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

Informacje na temat projektu

TrueBrainConnect

Identyfikator umowy o grant: 758985

DOI

10.3030/758985

Projekt został zamknięty

Data podpisania przez KE 14 Marca 2018

Data rozpoczęcia 1 Stycznia 2019

Data zakończenia 31 Grudnia 2024

Finansowanie w ramach

• EXCELLENT SCIENCE - European Research Council (ERC)

Koszt całkowity

€ 1 499 875,00

Wkład UE

€ 1 499 875,00

Koordynowany przez

TECHNISCHE UNIVERSITAT BERLIN
Germany

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Publikacje

Conference proceedings (17)

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

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

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

Autorzy: Tao Tu, John Paisley, Stefan Haufe, Paul Sajda
Opublikowane w: Advances in Neural Information Processing Systems, Numer 32, 2019, Strona(/y) 4662-4671
Wydawca: Neural Information Processing Systems

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

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

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

Autorzy: Tien Dung Nguyen, Franziska Pellegrini, Zixuan Liu, Arnaud Delorme, Stefan Haufe
Opublikowane w: Abstracts of Neural Traces 2024 - Advanced M/EEG Methods and Clinical Applications Workshop, 2025
Wydawca: TU Berlin

The effect of whitening on explanation performance

Autorzy: Benedict Clark, Stoyan Karastoyanov, Rick Wilming, Stefan Haufe
Opublikowane w: IAI Workshop @ NeurIPS 2024, 2024
Wydawca: Neural Information Processing Systems Foundation

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

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

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

Autorzy: Nikita Agarwal, Tzvetan Popov, Marius Tröndle, Nicolas Langer, Stefan Haufe
Opublikowane w: Abstracts of Neural Traces 2024 - Advanced M/EEG Methods and Clinical Applications Workshop, 2025
Wydawca: TU Berlin

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

Autorzy: Veronika Shamova, Subhi Arafat, Stefan Haufe
Opublikowane w: Abstracts of Neural Traces 2024 - Advanced M/EEG Methods and Clinical Applications Workshop, 2025
Wydawca: TU Berlin

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

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

Multivariate connectivity methods in the MNE-Python toolbox

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

Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables

Autorzy: Wilming, Rick; Kieslich, Leo; Clark, Benedict; Haufe, Stefan
Opublikowane w: Proceedings of the 40th International Conference on Machine Learning, PMLR, Numer 202, 2023, Strona(/y) 37091-37107
Wydawca: PMLR
DOI: 10.48550/arxiv.2306.01464

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

Autorzy: Anuja Negi, Stefan Haufe, Alexandre Gramfort, Ali Hashemi
Opublikowane w: Abstracts of Neural Traces 2024 - Advanced M/EEG Methods and Clinical Applications Workshop, 2025
Wydawca: TU Berlin

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

Autorzy: Veronika Shamova, Elena Cesnaite, Vadim Nikulin, Stefan Haufe
Opublikowane w: Abstracts of Neural Traces 2024 - Advanced M/EEG Methods and Clinical Applications Workshop, 2025
Wydawca: TU Berlin

Position: XAI needs formal notions of explanation correctness

Autorzy: Stefan Haufe, Rick Wilming, Benedict Clark, Rustam Zhumagambetov, Danny Panknin, Ahcène Boubekki
Opublikowane w: IAI Workshop @ NeurIPS 2024, 2024
Wydawca: Neural Information Processing Systems Foundation

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

Autorzy: Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus Robert Muller, Srikantan Nagarajan, Stefan Haufe
Opublikowane w: Advances in Neural Information Processing Systems, Numer 34, 2021
Wydawca: Neural Information Processing Systems

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

Autorzy: Thomas S. Binns, Franziska Pellegrini, Tin Jurhar, Stefan Haufe
Opublikowane w: Abstracts of Neural Traces 2024 - Advanced M/EEG Methods and Clinical Applications Workshop, 2025
Wydawca: TU Berlin

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

Autorzy: Marco Morik, Ali Hashemi, Klaus-Robert Müller, Stefan Haufe, Shinichi Nakajima
Opublikowane w: Abstracts of Neural Traces 2024 - Advanced M/EEG Methods and Clinical Applications Workshop, 2025
Wydawca: TU Berlin

Peer reviewed articles (23)

Correlated Components Analysis - Extracting Reliable Dimensions in Multivariate Data

Autorzy: Lucas C. Parra, Stefan Haufe, Jacek P. Dmochowski
Opublikowane w: Neurons, Behavior, Data analysis, and Theory, Numer 2, 2024, ISSN 2690-2664
Wydawca: NBDT
DOI: 10.51628/001c.7125

