Intrinsic macroscale oscillatory modes driving long range functional connectivity in female rat brains detected by ultrafast fMRI

Cabral, Joana; Fernandes, Francisca F.; Shemesh, Noam

doi:10.1038/s41467-023-36025-x

Cited by 33 publications

(19 citation statements)

References 102 publications

(142 reference statements)

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“…Our results also highlight a link between the dynamic organization of fMRI activity and the principal axis of variance of static fMRI activity as mapped with functional connectivity gradients. This result suggests that the macroscale organization of the functional connectome is critically shaped by the occurrence of its constituting spatiotemporal modes, a notion supported also by complementary conceptualization of fMRI dynamics 65 .…”

Section: Discussionmentioning

confidence: 61%

Evolutionarily conserved fMRI network dynamics in the mouse, macaque, and human brain

Gutierrez-Barragan

Ramirez

Panzeri

et al. 2023

Preprint

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Evolutionarily relevant networks have been previously described in several mammalian species using time-averaged analyses of fMRI time-series. However, fMRI network activity is highly dynamic and continually evolves over timescales of seconds. Whether the dynamic principles that govern intrinsic fMRI network fluctuations are conserved across mammalian species remains unclear. Using frame-wise clustering of fMRI time-series, we find that fMRI network dynamics in awake macaques and humans is characterized by recurrent transitions between a set of 4 dominant, neuroanatomically homologous fMRI coactivation modes (C-modes), three of which are also plausibly represented in the rodent brain. Importantly, in all species the identified C-modes exhibit species-invariant dynamic features, including intrinsic infraslow dynamics and preferred occurrence at specific phases of global fMRI signal fluctuations. Moreover, C-modes occurrence rates in awake humans, macaques and mice reflect temporal trajectories of least energy and predicts ranking of corresponding functional connectivity gradients. Our results reveal a set of species-invariant principles underlying the dynamic organization of fMRI networks in mammalian species, and offer novel opportunities to relate fMRI network findings across the phylogenetic tree.

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Section: Discussionmentioning

confidence: 61%

Evolutionarily conserved fMRI network dynamics in the mouse, macaque, and human brain

Gutierrez-Barragan

Ramirez

Panzeri

et al. 2023

Preprint

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“…Our multi-scale analysis is unique, complementing a number of previous efforts in generating macroscale, mesoscale, and microscale morphometry in the mouse brain (Shapson-Coe et al, 2021;Cabral et al, 2023;Oh et al, 2014;Harris et al, 2019;Whitesell et al, 2021;Witvliet et al, 2021).At the neuron-population level, we analyzed the modular organization of brain regions based on neurite distribution patterns. Previously, modules of mammalian brains have been studied in macroscale, primarily using functional Magnetic Resonance Imaging (Bertolero et al, 2015), and in mesoscale, such as the brain-wide neuronal population based projecting-networks using whole-brain optical imaging (Harris et al, 2019;Oh et al, 2014;Benavidez et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Full-Spectrum Neuronal Diversity and Stereotypy through Whole Brain Morphometry

Peng

Liu

Jiang³

et al. 2023

Preprint

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We conducted a large-scale study of whole-brain morphometry, analyzing 3.7 peta-voxels of mouse brain images at the single-cell resolution, producing one of the largest multi-morphometry databases of mammalian brains to date. We spatially registered 205 mouse brains and associated data from six Brain Initiative Cell Census Network (BICCN) data sources covering three major imaging modalities from five collaborative projects to the Allen Common Coordinate Framework (CCF) atlas, annotated 3D locations of cell bodies of 227,581 neurons, modeled 15,441 dendritic microenvironments, characterized the full morphology of 1,891 neurons along with their axonal motifs, and detected 2.58 million putative synaptic boutons. Our analysis covers six levels of information related to neuronal populations, dendritic microenvironments, single-cell full morphology, sub-neuronal dendritic and axonal arborization, axonal boutons, and structural motifs, along with a quantitative characterization of the diversity and stereotypy of patterns at each level. We identified 16 modules consisting of highly intercorrelated brain regions in 13 functional brain areas corresponding to 314 anatomical regions in CCF. Our analysis revealed the dendritic microenvironment as a powerful method for delineating brain regions of cell types and potential subtypes. We also found that full neuronal morphologies can be categorized into four distinct classes based on spatially tuned morphological features, with substantial cross-areal diversity in apical dendrites, basal dendrites, and axonal arbors, along with quantified stereotypy within cortical, thalamic and striatal regions. The lamination of somas was found to be more effective in differentiating neuron arbors within the cortex. Further analysis of diverging and converging projections of individual neurons in 25 regions throughout the brain reveals branching preferences in the brain-wide and local distributions of axonal boutons. Overall, our study provides a comprehensive description of key anatomical structures of neurons and their types, covering a wide range of scales and features, and contributes to our understanding of neuronal diversity and its function in the mammalian brain.

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“…Stuart-Landau model is a mathematical model that describes the dynamics of coupled oscillator systems and their synchronization. The Stuart-Landau oscillator is extensively utilized for simulating the oscillatory dynamics between neural masses in the brain and for simulating brain signals from many different modalities [3,12,27]. In this study, we aim to investigate the sensitivity changes in the brain and the occurrence of crises using the Stuart-Landau model.…”

Section: Methodsmentioning

confidence: 99%

Brain network hypersensitivity underlies pain crises in sickle cell disease

Joo,

Kim,

Kish

et al. 2023

Preprint

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Sickle cell disease (SCD) is a genetic disorder causing blood vessel blockages and painful Vaso-occlusive crises (VOCs). VOCs, characterized by severe pain due to blocked blood flow, are recurrent and unpredictable, posing challenges for preventive strategies. In this study we propose explosive synchronization (ES), a phenomenon characterized by abrupt brain network phase transitions, as a novel approach to address this challenge. We hypothesized that the accumulated disruptions in the brain network induced by SCD might lead to strengthened ES and hypersensitivity. We explored ES’s relationship with patient reported outcome measures (PROMs) and VOCs by analyzing EEG data from 25 SCD patients and 18 matched controls. SCD patients exhibited significantly lower alpha wave frequency than controls. SCD patients under painful pressure stimulation showed correlation between frequency disassortativity (FDA), an ES condition, and three important PROMs. Furthermore, patients who had a higher frequency of VOCs in the preceding 12 months presented with stronger FDA. The timing of VOC occurrence relative to EEG recordings was significantly associated to FDA. We also conducted computational modeling on SCD brain network to study FDA’s role in network sensitivity. Stronger FDA correlated with higher responsivity and complexity in our model. Simulation under noisy environment showed that higher FDA could be linked to increased occurrence frequency of crisis. This study establishes connections between SCD pain and the universal network mechanism, ES, offering a strong theoretical foundation. This understanding will aid predicting VOCs and refining pain management for SCD patients.

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Intrinsic macroscale oscillatory modes driving long range functional connectivity in female rat brains detected by ultrafast fMRI

Cited by 33 publications

References 102 publications

Evolutionarily conserved fMRI network dynamics in the mouse, macaque, and human brain

Evolutionarily conserved fMRI network dynamics in the mouse, macaque, and human brain

Full-Spectrum Neuronal Diversity and Stereotypy through Whole Brain Morphometry

Brain network hypersensitivity underlies pain crises in sickle cell disease

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