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Pion Inc iclabel eeglab plugin
Iclabel Eeglab Plugin, supplied by Pion Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/eeglab+plugin/iclabel+eeglab+plugin/pm40538129-135-33-36
Average 90 stars, based on 1 article reviews
iclabel eeglab plugin - by Bioz Stars, 2026-11
90/100 stars

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Article Title: Lasting and extensive consequences of left mesial temporal lobe seizures on electrical cortical activity.
Article Snippet: Background and objectives: Focal epilepsies disrupt long-range networks with seizure recurrence driving both regional and global alterations in connectivity networks.. While prior studies have focused on the interictal consequences, limited data exist on the direct aftermath of focal seizures.. We hypothesize that mesial temporal lobe seizures lead to enduring cortical disorganization.

Article Title: Auditory N1 Suppression and Omission N1 Do Not Share a Common Underlying Mechanism.
Article Snippet: Ocular artifact ICs, specifically blink- related artifacts and eye movements (pre- saccadic spike potentials and horizontal and vertical movements of the corneo- retinal dipoles; Plöchl et al. 2012) were pre- classified using the ICLabel EEGLAB plugin (Pion- Tonachini et al. 2019) and selected manually.

Article Title: Semantic Context Effects in Picture and Sound Naming: Evidence from Event-related Potentials and Pupillometric Data.
Article Snippet: ■ When a picture is repeatedly named in the context of semantically related pictures (homogeneous context), responses are slower than when the picture is repeatedly named in the context of unrelated pictures (heterogeneous context).. This semantic interference effect in blocked-cyclic naming plays an important role in devising theories of word production.. Wöhner, Mädebach, and Jescheniak [Wöhner, S., Mädebach, A., & Jescheniak, J. D. Naming pictures and sounds: Stimulus type affects semantic context effects.

Article Title: Analyzing the effects of high autistic traits on neural markers of learning and memory: An EEG approach analysis.
Article Snippet: Objective: A body of electroencephalographic (EEG) research demonstrates that executive functioning (EF) differences exist in autistic people.. Here, we aimed to investigate how and to what extent these EF differences appear in people with high autistic traits in contrast to a low autistic traits comparison.. Methods: The present study used a series of EEG markers (frontal theta power, frontal beta power, the reward positivity ERP component, and the P300 ERP component) to examine potential differences in EF over the course of gambling and oddball tasks.

Article Title: Auditory N1 Suppression and Omission N1 Do Not Share a Common Underlying Mechanism
Article Snippet: Ocular artifact ICs, specifically blink‐related artifacts and eye movements (pre‐saccadic spike potentials and horizontal and vertical movements of the corneo‐retinal dipoles; Plöchl et al. ) were pre‐classified using the ICLabel EEGLAB plugin (Pion‐Tonachini et al. ) and selected manually.

Article Title: EEG Signatures and Effects of Mindfulness Approaches in Adolescents With Nonsuicidal Self-Injury.
Article Snippet: Nonsuicidal selfinjury (NSSI) is a recurring behavior most prevalent among adolescents in which one intentionally harms one's tissues and organs without the intent of death, which has a complex pathophysiology and lacks established interventions.. As NSSI has been linked to deficits in cognitive control, mindfulness training that enhances this process may be beneficial.. In this study, using electroencephalography (EEG), we examined the neural mechanisms underpinning NSSI and the impact of mindfulness interventions by analyzing brain activity before, during, and after a 10min brief breathfocused meditation session in adolescents with NSSI.

Article Title: Resting-state EEG microstate analysis of internet gaming disorder and alcohol use disorder.
Article Snippet: Then, independent component analysis (Lee et al. 1999) was performed to separate the 60 components of the EEG signals and remove components with a probability of artefacts exceeding the threshold (0.5 for muscle artefacts and 0.9 for other artefacts) using the ICLabel EEGLAB plugin (Pion-Tonachini et al. 2019).

Process/Product Development:

Article Title: Neural entrainment to pitch changes of auditory targets in noise.
Article Snippet: .. Up to 16 components were excluded based on visual inspection and classification using the EEGLAB IClabel extension (Pion-Tonachini et al., 2019). ..



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