The role of conscious attention in auditory statistical learning: evidence from patients with impaired consciousness DOI Creative Commons
Lucas Benjamin, Di Zang, Ana Fló

et al.

iScience, Journal Year: 2024, Volume and Issue: 28(1), P. 111591 - 111591

Published: Dec. 13, 2024

The need for attention to enable statistical learning is debated. Testing individuals with impaired consciousness offers valuable insight, but very few studies have been conducted due the difficulties inherent in such studies. Here, we examined ability of patients varying levels disorders (DOC) extract regularities from an artificial language composed randomly concatenated pseudowords by measuring frequency tagging EEG. objectives were firstly, assess automaticity segmentation process and correlations between level covert capacities; secondly, identify potential new diagnostic indicators. We observed that abilities preserved some minimally conscious patients, suggesting auditory inherently automatic low-level process. Due significant inter-individual variability, word might not be robust enough clinical use. In contrast, temporal accuracy syllable responses correlates strongly coma severity.

Language: Английский

Assessing the impact of artifact correction and artifact rejection on the performance of SVM-based decoding of EEG signals DOI Creative Commons
Guanghui Zhang, Steven J. Luck

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 25, 2025

Numerous studies have demonstrated that eyeblinks and other large artifacts can decrease the signal-to-noise ratio of EEG data, resulting in decreased statistical power for conventional univariate analyses. However, it is not clear whether eliminating these during preprocessing enhances performance multivariate pattern analysis (MVPA; decoding ), especially given artifact rejection reduces number trials available training decoder. This study aimed to evaluate impact artifact-minimization approaches on support vector machines. Independent component (ICA) was used correct ocular artifacts, discard with voltage deflections from sources (e.g., muscle artifacts). We assessed relatively simple binary classification tasks using data seven commonly-used event-related potential paradigms (N170, mismatch negativity, N2pc, P3b, N400, lateralized readiness potential, error-related negativity), as well more challenging multi-way tasks, including stimulus location orientation. The results indicated combination correction did improve vast majority cases. may still be essential minimize artifact-related confounds might artificially inflate accuracy. Researchers who are paradigms, populations, recording setups similar those examined here benefit our recommendations optimize avoid incorrect conclusions.

Language: Английский

Citations

0
Artifact filtering application to increase online parity in a communication BCI: progress toward use in daily-life DOI Creative Commons
Tab Memmott, Daniel Klee, Niklas Smedemark-Margulies

et al.

Frontiers in Human Neuroscience, Journal Year: 2025, Volume and Issue: 19

Published: March 4, 2025

A significant challenge in developing reliable Brain-Computer Interfaces (BCIs) is the presence of artifacts acquired brain signals. These may lead to erroneous interpretations, poor fitting models, and subsequent reduced online performance. Furthermore, BCIs a home or hospital setting are more susceptible environmental noise. Artifact handling procedures aim reduce signal interference by filtering, reconstructing, and/or eliminating unwanted contaminants. While straightforward conceptually largely undisputed as essential, suitable artifact application BCI systems remains unsettled performance some cases. potential confound that unexplored majority studies using these lack parity with usage (e.g., parity). This manuscript compares classification between frequently used offline digital whole dataset, an filtering approach where segmented data epochs would be during closed-loop control filtered instead. In sample healthy adults ( n = 30) enrolled pilot study integrate new communication interfaces, there were benefits model when parity. simulations indicated similar across conditions this study, appears no drawback greater

Language: Английский

Citations

0
Optimizing the stimulus used to elicit the Acoustic Change Complex: evaluation of the pre-transition stimulus duration and stimulus complexity in normal hearing adults DOI Creative Commons

Laura I A Schellekens,

Marloes L. Adank,

Sarah Meehan

et al.

Hearing Research, Journal Year: 2025, Volume and Issue: unknown, P. 109251 - 109251

Published: March 1, 2025

Language: Английский

Citations

0
Cortical activations induced by electrical versus vibrotactile finger stimulation using EEG DOI Creative Commons

Anaëlle Alouit,

Martine Gavaret, Céline Ramdani

et al.

