The Journal of Neuroscience

When we produce sounds ourselves, the brain modulates the auditory neural response through an efference copy mechanism, allowing us to distinguish between self-initiated and externally generated auditory inputs. However, the precise level of the auditory pathway at which this attenuation occurs remains unclear. While evidence from animal models suggests that early auditory processing of self-generated sounds may be modulated by corticofugal signaling, localized cortical modulation would preserve the high-fidelity subcortical sound encoding while allowing flexible, context-dependent processing at higher levels. To probe potential motor influences in the early auditory system, we collected scalp-recorded frequency following responses (FFRs) from 33 normal-hearing adults during active (self-initiated) and passive (externally presented) listening conditions using a 170 ms speech stimulus. Data were collected with a vertical montage that emphasizes subcortical generators of the FFR. We observed no significant differences in the FFR between active and passive conditions in spectral power, response amplitude, pitch tracking, onset latency, or phase consistency. In contrast, cortical event-related potentials showed motor-induced suppression (MIS): reduced early peak amplitudes in the active condition after correcting for motor signals, increased phase consistency prior to auditory feedback, and more precise phase consistency at sound offset. In addition to indicating FFRs can be collected during a wider range of behavioral tasks without substantial motor contamination, our observation of the canonical MIS in cortical signals but not in FFRs suggests that MIS of self-initiated sounds primarily affects later stages of auditory processing rather than the early encoding reflected in the FFR.

Optogenetic stimulation of the rostral pedunculotegmental nucleus (PTg) induces global motor arrest, but it remains unclear whether this is merely a suppression of motor activity or a broader disruption of brain processes required to guide action. We developed a visuospatial cue task for rats, to test if sensory information presented during PTg-induced arrest can guide later responses. Here, we show that optogenetic stimulation during cue presentation reduces accuracy to chance level. By moving stimulation to only before or only after the cue, we found that performance was only affected when stimulation and cue presentation overlapped, that rats recover cue-guided behavior almost immediately at the end of stimulation, and that stimulation does not appear to abolish responses based on cue information acquired before arrest. These findings indicate that stimulation of the rostral PTg does not only pause motor output but transiently disrupts the ability to process and use cue information effectively.

Coherent scenes facilitate object recognition, but the representational basis of this facilitation and its temporal evolution in the brain remain unclear. We tested this question using EEG and multivariate pattern analysis while 15 participants categorized objects from five semantic categories after a 500-ms preview of either an intact rendered scene or a phase-scrambled version of the same background. Reliable object decoding emerged earlier in intact scenes than scrambled scenes (142 {+/-} 5 vs. 162 {+/-} 10 ms), with higher decoding for intact scenes from 124 to 268 ms after object onset. Cross-condition decoding object information that generalized across scene formats, whereas subtracting cross-condition from within-condition decoding identified an earlier and stronger context-dependent component when scene structure was coherent. Cross-temporal representational similarity analysis (RSA) further showed that representational structure established during late scene preview generalized to early object processing only for intact scenes, linking contextual facilitation to anticipatory scene-derived representations. Finally, model-to-brain RSA showed that a language-aligned model explained neural representational geometry in intact scenes better than vision-only models, an advantage attenuated by scene scrambling. These findings indicate that coherent scene context shapes object coding by accelerating object-selective processing and contributing context-dependent representational structure beyond a context-invariant object code.

The medial prefrontal cortex (mPFC) plays a significant role in modulating the threat response, particularly in ambiguous circumstances. The mPFC performs this role through its connectivity with multiple brain regions, including the amygdala, long regarded as the central hub for threat responses. However, the roles of specific prefrontal projections to the amygdala in contextual threat discrimination are not yet fully understood, particularly regarding more complex learning tasks and when disentangling the functionally distinct prelimbic (PL) subunit of the mPFC. Here, we challenged mice with a contextual differential threat conditioning (DTC) learning task in which subjects were repeatedly exposed to one context predictive of a foot shock (CS+) and to a similar yet distinct context that was not (CS-). While control mice showed a similar threat response in both contexts immediately after threat conditioning, within a few days of contextual exposures, controls acquire threat discrimination and freeze less to CS- than to CS+ during late DTC. However, we found that inducing localized hypofunction of neuroplasticity in PL neurons projecting to the basolateral amygdala (BLA) impairs performance on DTC. This finding identifies the specific population of neurons in PL cortices as a critical site for learning to discriminate threat.

