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View article: Beyond beta rhythms: subthalamic aperiodic broadband power scales with Parkinson's disease severity–a cross-sectional multicentre study
Beyond beta rhythms: subthalamic aperiodic broadband power scales with Parkinson's disease severity–a cross-sectional multicentre study Open
This work was supported by Deutsche Forschungsgemeinschaft (German Research Foundation) Project ID 424778381 TRR 295 "ReTune". H.A. is supported by NIHR UCLH BRC. This work was supported by an MRC Clinician Scientist Fellowship (MR/W024810…
View article: Reduction of Electromagnetic Interference in ultra-low noise Bimodal MEG & EEG
Reduction of Electromagnetic Interference in ultra-low noise Bimodal MEG & EEG Open
Single-channel SQUID system technology, operating at a noise level of 100’s of aT/ √ Hz, enables the non-invasive detection of synchronized spiking activity at the single-trial level via magnetoencephalography (MEG). However, when combined…
View article: Reduction of Electromagnetic Interference in ultra-low noise Bimodal MEG & EEG
Reduction of Electromagnetic Interference in ultra-low noise Bimodal MEG & EEG Open
Single-channel SQUID system technology, operating at a noise level of 100s of aT/$\sqrt{\textrm{Hz}}$, enables the non-invasive detection of synchronized spiking activity at the single-trial level via magnetoencephalography (MEG). However,…
View article: Beyond beta rhythms: Aperiodic broadband power reflects Parkinson’s disease severity–a multicenter study
Beyond beta rhythms: Aperiodic broadband power reflects Parkinson’s disease severity–a multicenter study Open
Parkinson’s disease is linked to increased beta oscillations in the subthalamic nucleus, which correlate with motor symptoms. However, findings across studies have varied. Our standardized analysis of multicenter datasets shows that small …
View article: Somatosensory high frequency oscillations across the human central nervous system
Somatosensory high frequency oscillations across the human central nervous system Open
Information transmission in the central nervous system (CNS) relies on the propagation of action potentials (neuronal spikes), traditionally thought to be inaccessible with electroencephalography (EEG). Converging evidence from human and a…
View article: A multichannel electrophysiological approach to noninvasively and precisely record human spinal cord activity
A multichannel electrophysiological approach to noninvasively and precisely record human spinal cord activity Open
The spinal cord is of fundamental importance for integrative processing in brain–body communication, yet routine noninvasive recordings in humans are hindered by vast methodological challenges. Here, we overcome these challenges by develop…
View article: Evoked response signatures explain deep brain stimulation outcomes
Evoked response signatures explain deep brain stimulation outcomes Open
Deep brain stimulation (DBS) is an established treatment for Parkinson’s disease. Still, DBS parameter programming currently follows a tedious trial-and-error process. DBS-evoked cortical potentials (EP) might guide parameter selection but…
View article: Intensity-dependence of auditory-evoked potentials might present an early surrogate marker for post-stroke depression
Intensity-dependence of auditory-evoked potentials might present an early surrogate marker for post-stroke depression Open
This is the first longitudinal study to assess the relationship between IDAP and PSD.
View article: Optimization of data pre-processing methods for time-series classification of electroencephalography data
Optimization of data pre-processing methods for time-series classification of electroencephalography data Open
The performance of time-series classification of electroencephalographic data varies strongly across experimental paradigms and study participants. Reasons are task-dependent differences in neuronal processing and seemingly random variatio…
View article: Optimization of data pre-processing methods for time-series classification of electroencephalography data
Optimization of data pre-processing methods for time-series classification of electroencephalography data Open
The performance of time-series classification of electroencephalographic data varies strongly across experimental paradigms and study participants. Reasons are task-dependent differences in neuronal processing and seemingly random variatio…
View article: A multi-channel electrophysiology approach to non-invasively and precisely record human spinal cord activity
A multi-channel electrophysiology approach to non-invasively and precisely record human spinal cord activity Open
The spinal cord is of fundamental importance for integrative processing in brain-body communication, yet routine non-invasive recordings in humans are hindered by vast methodological challenges. Here we overcome these challenges by develop…
View article: Separating Neural Oscillations from Aperiodic 1/f Activity: Challenges and Recommendations
Separating Neural Oscillations from Aperiodic 1/f Activity: Challenges and Recommendations Open
Electrophysiological power spectra typically consist of two components: An aperiodic part usually following an 1/f power law $$P\propto 1/{f}^{\beta }$$ and periodic components appearing as spectral peaks. While the investigation…
