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Showing 133 to 143 of 143 entries
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Towards a unified concept of individualized medicine.

Personalized medicine

Hoffmann W, Krafczyk-Korth J, Völzke H, Fendrich K, Kroemer HK.
PMID: 29783401
Per Med. 2011 Mar;8(2):111-113. doi: 10.2217/pme.11.6.

No abstract available.

Investigation of Naturally Occurring Single-Nucleotide Variants in Human TAAR1.

Frontiers in pharmacology

Mühlhaus J, Dinter J, Jyrch S, Teumer A, Jacobi SF, Homuth G, Kühnen P, Wiegand S, Grüters A, Völzke H, Raile K, Kleinau G, Krude H, Biebermann H.
PMID: 29225575
Front Pharmacol. 2017 Nov 24;8:807. doi: 10.3389/fphar.2017.00807. eCollection 2017.

Activation of trace amine-associated receptor 1 (TAAR1) in endocrine pancreas is involved in weight regulation and glucose homeostasis. The purpose of this study was the identification and characterization of potential

Deep Generative Medical Image Harmonization for Improving Cross-Site Generalization in Deep Learning Predictors.

Journal of magnetic resonance imaging : JMRI

Bashyam VM, Doshi J, Erus G, Srinivasan D, Abdulkadir A, Singh A, Habes M, Fan Y, Masters CL, Maruff P, Zhuo C, Völzke H, Johnson SC, Fripp J, Koutsouleris N, Satterthwaite TD, Wolf DH, Gur RE, Gur RC, Morris JC, Albert MS, Grabe HJ, Resnick SM, Bryan NR, Wittfeld K, Bülow R, Wolk DA, Shou H, Nasrallah IM, Davatzikos C.
PMID: 34564904
J Magn Reson Imaging. 2021 Sep 25; doi: 10.1002/jmri.27908. Epub 2021 Sep 25.

BACKGROUND: In the medical imaging domain, deep learning-based methods have yet to see widespread clinical adoption, in part due to limited generalization performance across different imaging devices and acquisition protocols. The deviation between estimated brain age and biological age...

Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years.