The hippocampal CA3 subfield is central to associative learning and memory consolidation. The principal cells of the CA3, pyramidal neurons, execute these functions by generating hypersynchronous bursts that feed forward to the CA1. Extensive recurrent collateral connections within the CA3 neuron population are crucial for the generation of this burst activity. Double C2 domain-containing protein (Doc2) and synaptotagmin 7 (Syt7) are high-affinity calcium sensors implicated in asynchronous synaptic vesicle (SV) release and in the exocytosis of dense-core vesicles (DCVs). Additionally, Doc2 is a sensor for miniature neurotransmission, whereas Syt7 is involved in synaptic facilitation and SV replenishment. Both Doc2 and Syt7 are expressed in the hippocampus, but their potential roles in spontaneous excitatory network activity remain unanswered. Using whole-cell recordings in disinhibited acute hippocampal slices obtained from juvenile Doc2- and Syt7- knockout (KO) mice (P15-21), we report increased CA3 burst generation without changes in spontaneous excitatory postsynaptic current (sEPSC) frequency or amplitude. Moreover, the intrinsic properties of CA3 pyramidal neurons, such as the resting membrane potential, firing rate and input resistance, are unchanged. We propose that this novel burst phenotype in Doc2- and Syt7- KO mice is unrelated to changes in SV release but might be mediated by changes in neuropeptide release from DCVs. Regardless of the underlying mechanisms, this work reveals that both proteins act to regulate network activity. The hippocampal CA3 subfield is central to associative learning and memory consolidation. The principal cells of the CA3, pyramidal neurons, execute these functions by generating hypersynchronous bursts that feed forward to the CA1. Extensive recurrent collateral connections within the CA3 neuron population are crucial for the generation of this burst activity. Double C2 domain-containing protein (Doc2) and synaptotagmin 7 (Syt7) are high-affinity calcium sensors implicated in asynchronous synaptic vesicle (SV) release and in the exocytosis of dense-core vesicles (DCVs). Additionally, Doc2 is a sensor for miniature neurotransmission, whereas Syt7 is involved in synaptic facilitation and SV replenishment. Both Doc2 and Syt7 are expressed in the hippocampus, but their potential roles in spontaneous excitatory network activity remain unanswered. Using whole-cell recordings in disinhibited acute hippocampal slices obtained from juvenile Doc2- and Syt7- knockout (KO) mice (P15-21), we report increased CA3 burst generation without changes in spontaneous excitatory postsynaptic current (sEPSC) frequency or amplitude. Moreover, the intrinsic properties of CA3 pyramidal neurons, such as the resting membrane potential, firing rate and input resistance, are unchanged. We propose that this novel burst phenotype in Doc2- and Syt7- KO mice is unrelated to changes in SV release but might be mediated by changes in neuropeptide release from DCVs. Regardless of the underlying mechanisms, this work reveals that both proteins act to regulate network activity.

