Data from: Locus coeruleus neuromelanin predicts ease of attaining and maintaining neural states of arousal
Data files
Mar 11, 2024 version files 43.25 GB
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MRIdata.zip
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pupillometry.zip
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README.md
Abstract
The locus coeruleus (LC), a small subcortical structure in the brainstem, is the brain’s principal source of norepinephrine. It plays a primary role in regulating stress, the sleep-wake cycle, and attention, and its degradation is associated with aging and neurodegenerative diseases associated with cognitive deficits (e.g., Parkinson’s, Alzheimer’s). Yet precisely how norepinephrine drives brain networks to support healthy cognitive function remains poorly understood – partly because LC’s small size makes it difficult to study noninvasively in humans. Here, we characterized LC’s influence on brain dynamics using a hidden Markov model fitted to functional neuroimaging data from healthy young adults across four attention-related brain networks and LC. We modulated LC activity using a behavioral paradigm and also measured individual differences in LC neuromelanin. The model revealed five hidden states, including a stable ‘arousal’ state that occurred when subjects actively engaged with the task. LC neuromelanin correlated with this state’s stability across experimental manipulations and with subjects’ propensity to enter into and remain in this state. These results provide new insight into LC’s role in driving spatiotemporal neural patterns associated with attention and arousal and demonstrate that neuromelanin variation can explain individual differences in these patterns even in healthy young adults.
README: Data from: Locus coeruleus neuromelanin predicts ease of attaining and maintaining neural states of arousal
https://doi.org/10.7280/D1HQ3B
Data used in this manuscript.
Description of the data and file structure
Neuroimaging contains structural and functional data. Anatomical and functional scans, defaced/anonymized. The neuroimaging data are formatted in BIDS standard and may be opened by any standard neuroimaging software.
The eyetracking/pupillometry data contain raw pupillometry data for RS0 and all functional runs in .mat format for major and minor pupil axes for both eyes. Each .mat file contains a single structure 'S' which contains data for all subjects combined, for all runs of the neuroimaging data collection within the first resting state scan of the squeeze and control conditions respectively. Fields in this dataset include data (the raw pupil data across the whole run) and various processed data (blinks, artifact timestamps, and so on). Each column in S is labeled meaningfully.
Methods
The data were collected using a Siemens 3T MRI scanner at the UC Riverside Center for Advanced Neuroimaging, and a VPIXX Eyetracker (MR-compatible). Detailed methods for data acquisition parameters can be found in the linked publication.