The Chimpanzee Brainnetome Atlas reveals distinct connectivity and gene expression profiles relative to humans

The Innovation, Journal Year: 2025, Volume and Issue: 6(2), P. 100755 - 100755

Published: Jan. 6, 2025

Chimpanzees (Pan troglodytes) are one of humans' closest living relatives, making them the most directly relevant comparison point for understanding human brain evolution. Zeroing in on differences connectivity between humans and chimpanzees can provide key insights into specific evolutionary changes that might have occurred along lineage. However, such comparisons hindered by absence cross-species atlases established within same framework. To address this gap, we developed Chimpanzee Brainnetome Atlas (ChimpBNA) using a connectivity-based parcellation Leveraging new resource, found substantial divergence patterns two species across association cortices, notably lateral temporal dorsolateral prefrontal cortex. These deviate sharply from pattern cortical expansion observed when comparing to chimpanzees, highlighting more complex nuanced evolution than previously recognized. Additionally, identified regions displaying connectional asymmetries differed species, likely resulting divergence. Genes highly expressed divergent connectivities were enriched cell types crucial projection circuits synapse formation, whose pronounced expression hint at genetic influences neural circuit development, function, Our study provides fine-scale chimpanzee atlas highlights chimpanzee-human rigorous comparative manner. In addition, these results suggest potential gene correlates species-specific linking neuroimaging data, offering human-unique cognitive capabilities.

Language: Английский

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Relation of connectome topology to brain volume across 103 mammalian species

PLoS Biology, Journal Year: 2024, Volume and Issue: 22(2), P. e3002489 - e3002489

Published: Feb. 5, 2024

The brain connectome is an embedded network of anatomically interconnected regions, and the study its topological organization in mammals has become paramount importance due to role scaffolding function behavior. Unlike many other observable networks, connections incur material energetic cost, their length density are volumetrically constrained by skull. Thus, open question how differences volume impact topology. We address this issue using MaMI database, a diverse set mammalian connectomes reconstructed from 201 animals, covering 103 species 12 taxonomy orders, whose size varies over more than 4 orders magnitude. Our analyses focus on relationships between modular organization. After having identified modules through multiresolution approach, we observed connectivity features relate structure these relations vary across volume. found that as increases, spatially compact dense, comprising costly connections. Furthermore, investigated spatial embedding shapes communication, finding nodes’ distance progressively impacts communication efficiency. modes variation policies, smaller bigger brains show higher efficiency routing- diffusion-based signaling, respectively. Finally, bridging modularity larger brains, imposes stronger constraints signaling. Altogether, our results systematically related topology tighter restrictions brains.

Language: Английский

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A connectomics-based taxonomy of mammals

eLife, Journal Year: 2022, Volume and Issue: 11

Published: Nov. 7, 2022

Mammalian taxonomies are conventionally defined by morphological traits and genetics. How species differ in terms of neural circuits whether inter-species differences circuit organization conform to these is unknown. The main obstacle the comparison architectures has been network reconstruction techniques, yielding species-specific connectomes that not directly comparable one another. Here, we comprehensively chart connectome across mammalian phylogenetic spectrum using a common protocol. We analyse MRI (MaMI) data set, database encompasses high-resolution ex vivo structural diffusion scans 124 12 taxonomic orders 5 superorders, collected unified assess similarity between two methods: Laplacian eigenspectra multiscale topological features. find greater similarities among within same order, suggesting reflects established relationships morphology While all retain hallmark global features relative proportions connection classes, variation driven local regional connectivity profiles. By encoding into frame reference, findings establish foundation for investigating how change over phylogeny, forging link from genes behaviour.

Language: Английский

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Denoising diffusion MRI: Considerations and implications for analysis

Imaging Neuroscience, Journal Year: 2023, Volume and Issue: 2, P. 1 - 29

Published: Dec. 14, 2023

Abstract Development of diffusion MRI (dMRI) denoising approaches has experienced considerable growth over the last years. As noise can inherently reduce accuracy and precision in measurements, its effects have been well characterised both terms uncertainty increase dMRI-derived features biases caused by floor, smallest measurable signal given level. However, gaps our knowledge still exist objectively characterising dMRI these assessing their efficacy. In this work, we reconsider what a method should not do accordingly define criteria to characterise performance. We propose comprehensive set evaluations, including i) benefits improving quality reducing variance, ii) gains floor improving, iii) preservation spatial resolution, iv) agreement denoised data against gold standard, v) downstream parameter estimation (precision accuracy), vi) efficacy enabling noise-prone applications, such as ultra-high-resolution imaging. further provide newly acquired complex datasets (magnitude phase) with multiple repeats that sample different SNR regimes highlight performance differences under scenarios. Without loss generality, subsequently apply number exemplar patch-based algorithms datasets, Non-Local Means, Marchenko-Pastur PCA (MPPCA) magnitude domain, NORDIC, compare them respect above standard average repeats. demonstrate all tested noise-related but always from elevated floor. They induce resolution penalty, extent vary depending on implementation. Some agree more than others challenges even defining standard. Overall, show performed domain is advantageous criteria.

