Search bioRxiv⌕ Search

bioRxiv · 10.1101/2025.11.19.689311

Longitudinal Exploration of Auditory Sensory-Perceptual Processing in CLN3 Disease (Juvenile Neuronal Ceroid Lipofuscinosis (Batten disease)): A High-Density Auditory Evoked Potential (AEP) Study.

Abstract

BackgroundThere is currently limited information about sensory and perceptual abilities across the progression of CLN3 disease (Juvenile Neuronal Ceroid Lipofuscinosis; Batten disease), a recessively inherited lysosomal storage disorder and a leading cause of childhood neurodegeneration. Clinical symptoms include vision loss, motor impairments, and cognitive challenges, making it difficult to accurately assess neurocognitive and perceptual abilities. Thus, there is a critical need to identify objective biomarkers that can be used to inform disease progression and track treatment response in this population. MethodsThis exploratory study investigates longitudinal changes in auditory sensory perceptual processing in a small sample of individuals with genetically confirmed CLN3 disease (N=4; 3 male) compared to a cross-sectional sample of 60 neurotypical (NT) controls using high-density electroencephalography (EEG). We utilized a duration mismatch negativity (MMN) paradigm, identical to what has been used in our previous cross-sectional study. We examined the auditory evoked potentials (AEPs) of the standard tones across three different stimulus onset asynchrony conditions and examined the N1 and P2 components of the AEP. ResultsWe found age related differences in the amplitudes of the N1 and P2 components in individuals with CLN3 disease relative to NT controls. These amplitude differences were most notable in CLN3 disease when participants were presented with standard tones that had the slowest presentation rate. Specifically, N1 and P2 amplitudes were more negative than NT controls in childhood and adolescence and as CLN3 disease participants aged, the amplitude of the AEPs was greater than controls. Further, a more positive N1 amplitude during the longest stimulus presentation condition was associated with both reduced verbal intelligence and working memory abilities in CLN3 disease participants. ConclusionsOur preliminary findings parallel recently published work in a mouse model of CLN3 disease that showed both sex- and age-dependent disruptions in central auditory processing. Taken together, we demonstrate the utility of auditory EEG measures as a sensitive, objective and translational measure in CLN3 disease that may serve as a potential outcome measure useful in tracking disease progression. Continued work is needed in humans focused on sex-based differences and longitudinal changes of auditory processing in CLN3 disease.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Bojanek, E. K., Lang, E. R., Adams, H. R., Vermilion, J., Augustine, E. F., Brima, T., Nasimjonova, S., Freedman, E. G., Foxe, J. J.. 2025-11-20. Longitudinal Exploration of Auditory Sensory-Perceptual Processing in CLN3 Disease (Juvenile Neuronal Ceroid Lipofuscinosis (Batten disease)): A High-Density Auditory Evoked Potential (AEP) Study.. https://doi.org/10.1101/2025.11.19.689311

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Same Movements, Different Skills: How Context Shapes Learning in Humans and Neural Networks

What determines whether experiences are integrated into shared representations or split? Motor skill learning offers a revealing test: when two tasks require an identical sequence of movements, both intuition and theory suggest that practice in one should generalize to the other. Yet we find that changing context can make identical movements different skills. In simple recurrent networks trained on the same sequence across contexts, splitting was greatest when strong contextual inputs coincided with a high initial weight scale; neither alone sufficed. Greater representational separation coincided with separate context-specific learning curves. Humans practicing the same finger sequence while alternating between two performance-irrelevant contexts likewise exhibited context-specific curves, rather than the single continuous trajectory observed when practicing in a single context. State-space modeling favored split learning states in humans and very weakly coupled states in the most context-dependent networks. These findings have broader implications for understanding how learning generalizes across contexts.

neuroscience↗

Postpartum resource scarcity reshapes maternal care, offspring prioritization, and the steroid-sensitive medial preoptic area

Parental care requires balancing offspring needs with environmental constraints, yet how resource scarcity alters the organization of maternal responses remains poorly understood. Here, we examined maternal behavior, offspring prioritization, and steroid receptor-associated extracellular matrix organization in postpartum rats exposed to limited bedding and nesting (LBN) or control conditions with ample nesting materials. LBN increased pup-directed and reduced self-directed behaviors but also increased behavioral entropy, a measure of behavioral fragmentation, indicating less predictable caregiving sequences. LBN dams preferentially retrieved male pups first, whereas control dams preferentially retrieved females first. LBN also increased the proportion of pup-investigation time directed toward males compared with controls. In offspring on postnatal day 10, corticosterone was elevated in female but not male LBN pups, a pattern that paralleled the maternal male bias. To identify associated neurobiological changes, we assessed steroid receptors and extracellular matrix organization in the medial preoptic area (mPOA), a key region for maternal behavior. LBN increased numbers of estrogen receptor (ER)- and androgen receptor (AR)-immunoreactive cells, reduced perineuronal net (PNN) abundance, and decreased receptor-positive cell enwrapment. Because PNNs constrain structural plasticity, these findings suggest that the postpartum environment alters the organization of steroid receptor-associated extracellular matrix, potentially modulating experience-dependent plasticity in neurosteroid-sensitive circuits. In sum, LBN increases the levels of maternal engagement while reshaping its temporal organization and allocation, accompanied by selective remodeling of steroid-sensitive preoptic architecture. Therefore, maternal adaptation to adversity may be better understood as changes in caregiving allocation strategies rather than a simple gain or loss of maternal care.

neuroscience↗

The Computational Grammar of Human Behaviour in a Biological Environment

Human behaviour unfolds as an extended stream of spontaneous actions shaped by environmental demands and the agent's goals. The organisation of these actions, situated between setting abstract goals and concrete movement execution, remains poorly characterised. Here, we introduce DynaClade, an unsupervised temporal action segmentation algorithm for human full-body motion capture data, and apply it to freely moving participants navigating ecologically realistic risky foraging environments in virtual reality. DynaClade identifies discrete actions whose kinematic characteristics and spatial distributions correspond to environmental affordances, supporting the validity of the approach. Among these actions, we discovered a hitherto undescribed movement pattern defined by increased body sway without locomotion. Action sequences were highly non-random and showed clear history dependence beyond first-order Markov structure, most of which was explained by a second-order prediction. This higher-order structure was well captured in a hidden Markov model, in which some of the observed actions were associated with more than one latent state. Each of these latent states corresponded to the same action in a distinct action context. These findings suggest that spontaneous human actions are predominantly selected based on the current action and context, rather than following pre-planned or habitually assembled sequences.

neuroscience↗