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Showing 1 to 12 of 213 entries
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Information-Theoretic Characterization of Blood Panel Predictors for Brain Atrophy and Cognitive Decline in the Elderly.

Proceedings. IEEE International Symposium on Biomedical Imaging

Madsen SK, Ver Steeg G, Mezher A, Jahanshad N, Nir TM, Hua X, Gutman BA, Galstyan A, Thompson PM.
PMID: 26413208
Proc IEEE Int Symp Biomed Imaging. 2015 Apr;2015:980-984. doi: 10.1109/ISBI.2015.7164035.

Cognitive decline in old age is tightly linked with brain atrophy, causing significant burden. It is critical to identify which biomarkers are most predictive of cognitive decline and brain atrophy in the elderly. In 566 older adults from the...

Response to Dr Fried & Dr Kievit, and Dr Malhi et al.

Molecular psychiatry

Schmaal L, Veltman DJ, van Erp TG, Sämann PG, Frodl T, Jahanshad N, Loehrer E, Vernooij MW, Niessen WJ, Ikram MA, Wittfeld K, Grabe HJ, Block A, Hegenscheid K, Hoehn D, Czisch M, Lagopoulos J, Hatton SN, Hickie IB, Goya-Maldonado R, Krämer B, Gruber O, Couvy-Duchesne B, Rentería ME, Strike LT, Wright MJ, de Zubicaray GI, McMahon KL, Medland SE, Gillespie NA, Hall GB, van Velzen LS, van Tol MJ, van der Wee NJ, Veer IM, Walter H, Schramm E, Normann C, Schoepf D, Konrad C, Zurowski B, McIntosh AM, Whalley HC, Sussmann JE, Godlewska BR, Fischer FH, Penninx BW, Thompson PM, Hibar DP.
PMID: 26903270
Mol Psychiatry. 2016 Jun;21(6):726-8. doi: 10.1038/mp.2016.9. Epub 2016 Feb 23.

No abstract available.

DEVELOPMENT OF THE "RICH CLUB" IN BRAIN CONNECTIVITY NETWORKS FROM 438 ADOLESCENTS & ADULTS AGED 12 TO 30.

Proceedings. IEEE International Symposium on Biomedical Imaging

Dennis EL, Jahanshad N, Toga AW, McMahon KL, de Zubicaray GI, Hickie I, Wright MJ, Thompson PM.
PMID: 24827471
Proc IEEE Int Symp Biomed Imaging. 2013;624-627. doi: 10.1109/ISBI.2013.6556552.

The 'rich club' coefficient describes a phenomenon where a network's hubs (high-degree nodes) are on average more intensely interconnected than lower-degree nodes. Networks with rich clubs often have an efficient, higher-order organization, but we do not yet know how...

Impact of family structure and common environment on heritability estimation for neuroimaging genetics studies using Sequential Oligogenic Linkage Analysis Routines.

Journal of medical imaging (Bellingham, Wash.)

Koran ME, Thornton-Wells TA, Jahanshad N, Glahn DC, Thompson PM, Blangero J, Nichols TE, Kochunov P, Landman BA.
PMID: 25558465
J Med Imaging (Bellingham). 2014 Jun 27;1(1):014005. doi: 10.1117/1.JMI.1.1.014005.

Imaging genetics is an emerging methodological field that combines genetic information with medical imaging-derived metrics to understand how genetic factors impact observable phenotypes. In order for a trait to be a reasonable phenotype in an imaging genetics study, it...

A proposed grading system for post-intubation tracheal stenosis.

Tanaffos

Ghorbani A, Dezfouli AA, Shadmehr MB, Pejhan S, Saghebi SR, Ghare-Daghi AS, Farzanegan R, Jahanshahi N.
PMID: 25191422
Tanaffos. 2012;11(3):10-4.

BACKGROUND: Tracheal stenosis is still a serious consequence of endotracheal intubation. Previous classification systems are commonly descriptive and are not intended to deal with management approach. The aim of this study was to present a classification system for post...

