Advancing the non-invasive assessment of brain communication in neurological disease

Joint Hierarchical Bayesian Learning of Sources and Noise for M/EEG Brain Source Imaging

Autori: Ali Hashemi, Chang Cai, Yijing Gao, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagara- jan, Stefan Haufe
Pubblicato in: Abstracts of Neural Traces 2024 - Advanced M/EEG Methods and Clinical Applications Workshop, 2025
Editore: TU Berlin

A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI

Autori: Tao Tu, John Paisley, Stefan Haufe, Paul Sajda
Pubblicato in: Advances in Neural Information Processing Systems, Numero 32, 2019, Pagina/e 4662-4671
Editore: Neural Information Processing Systems

Integrating subdural EEG-derived spectral and functional connectivity features of focal seizures to improve delineation of the epileptogenic zone

Autori: Margarita Sison, Kara Götz, Tin Jurhar, Martin Holtkamp, Bernd Vorderwülbecke, Stefan Haufe
Pubblicato in: Abstracts of Neural Traces 2024 - Advanced M/EEG Methods and Clinical Applications Workshop, 2025
Editore: TU Berlin

ROIconnect: An open-source EEGLAB plugin for linear and non-linear functional connectivity analysis between brain source regions of interest

Autori: Tien Dung Nguyen, Franziska Pellegrini, Zixuan Liu, Arnaud Delorme, Stefan Haufe
Pubblicato in: Abstracts of Neural Traces 2024 - Advanced M/EEG Methods and Clinical Applications Workshop, 2025
Editore: TU Berlin

The effect of whitening on explanation performance

Autori: Benedict Clark, Stoyan Karastoyanov, Rick Wilming, Stefan Haufe
Pubblicato in: IAI Workshop @ NeurIPS 2024, 2024
Editore: Neural Information Processing Systems Foundation

Distinguishing between- from within-site phase-amplitude coupling using antisymmetrized bispectra

Autori: Franziska Pellegrini, Tien Dung Nguyen, Taliana Herrera, Vadim Nikulin, Guido Nolte, Stefan Haufe
Pubblicato in: Abstracts of Neural Traces 2024 - Advanced M/EEG Methods and Clinical Applications Workshop, 2025
Editore: TU Berlin

Understanding brain function development and heterogeneity using normative modeling in a pediatric rs-EEG dataset

Autori: Nikita Agarwal, Tzvetan Popov, Marius Tröndle, Nicolas Langer, Stefan Haufe
Pubblicato in: Abstracts of Neural Traces 2024 - Advanced M/EEG Methods and Clinical Applications Workshop, 2025
Editore: TU Berlin

Evaluating the reconstruction of complex network measures of functional brain connectivity from M/EEG data

Autori: Veronika Shamova, Subhi Arafat, Stefan Haufe
Pubblicato in: Abstracts of Neural Traces 2024 - Advanced M/EEG Methods and Clinical Applications Workshop, 2025
Editore: TU Berlin

Robustly Estimating Transmission Time Delays under Mixed Noise Influence with Novel Cross- and Bispectrum Methods

Autori: Tin Jurhar, Franziska Pellegrini, Ana I. Nunes del Toro, Guido Nolte, Stefan Haufe
Pubblicato in: Abstracts of Neural Traces 2024 - Advanced M/EEG Methods and Clinical Applications Workshop, 2025
Editore: TU Berlin

Multivariate connectivity methods in the MNE-Python toolbox

Autori: Thomas S. Binns, Mohammad Orabe, Tien Dung Nguyen, Richard M. Köhler, Franziska Pellegrini, Stefan Haufe
Pubblicato in: Abstracts of Neural Traces 2024 - Advanced M/EEG Methods and Clinical Applications Workshop, 2025
Editore: TU Berlin

Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables

Autori: Wilming, Rick; Kieslich, Leo; Clark, Benedict; Haufe, Stefan
Pubblicato in: Proceedings of the 40th International Conference on Machine Learning, PMLR, Numero 202, 2023, Pagina/e 37091-37107
Editore: PMLR
DOI: 10.48550/arxiv.2306.01464

Investigating the effect of noise-level misspecification in M/EEG inverse solutions

Autori: Anuja Negi, Stefan Haufe, Alexandre Gramfort, Ali Hashemi
Pubblicato in: Abstracts of Neural Traces 2024 - Advanced M/EEG Methods and Clinical Applications Workshop, 2025
Editore: TU Berlin

The normal ranges of robust MEG functional connectomes as functions of age and gender

