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Wittfeld, K.
310  Ergebnisse:
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1

P-101 Exploring the dynamics between brain and heart in the..:

Krause, E. ; Wittfeld, K. ; Vollmer, M....
Clinical Neurophysiology.  148 (2023)  - p. e54 , 2023
Link: https://doi.org/10.1016/..
 
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2

Prediabetes is associated with lower brain gray matter volu..:

Markus, M.R.P. ; Ittermann, T. ; Wittfeld, K....
Nutrition, Metabolism and Cardiovascular Diseases.  27 (2017)  12 - p. 1114-1122 , 2017
Link: https://doi.org/10.1016/..
 
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3

Subcortical brain structure and suicidal behaviour in major..:

Rentería, M E ; Schmaal, L ; Hibar, D P...
Translational Psychiatry.  7 (2017)  5 - p. e1116-e1116 , 2017
Link: https://doi.org/10.1038/..
 
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Advanced brain aging: relationship with epidemiologic and g..:

Habes, M ; Janowitz, D ; Erus, G...
Translational Psychiatry.  6 (2016)  4 - p. e775-e775 , 2016
Link: https://doi.org/10.1038/..
 
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5

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

for the ENIGMA-Major Depressive Disorder Working Group ; Schmaal, L ; Veltman, D J...
Molecular Psychiatry.  21 (2016)  6 - p. 726-728 , 2016
Link: https://doi.org/10.1038/..
 
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6

Cortical abnormalities in adults and adolescents with major..:

for the ENIGMA-Major Depressive Disorder Working Group ; Schmaal, L ; Hibar, D P...
Molecular Psychiatry.  22 (2016)  6 - p. 900-909 , 2016
Link: https://doi.org/10.1038/..
 
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P.2.b.017 Structural brain alterations in major depression:..:

Schmaal, L. ; Veltman, D.J ; Van Erp, T.G...
European Neuropsychopharmacology.  25 (2015)  - p. S394-S395 , 2015
Link: https://doi.org/10.1016/..
 
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8

Subcortical brain alterations in major depressive disorder:..:

for the ENIGMA-Major Depressive Disorder Working Group ; Schmaal, L ; Veltman, D J...
Molecular Psychiatry.  21 (2015)  6 - p. 806-812 , 2015
Link: https://doi.org/10.1038/..
 
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9

BDNF Val66Met polymorphism and hippocampal volume in neurop..:

Harrisberger, F. ; Smieskova, R. ; Schmidt, A....
Neuroscience & Biobehavioral Reviews.  55 (2015)  - p. 107-118 , 2015
Link: https://doi.org/10.1016/..
 
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10

Genetic, psychosocial and clinical factors associated with ..:

Janowitz, D ; Schwahn, C ; Borchardt, U...
Translational Psychiatry.  4 (2014)  10 - p. e465-e465 , 2014
Link: https://doi.org/10.1038/..
 
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11

A genome‐wide search for quantitative trait loci affecting ..:

Cai, D.‐C. ; Fonteijn, H. ; Guadalupe, T....
Genes, Brain and Behavior.  13 (2014)  7 - p. 675-685 , 2014
Link: https://doi.org/10.1111/..
 
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12

Multi-site benchmark classification of major depressive dis..:

Belov, V ; Erwin-Grabner, T ; Aghajani, M...
https://openaccess.city.ac.uk/id/eprint/32077/1/Multi-site%20benchmark%20classification%20of%20major%20depressive%20disorder%20using%20machine%20learning%20on%20cortical%20and%20subcortical%20measures.pdf.  , 2024
Link: https://openaccess.city...
 
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13

Subcortical volumes across the lifespan: Data from 18,605 h..:

Dima, D ; Modabbernia, A ; Papachristou, E...
https://discovery.ucl.ac.uk/id/eprint/10121892/1/hbm.25320.pdf.  , 2022
Link: https://discovery.ucl.ac..
 
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Cortical thickness across the lifespan: Data from 17,075 he..:

Frangou, S ; Modabbernia, A ; Williams, S. C. R...
https://openaccess.city.ac.uk/id/eprint/25940/1/hbm.25364.pdf.  , 2022
Link: https://openaccess.city...
 
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15

Cortical thickness across the lifespan: Data from 17,075 he..:

Frangou, S ; Modabbernia, A ; Williams, SCR...
https://discovery.ucl.ac.uk/id/eprint/10123032/1/hbm.25364.pdf.  , 2022
Link: https://discovery.ucl.ac..
 
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