Membrane protein trafficking is essential for synaptic growth, maintenance, function, and plasticity, and involves the regulated exocytosis and endocytosis of proteins to and from the pre-and post-synaptic membranes. Defects in the clearance of membrane proteins can lead to the accumulation of ubiquitinated membrane proteins and contribute to neurodegenerative disease. The ESCRT (endosomal sorting complexes required for transport) machinery binds and sorts ubiquitinated membrane proteins into lysosomes for degradation, yet the presence and function of ESCRTs in sorting ubiquitinated AMPA and other receptors at the post-synapse remain unclear. Here we show that the ubiquitin-binding ESCRT-0 protein, Hrs, localizes to both pre- and post-synapses, and levels are modulated by neuronal activity, increasing and decreasing with higher and lower neuronal activity, respectively. Phosphoproteomic profiling of Hrs-depleted post-synaptic membranes revealed a role for Hrs in glutamatergic synaptic transmission, including long-term potentiation. In addition, Hrs-depleted neurons showed faster AMPAR current kinetics and reduced amplitude in whole-cell patch-clamp recordings. Genetic deletion of neuronal Hgs in mice led to reductions in phosphorylated CaMKII- and -{beta} (T286/T287) and structural proteins, PSD-95 and gephyrin, suggestive of LTD (long-term depression)-like synaptic depression. In contrast, Hrs overexpression led to increases in Ca2+-dependent signaling, including protein kinase C (PKC) and PKC substrate, AMPAR subunit GluA1-S831, a site which increases conductance. Together, these findings identify a dynamic, bidirectional role for Hrs at the post-synapse as it both senses and is modulated by neuronal activity, ultimately impacting excitatory synaptic strength. Significance StatementSynaptic plasticity relies on dynamic trafficking and turnover of membrane proteins, including AMPA-type glutamate receptors (AMPARs), yet how receptor trafficking intersects with ubiquitin-mediated sorting pathways at synapses remains unclear. We show that the ubiquitin-binding ESCRT-0 protein, Hrs, localizes to both pre- and post-synapses, and its abundance is bidirectionally regulated by neuronal activity. Genetic depletion of Hrs in mice reduces CaMKII phosphorylation and impacts AMPAR channel surface localization. In contrast, neuronal-specific Hrs overexpression led to enhanced GluA1 and protein kinase C substrate phosphorylation, suggesting altered AMPAR trafficking, subunit composition, and/or function. Thus, Hrs emerges as a modulator of glutamatergic signaling, coupling ubiquitin-mediated receptor sorting to the fine-tuning of synaptic transmission, with direct implications for learning and memory in health and disease.

Hypothalamic A11 dopamine neurons provide the only known source of spinal dopamine and critically modulate pain and motor systems. Yet, the electrophysiological properties of A11 neurons were unknown. Here, we characterized A11 dopamine neurons in mice using brain slice immunohistochemistry, and fluorescence-guided whole-cell patch-clamp and cell-attached electrophysiology. A11 dopamine neurons contained the enzymes necessary to synthesize dopamine, projected to the spinal cord, and were small, morphologically simple, and high resistance. Additionally, they received excitatory glutamatergic and inhibitory GABAergic synaptic input. Most A11 dopamine neurons fired action potentials spontaneously in a rhythmic pacemaker manner at [~]5 Hz, while the remainder were quiescent at rest, but fired readily with somatic current injection. Pacemaking A11 dopamine neurons were differentiated from quiescent neurons by a net inward current at subthreshold potentials. Activation of mu-opioid receptors reduced the net inward current at subthreshold potentials via activation of potassium current but also decreased GABAergic synaptic currents onto A11 dopamine neurons. Using cell-attached recording to preserve the natural chloride gradient, we found mu-opioid receptor agonism reduced spontaneous action potential firing of A11 dopamine neurons. The results lay the necessary framework for future studies investigating synaptic and ion channel mechanisms underlying the excitability in A11 dopamine neurons in physiological and pathological conditions.

The medial prefrontal cortex (mPFC) and its connections with the posterior dorsomedial striatum are implicated in goal-directed learning, but the specific mPFC cell types involved have not been clearly established. The current study investigated mPFC intratelencephalic (IT) and pyramidal tract (PT) neuron involvement in goal-directed learning. In Cre-driver mouse lines, we mapped bilaterally projecting IT neurons and unilaterally projecting PT neurons from mPFC to dorsal striatum and showed that chemogenetic inhibition of IT, but not PT neurons, attenuated goal-directed learning. We then demonstrated training induced elevations in pERK signaling in IT neurons, which were transient in superficial mPFC layers, and more persistent in deeper layers. This was associated with plasticity in deep layer IT neurons, reflected in a shift towards excitatory over inhibitory synaptic inputs. Together, these data suggest that goal-directed learning influences synaptic input and downstream plasticity markers in mPFC IT neurons, and this functionally contributes to goal-directed learning.