Correction: Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology

Favre P, Pauling M, Stout J, Hozer F, Sarrazin S, Abé C, Alda M, Alloza C, Alonso-Lana S, Andreassen OA, Baune BT, Benedetti F, Busatto GF, Canales-Rodríguez EJ, Caseras X, Chaim-Avancini TM, Ching CRK, Dannlowski U, Deppe M, Eyler LT, Fatjo-Vilas M, Foley SF, Grotegerd D, Hajek T, Haukvik UK, Howells FM, Jahanshad N, Kugel H, Lagerberg TV, Lawrie SM, Linke JO, McIntosh A, Melloni EMT, Mitchell PB, Polosan M, Pomarol-Clotet E, Repple J, Roberts G, Roos A, Rosa PGP, Salvador R, Sarró S, Schofield PR, Serpa MH, Sim K, Stein DJ, Sussmann JE, Temmingh HS, Thompson PM, Verdolini N, Vieta E, Wessa M, Whalley HC, Zanetti MV, Leboyer M, Mangin JF, Henry C, Duchesnay E, Houenou J.
PMID: 31527792
Neuropsychopharmacology. 2019 Dec;44(13):2298. doi: 10.1038/s41386-019-0521-6.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

The ENIGMA-Epilepsy working group: Mapping disease from large data sets.

Human brain mapping

Sisodiya SM, Whelan CD, Hatton SN, Huynh K, Altmann A, Ryten M, Vezzani A, Caligiuri ME, Labate A, Gambardella A, Ives-Deliperi V, Meletti S, Munsell BC, Bonilha L, Tondelli M, Rebsamen M, Rummel C, Vaudano AE, Wiest R, Balachandra AR, Bargalló N, Bartolini E, Bernasconi A, Bernasconi N, Bernhardt B, Caldairou B, Carr SJA, Cavalleri GL, Cendes F, Concha L, Desmond PM, Domin M, Duncan JS, Focke NK, Guerrini R, Hamandi K, Jackson GD, Jahanshad N, Kälviäinen R, Keller SS, Kochunov P, Kowalczyk MA, Kreilkamp BAK, Kwan P, Lariviere S, Lenge M, Lopez SM, Martin P, Mascalchi M, Moreira JCV, Morita-Sherman ME, Pardoe HR, Pariente JC, Raviteja K, Rocha CS, Rodríguez-Cruces R, Seeck M, Semmelroch MKHG, Sinclair B, Soltanian-Zadeh H, Stein DJ, Striano P, Taylor PN, Thomas RH, Thomopoulos SI, Velakoulis D, Vivash L, Weber B, Yasuda CL, Zhang J, Thompson PM, McDonald CR.
PMID: 32468614
Hum Brain Mapp. 2020 May 29; doi: 10.1002/hbm.25037. Epub 2020 May 29.

Epilepsy is a common and serious neurological disorder, with many different constituent conditions characterized by their electro clinical, imaging, and genetic features. MRI has been fundamental in advancing our understanding of brain processes in the epilepsies. Smaller-scale studies have...

Separating Clinical and Subclinical Depression by Big Data Informed Structural Vulnerability Index and Its impact on Cognition: ENIGMA Dot Product.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

Kochunov P, Ma Y, Hatch KS, Schmaal L, Jahanshad N, Thompson PM, Adhikari BM, Bruce H, Chiappelli J, Van der Vaart A, Goldwaser EL, Sotiras A, Ma T, Chen S, Nichols TE, Hong LE.
PMID: 34890143
Pac Symp Biocomput. 2022;27:133-143.

Big Data neuroimaging collaborations including Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) integrated worldwide data to identify regional brain deficits in major depressive disorder (MDD). We evaluated the sensitivity of translating ENIGMA-defined MDD deficit patterns to the individual level....

Global and Regional Development of the Human Cerebral Cortex: Molecular Architecture and Occupational Aptitudes.

Cerebral cortex (New York, N.Y. : 1991)

Shin J, Ma S, Hofer E, Patel Y, Vosberg DE, Tilley S, Roshchupkin GV, Sousa AMM, Jian X, Gottesman R, Mosley TH, Fornage M, Saba Y, Pirpamer L, Schmidt R, Schmidt H, Carrion-Castillo A, Crivello F, Mazoyer B, Bis JC, Li S, Yang Q, Luciano M, Karama S, Lewis L, Bastin ME, Harris MA, Wardlaw JM, Deary IE, Scholz M, Loeffler M, Witte AV, Beyer F, Villringer A, Armstrong NJ, Mather KA, Ames D, Jiang J, Kwok JB, Schofield PR, Thalamuthu A, Trollor JN, Wright MJ, Brodaty H, Wen W, Sachdev PS, Terzikhan N, Evans TE, Adams HHHH, Ikram MA, Frenzel S, Auwera-Palitschka SV, Wittfeld K, Bülow R, Grabe HJ, Tzourio C, Mishra A, Maingault S, Debette S, Gillespie NA, Franz CE, Kremen WS, Ding L, Jahanshad N, Sestan N, Pausova Z, Seshadri S, Paus T.
PMID: 32198502
Cereb Cortex. 2020 Jun 01;30(7):4121-4139. doi: 10.1093/cercor/bhaa035.

