Publicaciones (12) Publicaciones de Stefano Moia

2024

  1. Frontostriatal salience network expansion in individuals in depression

    Nature, Vol. 633, Núm. 8030, pp. 624-633

2023

  1. Brain Fingerprinting Using FMRI Spectral Signatures On High-Resolution Cortical Graphs

    ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings

  2. Comparing end-tidal CO2, respiration volume per time (RVT), and average gray matter signal for mapping cerebrovascular reactivity amplitude and delay with breath-hold task BOLD fMRI

    NeuroImage, Vol. 272

2022

  1. Lag-Optimized Blood Oxygenation Level Dependent Cerebrovascular Reactivity Estimates Derived From Breathing Task Data Have a Stronger Relationship With Baseline Cerebral Blood Flow

    Frontiers in Neuroscience, Vol. 16

2021

  1. A low rank and sparse paradigm free mapping algorithm for deconvolution of FMRI data

    Proceedings - International Symposium on Biomedical Imaging

  2. A practical modification to a resting state fMRI protocol for improved characterization of cerebrovascular function

    NeuroImage, Vol. 239

  3. BIDScoin: A User-Friendly Application to Convert Source Data to Brain Imaging Data Structure

    Frontiers in Neuroinformatics, Vol. 15

  4. Brainhack: Developing a culture of open, inclusive, community-driven neuroscience

    Neuron, Vol. 109, Núm. 11, pp. 1769-1775

  5. ICA-based denoising strategies in breath-hold induced cerebrovascular reactivity mapping with multi echo BOLD fMRI

    NeuroImage, Vol. 233

2020

  1. Voxelwise optimization of hemodynamic lags to improve regional CVR estimates in breath-hold fMRI

    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

2019

  1. A deconvolution algorithm for multi-echo functional MRI: Multi-echo Sparse Paradigm Free Mapping

    NeuroImage, Vol. 202

2018

  1. Quantitative deconvolution of fmri data with multi-echo sparse paradigm free mapping

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)