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Filtering by: Creator Brang, David Remove constraint Creator: Brang, David Depositor ssim djbrang@umich.edu Remove constraint Depositor ssim: djbrang@umich.edu

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  • Dataset for "Auditory cortex encodes lipreading information through spatially distributed activity"

    work
    Creator:
    Brang, David
    Description:
    Key Points: - We provide a dataset obtained from iEEG and fMRI who completed an auditory-visual speech perception task. The data is fully preprocessed and ready for analysis. Research Overview: Here, we investigated the hypothesis that the auditory system encodes visual speech information through spatially distributed representations using fMRI data from healthy adults and intracranial recordings from electrodes implanted in patients with epilepsy. Across both datasets, linear classifiers successfully decoded the identity of silently lipread words using the spatial pattern of auditory cortex responses. Examining the time-course of classification using intracranial recordings, lipread words were classified at earlier time-points relative to heard words, suggesting a predictive mechanism for facilitating speech. These results support a model in which the auditory system combines the joint neural distributions evoked by heard and lipread words to generate a more precise estimate of what was said.
    Citation to related publication:
    Article in review
    Discipline:
    Science

  • Dataset for "Electrophysiological markers of memory consolidation in the human brain when memories are reactivated during sleep"

    work
    Creator:
    Creery, Jessica D. , Brang, David, Arndt, Jason D. , Bassard, Adrianna , Towle, Vernon L. , Tao, James X, Wu, Shasha, Rose, Sandra, Warnke, Peter C. , Issa, Naoum, and Paller, Ken A.
    Description:
    Key Points: - We provide a dataset obtained from iEEG - A total of 5 participants completed the tasks that involved an audio-visual spatial memory task with memory associated sounds played during sleep. - The data is fully preprocessed and ready for analysis in three unique frequency bands; Theta (4-8Hz), sigma (12-16Hz), and gamma (20-100Hz). We followed up by testing low gamma (20-50 Hz), mid-gamma (50-80 Hz), and high gamma (80-100 Hz) as well as a separate ripple analysis. and Research Overview: Here, we investigated overnight memory change by measuring electrical activity in and near the hippocampus. Electroencephalographic (EEG) recordings were made in five patients from electrodes implanted to determine whether a surgical treatment could relieve their seizure disorders. One night, while each patient slept in a hospital monitoring room, we recorded electrophysiological responses to 10-20 specific sounds that were presented very quietly, to avoid arousal. Half of the sounds had been associated with objects and their precise spatial locations that patients learned before sleep. After sleep, we found systematic improvements in spatial recall, replicating prior results. We assume that when the sounds were presented during sleep, they reactivated and strengthened corresponding spatial memories. Notably, the sounds also elicited oscillatory intracranial EEG activity, including increases in theta, sigma, and gamma EEG bands. Gamma responses, in particular, were consistently associated with the degree of improvement in spatial memory exhibited after sleep. We thus conclude that this electrophysiological activity in the hippocampus and adjacent medial temporal cortex reflects sleep-based enhancement of memory storage.
    Citation to related publication:
    Creery JD, Brang D, Arndt JD, Bassard A, Towle VL, Tao JX, Wu S, Rose S, Warnke P, Issa NP, Paller KA (in press). Electrical Markers of Memory Consolidation in the Human Brain when Memories are Reactivated during Sleep. Proceedings of the National Academy of Sciences.
    Discipline:
    Social Sciences