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Kwiatkowska, A.

Publications and source records attributed to Kwiatkowska, A..

2 recordsLinked to original sources

Absence of short-term axon initial segment plasticity in human, mouse, and rat cortical circuits

Maintaining neuronal output with respect to input in the physiological range relies on the ability of neurons to update their responsiveness to inputs dependent on changing activity levels. Termed homeostatic plasticity, the mechanisms that neurons employ to control their responsiveness are varied, and proposed to include structural changes to a key neuronal structure - the axon initial segment (AIS). As the site of action potential initiation, the AIS has been postulated to rapidly change its length in response to increased or decreased cellular and circuit activity. To date, AIS structural plasticity has only been tested in tissue cultures and rodent models. In our current study, we assess the ability of neurons to alter their AIS length over a variety of timescales in ex vivo rodent and human brain slices, human neurons derived from induced pluripotent stem cells, and in mice dark-reared during early life; using a combination of electrophysiology and immunohistochemistry. We find no evidence for changes to AIS length following depolarisation for up to 3 hours, despite positive controls confirming modulated activity. However, we do find that neuronal physiological properties are altered by changes in activity - but these are largely independent of action potential initiation associated with the AIS. In summary, we find no evidence supporting a role for AIS structural plasticity in mouse, rat, or human cortical neurons.

neuroscience↗

Hyperpolarization-Activated Currents Drive Neuronal Activation Sequences in Sleep

Sequential neuronal patterns are believed to support information processing in the cortex, yet their origin is still a matter of debate. We report that neuronal activity in the mouse head-direction cortex (HDC, i.e., the post-subiculum) was sequentially activated along the dorso-ventral axis during sleep at the transition from hyperpolarized "DOWN" to activated "UP" states, while representing a stable direction. Computational modelling suggested that these dynamics could be attributed to a spatial gradient of hyperpolarization-activated current (Ih), which we confirmed in ex vivo slice experiments and corroborated in other cortical structures. These findings open up the possibility that varying amounts of Ih across cortical neurons could result in sequential neuronal patterns, and that travelling activity upstream of the entorhinal-hippocampal circuit organises large-scale neuronal activity supporting learning and memory during sleep. HighlightsO_LINeuronal Activation Sequence in HDC: neuronal activity was sequentially reinstated along the dorsoventral axis of the HDC at UP state but not DOWN state onset. C_LIO_LIRole of Ih in Sequence Generation: Incorporating the hyperpolarization-activated current (Ih) into computational models, we identified its pivotal role in UP/DOWN dynamics and neuronal activity sequences. C_LIO_LIEx Vivo Verification: slice physiology revealed a dorsoventral gradient of Ih in the HDC. C_LIO_LIImplications Beyond HDC: the gradient of Ih could account for the sequential organization of neuronal activity across various cortical areas. C_LI

neuroscience↗