Adaptive avoidance depends on a delicate balance: animals must act rapidly when a cue predicts danger, but suppress the same action when the cue no longer has consequence. How MCH neuromodulatory signaling shapes this prefrontal updating process remains poorly understood. Here, we identify melanin-concentrating hormone receptor 1 (MCHR1) signaling as a regulator of active avoidance extinction. Pharmacological MCHR1 antagonism with SNAP-94847 left acquisition of two-way active avoidance intact, but promoted extinction once the tone was no longer followed by shock. This effect was reproduced by prelimbic mPFC-targeted SNAP infusion, indicating that prefrontal MCHR1 signaling contributes to the persistence of learned avoidance. Fiber photometry from CaMKII-positive mPFC neurons revealed that MCHR1 antagonism enhanced excitatory prefrontal activity during successful avoidance and altered trial-history-dependent mPFC activity during extinction, most prominently on avoidance trials that followed previous avoidance. These findings identify MCHR1 signaling as a regulator of adaptive avoidance updating and suggest that MCHR1 antagonism facilitates extinction by altering prefrontal processing of recent action history when a formerly protective response loses behavioral value. Significance StatementIn anxiety- and trauma-related disorders, avoidance can persist long after danger is gone, interfering with daily life. While avoidance is essential for survival, it can become harmful when it is no longer needed. We found that blocking brain receptors for melanin-concentrating hormone helps mice stop responding to outdated warning signals while preserving their ability to learn from danger. We identify the medial prefrontal cortex as a key brain region where this intervention changes activity during fear-guided behavior. This study highlights a potential therapeutic strategy for reducing excessive avoidance without compromising normal protective responses.

Attention is a fundamental mechanism enabling the brain to overcome its limited capacity for parallel processing. In non-human primates, invasive electrophysiology has shown that attentional selection operates rhythmically, primarily within the alpha ([~]8-12 Hz) and theta ([~]4-5 Hz) bands. Whether such finely resolved control signals can be captured non-invasively in humans, and how they adapt to changing task demands, remains unclear. Using high-precision magnetoencephalography (MEG) combined with machine learning, we decoded the spatial locus of covert attention in humans performing three variants of a spatial cueing task that manipulated cue validity as well invalid trial switching rules. Spatial attention could be decoded from whole-brain MEG activity at both static and time-resolved scales, with accuracies significantly above chance (N = 30). Decoding performance decreased as cue validity was reduced, indicating that task structure shapes attentional engagement. Analysis of decoding trajectories revealed rhythmic fluctuations at [~]8-12 Hz across all tasks, demonstrating alpha-band sampling of attention. Pre-target attention became increasingly focused on the cued side, especially in the 100% Valid condition, consistent with proactive orienting. Furthermore, individual and task-specific differences in decoding strength correlated with task-variations in behavioral performance, linking the accuracy of neural attention codes to both discrimination accuracy and reaction time. These findings demonstrate that MEG can non-invasively capture dynamic, task-dependent fluctuations in spatial attention that parallel those observed in non-human primates. They reveal that attentional demands reshape the neural code for attention, modulate rhythmic sampling, and influence behavioral efficiency. This work bridges invasive primate and non-invasive human research and establishes MEG-based decoding of attention as a promising tool for mechanistic and clinical applications, including neurofeedback and attention-related interventions.

Visual areas V2 and V4 are critical for the perception of visual forms in primates. Neurons in area V4 of macaque monkeys are often sensitive to the curvature of specific boundary segments within shapes, but it is unknown how curvature tuning is represented in the developing brain. To address this, we recorded multiunit neural activity from areas V2 and V4 of two macaque monkeys, at both 30 and 58 weeks of age, in response to shape stimuli which primarily varied in curvature along a single segment. Observable curvature tuning was adult-like from 30 weeks of age in both V2 and V4. We compared the tuning of sites to shapes presented at multiple positions. We saw evidence of position-invariant tuning in V4, but not in V2. Position invariance in V4 was stable from 30 weeks of age. Finally, we fit two models - a stimulus-centric model of boundary curvature tuning, and a simple linear model based on the spike-triggered average response to all stimuli. We found many sites in both V2 and V4 whose responses could be captured by one or both models, but no evidence of age-related changes in curvature tuning within the space of either model. Our results suggest that the neural representation of curvature in both areas reaches maturity soon after birth, and that object-centric representations of curvature first emerge in V4, not V2.

