0000000000902117

AUTHOR

Francesca Bertacchini

showing 2 related works from this author

Brain-like large scale cognitive networks and dynamics

2018

A new approach to the study of the brain and its functions known as Human Connectomics has been recently established. Starting from magnetic resonance images (MRI) of brain scans, it is possible to identify the fibers that link brain areas and to build an adjacency matrix that connects these areas, thus creating the brain connectome. The topology of these networks provides a lot of information about the organizational structure of the brain (both structural and functional). Nevertheless this knowledge is rarely used to investigate the possible emerging brain dynamics linked to cognitive functions. In this work, we implement finite state models on neural networks to display the outcoming bra…

0301 basic medicineConnectomicsQuantitative Biology::Neurons and CognitionArtificial neural networkComputer sciencebusiness.industryGeneral Physics and AstronomyCognitionPattern recognitionCognitive network03 medical and health sciencesPhysics and Astronomy (all)030104 developmental biology0302 clinical medicineNeuroimagingConnectomeGeneral Materials ScienceSegmentationAdjacency matrixArtificial intelligenceMaterials Science (all)Physical and Theoretical Chemistrybusiness030217 neurology & neurosurgery
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Mid-sagittal plane detection for advanced physiological measurements in brain scans

2019

Objective The process of diagnosing many neurodegenerative diseases, such as Parkinson's and progressive supranuclear palsy, involves the study of brain magnetic resonance imaging (MRI) scans in order to identify and locate morphological markers that can highlight the health status of the subject. A fundamental step in the pre-processing and analysis of MRI scans is the identification of the mid-sagittal plane, which corresponds to the mid-brain and allows a coordinate reference system for the whole MRI scan set. Approach To improve the identification of the mid-sagittal plane we have developed an algorithm in Matlab® based on the k-means clustering function. The results have been compared …

MalePhysiologyComputer scienceBiomedical EngineeringBiophysicsk-means algorithmNeuroimagingSpatial reference systemPhysiology (medical)medicinemid-sagittal planeHumansmagnetic resonance imagingCluster analysisSettore MAT/07 - Fisica MatematicaAgedImage segmentationmedicine.diagnostic_testbusiness.industryk-means clusteringBrainMagnetic resonance imagingPattern recognitionGold standard (test)Image segmentationMiddle AgedReference StandardsSagittal planemedicine.anatomical_structuremachine learningDatabases as TopicFemaleArtificial intelligencebusinessAlgorithms
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