View article: Electrophysiological characterization of the hyperdirect pathway and its functional relevance for subthalamic deep brain stimulation
Electrophysiological characterization of the hyperdirect pathway and its functional relevance for subthalamic deep brain stimulation Open
The subthalamic nucleus (STN) receives input from various cortical areas via hyperdirect pathway (HDP) which bypasses the basal-ganglia loop. Recently, the HDP has gained increasing interest, because of its relevance for STN deep brain sti…
View article: Separating neural oscillations from aperiodic 1/f activity: challenges and recommendations
Separating neural oscillations from aperiodic 1/f activity: challenges and recommendations Open
Electrophysiological power spectra typically consist of two components: An aperiodic part usually following an 1/f power law P ∝1/ f β and periodic components appearing as spectral peaks. While the investigation of the periodic parts, comm…
View article: Noninvasive neuromagnetic single-trial analysis of human neocortical population spikes
Noninvasive neuromagnetic single-trial analysis of human neocortical population spikes Open
Significance Evolution has shaped the human brain as a “single-trial” processor reacting fast and reliably to environmental threats. The noninvasive analysis of its electrical activity commonly draws on electroencephalography/magnetoenceph…
View article: Temporal Signatures of Criticality in Human Cortical Excitability as Probed by Early Somatosensory Responses
Temporal Signatures of Criticality in Human Cortical Excitability as Probed by Early Somatosensory Responses Open
Brain responses vary considerably from moment to moment, even to identical sensory stimuli. This has been attributed to changes in instantaneous neuronal states determining the system's excitability. Yet the spatiotemporal organization of …
View article: Peripheral input and phantom limb pain: A somatosensory event‐related potential study
Peripheral input and phantom limb pain: A somatosensory event‐related potential study Open
Background Following amputation, nearly all amputees report nonpainful phantom phenomena and many of them suffer from chronic phantom limb pain (PLP) and residual limb pain (RLP). The aetiology of PLP remains elusive and there is an ongoin…
View article: Power-law dynamics in cortical excitability as probed by early somatosensory evoked responses
Power-law dynamics in cortical excitability as probed by early somatosensory evoked responses Open
While it is well-established that instantaneous changes in neuronal networks’ states lead to variability in brain responses and behavior, the mechanisms causing this variability are poorly understood. Insights into the organization of unde…
View article: Disruption of Boundary Encoding During Sensorimotor Sequence Learning: An MEG Study
Disruption of Boundary Encoding During Sensorimotor Sequence Learning: An MEG Study Open
Music performance relies on the ability to learn and execute actions and their associated sounds. The process of learning these auditory-motor contingencies depends on the proper encoding of the serial order of the actions and sounds. Amon…
View article: Cingulate and cerebellar beta oscillations are engaged in the acquisition of auditory‐motor sequences
Cingulate and cerebellar beta oscillations are engaged in the acquisition of auditory‐motor sequences Open
Singing, music performance, and speech rely on the retrieval of complex sounds, which are generated by the corresponding actions and are organized into sequences. It is crucial in these forms of behavior that the serial organization (i.e.,…
View article: Refractoriness Accounts for Variable Spike Burst Responses in Somatosensory Cortex
Refractoriness Accounts for Variable Spike Burst Responses in Somatosensory Cortex Open
Neurons in the primary somatosensory cortex (S1) respond to peripheral stimulation with synchronized bursts of spikes, which lock to the macroscopic 600-Hz EEG waves. The mechanism of burst generation and synchronization in S1 is not yet u…
View article: Refractoriness accounts for variable spike burst responses in somatosensory cortex
Refractoriness accounts for variable spike burst responses in somatosensory cortex Open
Neurons in the primary somatosensory cortex (S1) respond to peripheral stimulation with synchronised bursts of spikes, which lock to the macroscopic 600 Hz EEG waves. The mechanism of burst generation and synchronisation in S1 is not yet u…
View article: The Berlin Brain-Computer Interface: Progress Beyond Communication and Control
The Berlin Brain-Computer Interface: Progress Beyond Communication and Control Open
The combined effect of fundamental results about neurocognitive processes and advancements in decoding mental states from ongoing brain signals has brought forth a whole range of potential neurotechnological applications. In this article, …
View article: Unsupervised classification of operator workload from brain signals
Unsupervised classification of operator workload from brain signals Open
Our analyses ensured that the signal sources used for classification were of cortical origin and not contaminated with artifacts. Our findings show that workload states can be successfully differentiated from brain signals, even when less …