Individual differences in the neural representation of cooperation and competition

Knyazev, G.G.; Savostyanov, A.N.; Bocharov, A.V.; Saprigyn, A.E.

doi:10.1016/j.neulet.2024.137738

Cited by 2 publications

References 24 publications

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Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics

Masharipov,

Knyazeva,

Korotkov

et al. 2024

Commun Biol

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Higher brain functions require flexible integration of information across widely distributed brain regions depending on the task context. Resting-state functional magnetic resonance imaging (fMRI) has provided substantial insight into large-scale intrinsic brain network organisation, yet the principles of rapid context-dependent reconfiguration of that intrinsic network organisation are much less understood. A major challenge for task connectome mapping is the absence of a gold standard for deriving whole-brain task-modulated functional connectivity matrices. Here, we perform biophysically realistic simulations to control the ground-truth task-modulated functional connectivity over a wide range of experimental settings. We reveal the best-performing methods for different types of task designs and their fundamental limitations. Importantly, we demonstrate that rapid (100 ms) modulations of oscillatory neuronal synchronisation can be recovered from sluggish haemodynamic fluctuations even at typically low fMRI temporal resolution (2 s). Finally, we provide practical recommendations on task design and statistical analysis to foster task connectome mapping.

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Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics

Masharipov,

Knyazeva,

Korotkov

et al. 2024

Commun Biol

View full text Add to dashboard Cite

show abstract

Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics

Masharipov,

Knyazeva,

Korotkov

et al. 2024

Preprint

View full text Add to dashboard Cite

Higher brain functions require flexible integration of information across widely distributed brain regions depending on the task context. Resting-state functional magnetic resonance imaging (fMRI) has provided substantial insight into large-scale intrinsic brain network organisation, yet the principles of rapid context-dependent reconfiguration of that intrinsic network organisation are much less understood. A major challenge for task connectome mapping is the absence of a gold standard for deriving whole-brain task-modulated functional connectivity matrices. Here, we performed biophysically realistic simulations to control the ground-truth task-modulated functional connectivity over a wide range of experimental settings. We revealed the best-performing methods for different types of task designs and their fundamental limitations. Importantly, we found that rapid (100 ms) modulations of oscillatory neuronal synchronisation can be recovered from sluggish haemodynamic fluctuations even at typically low fMRI temporal resolution (2 s). Finally, we provide practical recommendations on task design and statistical analysis to foster task connectome mapping.

show abstract

Individual differences in the neural representation of cooperation and competition

Cited by 2 publications

References 24 publications

Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics

Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics

Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics

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