61 results for "lateralization" · page 1 of 7 · 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 contains magnetoencephalography (MEG) recordings from 20 adult participants examining the neural mechanisms underlying perception of regular geometric shapes such as hexagons, triangles, and quadrilaterals. The study investigates how geometric regularity modulates brain activity in ventral visual, intraparietal, and inferior temporal regions, and compares neural responses to predictions from convolutional neural networks and transformer vision models. A companion fMRI dataset examining the same phenomenon is shared separately.
This EEG dataset investigates the neural dynamics of visual object coding across brain hemispheres. Object and word stimuli were rapidly presented (5Hz) in the left visual field, right visual field, or centrally, while participants engaged in an orthogonal red-target detection task. The dataset supports investigation of within- and cross-hemisphere object representation dynamics using frequency-tagging EEG paradigms.
This dataset contains cue-locked EEG recordings and behavioral event annotations from 43 healthy adults performing a random-dot kinematogram (RDK) task designed to dissociate low-level and high-level hierarchical priors during perceptual decision-making. The study examines how such priors bias behavior via signal detection theory and generalized drift-diffusion modeling, and how they modulate occipital oscillatory and aperiodic EEG activity. Participants also completed questionnaires assessing psychosis proneness and psychological flexibility traits.
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.
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.
This dataset contains EEG recordings from a flanker word/pseudoword lexical decision task collected at the NeuroCognition Laboratory in San Diego. Participants viewed four-letter real words and pseudowords flanked by identical, different, or no flanking words, while EEG was recorded to examine neural responses associated with lexical processing under flanker conditions. The dataset was collected under San Diego State University's IRB oversight.
This dataset comprises EEG recordings from a visual working memory task presented in virtual reality, where participants remembered object details cued by either a social (avatar) or non-social (stick) agent. The study investigates how social versus non-social cues modulate neural signatures of working memory, with cue validity (congruent vs. incongruent) manipulated across trials. Raw and preprocessed EEG data are provided alongside behavioral performance metrics and detailed event codes for memory encoding, maintenance, and retrieval phases.
This dataset comprises multi-subject, multi-modal neuroimaging recordings (structural MRI, MEG, and EEG) collected during a median nerve stimulation paradigm. Participants received electrical stimuli to the right wrist median nerve and responded by lifting their left index finger as quickly as possible. The dataset supports investigation of somatosensory and motor cortical responses using combined MEG/EEG/MRI methodology.