0000000001012144

AUTHOR

Leila Nabulsi

0000-0001-9448-7769

showing 2 related works from this author

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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Aberrant Subnetwork and Hub Dysconnectivity in Adult Bipolar Disorder: A Multicenter Graph Theory Analysis

2021

Abstract Neuroimaging evidence implicates structural network-level abnormalities in bipolar disorder (BD); however, there remain conflicting results in the current literature hampered by sample size limitations and clinical heterogeneity. Here, we set out to perform a multisite graph theory analysis to assess the extent of neuroanatomical dysconnectivity in a large representative study of individuals with BD. This cross-sectional multicenter international study assessed structural and diffusion-weighted magnetic resonance imaging data obtained from 109 subjects with BD type 1 and 103 psychiatrically healthy volunteers. Whole-brain metrics, permutation-based statistics, and connectivity of h…

AdultBipolar DisorderBipolar illnessCognitive NeuroscienceBrainHuman brainmedicine.diseaseMagnetic Resonance ImagingCellular and Molecular NeuroscienceCross-Sectional StudiesDiffusion Magnetic Resonance Imagingmedicine.anatomical_structureMoodNeuroimagingHealthy volunteersmedicineHumansOriginal ArticleBipolar disorderGraph theory analysisPsychologySubnetworkNeuroscienceCerebral Cortex
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