2023
Examining the association between posttraumatic stress disorder and disruptions in cortical networks identified using data-driven methods
Yang J, Huggins A, Sun D, Baird C, Haswell C, Frijling J, Olff M, van Zuiden M, Koch S, Nawijn L, Veltman D, Suarez-Jimenez B, Zhu X, Neria Y, Hudson A, Mueller S, Baker J, Lebois L, Kaufman M, Qi R, Lu G, Říha P, Rektor I, Dennis E, Ching C, Thomopoulos S, Salminen L, Jahanshad N, Thompson P, Stein D, Koopowitz S, Ipser J, Seedat S, du Plessis S, van den Heuvel L, Wang L, Zhu Y, Li G, Sierk A, Manthey A, Walter H, Daniels J, Schmahl C, Herzog J, Liberzon I, King A, Angstadt M, Davenport N, Sponheim S, Disner S, Straube T, Hofmann D, Grupe D, Nitschke J, Davidson R, Larson C, deRoon-Cassini T, Blackford J, Olatunji B, Gordon E, May G, Nelson S, Abdallah C, Levy I, Harpaz-Rotem I, Krystal J, Morey R, Sotiras A. Examining the association between posttraumatic stress disorder and disruptions in cortical networks identified using data-driven methods. Neuropsychopharmacology 2023, 49: 609-619. PMID: 38017161, PMCID: PMC10789873, DOI: 10.1038/s41386-023-01763-5.Peer-Reviewed Original ResearchPosttraumatic stress disorderStructural covariance networksCortical thicknessPTSD diagnosisInsular cortexPTSD patientsCingulate cortexSymptom severityBilateral superior frontal cortexStress disorderGreater cortical thicknessLower cortical thicknessChildhood trauma severitySuperior frontal cortexRegression analysisAnterior cingulate cortexTrauma-exposed controlsPosterior cingulate cortexPrefrontal regulatory regionsPTSD symptom severityComorbid depressionMotor cortexHealthy controlsFrontal cortexAlcohol abuse
2022
Cortical profiles of numerous psychiatric disorders and normal development share a common pattern
Cao Z, Cupertino R, Ottino-Gonzalez J, Murphy A, Pancholi D, Juliano A, Chaarani B, Albaugh M, Yuan D, Schwab N, Stafford J, Goudriaan A, Hutchison K, Li C, Luijten M, Groefsema M, Momenan R, Schmaal L, Sinha R, van Holst R, Veltman D, Wiers R, Porjesz B, Lett T, Banaschewski T, Bokde A, Desrivières S, Flor H, Grigis A, Gowland P, Heinz A, Brühl R, Martinot J, Martinot M, Artiges E, Nees F, Orfanos D, Paus T, Poustka L, Hohmann S, Millenet S, Fröhner J, Robinson L, Smolka M, Walter H, Winterer J, Schumann G, Whelan R, Bhatt R, Zhu A, Conrod P, Jahanshad N, Thompson P, Mackey S, Garavan H. Cortical profiles of numerous psychiatric disorders and normal development share a common pattern. Molecular Psychiatry 2022, 28: 698-709. PMID: 36380235, DOI: 10.1038/s41380-022-01855-6.Peer-Reviewed Original ResearchConceptsCortical thicknessPsychiatric disordersNumerous psychiatric disordersNeurological disordersDesikan-Killiany atlasLower cortical thicknessNormative maturationAllen Human Brain AtlasHealthy adult participantsCortical maturationExpression of PC1Cortical changesEmergence of psychopathologyBrain maturationPsychiatric diseasesMultiple gene ontology categoriesHuman Brain AtlasCortical profilesPubertal transitionCT differencesDisordersLate childhoodABCD studyAdult participantsNeurobiological basis
2020
What we learn about bipolar disorder from large‐scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group