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

Autorzy: Franziska Pellegrini; Arnaud Delorme; Vadim Nikulin; Stefan Haufe
Opublikowane w: NeuroImage, Numer 277, 2023, Strona(/y) 120218, ISSN 1095-9572
Wydawca: 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

Autorzy: Lorena Cecilia López Steinmetz, Margarita Sison, Rustam Zhumagambetov, Juan Carlos Godoy, Stefan Haufe
Opublikowane w: Frontiers in Psychiatry, Numer 15, 2024, ISSN 1664-0640
Wydawca: Frontiers Research Foundation
DOI: 10.3389/fpsyt.2024.1376784

Performance reserves in brain-imaging-based phenotype prediction

Autorzy: Marc-Andre Schulz; Danilo Bzdok; Stefan Haufe; John-Dylan Haynes; Kerstin Ritter
Opublikowane w: Cell Reports, Numer 43(1), 2024, Strona(/y) 113597, ISSN 2639-1856
Wydawca: Cell Press
DOI: 10.1016/j.celrep.2023.113597

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

Autorzy: Marta Oliveira; Rick Wilming; Benedict Clark; Céline Budding; Fabian Eitel; Kerstin Ritter; Stefan Haufe; Stefan Haufe; Stefan Haufe
Opublikowane w: Frontiers in Artificial Intelligence, Numer 7, 2024, Strona(/y) 1330919, ISSN 2624-8212
Wydawca: FrontiersIn
DOI: 10.3389/frai.2024.1330919

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

Autorzy: Benedict Clark, Rick Wilming, Stefan Haufe
Opublikowane w: Machine Learning, Numer 113, 2024, Strona(/y) 6871-6910, ISSN 0885-6125
Wydawca: 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

Autorzy: 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
Opublikowane w: Nature Communications, 2025, ISSN 2041-1723
Wydawca: Nature Publishing Group

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

Autorzy: Ali Hashemi, Chang Cai, Gitta Kutyniok, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
Opublikowane w: NeuroImage, Numer 239, 2021, Strona(/y) 118309, ISSN 1053-8119
Wydawca: Academic Press
DOI: 10.1016/j.neuroimage.2021.118309

Scrutinizing XAI using linear ground-truth data with suppressor variables

Autorzy: Rick Wilming, Céline Budding, Klaus-Robert Müller, Stefan Haufe
Opublikowane w: Machine Learning, Numer 111, 2022, Strona(/y) 1903-1923, ISSN 1573-0565
Wydawca: Springer
DOI: 10.1007/s10994-022-06167-y

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

Autorzy: Franziska Pellegrini, Nicoló G. Pozzi, Chiara Palmisano, Giorgio Marotta, Andreas Buck, Stefan Haufe, Ioannis U. Isaias
Opublikowane w: Annals of Clinical and Translational Neurology, Numer 11 (10), 2024, Strona(/y) 2597 – 2608, ISSN 2328-9503
Wydawca: Wiley
DOI: 10.1101/2023.10.09.23296653

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

Autorzy: 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
Opublikowane w: Brain, Numer 147, 2024, Strona(/y) 3358-3369, ISSN 0006-8950
Wydawca: Oxford University Press
DOI: 10.1093/brain/awae219

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

Autorzy: Jasmin Del Vecchio Del Vecchio; Ibrahem Hanafi; Nicoló Gabriele Pozzi; Philipp Capetian; Ioannis U. Isaias; Stefan Haufe; Chiara Palmisano
Opublikowane w: Bioengineering, Numer 10(2), 2023, Strona(/y) 476, ISSN 2306-5354
Wydawca: MDPI
DOI: 10.3390/bioengineering10040476

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

Autorzy: Chang Cai, Ali Hashemi, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Srikantan S. Nagarajan
Opublikowane w: NeuroImage, Numer 225, 2021, Strona(/y) 117411, ISSN 1053-8119
Wydawca: Academic Press
DOI: 10.1016/j.neuroimage.2020.117411

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

Autorzy: Ali Hashemi; Chang Cai; Yijing Gao; Sanjay Ghosh; Klaus-Robert Müller; Srikantan S. Nagarajan; Stefan Haufe
Opublikowane w: IEEE Transactions on Medical Imaging, Numer 43(2), 2022, Strona(/y) 610 - 624, ISSN 0278-0062
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2022.3224085

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

Autorzy: 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
Opublikowane w: Measurement: Sensors, 2025, Strona(/y) 101794, ISSN 2665-9174
Wydawca: Elsevier
DOI: 10.1016/j.measen.2024.101794

