<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>19</volume><submitter>Zamboni E</submitter><pubmed_abstract>&lt;h4>Introduction&lt;/h4>A full understanding of how we see our world remains a fundamental research question in vision neuroscience. While topographic profiling has allowed us to identify different visual areas, the exact functional characteristics and organization of areas up in the visual hierarchy (beyond V1 &amp; V2) is still debated. It is hypothesized that visual area V4 represents a vital intermediate stage of processing spatial and curvature information preceding object recognition. Advancements in magnetic resonance imaging hardware and acquisition techniques (e.g., non-BOLD functional MRI) now permits the capture of cortical layer-specific functional properties and organization of the human brain (including the visual system) at high precision.&lt;h4>Methods&lt;/h4>Here, we use functional cer</pubmed_abstract><journal>Frontiers in neuroscience</journal><pagination>1537026</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11897262</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Mapping curvature domains in human V4 using CBV-sensitive layer-fMRI at 3T.</pubmed_title><pmcid>PMC11897262</pmcid><pubmed_authors>Zamboni E</pubmed_authors><pubmed_authors>Huber L</pubmed_authors><pubmed_authors>Formisano E</pubmed_authors><pubmed_authors>Morland AB</pubmed_authors><pubmed_authors>Goebel R</pubmed_authors><pubmed_authors>Kennerley AJ</pubmed_authors><pubmed_authors>Watson I</pubmed_authors><pubmed_authors>Stirnberg R</pubmed_authors></additional><is_claimable>false</is_claimable><name>Mapping curvature domains in human V4 using CBV-sensitive layer-fMRI at 3T.</name><description>&lt;h4>Introduction&lt;/h4>A full understanding of how we see our world remains a fundamental research question in vision neuroscience. While topographic profiling has allowed us to identify different visual areas, the exact functional characteristics and organization of areas up in the visual hierarchy (beyond V1 &amp; V2) is still debated. It is hypothesized that visual area V4 represents a vital intermediate stage of processing spatial and curvature information preceding object recognition. Advancements in magnetic resonance imaging hardware and acquisition techniques (e.g., non-BOLD functional MRI) now permits the capture of cortical layer-specific functional properties and organization of the human brain (including the visual system) at high precision.&lt;h4>Methods&lt;/h4>Here, we use functional cer</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025</publication><modification>2025-04-03T23:57:21.025Z</modification><creation>2025-04-03T23:57:21.025Z</creation></dates><accession>S-EPMC11897262</accession><cross_references><pubmed>40078711</pubmed><doi>10.3389/fnins.2025.1537026</doi></cross_references></HashMap>