Huriye Atilgan

The claustrum is among the most highly interconnected structures in the mammalian brain, with reciprocal projections spanning the cortical mantle and a growing roster of functions that range from sleep regulation to attentional control. Here we review current understanding of claustral circuit organization and function, synthesizing findings from anatomical, physiological, computational, and behavioral studies. We argue that a unifying logic underlies the apparent diversity of claustral functions: the claustrum operates through projection-defined subnetworks whose input selectivity, output targets, and local circuit interactions collectively determine their functional contribution and whose impact on cortical targets varies with arousal and ongoing brain state. Corticoclaustral connectivity is organized into matched inputoutput modules, local inhibitory circuits confer spatial filtering properties that amplify strong cortical signals while suppressing weaker ones and claustral output populations differ in their laminar targets, postsynaptic cell-type preferences, and molecular properties, producing diverse and context-dependent effects on cortical dynamics. These circuit properties translate into claustral regulation of cortical population dynamics across multiple timescales, from the moment-to-moment coordination of brain states to the consolidation of frontal control strategies. In pain and addiction, specific claustral projection populations are selectively dysregulated, and distinct subnetworks exert opposing influences on nociceptive sensitivity and drug-related behavior according to their cortical targets. Together, these findings position the claustrum as a modular subcortical hub for the selective regulation of distributed cortical networks and identify it as a candidate therapeutic target for disorders characterized by dysregulated cortical network activity, including chronic pain, addiction, and impulsivity.

The claustrum is a densely interconnected structure involved in cognitive functions, but its influence on prefrontal circuits remains unclear. We conducted two-photon calcium imaging to assess mice dorsal prefrontal cortex (dPFC) cell responses during exposure to visual stimuli and widefield photostimulation of claustrum axons embedded in the dPFC. We identified three distinct subpopulations of neurons — sensory responsive, opto responsive, and opto-boosted cells—each exhibiting unique response dynamics to combined visual and optogenetic stimuli. Our findings reveal that claustrum stimulation increased single-cell variability while aligning average responses across neurons, thereby enhancing network homogeneity. During Pavlovian training, enhanced variability persisted, but homogeneity increased further, suggesting experience-dependent refinement. Finally, we performed claustrum axon silencing experiments which revealed that the claustrum may operate bidirectionally to maintain enhanced variability and homogeneity in the dPFC. These results highlight the crucial role of the claustrum in dynamically modulating dPFC activity, impacting both neuronal variability and network synchronization.

Three-photon (3P) microscopy enables functional non-invasive single-cell resolution imaging at greater depths than any other technique. A key challenge of deep imaging is tissue-induced optical aberration, which reduces the excitation confinement. Adaptive optics use deformable mirrors to compensate for optical distortions, hence correcting these aberrations. Here, we present a practical adaptive optics-assisted 3P imaging system for functional imaging in the mouse brain during behavior. We introduce hierarchical corrections that sequentially target aberrations caused by the microscope system, the cranial window, and tissue depth. We demonstrate the utility of this strategy in the prelimbic cortex, where large vasculature near the midline causes aberrations, and in the lateral somatosensory cortex, where side access leads to distinct wavefront distortions. In both regions, adaptive optics significantly improved imaging performance, restoring cellular visibility near vasculature and enhancing signal-to-noise ratio. Our work provides a practical framework for utilizing adaptive optics to improve 3P imaging during behavior.

Summary There are often sudden changes in the state of environment. For a decision maker, accurate prediction and detection of change points are crucial for optimizing performance. Still unclear, however, is whether rodents are simply reactive to reinforcements, or if they can be proactive to estimate future change points during value-based decision making. In this study, we characterize head-fixed mice performing a two-armed bandit task with probabilistic reward reversals. Choice behavior deviates from classic reinforcement learning, but instead suggests a strategy involving belief updating, consistent with the anticipation of change points to exploit the task structure. Excitotoxic lesion and optogenetic inactivation implicate the anterior cingulate and premotor regions of medial frontal cortex. Specifically, over-estimation of hazard rate arises from imbalance across frontal hemispheres during the time window before the choice is made. Collectively, the results demonstrate that mice can capitalize on their knowledge of task regularities, and this estimation of future changes in the environment may be a main computational function of the rodent dorsal medial frontal cortex.

