Faculty Bibliography

Cerebellar dysfunction leads to postural instability. Recent work in freely moving rodents has transformed investigations of cerebellar contributions to posture. However, the combined complexity of terrestrial locomotion and the rodent cerebellum motivate new approaches to perturb cerebellar function in simpler vertebrates. Here, we adapted a validated chemogenetic tool (TRPV1/capsaicin) to describe the role of Purkinje cells - the output neurons of the cerebellar cortex - as larval zebrafish swam freely in depth. We achieved both bidirectional control (activation and ablation) of Purkinje cells while performing quantitative high-throughput assessment of posture and locomotion. Activation modified postural control in the pitch (nose-up/nose-down) axis. Similarly, ablations disrupted pitch-axis posture and fin-body coordination responsible for climbs. Postural disruption was more widespread in older larvae, offering a window into emergent roles for the developing cerebellum in the control of posture. Finally, we found that activity in Purkinje cells could individually and collectively encode tilt direction, a key feature of postural control neurons. Our findings delineate an expected role for the cerebellum in postural control and vestibular sensation in larval zebrafish, establishing the validity of TRPV1/capsaicin-mediated perturbations in a simple, genetically tractable vertebrate. Moreover, by comparing the contributions of Purkinje cell ablations to posture in time, we uncover signatures of emerging cerebellar control of posture across early development. This work takes a major step towards understanding an ancestral role of the cerebellum in regulating postural maturation.

Noise is a fundamental problem for information processing in neural systems. In decision-making, noise is thought to cause stochastic errors in choice. However, little is known about how noise arising from different sources may contribute differently to value coding and choice behaviors. Here, we examine how noise arising early versus late in the decision process differentially impacts context-dependent choice behavior. We find in model simulations that under early noise, contextual information enhances choice accuracy, while under late noise, context degrades choice accuracy. Furthermore, we verify these opposing predictions in experimental human choice behavior. Manipulating early and late noise - by inducing uncertainty in option values and controlling time pressure - produces dissociable positive and negative context effects. These findings reconcile controversial experimental findings in the literature, suggesting a unified mechanism for context-dependent choice. More broadly, these findings highlight how different sources of noise can interact with neural computations to differentially modulate behavior.

BACKGROUND:MRI plays a critical role in prostate cancer (PCa) detection and management. Bi-parametric MRI (bpMRI) offers a faster, contrast-free alternative to multi-parametric MRI (mpMRI). Routine use of mpMRI for all patients may not be necessary, and a tailored imaging approach (bpMRI or mpMRI) based on individual risk might optimize resource utilization. PURPOSE/OBJECTIVE:To develop and evaluate a deep learning (DL) model for classifying clinically significant PCa (csPCa) using bpMRI and to assess its potential for optimizing MRI protocol selection by recommending the additional sequences of mpMRI only when beneficial. STUDY TYPE/METHODS:Retrospective and prospective. POPULATION/METHODS:The DL model was trained and validated on 26,129 prostate MRI studies. A retrospective cohort of 151 patients (mean age 65 ± 8) with ground-truth verification from biopsy, prostatectomy, or long-term follow-up, alongside a prospective cohort of 142 treatment-naïve patients (mean age 65 ± 9) undergoing bpMRI, was evaluated. FIELD STRENGTH/SEQUENCE/UNASSIGNED:3 T, Turbo-spin echo T2-weighted imaging (T2WI) and single shot EPI diffusion-weighted imaging (DWI). ASSESSMENT/RESULTS:The DL model, based on a 3D ResNet-50 architecture, classified csPCa using PI-RADS ≥ 3 and Gleason ≥ 7 as outcome measures. The model was evaluated on a prospective cohort labeled by consensus of three radiologists and a retrospective cohort with ground truth verification based on biopsy or long-term follow-up. Real-time inference was tested on an automated MRI workflow, providing classification results directly at the scanner. STATISTICAL TESTS/METHODS:AUROC with 95% confidence intervals (CI) was used to evaluate model performance. RESULTS:In the prospective cohort, the model achieved an AUC of 0.83 (95% CI: 0.77-0.89) for PI-RADS ≥ 3 classification, with 93% sensitivity and 54% specificity. In the retrospective cohort, the model achieved an AUC of 0.86 (95% CI: 0.80-0.91) for Gleason ≥ 7 classification, with 93% sensitivity and 62% specificity. Real-time implementation demonstrated a processing latency of 14-16 s for protocol recommendations. DATA CONCLUSION/CONCLUSIONS:The proposed DL model identifies csPCa using bpMRI and integrates it into clinical workflows. EVIDENCE LEVEL/METHODS:1. TECHNICAL EFFICACY/UNASSIGNED:Stage 2.