NeuroImage, Journal Year: 2025, Volume and Issue: unknown, P. 121249 - 121249

Published: May 1, 2025

Somatosensory evoked potentials (SEPs) recorded with electroencephalography offer insights into cortical responses to tactile stimulation, typically elicited through temporally precise electrical stimulation. Although vibrotactile stimulation is more ecologically valid but less common, studies directly comparing EEG both and finger are limited. This study examines compares (a) responses, (b) connectivity patterns, (c) somatotopic accuracy of these types on the fingers. In two experiments, SEPs were from healthy participants' right-hand using either (experiment 1, n=22) or 2, Vibrotactile stimuli delivered at 10, 50, 250 Hz, targeting different ranges mechanoreceptors activations. Electrical reliability was assessed across days, showing consistent SEP amplitudes latencies. Both generated three early components (P1, N1, P2), all increasingly delayed compared exhibited stronger localized in N1) left hemisphere, while showed broader P2. provided a clearer organization postcentral gyrus than These findings suggest distinct processing for versus methods not interchangeable somatosensory studies: temporal shift reflects selective activation Pacinian corpuscles, whereas yields generalized processing. may engage serial pathway starting primary cortex, could involve parallel secondary cortices.

Language: Английский

Citations

0
Blind source separation of event-related potentials using a recurrent neural network DOI
Jamie A. O’Reilly,

Hassapong Sunthornwiriya-Amon,

Naradith Aparprasith

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: April 28, 2024

Abstract Event-related potentials (ERPs) are a superposition of electric potential differences generated by neurophysiological activity associated with psychophysical events. Spatiotemporal dissociation these signal sources can supplement conventional ERP analysis and improve source localization. However, results from established separation methods applied to ERPs be challenging interpret. Hence, we have developed recurrent neural network (RNN) method for blind separation. The RNN transforms input step pulse signals representing events into corresponding difference waveforms. Source waveforms obtained penultimate layer units scalp maps feed-forward output weights that project onto EEG electrode amplitudes. An interpretable, sparse representation is achieved incorporating L1 regularization the during training. This was four (MMN, N170, N400, P3) open-access CORE database, independent component (ICA) same data comparison. decomposed eleven spatially temporally separate were less noisy, tended more ERP-specific, similar each other than ICA-derived sources. also had ambiguity between waveform amplitude, polarity, equivalent current dipole orientation ICA In conclusion, proposed effectively grand-average waves holds promise further development as computational model event-related signals.

Language: Английский

Citations

0
Dysfunctional Alpha Modulation as a Mechanism of Working Memory Impairment in Serious Mental Illness DOI Creative Commons
Molly Erickson, Megan A. Boudewyn, Kurt Winsler

et al.

Biological Psychiatry Cognitive Neuroscience and Neuroimaging, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 1, 2024

Language: Английский

Citations

0
The dynamic influence of language‐switching contexts on domain‐general cognitive control: An EEG study DOI
Dongxue Liu,

Yujie Meng,

Linyan Liu

et al.

Psychophysiology, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 30, 2024

Abstract In everyday conversation, bilingual individuals switch between their languages not only in reaction to monolinguals with different language profiles but also voluntarily and naturally. However, whether how various switching contexts dynamically modulate domain‐general cognitive control is still unclear. Using a cross‐task paradigm which flanker task was interleaved language‐switching trial‐by‐trial, the present study examined performance of unbalanced Chinese‐English bilinguals on forced, voluntary, natural contexts. The cross‐domain interaction P3 component revealed an atypical effect forced only, amplitude incongruent trials smaller than both voluntary Furthermore, robust brain–brain brain‐behavior relationships emerged context only. Altogether, our findings support dynamic adaptation highlight importance types

Language: Английский

Citations

0
The role of conscious attention in auditory statistical learning: evidence from patients with impaired consciousness DOI Creative Commons
Lucas Benjamin, Di Zang, Ana Fló

et al.

iScience, Journal Year: 2024, Volume and Issue: 28(1), P. 111591 - 111591

Published: Dec. 13, 2024

The need for attention to enable statistical learning is debated. Testing individuals with impaired consciousness offers valuable insight, but very few studies have been conducted due the difficulties inherent in such studies. Here, we examined ability of patients varying levels disorders (DOC) extract regularities from an artificial language composed randomly concatenated pseudowords by measuring frequency tagging EEG. objectives were firstly, assess automaticity segmentation process and correlations between level covert capacities; secondly, identify potential new diagnostic indicators. We observed that abilities preserved some minimally conscious patients, suggesting auditory inherently automatic low-level process. Due significant inter-individual variability, word might not be robust enough clinical use. In contrast, temporal accuracy syllable responses correlates strongly coma severity.

Language: Английский

Citations

0