Pan-cortical 2-photon mesoscopic imaging and neurobehavioral alignment in awake, behaving mice

eLife, Год журнала: 2024, Номер 13

Опубликована: Янв. 23, 2024

The flow of neural activity across the neocortex during active sensory discrimination is constrained by task-specific cognitive demands, movements, and internal states. During behavior, brain appears to sample from a broad repertoire activation motifs. Understanding how these patterns local global are selected in relation both spontaneous task-dependent behavior requires in-depth study densely sampled at single neuron resolution large regions cortex. In significant advance toward this goal, we developed procedures record mesoscale 2-photon Ca2+ imaging data two novel vivo preparations that, between them, allow for simultaneous access nearly all 0f mouse dorsal lateral neocortex. As proof principle, aligned with behavioral primitives high-level motifs reveal existence populations neurons that coordinated their cortical areas changes movement and/or arousal. methods detail here facilitate identification exploration widespread, spatially heterogeneous ensembles whose related diverse aspects behavior.

Язык: Английский

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Modulation of metastable ensemble dynamics explains optimal coding at moderate arousal in auditory cortex

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Апрель 5, 2024

Performance during perceptual decision-making exhibits an inverted-U relationship with arousal, but the underlying network mechanisms remain unclear. Here, we recorded from auditory cortex (A1) of behaving mice passive tone presentation, while tracking arousal via pupillometry. We found that discriminability in A1 ensembles was optimal at intermediate revealing a population-level neural correlate relationship. explained this arousal-dependent coding using spiking model clustered architecture. Specifically, show stimulus is achieved near transition between multi-attractor phase metastable cluster dynamics (low arousal) and single-attractor (high arousal). Additional signatures include arousal-induced reductions overall variability extent stimulus-induced quenching, which observed empirical data. Our results elucidate computational principles interactions pupil-linked sensory processing, variability, suggest role for transitions explaining nonlinear modulations cortical computations.

Язык: Английский

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Thoughtful faces: inferring internal states across species using facial features

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Янв. 29, 2024

Animal behaviour is shaped to a large degree by internal cognitive states, but it unknown whether these states are similar across species. To address this question, we developed virtual reality setup in which mice and macaques engage the same naturalistic visual foraging task. We exploited richness of wide range facial features extracted from video recordings during task, train Markov-Switching Linear Regression (MSLR). By doing so, identified, on single-trial basis, set that reliably predicted when animals were going react presented stimuli. Even though model was trained purely reaction times, could also predict task outcome, supporting behavioural relevance inferred states. The identified comparable between monkeys. Furthermore, each state corresponded characteristic pattern features, highlighting importance expressions as manifestations

Язык: Английский

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Identifying the factors governing internal state switches during nonstationary sensory decision-making

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Фев. 4, 2024

Recent work has revealed that mice do not rely on a stable strategy during perceptual decision-making, but switch between multiple strategies within single session [1, 2]. However, this switching behavior yet been characterized in non-stationary environments, and the factors govern remain unknown. Here we address these questions using an internal state model with input-driven transitions. Our approach relies hidden Markov (HMM) two sets of per-state generalized linear models (GLMs): set Bernoulli GLMs for modeling animal state- stimulus-dependent choice each trial, multinomial GLM input-dependent transitions states. We used to analyze dataset from International Brain Laboratory (IBL), which performed binary decision-making task stimulus statistics. found mouse was accurately described by four-state model. This contained "engaged" states, performance good despite slight left right biases, "disengaged" where low exhibited larger respectively. analyses preferentially left-bias blocks, right-bias meaning they could achieve reasonably high even disengaged states simply biasing toward side greater prior probability. showed past choices stimuli predicted left- while rewards engaged In particular, reward transition suggesting disengagement may be associated satiety.

Язык: Английский

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Spontaneous movements and their impact on neural activity fluctuate with latent engagement states

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Июнь 26, 2023

Existing work demonstrates that animals alternate between engaged and disengaged states during perceptual decision-making. To understand the neural signature of these states, we performed cortex-wide measurements activity in mice making auditory decisions. The trial-averaged magnitude was similar two states. However, trial-to-trial variance higher disengagement. this increased variance, trained separate linear encoding models on data from each state. demonstrated although task variables task-aligned movements impacted similarly are independent events explained more Behavioral analyses uncovered disengagement, become uncoupled to events. Taken together, results argue though obscured activity, is evident variability driven by changing patterns spontaneous movements.

