Cited by 181Visual perception and processing mechanismsVisual Attention and Saliency DetectionNeural dynamics and brain function

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Top-down attention switches coupling between low-level and high-level areas of human visual cortex

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Al-Aidroos, Naseem, Said, Christopher P., Turk-Browne, Nicholas B.·2012·Proceedings of the National Academy of Sciences

DOI 10.1073/pnas.1202095109PMC PMC3437858

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Abstract

Top-down attention is an essential cognitive ability, allowing our finite brains to process complex natural environments by prioritizing information relevant to our goals. Previous evidence suggests that top-down attention operates by modulating stimulus-evoked neural activity within visual areas specialized for processing goal-relevant information. We show that top-down attention also has a separate influence on the background coupling between visual areas: adopting different attentional goals resulted in specific patterns of noise correlations in the visual system, whereby intrinsic activity in the same set of low-level areas was shared with only those high-level areas relevant to the current goal. These changes occurred independently of evoked activity, persisted without visual stimulation, and predicted behavioral success in deploying attention better than the modulation of evoked activity. This attentional switching of background connectivity suggests that attention may help synchronize different levels of the visual processing hierarchy, forming state-dependent functional pathways in human visual cortex to prioritize goal-relevant information.

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Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
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Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881
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Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803
Cortical Surface-Based Analysis
Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812
Neural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
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Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700
Receptive fields and functional architecture of monkey striate cortex
Hubel, D. H., & Wiesel, T. N. (1968) · The Journal of Physiology · doi:10.1113/jphysiol.1968.sp008455 · Cited by 6,685
A mechanism for cognitive dynamics: neuronal communication through neuronal coherence.
Fries, P. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.08.011 · Cited by 4,284

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Authors: Al-Aidroos, N., Said, C. P., & Turk-Browne, N. B.
Affiliations: Princeton University (US)
New York University (US)
Department of Psychology, Princeton University, Princeton, NJ 08540; and
ORCID: Al-Aidroos, Naseem
Venue: Proceedings of the National Academy of Sciences
Publisher: National Academy of Sciences
Published: 2012-08-20
Volume: 109
Issue: 36
Pages: 14675-14680
ISSN: 0027-8424 (ISSN-L)
1091-6490
DOI: 10.1073/pnas.1202095109
PMC: PMC3437858
OpenAlex: W2041128576
Cited by: 180
References: 39
Citations by year: 2026: 9 · 2025: 7 · 2024: 12 · 2023: 23 · 2022: 14 · 2021: 14 · 2020: 14 · 2019: 13 · 2018: 20 · 2017: 11 · 2016: 16 · 2015: 11 · 2014: 9 · 2013: 7
FWCI: 4.42
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: Proceedings of the National Academy of Sciences (publishedVersion)
Europe PMC (PubMed Central) (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Funders: National Eye Institute (R01EY021755)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords: top-down attention, attentional shift, visual cortex, noise correlation, intrinsic activity, functional connectivity, hierarchical visual processing
MeSH terms: Adult, Attention, Cognition, Fixation, Ocular, Goals, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Photic Stimulation, Visual Cortex, Visual Perception, Retinoscopy

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Top-down attention switches coupling between low-level and high-level areas of human visual cortex

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