Michael Erb | University of Tübingen (original) (raw)

Papers by Michael Erb

Research paper thumbnail of Language aptitude for pronunciation in advanced second language (L2) learners: Behavioural predictors and neural substrates

Zenodo (CERN European Organization for Nuclear Research), Dec 20, 2012

Research paper thumbnail of Common patterns for the processing of time and frequency information. New evidence from fMRI

Research paper thumbnail of Reorganization of human primary somatosensory cortex after a few hours of tactile coactivation

Research paper thumbnail of FMRI of localized activation of executed and imagined movements

Research paper thumbnail of The Neural Correlates of Face-Voice-Integration in Social Anxiety Disorder

Frontiers in Psychiatry, 2020

Research paper thumbnail of Activation of Anterior Cingulate Gyrus, Right Medial Frontal Gyrus, and Parietal Visual Association Cortex during Retrieval: An Event-related Functional MRI-Analysis

Research paper thumbnail of Gender Differences in Cortical Processing of Affective Speech Prosody

Research paper thumbnail of Mapping the Cerebellum: Interindividual Analysis of fMRI Activation

Research paper thumbnail of Tuned to voices and faces: Cerebral responses linked to social anxiety

Research paper thumbnail of fMRI of Cortical Reorganization in the Primary Motor and Sensory Cortex after Traumatic upper Limb Amputation

Research paper thumbnail of Unravelling the brain networks driving spike‐wave discharges in genetic generalized epilepsy—common patterns and individual differences

Epilepsia Open, 2018

SummaryObjectiveGenetic generalized epilepsies (GGEs) are characterized by generalized spike‐wave... more SummaryObjectiveGenetic generalized epilepsies (GGEs) are characterized by generalized spike‐wave discharges (GSWDs) in electroencephalography (EEG) recordings without underlying structural brain lesions. The origin of the epileptic activity remains unclear, although several studies have reported involvement of thalamus and default mode network (DMN). The aim of the current study was to investigate the networks involved in the generation and temporal evolution of GSWDs to elucidate the origin and propagation of the underlying generalized epileptic activity.MethodsWe examined 12 patients with GGE and GSWDs using EEG–functional magnetic resonance imaging (fMRI) and identified involved brain areas on the basis of a classical general linear model (GLM) analysis. The activation time courses of these areas were further investigated to reveal their temporal sequence of activations and deactivations. Dynamic causal modeling (DCM) was used to determine the generator of GSWDs in GGE.ResultsWe...

Research paper thumbnail of Neurobiological correlates of emotional intelligence in voice and face perception networks

Social Cognitive and Affective Neuroscience, 2018

Research paper thumbnail of P3. Multimodal effective connectivity analysis reveals seizure focus and propagation in musicogenic epilepsy

Clinical Neurophysiology, 2015

Objective Dynamic causal modeling (DCM) is a method to non-invasively assess effective connectivi... more Objective Dynamic causal modeling (DCM) is a method to non-invasively assess effective connectivity between brain regions. This is especially interesting in epilepsy where the identification of epileptic network dynamics is of great clinical interest. ‘Musicogenic epilepsy’ is a rare reflex epilepsy syndrome in which seizures can be specifically elicited by musical stimuli and thus represents a unique possibility to investigate complex human brain networks and test connectivity analysis tools. We investigated the temporal sequence of epileptic activity spread in a case of musicogenic epilepsy using DCM for fMRI, high-density (hd-) EEG and MEG and validated results with intracranial EEG recordings. Methods A patient with musicogenic seizures triggered by Rap music was examined using hd-EEG/fMRI and simultaneous 256-channel hd-EEG/MEG to characterize the epileptogenic focus and propagation effects using source analysis techniques and DCM. Results were validated with invasive EEG recordings. Results We recorded one seizure with hd-EEG/fMRI and four auras with hd-EEG/MEG. Consistent across all modalities, we observed activations in the right mesio-temporal region as well as bilateral mesial frontal regions ( Fig. 1 ) at seizure onset. Effective connectivity analysis of fMRI and hd-EEG/MEG indicated that right mesio-temporal neuronal activity drives changes in the frontal areas consistently in all three modalities ( Fig. 2 ), i.e. seizures seem to originate in the right mesio-temporal region and propagate to the frontal region. These results could be confirmed by invasive EEG recordings, which clearly identified the seizure onset zone in the right hippocampus with fast propagation of seizure activity to the mesial frontal lobes. Conclusions Using DCM for fMRI, hd-EEG and MEG we were able to correctly localize focus and propagation of epileptic activity and thereby characterize the underlying epileptic network in a patient with musicogenic epilepsy. The concordance between all three functional modalities validated by invasive monitoring is noteworthy, both for musicogenic seizures as well as for effective connectivity analysis in general.