Язык: Английский

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Strategic stabilization of arousal boosts sustained attention

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2022, Номер unknown

Опубликована: Март 6, 2022

Summary Changes in autonomic arousal, such as mounting sleep pressure, and changes motivation, fluctuating environmental reward statistics, both profoundly influence behavior. Our experience tells us that we have some capacity to control our arousal when doing so is important, staying awake while driving a motor vehicle. However, little known about how decision computations are jointly influenced by including whether animals, rodents, can adapt their state needs. Here, developed show results from an auditory feature-based sustained-attention task with intermittently shifting utility. We use pupil size estimate across wide range of states apply novel signal detection theoretic accumulation-to-bound modeling approaches large behavioral cohort. find pupil-linked utility major impacts on multiple aspects performance. Although substantial fluctuations persist conditions, mice partially stabilize near intermediate, optimal, level high. Behavioral analyses elements behavior improve during high influences some, but not all, them. Specifically, the likelihood timescale sensory evidence accumulation, quantity accumulated per time step attending. In sum, establish specific decision-computational signatures interaction, attention. So doing, provide experimental analysis framework for studying self-regulation neurotypical brains diseases attention-deficit/hyperactivity disorder.

Язык: Английский

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Pan-cortical 2-photon mesoscopic imaging and neurobehavioral alignment in awake, behaving mice

Опубликована: Март 28, 2024

The flow of neural activity across the neocortex during active sensory discrimination is constrained by task-specific cognitive demands, movements, and internal states. During behavior, brain appears to sample from a broad repertoire activation motifs. Understanding how these patterns local global are selected in relation both spontaneous task-dependent behavior requires in-depth study densely sampled at single neuron resolution large regions cortex. In significant advance toward this goal, we developed procedures record mesoscale 2-photon Ca 2+ imaging data two novel vivo preparations that, between them, allow simultaneous access nearly all mouse dorsal lateral neocortex. As proof principle, aligned with behavioral primitives high-level motifs reveal existence populations neurons that coordinated their cortical areas changes movement and/or arousal. methods detail here facilitate identification exploration widespread, spatially heterogeneous ensembles whose related diverse aspects behavior.

Язык: Английский

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Pan-cortical 2-photon mesoscopic imaging and neurobehavioral alignment in awake, behaving mice

eLife, Год журнала: 2024, Номер 13

Опубликована: Май 29, 2024

The flow of neural activity across the neocortex during active sensory discrimination is constrained by task-specific cognitive demands, movements, and internal states. During behavior, brain appears to sample from a broad repertoire activation motifs. Understanding how these patterns local global are selected in relation both spontaneous task-dependent behavior requires in-depth study densely sampled at single neuron resolution large regions cortex. In significant advance toward this goal, we developed procedures record mesoscale 2-photon Ca 2+ imaging data two novel vivo preparations that, between them, allow for simultaneous access nearly all 0f mouse dorsal lateral neocortex. As proof principle, aligned with behavioral primitives high-level motifs reveal existence populations neurons that coordinated their cortical areas changes movement and/or arousal. methods detail here facilitate identification exploration widespread, spatially heterogeneous ensembles whose related diverse aspects behavior.

Язык: Английский

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Strategic stabilization of arousal boosts sustained attention

Current Biology, Год журнала: 2024, Номер 34(18), С. 4114 - 4128.e6

Опубликована: Авг. 15, 2024

Arousal and motivation interact to profoundly influence behavior. For example, experience tells us that we have some capacity control our arousal when appropriately motivated, such as staying awake while driving a motor vehicle. However, little is known about how jointly decision computations, including if animals, rodents, adapt their state needs. Here, developed show results from an auditory, feature-based, sustained-attention task with intermittently shifting utility. We use pupil size estimate across wide range of states apply tailored signal-detection theoretic, hazard function, accumulation-to-bound modeling approaches in large cohort mice. find pupil-linked utility both major impacts on multiple aspects performance. Although substantial fluctuations persist conditions, mice partially stabilize near intermediate optimal level high. Behavioral analyses elements behavior improve during high influences some, but not all, them. Specifically, the likelihood timescale sensory evidence accumulation quantity accumulated per time step attending. In sum, establish specific decision-computational signatures arousal, motivation, interaction attention. So doing, provide experimental analysis framework for studying self-regulation neurotypical brains diseases attention-deficit/hyperactivity disorder.

Язык: Английский

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Separating cognitive and motor processes in the behaving mouse

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Авг. 24, 2023

The cognitive processes supporting complex animal behavior are closely associated with ubiquitous movements responsible for our posture, facial expressions, ability to actively sample sensory environments, and other critical processes. These strongly related neural activity across much of the brain often highly correlated ongoing processes, making it challenging dissociate dynamics that support from those movements. In such cases, a issue is whether separable movements, or if they driven by common mechanisms. Here, we demonstrate how separability motor can be assessed, and, when separable, each component isolated. We establish novel two-context behavioral task in mice involves multiple show commonly observed taken contaminated When components isolated using approach subspace decomposition, find exhibit distinct dynamical trajectories. Further, properly accounting movement revealed largely separate populations cells encode variables, contrast "mixed selectivity" reported. Accurately isolating particular will essential developing conceptual computational models circuit function evaluating cell types which circuits composed.

Язык: Английский

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