Theory of visual attention thalamic model for visual short-term memory capacity and top-down control: Evidence from a thalamo-cortical structural connectivity analysis

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Standard

Theory of visual attention thalamic model for visual short-term memory capacity and top-down control : Evidence from a thalamo-cortical structural connectivity analysis. / Menegaux, Aurore; Napiorkowski, Natan; Neitzel, Julia; Ruiz-Rizzo, Adriana L.; Petersen, Anders; Müller, Hermann J.; Sorg, Christian; Finke, Kathrin.

I: NeuroImage, Bind 195, 15.07.2019, s. 67-77.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Menegaux, A, Napiorkowski, N, Neitzel, J, Ruiz-Rizzo, AL, Petersen, A, Müller, HJ, Sorg, C & Finke, K 2019, 'Theory of visual attention thalamic model for visual short-term memory capacity and top-down control: Evidence from a thalamo-cortical structural connectivity analysis', NeuroImage, bind 195, s. 67-77. https://doi.org/10.1016/j.neuroimage.2019.03.052

APA

Menegaux, A., Napiorkowski, N., Neitzel, J., Ruiz-Rizzo, A. L., Petersen, A., Müller, H. J., Sorg, C., & Finke, K. (2019). Theory of visual attention thalamic model for visual short-term memory capacity and top-down control: Evidence from a thalamo-cortical structural connectivity analysis. NeuroImage, 195, 67-77. https://doi.org/10.1016/j.neuroimage.2019.03.052

Vancouver

Menegaux A, Napiorkowski N, Neitzel J, Ruiz-Rizzo AL, Petersen A, Müller HJ o.a. Theory of visual attention thalamic model for visual short-term memory capacity and top-down control: Evidence from a thalamo-cortical structural connectivity analysis. NeuroImage. 2019 jul. 15;195:67-77. https://doi.org/10.1016/j.neuroimage.2019.03.052

Author

Menegaux, Aurore ; Napiorkowski, Natan ; Neitzel, Julia ; Ruiz-Rizzo, Adriana L. ; Petersen, Anders ; Müller, Hermann J. ; Sorg, Christian ; Finke, Kathrin. / Theory of visual attention thalamic model for visual short-term memory capacity and top-down control : Evidence from a thalamo-cortical structural connectivity analysis. I: NeuroImage. 2019 ; Bind 195. s. 67-77.

Bibtex

@article{c1910e22e60c40b892dba3c8d661de0e,
title = "Theory of visual attention thalamic model for visual short-term memory capacity and top-down control: Evidence from a thalamo-cortical structural connectivity analysis",
abstract = "In the theory of visual attention (TVA), it is suggested that objects in a visual scene compete for representation in a visual short-term memory (vSTM) store. The race towards the store is assumed to be biased by top-down controlled weighting of the objects according to their task relevance. Only objects that reach the store before its capacity limitation is reached are represented consciously in a given instant. TVA-based computational modeling of participants{\textquoteright} performance in whole- and partial-report tasks permits independent parameters of individual efficiency of top-down control α and vSTM storage capacity K to be extracted. The neural interpretation of the TVA proposes recurrent loops between the posterior thalamus and posterior visual cortices to be relevant for generating attentional weights for competing objects and for maintaining selected objects in vSTM. Accordingly, we tested whether structural connectivity between posterior thalamus and occipital cortices (PT-OC) is associated with estimates of top-down control and vSTM capacity. We applied whole- and partial-report tasks and probabilistic tractography in a sample of 37 healthy adults. We found vSTM capacity K to be associated with left PT-OC structural connectivity and a trend-wise relation between top-down control α and right PT-OC structural connectivity. These findings support the assumption of the relevance of thalamic structures and their connections to visual cortex for top-down control and vSTM capacity.",
keywords = "Diffusion tensor imaging, Neural theory of visual attention, Posterior thalamus, Probabilistic tractography, Visual short-term memory capacity",
author = "Aurore Menegaux and Natan Napiorkowski and Julia Neitzel and Ruiz-Rizzo, {Adriana L.} and Anders Petersen and M{\"u}ller, {Hermann J.} and Christian Sorg and Kathrin Finke",
year = "2019",
month = jul,
day = "15",
doi = "10.1016/j.neuroimage.2019.03.052",
language = "English",
volume = "195",
pages = "67--77",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Theory of visual attention thalamic model for visual short-term memory capacity and top-down control

T2 - Evidence from a thalamo-cortical structural connectivity analysis

AU - Menegaux, Aurore

AU - Napiorkowski, Natan

AU - Neitzel, Julia

AU - Ruiz-Rizzo, Adriana L.

AU - Petersen, Anders

AU - Müller, Hermann J.

AU - Sorg, Christian

AU - Finke, Kathrin

PY - 2019/7/15

Y1 - 2019/7/15

N2 - In the theory of visual attention (TVA), it is suggested that objects in a visual scene compete for representation in a visual short-term memory (vSTM) store. The race towards the store is assumed to be biased by top-down controlled weighting of the objects according to their task relevance. Only objects that reach the store before its capacity limitation is reached are represented consciously in a given instant. TVA-based computational modeling of participants’ performance in whole- and partial-report tasks permits independent parameters of individual efficiency of top-down control α and vSTM storage capacity K to be extracted. The neural interpretation of the TVA proposes recurrent loops between the posterior thalamus and posterior visual cortices to be relevant for generating attentional weights for competing objects and for maintaining selected objects in vSTM. Accordingly, we tested whether structural connectivity between posterior thalamus and occipital cortices (PT-OC) is associated with estimates of top-down control and vSTM capacity. We applied whole- and partial-report tasks and probabilistic tractography in a sample of 37 healthy adults. We found vSTM capacity K to be associated with left PT-OC structural connectivity and a trend-wise relation between top-down control α and right PT-OC structural connectivity. These findings support the assumption of the relevance of thalamic structures and their connections to visual cortex for top-down control and vSTM capacity.

AB - In the theory of visual attention (TVA), it is suggested that objects in a visual scene compete for representation in a visual short-term memory (vSTM) store. The race towards the store is assumed to be biased by top-down controlled weighting of the objects according to their task relevance. Only objects that reach the store before its capacity limitation is reached are represented consciously in a given instant. TVA-based computational modeling of participants’ performance in whole- and partial-report tasks permits independent parameters of individual efficiency of top-down control α and vSTM storage capacity K to be extracted. The neural interpretation of the TVA proposes recurrent loops between the posterior thalamus and posterior visual cortices to be relevant for generating attentional weights for competing objects and for maintaining selected objects in vSTM. Accordingly, we tested whether structural connectivity between posterior thalamus and occipital cortices (PT-OC) is associated with estimates of top-down control and vSTM capacity. We applied whole- and partial-report tasks and probabilistic tractography in a sample of 37 healthy adults. We found vSTM capacity K to be associated with left PT-OC structural connectivity and a trend-wise relation between top-down control α and right PT-OC structural connectivity. These findings support the assumption of the relevance of thalamic structures and their connections to visual cortex for top-down control and vSTM capacity.

KW - Diffusion tensor imaging

KW - Neural theory of visual attention

KW - Posterior thalamus

KW - Probabilistic tractography

KW - Visual short-term memory capacity

U2 - 10.1016/j.neuroimage.2019.03.052

DO - 10.1016/j.neuroimage.2019.03.052

M3 - Journal article

C2 - 30928688

AN - SCOPUS:85063742246

VL - 195

SP - 67

EP - 77

JO - NeuroImage

JF - NeuroImage

SN - 1053-8119

ER -

ID: 229736446