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Borrell, V.

Publications and source records attributed to Borrell, V..

13 recordsLinked to original sources

Evolution Shapes Cortical Interneuron Migration

The cerebral cortex comprises excitatory neurons and inhibitory interneurons originating from distinct forebrain regions. During migration, cortical interneurons (cINs) interact dynamically with neighbouring cells and their microenvironment, contributing to cortical architecture. However, how evolutionary changes in cIN migration shape species-specific cortical development remains unclear. Comparative analyses in mouse, ferret, and human models revealed a conserved migratory sequence but distinct behaviours: human cINs migrate slower, display increased leading-process branching, and exhibit more frequent homotypic repulsive interactions than their mouse and ferret counterparts. These features promote dispersed cortical invasion of cINs in humans and ferrets, contrasting with the stream-like migration observed in mice. Mechanistically, elevated expression of the cytosolic carboxypeptidase CCP1 in human cINs reduces microtubule glutamylation and doublecortin recruitment, thereby facilitating leading-process branching. These findings identify a CCP1-dependent mechanism regulating cIN dispersion and suggest that evolutionary changes in cIN migration contribute to divergent patterns of cortical morphogenesis across mammals.

neuroscience↗

The atypical RHO-GTPase RND3/RHOE interacts with FLRT3 to regulate cortical migration and folding

Cortical gyrification, characterized by the formation of sulcal fissures and gyral peaks, is a distinctive feature of large mammalian brains and is associated with the emergence of higher cognitive functions. This contrasts with small mammals, like mice, which generally display smooth (lissencephalic) cortices. Gyrification results from the integration of several complex processes such as neuron progenitor amplification and migration. However, the underlying molecular mechanisms remain poorly understood. Here, we show that genetic ablation of Rnd3, encoding the atypical RHO-GTPase RND3/RHOE, induces spontaneous cortical sulci in a subset of mouse embryos without increasing neural progenitor amplification. Instead, RND3 regulates cortical neuron migration, as RND3 overexpression delays neuronal migration, whereas its loss accelerates this process. Similar phenotypes reported in the double Flrt1/3 mutants, suggested a functional interaction between the transmembrane FLRTs and RND3 during cortex development. We demonstrate that Rnd3 and Flrt3 are co-expressed in migrating cortical neurons and interact through a {beta}-strand-mediated binding mechanism, involving a conserved motif in RND3. Disruption of this motif abolishes FLRT3 binding, impairs RND3-mediated regulation of neuronal migration and promotes sulcus formation, indicating that FLRT3-RND3 suppresses cortical folding by regulating neuronal migration in mice. Consistently, Rnd3 expression is reduced in the outer subventricular zone of the prospective sulcal regions in the gyrencephalic ferret brain, supporting the notion that RND3 downregulation contributes to sulci development. Together, these findings identify FLRT3-RND3 signalling as a conserved negative regulator of cortical neuron migration and cortical folding.

neuroscience↗

Cortical folding patterns are encoded in the geometry of the unfolded neocortex.

Cortical folding patterns are conserved across individuals of gyrencephalic species and are closely related to cytoarchitectural organisation, connectivity, and function. Early morphogen gradients have been proposed as the molecular source of positional information encoding these patterns - a gyral molecular protomap - but the contribution of neocortical geometry to this encoding has not been examined. Here we show that the geometry of the unfolded ferret brain guides the adult folding pattern before any folding has occurred. Using high-resolution MRI surface reconstructions from postnatal day (P) 0 to adults, we demonstrate that newborn neocortical curvature predicts mature curvature maps, sulcal-gyral fate, and fold orientation. Pre-folding curvature correlates with expression of key patterning genes, and a mediation analysis indicates that geometry at P0 is the principal predictor of sulcal-gyral fate at P6. Mechanical simulations show that regions of high curvature act as autonomous anchors that organise the folding pattern. These results suggest that neocortical geometry constitutes a form of positional information that complements molecular patterns in regulating cortical organisation, and that a complete account of cortical development requires the integration of geometric and mechanical processes alongside molecular signalling.

neuroscience↗

Subcellular transcriptome of radial glia reveals compartmentalized control of cortical development