Research paper thumbnail of Differences between MEG and high-density EEG source localizations using a distributed source model in comparison to fMRI

Brain topography, 2015

Electroencephalography (EEG) and magnetoencephalography (MEG) are widely used to localize brain a... more Electroencephalography (EEG) and magnetoencephalography (MEG) are widely used to localize brain activity and their spatial resolutions have been compared in several publications. While most clinical studies demonstrated higher accuracy of MEG source localization, simulation studies suggested a more accurate EEG than MEG localization for the same number of channels. However, studies comparing real MEG and EEG data with equivalent number of channels are scarce. We investigated 14 right-handed healthy subjects performing a motor task in MEG, high-density-(hd-) EEG and fMRI as well as a somatosensory task in MEG and hd-EEG and compared source analysis results of the evoked brain activity between modalities with different head models. Using individual head models, hd-EEG localized significantly closer to the anatomical reference point obtained by fMRI than MEG. Source analysis results were least accurate for hd-EEG based on a standard head model. Further, hd-EEG and MEG localized more me...

Research paper thumbnail of Cortical reorganization after a few hours of tactile coactivation-A MEG and fMRI study

Research paper thumbnail of PERSONALITY IS ASSOCIATED WITH fMRI BOLD-RESPONSE IN AN EMOTIONAL PARADIGM: IMPLICATIONS FOR CONTROL SUBJECT SELECTION IN SCHIZOPHRENIA RESEARCH

Schizophrenia Research, 2008

Research paper thumbnail of Pharmako-FMRT in Alzheimers dementia

Research paper thumbnail of Physiological self-regulation of regional brain activity using real-time functional magnetic resonance imaging (fMRI): methodology and exemplary data

Research paper thumbnail of The neural correlates of perceiving one's own movements

Research paper thumbnail of Comparison of longitudinal metabolite relaxation times in different regions of the human brain at 1.5 and 3 Tesla

Magnetic Resonance in Medicine, 2003

In vivo longitudinal relaxation times of N‐acetyl compounds (NA), choline‐containing substances (... more In vivo longitudinal relaxation times of N‐acetyl compounds (NA), choline‐containing substances (Cho), creatine (Cr), myo‐inositol (mI), and tissue water were measured at 1.5 and 3 T using a point‐resolved spectroscopy (PRESS) sequence with short echo time (TE). T1 values were determined in six different brain regions: the occipital gray matter (GM), occipital white matter (WM), motor cortex, frontoparietal WM, thalamus, and cerebellum. The T1 relaxation times of water protons were 26–38% longer at 3 T than at 1.5 T. Significantly longer metabolite T1 values at 3 T (11–36%) were found for NA, Cho, and Cr in the motor cortex, frontoparietal WM, and thalamus. The amounts of GM, WM, and cerebrospinal fluid (CSF) within the voxel were determined by segmentation of a 3D image data set. No influence of tissue composition on metabolite T1 values was found, while the longitudinal relaxation times of water protons were strongly correlated with the relative GM content. Magn Reson Med 50:1296–...

