Topological insights into the neural basis of flexible behavior

Rouse, Tevin C.; Ni, Amy M.; Huang, Chengcheng; Cohen, Marlene R.

doi:10.1101/2021.09.24.461717

Cited by 4 publications

(6 citation statements)

References 65 publications

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“…Other TDA-based works aimed to describe the topology underlying the relationships between different brain areas, both at an instantaneous level [19] or by considering the complete temporal dynamics exhibited by each region [18,24,46,47]. Because our primary interest was to describe the temporal dimension of the suspense processing, the proposed TDA analysis focused on time and not on regions.…”

Section: Discussionmentioning

confidence: 99%

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Revealing brain network dynamics during the emotional state of suspense using topological data analysis

Olave,

Perea,

Gómez

2024

Preprint

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Suspense is an affective state ubiquitous in human life, from art to quotidian events. However, little is known about the behavior of large-scale brain networks during suspenseful experiences. To address this question, we examined the continuous brain responses of participants watching a suspenseful movie, along with reported levels of suspense from an independent set of viewers. We employ sliding window analysis and Pearson correlation to measure functional connectivity states over time. Then, we use Mapper, a topological data analysis tool, to obtain a graphical representation that captures the dynamical transitions of the brain across states; this representation enables the anchoring of the topological characteristics of the combinatorial object with the measured suspense. Our analysis revealed changes in functional connectivity within and between the salience, fronto-parietal, and default networks associated with suspense. In particular, the functional connectivity between the salience and fronto-parietal networks increased with the level of suspense. In contrast, the connections of both networks with the default network decreased. Together, our findings reveal specific dynamical changes in functional connectivity at the network level associated with variation in suspense, and suggest topological data analysis as a potentially powerful tool for studying dynamic brain networks.

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Section: Discussionmentioning

confidence: 99%

Section: Brain Dynamics and Tdamentioning

confidence: 99%

Revealing brain network dynamics during the emotional state of suspense using topological data analysis

Olave,

Perea,

Gómez

2024

Preprint

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“…By comparison, other subnetworks (e.g., fronto-parietal control networks) are better suited to facilitate transitions into difficult-to-reach topological organizations. These controllability characteristics appear to guide high-level cognitive and behavioral responses within organisms ( Rouse et al, 2021 ).…”

Section: Network Control Theory: Examining How Media Bring Brains Int...mentioning

confidence: 99%

Integrating media content analysis, reception analysis, and media effects studies

Schmälzle

Huskey

2023

Front. Neurosci.

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Every day, the world of media is at our fingertips, whether it is watching movies, listening to the radio, or browsing online media. On average, people spend over 8 h per day consuming messages from the mass media, amounting to a total lifetime dose of more than 20 years in which conceptual content stimulates our brains. Effects from this flood of information range from short-term attention bursts (e.g., by breaking news features or viral ‘memes’) to life-long memories (e.g., of one’s favorite childhood movie), and from micro-level impacts on an individual’s memory, attitudes, and behaviors to macro-level effects on nations or generations. The modern study of media’s influence on society dates back to the 1940s. This body of mass communication scholarship has largely asked, “what is media’s effect on the individual?” Around the time of the cognitive revolution, media psychologists began to ask, “what cognitive processes are involved in media processing?” More recently, neuroimaging researchers started using real-life media as stimuli to examine perception and cognition under more natural conditions. Such research asks: “what can media tell us about brain function?” With some exceptions, these bodies of scholarship often talk past each other. An integration offers new insights into the neurocognitive mechanisms through which media affect single individuals and entire audiences. However, this endeavor faces the same challenges as all interdisciplinary approaches: Researchers with different backgrounds have different levels of expertise, goals, and foci. For instance, neuroimaging researchers label media stimuli as “naturalistic” although they are in many ways rather artificial. Similarly, media experts are typically unfamiliar with the brain. Neither media creators nor neuroscientifically oriented researchers approach media effects from a social scientific perspective, which is the domain of yet another species. In this article, we provide an overview of approaches and traditions to studying media, and we review the emerging literature that aims to connect these streams. We introduce an organizing scheme that connects the causal paths from media content → brain responses → media effects and discuss network control theory as a promising framework to integrate media content, reception, and effects analyses.

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“…This uncovered a remarkably consistent activity manifold structure across datasets and different mice (Figure 1D, S1F). To quantify structure similarity, we used Topological Data Analysis, an emerging approach for quantitatively describing complex data structures 12,15,[66][67][68] . We measured structure similarity by assessing the difference (i.e., divergence) between the distributions of topological features across datasets (see procedure illustration in Figure S2A).…”

Section: Insular Cortex Population Activity Manifold Structure Is Ste...mentioning

confidence: 99%

“…This analysis revealed remarkably consistent structure of neuronal activity across datasets and across different mice (Figure 1d). To assess this structure similarity quantitatively, we used topological data analysis, which is emerging as an important approach for quantitative description of the structure of complex data 4,7,[44][45][46] . We measured the similarity by assessing the difference (i.e., divergence) between the distributions of topological features across datasets (see detailed illustration of the procedure in Supp.…”

Section: Insular Cortex Population Activity Manifold Structure Is Ste...mentioning

confidence: 99%

Stereotyped goal-directed manifold dynamics in the insular cortex

Talpir,

Livneh

2023

Preprint

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The insular cortex is involved in diverse processes including bodily homeostasis, emotions, and cognition. Yet little is known about how it processes information at the level of neuronal populations, precluding an understanding of the computations it performs. We leveraged recent advances in machine learning to study insular cortex population activity patterns (i.e., neuronal manifold) in mice performing goal-directed behaviors. We find that the insular cortex activity manifold is remarkably consistent across different animals and under different motivational states. Activity dynamics within the neuronal manifold are highly stereotyped during rewarded trials, enabling robust prediction of trial outcomes across different mice, and across various natural and artificial motivational states. Comparing goal-directed behavior with self-paced free consumption, we find that the stereotyped activity patterns reflect goal-directed reward anticipation, and not licking, taste, or valence. These findings reveal a core computation in insular cortex that could explain its involvement in pathologies involving aberrant motivations.

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Topological insights into the neural basis of flexible behavior

Cited by 4 publications

References 65 publications

Revealing brain network dynamics during the emotional state of suspense using topological data analysis

Revealing brain network dynamics during the emotional state of suspense using topological data analysis

Integrating media content analysis, reception analysis, and media effects studies

Stereotyped goal-directed manifold dynamics in the insular cortex

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