0000000000667534

AUTHOR

Melissa Pauling

showing 4 related works from this author

Lithium prevents grey matter atrophy in patients with bipolar disorder: an international multicenter study

2020

AbstractBackgroundLithium (Li) is the gold standard treatment for bipolar disorder (BD). However, its mechanisms of action remain unknown but include neurotrophic effects. We here investigated the influence of Li on cortical and local grey matter (GM) volumes in a large international sample of patients with BD and healthy controls (HC).MethodsWe analyzed high-resolution T1-weighted structural magnetic resonance imaging scans of 271 patients with BD type I (120 undergoing Li) and 316 HC. Cortical and local GM volumes were compared using voxel-wise approaches with voxel-based morphometry and SIENAX using FSL. We used multiple linear regression models to test the influence of Li on cortical an…

AdultMalemedicine.medical_specialtyBipolar DisorderLithium (medication)[SDV]Life Sciences [q-bio]UrologyGrey matterGyrus CinguliHippocampus03 medical and health sciences0302 clinical medicineAtrophyAntimanic AgentsmedicineHumansIn patientBipolar disorderGray MatterPathologicalApplied PsychologyComputingMilieux_MISCELLANEOUSGrey matter atrophybusiness.industryConfoundinggrey matter volumeMiddle Agedmedicine.diseaseMagnetic Resonance ImagingTemporal Lobe3. Good health030227 psychiatryPsychiatry and Mental healthmedicine.anatomical_structurelithiumCase-Control StudiesLithium CompoundsFemaleAtrophybusiness030217 neurology & neurosurgeryMRImedicine.drug
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Correction: Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals

2019

Fronto-limbic white matter (WM) abnormalities are assumed to lie at the heart of the pathophysiology of bipolar disorder (BD); however, diffusion tensor imaging (DTI) studies have reported heterogeneous results and it is not clear how the clinical heterogeneity is related to the observed differences. This study aimed to identify WM abnormalities that differentiate patients with BD from healthy controls (HC) in the largest DTI dataset of patients with BD to date, collected via the ENIGMA network. We gathered individual tensor-derived regional metrics from 26 cohorts leading to a sample size of N = 3033 (1482 BD and 1551 HC). Mean fractional anisotropy (FA) from 43 regions of interest (ROI) a…

PharmacologyAdultMaleBipolar DisorderCorrectionBrainDiagnostic markersBiologyTranslational researchmedicine.diseaseMega-White MatterCorpus CallosumWhite matterPsychiatry and Mental healthmedicine.anatomical_structureDiffusion Tensor ImagingNeural PathwaysmedicineHumansFemaleBipolar disorderClinical psychologyNeuropsychopharmacology
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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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Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals

2019

Fronto-limbic white matter (WM) abnormalities are assumed to lie at the heart of the pathophysiology of bipolar disorder (BD);\ud however, diffusion tensor imaging (DTI) studies have reported heterogeneous results and it is not clear how the clinical\ud heterogeneity is related to the observed differences. This study aimed to identify WM abnormalities that differentiate patients with\ud BD from healthy controls (HC) in the largest DTI dataset of patients with BD to date, collected via the ENIGMA network. We gathered\ud individual tensor-derived regional metrics from 26 cohorts leading to a sample size of N = 3033 (1482 BD and 1551 HC). Mean\ud fractional anisotropy (FA) from 43 regions of i…

Pathologymedicine.medical_specialtyCorpus callosumArticleWhite matter03 medical and health sciences0302 clinical medicineFractional anisotropyCingulum (brain)MedicineManic-depressive illnessBipolar disorderPharmacologyTrastorn bipolarbusiness.industryDiagnostic markersAnisotropiaTranslational researchmedicine.disease030227 psychiatryPsychiatry and Mental healthmedicine.anatomical_structureMeta-analysisAnisotropybusiness030217 neurology & neurosurgeryDiffusion MRITractography
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