RNA localization and local translation mediate spatial and temporal control of polarized cells, including radial glial cells (RGCs) which produce and organize neurons and glia. Within RGCs, RNAs are transported long distances to basal endfeet, where they can undergo local translation. However, the subcellular composition of RGCs and function of local gene regulation remains largely unknown. Here, we discover that basal endfeet harbor a rich transcriptome including a Dynein component critical for subcellular RGC function. By purifying RGC compartments in vivo, we discover [~]3000 endfoot transcripts, including [~]800 highly enriched compared to cell bodies. Many endfoot-enriched transcripts exhibit conserved subcellular localization in neurons and glia and are associated with neurodevelopmental disease. We show that endfoot-enriched Dync1li2 regulates RGC basal morphology and subsequently interneuron organization. Finally, we develop LOCAL-KD, a CRISPR-Cas13 based method for subcellular mRNA knockdown in vivo. Leveraging this, we demonstrate that endfoot-localized Dync1li2 is critical for RGC morphology. Our study establishes experimental paradigms to understand RNA localization in the nervous system. Moreover, we discover RGCs have a vast subcellular transcriptome, revealing foundational insights into how RGCs control cortical development.

neuroscience↗

Principles of neocortical organisation and behaviour in primates

One sentence summaryThe study of brain MRI from 70 different primate species reveals a fundamental principle of neocortical organisation and behaviour driven by mechanical morphogenesis. The development and evolution of neocortical organisation is typically explained by the interaction of two fundamental factors: genetics and experience-dependent processes. Morphogens and signalling molecules would orchestrate the formation of neocortical areas and connection networks, which are later refined through exposure to environmental stimuli. Evolutionary changes to these genetic programs are thought to account for the diversity of brains and behaviours observed in extant species. However, our phylogenetic comparative study of primate neuroanatomy and behaviour shows this view is incomplete. Using brain MRI from 70 primate species we observed that not only the degree of folding but also the folding pattern changes continuously with brain volume, independently of phylogenetic position. To better understand the consequences of this continuity we focused on New and Old World monkeys which diverged approximately 47 million years ago. Large New World monkeys, such as capuchins, have a significantly larger and more folded neocortex than many of their close phylogenetic relatives, whose brains are barely folded. Notably, in addition to folding, their thickness and connectivity patterns were almost identical to those of phylogenetically distant Old World monkeys. Combined analyses of MRI and endocasts from 105 primate species indicated that the highly folded neocortex of large New World monkeys evolved independently from a common ancestor with a small, unfolded brain. Remarkably, across all 70 species, behavioural similarity correlated substantially more with neuroanatomical similarity than with phylogenetic similarity. Our results challenge the prevailing explanation of the development and evolution of neocortical organisation. We propose that the "capuchin anomaly" can be resolved by incorporating mechanical morphogenesis, alongside genetics and experience, as a third fundamental factor. Growth-driven mechanical instabilities would produce similar neuroanatomical organisation patterns and behaviours, emerging independently of the specific genetic determinants of that growth.

neuroscience↗

Early Indirect Neurogenesis transitions to late Direct Neurogenesis in mouse cerebral cortex development

The cerebral cortex must contain the appropriate numbers of neurons in each layer to acquire its proper functional organization. Accordingly, neurogenesis requires precise regulation along development. Cortical neurons are made either directly by Radial Glia Cells (RGCs) that self- consume, or indirectly from RGCs via Intermediate Progenitor Cells (IPCs) and largely preserving the RGC pool. According to the standing model of cortical development, Direct Neurogenesis predominates at early stages of development, and progressively shifts to Indirect Neurogenesis, which predominates at late stages. However, neurogenesis at early stages should be compatible with RGC amplification, and neurogenesis at late stages needs to involve RGC consumption, which seems in conflict with the standing model. Here we studied the modes of neurogenesis along cortical development using multiple approaches, including birthdating, live imaging and MADM clone labeling. Contrary to the established dogma, our data show that Indirect Neurogenesis clearly predominates at early developmental stages, gradually shifting to Direct Neurogenesis at late stages. These findings challenge the current model of cortical neurogenesis, and prompt a re-evaluation of previous and ongoing work about the genetic and molecular mechanisms regulating this process.

neuroscience↗

Electrophysiological and network dynamics disruption of hippocampal CA1 neurons after NMDAr blockade by MK-801

