Peter Kirsch

This study investigates the neural basis of graded belief and uncertainty using fMRI, finding brain regions associated with uncertainty and linking these findings to classical theories of belief.

The paper uses a data-driven framework combining dynamical system reconstruction and model predictive control to analyze neural state transitions in fMRI data from individuals with remitted major depressive disorder and healthy controls.

This study investigates the neural correlates of self-referential belief processes using fMRI, finding distinct activation patterns in the vmPFC for belief and self-belief.

The paper shows that reactivation strength during cued recall decreases with graph distance, only in successful retrieval, suggesting graded clustered reactivation in cognitive maps.

This study uses fMRI to examine neural responses during compliment sharing in romantic couples, finding activation in reward and empathy-related brain regions, particularly the ventral striatum.

The paper introduces inferiority and equivalence tests for fMRI data to complement traditional significance testing, enabling more nuanced interpretation of effect sizes and uncertainty.

The paper identifies genetic loci associated with brainstem volumes and finds genetic overlaps with psychiatric and neurological disorders.

The paper estimates brain age gaps using MRI and machine learning in individuals with and without brain disorders, finding heritability and genetic overlap with common disorders.

This paper investigates brain structural heterogeneity in schizophrenia and finds that polygenic risk is associated with thinner fronto-temporal cortices and smaller hippocampal subfields, but not with increased variability.