Research paper thumbnail of Language aptitude for pronunciation in advanced second language (L2) learners: Behavioural predictors and neural substrates

Zenodo (CERN European Organization for Nuclear Research), Dec 20, 2012

Research paper thumbnail of Common patterns for the processing of time and frequency information. New evidence from fMRI

Research paper thumbnail of Reorganization of human primary somatosensory cortex after a few hours of tactile coactivation

Research paper thumbnail of FMRI of localized activation of executed and imagined movements

Research paper thumbnail of The Neural Correlates of Face-Voice-Integration in Social Anxiety Disorder

Frontiers in Psychiatry, 2020

Research paper thumbnail of Activation of Anterior Cingulate Gyrus, Right Medial Frontal Gyrus, and Parietal Visual Association Cortex during Retrieval: An Event-related Functional MRI-Analysis

Research paper thumbnail of Gender Differences in Cortical Processing of Affective Speech Prosody

Research paper thumbnail of Mapping the Cerebellum: Interindividual Analysis of fMRI Activation

Research paper thumbnail of Tuned to voices and faces: Cerebral responses linked to social anxiety

Research paper thumbnail of fMRI of Cortical Reorganization in the Primary Motor and Sensory Cortex after Traumatic upper Limb Amputation

Research paper thumbnail of Unravelling the brain networks driving spike‐wave discharges in genetic generalized epilepsy—common patterns and individual differences

Epilepsia Open, 2018

SummaryObjectiveGenetic generalized epilepsies (GGEs) are characterized by generalized spike‐wave... more SummaryObjectiveGenetic generalized epilepsies (GGEs) are characterized by generalized spike‐wave discharges (GSWDs) in electroencephalography (EEG) recordings without underlying structural brain lesions. The origin of the epileptic activity remains unclear, although several studies have reported involvement of thalamus and default mode network (DMN). The aim of the current study was to investigate the networks involved in the generation and temporal evolution of GSWDs to elucidate the origin and propagation of the underlying generalized epileptic activity.MethodsWe examined 12 patients with GGE and GSWDs using EEG–functional magnetic resonance imaging (fMRI) and identified involved brain areas on the basis of a classical general linear model (GLM) analysis. The activation time courses of these areas were further investigated to reveal their temporal sequence of activations and deactivations. Dynamic causal modeling (DCM) was used to determine the generator of GSWDs in GGE.ResultsWe...

Research paper thumbnail of Neurobiological correlates of emotional intelligence in voice and face perception networks

Social Cognitive and Affective Neuroscience, 2018

Research paper thumbnail of P3. Multimodal effective connectivity analysis reveals seizure focus and propagation in musicogenic epilepsy

Clinical Neurophysiology, 2015

Objective Dynamic causal modeling (DCM) is a method to non-invasively assess effective connectivi... more Objective Dynamic causal modeling (DCM) is a method to non-invasively assess effective connectivity between brain regions. This is especially interesting in epilepsy where the identification of epileptic network dynamics is of great clinical interest. ‘Musicogenic epilepsy’ is a rare reflex epilepsy syndrome in which seizures can be specifically elicited by musical stimuli and thus represents a unique possibility to investigate complex human brain networks and test connectivity analysis tools. We investigated the temporal sequence of epileptic activity spread in a case of musicogenic epilepsy using DCM for fMRI, high-density (hd-) EEG and MEG and validated results with intracranial EEG recordings. Methods A patient with musicogenic seizures triggered by Rap music was examined using hd-EEG/fMRI and simultaneous 256-channel hd-EEG/MEG to characterize the epileptogenic focus and propagation effects using source analysis techniques and DCM. Results were validated with invasive EEG recordings. Results We recorded one seizure with hd-EEG/fMRI and four auras with hd-EEG/MEG. Consistent across all modalities, we observed activations in the right mesio-temporal region as well as bilateral mesial frontal regions ( Fig. 1 ) at seizure onset. Effective connectivity analysis of fMRI and hd-EEG/MEG indicated that right mesio-temporal neuronal activity drives changes in the frontal areas consistently in all three modalities ( Fig. 2 ), i.e. seizures seem to originate in the right mesio-temporal region and propagate to the frontal region. These results could be confirmed by invasive EEG recordings, which clearly identified the seizure onset zone in the right hippocampus with fast propagation of seizure activity to the mesial frontal lobes. Conclusions Using DCM for fMRI, hd-EEG and MEG we were able to correctly localize focus and propagation of epileptic activity and thereby characterize the underlying epileptic network in a patient with musicogenic epilepsy. The concordance between all three functional modalities validated by invasive monitoring is noteworthy, both for musicogenic seizures as well as for effective connectivity analysis in general.

