Biology subjects

Liou, J.-y.

Publications and source records attributed to Liou, J.-y..

6 recordsLinked to original sources

bioRxiv2026

Cellular-resolution Three-photon Ultra-Deep Imaging (TrUDI) of neuronalpopulation activity at 2 mm depth in the mammalian brain

Extending the depth reach of multi-photon microscopy for imaging neuronal population activity in the scattering mammalian brain is an exponentially hard problem. Three-photon (3p) microscopy has enabled imaging of neuroactivity at depths up to ~1.2 mm in the mouse brain. However, the fundamental depth limit of 3p imaging, as set by the depth at which the out-of-focus background fluorescence exceeds the in-focus fluorescence signal, is well beyond 2 mm. Reaching this fundamental depth limit in 3p imaging has been hampered by insufficient in-focus fluorescence signal arising from suboptimal optical design and acquisition conditions. Here, we demonstrate a Three-photon Ultra-Deep Imaging (TrUDI) system that approaches this fundamental depth limit via systematic and principled optimization of the in-focus fluorescence signal. TrUDI optimally matches the parameters of the excitation laser, the optical system, and the acquisition to linear and non-linear limits for safe laser exposure. At the same time, TrUDI remains compatible with the spatial and temporal requirements for single-cell resolution calcium imaging, and its parameters are tuned to the photo-physics of 3p excitation and the scattering properties of the mouse brain tissue. Our approach results in a ~250-fold increase in detected fluorescence photons at the same laser power as in previous approaches. We use TrUDI to demonstrate in vivo cellular-resolution recordings of neuronal population activity within fields of view of ~230 x 230 um2 at 8.6 Hz at tissue depths of up to ~2 mm in mouse cortex and hippocampus.

neuroscience↗

bioRxiv2025

Suppressing cortical glutamatergic neurons produces paradoxical interictal discharges and seizures

IntroductionSeizures are traditionally attributed to excessive excitation or deficient inhibition, yet recent clinical and slice data show they can also paradoxically arise when inhibition outweighs excitation. We chemogenetically suppressed neocortical glutamatergic neurons to test whether such suppression elicits epileptic activity in vivo. MethodsCaMKII-driven Gi-coupled hM4Di or Gq-coupled hM3Dq Designer Receptor Exclusively Activated by Designer Drug (DREADDs) were expressed in cortical glutamatergic neurons of Rasgrf2-jGCaMP8m and wildtype C57BL/6J mice. Widefield calcium imaging and 32-channel transparent electrocorticography were performed before and after systemic clozapine-N-oxide (CNO; 1.25-5 mg kg {superscript 1}). ResultsDREADD activation induced intermittent, large-amplitude, synchronized calcium transients confined to the CaMKII-hM4Di focus, accompanied by focal ECoG spikes that persisted for >3 h and sometimes evolved into seizures. By contrast, CNO activation of excitatory neurons via CaMKII-hM3Dq DREADDs desynchronized activity without epileptiform discharges. The same process duplicated in wild-type animals provoked similar epileptiform discharges. ConclusionSelective suppression of excitation can paradoxically drive cortical networks into hypersynchronous, epileptic states, challenging the simple excess-excitation model of ictogenesis. These findings highlight that seizures may result from relative inhibitory dominance, and that considering this excess inhibition mechanism could inspire new therapeutic approaches.

neuroscience↗

bioRxiv2021

Single Unit Analysis and Wide-Field Imaging Reveal Alterations in Excitatory andInhibitory Neurons in Glioma

Several studies have attributed the development of tumor-associated seizures to an excitatory-inhibitory imbalance, highlighting the importance of resolving the spatiotemporal interplay of different neuronal populations within the peritumoral microenvironment. We combined methods for microelectrode array recordings and single unit analysis during ictal events with wide-field optical mapping of pyramidal neurons in an ex vivo acute slice model of diffusely infiltrating glioma in Thy1-GCaMP6f mice. This approach allowed for characterization of excitatory and inhibitory populations across an extended peritumoral cortical region. As expected, measures of excitability were increased in tumor-bearing slices compared to control. This was accompanied by marked functional alterations in single units classified as fast-spiking interneurons, including reduced firing, altered timing with respect to excitatory firing, and deficits in surround inhibition. Inhibiting mTOR with AZD8055 reversed these glioma-induced changes to excitatory and inhibitory neuronal populations, suggesting a prominent role for functional mechanisms linked to mTOR activation.

cancer biology↗

bioRxiv2020

Dual mechanisms of ictal high frequency oscillations in human rhythmic onset seizures

High frequency oscillations (HFOs) recorded from intracranial electrodes during epileptiform discharges are a proposed biomarker of epileptic brain tissue and may also be useful for seizure forecasting, with mixed results. Despite such potential for HFOs, there is limited investigation into the spatial context of HFOs and their relationship to simultaneously recorded neuronal activity. We sought to further understand the biophysical underpinnings of ictal HFOs using unit recordings in the human neocortex and mesial temporal lobe during rhythmic onset seizures. We compare features of ictal discharges in both the seizure core and penumbra (spatial seizure domains defined by multiunit activity patterns). We report differences in spectral features, unit-local field potential coupling, and information theoretic characteristics of HFOs before and after local seizure invasion. Furthermore, we tie these timing-related differences to spatial domains of seizures, showing that penumbral discharges are widely distributed and less useful for seizure localization.

physiology↗

bioRxiv2019

A theoretical model for focal seizure initiation, propagation, termination, and progression

We developed a neural network model that can account for the major elements common to human focal seizures. These include the tonic-clonic transition, slow advance of clinical semiology and corresponding seizure territory expansion, widespread EEG synchronization, and slowing of the ictal rhythm as the seizure approaches termination. These were reproduced by incorporating usage-dependent exhaustion of inhibition in an adaptive neural network that receives global feedback inhibition in addition to local recurrent projections. Our model proposes mechanisms that may underline common EEG seizure onset patterns and status epilepticus and postulates a role for synaptic plasticity in emergence of epileptic foci. Complex patterns of seizure activity and bi-stable seizure evolution end-points arise when stochastic noise is included. With the rapid advancement of clinical and experimental tools, we believe that this can provide a roadmap and potentially a testbed for future explorations of seizure mechanisms and clinical therapies.

neuroscience↗

bioRxiv2017

Role of inhibitory control in modulating spread of focal ictal activity

Focal seizure propagation is classically thought to be spatially contiguous. However, distribution of seizures through a large-scale epileptic network has been theorized. Here, we used a multielectrode array, wide field calcium imaging, and two-photon calcium imaging to study focal seizure propagation pathways in an acute rodent neocortical 4-aminopyridine model. Although ictal neuronal bursts did not propagate beyond a 2-3 mm region, they were associated with hemisphere-wide field potential fluctuations and parvalbumin-positive interneuron activity outside the seizure focus. While bicuculline surface application enhanced contiguous seizure propagation, focal bicuculline microinjection at sites distant to the 4-aminopyridine focus resulted in epileptic network formation with maximal activity at the two foci. Our study suggests that both classical and epileptic network propagation can arise from localized inhibition defects, and that the network appearance can arise in the context of normal brain structure without requirement for pathological connectivity changes between sites.

neuroscience↗