Ching CRK, Hibar DP, Gurholt TP, Nunes A, Thomopoulos SI, Abé C, Agartz I, Brouwer RM, Cannon DM, de Zwarte S, Eyler LT, Favre P, Hajek T, Haukvik UK, Houenou J, Landén M, Lett TA, McDonald C, Nabulsi L, Patel Y, Pauling ME, Paus T, Radua J, Soeiro‐de‐Souza M, Tronchin G, van Haren N, Vieta E, Walter H, Zeng L, Alda M, Almeida J, Alnæs D, Alonso‐Lana S, Altimus C, Bauer M, Baune BT, Bearden CE, Bellani M, Benedetti F, Berk M, Bilderbeck AC, Blumberg HP, Bøen E, Bollettini I, del Mar Bonnin C, Brambilla P, Canales‐Rodríguez E, Caseras X, Dandash O, Dannlowski U, Delvecchio G, Díaz‐Zuluaga A, Dima D, Duchesnay É, Elvsåshagen T, Fears SC, Frangou S, Fullerton JM, Glahn DC, Goikolea JM, Green MJ, Grotegerd D, Gruber O, Haarman BCM, Henry C, Howells FM, Ives‐Deliperi V, Jansen A, Kircher TTJ, Knöchel C, Kramer B, Lafer B, López‐Jaramillo C, Machado‐Vieira R, MacIntosh BJ, Melloni EMT, Mitchell PB, Nenadic I, Nery F, Nugent AC, Oertel V, Ophoff RA, Ota M, Overs BJ, Pham DL, Phillips ML, Pineda‐Zapata J, Poletti S, Polosan M, Pomarol‐Clotet E, Pouchon A, Quidé Y, Rive MM, Roberts G, Ruhe HG, Salvador R, Sarró S, Satterthwaite TD, Schene AH, Sim K, Soares JC, Stäblein M, Stein DJ, Tamnes CK, Thomaidis GV, Upegui CV, Veltman DJ, Wessa M, Westlye LT, Whalley HC, Wolf DH, Wu M, Yatham LN, Zarate CA, Thompson PM, Andreassen OA, Group E. What we learn about bipolar disorder from large‐scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group. Human Brain Mapping 2020, 43: 56-82. PMID: 32725849, PMCID: PMC8675426, DOI: 10.1002/hbm.25098.Peer-Reviewed Original ResearchConceptsStudies of BDBipolar disorderClinical risk profileLower cortical thicknessMultimodal brain MRIFuture hypothesis-driven studiesWhite matter integrityWorking GroupCommon medicationsPathophysiological mechanismsEnhancing Neuro Imaging GeneticsBrain alterationsBrain MRICortical thicknessSubcortical volumesSymptom patternsMental illnessRisk profileBrain measuresGroup studyHypothesis-driven studiesConsensus findingsPool dataBrain variationMRI
2019
Type 2 diabetes mellitus, brain atrophy, and cognitive decline.
Moran C, Beare R, Wang W, Callisaya M, Srikanth V, Weiner M, Aisen P, Weiner M, Aisen P, Petersen R, Jack C, Jagust W, Trojanowki J, Toga A, Beckett L, Green R, Saykin A, Morris J, Liu E, Green R, Montine T, Petersen R, Aisen P, Gamst A, Thomas R, Donohue M, Walter S, Gessert D, Sather T, Beckett L, Harvey D, Gamst A, Donohue M, Kornak J, Jack C, Dale A, Bernstein M, Felmlee J, Fox N, Thompson P, Schuff N, Alexander G, DeCarli C, Jagust W, Bandy D, Koeppe R, Foster N, Reiman E, Chen K, Mathis C, Morris J, Cairns N, Taylor-Reinwald L, Trojanowki J, Shaw L, Lee V, Korecka M, Toga A, Crawford K, Neu S, Saykin A, Foroud T, Potkin S, Shen L, Kachaturian Z, Frank R, Snyder P, Molchan S, Kaye J, Quinn J, Lind B, Dolen S, Schneider L, Pawluczyk S, Spann B, Brewer J, Vanderswag H, Heidebrink J, Lord J, Petersen R, Johnson K, Doody R, Villanueva-Meyer J, Chowdhury M, Stern Y, Honig L, Bell K, Morris J, Ances B, Carroll M, Leon S, Mintun M, Schneider S, Marson D, Griffith R, Clark D, Grossman H, Mitsis E, Romirowsky A, deToledo-Morrell L, Shah R, Duara R, Varon D, Roberts P, Albert M, Onyike C, Kielb S, Rusinek H, de Leon M, Glodzik L, De Santi S, Doraiswamy P, Petrella J, Coleman R, Arnold S, Karlawish J, Wolk D, Smith C, Jicha G, Hardy P, Lopez O, Oakley M, Simpson D, Porsteinsson A, Goldstein B, Martin K, Makino K, Ismail M, Brand C, Mulnard