Search results for "Cortical surface"

showing 2 items of 2 documents

Topographic Independent Component Analysis reveals random scrambling of orientation in visual space

2017

Neurons at primary visual cortex (V1) in humans and other species are edge filters organized in orientation maps. In these maps, neurons with similar orientation preference are clustered together in iso-orientation domains. These maps have two fundamental properties: (1) retinotopy, i.e. correspondence between displacements at the image space and displacements at the cortical surface, and (2) a trade-off between good coverage of the visual field with all orientations and continuity of iso-orientation domains in the cortical space. There is an active debate on the origin of these locally continuous maps. While most of the existing descriptions take purely geometric/mechanistic approaches whi…

0301 basic medicineComputer scienceVisionVisual spaceStatistics as Topiclcsh:MedicineSocial SciencesSpace (mathematics)Scramblingchemistry.chemical_compound0302 clinical medicineCognitionLearning and MemoryAnimal CellsMedicine and Health SciencesPsychologylcsh:Sciencemedia_commonVisual CortexNeuronsMammalsObject RecognitionCoding MechanismsBrain MappingMultidisciplinaryGeographyOrientation (computer vision)Visual fieldmedicine.anatomical_structureVertebratesSensory PerceptionCellular TypesAnatomyNeuronal TuningResearch ArticleCartographyPrimatesmedia_common.quotation_subjectOcular AnatomyRetina03 medical and health sciencesTopographic MapsOcular SystemMemoryPerceptionOrientationNeuronal tuningmedicineAnimalsHumansCortical surfaceComputational NeuroscienceRetinabusiness.industrylcsh:ROrganismsCognitive PsychologyBiology and Life SciencesComputational BiologyRetinalPattern recognitionCell Biology030104 developmental biologyVisual cortexchemistryRetinotopyCellular NeuroscienceAmniotesEarth SciencesCognitive Sciencelcsh:QPerceptionArtificial intelligencebusiness030217 neurology & neurosurgeryNeurosciencePLoS ONE
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What we learn about bipolar disorder from large-scale neuroimaging

2020

Abstract MRI‐derived brain measures offer a link between genes, the environment and behavior and have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of BD have been underpowered, leading to varied results and uncertainty regarding effects. The Enhancing Neuro Imaging Genetics through Meta‐Analysis (ENIGMA) Bipolar Disorder Working Group was formed in 2012 to empower discoveries, generate consensus findings and inform future hypothesis‐driven studies of BD. Through this effort, over 150 researchers from 20 countries and 55 institutions pool data and resources to produce the largest neuroimaging studies of BD ever conducted. The ENIGMA Bipolar Disorder Workin…

mega-analysisStress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13]cortical surface areaReview Article0302 clinical medicineManic-depressive illnessMulticenter Studies as TopicSpectrum disorderReview Articlesbipolar disorderCerebral CortexTrastorn bipolarneuroimagingRadiological and Ultrasound Technology05 social sciencesENIGMAHUMAN BRAINMagnetic Resonance Imagingpsychiatry3. Good healthNeurologyMeta-analysisScale (social sciences)AnatomyPsychologyClinical risk factorClinical psychologyMRIMAJOR PSYCHIATRIC-DISORDERSSchizoaffective disorder050105 experimental psychology03 medical and health sciencesMagnetic resonance imagingNeuroimagingMeta-Analysis as TopicSDG 3 - Good Health and Well-beingImatges per ressonància magnèticamedicineHumans0501 psychology and cognitive sciencesRadiology Nuclear Medicine and imagingBipolar disorderHIPPOCAMPAL VOLUMESmega‐analysisGRAY-MATTER VOLUMESPECTRUM DISORDERvolumeDIABETES-MELLITUScortical thicknessCOGNITIVE IMPAIRMENTmedicine.diseaseMental illnessmeta-analysismeta‐analysisRC0321Neurology (clinical)SCHIZOAFFECTIVE DISORDERPSYCHOTIC FEATURES030217 neurology & neurosurgeryHuman Brain Mapping
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