The N-methyl-D-aspartate receptor (NMDAr) hypofunction hypothesis suggests that excitatory-inhibitory (E-I) imbalance underlies cognitive deficits associated with neuropsychiatric disorders, such as schizophrenia (SCZ). In this study, we investigated the impact of NMDAr blockade on pyramidal neurons and interneurons in the CA1 region of the hippocampus using in vivo electrophysiological recordings during both spontaneous and exploratory behaviors. Through the administration of MK-801, an NMDAr antagonist, we assessed changes in spike train dynamics, network synchrony, and neuronal modulation by oscillatory activity, with particular emphasis on theta, gamma, and sharp-wave ripple (SWR) oscillations. We found that NMDAr blockade significantly disrupted the E-I balance, leading to altered spike train properties, reduced bursting propensity, and impaired neuronal synchronization. These changes were accompanied by decreased modulation of pyramidal neurons and interneurons by theta and gamma oscillations, as well as diminished recruitment of pyramidal neurons during SWR events. Additionally, the correlation between firing rates and movement speed was reduced, reflecting deficits in spatial coding and memory processing. Moreover, MK-801 administration disrupted place cell stability and spatial information processing. These effects likely contribute to functional disconnection between the hippocampus and other brain regions, such as the prefrontal cortex, and may underlie SCZ-associated cognitive impairments. Our findings provide valuable insights into the cellular and network-level mechanisms affected by NMDAr dysfunction, highlighting the role of oscillatory activity and spike timing in cognitive deficits. This work advances our understanding of how NMDAr hypofunction impacts hippocampal circuits and identifies potential targets for therapeutic interventions aimed at restoring cognitive function in neuropsychiatric disorders.

neuroscience↗

EVIDENCE OF SPATIAL PERIODIC FIRING IN THE SUBICULUM OF MICE

The subiculum is a critical node of the hippocampal formation, integrating multiple circuits--including thalamic inputs and afferents from CA1 and medial entorhinal cortex--and projecting broadly to cortical and subcortical targets. Yet its contribution to spatial coding remains incompletely understood. We recorded single units in freely moving mice using two complementary approaches: (i) chronic tetrodes targeting CA1 and dorsal SUB, and (ii) 64-channel linear silicon probes targeting dorsal SUB. In addition to place cells, boundary-vector cells (BVC) and corner cells (CC), we identified a subset of SUB neurons that exhibited spatially periodic (grid-like) firing. This phenomenon was replicated across recording technologies indicating that periodic coding is a consistent feature of mouse subiculum. Compared with CA1 place cells, SUB spatial neurons showed lower spatial information and reduced within-session stability, suggesting distinct coding regimes across these hippocampal subregions. Sampling along the proximodistal axis with probe arrays further revealed that burst propensity correlated positively with spatial information at more distal recording sites, consistent with known physiological gradients in subiculum and echoing relationships seen in CA1. Together, these results expand the repertoire of identified spatial codes in SUB and support a view in which subiculum contributes to geometry- and periodicity-based representations that complement CA1 and entorhinal spatial representation, thus, shaping downstream computations in cortico-subcortical circuits. Significance StatementSpatial information and memory emerge from interactions among hippocampal and entorhinal circuits with diverse, spatially tuned neurons. Here we provide the first evidence in mice that pyramidal neurons in the subiculum exhibit grid-like, spatially periodic firing, replicated across tetrodes and high-density probes. These findings suggest that the subiculum contributes to computations beyond simple relay/integration of CA1 inputs, adding a periodic component to subicular spatial coding that may shape downstream cortico-subcortical circuits.

neuroscience↗

NMDAr BLOCKING BY MK801 ALTERS HIPPOCAMPAL AND PREFRONTAL CORTEX OSCILLATIONS AND IMPAIRS SPATIAL WORKING MEMORY IN MICE.

Abnormal NMDAr function has been linked to rhythmopathies, psychosis, and cognitive dysfunction in schizophrenia (SCZ). Here, we investigate the role of NMDAr hypofunction in pathological oscillations and behavior. We implanted mice with tetrodes in the dorsal hippocampus and medial prefrontal cortex (mPFC), administered the NMDAr antagonist MK801, and recorded oscillations during spontaneous exploration in an open field and in the y-maze spatial working memory test. Our results show that NMDAr blockade increased locomotor activity, impaired spatial working memory, and disrupted the correlation between oscillations and speed of movement, which is crucial for internal representations of distance. In the hippocampus, MK801 increased gamma oscillations and disrupted theta/gamma coupling. In the mPFC, MK801 increased the power of theta and gamma, generated high-frequency oscillations (HFO 155-185 Hz), and disrupted theta/gamma coupling. The performance of mice in the spatial working memory version of the y-maze was strongly correlated with CA1-PFC theta/ low gamma co-modulation. Thus, theta/gamma mediated by NMDAr function might be essential to explaining several of SCZs cognitive symptoms and might be crucial to explaining hippocampal-PFC interaction. Significance StatementNMDAr hypofunction might be the basis of cognitive symptoms and oscillopathies found in SCZ. In this work, we aimed to understand this link further. We found that NMDAr hypofunction altered theta/gamma co-modulation in the hippocampus and the PFC, explaining spatial working memory deficits.

neuroscience↗

MiR-137 and miR-122, two outer subventricular zone-enriched non-coding RNAs, regulate basal progenitor expansion and neuronal differentiation

