Jaroslav Tintěra

Individualized surface parcellation enhances characterization of resting-state brain dynamics and their alterations in schizophrenia

This study compares parcellation strategies in schizophrenia rs-fMRI, finding that individualized parcellation better captures dynamic brain dynamics and symptom associations.

Replication Challenges in Linking Personality to Resting-State Functional Connectomics

The paper attempts to replicate a study linking personality to functional connectomics but fails to replicate any of the reported neuroimaging correlates.

Deviation from typical brain activity during naturalistic stimulation is related to personality traits

The paper examines the relationship between personality traits and brain activity using naturalistic fMRI data, finding that higher Neuroticism/Harm Avoidance is associated with lower typicality in brain activity.

Neuroimaging Correlates of Altered Sense of Agency in First-Episode Schizophrenia-Spectrum Patients: A Comparative Study Across Two Sites

This study investigates altered sense of agency in first-episode schizophrenia patients using neuroimaging, finding consistent DMN hypo-activation across two independent cohorts.

Impact of Connectivity Granularity: A Comparison of ROI and Network-Level Approaches for Early Schizophrenia Classification

This study compares ROI-level and network-level functional connectivity approaches for early schizophrenia classification, finding that medium-resolution atlases provide the best accuracy.

Resting-state hyper- and hypo-connectivity in early schizophrenia: which tip of the iceberg should we focus on?

This study examines hyper- and hypoconnectivity in early schizophrenia using fMRI data, finding localized dysconnections and highlighting the impact of denoising strategies on results.

Typicality of Functional Connectivity robustly captures motion artifacts in rs-fMRI across datasets, atlases and preprocessing pipelines

The paper introduces a measure called Typicality of Functional Connectivity to assess motion artifacts in resting state fMRI data across multiple datasets and preprocessing pipelines.