In order to forage for food, many animals regulate not only specific limb movements but the statistics of locomotor behavior, switching between long-range dispersal and local search depending on resource availability. How premotor circuits regulate locomotor statistics is not clear. Here, we analyze and model locomotor statistics and their modulation by attractive food odor in walking Drosophila. Food odor evokes three motor regimes in flies: baseline walking, upwind running during odor, and search behavior following odor loss. During search, we find that flies adopt higher angular velocities and slower ground speeds and turn for longer periods in the same direction. We further find that flies adopt periods of different mean ground speed and that these state changes influence the length of odor-evoked runs. We next developed a simple model of neural locomotor control that suggests that contralateral inhibition plays a key role in regulating the statistical features of locomotion. As the fly connectome predicts decussating inhibitory neurons in the premotor lateral accessory lobe (LAL), we gained genetic access to a subset of these neurons and tested their effects on behavior. We identified one population whose activation induces all three signature of local search and that regulates angular velocity at odor offset. We identified a second population, including a single LAL neuron pair, that bidirectionally regulates ground speed. Together, our work develops a biologically plausible computational architecture that captures the statistical features of fly locomotion across behavioral states and identifies neural substrates of these computations.

Fanconi anemia (FA) is a rare genetic disease characterized by loss-of-function variants in any of the 22 previously identified genes (FANCA-FANCW) that encode proteins participating in the repair of DNA interstrand crosslinks (ICLs). Patient phenotypes are variable, but may include developmental abnormalities, early onset pancytopenia, and predisposition to hematologic and solid tumors. Here, we describe two unrelated families with multiple pregnancy losses and offspring presenting with severe developmental and hematologic abnormalities leading to death in utero or in early life. Homozygous loss-of-function variants in FAAP100 were identified in affected children of both families. The FAAP100 protein associates with FANCB and FANCL, the E3 ubiquitin ligase responsible for the monoubiquitination of FANCD2 and FANCI, which is necessary for FA pathway function. Patient-derived cells exhibited phenotypes consistent with FA. Expression of the wild-type FAAP100 cDNA, but not the patient-derived variants, rescued the observed cellular phenotypes. This establishes FAAP100 deficiency as a cause of Fanconi anemia, with FAAP100 gaining an alias as FANCX. The extensive developmental malformations of individuals with FAAP100 loss-of-function variants are among the most severe across previously described FA phenotypes, indicating that the FA pathway is essential for human development.

