bioRxiv Science⌕ Search
Home/Archive/bioRxiv

bioRxiv · 10.64898/2026.01.27.701979

Progressive bilateral recruitment and resilient network reorganization during temporal lobe epilepsy

Friscourt, F.·Hernot, M.·Padmasola, G. P.·Ferreira, C.·Schaller, K.·Michel, C. M.·Quairiaux, C.
View original source ↗Export metadata ↓

Abstract

BackgroundTemporal lobe epilepsy (TLE) often originates from focal hippocampal injury but progressively evolves into a bilateral epileptic network engaging both hippocampi and distributed cortical regions. A mechanistic understanding of how this network emerges, and whether early perturbation of specific nodes can alter its trajectory, is essential for developing network-level therapeutic strategies. ObjectiveWe used a kainate-induced rodent model of TLE to (1) characterize the spatiotemporal emergence of epileptic discharges during the latent phase, (2) determine how bilaterally synchronized events develop, and (3) test whether transient chemogenetic silencing of either the ipsilateral epileptogenic focus (EF) or the contralateral hippocampus (CH) modifies large-scale epileptogenesis. MethodsFreely moving mice were implanted with multi-site electrodes spanning bilateral hippocampal subfields (dentate gyrus, CA1, subiculum) and cortical regions (M2, Cg1, PrL, V1, entorhinal cortex). Longitudinal LFP recordings were performed every other day during the latent and early chronic phases following KA or saline injection. DREADD-based chemogenetic inhibition of glutamatergic neurons was applied between days 2-7 post-KA. Epileptiform events were quantified via spike rates, waveform metrics, high-frequency oscillations (HFOs), and short-latency interregional co-spiking ResultsEarly after KA, epileptic spiking emerged locally in the ipsilateral dentate gyrus and progressively organized into HFO-coupled discharges. Contralateral hippocampal recruitment followed a distinctive biphasic time course, characterized by transient early activation, subsequent suppression, and later re-emergence with increasing bilateral coactivation. Cortical regions gradually developed higher spike rates and enhanced DG-related co-spiking, indicating large-scale network integration. Ipsilateral silencing modified local spike composition but did not prevent global network progression, whereas contralateral silencing accelerated ipsilateral epileptogenesis and strengthened pathological HFO expression. ConclusionEpileptogenesis in the KA model reflects a transition from a focal hippocampal insult to a resilient, bilateral cortico-hippocampal network. Targeting a single hippocampal node--even at early latent stages--is insufficient to halt this progression, highlighting the need for network-level therapeutic strategies. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=116 SRC="FIGDIR/small/701979v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@171797dorg.highwire.dtl.DTLVardef@df13d3org.highwire.dtl.DTLVardef@18e9594org.highwire.dtl.DTLVardef@1fe68f8_HPS_FORMAT_FIGEXP M_FIG C_FIG

Explore related subjects

neurosciencePreprint

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Friscourt, F., Hernot, M., Padmasola, G. P., Ferreira, C., Schaller, K., Michel, C. M., Quairiaux, C.. 2026-01-29. Progressive bilateral recruitment and resilient network reorganization during temporal lobe epilepsy. https://doi.org/10.64898/2026.01.27.701979

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

KEEP EXPLORING

Related preprints

bioRxiv2026

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↗
bioRxiv2026

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↗
bioRxiv2026

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↗