Magnetoencephalography

…Utilizing magnetoencephalography and concurrent breathing measurements, we conducted a comparative analysis of Respiratory-Modulated Brain Oscillations (RMBOs) during oral and nasal breathing. Our findings suggest an association between nasal breathing and the generation of RMBOs. This observation hints at the physiological mechanisms linking respiration and brain activity, highlighting the role of nasal breathing in modulating brain functions. Our work contributes to our understa

…imaging and resting-state magnetoencephalography (MEG) recording at baseline and 4-year follow-up. We tested associations between baseline Aβ-binding potentials (B

Inhibitory deficits and an excitation/inhibition(E/I) imbalance arising from loss of inhibitory synapses may predispose to subclinical-epileptiform-activity and contribute to the earliest stages of Alzheimer’s disease(AD), and progressively lead to macroscopic neuronal network dysfunction. The classical brain-criticality-hypothesis posits that neuronal-systems operate at a continuous, second-order phase-transition with E/I-balance serving as primary control parameter. However, we have recently found neuronal systems in vivo may also operate at a discontinuous, first-order phase-transition and

…BHA responses to visual stimulation in magnetoencephalography (MEG). However, it is unclear whether BHA indeed represents visual cortex input or primarily indicates internal changes in brain states. Across three studies, we tested whether BHA signals visual input or changes with internal brain states and can serve as a marker for spatial attention. Using simultaneous EEG-MEG recordings in healthy human subjects, we compared

The connectivity between pairs of brain regions is commonly assessed through the measurement of phase coherence or the correlation of their amplitudes. Despite large evidence linking these measures to brain functions and cognitive processes, a consensus on the mechanistic relationship between both types of coupling modes is lacking. We investigated the hypothesis that a causal relation exists between both types of functional coupling across multiple cortical areas. To this end, we utilized a multisite approach to obtain a time-resolved definition of phase and amplitude coupling parameters. Ana

…brain network recording using magnetoencephalography (MEG) could enhance our understanding of the neurophysiological effects of tES and facilitate closed-loop neuromodulation.A concurrent tES-MEG session will be conducted in 20 adults without a ne

Learning the associations between letters and speech sounds is a crucial step in acquiring reading skills. Previous studies have found that the brain's process of linking letters and speech sounds is highly dynamic during initial learning and takes years to become fully automatic. However, learning-related changes (e.g., newly-learned and overlearned) in this audiovisual processing are not well characterized. In this study, we first trained adult native Finnish speakers to associate novel foreign letters with familiar Finnish speech sounds. We then directly compared the audiovisual processing

…Thus, we combined magnetoencephalography (MEG) and machine learning approaches to characterize and disentangle the structure of lagged correlations in the human brain.We computed lagged correlations between all pairs of cortical regions and frequencies of neural activity. We employed variational autoe

…We obtained eyes closed source-level magnetoencephalography recordings from demographically matched biomarker confirmed AD patients in the mild cognitive impairment and dem

…neuroimaging modalities like magnetoencephalography (MEG) are increasingly used for pre-surgical mapping due to high temporal resolution. Phase-amplitude coupling (PAC), a form of cross-frequency coupling, involves the modulation of high-frequency amplitude by the phase of low-frequency oscillations. PAC observed during tasks reflect interactions between microscale and macroscale neural ensembles. The objective of this study was characterizing whether PAC differs during t

…method based on source reconstructed magnetoencephalography (MEG) resting human brain data to isolate rhythmic episodes from the neural signal. To ensure the detection of genuine oscillatory activity across brain volumes, only local maximum peaks in the power spectra are selected. Pea

…To address this, we recorded magnetoencephalography (MEG) in human subjects that performed two rule-based vocalization tasks. In the first experiment, content (one of two vowels) and production (overt or covert) were instructed separately and in random order. Apply

…We then show that magnetoencephalography (MEG) measurements during tACS deviate from the predictions of this model. Specifically, we measured brain activity in human subjects either during 10 Hz vis

…Resting-state magnetoencephalography (MEG) and

…We recorded magnetoencephalography (MEG) in human participants listening to acoustic sequences with different levels of regularity. Representational similarity analysis revealed how,

…the high temporal precision of magnetoencephalography (

Respiration-entrained neural activities have been theorized to play an integral part in perceptual processing. Given that breathing is a flexible process and can be partly controlled voluntarily, these distinct features may provide a window into how brain-respiration interactions coordinate visual perception. In this study, participants’ breathing was paced at a normal or slow rate while concurrently discriminating fearful from neutral expressions presented during ongoing inspiration or expiration. Behavioral results showed that slow-paced breathing relative to normal-paced breathing decreased

Trends in NeuroAI is a reading group hosted by the MedARC Neuroimaging & AI lab (https://medarc.ai/fmri). This will be an informal journal club presentation, we do not have an author of the paper joining us. Title: Brain decoding: toward real-time reconstruction of visual perception Abstract: In the past five years, the use of generative and foundational AI systems has greatly improved the decoding of brain activity. Visual perception, in particular, can now be decoded from functional Magnetic Resonance Imaging (fMRI) with remarkable fidelity. This neuroimaging technique, however, suffers from

…electroencephalography (EEG) and magnetoencephalography (MEG) provide excellent

Repetitive spatiotemporal patterns in resting-state brain activities have been widely observed in various species and regions, such as rat and cat visual cortices. Since they resemble the preceding brain activities during tasks, they are assumed to reflect past experiences embedded in neuronal circuits. Moreover, spatiotemporal patterns involving whole-brain activities may also reflect a process that integrates information distributed over the entire brain, such as motor and visual information. Therefore, revealing such patterns may elucidate how the information is integrated to generate consc

Temporal predictions are fundamental instruments for facilitating sensory selection, allowing humans to exploit regularities in the world. Recent evidence indicates that the motor system instantiates predictive timing mechanisms, helping to synchronize temporal fluctuations of attention with the timing of events in a task-relevant stream, thus facilitating sensory selection. Accordingly, in the auditory domain auditory-motor interactions are observed during perception of speech and music, two temporally structured sensory streams. I will present a behavioral and neurophysiological account for

…QUESTION In the present study, we used magnetoencephalography (MEG) to construct cross-frequency networks, and studied the positive and negative correlations independently and jointly, to evaluate the contri

Many decisions under uncertainty entail dynamic belief updating: multiple pieces of evidence informing about the state of the environment are accumulated across time to infer the environmental state, and choose a corresponding action. Traditionally, this process has been conceptualized as a linear and perfect (i.e., without loss) integration of sensory information along purely feedforward sensory-motor pathways. Yet, natural environments can undergo hidden changes in their state, which requires a non-linear accumulation of decision evidence that strikes a tradeoff between stability and flexibi

…Here we combined Magnetoencephalography (MEG) recordings with advanced decoding strategy to classify finger movements at single trial level. We recorded eight subjects performing a serial reaction time task, where they pressed four