Nicole Geissberger
Nicole Geissberger
Medical University of Vienna
Bestätigte E-Mail-Adresse bei tmsfmri.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Default mode network deactivation during emotion processing predicts early antidepressant response
M Spies, C Kraus, N Geissberger, B Auer, M Klöbl, M Tik, IL Stürkat, ...
Translational psychiatry 7 (1), e1008-e1008, 2017
392017
Task-dependent modulation of amygdala connectivity in social anxiety disorder
L Minkova, R Sladky, GS Kranz, M Woletz, N Geissberger, C Kraus, ...
Psychiatry Research: Neuroimaging 262, 39-46, 2017
192017
Unsmoothed functional MRI of the human amygdala and bed nucleus of the stria terminalis during processing of emotional faces
R Sladky, N Geissberger, DM Pfabigan, C Kraus, M Tik, M Woletz, K Paul, ...
Neuroimage 168, 383-391, 2018
162018
The pulvinar nucleus and antidepressant treatment: dynamic modeling of antidepressant response and remission with ultra-high field functional MRI
C Kraus, M Klöbl, M Tik, B Auer, T Vanicek, N Geissberger, DM Pfabigan, ...
Molecular psychiatry 24 (5), 746-756, 2019
152019
Reproducibility of amygdala activation in facial emotion processing at 7T
N Geissberger, M Tik, R Sladky, M Woletz, AL Schuler, D Willinger, ...
NeuroImage 211, 116585, 2020
92020
Functional localizers for improved DLPFC targeting: a comparison against standard rTMS targets
M Princic, M Tik, M Woletz, N Geissberger, C Windischberger
Brain Stimulation: Basic, Translational, and Clinical Research in …, 2019
12019
Give Me a Pain that I am used to: Distinct Habituation Patterns to Painful & Non-painful Stimulation
K Paul, M Tik, A Hahn, R Sladky, N Geissberger, EM Seidel, GS Kranz, ...
2021
Correction to: The pulvinar nucleus and antidepressant treatment: dynamic modeling of antidepressant response and remission with ultra-high field functional MRI
C Kraus, M Klöbl, M Tik, B Auer, T Vanicek, N Geissberger, DM Pfabigan, ...
Molecular psychiatry 24 (5), 772-772, 2019
2019
Remission from depression and tms over left DLPFC share the same network connectivity changes
M Tik, M Woletz, G Kranz, D Pfabigan, N Geissberger, R Sladky, C Kraus, ...
Brain Stimulation 12 (2), 435-436, 2019
2019
Individualizing Brainstimulation through concurrent TMS/fMRI
M Tik, M Woletz, M Princic, A Schuler, N Geissberger, A Hummer, ...
Brain Stimulation: Basic, Translational, and Clinical Research in …, 2019
2019
Reduced gray matter in subcortical brain regions in MDD: preliminary results of an ultra-high field 7 Tesla MRI Study
T Vanicek, R Seiger, B Auer, M Tik, C Kraus, D Pfabigan, N Geissberger, ...
European Neuropsychopharmacology 27, S719-S720, 2017
2017
Reliability of dynamic causal modelling of brain connectivity
N Geissberger
Wien, 2017
2017
Brain Connectivity Models for Functional Magnetic Resonance Imaging.
N Geissberger, G Schneckenreither
Simul. Notes Eur. 27 (3), 161-166, 2017
2017
Towards a novel dynamic faces stimulus for investigating affective networks with fMRI
D Willinger, R Sladky, N Geissberger, A Hoffmann, M Tik, ...
MEi: CogSci Conference 2016, Vienna, 2016
2016
PS170. Decreased response of putamen and amygdala in major depressive patients during uncertainty of non-painful stimuli
C Kraus, B Auer, N Geissberger, M Klöbl, IL Stürkat, M Tik, A Hahn, ...
International Journal of Neuropsychopharmacology 19 (Suppl_1), 61-62, 2016
2016
PS190. Emotion processing related brain activity assessed with 7 Tesla fMRI predicts early antidepressant response
M Spies, C Kraus, N Geissberger, B Auer, M Klöbl, M Tik, IL Stürkat, ...
International Journal of Neuropsychopharmacology 19 (Suppl_1), 69-70, 2016
2016
Decreased response of putamen and amygdala in major depressive patients during uncertainty of non-painful stimuli
C Kraus, B Auer, N Geissberger, M Kloebl, IL Stuerkat, M Tik, A Hahn, ...
INTERNATIONAL JOURNAL OF NEUROPSYCHOPHARMACOLOGY 19, 108-109, 2016
2016
Emotion processing related brain activity assessed with 7 Tesla fMRI predicts early antidepressant response
M Spies, C Kraus, N Geissberger, B Auer, M Kloebl, M Tik, IL Stuerkat, ...
INTERNATIONAL JOURNAL OF NEUROPSYCHOPHARMACOLOGY 19, 116-117, 2016
2016
Ausgeführt am Institut für Analysis und Scientific Computing der Technischen Universität Wien
PDDID Christian, WDIG Schneckenreither, N Geissberger
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Artikel 1–19