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The flexible and efficient adaptation to dynamic, rapid changes in the auditory environment likely involves generating and updating of internal models. Such models arguably exploit connections between the neocortex and the cerebellum, supporting proactive adaptation. Here, we tested whether temporo-cerebellar disconnection is associated with the processing of sound at short timescales. First, we identify lesion-specific deficits for the encoding of short timescale spectro-temporal non-speech and speech properties in patients with left posterior temporal cortex stroke. Second, using lesion-guided probabilistic tractography in healthy participants, we revealed bidirectional temporo-cerebellar connectivity with cerebellar dentate nuclei and crura I/II. These findings support the view that the encoding and modeling of rapidly modulated auditory spectro-temporal properties can rely on a temporo-cerebellar interface. We discuss these findings in view of the conjecture that proactive adaptation to a dynamic environment via internal models is a generalizable principle.
Pubmed ID: 34542407
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Biomedical technology resource center specializing in novel approaches and tools for neuroimaging. It develops novel strategies to investigate brain structure and function in their full multidimensional complexity. There is a rapidly growing need for brain models comprehensive enough to represent brain structure and function as they change across time in large populations, in different disease states, across imaging modalities, across age and sex, and even across species. International networks of collaborators are provided with a diverse array of tools to create, analyze, visualize, and interact with models of the brain. A major focus of these collaborations is to develop four-dimensional brain models that track and analyze complex patterns of dynamically changing brain structure in development and disease, expanding investigations of brain structure-function relations to four dimensions.
View all literature mentionsSoftware tool as a cross-platform NIfTI format image viewer. Used for viewing and exporting of brain images. MRIcroGL is a variant of MRIcron.
View all literature mentionsSoftware package for analysis of brain imaging data sequences. Sequences can be a series of images from different cohorts, or time-series from same subject. Current release is designed for analysis of fMRI, PET, SPECT, EEG and MEG.
View all literature mentionsAudacity is free, open source software for recording and editing sounds. It is available for Mac OS X, Microsoft Windows, GNU/Linux, and other operating systems. The latest release of Audacity is 1.3.12 (Beta). This is their active work in progress version with their latest features. Documentation and translations into different languages are not quite complete. They recommend this version for more advanced users, and for everyone on Windows 7, Windows Vista and Mac OS X 10.6. See New Features in 1.3 for more information about the 1.3 Beta series. You can use Audacity to: Convert tapes and records into digital recordings or CDs. Edit Ogg Vorbis, MP3, WAV or AIFF sound files. Cut, copy, splice or mix sounds together. Change the speed or pitch of a recording. And more See the complete list of features. Sponsors: This resource is supported by UmixIt Technologies, LLC. Keywords: Software, Recording, Audio, Sound, Editor, Recorder,
View all literature mentionsSoftware tool for processing functional magnetic resonance imaging (fMRI) data.Software system for evaluation of functional magnetic resonance images of human brain.
View all literature mentionsThe National Institutes of Health Stroke Scale (NIHSS) is a systematic assessment tool that provides a quantitative measure of stroke-related neurological deficit. The NIHSS was originally designed as a research tool to measure baseline data on patients in acute stroke clinical trials. Now, the scale is also widely used as a clinical assessment tool to evaluate acuity of stroke patients, determine appropriate treatment, and predict patient outcome. The NIHSS can be used as a clinical stroke assessment tool to evaluate and document neurological status in acute stroke patients. The stroke scale is valid for predicting lesion size and can serve as a measure of stroke severity. The NIHSS has been shown to be a predictor of both short and long term outcome of stroke patients. Additionally, the stroke scale serves as a data collection tool for planning patient care and provides a common language for information exchanges among healthcare providers. Performing the scale takes between 5-8 minutes. Emergency physicians and nurses, neurologists, neuroscience nurses and other stroke team members are typical examples of who should be certified to perform the NIHSS. The NINDS/NIH training and testing DVD can be obtained from the National Institute of Neurological Disorders and Stroke. Sponsors: NIHSS is supported by the National Institute of Neurological Disorders and Stroke (NINDS).
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