We have carried out meta-analyses of genome-wide association studies (GWAS) (n = 23 784) of the first two principal components (PCs) that group together cortical regions with shared variance in their surface area. PC1 (global) captured variations of most...

Mapping brain asymmetry in health and disease through the ENIGMA consortium.

Human brain mapping

Kong XZ, Postema MC, Guadalupe T, de Kovel C, Boedhoe PSW, Hoogman M, Mathias SR, van Rooij D, Schijven D, Glahn DC, Medland SE, Jahanshad N, Thomopoulos SI, Turner JA, Buitelaar J, van Erp TGM, Franke B, Fisher SE, van den Heuvel OA, Schmaal L, Thompson PM, Francks C.
PMID: 32420672
Hum Brain Mapp. 2022 Jan;43(1):167-181. doi: 10.1002/hbm.25033. Epub 2020 May 18.

Left-right asymmetry of the human brain is one of its cardinal features, and also a complex, multivariate trait. Decades of research have suggested that brain asymmetry may be altered in psychiatric disorders. However, findings have been inconsistent and often...

Subcortical shape alterations in major depressive disorder: Findings from the ENIGMA major depressive disorder working group.

Human brain mapping

Ho TC, Gutman B, Pozzi E, Grabe HJ, Hosten N, Wittfeld K, Völzke H, Baune B, Dannlowski U, Förster K, Grotegerd D, Redlich R, Jansen A, Kircher T, Krug A, Meinert S, Nenadic I, Opel N, Dinga R, Veltman DJ, Schnell K, Veer I, Walter H, Gotlib IH, Sacchet MD, Aleman A, Groenewold NA, Stein DJ, Li M, Walter M, Ching CRK, Jahanshad N, Ragothaman A, Isaev D, Zavaliangos-Petropulu A, Thompson PM, Sämann PG, Schmaal L.
PMID: 32198905
Hum Brain Mapp. 2022 Jan;43(1):341-351. doi: 10.1002/hbm.24988. Epub 2020 Mar 21.

Alterations in regional subcortical brain volumes have been investigated as part of the efforts of an international consortium, ENIGMA, to identify reliable neural correlates of major depressive disorder (MDD). Given that subcortical structures are comprised of distinct subfields, we...

Consortium neuroscience of attention deficit/hyperactivity disorder and autism spectrum disorder: The ENIGMA adventure.

Human brain mapping

Hoogman M, van Rooij D, Klein M, Boedhoe P, Ilioska I, Li T, Patel Y, Postema MC, Zhang-James Y, Anagnostou E, Arango C, Auzias G, Banaschewski T, Bau CHD, Behrmann M, Bellgrove MA, Brandeis D, Brem S, Busatto GF, Calderoni S, Calvo R, Castellanos FX, Coghill D, Conzelmann A, Daly E, Deruelle C, Dinstein I, Durston S, Ecker C, Ehrlich S, Epstein JN, Fair DA, Fitzgerald J, Freitag CM, Frodl T, Gallagher L, Grevet EH, Haavik J, Hoekstra PJ, Janssen J, Karkashadze G, King JA, Konrad K, Kuntsi J, Lazaro L, Lerch JP, Lesch KP, Louza MR, Luna B, Mattos P, McGrath J, Muratori F, Murphy C, Nigg JT, Oberwelland-Weiss E, O'Gorman Tuura RL, O'Hearn K, Oosterlaan J, Parellada M, Pauli P, Plessen KJ, Ramos-Quiroga JA, Reif A, Reneman L, Retico A, Rosa PGP, Rubia K, Shaw P, Silk TJ, Tamm L, Vilarroya O, Walitza S, Jahanshad N, Faraone SV, Francks C, van den Heuvel OA, Paus T, Thompson PM, Buitelaar JK, Franke B.
PMID: 32420680
Hum Brain Mapp. 2022 Jan;43(1):37-55. doi: 10.1002/hbm.25029. Epub 2020 May 18.

Neuroimaging has been extensively used to study brain structure and function in individuals with attention deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) over the past decades. Two of the main shortcomings of the neuroimaging literature of these disorders...

Showing 1 to 12 of 213 entries