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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.

Activity Assay:

Article Title: The Interplay Between Multisensory Processing and Attention in Working Memory: Behavioral and Neural Indices of Audiovisual Object Storage
Article Snippet: .. Again, the data were epoched from −1700 to 5500 ms relative to the onset of the first item and were baseline‐corrected with a prestimulus baseline period of −700 to 0 ms. To identify artefactual independent components (ICs) reflecting eye movements, heart‐ or muscle activity, line noise, channel noise, or other non‐brain activity, we used the EEGLab plugin ICLabel (v1.4; Pion‐Tonachini et al. ). ..

Article Title: The Interplay Between Multisensory Processing and Attention in Working Memory: Behavioral and Neural Indices of Audiovisual Object Storage.
Article Snippet: .. Again, the data were epoched from −1700 to 5500 ms relative to the onset of the first item and were baseline- corrected with a prestimulus baseline period of −700 to 0 ms. To identify artefactual independent components (ICs) reflecting eye movements, heart- or muscle activity, line noise, channel noise, or other non- brain activity, we used the EEGLab plugin ICLabel (v1.4; Pion- Tonachini et al. 2019). ..

Article Title: Tracking neural representations of attended and unattended features in multisensory working memory over time.
Article Snippet: .. Again, the data were segmented into epochs spanning -1500 ms to 5500 ms relative to the onset of the first item and baseline-corrected using a pre-stimulus period from -100 to 0 ms. To identify and remove independent components (ICs) associated with non-brain activity, we applied the ICLabel plugin in EEGLAB (v1.4; Pion-Tonachini et al., 2019). ..



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