Klaus Mathiak

Multimodal evidence for impaired glymphatic brain clearance as a mediator of "inflammaging" in schizophrenia - integrating insights from in vivo neuroimaging, omics, and post-mortem single nucleus-RNA-Seq data

The paper integrates neuroimaging, omics, and single nucleus-RNA-Seq data to show glymphatic dysfunction in schizophrenia is linked to inflammation, aging, and cognitive decline.

Searchlight Optimization Using Representational Similarity Analysis for Subject-Level Voxel Selection in Emotional State Decoding

This paper introduces a subject-level searchlight optimization framework combining univariate and multivariate analyses to identify condition-sensitive voxels for emotional state decoding in fMRI.

Toward navigating emotional states using real-time representational similarity analysis fMRI neurofeedback - a feasibility study

This study explores using real-time representational similarity analysis in fMRI neurofeedback to navigate emotional states, showing feasibility and improved performance with repeated sessions.

Does Unfairness Evoke Anger or Disgust? A Quantitative Neurofunctional Dissection Based on 25 Years of Neuroimaging

The paper uses neuroimaging data to dissect the neural differences between unfairness and moral emotions like anger and disgust, identifying distinct brain networks involved in each.

Neural Mechanisms of Feedback Processing and Regulation Recalibration during Neurofeedback Training

This paper analyzes fMRI neurofeedback data to identify brain regions and networks involved in feedback processing and regulation recalibration during training.

On the specificity of manual triggers of autonomic nervous system responses using osteopathic cranial manipulative medicine

The paper compares autonomic responses to cranial vault hold (CVH) with other interventions, finding specific physiological changes in LF and IM frequency bands only during CVH.

Putamen volume predicts real-time fMRI neurofeedback learning success across paradigms and neurofeedback target regions

The paper finds that right putamen gray matter volume predicts success in real-time fMRI neurofeedback training across different paradigms and target regions.

Common and separable neural alterations in substance use disorders: evidence from coordinate-based meta-analyses of functional neuroimaging studies in human

This study identifies common and substance-specific neural alterations in substance use disorders through coordinate-based meta-analyses of fMRI studies.

Exploring Frequency-dependent Brain Networks from ongoing EEG using Spatial ICA during music listening