R, Thai G, McAdams-Ortiz C, Womack K, Mathews D, Quiceno M, Diaz-Arrastia R, King R, Weiner M, Martin-Cook K, DeVous M, Levey A, Lah J, Cellar J, Burns J, Anderson H, Swerdlow R, Apostolova L, Lu P, Bartzokis G, Silverman D, Graff-Radford N, Parfitt F, Johnson H, Farlow M, Hake A, Matthews B, Herring S, van Dyck C, Carson R, MacAvoy M, Chertkow H, Bergman H, Hosein C, Black S, Stefanovic B, Caldwell C, Robin Hsiung G, Feldman H, Mudge B, Assaly M, Kertesz A, Rogers J, Trost D, Bernick C, Munic D, Kerwin D, Mesulam M, Lipowski K, Wu C, Johnson N, Sadowsky C, Martinez W, Villena T, Turner R, Johnson K, Reynolds B, Sperling R, Johnson K, Marshall G, Frey M, Yesavage J, Taylor J, Lane B, Rosen A, Tinklenberg J, Sabbagh M, Belden C, Jacobson S, Kowall N, Killiany R, Budson A, Norbash A, Johnson P, Obisesan T, Wolday S, Bwayo S, Lerner A, Hudson L, Ogrocki P, Fletcher E, Carmichael O, Olichney J, DeCarli C, Kittur S, Borrie M, Lee T, Bartha D, Johnson S, Asthana S, Carlsson C, Potkin S, Preda A, Nguyen D, Tariot P, Fleisher A, Reeder S, Bates V, Capote H, Rainka M, Scharre D, Kataki M, Zimmerman E, Celmins D, Brown A, Pearlson G, Blank K, Anderson K, Saykin A, Santulli R, Schwartz E, Sink K, Williamson J, Garg P, Watkins F, Ott B, Querfurth H, Tremont G, Salloway S, Malloy P, Correia S, Rosen H, Miller B, Mintzer J, Longmire C, Spicer K, Finger E, Rachinsky I, Rogers J, Kertesz A, Drost D, Pomara N, Hernando R, Sarrael A, Schultz S, Boles Ponto L, Shim H, Smith K, Relkin N, Chaing G, Raudin L, Smith A, Fargher K, Raj B. Type 2 diabetes mellitus, brain atrophy, and cognitive decline. Neurology 2019, 92: e823-e830. PMID: 30674592, PMCID: PMC7987953, DOI: 10.1212/wnl.0000000000006955.Peer-Reviewed Original ResearchConceptsBaseline cortical thicknessType 2 diabetes mellitusCortical thicknessCognitive declineAlzheimer's diseaseCognitive functionDiabetes mellitusCerebrovascular disease burdenGlucose-lowering agentsPresence of T2DMLower cortical thicknessLongitudinal relationshipAlzheimer's Disease Neuroimaging Initiative (ADNI) cohortMild cognitive impairmentStudy entryBrain atrophyBlood glucoseDisease burdenInitiative cohortT2DMBrain MRICognitive impairmentNormal cognitionRelevant covariatesOlder people
2016
Grey Matter Microstructural Integrity Alterations in Blepharospasm Are Partially Reversed by Botulinum Neurotoxin Therapy
Alexandru H, Muthuraman M, Chirumamilla V, Koirala N, Paktas B, Deuschl G, Zeuner K, Groppa S. Grey Matter Microstructural Integrity Alterations in Blepharospasm Are Partially Reversed by Botulinum Neurotoxin Therapy. PLOS ONE 2016, 11: e0168652. PMID: 27992533, PMCID: PMC5161386, DOI: 10.1371/journal.pone.0168652.Peer-Reviewed Original ResearchConceptsBenign essential blepharospasmHemifacial spasmBoNT therapyCortical thicknessBEB patientsHealthy controlsTemporal poleCommon hyperkinetic movement disordersStandard evidence-based treatmentGroup of patientsBotulinum neurotoxin therapyHyperkinetic movement disordersPrimary motor cortexDifferent pathophysiological mechanismsLower cortical thicknessEvidence-based treatmentsFacial musclesPre-supplementary motor areaRight superior frontal regionsGroup of ageLeft lingual gyrusSuperior frontal regionsGray matter integrityContrary patientsNeurotoxin therapy
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