Listeners discretize the speech signal by assigning sounds to phonetic categories, though there is variability in how individuals accomplish categorization. Having more consistent categorization of sounds may be advantageous for understanding speech-in-noise (SIN). Though, it is unclear how different levels of neural processing in the auditory system reflect these perceptual differences. We recorded brainstem frequency-following responses (FFRs) and cortical event-related potentials (ERPs) while listeners actively labeled vowels along an acoustic-phonetic continuum using a visual analog scale. We computed intertrial consistency of neural responses to index the stability of listeners' neural speech representations across stimulus presentations. We also assessed how faithfully midbrain and cortical responses represented stimulus acoustics using representational dissimilarity matrices (RDMs) computed across all token pairs. Neural RDMs were then compared with acoustic and phonetic category RDMs to assess whether FFRs and ERPs carried gradient vs. categorical information of the speech signal. We found greater behavioral consistency during phoneme labeling was correlated with improved SIN scores. Neurally, we found greater cortical or subcortical consistency predicted greater behavioral consistency. RDMs revealed subcortical responses retained more acoustic details, while cortical responses more closely reflected abstract phoneme categories. Our findings reveal important benefits of perceptual consistency to other domains of speech perception. We find perceptual consistency is driven by more consistent encoding of speech at either a cortical or subcortical level. More consistent sensory processing could provide a more stable readout of the speech signal to higher cortical brain areas which could confer advantages to later perceptual processes downstream.

Object representations in the human ventral occipitotemporal cortex (VOTC) are organized along multiple dimensions, including shape (rectilinear vs. curvilinear), real-world size (large vs. small), and mobility (stationary vs. mobile). However, these dimensions are strongly correlated in naturalistic vision, making their separate contributions to VOTC organization unclear. For example, large objects (e.g., a wardrobe, a house) are typically rectilinear and stationary, while small objects (e.g., a ball, a cup) are more curvilinear and mobile. Here, we used fMRI, together with a new stimulus set that orthogonally manipulates shape, size, and mobility, to investigate the separate influences of these dimensions on VOTC organization. Example stimuli include air balloon (large, curvilinear, mobile), radar dish (large, curvilinear, stationary), and mailbox (small, rectilinear, stationary). Contrasts revealed that large (vs. small), rectilinear (vs. curvilinear), and stationary (vs. mobile) dimensions all independently evoked strong and overlapping activity in medio-anterior VOTC. This overlapping activity was at the intersection of the parahippocampal place area (PPA) and the ventral place-memory area (VPMA). Similar results were found at the intersection of the scene-selective occipital place area and the lateral place-memory area (LPMA). Finally, large (vs. small), but not rectilinear (vs. curvilinear) or stationary (vs. mobile) activity, was found in additional posterior ventral scene-selective regions, as well as in early visual cortex. Overall, these results indicate that object shape, real-world size, and mobility dimensions all independently activate scene-selective PPA and OPA, showing joint selectivity for distinct low- and high-level object properties that are highly correlated in naturalistic vision.

Mitochondrial calcium uniporter (MCU) uptakes calcium into mitochondria to maintain intracellular calcium homeostasis, malfunction of which has been implicated in altered neuronal signaling and disease. Its role in synaptic transmission remains understudied, especially in intact neural circuits. We investigated MCU function at the auditory nerve endbulb of Held synapse and postsynaptic bushy neurons in the cochlear nucleus, using age-matched control and MCU knockout (KO) mice of either sex. Whole-cell voltage- and current-clamp recordings were acquired from acute brain slices to examine synaptic transmission and postsynaptic responses. We found that basal synaptic properties at the endbulb of Held were unchanged in MCU KO mice, whereas synaptic transmission during sustained high-rate activity was significantly altered with a shift toward increased asynchronous release. Similarly, MCU deficiency did not change the intrinsic membrane properties of postsynaptic bushy neurons, but significantly reduced the temporal precision of auditory nerve evoked spikes trains at high rates. These results demonstrate that MCU is largely dispensable under low-rate activity, presumably because its activation requires relatively high calcium concentrations. In contrast, during sustained high-rate activity, MCU becomes an important regulator of synaptic function by reducing asynchronous neurotransmitter release under elevated intracellular calcium. Particularly in the auditory system, where neurons routinely fire at high rates, MCU promotes temporal processing and thereby plays a key role in supporting auditory function. It suggests that impaired MCU function under pathological conditions may be an important mechanism underlying central auditory processing deficits, and consequently contributes to hearing loss

