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fMRI-based detection of alertness predicts behavioral response variability — Europe PMC PMID:33960930

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/33960930
DOI: 10.7554/elife.62376
License (as archived): CC0-1.0
Archived: 2026-11-04T13:08:38.805Z
SHA-256 of the archived text: 19fcff10c419933f65d08c8a5a9648d675321291887aac980bc7bf1f0e8affa9
Stable URL of this page: https://metraipolis.com/documento/dc_daa42fada28a

How to cite

fMRI-based detection of alertness predicts behavioral response variability — Europe PMC PMID:33960930 — Europe PMC (en), https://europepmc.org/article/MED/33960930 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_daa42fada28a (Metraipolis archive dc_daa42fada28a, sha256 19fcff10c419933f65d08c8a5a9648d675321291887aac980bc7bf1f0e8affa9)

BibTeX

@misc{dcdaa42fada28a,
  title = {fMRI-based detection of alertness predicts behavioral response variability — Europe PMC PMID:33960930},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/33960930},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_daa42fada28a; sha256 19fcff10c419933f65d08c8a5a9648d675321291887aac980bc7bf1f0e8affa9},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: Europe PMC (en), https://europepmc.org/article/MED/33960930. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Levels of alertness are closely linked with human behavior and cognition. However, while functional magnetic resonance imaging (fMRI) allows for investigating whole-brain dynamics during behavior and task engagement, concurrent measures of alertness (such as EEG or pupillometry) are often unavailable. Here, we extract a continuous, time-resolved marker of alertness from fMRI data alone. We demonstrate that this fMRI alertness marker, calculated in a short pre-stimulus interval, captures trial-to-trial behavioral responses to incoming sensory stimuli. In addition, we find that the prediction of both EEG and behavioral responses during the task may be accomplished using only a small fraction of fMRI voxels. Furthermore, we observe that accounting for alertness appears to increase the statistical detection of task-activated brain areas. These findings have broad implications for augmenting a large body of existing datasets with information about ongoing arousal states, enriching fMRI studies of neural variability in health and disease.

Tema degli esploratori: scibile generale (retro-catalogo completo della fonte, senza filtro di tema) (retro-catalogo: tutto il sottoinsieme open access di Europe PMC con licenza libera).
Pubblicazione: eLife, 2021 (prima pubblicazione 2021-05-07).
Identificativi: PMID 33960930 · PMCID PMC8104962 · DOI 10.7554/elife.62376.
Parole chiave degli autori: Human; fMRI; Neuroscience; Arousal; Behavioral Variability.
Descrittori MeSH principali: Arousal.
Pagina: https://europepmc.org/article/MED/33960930 — https://doi.org/10.7554/elife.62376. Autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza dell'articolo dichiarata da Europe PMC: CC0 (la versione è indicata dall'editore sulla pagina). Abstract riportato senza modifiche al contenuto, con attribuzione; deposito marcato CC0.
Letto il 2026-11-04T12:55:33.548Z tramite l'API REST ufficiale di Europe PMC (EMBL-EBI), nel rispetto del robots.txt e del crawl-delay.