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Biology subjects

Schueler, C.

Publications and source records attributed to Schueler, C..

3 recordsLinked to original sources

Modeling the connectome of joint attention in infancy predicts Theory of Mind in preschool-age

Our ability to reason about other peoples mental states, labeled Theory of Mind (ToM), is critical for successful human interaction. Despite its importance for human cognition, early predictors of individual ToM development are lacking. Here, we trained a computational model to identify whole-brain connectivity patterns predictive of joint attention, from resting-state fMRI data of 8-15-month-old infants, and tested whether the identified connectome would also predict ToM capacity later in development. First, the model significantly predicted joint attention scores in an independent infant sample. Crucially, the identified connectome did indeed predict ToM in children aged 2-5 years. The default network and its interaction with the ventral attention network formed dominant connections of the network, suggesting that the interplay of bottom-up attention and higher-order cognition paves the way for mature social cognition. These findings provide an early marker for individual differences in social cognitive development, with high potential for the early diagnosis of social cognitive disorders.

neuroscience↗

A dorsal versus ventral network for understanding others in the developing brain

Young children strongly depend on others, and learning to understand their mental states (referred to as Theory of Mind, ToM) is a key challenge of early cognitive development. Traditionally, ToM is thought to emerge around the age of 4 years. Yet, in non-verbal tasks, preverbal infants already seem to consider others mental states when predicting their actions. These early non-verbal capacities, however, seem fragile and distinct from later-developing verbal ToM. So far, little is known about the nature of these early capacities and the neural networks supporting them. To identify these networks, we investigated the maturation of nerve fiber connections associated with childrens correct non-verbal action prediction and compared them with connections supporting verbal ToM reasoning in 3- to 4-year-old children, that is, before and after their breakthrough in verbal ToM. This revealed a ventral network for non-verbal action prediction versus a dorsal network for verbal ToM. Non-verbal capacities were associated with maturational indices in ventral fiber tracts connecting regions of the salience network, involved in bottom-up social attention processes. In contrast, verbal ToM performance correlated with maturational indices of the arcuate fascicle and cingulum, which dorsally connect regions of the default network, involved in higher-order social cognitive processes including ToM in adults. As non-verbal tasks were linked to connections of the salience network, young children may make use of salient perceptual social cues to predict others actions, questioning theories of mature ToM before 4 years. SignificanceAs highly social beings, humans frequently reason about other peoples thoughts, termed Theory of Mind (ToM). While ToM is traditionally assumed not to emerge before 4 years, preverbal infants already seem to consider others thoughts when predicting their actions non-verbally. This raises the question of when ToM develops and what explains this discrepancy. We show that young childrens success in non-verbal tasks is related to different neural networks than those involved in mature verbal ToM. While verbal ToM was linked to ToM network connections, younger childrens non-verbal capacities were associated with the maturation of connections of the salience network. This indicates that, instead of mature ToM, young children might utilize salient social cues to predict others actions.

neuroscience↗

IFITM proteins promote SARS-CoV-2 infection in human lung cells

Interferon-induced transmembrane proteins (IFITMs 1, 2 and 3) are thought to restrict numerous viral pathogens including severe acute respiratory syndrome coronaviruses (SARS-CoVs). However, most evidence comes from single-round pseudovirus infection studies of cells that overexpress IFITMs. Here, we verified that artificial overexpression of IFITMs blocks SARS-CoV-2 infection. Strikingly, however, endogenous IFITM expression was essential for efficient infection of genuine SARS-CoV-2 in human lung cells. Our results indicate that the SARS-CoV-2 Spike protein interacts with IFITMs and hijacks them for efficient viral entry. IFITM proteins were expressed and further induced by interferons in human lung, gut, heart and brain cells. Intriguingly, IFITM-derived peptides and targeting antibodies inhibited SARS-CoV-2 entry and replication in human lung cells, cardiomyocytes and gut organoids. Our results show that IFITM proteins are important cofactors for SARS-CoV-2 infection of human cell types representing in vivo targets for viral transmission, dissemination and pathogenesis and suitable targets for therapeutic approaches.

microbiology↗