Dynamical Network States as Predisposition of Perception

Peatfield, Nicholas; Choi, Dawoon; Weisz, Nathan

doi:10.1007/978-3-319-32265-0_2

Cited by 3 publications

(2 citation statements)

References 30 publications

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“…Graph theoretical measures of network connectivity have provided important insights into properties of structural and functional brain networks, such as small-worldness and the existence of hubs (32, 41). Here we used the graph theoretical measures of efficiency and clustering coefficient to inform us about the connectivity states of FFA prior to face and house perception.…”

Section: Discussionmentioning

confidence: 99%

Efficient prestimulus network integration of FFA biases face perception during binocular rivalry

Rassi

Wutz

et al. 2021

Preprint

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Ongoing fluctuations in neural excitability and connectivity influence whether or not a stimulus is seen. Do they also influence which stimulus is seen? We recorded magnetoencepahlography data while participants viewed face or house stimuli, either one at a time or under bi-stable conditions induced through binocular rivalry. Multivariate pattern analysis revealed common neural substrates for rivalrous vs. non-rivalrous stimuli with an additional delay of ~36ms for the bi-stable stimulus and post-stimulus signals were source-localized to the fusiform face area (FFA). Prior to stimulus onset followed by a face- vs. house-report, FFA showed stronger connectivity to primary visual cortex and to the rest of the cortex in the alpha frequency range (8-13 Hz) but there were no differences in local oscillatory alpha power. The pre-stimulus connectivity metrics predicted the accuracy of post-stimulus decoding and the delay associated with rivalry disambiguation suggesting that perceptual content is shaped by ongoing neural network states.

show abstract

Section: Discussionmentioning

confidence: 99%

Efficient prestimulus network integration of FFA biases face perception during binocular rivalry

Rassi

Wutz

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Graph theoretical measures of network connectivity have provided important insights into properties of structural and functional brain networks, such as small-worldness and the existence of hubs (27,31). Here we used the graph theoretical measures of efficiency and clustering coefficient to inform us about the connectivity states of FFA prior to face and house perception.…”

Section: Discussionmentioning

confidence: 99%

Efficient prestimulus connectivity biases visual content

Rassi¹

2019

Preprint

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Ongoing fluctuations in prestimulus neural excitability and connectivity patterns influence near-threshold detection, or whether or not a stimulus is perceived. Do they also influence whether one or another stimulus is perceived? In this Magnetoencepahlography study, we showed participants brief presentations of a bi-stable image consisting of a face superimposed with a house, and asked them to report which of the two contents of the image they perceived on each trial. Multivariate pattern analysis revealed that perceiving bi-stable faces and houses shared common neural substrates with perceiving unambiguous faces and houses. After source localizing the post-stimulus signals to the FFA, we analyzed oscillatory power and connectivity in FFA during a prestimulus interval. We found no differences in FFA power, but we did find differences in FFA connectivity prior to face vs house reports. Specifically, local graph theoretical measures showed that in the alpha frequency range (8-13 Hz), FFA was more efficiently and robustly connected to the rest of cortex prior to face reports. These prestimulus connectivity measures additionally predicted the accuracy of post-stimulus decoding. Our work suggests that object perception is shaped by ongoing network states captured with connectivity measures.

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Efficient Prestimulus Network Integration of Fusiform Face Area Biases Face Perception during Binocular Rivalry

Rassi

Wutz

Peatfield

et al. 2022

Journal of Cognitive Neuroscience

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Ongoing fluctuations in neural excitability and connectivity influence whether or not a stimulus is seen. Do they also influence which stimulus is seen? We recorded magnetoencephalography data while 21 human participants viewed face or house stimuli, either one at a time or under bistable conditions induced through binocular rivalry. Multivariate pattern analysis revealed common neural substrates for rivalrous versus nonrivalrous stimuli with an additional delay of ∼36 msec for the bistable stimulus, and poststimulus signals were source-localized to the fusiform face area. Before stimulus onset followed by a face versus house report, fusiform face area showed stronger connectivity to primary visual cortex and to the rest of the cortex in the alpha frequency range (8–13 Hz), but there were no differences in local oscillatory alpha power. The prestimulus connectivity metrics predicted the accuracy of poststimulus decoding and the delay associated with rivalry disambiguation suggesting that perceptual content is shaped by ongoing neural network states.

show abstract

Dynamical Network States as Predisposition of Perception

Cited by 3 publications

References 30 publications

Efficient prestimulus network integration of FFA biases face perception during binocular rivalry

Efficient prestimulus network integration of FFA biases face perception during binocular rivalry

Efficient prestimulus connectivity biases visual content

Efficient Prestimulus Network Integration of Fusiform Face Area Biases Face Perception during Binocular Rivalry

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