Theta oscillations are thought to provide a temporal scaffold for short-term memory (STM), organizing item encoding and maintenance into successive phases to reduce representational conflict. Whether this rhythm also determines encoding fidelity, that is, how precisely items are encoded in human cortical activity, remains unclear. Here, we show that STM encoding fidelity fluctuates rhythmically at theta frequency. EEG was recorded while participants encoded arrays of colored, oriented objects under two memory loads and, after a delay, reported the features of a retrospectively cued item on a continuous scale. Using time-resolved multivariate pattern analysis, we predicted subsequent recall error from encoding- and maintenance-period activity. Fronto-parietal theta- and beta-band activity predicted subsequent memory error. This prediction was not sustained but fluctuated at theta frequency and was not modulated by memory load. Cross-temporal generalization indicated that the same neural pattern recurred across encoding and maintenance, underlying the rhythmic fluctuations in memory-error prediction. Prediction fluctuations were temporally offset across spatial positions and object features. These findings characterize STM encoding as a rhythmic, recurrent process and link behavioral theta fluctuations to a distributed neural mechanism.

The locus coeruleus noradrenaline (LC-NA) system is a key regulator of arousal, attention, and reward learning. Noradrenaline plays a critical role in impulse control, and recent evidence indicates the importance of noradrenaline signaling in cost-benefit decision making once choice strategies are established. However, whether the LC causally shapes the acquisition of decision strategies, and how this contribution may differ across sexes, remains unclear. We addressed these questions by chemogenetically inhibiting catecholaminergic neurons within the LC of adult tyrosine-hydroxylase Cre (TH::Cre) rats (n=69; 35 females) throughout acquisition of the cued rat gambling task (crGT), a probabilistic decision making paradigm that incorporates salient audiovisual reward-paired cues and simultaneously measures motor impulsivity. LC inhibition accelerated the development of risky choice strategies early in training in both males and females, reflected by impaired adoption of the most advantageous option and increased preference for risky options. Trial-by-trial analyses reveal that LC inhibition promoted switches in choice strategy following safe wins, while reducing switches away from risky options after both wins and losses. LC inhibition therefore seemed to encourage the repetition of actions that resulted in more uncertain outcomes. LC inhibition also selectively enhanced motor impulsivity in females, particularly early in training. These results provide causal evidence that the LC system guides the formation of optimal decisional strategies, while exerting sex-specific control over impulsive action.

The early-onset, high-frequency hearing loss phenotype of CD-1 mice is rescued by the A88V mutation of the connexin 30 gap-junctional protein, despite a reduced endocochlear potential (EP), which drives cochlear hair cell receptor potentials. The mutation enables organ of Corti (OoC) extracellular receptor potentials to be similar in size to those of sensitive-hearing CBA/J mice, presumably through increased OoC resistance, despite smaller intracellular outer hair cell (OHC) receptor potentials. Low-frequency hearing in CD-1Cx30A88V/A88V mice is impaired, compared with those of CBA/J and wild-type CD-1 mice. To investigate the cellular basis of OoC resistance increase and EP decrease, we made in situ electrophysiological measurements from Deiters cells (DCs) in the OoC of homozygous CD-1Cx30A88V/A88V mice. DCs contribute to the OHC cytoskeletal scaffold and cochlear K+ recycling, and are interconnected by syncytial junctions comprising connexins 30 and 26. Measurements from CD-1Cx30A88V/A88V mice were compared with those from wild-type CD-1 mice, with sensitive hearing below 12 kHz, and from the CBA/J strain. Syncytial junctional-coupling between DCs of CD-1Cx30A88V/A88V mice was weaker, input resistance greater, potassium current expression was modified, and voltage-sensitive activation was shifted to more negative values compared to those of CD-1 and CBA/J mice. Inactivating potassium currents dominate in DCs of CBA/J and CD-1Cx30A88V/A88V mice with excellent high-frequency hearing, and sustained currents dominate in DCs of CD-1 mice with early-onset hearing loss. These findings are discussed in relation to maintenance of OoC electrochemistry, rescue of early-onset hearing loss, impaired low-frequency hearing in CD-1Cx30A88V/A88V mice, and the basis of high-frequency hearing.

