Multivariate information theory uncovers synergistic subsystems of the human cerebral cortex

Communications Biology, Год журнала: 2023, Номер 6(1)

Опубликована: Апрель 24, 2023

One of the most well-established tools for modeling brain is functional connectivity network, which constructed from pairs interacting regions. While powerful, network model limited by restriction that only pairwise dependencies are considered and potentially higher-order structures missed. Here, we explore how multivariate information theory reveals in human brain. We begin with a mathematical analysis O-information, showing analytically numerically it related to previously established theoretic measures complexity. then apply O-information data, synergistic subsystems widespread Highly typically sit between canonical networks, may serve an integrative role. use simulated annealing find maximally subsystems, finding such systems comprise ≈10 regions, recruited multiple systems. Though ubiquitous, highly invisible when considering connectivity, suggesting form kind shadow structure has been unrecognized network-based analyses. assert interactions represent under-explored space that, accessible theory, offer novel scientific insights.

Язык: Английский

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The architecture of the human default mode network explored through cytoarchitecture, wiring and signal flow

Nature Neuroscience, Год журнала: 2025, Номер unknown

Опубликована: Янв. 28, 2025

Abstract The default mode network (DMN) is implicated in many aspects of complex thought and behavior. Here, we leverage postmortem histology vivo neuroimaging to characterize the anatomy DMN better understand its role information processing cortical communication. Our results show that cytoarchitecturally heterogenous, containing cytoarchitectural types are variably specialized for unimodal, heteromodal memory-related processing. Studying diffusion-based structural connectivity combination with cytoarchitecture, found contains regions receptive input from sensory cortex a core relatively insulated environmental input. Finally, analysis signal flow effective models showed unique amongst networks balancing output across levels hierarchies. Together, our study establishes an anatomical foundation which accounts broad plays human brain function cognition can be developed.

Язык: Английский

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QuNex—An integrative platform for reproducible neuroimaging analytics

Frontiers in Neuroinformatics, Год журнала: 2023, Номер 17

Опубликована: Апрель 5, 2023

Introduction Neuroimaging technology has experienced explosive growth and transformed the study of neural mechanisms across health disease. However, given diversity sophisticated tools for handling neuroimaging data, field faces challenges in method integration, particularly multiple modalities species. Specifically, researchers often have to rely on siloed approaches which limit reproducibility, with idiosyncratic data organization limited software interoperability. Methods To address these challenges, we developed Quantitative Environment & Toolbox (QuNex), a platform consistent end-to-end processing analytics. QuNex provides several novel functionalities analyses, including “turnkey” command reproducible deployment custom workflows, from onboarding raw generating analytic features. Results The enables interoperable integration multi-modal, community-developed through an extension framework development kit (SDK) seamless community tools. Critically, it supports high-throughput, parallel high-performance compute environments, either locally or cloud. Notably, successfully processed over 10,000 scans consortia, clinical datasets. Moreover, human non-human workflows via cohesive translational platform. Discussion Collectively, this effort stands significantly impact acquisition approaches, pipelines, datasets, computational Building will enable more rapid, scalable,

Язык: Английский

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Cortical microstructural gradients capture memory network reorganization in temporal lobe epilepsy

Brain, Год журнала: 2023, Номер 146(9), С. 3923 - 3937

Опубликована: Апрель 21, 2023

Temporal lobe epilepsy (TLE), one of the most common pharmaco-resistant epilepsies, is associated with pathology paralimbic brain regions, particularly in mesiotemporal lobe. Cognitive dysfunction TLE frequent, and affects episodic memory. Crucially, these difficulties challenge quality life patients, sometimes more than seizures, underscoring need to assess neural processes cognitive improve patient management. Our work harnessed a novel conceptual analytical approach spatial gradients microstructural differentiation between cortical areas based on high-resolution MRI analysis. Gradients track region-to-region variations intracortical lamination myeloarchitecture, serving as system-level measure structural functional reorganization. Comparing cortex-wide 21 patients 35 healthy controls, we observed reorganization this gradient driven by reduced cortices remaining cortex marked abnormalities ipsilateral temporopolar dorsolateral prefrontal regions. Findings were replicated an independent cohort. Using post-mortem dataset, that vivo findings reflected topographical cytoarchitecture. We indeed found macroscale changes increased similarity primary sensory/motor Disease-related transcriptomics could furthermore show specificity our over other syndromes. Finally, dedifferentiation was network seen during memory paradigm correlated interindividual differences task accuracy. Collectively, showing pattern microarchitectural regions provide structurally-grounded explanation for large-scale characteristic TLE.