Cortical expansion in the primate brain relies on the presence and the spatial enlargement of multiple germinal zones during development and on a prolonged developmental period. In contrast to other mammals, which have two cortical germinal zones, the ventricular zone (VZ) and subventricular zone (SVZ), gyrencephalic species display an additional germinal zone, the outer subventricular zone (OSVZ), which role is to increase the number and types of neurons generated during corticogenesis. How the OSVZ emerged during evolution is poorly understood but recent studies suggest a role for non-coding RNAs, which allow tight regulations of transcriptional programs in time and space during development (Dehay et al. 2015; Arcila et al., 2014). Here, using in vivo functional genetics, single-cell RNA sequencing, live imaging and electrophysiology to assess progenitor and neuronal properties in mice, we identify two ferret and human OSVZ-enriched microRNAs (miR), miR-137 and miR-122, which regulate key cellular features associated with cortical expansion. MiR-137 promotes basal progenitor self-replication and superficial layer neuron fate, while miR-122 slows down neuronal differentiation pace. Together, these findings support a cell-type specific role for miR-mediated transcriptional regulation in cortical expansion.

evolutionary biology↗

MIR3607 regulates cerebral cortex development via activation of Wnt/βCat signaling

The evolutionary expansion of the mammalian cerebral cortex is recapitulated during embryonic development in large mammals, but the underlying genetic mechanisms remain mostly unknown. Previous transcriptomic analyses of the developing ferret cortex identify candidate genes related to the expansion of germinal layers and cortex size. Here we focused on MIR3607, a microRNA differentially expressed between germinal layers of the large human and ferret cortex, not expressed in the small mouse cortex. Expression of MIR3607 in mouse embryos at E14.5 leads to increased progenitor cell proliferation. This is reflected in transcriptomic changes, which also reveal increased Wnt/{beta}Catenin signaling. Expression of MIR3607 at E12.5, when progenitor cells expand, causes amplification and severe delamination of apical progenitors, leading to rosette formation. This is rescued by co-expressing Adenomatous Polyposis Coli, inhibitor of canonical Wnt signaling. A similar phenotype is produced in human cerebral organoids. Our findings demonstrate that MIR3607 expands and delaminates apical progenitor cells via activating Wnt/{beta}Catenin, and suggest that a secondary loss of expression in mouse may underlie their reduction in cortex size during recent evolution.

developmental biology↗

Comparison between diffusion MRI tractography and histological tract-tracing of cortico-cortical structural connectivity in the ferret brain

The anatomical wiring of the brain is a central focus in network neuroscience. Diffusion MRI tractography offers the unique opportunity to investigate the brain fiber architecture in vivo and non invasively. However, its reliability is still highly debated. Here, we explored the ability of diffusion MRI tractography to match invasive anatomical tract-tracing connectivity data of the ferret brain. We also investigated the influence of several state-of-the-art tractography algorithms on this match to ground truth connectivity data. Tract-tracing connectivity data were obtained from retrograde tracer injections into the occipital, parietal and temporal cortices of adult ferrets. We found that the relative densities of projections identified from the anatomical experiments were highly correlated with the estimates from all the studied diffusion tractography algorithms (Spearmans rho ranging from 0.67 to 0.91), while only small, non-significant variations appeared across the tractography algorithms. These results are comparable to findings reported in mouse and monkey, increasing the confidence in diffusion MRI tractography results. Moreover, our results provide insights into the variations of sensitivity and specificity of the tractography algorithms and hence, into the influence of choosing one algorithm over another.

neuroscience↗

A computational approach for characterizing the structural basis of intrinsic coupling modes of the cerebral cortex

Intrinsic coupling modes (ICMs) provide a framework for describing the interactions of ongoing brain activity at multiple spatial and temporal scales. Two families of ICMs can be distinguished: phase and envelope ICMs. The principles that shape these ICMs remain partly elusive, in particular their relation to the underlying brain structure. Here we explored structure-function relationships in the ferret brain between ICMs quantified from ongoing brain activity recorded with chronically implanted ECoG arrays and structural connectivity (SC) obtained from high-resolution diffusion MRI tractography. Large-scale computational models as well as simple topological ingredients of SC were used to explore the ability to predict both types of ICMs. Importantly, all investigations were conducted with ICM measures that are sensitive or insensitive to volume conduction effects. The results show that both types of ICMs are strongly related to SC, except when using ICM measures removing zero-lag synchronizations. Computational models are challenged to predict these ICM patterns consistently, and simple predictions from SC topological features can sometimes outperform them. Overall, the results demonstrate that patterns of cortical functional coupling as reflected in both phase and envelope ICMs bear a substantial relation to the underlying structural connectivity of the cerebral cortex.

neuroscience↗