Research paper thumbnail of Differences between MEG and high-density EEG source localizations using a distributed source model in comparison to fMRI

Brain topography, 2015

Electroencephalography (EEG) and magnetoencephalography (MEG) are widely used to localize brain a... more Electroencephalography (EEG) and magnetoencephalography (MEG) are widely used to localize brain activity and their spatial resolutions have been compared in several publications. While most clinical studies demonstrated higher accuracy of MEG source localization, simulation studies suggested a more accurate EEG than MEG localization for the same number of channels. However, studies comparing real MEG and EEG data with equivalent number of channels are scarce. We investigated 14 right-handed healthy subjects performing a motor task in MEG, high-density-(hd-) EEG and fMRI as well as a somatosensory task in MEG and hd-EEG and compared source analysis results of the evoked brain activity between modalities with different head models. Using individual head models, hd-EEG localized significantly closer to the anatomical reference point obtained by fMRI than MEG. Source analysis results were least accurate for hd-EEG based on a standard head model. Further, hd-EEG and MEG localized more me...

Research paper thumbnail of Cortical reorganization after a few hours of tactile coactivation-A MEG and fMRI study

Research paper thumbnail of PERSONALITY IS ASSOCIATED WITH fMRI BOLD-RESPONSE IN AN EMOTIONAL PARADIGM: IMPLICATIONS FOR CONTROL SUBJECT SELECTION IN SCHIZOPHRENIA RESEARCH

Schizophrenia Research, 2008

Research paper thumbnail of Pharmako-FMRT in Alzheimers dementia

Research paper thumbnail of Physiological self-regulation of regional brain activity using real-time functional magnetic resonance imaging (fMRI): methodology and exemplary data

Research paper thumbnail of The neural correlates of perceiving one's own movements

Research paper thumbnail of Comparison of longitudinal metabolite relaxation times in different regions of the human brain at 1.5 and 3 Tesla

Magnetic Resonance in Medicine, 2003

In vivo longitudinal relaxation times of N‐acetyl compounds (NA), choline‐containing substances (... more In vivo longitudinal relaxation times of N‐acetyl compounds (NA), choline‐containing substances (Cho), creatine (Cr), myo‐inositol (mI), and tissue water were measured at 1.5 and 3 T using a point‐resolved spectroscopy (PRESS) sequence with short echo time (TE). T1 values were determined in six different brain regions: the occipital gray matter (GM), occipital white matter (WM), motor cortex, frontoparietal WM, thalamus, and cerebellum. The T1 relaxation times of water protons were 26–38% longer at 3 T than at 1.5 T. Significantly longer metabolite T1 values at 3 T (11–36%) were found for NA, Cho, and Cr in the motor cortex, frontoparietal WM, and thalamus. The amounts of GM, WM, and cerebrospinal fluid (CSF) within the voxel were determined by segmentation of a 3D image data set. No influence of tissue composition on metabolite T1 values was found, while the longitudinal relaxation times of water protons were strongly correlated with the relative GM content. Magn Reson Med 50:1296–...