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Karsten Müller

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11 papers
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11

YNIMG Journal 2019 Journal Article

Acute psychosocial stress alters thalamic network centrality

  • Janis Reinelt
  • Marie Uhlig
  • Karsten Müller
  • Mark E. Lauckner
  • Deniz Kumral
  • H. Lina Schaare
  • Blazej M. Baczkowski
  • Anahit Babayan

Acute stress triggers a broad psychophysiological response that is adaptive if rapidly activated and terminated. While the brain controls the stress response, it is strongly affected by it. Previous research of stress effects on brain activation and connectivity has mainly focused on pre-defined brain regions or networks, potentially missing changes in the rest of the brain. We here investigated how both stress reactivity and stress recovery are reflected in whole-brain network topology and how changes in functional connectivity relate to other stress measures. Healthy young males (n = 67) completed the Trier Social Stress Test or a control task. From 60 min before until 105 min after stress onset, blocks of resting-state fMRI were acquired. Subjective, autonomic, and endocrine measures of the stress response were assessed throughout the experiment. Whole-brain network topology was quantified using Eigenvector centrality (EC) mapping, which detects central hubs of a network. Stress influenced subjective affect, autonomic activity, and endocrine measures. EC differences between groups as well as before and after stress exposure were found in the thalamus, due to widespread connectivity changes in the brain. Stress-driven EC increases in the thalamus were significantly correlated with subjective stress ratings and showed non-significant trends for a correlation with heart rate variability and saliva cortisol. Furthermore, increases in thalamic EC and in saliva cortisol persisted until 105 min after stress onset. We conclude that thalamic areas are central for information processing after stress exposure and may provide an interface for the stress response in the rest of the body and in the mind.

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YNIMG Journal 2018 Journal Article

Gastric-bypass surgery induced widespread neural plasticity of the obese human brain

  • Michael Rullmann
  • Sven Preusser
  • Sindy Poppitz
  • Stefanie Heba
  • Jana Hoyer
  • Tatjana Schütz
  • Arne Dietrich
  • Karsten Müller

Bariatric surgery has become the gold standard for the treatment of morbid obesity (body mass index (BMI) ≥ 40 kg/m2), but only few studies investigated its plastic influences on the obese brain. In this longitudinal study, we combined structural and functional magnetic resonance brain imaging (MRI) in 27 patients (BMI 47. 8 ± 5. 5 kg/m2) undergoing gastric-bypass surgery and 14 non-obese matched controls (BMI 24. 7 ± 3. 4 kg/m2). Over the first year after surgery, patients presented widespread changes in white matter density (WMD) as well as gray matter density (GMD) in the cerebral cortex of all lobes, subcortical structures, the brainstem as well as the cerebellum, but no changes in white matter water diffusivity throughout the brain. Voxel-by-voxel regression analyses revealed that all GMD and WMD changes were well associated with elevated regional homogeneity of spontaneous neural activity (ReHo) in blood-oxygenation level-dependent signals. Spatial-temporal integration of structural and functional MRI suggests that gastric-bypass surgery induces widespread plastic changes in brain structure that concurrently homogenizes the functional profile of the cortex, subcortical regions as well as white matter structures.

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YNIMG Journal 2012 Journal Article

Critical comments on dynamic causal modelling

  • Gabriele Lohmann
  • Kerstin Erfurth
  • Karsten Müller
  • Robert Turner

Dynamic causal modelling (DCM) (Friston et al. , 2003) is a technique designed to investigate the influence between brain areas using time series data obtained by EEG/MEG or functional magnetic resonance imaging (fMRI). The basic idea is to fit various models to time series data, and select one of those models using Bayesian model comparison. Here, we present a critical evaluation of DCM in which we show that DCM can be challenged on several grounds. We will discuss three main points relating to combinatorial explosion, the validity of the model selection procedure, and problems with respect to model validation.

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YNIMG Journal 2006 Journal Article

Variability of the BOLD response over time: An examination of within-session differences

  • Mareike M. Menz
  • Jane Neumann
  • Karsten Müller
  • Stefan Zysset

Model-based analysis methods for fMRI data assume a priori knowledge of the time course of the hemodynamic response (HR) in reaction to experimental stimuli or events. This knowledge is incorporated into the hemodynamic response function (HRF), which is a common model of the HR. Although it is already known that the HR varies across individuals and brain regions, few studies have investigated how variations within one session affect the results of statistical analysis using the general linear model (GLM). In this study, we formally tested for a possible variation of the BOLD response during prolonged functional measurement (120 min). To provoke performance of simple visual, motor, and cognitive tasks, we opted for a combination of a variant of the Stroop task and rotating L’s. In selected regions of interest, time courses were extracted and compared with regard to mean and maximum amplitudes throughout the time of functional measurement. Additionally, parameter estimates derived from the GLM were tested for differences over time. Although differences between conditions were found to be significant, results did not show significant variance due to a within-factor time. Similarly, a temporal change in the relation between conditions, in terms of an interaction between the within-factor time and the within-factor condition, was not detectable by a repeated measures ANOVA. Similar results were obtained for analysis of mean and maximum amplitudes as well as for the analyses of parameter estimates.

