Functional neuroimaging

…fields-of-view, lighter and faster functional neuroimaging devices. Using this insight, we developed a modular, mesoscale light field (MesoLF) imaging hardware and software solution (Nature Methods 20(4), 2023) that allows recording from thousands of neurons within volumes of ⌀ 4 × 0.2 mm located at depths of up to 350 μm in the mouse cortex. MesoLF achieves an imaging rate of 18 volumes per second and an effective voxel rate of approximately 40 Megavoxels per second. By using our optical design and compu

…accelerometry, electronic diaries, and functional neuroimaging, we examined the effectiveness of physical activity in offsetting affective loss due to social isolation in everyday life and investig

Predictive modeling and dimensionality reduction of functional neuroimaging data have provided rich information about the representations and functional architectures of the human brain. While these approaches have been effective in many cases, we will discuss how neglecting the internal dynamics of the brain (e.g., spontaneous activity, global dynamics, effective connectivity) and its underlying computational principles may hinder our progress in understanding and modeling brain functions. By reexamining evidence from our previous and ongoing work, we will propose new hypotheses and direction

…Functional neuroimaging studies have consistently identified a network of regions, including Supplementary Motor Area and basal ganglia, that are activated when participants make judgements about the duration of currently unfolding events. In parallel, left parietal cortex and cerebellum are activated when participants predict when future events are likely to occur. These structures are activated by temporal processing even when task goals are purely perceptual. S

…the cellular level with systems-level functional neuroimaging signals. Data available from animal models can provide vital constraints for the linkage across spatial and temporal scales. I will describe the construction of a macaque cortical connectome as an initial step towards a comprehensive multi-scale macaque TVB model. I will also describe our process of validating the connectome and show an example simulation of macaque resting-state dy

…connections between brain regions in functional neuroimaging data. Two of the most appealing features of this framework are its ability to estimate the directionality of connections between network nodes and its ability to determine whether those connections apply to everyone in a sample (group-level) or just to one person (individual-level). However, there are outstanding questions about the validity and stability of these estimates, including: 1) how recovery of connection dir