Murdy, T. J. | Search bioRxiv

bioRxiv2026

Dissociable species-specific impact of Aβ on static and dynamic functional connectomes

Temporal dynamics in functional connectomes offer a physiologically grounded signature of hidden pathologies during preclinical stages of Alzheimers disease (AD). We evaluated the effect of beta-amyloid (A{beta}) on dynamic functional connectomes in transgenic mice and human subjects. Functional magnetic resonance images (fMRI) were collected in two strains of A{beta} mice. fMRI-derived connectomes were segmented into discrete states using a hidden Markov model and network strength, efficiency, and transitivity were analyzed per state. Human fMRI-derived connectome measures were analyzed across 3 states. Static network measures were significantly different between A{beta} mice and controls, the former having high values for strength, efficiency and clustering coefficient in anterior cingulate, hippocampus and retrosplenium. Dynamic network measures were stable within-states in A{beta} mice. Similarly, human subjects with high A{beta} had high node strength in precuneus and temporoparietal areas compared to low A{beta}. In contrast, however, high A{beta} was associated with high state switch rates, high fractional occupancy and state dwell times. Also, global strength, efficiency, and transitivity were less stable within states in the high A{beta} group. Our results indicate that static, but not dynamic, connectome strength, efficiency and network integration are increased in A{beta} mice, while dynamic network states appear less stable in human functional connectomes. This data supports a dissociable, species-specific impact of A{beta}, with dynamic network alterations present in humans but not in A{beta} mouse models, suggesting additional non-A{beta}-driven influences on dynamic functional connectivity in preclinical AD. SIGNIFICANT STATEMENTDetecting Alzheimers disease before symptoms appear remains a critical challenge. This study reveals that beta-amyloid -- a hallmark Alzheimers protein -- disrupts brain network dynamics differently across species. While both transgenic mice and humans with elevated amyloid show stronger static brain connectivity, only humans exhibit unstable, rapidly shifting brain network states. This dissociation suggests that the dynamic network disruptions seen in preclinical Alzheimers patients are not solely driven by amyloid accumulation, but likely reflect additional biological factors absent in mouse models. These findings highlight an important translational gap between animal models and human disease, with implications for how we design and interpret preclinical Alzheimers research and develop early diagnostic biomarkers.

neuroscience↗

bioRxiv2021

Loss of Stk11 in basolateral amygdalar projection neurons impairs CTA learning by altering the temporal pattern of taste response plasticity in GC

Gustatory cortex (GC) responds to tastes on the tongue with dynamic ensemble activity that represents first the presence, then the identity, and finally the hedonic value (palatability) of tastes. This final state of the taste response is uniquely altered by conditioned taste aversion (CTA) - a powerful one-trial learning paradigm in which a taste becomes aversive after association with gastric malaise - a process requiring coordination between GC and basolateral amygdala (BLA). Previously, we found that one key requirement for learning in this circuit is expression of the serine/threonine kinase 11 (Stk11) gene (a tumor suppression gene which has only recently been associated with learning; Levitan et al., 2020). When Stk11 is knocked out in BLA projection neurons (BLApn), CTA learning fails to occur. Here we have examined how learning-related response plasticity in GC taste responses is impacted by the knockout of Stk11 in BLApn. Contrary to the commonly held assumption that a lack of learning means a lack of such plasticity, but consistent with the fact that Stk11KO has been shown to increase the excitability of BLApn, our data reveal that the knockout of Stk11 in BLApn does not eliminate plasticity; rather, it shifts the impact of CTA training on GC taste responses to an earlier, learning-inappropriate epoch. Even naive taste representations are altered--specifically, the pattern of similarities and differences among the different taste responses are rendered abnormal by Stk11 KO, and these relationships fail to change with training. Finally, the latency of behavior-related dynamic ensemble features of the GC taste response, which is also abnormal in naive KO mice, is rendered disorganized by CTA. Together, these results suggest that Stk11 plays a role in governing the coordination of GC activity by BLA, and demonstrate that alterations in the function of BLApn caused by Stk11KO inhibit learning not by inhibiting plasticity but by changing its temporal properties.

neuroscience↗