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

Autorzy: Alessandra Anzolin, Paolo Presti, Frederik Van De Steen, Laura Astolfi, Stefan Haufe, Daniele Marinazzo
Opublikowane w: Brain Topography, Numer 32/4, 2019, Strona(/y) 655-674, ISSN 0896-0267
Wydawca: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10548-019-00705-z

Gait Event Prediction Using Surface Electromyography in Parkinsonian Patients

Autorzy: Stefan Haufe; Ioannis U. Isaias; Franziska Pellegrini; Chiara Palmisano
Opublikowane w: Bioengineering, Numer 10(2), 2023, Strona(/y) 212, ISSN 2306-5354
Wydawca: MDPI
DOI: 10.3390/bioengineering10020212

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

Autorzy: Deniz Kumral, Elena Cesnaite, FraukeBeyer, Simon M. Hofmann, Tilman Hensch, Christian Sander, Ulrich Hegerl, Stefan Haufe, Arno Villringer, A. Veronica Witte, Vadim V. Nikulin
Opublikowane w: Neurobiology of Aging, Numer 01974580, 2022, Strona(/y) 1-11, ISSN 0197-4580
Wydawca: Elsevier BV
DOI: 10.1016/j.neurobiolaging.2021.10.006

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

Autorzy: Chang Cai, Leighton Hinkley, Yijing Gao, Ali Hashemi, Stefan Haufe, Kensuke Sekihara, Srikantan S. Nagarajan
Opublikowane w: NeuroImage, Numer 258, 2024, Strona(/y) 119369, ISSN 1053-8119
Wydawca: Academic Press
DOI: 10.1016/j.neuroimage.2022.119369

Sensorimotor Functional Connectivity: A Neurophysiological Factor Related to BCI Performance

Autorzy: Carmen Vidaurre, Stefan Haufe, Tania Jorajuría, Klaus-Robert Müller, Vadim V. Nikulin
Opublikowane w: Frontiers in Neuroscience, Numer 14, 2020, ISSN 1662-453X
Wydawca: Frontiers
DOI: 10.3389/fnins.2020.575081

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

Autorzy: Popov, Tzvetan; Tröndle, Marius; Barańczuk-Turska, Zofia; Pfeiffer, Christian; Haufe, Stefan; Langer, Nicolas
Opublikowane w: Psychophysiology, Numer 60, 2023, Strona(/y) e14268, ISSN 0048-5772
Wydawca: Blackwell Publishing Inc.
DOI: 10.1111/psyp.14268

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

Autorzy: Langer, Nicolas; Plomecka, Martyna Beata; Tröndle, Marius; Negi, Anuja; Popov, Tzvetan; Milham, Michael; Haufe, Stefan
Opublikowane w: NeuroImage, Numer 258, 2022, Strona(/y) 119348, ISSN 1053-8119
Wydawca: Academic Press
DOI: 10.1016/j.neuroimage.2022.119348

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

Autorzy: Tilman Stephani, Gunnar Waterstraat, Stefan Haufe, Gabriel Curio, Arno Villringer, Vadim V. Nikulin
Opublikowane w: The Journal of Neuroscience, Numer 40/34, 2020, Strona(/y) 6572-6583, ISSN 0270-6474
Wydawca: Society for Neuroscience
DOI: 10.1523/jneurosci.0241-20.2020

Monographic books (1)

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

Autorzy: Stefan Haufe, Laura Marzetti, Nikita Agarwal, Margarita Sison, Tien Dung Nguyen, (Editors)
Opublikowane w: 2025
Wydawca: TU Berlin
DOI: 10.14279/depositonce-21073

Thesis and dissertations (2)

Advances in hierarchical Bayesian learning with applications to neuroimaging

Autorzy: Ali Hashemi
Opublikowane w: 2023
Wydawca: 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

Autorzy: Franziska Pellegrini
Opublikowane w: 2025
Wydawca: FU Berlin

Other (3)

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

Autorzy: Tin Jurhar, Franziska Pellegrini, Ana I. Nuñes del Toro, Tilman Stephani, Guido Nolte, Stefan Haufe
Opublikowane w: ArXiv preprint server, 2025
Wydawca: ArXiv preprint server

Effect of MRI Defacing on EEG Forward and Inverse Modeling

Autorzy: Angela Mitrovska, Stefan Haufe
Opublikowane w: biorXiv preprint server, 2025
Wydawca: 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

Autorzy: Anuja Negi, Stefan Haufe, Alexandre Gramfort, Ali Hashemi
Opublikowane w: biorXiv preprint server, 2025
Wydawca: Cold Spring Harbor Laboratory
DOI: 10.1101/2025.03.12.642831