Autori: Veronika Shamova, Elena Cesnaite, Vadim Nikulin, Stefan Haufe
Pubblicato in: Abstracts of Neural Traces 2024 - Advanced M/EEG Methods and Clinical Applications Workshop, 2025
Editore: TU Berlin

Position: XAI needs formal notions of explanation correctness

Autori: Stefan Haufe, Rick Wilming, Benedict Clark, Rustam Zhumagambetov, Danny Panknin, Ahcène Boubekki
Pubblicato in: IAI Workshop @ NeurIPS 2024, 2024
Editore: Neural Information Processing Systems Foundation

Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging

Autori: Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus Robert Muller, Srikantan Nagarajan, Stefan Haufe
Pubblicato in: Advances in Neural Information Processing Systems, Numero 34, 2021
Editore: Neural Information Processing Systems

PyBispectra: an open-source toolbox for advanced electrophysiological signal processing using the bispectrum

Autori: Thomas S. Binns, Franziska Pellegrini, Tin Jurhar, Stefan Haufe
Pubblicato in: Abstracts of Neural Traces 2024 - Advanced M/EEG Methods and Clinical Applications Workshop, 2025
Editore: TU Berlin

Enhancing Brain Source Reconstruction Through Pseudo-Inverse Initialization and 3D Neural Networks

Autori: Marco Morik, Ali Hashemi, Klaus-Robert Müller, Stefan Haufe, Shinichi Nakajima
Pubblicato in: Abstracts of Neural Traces 2024 - Advanced M/EEG Methods and Clinical Applications Workshop, 2025
Editore: TU Berlin

Correlated Components Analysis - Extracting Reliable Dimensions in Multivariate Data

Autori: Lucas C. Parra, Stefan Haufe, Jacek P. Dmochowski
Pubblicato in: Neurons, Behavior, Data analysis, and Theory, Numero 2, 2024, ISSN 2690-2664
Editore: NBDT
DOI: 10.51628/001c.7125

Identifying good practices for detecting inter-regional linear functional connectivity from EEG

Autori: Franziska Pellegrini; Arnaud Delorme; Vadim Nikulin; Stefan Haufe
Pubblicato in: NeuroImage, Numero 277, 2023, Pagina/e 120218, ISSN 1095-9572
Editore: 1053-8119
DOI: 10.1101/2022.10.05.510753

Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine

Autori: Lorena Cecilia López Steinmetz, Margarita Sison, Rustam Zhumagambetov, Juan Carlos Godoy, Stefan Haufe
Pubblicato in: Frontiers in Psychiatry, Numero 15, 2024, ISSN 1664-0640
Editore: Frontiers Research Foundation
DOI: 10.3389/fpsyt.2024.1376784

Performance reserves in brain-imaging-based phenotype prediction

Autori: Marc-Andre Schulz; Danilo Bzdok; Stefan Haufe; John-Dylan Haynes; Kerstin Ritter
Pubblicato in: Cell Reports, Numero 43(1), 2024, Pagina/e 113597, ISSN 2639-1856
Editore: Cell Press
DOI: 10.1016/j.celrep.2023.113597

Benchmarking the influence of pre-training on explanation performance in MR image classification

Autori: Marta Oliveira; Rick Wilming; Benedict Clark; Céline Budding; Fabian Eitel; Kerstin Ritter; Stefan Haufe; Stefan Haufe; Stefan Haufe
Pubblicato in: Frontiers in Artificial Intelligence, Numero 7, 2024, Pagina/e 1330919, ISSN 2624-8212
Editore: FrontiersIn
DOI: 10.3389/frai.2024.1330919

XAI-TRIS: non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance

Autori: Benedict Clark, Rick Wilming, Stefan Haufe
Pubblicato in: Machine Learning, Numero 113, 2024, Pagina/e 6871-6910, ISSN 0885-6125
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10994-024-06574-3

Shared pathway-specific network mechanisms of dopamine and deep brain stimulation for the treatment of parkinson\textquoterights disease

Autori: T. S. Binns, R. M. Köhler, J. Vanhoecke, M. Chikermane, M. Gerster, T. Merk, F. Pellegrini, J. L. Busch, J. G. V. Habets, A. Cavallo, J.-C. Beyer, B. Al-Fatly, N. Li, A. Horn, P. Krause, K. Faust, G.-H. Schneider, S. Haufe, A. A. Kühn, and W.-J. Neumann
Pubblicato in: Nature Communications, 2025, ISSN 2041-1723
Editore: Nature Publishing Group

Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework

Autori: Ali Hashemi, Chang Cai, Gitta Kutyniok, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
Pubblicato in: NeuroImage, Numero 239, 2021, Pagina/e 118309, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2021.118309

Scrutinizing XAI using linear ground-truth data with suppressor variables

Autori: Rick Wilming, Céline Budding, Klaus-Robert Müller, Stefan Haufe
Pubblicato in: Machine Learning, Numero 111, 2022, Pagina/e 1903-1923, ISSN 1573-0565
Editore: Springer
DOI: 10.1007/s10994-022-06167-y

Cortical networks of parkinsonian gait: a metabolic and functional connectivity study

Autori: Franziska Pellegrini, Nicoló G. Pozzi, Chiara Palmisano, Giorgio Marotta, Andreas Buck, Stefan Haufe, Ioannis U. Isaias
Pubblicato in: Annals of Clinical and Translational Neurology, Numero 11 (10), 2024, Pagina/e 2597 – 2608, ISSN 2328-9503
Editore: Wiley
DOI: 10.1101/2023.10.09.23296653

Dopamine and deep brain stimulation accelerate the neural dynamics of volitional action in Parkinson's disease

Autori: Richard M Köhler, Thomas S Binns, Timon Merk, Guanyu Zhu, Zixiao Yin, Baotian Zhao, Meera Chikermane, Jojo Vanhoecke, Johannes L Busch, Jeroen G V Habets, Katharina Faust, Gerd-Helge Schneider, Alessia Cavallo, Stefan Haufe, Jianguo Zhang, Andrea A Kühn, John-Dylan Haynes, Wolf-Julian Neumann
Pubblicato in: Brain, Numero 147, 2024, Pagina/e 3358-3369, ISSN 0006-8950
Editore: Oxford University Press
DOI: 10.1093/brain/awae219

Pallidal Recordings in Chronically Implanted Dystonic Patients: Mitigation of Tremor-Related Artifacts

Autori: Jasmin Del Vecchio Del Vecchio; Ibrahem Hanafi; Nicoló Gabriele Pozzi; Philipp Capetian; Ioannis U. Isaias; Stefan Haufe; Chiara Palmisano
Pubblicato in: Bioengineering, Numero 10(2), 2023, Pagina/e 476, ISSN 2306-5354
Editore: MDPI
DOI: 10.3390/bioengineering10040476

Robust estimation of noise for electromagnetic brain imaging with the champagne algorithm

Autori: Chang Cai, Ali Hashemi, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Srikantan S. Nagarajan
Pubblicato in: NeuroImage, Numero 225, 2021, Pagina/e 117411, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2020.117411

Joint Learning of Full-Structure Noise in Hierarchical Bayesian Regression Models

Autori: Ali Hashemi; Chang Cai; Yijing Gao; Sanjay Ghosh; Klaus-Robert Müller; Srikantan S. Nagarajan; Stefan Haufe
Pubblicato in: IEEE Transactions on Medical Imaging, Numero 43(2), 2022, Pagina/e 610 - 624, ISSN 0278-0062
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2022.3224085

EXACT: Towards a platform for empirically benchmarking machine learning model explanation methods

Autori: Benedict Clark, Rick Wilming, Artur Dox, Paul Eschenbach, Sami Hached, Daniel Jin Wodke, Michias Taye Zewdie, Uladzislau Bruila, Marta Oliveira, Hjalmar Schulz, Luca Matteo Cornils, Danny Panknin, Ahcène Boubekki, Stefan Haufe
Pubblicato in: Measurement: Sensors, 2025, Pagina/e 101794, ISSN 2665-9174
Editore: Elsevier
DOI: 10.1016/j.measen.2024.101794

Quantifying the Effect of Demixing Approaches on Directed Connectivity Estimated Between Reconstructed EEG Sources

Autori: Alessandra Anzolin, Paolo Presti, Frederik Van De Steen, Laura Astolfi, Stefan Haufe, Daniele Marinazzo
Pubblicato in: Brain Topography, Numero 32/4, 2019, Pagina/e 655-674, ISSN 0896-0267
Editore: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10548-019-00705-z

Gait Event Prediction Using Surface Electromyography in Parkinsonian Patients

Autori: Stefan Haufe; Ioannis U. Isaias; Franziska Pellegrini; Chiara Palmisano
Pubblicato in: Bioengineering, Numero 10(2), 2023, Pagina/e 212, ISSN 2306-5354
Editore: MDPI
DOI: 10.3390/bioengineering10020212

