18 results for "N1 lateralization" · page 1 of 2 · ranked by relevance
…On day two and three the α-power lateralization index (α-LI…
…Is there an association between N1 lateralization and alpha asymmetry?. Laterality, 1…
This dataset comprises EEG, pupillometry, and behavioral data from 28 healthy adult participants who underwent an auditory fear conditioning paradigm consisting of Pre-Conditioning, Conditioning, and Extinction phases. During the task, participants localized the spatial origin of voices differing in amplitude modulation while some voice stimuli were paired with an aversive white noise unconditioned stimulus. The dataset supports investigation of the neural, autonomic, and behavioral correlates of fear learning and extinction.
[, the learning-oddball sequence for P3b, and the local-global paradigm for assessing local and global auditory novelty effects. The dataset was collected to compare within-individual sensitivity of MMN and P3b responses across these different oddball paradigms. It includes original stimulation triggers, corrected event files, and source stimulation sequence definitions used in the analysis.
…Wake, N1, N2, N3 (combines original S3+S4 per AASM), REM, Unknown…
This dataset comprises EEG and behavioral recordings from a study examining the effects of transcranial direct current stimulation (tDCS) over the dorsolateral prefrontal cortex on emotion processing and regulation in lonely individuals. 120 participants completed two sessions (sham and active stimulation) involving an emotion regulation task with static social and non-social images, rated on arousal and valence. The dataset includes raw EEG, behavioral ratings, and derived ERP data, along with questionnaires assessing side effects and blinding effectiveness.
…The task stimuli used for eliciting N170, MMN, and N400, located in…
A classical motor imagery EEG dataset comprising recordings from 7 healthy subjects performing left hand, right hand, and passive rest tasks. The dataset contains 19-channel EEG data sampled at 200 Hz with visual arrow cues guiding motor imagery tasks. This benchmark dataset is designed for evaluating brain-computer interface algorithms and motor imagery classification methods.