| Whole-brain, time-locked activation with simple tasks revealed using massive averaging and model-free analysis. | |
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MedLine Citation:
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PMID: 22431587 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The brain is the body's largest energy consumer, even in the absence of demanding tasks. Electrophysiologists report on-going neuronal firing during stimulation or task in regions beyond those of primary relationship to the perturbation. Although the biological origin of consciousness remains elusive, it is argued that it emerges from complex, continuous whole-brain neuronal collaboration. Despite converging evidence suggesting the whole brain is continuously working and adapting to anticipate and actuate in response to the environment, over the last 20 y, task-based functional MRI (fMRI) have emphasized a localizationist view of brain function, with fMRI showing only a handful of activated regions in response to task/stimulation. Here, we challenge that view with evidence that under optimal noise conditions, fMRI activations extend well beyond areas of primary relationship to the task; and blood-oxygen level-dependent signal changes correlated with task-timing appear in over 95% of the brain for a simple visual stimulation plus attention control task. Moreover, we show that response shape varies substantially across regions, and that whole-brain parcellations based on those differences produce distributed clusters that are anatomically and functionally meaningful, symmetrical across hemispheres, and reproducible across subjects. These findings highlight the exquisite detail lying in fMRI signals beyond what is normally examined, and emphasize both the pervasiveness of false negatives, and how the sparseness of fMRI maps is not a result of localized brain function, but a consequence of high noise and overly strict predictive response models. |
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Authors:
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Javier Gonzalez-Castillo; Ziad S Saad; Daniel A Handwerker; Souheil J Inati; Noah Brenowitz; Peter A Bandettini |
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Publication Detail:
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Type: Journal Article Date: 2012-03-19 |
Journal Detail:
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Title: Proceedings of the National Academy of Sciences of the United States of America Volume: 109 ISSN: 1091-6490 ISO Abbreviation: Proc. Natl. Acad. Sci. U.S.A. Publication Date: 2012 Apr |
Date Detail:
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Created Date: 2012-04-04 Completed Date: 2012-05-21 Revised Date: 2013-02-08 |
Medline Journal Info:
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Nlm Unique ID: 7505876 Medline TA: Proc Natl Acad Sci U S A Country: United States |
Other Details:
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Languages: eng Pagination: 5487-92 Citation Subset: IM |
Affiliation:
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Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA. javier.gonzalez-castillo@nih.gov |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Brain
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physiology* Humans Magnetic Resonance Imaging Models, Theoretical* Task Performance and Analysis* |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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