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Motion area V5/MT+ response to global motion in the absence of V1 resembles early visual cortex.

Ajina S, Kennard C, Rees G, Bridge H - Brain (2014)

Bottom Line: It also confirms predictions that V1 is critically involved in normal V5/MT+ global motion processing, consistent with a convergent model of V1 input to V5/MT+.Historically, most attempts to model cortical visual responses do not consider the contribution of direct subcortical inputs that may bypass striate cortex, such as input to V5/MT+.We have shown that the signal change driven by these non-striate pathways can be measured, and suggest that models of the intact visual system may benefit from considering their contribution.

View Article: PubMed Central - PubMed

Affiliation: 1 FMRIB Centre, University of Oxford, UK 2 Nuffield Department of Clinical Neurosciences, University of Oxford, UK sara.ajina@ndcn.ox.ac.uk.

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Activity in V5/MT+ can be accurately predicted from a weighted-linear model. V5/MT+ activity in patients during blind hemifield stimulation can be combined with a simple positive linear component to predict BOLD signal change in V5/MT+ of controls to a high degree of precision. Relative weightings are signified here by α, β, and δ symbols.
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awu328-F5: Activity in V5/MT+ can be accurately predicted from a weighted-linear model. V5/MT+ activity in patients during blind hemifield stimulation can be combined with a simple positive linear component to predict BOLD signal change in V5/MT+ of controls to a high degree of precision. Relative weightings are signified here by α, β, and δ symbols.

Mentions: Using this model, we are able to account for 98% of the variance in control V5/MT+ functional MRI signal change (Fig. 5). This equation can also be rearranged to model the abnormal V5/MT+ responses in patients, defined by a loss of the positive linear component in control V5/MT+ responses, which also accurately predicts the data (R2 = 0.93), or indeed the positive linear component itself (R2 = 0.98).Figure 5


Motion area V5/MT+ response to global motion in the absence of V1 resembles early visual cortex.

Ajina S, Kennard C, Rees G, Bridge H - Brain (2014)

Activity in V5/MT+ can be accurately predicted from a weighted-linear model. V5/MT+ activity in patients during blind hemifield stimulation can be combined with a simple positive linear component to predict BOLD signal change in V5/MT+ of controls to a high degree of precision. Relative weightings are signified here by α, β, and δ symbols.
© Copyright Policy - creative-commons
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4285193&req=5

awu328-F5: Activity in V5/MT+ can be accurately predicted from a weighted-linear model. V5/MT+ activity in patients during blind hemifield stimulation can be combined with a simple positive linear component to predict BOLD signal change in V5/MT+ of controls to a high degree of precision. Relative weightings are signified here by α, β, and δ symbols.
Mentions: Using this model, we are able to account for 98% of the variance in control V5/MT+ functional MRI signal change (Fig. 5). This equation can also be rearranged to model the abnormal V5/MT+ responses in patients, defined by a loss of the positive linear component in control V5/MT+ responses, which also accurately predicts the data (R2 = 0.93), or indeed the positive linear component itself (R2 = 0.98).Figure 5

Bottom Line: It also confirms predictions that V1 is critically involved in normal V5/MT+ global motion processing, consistent with a convergent model of V1 input to V5/MT+.Historically, most attempts to model cortical visual responses do not consider the contribution of direct subcortical inputs that may bypass striate cortex, such as input to V5/MT+.We have shown that the signal change driven by these non-striate pathways can be measured, and suggest that models of the intact visual system may benefit from considering their contribution.

View Article: PubMed Central - PubMed

Affiliation: 1 FMRIB Centre, University of Oxford, UK 2 Nuffield Department of Clinical Neurosciences, University of Oxford, UK sara.ajina@ndcn.ox.ac.uk.

Show MeSH
Related in: MedlinePlus