Language: Английский

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The mouse motor system contains multiple premotor areas and partially follows human organizational principles

Cell Reports, Journal Year: 2024, Volume and Issue: 43(5), P. 114191 - 114191

Published: May 1, 2024

While humans are known to have several premotor cortical areas, secondary motor cortex (M2) is often considered be the only higher-order area of mouse brain and thought combine properties various human cortices. Here, we show that axonal tracer, functional connectivity, myelin mapping, gene expression, optogenetics data contradict this notion. Our analyses reveal three areas in mouse, anterior-lateral (ALM), M2 (aM2), posterior-medial (pM2), with distinct structural, functional, behavioral properties. By using same techniques across mice humans, ALM has strikingly similar microstructural anterior ventral aM2 pM2 amalgamate pre-SMA cingulate cortex. These results provide evidence for existence multiple chart a comparative map between systems mice.

Language: Английский

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The spatial extent of anatomical connections within the thalamus varies across the cortical hierarchy in humans and macaques

Published: Feb. 29, 2024

Each cortical area has a distinct pattern of anatomical connections within the thalamus, central subcortical structure composed functionally and structurally nuclei. Previous studies have suggested that certain areas may more extensive target multiple thalamic nuclei, which potentially allows them to modulate distributed information flow. However, there is lack quantitative investigations into connectivity patterns thalamus. Consequently, it remains unknown if exhibit systematic differences in extent their To address this knowledge gap, we used diffusion magnetic resonance imaging (dMRI) perform brain-wide probabilistic tractography for 828 healthy adults from Human Connectome Project. We then developed framework quantify spatial each area’s Additionally, leveraged resting-state functional MRI, myelin, human neural gene expression data test thalamus varied along hierarchy. Our results revealed two cortico-thalamic motifs: 1) sensorimotor motif characterized by focal targeting posterolateral associated with fast, feed-forward flow; 2) an associative diffuse anteromedial slow, feed-back These findings were consistent across subjects also observed macaques, indicating cross-species generalizability. Overall, our study demonstrates association support functionally-distinct

Language: Английский

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Connectivity profile and function of uniquely human cortical areas

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 20, 2024

Abstract Quantitative comparison of the white matter organization human neocortex with that chimpanzee and macaque shows a wide distribution areas uniquely connectivity profile, including frontal-parietal fiber systems temporal visual pathway. Functional decoding these their involvement in language, abstract reasoning, social information processing. Overall, results counter models assign primacy to prefrontal cortex for uniqueness.

Language: Английский

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White matter connections of human ventral temporal cortex are organized by cytoarchitecture, eccentricity, and category-selectivity from birth

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 30, 2024

Category-selective regions in ventral temporal cortex (VTC) have a consistent anatomical organization, which is hypothesized to be scaffolded by white matter connections. However, it unknown how connections are organized from birth. Here, we scanned newborn 6-month-old infants and adults determine the organization of VTC. We find that cytoarchitecture, eccentricity, category Connectivity profiles functional same cytoarchitectonic area similar birth develop parallel, with decreases endpoint connectivity lateral occipital, parietal, somatosensory cortex, increases prefrontal cortex. Additionally, between VTC early visual topographically eccentricity bands predict biases These data show there both innate organizing principles VTC, capacity for change over development.

Language: Английский

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From Diagnostic CT to DTI Tractography Labels: Using Deep Learning for Corticospinal Tract Injury Assessment and Outcome Prediction in Intracerebral Haemorrhage

Lecture notes in computer science, Journal Year: 2025, Volume and Issue: unknown, P. 3 - 11

Published: Jan. 1, 2025

Language: Английский

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Fine-scale striatal parcellation using diffusion MRI tractography and graph neural networks

Medical Image Analysis, Journal Year: 2025, Volume and Issue: 101, P. 103482 - 103482

Published: Feb. 7, 2025

Language: Английский

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