bioRxiv Science⌕ Search

Biology subjects

Nuttin, B.

Publications and source records attributed to Nuttin, B..

3 recordsLinked to original sources

Predicting the Regenerative Potential of Retinal Ganglion Cells Based on Developmental Growth Trajectories

Retinal ganglion cells in the mammalian central nervous system fail to regenerate following injury, with the capacity to survive and regrow varying by cell type. This variability may be linked to differences in developmental programs that overlap with the genetic pathways that mediate regeneration. To explore this correlation, we compared the structural changes in mouse retinal ganglion cells during development with those occurring after axonal injury. The dendritic trees of over 1,000 ganglion cells were reconstructed at different developmental stages, revealing that each cell type follows a distinct timeline. ON-sustained (sON) cells reach maturity by P14, whereas ON-transient (tON) cells achieve their maximum dendritic size by P10. Modeling of the dendritic changes indicate that while sON and tON follow similar growth programs the onset of growth was later in sON. After optic nerve crush, the remodeling of dendritic architecture differed between the two cell-types. sON cells exhibited rapid dendritic shrinkage, while tON cells shrank more gradually with changes in branching features. Following injury, sON cells reverted to an earlier developmental state than tON cells. In addition, after co-deletion of PTEN and SOC3, neurons appeared to regress further back in developmental time. Our results provide evidence that a ganglion cells resilience to injury and regenerative potential is predicted by its maturation timeline. Understanding these intrinsic differences could inform targeted neuroprotective interventions.

neuroscience↗

Acute cortical stroke alters neural activity in the subthalamic nucleus, which correlates with motor disability in rats

ObjectivesWe aimed to investigate the impact of acute cortical stroke (ACS) on neural activity in subthalamic nucleus (STN). We then examined the correlation between changes in STN activity and motor disability. MethodsForty-four Sprague-Dawley rats were used. While rats were anesthetized, we inserted electrodes in STN and induced an ACS by creating photothrombotic lesion in ipsilateral motor cortex. Local field potentials were recorded before and after ACS. The motor behavior was assessed before and after ACS using single pellet reaching task. ResultsRats experienced significant motor disability after ACS. STN firing rate significantly decreased after ACS. Additionally, delta (0.5-4 Hz) and gamma (50-140 Hz) power significantly decreased after ACS. Furthermore, the decrease in delta mean power correlated with decreases in success rate (r =0.77, p =0.009) and first try success rate (r =0.69, p =0.028). The decreases in gamma mean power (r =0.68, p =0.029) and gamma peak power (r =0.74, p =0.015) correlated with the decrease in success rate. The decrease in gamma power significantly correlated with the decreased STN firing rate. However, decreased delta power exhibited no correlation with decreased gamma power. InterpretationACS causes abnormal STN activity, which correlated with motor disability. Post-stroke STN inhibition may partially compensate for ACS. However, it could also lead to pathological consequences. This STN abnormal activity may serve as a biomarker for motor disability severity after ACS. Furthermore, our findings may provide a possibility for developing neuromodulation strategies, allowing to mitigate post-stroke motor disability through modulating abnormal STN activity.

neuroscience↗

Functional ultrasound imaging and neuronal activity: how accurate is the spatiotemporal match?

Over the last decade, functional ultrasound (fUS) has risen as a critical tool in functional neuroimaging, leveraging hemodynamic changes to infer neural activity indirectly. Recent studies have established a strong correlation between neural spike rates (SR) and functional ultrasound signals. However, understanding their spatial distribution and variability across different brain areas is required to thoroughly interpret fUS signals. In this regard, we conducted simultaneous fUS imaging and Neuropixels recordings during stimulus-evoked activity in awake mice within three regions the visual pathway. Our findings indicate that the temporal dynamics of fUS and SR signals are linearly correlated, though the correlation coefficients vary among visual regions. Conversely, the spatial correlation between the two signals remains consistent across all regions with a spread of approximately 300 micrometers. Finally, we introduce a model that integrates the spatial and temporal components of the fUS signal, allowing for a more accurate interpretation of fUS images.

neuroscience↗