Lauri T. Parkkonen

Action-related brain dynamics during leader-follower coordination

This study examines brain dynamics during leader-follower coordination using MEG and kinematics, finding distinct spectral patterns in leaders and followers.

Interpretable Decoding of Frequency-Resolved Functional Connectivity

This paper introduces a deep learning framework, FC-CNN, to predict brain states from frequency-resolved MEG functional connectivity and shows it outperforms conventional methods in age prediction.

Inter-brain functional connectivity: Are we measuring the right thing?

This study evaluates how inter-individual frequency differences affect connectivity metrics in MEG/EEG hyperscanning and finds that amplitude envelope correlation is more reliable than phase-based metrics.

Frequency-resolved cortical functional connectivityacross the adult lifespan

This study examines age-related changes in frequency-specific resting-state functional connectivity across the adult lifespan using MEG data and finds associations with sensorimotor function.

Non-invasive tracking of hippocampal theta oscillations

This paper shows that hippocampal theta oscillations can be detected and tracked non-invasively using MEG, validated across rodent and human datasets.

Comparing MEG and EEG measurement set-ups for a brain--computer interface based on selective auditory attention

The paper compares MEG and EEG for auditory attention-based brain-computer interfaces, finding that EEG with optimal channel placement can achieve comparable performance to MEG.

Early stage of life is characterized by increased excitability of the auditory cortex in both humans and rats

The paper compares auditory cortex excitability in humans and rats, finding similar age-related patterns in evoked responses.

Target of selective auditory attention can be robustly followed with MEG

The paper demonstrates that selective auditory attention can be reliably detected in unaveraged MEG responses with high accuracy using support vector machine classification.

Spectral signatures of cross-modal attentional control in the adolescent brain and their link with physical activity and aerobic fitness levels

This study examines cross-modal attentional control in adolescents using MEG, finding differences in visual and auditory cortex engagement linked to physical activity levels.

Imaging cortical engagement during motor imagery, mental arithmetic, and silent word generation using MEG beta rhythm

This study maps cortical engagement during motor imagery and cognitive tasks using MEG beta rhythm changes, showing task-specific patterns and high classification accuracy.

Child specific activation in left auditory cortex predicts behavioral performance in inhibition tasks.

The paper shows that unique left auditory cortex activity in children predicts performance in inhibition tasks, suggesting different brain mechanisms compared to adults.

Joint estimation of neural sources and their functional connections from MEG data

This paper introduces a joint estimation method for neural sources and their functional connections from MEG data, showing improved accuracy compared to traditional sequential approaches.

Musicianship can be decoded from magnetic resonance images

The paper shows that musicianship can be predicted from brain structure MRI data using machine learning, achieving significant classification accuracy.

Atypical MEG inter-subject correlation during listening to continuous natural speech in dyslexia

This paper finds atypical inter-subject correlation (ISC) in dyslexic individuals during speech listening, linked to reading-related measures and suggesting neural processing differences.

Comparison of beamformer implementations for MEG source localization

This study compares LCMV beamformer implementations across four MEG toolboxes, finding reliable source localization at typical SNR but differences in sensitivity to preprocessing parameters and SNR effects.

PCA-based source-space contrast maps reveal psychologically meaningful individual differences in continuous MEG activity

The paper uses PCA on MEG data to identify brain activity patterns linked to psychological traits during focused attention and mind wandering.

Potential of on-scalp MEG: Robust detection of human visual gamma-band responses

This study demonstrates that on-scalp MEG using optically-pumped magnetometers can robustly detect human visual gamma-band responses with improved spatial resolution compared to conventional SQUID-based MEG.

Optical Co-registration of MRI and On-scalp MEG

This paper develops and validates a co-registration method for on-scalp MEG systems, improving accuracy and ease of use compared to traditional methods.

On-scalp MEG system utilizing an actively shielded array of optically-pumped magnetometers

This paper describes an on-scalp MEG system using optically-pumped magnetometers with external compensation coils to reduce ambient magnetic fields and improve sensor performance.

Across-subject offline decoding of motor imagery from MEG and EEG

This study compares methods for inter-subject decoding of motor imagery from MEG and EEG, finding that multi-task learning with logistic regression and l2,1-norm regularization achieves the best accuracy when trained on motor imagery data.

Requirements for coregistration accuracy in on-scalp MEG

This study quantifies the requirements for sensor coregistration accuracy in on-scalp MEG systems using simulations, finding that position errors have a larger impact than orientation errors.

Measuring MEG closer to the brain: Performance of on-scalp sensor arrays

This study compares the performance of on-scalp OPM arrays with a standard SQUID array in MEG, finding higher signal power and information capacity in OPMs.