Samu Taulu
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View article: Tracking Acquisition of Language in Kids (TALK) Study Protocol: A longitudinal investigation of infants at High vs. Low risk for atypical speech and language development
Tracking Acquisition of Language in Kids (TALK) Study Protocol: A longitudinal investigation of infants at High vs. Low risk for atypical speech and language development Open
The sensitive period for phonetic learning, normally considered to be between 6 to 12 months of age, has been demonstrated as one of the earliest milestones for language development. Infant speech processing towards the end of the sensitiv…
View article: Refined signal space separation methods for on-scalp MEG systems
Refined signal space separation methods for on-scalp MEG systems Open
Objective. The reliability of biomagnetic measurements is improved by data processing techniques like the signal space separation (SSS) method, which transforms multichannel signals into device-independent channels with separate components…
View article: Spatiotemporal signal space separation for regions of interest: Application for extracting neuromagnetic responses evoked by deep brain stimulation
Spatiotemporal signal space separation for regions of interest: Application for extracting neuromagnetic responses evoked by deep brain stimulation Open
Magnetoencephalography (MEG) recordings are often contaminated by interference that can exceed the amplitude of physiological brain activity by several orders of magnitude. Furthermore, the activity of interference sources may spatially ex…
View article: Single-trial classification of evoked responses to auditory tones using OPM- and SQUID-MEG
Single-trial classification of evoked responses to auditory tones using OPM- and SQUID-MEG Open
Objective. Optically pumped magnetometers (OPMs) are emerging as a near-room-temperature alternative to superconducting quantum interference devices (SQUIDs) for magnetoencephalography (MEG). In contrast to SQUIDs, OPMs can be placed in a …
View article: An Iterative Implementation of the Signal Space Separation Method for Magnetoencephalography Systems with Low Channel Counts
An Iterative Implementation of the Signal Space Separation Method for Magnetoencephalography Systems with Low Channel Counts Open
The signal space separation (SSS) method is routinely employed in the analysis of multichannel magnetic field recordings (such as magnetoencephalography (MEG) data). In the SSS method, signal vectors are posed as a multipole expansion of t…
View article: A minimum assumption approach to MEG sensor array design
A minimum assumption approach to MEG sensor array design Open
Objective. Our objective is to formulate the problem of the magnetoencephalographic (MEG) sensor array design as a well-posed engineering problem of accurately measuring the neuronal magnetic fields. This is in contrast to the traditional …
View article: Robust estimation of brain stimulation evoked responses using magnetoencephalography
Robust estimation of brain stimulation evoked responses using magnetoencephalography Open
Magnetoencephalography (MEG) recordings are often contaminated by interference that can exceed the amplitude of physiological brain activity by several orders of magnitude. Furthermore, activity of interference sources may ‘leak’ into the …
View article: A Minimum Assumption Approach to MEG Sensor Array Design
A Minimum Assumption Approach to MEG Sensor Array Design Open
Objective: Our objective is to formulate the problem of the Magnetoencephalographic (MEG) sensor array design as a well-posed engineering problem of accurately measuring the neuronal magnetic fields. This is in contrast to the traditional …
View article: The effect of spatial sampling on the resolution of the magnetostatic inverse problem
The effect of spatial sampling on the resolution of the magnetostatic inverse problem Open
In magnetoencephalography, linear minimum norm inverse methods are commonly employed when a solution with minimal a priori assumptions is desirable. These methods typically produce spatially extended inverse solutions, even when the genera…
View article: The effect of spatial sampling on the resolution of the magnetostatic inverse problem.