Язык: Английский

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Multimodal precision MRI of the individual human brain at ultra-high fields

Scientific Data, Год журнала: 2025, Номер 12(1)

Опубликована: Март 29, 2025

Multimodal neuroimaging, in particular magnetic resonance imaging (MRI), allows for non-invasive examination of human brain structure and function across multiple scales. Precision neuroimaging builds upon this foundation, enabling the mapping structure, function, connectivity patterns with high fidelity single individuals. Highfield MRI, operating at field strengths 7 Tesla (T) or higher, increases signal-to-noise ratio opens up possibilities gains spatial resolution. Here, we share a multimodal Neuroimaging Connectomics (PNI) T MRI dataset. Ten healthy individuals underwent comprehensive protocol, including T1 relaxometry, magnetization transfer imaging, T2*-weighted diffusion multi-state functional paradigms, aggregated three sessions. Alongside anonymized raw data, release cortex-wide connectomes from different modalities parcellation scales, supply "gradients" that compactly characterize patterning cortical organization. Our precision dataset will advance our understanding structure-function relationships individual is publicly available via Open Science Framework.

Язык: Английский

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Long-range functional connections mirror and link microarchitectural and cognitive hierarchies in the human brain

Cerebral Cortex, Год журнала: 2022, Номер 33(5), С. 1782 - 1798

Опубликована: Май 2, 2022

Abstract Background Higher-order cognition is hypothesized to be implemented via distributed cortical networks that are linked long-range connections. However, it unknown how computational advantages of connections reflect microstructure and microcircuitry. Methods We investigated this question by (i) profiling connectivity using resting-state functional magnetic resonance imaging (MRI) cortico-cortical geodesic distance mapping, (ii) assessing local brain microarchitecture, (iii) examining the microarchitectural similarity regions connected through Results Analysis 2 independent datasets indicated sensory/motor areas had more clustered short-range connections, while transmodal association systems hosted distributed, Meta-analytical decoding suggested topographical difference mirrored shifts in cognitive function, from perception/action towards emotional/social processing. myelin-sensitive vivo MRI as well postmortem histology transcriptomics established gradients paralleled those present microarchitecture. Notably, were found link spatially remote cortex with an unexpectedly similar Conclusions By mapping covarying topographies microcircuits, current work provides insights into structure-function relations human neocortex.

Язык: Английский

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The regional variation of laminar thickness in the human isocortex is related to cortical hierarchy and interregional connectivity

PLoS Biology, Год журнала: 2023, Номер 21(11), С. e3002365 - e3002365

Опубликована: Ноя. 9, 2023

The human isocortex consists of tangentially organized layers with unique cytoarchitectural properties. These show spatial variations in thickness and cytoarchitecture across the neocortex, which is thought to support function through enabling targeted corticocortical connections. Here, leveraging maps 6 cortical based on 3D brain histology, we aimed quantitatively characterize systematic covariation laminar structure cortex its functional consequences. After correcting for effect curvature, identified a pattern changes covariance from lateral frontal posterior occipital regions, differentiated dominance infra- versus supragranular layer thickness. Corresponding regularities connections along hierarchy, infragranular-dominant was associated higher hierarchical positions mapped resting-state effective connectivity humans tract-tracing structural macaques. Moreover, that regions similar patterns have likelihood strength In sum, here organization association cortico-cortical connectivity, illustrating how may provide foundational principle function.

Язык: Английский

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Atypical connectome topography and signal flow in temporal lobe epilepsy

Progress in Neurobiology, Год журнала: 2024, Номер 236, С. 102604 - 102604

Опубликована: Апрель 10, 2024

Язык: Английский

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Integrated brain connectivity analysis with fMRI, DTI, and sMRI powered by interpretable graph neural networks

Medical Image Analysis, Год журнала: 2025, Номер 103, С. 103570 - 103570

Опубликована: Апрель 9, 2025

Язык: Английский

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Atypical intrinsic neural timescales in temporal lobe epilepsy

Epilepsia, Год журнала: 2023, Номер 64(4), С. 998 - 1011

Опубликована: Фев. 11, 2023

Abstract Objective Temporal lobe epilepsy (TLE) is the most common pharmacoresistant in adults. Here we profiled local neural function TLE vivo , building on prior evidence that has identified widespread structural alterations. Using resting‐state functional magnetic resonance imaging (rs‐fMRI), mapped whole‐brain intrinsic timescales (INT), which reflect temporal hierarchies of processing. Parallel analysis and diffusion MRI data examined associations with TLE‐related compromise. Finally, evaluated clinical utility INT. Methods We studied 46 patients 44 healthy controls from two independent sites, INT changes relative to across hippocampal, subcortical, neocortical regions. region‐specific alterations explored effects age duration. Supervised machine learning assessed for identifying vs left‐ right‐sided seizure onset. Results Relative controls, showed marked reductions multiple regions bilaterally, indexing faster changing resting activity, strongest ipsilateral medial lateral regions, bilateral sensorimotor cortices as well thalamus hippocampus. Findings were similar, albeit reduced effect sizes, when correcting increased advancing disease duration, yet findings differed aging seen controls. INT‐derived classifiers discriminated (balanced accuracy, 5‐fold: 76% ± 2.65%; cross‐site, 72%–83%) lateralized focus 96% 2.10%; 95%–97%), high accuracy cross‐site generalizability. consistent both acquisition sites robust controlling motion several methodological confounds. Significance Our demonstrate atypical macroscale a topography extends beyond mesiotemporal epicenters. measurements can assist diagnosis, lateralization, monitoring progression, emphasizes promising utility.

Язык: Английский

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