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YNIMG Journal 2004 Journal Article

Towards a standard analysis for functional near-infrared imaging

  • Matthias L Schroeter
  • Markus M Bücheler
  • Karsten Müller
  • Kâmil Uludağ
  • Hellmuth Obrig
  • Gabriele Lohmann
  • Marc Tittgemeyer
  • Arno Villringer

Functional near-infrared spectroscopy (fNIRS) allows the ability to monitor brain activation by measuring changes in the concentration of oxy- and deoxy-hemoglobin. Until now no standardized approach for fNIRS data analysis has been established, although this has to be regarded as a precondition for future application. Hence, we applied the well-established general linear model to optical imaging data. Further, fNIRS data were analyzed in the frequency domain. Two visual tasks were investigated with optical imaging: a checkerboard paradigm supposed to activate the primary and secondary visual cortex, and a paradigm consisting of moving colored stimuli (rotating ‘L’s) additionally involving the motion area V5. Analysis with the general linear model detected the activation focus in the primary and secondary visual cortex during the first paradigm. For the second paradigm, a second laterally localized activated brain region was found, most likely representing V5. Spatially resolved spectral analysis confirmed the results by showing maxima of power spectral density and coherence in the same respective brain regions. Moreover, it demonstrated a delay of the hemodynamic response in the motion area. In summary, the present study suggests that the general linear model and spatially resolved spectral analysis can be used as standard statistical approaches for optical imaging data, particularly because they are almost independent of the assumed differential path length factors.

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YNIMG Journal 2003 Journal Article

Distinct brain representations for early and late learned words

  • Christian J Fiebach
  • Angela D Friederici
  • Karsten Müller
  • D.Yves von Cramon
  • Arturo E Hernandez

Recently there has been a renewed interest in cognitive psychology on the effects of the age of word acquisition (AoA) on lexical processing. In particular, it is currently unclear whether AoA or word frequency are better predictors of word recognition. To date no study has investigated the neural bases of the AoA effect or attempted to dissociate it from word frequency. We report a visual and an auditory event-related fMRI experiment investigating the influence of AoA and word frequency on neural activity, and show that AoA modulates brain areas that are not influenced by word frequency. The precuneus was activated for early learned words across auditory and visual presentation modalities. Additional activity in the auditory cortex was observed specifically for the reading of early acquired words. Late learned words, in contrast, led to a selective activation increase in lateral inferior frontal areas. These findings support models that suggest that early and late learned words are represented differently in the brain. They further allow to specify the nature of the represenational differences, namely that early learned words are represented in the brain in a more sensory manner than late learned words.

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YNIMG Journal 2001 Journal Article

Color-Word Matching Stroop Task: Separating Interference and Response Conflict

  • Stefan Zysset
  • Karsten Müller
  • Gabriele Lohmann
  • D.Yves von Cramon

The Stroop interference task requires a person to respond to a specific dimension of a stimulus while suppressing a competing stimulus dimension. Previous PET and fMRI studies using the Color Stroop paradigm have shown increased activity in the “cognitive division” of the cingulate cortex. In our fMRI study with nine subjects, we used a Color–Word Matching Stroop task. A frontoparietal network, including structures in the lateral prefrontal cortex, the frontopolar region, the intraparietal sulcus, as well as the lateral occipitotemporal gyrus, was activated when contrasting the incongruent vs the neutral condition. However, no substantial activation in either the right or left hemisphere of the anterior cingulate cortex (ACC) was detected. In accordance with a series of recent articles, we argue that the ACC is not specifically involved in interference processes. The ACC seems rather involved in motor preparation processes which were controlled in the present Color–Word Matching Stroop task. We argue that the region around the banks of the inferior frontal sulcus is required to solve interference problems, a concept which can also be seen as a component of task set management.

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YNIMG Journal 2001 Journal Article

On Multivariate Spectral Analysis of fMRI Time Series

  • Karsten Müller
  • Gabriele Lohmann
  • Volker Bosch
  • D.Yves von Cramon

Most of functional magnetic resonance imaging (fMRI) time series analysis is based on single voxel data evaluation using parametric statistical tests. The result of such an analysis is a statistical parametric map. Voxels with a high significance value in the parametric test are interpreted as activation regions stimulated by the experimental task. However, for the investigation of functional connectivities it would be interesting to get some detailed information about the temporal dynamics of the blood oxygen level-dependent (BOLD) signal. For investigating that behavior, a method for fMRI data analysis has been developed that is based on Wiener theory of spectral analysis for multivariate time series. Spectral parameters such as coherence measure and phase lead can be estimated. The resulting maps give detailed information on brain regions that belong to a network structure and also show the temporal behavior of the BOLD response function. This paper describes the method and presents a visual fMRI experiment as an example to demonstrate the results.

Details DOI
v2026.09.13