The effect of spatial sampling on the resolution of the magnetostatic inverse problem. Open
In magnetoencephalography, linear minimum norm inverse methods are commonly employed when a solution with minimal a priori assumptions is desirable. These methods typically produce spatially extended inverse solutions, even when the genera…
View article: On the non-uniqueness of the quasi-static magnetic forward problem and its impact on source current reconstruction
On the non-uniqueness of the quasi-static magnetic forward problem and its impact on source current reconstruction Open
We introduce a formulation where individual line segments of a current loop have translationally non-invariant contributions to the electro-quasi-static magnetic scalar potential and magnetic field in source-free regions. While closed curr…
View article: Effects of head modeling errors on the spatial frequency representation of MEG
Effects of head modeling errors on the spatial frequency representation of MEG Open
Objectives. We aim to investigate the effects of head model inaccuracies on signal and source reconstruction accuracies for various sensor array distances to the head. This allows for the assessment of the importance of head modeling for n…
View article: Effects of head modeling errors on the spatial frequency representation of MEG
Effects of head modeling errors on the spatial frequency representation of MEG Open
Optically-pumped magnetometers (OPM) -- next-generation magnetoencephalography (MEG) sensors -- may be placed directly on the head, unlike the more commonly used superconducting quantum interference device (SQUID) sensors, which must be pl…
View article: Effcient magnetometer sensor array selection for signal reconstruction and brain source localization
Effcient magnetometer sensor array selection for signal reconstruction and brain source localization Open
Magnetoencephalography (MEG) is a noninvasive method for measuring magnetic flux signals caused by brain activity using sensor arrays located on or above the scalp. A common strategy for monitoring brain activity is to place sensors on a n…
View article: Infant brain imaging using magnetoencephalography: Challenges, solutions, and best practices
Infant brain imaging using magnetoencephalography: Challenges, solutions, and best practices Open
The excellent temporal resolution and advanced spatial resolution of magnetoencephalography (MEG) makes it an excellent tool to study the neural dynamics underlying cognitive processes in the developing brain. Nonetheless, a number of chal…
View article: Calibration and Localization of Optically Pumped Magnetometers Using Electromagnetic Coils
Calibration and Localization of Optically Pumped Magnetometers Using Electromagnetic Coils Open
In this paper, we propose a method to estimate the position, orientation, and gain of a magnetic field sensor using a set of (large) electromagnetic coils. We apply the method for calibrating an array of optically pumped magnetometers (OPM…
View article: Improving Localization Accuracy of Neural Sources by Pre-processing: Demonstration With Infant MEG Data
Improving Localization Accuracy of Neural Sources by Pre-processing: Demonstration With Infant MEG Data Open
We discuss specific challenges and solutions in infant MEG, which is one of the most technically challenging areas of MEG studies. Our results can be generalized to a variety of challenging scenarios for MEG data acquisition, including cli…
View article: Calibration and localization of optically pumped magnetometers using electromagnetic coils
Calibration and localization of optically pumped magnetometers using electromagnetic coils Open
In this paper, we propose a method to estimate the position, orientation and gain of a magnetic field sensor using a set of (large) electromagnetic coils. We apply the method for calibrating an array of optically pumped magnetometers (OPMs…
View article: Effects of head model inaccuracies on MEG signals and source localization.
Effects of head model inaccuracies on MEG signals and source localization. Open
is to map each of the multipolar sources into an equivalent distributed source on the cortical surface. The method is illustrated through an application to epileptic interictal MEG data.
View article: Reading instruction causes changes in category-selective visual cortex
Reading instruction causes changes in category-selective visual cortex Open
Education sculpts specialized neural circuits for skills like reading that are critical to success in modern society but were not anticipated by the selective pressures of evolution. Does the emergence of brain regions that selectively pro…
View article: Reduced Theta Sampling in Infants at Risk for Dyslexia across the Sensitive Period of Native Phoneme Learning
Reduced Theta Sampling in Infants at Risk for Dyslexia across the Sensitive Period of Native Phoneme Learning Open
Research on children and adults with developmental dyslexia—a specific difficulty in learning to read and spell—suggests that phonological deficits in dyslexia are linked to basic auditory deficits in temporal sampling. However, it remains…