BACKGROUND:Children born very preterm (VPT) are at high risk for attention problems. This study's purpose was to describe the Conners Kiddie Continuous Performance Test (K-CPT) assessment in children born VPT, including rates of clinically elevated scores, change over time, and associations between K-CPT scores and parent reported attention problems. METHODS:We studied 305 children from a multi-site study of children born VPT who completed at least one K-CPT assessment at age 5, 6, and/or 7 years. Parent-reported ADHD symptoms and diagnosis were also collected. We calculated K-CPT completion rates, mean scores, and rates of clinically elevated scores at each timepoint. Linear mixed models examined change over time in K-CPT scores. Correlations and generalized linear models investigated associations between K-CPT scores and ADHD symptoms and diagnoses. RESULTS:K-CPT scores showed expected age-related improvements from age 5-7, with significant intra- and inter-individual variability. Up to 1/3 of children had clinically elevated attention problems and another 1/3 had subclinical elevations. K-CPT scores were modestly correlated with parent-rated ADHD symptoms and children with a parent-reported ADHD diagnosis performed worse on nearly all K-CPT metrics. CONCLUSION/CONCLUSIONS:Performance-based measures like the K-CPT can be useful for research and clinical practice in VPT populations. IMPACT/CONCLUSIONS:Attention problems are a specific area of weakness for children born very preterm. Performance-based tests of attention have benefits and drawbacks compared to parent report measures yet are understudied in this population. We examined one performance-based measure (the Conners Kiddie Continuous Performance Test [K-CPT]) in 305 children born very preterm. We observed improving task scores from age 5-7 years with significant intra- and inter-individual variability, a sizable proportion of children with clinically and subclinically elevated scores, and modest associations between K-CPT scores and parent reported attention problems. The K-CPT could be a useful clinical and research tool in this population.

We often exert greater cognitive resources (i.e., listening effort) to understand speech under challenging acoustic conditions. This mechanism can be overwhelmed in those with hearing loss, resulting in cognitive fatigue in adults and potentially impeding language acquisition in children. However, the neural mechanisms that support listening effort are uncertain. Evidence from human studies suggests that the cingulate cortex is engaged under difficult listening conditions and may exert top-down modulation of the auditory cortex (AC). Here, we asked whether the gerbil cingulate cortex (Cg) sends anatomical projections to the AC that facilitate perceptual performance. To model challenging listening conditions, we used a sound discrimination task in which stimulus parameters were presented in either "Easy" or "Hard" blocks (i.e., long or short stimulus duration, respectively). Gerbils achieved statistically identical psychometric performance in Easy and Hard blocks. Anatomical tracing experiments revealed a strong, descending projection from layer 2/3 of the Cg1 subregion of the cingulate cortex to superficial and deep layers of the primary and dorsal AC. To determine whether Cg improves task performance under challenging conditions, we bilaterally infused muscimol to inactivate Cg1 and found that psychometric thresholds were degraded for only Hard blocks. To test whether the Cg-to-AC projection facilitates task performance, we chemogenetically inactivated these inputs and found that performance was only degraded during Hard blocks. Taken together, the results reveal a descending cortical pathway that facilitates perceptual performance during challenging listening conditions.

PURPOSE/UNASSIGNED:Urine calcium excretion is greater after dinner and urine volumes are lower. The result is higher urine calcium concentrations, which may confer greater risk of stone formation, at night. We considered whether night-time administration - as compared with daytime administration - of thiazides would be more effective for stone prevention. MATERIALS AND METHODS/UNASSIGNED:We performed 12-hour urine collections in 7 patients taking 25 mg of chlorthalidone (CTD) and 10 patients taking 25 mg of hydrochlorothiazide (HCTZ). Participants completed urine collections at baseline, again after a week of morning medication administration, and again after a week of evening administration, all on repeated self-selected diets. RESULTS/UNASSIGNED:Chlorthalidone reduced urine calcium excretion for both 12-hour periods whether administered in the morning or in the evening: morning dosing lowered urine calcium from 130±70 mg/gram Cr at baseline, to 76±52 mg/gram Cr (P<0.02); evening dosing lowered it to 87±51 mg/gram Cr, which was not significant. On the other hand, HCTZ did not reduce urine calcium excretion regardless of the time of administration: mean 24-hour urine calcium excretion (UCa) was 124±38 mg/gram Cr at baseline and 106±40 mg/gram Cr when HCTZ was given in AM, and 117±54 mg/gram Cr when given in PM. CONCLUSION/UNASSIGNED:We conclude that the long-acting and more effective CTD is a preferable agent for stone prevention. Time of administration does not appear to be important, although morning administration may more effectively address higher post-dinner calcium excretion. The most commonly used thiazide (HCTZ) is shorter acting, frequently dosed once per day, but does not appear to reduce urine calcium excretion at this dose.