Human brain mapping

Dima D, Modabbernia A, Papachristou E, Doucet GE, Agartz I, Aghajani M, Akudjedu TN, Albajes-Eizagirre A, Alnaes D, Alpert KI, Andersson M, Andreasen NC, Andreassen OA, Asherson P, Banaschewski T, Bargallo N, Baumeister S, Baur-Streubel R, Bertolino A, Bonvino A, Boomsma DI, Borgwardt S, Bourque J, Brandeis D, Breier A, Brodaty H, Brouwer RM, Buitelaar JK, Busatto GF, Buckner RL, Calhoun V, Canales-Rodríguez EJ, Cannon DM, Caseras X, Castellanos FX, Cervenka S, Chaim-Avancini TM, Ching CRK, Chubar V, Clark VP, Conrod P, Conzelmann A, Crespo-Facorro B, Crivello F, Crone EA, Dannlowski U, Dale AM, Davey C, de Geus EJC, de Haan L, de Zubicaray GI, den Braber A, Dickie EW, Di Giorgio A, Doan NT, Dørum ES, Ehrlich S, Erk S, Espeseth T, Fatouros-Bergman H, Fisher SE, Fouche JP, Franke B, Frodl T, Fuentes-Claramonte P, Glahn DC, Gotlib IH, Grabe HJ, Grimm O, Groenewold NA, Grotegerd D, Gruber O, Gruner P, Gur RE, Gur RC, Hahn T, Harrison BJ, Hartman CA, Hatton SN, Heinz A, Heslenfeld DJ, Hibar DP, Hickie IB, Ho BC, Hoekstra PJ, Hohmann S, Holmes AJ, Hoogman M, Hosten N, Howells FM, Hulshoff Pol HE, Huyser C, Jahanshad N, James A, Jernigan TL, Jiang J, Jönsson EG, Joska JA, Kahn R, Kalnin A, Kanai R, Klein M, Klyushnik TP, Koenders L, Koops S, Krämer B, Kuntsi J, Lagopoulos J, Lázaro L, Lebedeva I, Lee WH, Lesch KP, Lochner C, Machielsen MWJ, Maingault S, Martin NG, Martínez-Zalacaín I, Mataix-Cols D, Mazoyer B, McDonald C, McDonald BC, McIntosh AM, McMahon KL, McPhilemy G, Meinert S, Menchón JM, Medland SE, Meyer-Lindenberg A, Naaijen J, Najt P, Nakao T, Nordvik JE, Nyberg L, Oosterlaan J, de la Foz VO, Paloyelis Y, Pauli P, Pergola G, Pomarol-Clotet E, Portella MJ, Potkin SG, Radua J, Reif A, Rinker DA, Roffman JL, Rosa PGP, Sacchet MD, Sachdev PS, Salvador R, Sánchez-Juan P, Sarró S, Satterthwaite TD, Saykin AJ, Serpa MH, Schmaal L, Schnell K, Schumann G, Sim K, Smoller JW, Sommer I, Soriano-Mas C, Stein DJ, Strike LT, Swagerman SC, Tamnes CK, Temmingh HS, Thomopoulos SI, Tomyshev AS, Tordesillas-Gutiérrez D, Trollor JN, Turner JA, Uhlmann A, van den Heuvel OA, van den Meer D, van der Wee NJA, van Haren NEM, Van't Ent D, van Erp TGM, Veer IM, Veltman DJ, Voineskos A, Völzke H, Walter H, Walton E, Wang L, Wang Y, Wassink TH, Weber B, Wen W, West JD, Westlye LT, Whalley H, Wierenga LM, Williams SCR, Wittfeld K, Wolf DH, Worker A, Wright MJ, Yang K, Yoncheva Y, Zanetti MV, Ziegler GC, Thompson PM, Frangou S.
PMID: 33570244
Hum Brain Mapp. 2022 Jan;43(1):452-469. doi: 10.1002/hbm.25320. Epub 2021 Feb 11.

Age has a major effect on brain volume. However, the normative studies available are constrained by small sample sizes, restricted age coverage and significant methodological variability. These limitations introduce inconsistencies and may obscure or distort the lifespan trajectories of...

Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years.

