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5 results for “cortical hierarchy”
Dataset accompanying the paper "Multimodal laminar characterization of visual areas along the cortical hierarchy"
<p>This dataset accompanying the manuscript "<strong>Multimodal laminar characterization of visual areas along the cortical hierarchy</strong>". </p> <p>It contains:</p> <ul> <li>final processed data that are used to compute (and plot) laminar profiles. Laminar profiles are shown as main figures in the manuscript.</li> <li>raw resting-state fMRI data + scanning protocol file</li> </ul>
Functional Connectivity Development along the Sensorimotor-Association Axis Enhances the Cortical Hierarchy
<p><span>Human cortical maturation has been posited to be organized along the sensorimotor-association axis, a hierarchical axis of brain organization that spans from unimodal sensorimotor cortices to transmodal association cortices. Here, we investigate the hypothesis that the development of functional connectivity during childhood through adolescence conforms to the cortical hierarchy defined by the sensorimotor-association axis. We tested this pre-registered hypothesis in four large-scale, independent datasets (total <em>n </em>= 3,355; ages 5-23 years): the Philadelphia Neurodevelopmental Cohort (<em>n </em>= 1,207), Nathan Kline Institute-Rockland Sample (<em>n</em> = 397), Human Connectome Project: Development (<em>n</em> = 625), and Healthy Brain Network (<em>n</em> = 1,126). Across datasets, the development of functional connectivity systematically varied along the sensorimotor-association axis. Connectivity in sensorimotor regions increased, whereas connectivity in association cortices declined, refining and reinforcing the cortical hierarchy. These consistent and generalizable results establish that the sensorimotor-association axis of cortical organization encodes the dominant pattern of functional connectivity development. <strong><span> </span></strong><span> </span></span></p>
Figure 3 from: Bethlehem R, Falkiewicz M, Freyberg J, Parsons O, Farahibozorg S, Pretzsch C, Soergel B, Margulies D (2017) Gradients of cortical hierarchy in Autism. Research Ideas and Outcomes 3: e13391. https://doi.org/10.3897/rio.3.e13391
Figure 3 - Average z-scores obtained from unthresholded reverse-inference neurosynth meta-analysis activation maps. We divided the principle gradient into percentiles and used this to create a mask. We then calculated the average z-score inside this mask on neurosynth maps.
Figure 2 from: Bethlehem R, Falkiewicz M, Freyberg J, Parsons O, Farahibozorg S, Pretzsch C, Soergel B, Margulies D (2017) Gradients of cortical hierarchy in Autism. Research Ideas and Outcomes 3: e13391. https://doi.org/10.3897/rio.3.e13391
Figure 2 - Goodness of fit for principal gradient. Ranked according to the median goodness of fit for both groups.
Figure 1 from: Bethlehem R, Falkiewicz M, Freyberg J, Parsons O, Farahibozorg S, Pretzsch C, Soergel B, Margulies D (2017) Gradients of cortical hierarchy in Autism. Research Ideas and Outcomes 3: e13391. https://doi.org/10.3897/rio.3.e13391
Figure 1 - Linear fit of gradient slopes for the top 10 gradients for each group (1 == neurotypical individuals; 2 == individuals with autism).
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.