Successful speech perception requires listeners to bin continuous acoustic information into discrete phonetic categories. However, some people maintain within-category acoustic information (gradient) while others discard category-irrelevant information (discrete) during perception. Listeners also vary in how consistently they label speech sounds and more gradient/consistent labeling has been linked with better speech-in-noise (SIN) perception. Here, we test how neuroanatomical properties of the brain's major speech-language and auditory pathways relate to individual differences in speech categorization and SIN processing. We measured phonetic categorization and SIN comprehension via phoneme labeling and QuickSIN tasks. Diffusion-weighted imaging (DWI) with probabilistic tractography estimated axonal density within the bilateral arcuate fasciculi and brainstem-cortical auditory projections. Anatomical morphology (surface area, gray matter volume, thickness) was also quantified in the adjacent frontotemporal cortical areas and midbrain. Behaviorally, we found more consistent categorizers had better performance on the QuickSIN. DWI showed that more gradient listeners had greater white matter density in the left arcuate fasciculus and brainstem-cortical auditory pathways, while better SIN performance was predicted by denser white matter in the brainstem-cortical auditory pathways. Morphometric results revealed more consistent listening was associated with greater cortical thickness in right superior temporal gyrus and more gradient listening was associated with greater surface area in right pars opercularis. We infer that individual differences in phonetic categorization relate to SIN comprehension and are at least partially explained by neuroanatomical properties of the auditory-linguistic brain.

The ability to seek reward and avoid punishment is a fundamental survival instinct. In natural environments, however, the statistics of rewards and punishments can change independently of one another. In addition, individuals experiencing anxiety and depression may be selectively biased to process rewards and punishments differently. Here, we examine how humans adapt their behavior in such dynamic environments, using a task where cues are associated with independently changing probabilities of rewards (wins) and punishments (losses). We demonstrate that participants dynamically adjust their learning rates based on the relative volatility of each valence. Neuroimaging reveals that this behavioral flexibility is supported by valence-specific segregation of volatility signals within distinct subregions of the anterior cingulate cortex (ACC: perigenual and dorsal). Furthermore, individuals with higher levels of anxiety and depression exhibit a relative reduction in loss-volatility learning adaptation, accompanied by less distinct neural encoding of win and loss volatility in both ACC subregions. Together, our findings indicate that flexible adaptation to separate reward and punishment contingencies relies on distinct, valence-specific tracking of volatility within the prefrontal cortex. These findings suggest a potential computational and neuroanatomical framework for understanding maladaptive learning in affective disorders.

The bed nucleus of the anterior commissure (BAC) is a small pituitary adenylate cyclase-activating polypeptide (PACAP)-rich glutamatergic cell population located at the intersection of the anterior commissure, stria terminalis, stria medullaris, and fornix. Here, we provide functional neuroanatomical characterization of the BAC using PACAP-Cre mice and Cre-dependent viral tracing. BAC axons traverse these major forebrain conduits to engage distributed limbic and diencephalic networks, with dense innervation of the posterior basolateral amygdala (pBLA) and anterior dorsal thalamic nucleus (AD), both implicated in emotional processing and spatial orientation. To determine the functional significance of the BAC, we developed a novel looming-threat memory test (LTMT) paradigm in which mice learned the location of a shelter within a dual-maze labyrinth before exposure to an overhead looming stimulus. Chemogenetic inhibition of BAC PACAP neurons impaired shelter-directed escape, increased freezing behavior, prolonged escape trajectories, and disrupted efficient safety-seeking responses. Selective deletion of PACAP from BAC neurons also blocked key aspects of the looming-induced behavioral phenotype. Fos mapping revealed robust neuronal activation by the looming stimulus, within the AD, pBLA, and dorsal periaqueductal gray (dPAG). BAC silencing blocked Fos induction. PACAPBAC depletion blocked fos induction in AD, but not in pBLA or dPAG. Preliminary ex-vivo recordings further indicated that PACAP modulates the intrinsic excitability of AD (and pBLA) neurons. Together, these findings identify the BAC as a previously unrecognized PACAPergic forebrain hub that links emotional and spatial-orientation networks to coordinate looming-threat learning, memory, and adaptive defensive behavior.