Human brain mapping

Frangou S, Modabbernia A, Williams SCR, Papachristou E, Doucet GE, Agartz I, Aghajani M, Akudjedu TN, Albajes-Eizagirre A, Alnaes D, Alpert KI, Andersson M, Andreasen NC, Andreassen OA, Asherson P, Banaschewski T, Bargallo N, Baumeister S, Baur-Streubel R, Bertolino A, Bonvino A, Boomsma DI, Borgwardt S, Bourque J, Brandeis D, Breier A, Brodaty H, Brouwer RM, Buitelaar JK, Busatto GF, Buckner RL, Calhoun V, Canales-Rodríguez EJ, Cannon DM, Caseras X, Castellanos FX, Cervenka S, Chaim-Avancini TM, Ching CRK, Chubar V, Clark VP, Conrod P, Conzelmann A, Crespo-Facorro B, Crivello F, Crone EA, Dale AM, Dannlowski U, Davey C, de Geus EJC, de Haan L, de Zubicaray GI, den Braber A, Dickie EW, Di Giorgio A, Doan NT, Dørum ES, Ehrlich S, Erk S, Espeseth T, Fatouros-Bergman H, Fisher SE, Fouche JP, Franke B, Frodl T, Fuentes-Claramonte P, Glahn DC, Gotlib IH, Grabe HJ, Grimm O, Groenewold NA, Grotegerd D, Gruber O, Gruner P, Gur RE, Gur RC, Hahn T, Harrison BJ, Hartman CA, Hatton SN, Heinz A, Heslenfeld DJ, Hibar DP, Hickie IB, Ho BC, Hoekstra PJ, Hohmann S, Holmes AJ, Hoogman M, Hosten N, Howells FM, Hulshoff Pol HE, Huyser C, Jahanshad N, James A, Jernigan TL, Jiang J, Jönsson EG, Joska JA, Kahn R, Kalnin A, Kanai R, Klein M, Klyushnik TP, Koenders L, Koops S, Krämer B, Kuntsi J, Lagopoulos J, Lázaro L, Lebedeva I, Lee WH, Lesch KP, Lochner C, Machielsen MWJ, Maingault S, Martin NG, Martínez-Zalacaín I, Mataix-Cols D, Mazoyer B, McDonald C, McDonald BC, McIntosh AM, McMahon KL, McPhilemy G, Meinert S, Menchón JM, Medland SE, Meyer-Lindenberg A, Naaijen J, Najt P, Nakao T, Nordvik JE, Nyberg L, Oosterlaan J, de la Foz VO, Paloyelis Y, Pauli P, Pergola G, Pomarol-Clotet E, Portella MJ, Potkin SG, Radua J, Reif A, Rinker DA, Roffman JL, Rosa PGP, Sacchet MD, Sachdev PS, Salvador R, Sánchez-Juan P, Sarró S, Satterthwaite TD, Saykin AJ, Serpa MH, Schmaal L, Schnell K, Schumann G, Sim K, Smoller JW, Sommer I, Soriano-Mas C, Stein DJ, Strike LT, Swagerman SC, Tamnes CK, Temmingh HS, Thomopoulos SI, Tomyshev AS, Tordesillas-Gutiérrez D, Trollor JN, Turner JA, Uhlmann A, van den Heuvel OA, van den Meer D, van der Wee NJA, van Haren NEM, van 't Ent D, van Erp TGM, Veer IM, Veltman DJ, Voineskos A, Völzke H, Walter H, Walton E, Wang L, Wang Y, Wassink TH, Weber B, Wen W, West JD, Westlye LT, Whalley H, Wierenga LM, Wittfeld K, Wolf DH, Worker A, Wright MJ, Yang K, Yoncheva Y, Zanetti MV, Ziegler GC, Thompson PM, Dima D.
PMID: 33595143
Hum Brain Mapp. 2021 Feb 17; doi: 10.1002/hbm.25364. Epub 2021 Feb 17.

Delineating the association of age and cortical thickness in healthy individuals is critical given the association of cortical thickness with cognition and behavior. Previous research has shown that robust estimates of the association between age and brain morphometry require...

Association of glycated hemoglobin A.

Cardiovascular diabetology

Sinning C, Makarova N, Völzke H, Schnabel RB, Ojeda F, Dörr M, Felix SB, Koenig W, Peters A, Rathmann W, Schöttker B, Brenner H, Veronesi G, Cesana G, Brambilla P, Palosaari T, Kuulasmaa K, Njølstad I, Mathiesen EB, Wilsgaard T, Blankenberg S, Söderberg S, Ferrario MM, Thorand B.
PMID: 34781939
Cardiovasc Diabetol. 2021 Nov 15;20(1):223. doi: 10.1186/s12933-021-01413-4.

BACKGROUND: Biomarkers may contribute to improved cardiovascular risk estimation. Glycated hemoglobin AMETHODS: Data from six prospective population-based cohort studies across Europe comprising 36,180 participants were analyzed. HbARESULTS: Kaplan-Meier curves showed higher event rates with increasing HbACONCLUSIONS: HbA

A metabolome-wide association study in the general population reveals decreased levels of serum laurylcarnitine in people with depression.

Molecular psychiatry

Zacharias HU, Hertel J, Johar H, Pietzner M, Lukaschek K, Atasoy S, Kunze S, Völzke H, Nauck M, Friedrich N, Kastenmüller G, Grabe HJ, Gieger C, Krumsiek J, Ladwig KH.
PMID: 34088979
Mol Psychiatry. 2021 Jun 04; doi: 10.1038/s41380-021-01176-0. Epub 2021 Jun 04.

