Immaturity of somatosensory cortical processing in human newborns. - Leena Lauronen; Päivi Nevalainen; Heidi Wikström; Lauri Parkkonen; Yoshio Okada; Elina Pihko (NeuroImage, 2006)

Denoising Single Trial Event Related Magnetoencephalographic Recordings. - Elina Karp; Lauri Parkkonen; Ricardo Vigário (ICA, 2009)

Motion sensitivity of human V6: A magnetoencephalography study. - Veronika von Pföstl; Linda Stenbacka; Simo Vanni; Lauri Parkkonen; Claudio Galletti; Patrizia Fattori (NeuroImage, 2009)

Independent component analysis of short-time Fourier transforms for spontaneous EEG/MEG analysis. - Aapo Hyvärinen; Pavan Ramkumar; Lauri Parkkonen; Riitta Hari (NeuroImage, 2010)

rtMEG: A Real-Time Software Interface for Magnetoencephalography. - Gustavo P. Sudre; Lauri Parkkonen; Elizabeth Bock; Sylvain Baillet; Wei Wang 086; Douglas J. Weber (Comput. Intell. Neurosci., 2011)

Good practice for conducting and reporting MEG research. - Joachim Gross; Sylvain Baillet; Gareth R. Barnes; Richard N. A. Henson; Arjan Hillebrand; Ole Jensen; Karim Jerbi; Vladimir Litvak; Burkhard Maess; Robert Oostenveld; Lauri Parkkonen; Jason R. Taylor; et al. (NeuroImage, 2013)

Decoding magnetoencephalographic rhythmic activity using spectrospatial information. - Jukka-Pekka Kauppi; Lauri Parkkonen; Riitta Hari; Aapo Hyvärinen (NeuroImage, 2013)

Left fronto-temporal dynamics during agreement processing: Evidence for feature-specific computations. - Nicola Molinaro; Horacio A. Barber; Alejandro Pérez Fernández; Lauri Parkkonen; Manuel Carreiras (NeuroImage, 2013)

MNE software for processing MEG and EEG data. - Alexandre Gramfort; Martin Luessi; Eric Larson; Denis A. Engemann; Daniel Strohmeier; Christian Brodbeck; Lauri Parkkonen; Matti S. Hämäläinen (NeuroImage, 2014)

Group-level spatial independent component analysis of Fourier envelopes of resting-state MEG data. - Pavan Ramkumar; Lauri Parkkonen; Aapo Hyvärinen (NeuroImage, 2014)

Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals. - Jukka-Pekka Kauppi; Melih Kandemir; Veli-Matti Saarinen; Lotta Hirvenkari; Lauri Parkkonen; Arto Klami; Riitta Hari; Samuel Kaski (NeuroImage, 2015)

Comparing the Performance of Popular MEG/EEG Artifact Correction Methods in an Evoked-Response Study. - Niels Trusbak Haumann; Lauri Parkkonen; Marina Kliuchko; Peter Vuust; Elvira Brattico (Comput. Intell. Neurosci., 2016)

Neural signatures of hand kinematics in leaders vs. followers: A dual-MEG study. - Guangyu Zhou; Mathieu Bourguignon; Lauri Parkkonen; Riitta Hari (NeuroImage, 2016)

Measuring MEG closer to the brain: Performance of on-scalp sensor arrays. - Joonas Iivanainen; Matti Stenroos; Lauri Parkkonen (NeuroImage, 2017)

Tracking of dynamic functional connectivity from MEG data with Kalman filtering. - Filip Tronarp; Narayan Puthanmadam Subramaniyam; Simo Särkkä; Lauri Parkkonen (EMBC, 2018)

Robust and highly adaptable brain-computer interface with convolutional net architecture based on a generative model of neuromagnetic measurements. - Ivan Zubarev; Rasmus Zetter; Hanna-Leena Halme; Lauri Parkkonen (CoRR, 2018)

Consistency and similarity of MEG- and fMRI-signal time courses during movie viewing. - Kaisu Lankinen; Jukka Saari; Yevhen Hlushchuk; Pia Tikka; Lauri Parkkonen; Riitta Hari; Miika Koskinen (NeuroImage, 2018)

