Peter Zeidman

This paper introduces Embodied Dynamic Causal Modelling to estimate effective connectivity across the brain-heart axis using multimodal data from an auditory Go/No-Go task.

The paper examines how disrupted forward connectivity in the parieto-temporal network relates to memory impairment and AD pathology using fMRI and DCM in a longitudinal study.

This paper introduces DCM-SR, a new framework for modeling time-varying neural dynamics, and applies it to study slow cortical potentials in cognitive tasks.

This paper introduces Event-Related Warping (ERW), a method for temporal alignment and jitter correction in sequential experimental paradigms, improving response recovery and preserving inter-channel relationships.

This paper uses MEG and dynamic causal modelling to show that cardiac systole suppresses auditory deviant responses through local inhibitory gain control, not hierarchical attentional modulation.

The paper links cognitive reserve to brain activity during memory formation, showing it moderates the impact of Alzheimer's pathology on cognitive performance and predicts slower decline.

This study evaluates hemodynamic models of the BOLD response across the adult lifespan, finding that three-parameter models and biophysical models like HDM capture age-related changes effectively.

This study uses dynamic causal modeling to analyze effective connectivity in schizophrenia patients, finding significant dysconnection in key networks and correlations with cognitive impairments.

This study uses spectral dynamic causal modelling to show that visual hallucinations in Parkinson's disease are linked to reduced bottom-up and increased top-down effective connectivity in the visual network.

This study uses dynamic causal modelling of fMRI data to investigate how face repetition affects connectivity in the ventral visual stream, finding that repetition effects are best explained by changes in between-region connections rather than local activity.

The paper investigates age-related changes in the ipsilateral M1 BOLD response using dynamic causal modelling on fMRI data from the Cam-CAN dataset, finding increased positive connectivity from SMA and PMd with age.

This study investigates the relationship between neural excitation/inhibition imbalance and treatment outcomes in severe depression, finding that ECT effectiveness is not tied to changes in inhibition but can be enhanced by pharmacotherapy under specific conditions.

The paper investigates how hand-object orientation congruency affects neural activity during action planning using fMRI, finding increased premotor cortex activity for incongruent orientations.

This study investigates how task domain, cognitive challenge, and tDCS modulate activity in the left inferior frontal cortex using fMRI and neuromodulation data.

The paper demonstrates that the human hippocampus exhibits a contralateral visual field bias, extending retinotopic sensitivity beyond early visual cortex.

This study investigates the hippocampal response to scene processing, finding it is more active for naturalistic scenes than scrambled ones, with distinct regions involved in color and layout detection, and no effect of scene complexity.

The paper investigates the neural mechanisms linking speech-in-noise perception difficulties to fundamental auditory grouping using fMRI, finding shared cortical processes in early auditory areas.

The paper uses dynamic causal modelling to predict ovulation phase from brain connectivity changes across the menstrual cycle in healthy women.

This study investigates the neural mechanisms underlying transitions in cortical beta power in Parkinsonian rats using dynamic causal modeling and identifies key thalamocortical coupling patterns.

This study uses a mental imagery paradigm and high-resolution fMRI to show that different parts of the hippocampus are involved in scene construction versus associative processing, indicating heterogeneity in its function.