The claustrum is recognized for its significant impact on various cognitive functions and its extensive connections with other brain regions, yet its functional role remains to be fully understood. Here, we utilized an optogenetic approach to investigate the claustrum’s influence on neuronal activity within the dorsal prefrontal cortex (dPFC) of mice. We conducted two-photon calcium imaging to assess dPFC cell responses during exposure to visual stimuli and widefield photostimulation of claustrum axons embedded in the dPFC. We identified three distinct subpopulations of neurons — sensory responsive, opto responsive, and opto-boosted cells — each exhibiting unique response dynamics to combined visual and optogenetic stimuli. Our findings reveal that stimulation of claustrum axons can normalize neuronal responsiveness, while enhancing neural variability, and significantly increasing network homogeneity. Training in a Pavlovian task showed that while enhanced variability with claustrum axon stimulation in neural responses persists, training does not further increase this variability but instead leads to greater network homogeneity. Additionally, we also performed claustrum axon silencing experiments that revealed that the claustrum may operate bidirectionally to maintain enhanced variability and homogeneity in the prefrontal cortex. These results highlight the crucial role of the claustrum in dynamically modulating dPFC activity, impacting both neuronal variability and network synchronization.

Auditory learning is supported by long-term changes in the neural processing of sound. We examined these task-depend changes in auditory cortex by mapping neural sensitivity to timbre, pitch and location cues in trained ferrets (n = 5), and untrained control ferrets (n = 5). Trained animals either identified vowels in a two-alternative forced choice task (n = 3) or discriminated when a repeating vowel changed in identity or pitch (n = 2). Neural responses were recorded under anesthesia in two primary auditory cortical fields and two tonotopically organized non-primary fields. In trained animals, the overall sensitivity to sound timbre was reduced across three cortical fields compared to control animals, but maintained in a non-primary field (the posterior pseudosylvian field). While training did not increase sensitivity to timbre across auditory cortex, it did change the way in which neurons integrated spectral information with neural responses in trained animals increasing their sensitivity to first and second formant frequencies,, whereas in control animals’ cortical sensitivity to spectral timbre depends mostly on the second formant. Animals trained on timbre identification were required to generalize across pitch when discriminating timbre and their neurons became less modulated by fundamental frequency relative to control animals. Finally, both trained groups showed increased spatial sensitivity and an enhanced response to sound source locations close to the midline, where the loudspeaker was located in the training chamber. These results demonstrate that training elicited widespread alterations in the cortical representation of complex sounds.

There are often sudden changes in the state of environment. For a decision maker, accurate prediction and detection of change points are crucial for optimizing performance. Still unclear, however, is whether rodents are simply reactive to reinforcements, or if they can be proactive to estimate future change points during value-based decision making. In this study, we characterize head-fixed mice performing a two-armed bandit task with probabilistic reward reversals. Choice behavior deviates from classic reinforcement learning, but instead suggests a strategy involving belief updating, consistent with the anticipation of change points to exploit the task structure. Excitotoxic lesion and optogenetic inactivation implicate the anterior cingulate and premotor regions of medial frontal cortex. Specifically, over-estimation of hazard rate arises from imbalance across frontal hemispheres during the time window before the choice is made. Collectively, the results demonstrate that mice can capitalize on their knowledge of task regularities, and this estimation of future changes in the environment may be a main computational function of the rodent dorsal medial frontal cortex.

The claustrum is the most densely interconnected region in the human brain. Despite the accumulating data from clinical and experimental studies, the functional role of the claustrum remains unknown. Here, we systematically review claustrum lesion studies and discuss their functional implications. Claustral lesions are associated with an array of signs and symptoms, including changes in cognitive, perceptual and motor abilities; electrical activity; mental state; and sleep. The wide range of symptoms observed following claustral lesions do not provide compelling evidence to support prominent current theories of claustrum function such as multisensory integration or salience computation. Conversely, the lesions studies support the hypothesis that the claustrum regulates cortical excitability. We argue that the claustrum is connected to, or part of, multiple brain networks that perform both fundamental and higher cognitive functions. As a multifunctional node in numerous networks, this may explain the manifold effects of claustrum damage on brain and behaviour.

In a competitive game involving an animal and an opponent, the outcome is contingent on the choices of both players. To succeed, the animal must continually adapt to competitive pressure, or else risk being exploited and lose out on rewards. In this study, we demonstrate that head-fixed male mice can be trained to play the iterative competitive game “matching pennies” against a virtual computer opponent. We find that the animals’ performance is well described by a hybrid computational model that includes Q-learning and choice kernels. Comparing between matching pennies and a non-competitive two-armed bandit task, we show that the tasks encourage animals to operate at different regimes of reinforcement learning. To understand the involvement of neuromodulatory mechanisms, we measure fluctuations in pupil size and use multiple linear regression to relate the trial-by-trial transient pupil responses to decision-related variables. The analysis reveals that pupil responses are modulated by observable variables, including choice and outcome, as well as latent variables for value updating, but not action selection. Collectively, these results establish a paradigm for studying competitive decision-making in head-fixed mice and provide insights into the role of arousal-linked neuromodulation in the decision process. Visual Abstract