Across animal phyla, odor information is represented in the first olfactory processing center by combinatorial activation of discrete glomeruli. To examine how this organization of olfactory processin...

| The University of Vermont

Intermittent theta burst stimulation (iTBS) is a widely used form of brain stimulation, developed on the premise that it promotes long-term potentiation (LTP) and neural excitation. However, this is n...

An imaging system developed to record cellular activity throughout the whole body of zebrafish captures cellular organ dynamics and identifies multiple distributed circuits.

The routing of information across the brain's structural network is central to its wide range of functional capabilities. However, the mechanisms underlying information routing in complex brain networ...

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The Adolescent Brain Cognitive Development (ABCD) and HEALthy Brain and Child Development (HBCD) studies, the largest longitudinal brain development studies in U.S. history, are producing transformati...

There are now multiple Drosophila connectomes available, comprising both its brain and spinal cord - comparing these connectomes requires first classifying neurons into cell types. Existing approaches...

Previous brain-wide association studies (BWAS) have linked specific environmental and behavioral variables to brain variability. In this work, we mapped 649 variables to children’s brains and compared...

Abstract. The functional network architecture of the aging brain undergoes significant systematic and idiosyncratic changes. Emergent individualized network mapping approaches may yield better or more...

The principles organizing cellular diversity and connectivity in primate brains remain elusive. By integrating spatial transcriptomics, magnetic resonance imaging, and retrograde labeling in marmosets...

Natural sciences; Biological sciences; Neuroscience; Systems neuroscience; Techniques in neuroscience

Recent changes in Indiana law have affected higher education throughout the state. This article was written by The Indiana Citizen and re-published by The Exponent as part of a joint project.

Functional connectivity in network neuroscience is traditionally characterized using time-averaged correlations between brain regions. While these summaries capture stable large-scale organization, they do not fully reflect the temporal structure of moment-to-moment interactions. Here, we investigate how the order of interaction used to represent brain dynamics shapes the organization recovered from neural data. We compare three interaction representations of fMRI dynamics: regional activation (node time series), pairwise co-fluctuations (edge time series), and higher-order triplet interactions (triangle time series); within a common topological framework using Mapper from topological data analysis (TDA). Across task and resting-state data, Mapper representations derived from pairwise co-fluctuations more distinctly segregate task conditions than activation-based or higher-order representations. This organization reflects structured coordination patterns beyond activation polarity and is driven by high-amplitude interaction events. Beyond task states, modularity quality computed across all Mapper representations is highest for edge time series and selectively associated with stable individual differences: higher modularity relates to higher conscientiousness and lower internalizing and externalizing symptom dimensions. Together, these findings suggest that behaviorally relevant information is reflected in the topology of moment-to-moment brain interactions. Topological analysis of interaction-level dynamics therefore provides a complementary and interpretable framework for linking large-scale neural coordination to cognition, personality, and mental health. ### Competing Interest Statement The authors have declared no competing interest. National Institute of Mental Health, https://ror.org/04xeg9z08, MH127608 Stanford Maternal and Child Health Research Institute, https://ror.org/00yt0ea73, Faculty Scholar Award

This research investigates optimal brain states for predicting autistic traits using connectome-based predictive modeling across four datasets. Findings indicate that a sustained attention task enhanc...

Abstract. Understanding how the brain gives rise to social cognition has been a key goal of neuroimaging research. Both changes in regional activation as well as functional connectivity have been impl...

Seguin et al. show that the efficacy of transcranial magnetic stimulation for depression depends on how stimulation spreads through the brain’s wiring. Patients with shorter communication pathways bet...

An embedding-based disruption measure not only robustly captures disruptive works but also reveals simultaneous discoveries.