94 results for "pain modulation" · page 8 of 10 · ranked by relevance
[, with concurrent intramuscular EMG ground truth labels (MUniverse benchmark)
PsiConnect is a large-scale multimodal neuroimaging study investigating context-dependent neural and subjective effects of psilocybin in 62 participants. The dataset combines functional, structural, and diffusion-weighted MRI with concurrent EEG acquired before and after psilocybin administration (19 mg), incorporating resting-state and naturalistic conditions (guided meditation, music listening, movie watching). Half the cohort completed an 8-week meditation training program, enabling investigation of interactions between meditation, psilocybin, and brain function. Comprehensive behavioral and self-report measures were collected acutely and longitudinally up to one year post-administration.
…100% or 40% amplitude depth modulations) were manipulated across experimental conditions. Firstly…
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 comprises unprocessed EEG recordings from 31 healthy adult participants (age 18-66, 18 female) listening to 40 music clips of 12 s duration each of varying emotional content. The study investigates neural correlates of music-induced emotion through six runs of EEG recordings, including resting-state baseline and four music listening runs. Data were collected at 1 kHz sampling rate and are accompanied by participants' self-reported emotional responses, providing a resource for studying the relationship between brain activity and affective music perception. The musical stimuli were excerpts from film scores selected from Eerola & Vuoskoski (2010).
This high-density EEG dataset captures brain activity during guided emotional imagery across 15 distinct emotion states. Participants listened to voice-guided scenarios designed to evoke emotions with varying valence (positive and negative) while their neural activity was recorded with eyes closed. The dataset includes preprocessed EEG data with artifact correction and high-pass filtering, providing a resource for investigating neural correlates of emotion imagination and brain state dynamics during emotional experiences.
This dataset comprises concurrent deep-brain electrical stimulation and whole-brain functional MRI data from 26 patients with medically refractory epilepsy. Patients underwent intracranial electrode implantation for clinical purposes, with one or multiple electrode contacts stimulated during fMRI acquisition using block design protocols. The resource includes anatomical imaging (T1, T2), resting-state fMRI, electrical stimulation-fMRI (es-fMRI) scans, field maps, electrode coordinates, and stimulation parameters, along with preprocessed derivatives.
An open-access electroencephalography dataset of motor imagery brain-computer interface performance under six different distraction conditions. Sixteen healthy participants performed left versus right hand motor imagery while experiencing flickering video, number search tasks, news listening, eyes closed state, vibro-tactile stimulation, or no distraction. The dataset comprises 504 trials per subject recorded at 1000 Hz with 63 EEG channels, including one calibration run without feedback and six feedback runs with distinct distraction manipulations.
The Alphawaves dataset comprises resting-state EEG recordings from 19 healthy participants acquired using a 16-channel g.tec g.USBamp system at 512 Hz sampling rate. Participants alternated between eyes-closed and eyes-open conditions in 10-second trials, with event-related synchronization analysis focused on alpha frequency band activity (8-12 Hz). This dataset serves as a benchmark resource for brain-computer interface research and resting-state EEG analysis.