Depression constitutes a leading cause of disability worldwide. Despite extensive research on its interaction with psychobiological factors, associated pathways are far from being elucidated. Metabolomics, assessing the final products of complex biochemical reactions, has emerged as a valuable tool...

Associations of carotid intima media thickness with gene expression in whole blood and genetically predicted gene expression across 48 tissues.

Human molecular genetics

Castaneda AB, Petty LE, Scholz M, Jansen R, Weiss S, Zhang X, Schramm K, Beutner F, Kirsten H, Schminke U, Hwang SJ, Marzi C, Dhana K, Seldenrijk A, Krohn K, Homuth G, Wolf P, Peters MJ, Dörr M, Peters A, van Meurs JBJ, Uitterlinden AG, Kavousi M, Levy D, Herder C, Grootheest G, Waldenberger M, Meisinger C, Rathmann W, Thiery J, Polak J, Koenig W, Seissler J, Bis JC, Franceshini N, Giambartolomei C, Hofman A, Franco OH, Penninx BWJH, Prokisch H, Völzke H, Loeffler M, O'Donnell CJ, Below JE, Dehghan A, de Vries PS.
PMID: 34788810
Hum Mol Genet. 2021 Nov 12; doi: 10.1093/hmg/ddab236. Epub 2021 Nov 12.

Carotid intima media thickness (cIMT) is a biomarker of subclinical atherosclerosis and a predictor of future cardiovascular events. Identifying associations between gene expression levels and cIMT may provide insight to atherosclerosis etiology. Here, we use two approaches to identify...

An uncertainty-aware, shareable, and transparent neural network architecture for brain-age modeling.

Science advances

Hahn T, Ernsting J, Winter NR, Holstein V, Leenings R, Beisemann M, Fisch L, Sarink K, Emden D, Opel N, Redlich R, Repple J, Grotegerd D, Meinert S, Hirsch JG, Niendorf T, Endemann B, Bamberg F, Kröncke T, Bülow R, Völzke H, von Stackelberg O, Sowade RF, Umutlu L, Schmidt B, Caspers S, Kugel H, Kircher T, Risse B, Gaser C, Cole JH, Dannlowski U, Berger K.
PMID: 34985964
Sci Adv. 2022 Jan 07;8(1):eabg9471. doi: 10.1126/sciadv.abg9471. Epub 2022 Jan 05.

[Figure: see text].

Associations of carotid intima media thickness with gene expression in whole blood and genetically predicted gene expression across 48 tissues.

Human molecular genetics

Castaneda AB, Petty LE, Scholz M, Jansen R, Weiss S, Zhang X, Schramm K, Beutner F, Kirsten H, Schminke U, Hwang SJ, Marzi C, Dhana K, Seldenrijk A, Krohn K, Homuth G, Wolf P, Peters MJ, Dörr M, Peters A, van Meurs JBJ, Uitterlinden AG, Kavousi M, Levy D, Herder C, Grootheest G, Waldenberger M, Meisinger C, Rathmann W, Thiery J, Polak J, Koenig W, Seissler J, Bis JC, Franceshini N, Giambartolomei C, Hofman A, Franco OH, Penninx BWJH, Prokisch H, Völzke H, Loeffler M, O'Donnell CJ, Below JE, Dehghan A, de Vries PS.
PMID: 34788810
Hum Mol Genet. 2021 Nov 12; doi: 10.1093/hmg/ddab236. Epub 2021 Nov 12.

Carotid intima media thickness (cIMT) is a biomarker of subclinical atherosclerosis and a predictor of future cardiovascular events. Identifying associations between gene expression levels and cIMT may provide insight to atherosclerosis etiology. Here, we use two approaches to identify...

Comments and suggestions on fundamental principles of radiation protection.

Radiation and environmental biophysics

Völkle H, Michel R, Lorenz B.
PMID: 34471974
Radiat Environ Biophys. 2021 Nov;60(4):511-514. doi: 10.1007/s00411-021-00937-3. Epub 2021 Sep 01.

No abstract available.

Showing 133 to 143 of 143 entries