in CD59 in chronic inflammatory demyelinating polyradiculoneuropathy.

ObjectiveMutations in CD59 cause CIDP-like polyneuropathy in children with inherited chronic hemolysis. We hypothesized that mutations in CD59 might be found in a subset of sporadic CIDP patients.\n\nMethods5 patients from two centers, fulfilling the EFNS/PNS diagnostic criteria for CIDP were included. CD59 coding region was amplified by PCR and Sanger sequenced.\n\nResultsOne rare variant was detected in a patient which resulted in a synonymous change and predicted to be neutral. Pathogenic variants were absent in our cohort.\n\nInterpretationOur pilot study suggests that mutations in CD59 are absent in adult-onset sporadic CIDP.

immunology↗

bioRxiv2017

Towards an Unconscious Neurotherapy for Common Fears

Can evolutionarily hardwired fear responses, e.g. for spiders and snakes, be reprogramed unconsciously in the human brain? Currently, exposure therapy is amongst the most effective treatments for anxiety disorders1, but this intervention is subjectively aversive to patients, and rates of premature attrition from treatment have been reported to be as high as 70%2. Here we introduce a novel method to bypass the subjective unpleasantness in conscious exposure, by directly pairing monetary reward with unconscious occurrences of decoded representations of naturally feared objects in the brain. The typical way to identify multivoxel functional magnetic resonance imaging (fMRI) representations for feared objects involves repeated presentations of the relevant images explicitly to subjects. However, for our potential treatment method to be effective in actual clinical settings, we need to decode fear representations without triggering excessively aversive reactions which may cause patients to dropout from treatments prematurely. Here we overcome this challenge by capitalizing on recent advancements in fMRI decoding techniques: We employed a method called hyperalignment3,4 to infer the relevant representations of feared objects for a designated participant based on data from other surrogate participants. This way the procedure completely bypasses the need for the conscious encountering of feared objects. We demonstrate that our method can lead to reliable reductions in physiological fear responses measured by skin conductance as well as amygdala hemodynamic activity. Not only do these results raise the intriguing possibility that naturally occurring fear can be re-programmed outside of conscious awareness, importantly they also created the rare opportunity for a psychological intervention of this nature to be tested rigorously in a double-blind placebo-controlled fashion. This may pave the way for a novel treatment method, combining the appealing rationale and proven efficacy of conventional psychotherapy with the rigor and leverage of clinical neuroscience.

neuroscience↗