Relationship between regional white matter hyperintensities and alpha oscillations in older adults

Autori: Deniz Kumral, Elena Cesnaite, FraukeBeyer, Simon M. Hofmann, Tilman Hensch, Christian Sander, Ulrich Hegerl, Stefan Haufe, Arno Villringer, A. Veronica Witte, Vadim V. Nikulin
Pubblicato in: Neurobiology of Aging, Numero 01974580, 2022, Pagina/e 1-11, ISSN 0197-4580
Editore: Elsevier BV
DOI: 10.1016/j.neurobiolaging.2021.10.006

Empirical Bayesian localization of event-related time-frequency neural activity dynamics

Autori: Chang Cai, Leighton Hinkley, Yijing Gao, Ali Hashemi, Stefan Haufe, Kensuke Sekihara, Srikantan S. Nagarajan
Pubblicato in: NeuroImage, Numero 258, 2024, Pagina/e 119369, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2022.119369

Sensorimotor Functional Connectivity: A Neurophysiological Factor Related to BCI Performance

Autori: Carmen Vidaurre, Stefan Haufe, Tania Jorajuría, Klaus-Robert Müller, Vadim V. Nikulin
Pubblicato in: Frontiers in Neuroscience, Numero 14, 2020, ISSN 1662-453X
Editore: Frontiers
DOI: 10.3389/fnins.2020.575081

Test–retest reliability of resting‐state EEG in young and older adults

Autori: Popov, Tzvetan; Tröndle, Marius; Barańczuk-Turska, Zofia; Pfeiffer, Christian; Haufe, Stefan; Langer, Nicolas
Pubblicato in: Psychophysiology, Numero 60, 2023, Pagina/e e14268, ISSN 0048-5772
Editore: Blackwell Publishing Inc.
DOI: 10.1111/psyp.14268

A benchmark for prediction of psychiatric multimorbidity from resting EEG data in a large pediatric sample

Autori: Langer, Nicolas; Plomecka, Martyna Beata; Tröndle, Marius; Negi, Anuja; Popov, Tzvetan; Milham, Michael; Haufe, Stefan
Pubblicato in: NeuroImage, Numero 258, 2022, Pagina/e 119348, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2022.119348

Temporal Signatures of Criticality in Human Cortical Excitability as Probed by Early Somatosensory Responses

Autori: Tilman Stephani, Gunnar Waterstraat, Stefan Haufe, Gabriel Curio, Arno Villringer, Vadim V. Nikulin
Pubblicato in: The Journal of Neuroscience, Numero 40/34, 2020, Pagina/e 6572-6583, ISSN 0270-6474
Editore: Society for Neuroscience
DOI: 10.1523/jneurosci.0241-20.2020

Abstracts of Neural Traces 2024 - Advanced M/EEG Methods and Clinical Applications Workshop

Autori: Stefan Haufe, Laura Marzetti, Nikita Agarwal, Margarita Sison, Tien Dung Nguyen, (Editors)
Pubblicato in: 2025
Editore: TU Berlin
DOI: 10.14279/depositonce-21073

Advances in hierarchical Bayesian learning with applications to neuroimaging

Autori: Ali Hashemi
Pubblicato in: 2023
Editore: TU Berlin
DOI: 10.14279/depositonce-18490

Validated novel pipelines to study linear and non-linear be-tween-site functional brain interaction with application in Parkin-sonian gait

Autori: Franziska Pellegrini
Pubblicato in: 2025
Editore: FU Berlin

Estimating Time Delays between Signals under Mixed Noise Influence with Novel Cross- and Bispectral Methods

Autori: Tin Jurhar, Franziska Pellegrini, Ana I. Nuñes del Toro, Tilman Stephani, Guido Nolte, Stefan Haufe
Pubblicato in: ArXiv preprint server, 2025
Editore: ArXiv preprint server

Effect of MRI Defacing on EEG Forward and Inverse Modeling

Autori: Angela Mitrovska, Stefan Haufe
Pubblicato in: biorXiv preprint server, 2025
Editore: Cold Spring Harbor Laboratory
DOI: 10.1101/2025.03.11.642561

How forgiving are M/EEG inverse solutions to noise level misspecification? An excursion into the BSI-Zoo

Autori: Anuja Negi, Stefan Haufe, Alexandre Gramfort, Ali Hashemi
Pubblicato in: biorXiv preprint server, 2025
Editore: Cold Spring Harbor Laboratory
DOI: 10.1101/2025.03.12.642831

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