Dagmar Timmann

This study shows that the cerebellum and ventral tegmental area interact during fear extinction learning, supporting a role for prediction-error processing in this process.

This study examines cerebellar gray matter volume changes across development, finding peak volumes in adolescence for specific regions, with no adult regions exceeding adolescent volumes.

The paper predicts individual differences in fear and cognitive learning and extinction using multimodal neural connectivity patterns from a large dataset.

This study identifies cerebellar and pontine brain regions involved in human placebo analgesia, linking findings from animal models to human neuroimaging data.

This study identifies digenic inheritance of SPG7 and AFG3L2 mutations as a cause of motor neuron and cerebellar disorders in 17 patients.

This paper develops a computational framework to standardize tDCS stimulation doses across brain regions while preserving individual variability, validated in an independent sample.

This study uses MRI volumetrics to analyze cerebellar and brainstem degeneration in SCA3, finding consistent atrophy patterns and reduced cerebrocerebellar covariance.

This study uses 6 Hz cerebellar transcranial alternating current stimulation to enhance fear extinction learning by modulating cerebellar-cortical interactions in healthy participants.

This study examines the effects of dopaminergic drugs on fear extinction learning in humans, finding small effects primarily in the bromocriptine group.

This study uses MRI volumetrics to characterize brain atrophy patterns in SCA2, finding progressive degeneration starting in cerebellar white matter and spreading to other brain regions.

This study identifies the complete sequences of pathogenic and non-pathogenic FGF14 repeat expansions in patients with cerebellar ataxia, revealing a lower pathogenic threshold and providing mechanistic insights into disease causation.

This study shows that motor training improves cortico-cerebellar connectivity in cerebellar ataxia patients, with specific effects depending on the type of feedback used during training.

This paper introduces fcANNs, a model of brain dynamics based on functional connectivity, showing it can reconstruct and predict brain activity in rest, tasks, and disease states.

This study tests if overlearning improves slow motor adaptation in cerebellar patients, finding increased spontaneous recovery but no improvement in the primary deficit.

The paper shows cerebellar lobules Crus I and VI are activated during fear conditioning predictions and prediction errors, and this activation diminishes during extinction.

This study examines cerebellar involvement in reward-based motor learning by comparing patients with focal lesions to controls in a cart-pole balancing task.