Influence of Co-Registration Errors on the Performance of Anatomical Constraints in MEG Source Connectivity Analysis. - Federico Chella; Laura Marzetti; Alessio Basti; Matti Stenroos; Lauri Parkkonen; Risto J. Ilmoniemi; Vittorio Pizzella (SMC, 2019)

Autoencoding sensory substitution. - Viktor Tóth; Lauri Parkkonen (CoRR, 2019)

The impact of improved MEG-MRI co-registration on MEG connectivity analysis. - Federico Chella; Laura Marzetti; Matti Stenroos; Lauri Parkkonen; Risto J. Ilmoniemi; Gian Luca Romani; Vittorio Pizzella (NeuroImage, 2019)

On-scalp MEG system utilizing an actively shielded array of optically-pumped magnetometers. - Joonas Iivanainen; Rasmus Zetter; Mikael Grön; Karoliina Hakkarainen; Lauri Parkkonen (NeuroImage, 2019)

Decoding attentional states for neurofeedback: Mindfulness vs. wandering thoughts. - Alexander Y. Zhigalov; Erkka Heinilä; Tiina Parviainen; Lauri Parkkonen; Aapo Hyvärinen (NeuroImage, 2019)

Adaptive neural network classifier for decoding MEG signals. - Ivan Zubarev; Rasmus Zetter; Hanna-Leena Halme; Lauri Parkkonen (NeuroImage, 2019)

Non-Linear Dynamical Analysis of Resting Tremor for Demand-Driven Deep Brain Stimulation. - Carmen Camara; Narayan Puthanmadam Subramaniyam; Kevin Warwick; Lauri Parkkonen; Tipu Z. Aziz; Ernesto Pereda (Sensors, 2019)

Comparison of beamformer implementations for MEG source localization. - Amit Jaiswal; Jukka Nenonen; Matti Stenroos; Alexandre Gramfort; Sarang S. Dalal; Britta U. Westner; Vladimir Litvak; John C. Mosher; Jan-Mathijs Schoffelen; Caroline Witton; Robert Oostenveld; Lauri Parkkonen (NeuroImage, 2020)

Atypical MEG inter-subject correlation during listening to continuous natural speech in dyslexia. - Anja Thiede; Enrico Glerean; Teija Kujala; Lauri Parkkonen (NeuroImage, 2020)

Spatial sampling of MEG and EEG based on generalized spatial-frequency analysis and optimal design. - Joonas Iivanainen; Antti Mäkinen; Rasmus Zetter; Matti Stenroos; Risto J. Ilmoniemi; Lauri Parkkonen (NeuroImage, 2021)

Extended Signal-Space Separation Method for Improved Interference Suppression in MEG. - Liisa Helle; Jukka Nenonen; Eric Larson; Juha Simola; Lauri Parkkonen; Samu Taulu (IEEE Trans. Biomed. Eng., 2021)

Activity level in left auditory cortex predicts behavioral performance in inhibition tasks in children. - Sam van Bijnen; Lauri Parkkonen; Tiina Parviainen (NeuroImage, 2022)

Calibration and Localization of Optically Pumped Magnetometers Using Electromagnetic Coils. - Joonas Iivanainen; Amir Borna; Rasmus Zetter; Tony R. Carter; Julia M. Stephen; Jim McKay; Lauri Parkkonen; Samu Taulu; Peter D. D. Schwindt (Sensors, 2022)

MNEflow: Neural networks for EEG/MEG decoding and interpretation. - Ivan Zubarev; Gavriela Vranou; Lauri Parkkonen (SoftwareX, 2022)

Unsupervised representation learning of spontaneous MEG data with nonlinear ICA. - Yongjie Zhu; Tiina Parviainen; Erkka Heinilä; Lauri Parkkonen; Aapo Hyvärinen (NeuroImage, 2023)

Using normative modeling and machine learning for detecting mild traumatic brain injury from magnetoencephalography data. - Veera Itälinna; Hanna Kaltiainen; Nina Forss; Mia Liljeström; Lauri Parkkonen (PLoS Comput. Biol., 2023)