This 4-year PhD position offers you the chance to work in an innovative interdisciplinary environment, collaborating on groundbreaking research at the frontier of healthcare and robotics. As a PhD fellow, you’ll play a central role in building a predictive, multi-scale model of human skeletal muscle. This model will simulate how motor units within muscles respond to neural signals discharged by spinal neurons and adapt structurally over time when subjected to specific physical strain regimens. Leveraging machine learning and statistical modeling, you’ll integrate data from in vivo and in vitro studies to accurately predict muscle remodelling. The model will be validated against data from both healthy participants and post-stroke patients following a targeted 12-week leg training protocol. Using advanced tools such as high-density electromyography, ultrasound, and robotic dynamometry, you'll bridge biomechanics, neurophysiology and robotics, driving novel insights in muscle modelling and rehabilitation.

Sound waves can be used to modify brain activity safely and transiently with unprecedented precision even deep in the brain - unlike traditional brain stimulation methods. In a series of studies in humans and non-human primates, I will show that Transcranial Ultrasound Stimulation (TUS) can have medium- to long-lasting effects. Multiple read-outs allow us to conclude that TUS can perturb neuronal tissues up to 2h after intervention, including changes in local and distributed brain network configurations, behavioural changes, task-related neuronal changes and chemical changes in the sonicated focal volume. Combined with multiple neuroimaging techniques (resting state functional Magnetic Resonance Imaging [rsfMRI], Spectroscopy [MRS] and task-related fMRI changes), this talk will focus on recent human TUS studies.

WEBINAR 1 Breaking the barrier: Using focused ultrasound for the development of targeted therapies for brain tumours presented by Dr Ekaterina (Caty) Salimova, Monash Biomedical Imaging Glioblastoma multiforme (GBM) - brain cancer - is aggressive and difficult to treat as systemic therapies are hindered by the blood-brain barrier (BBB). Focused ultrasound (FUS) - a non-invasive technique that can induce targeted temporary disruption of the BBB – is a promising tool to improve GBM treatments. In this webinar, Dr Ekaterina Salimova will discuss the MRI-guided FUS modality at MBI and her research to develop novel targeted therapies for brain tumours. Dr Ekaterina (Caty) Salimova is a Research Fellow in the Preclinical Team at Monash Biomedical Imaging. Her research interests include imaging cardiovascular disease and MRI-guided focused ultrasound for investigating new therapeutic targets in neuro-oncology. - WEBINAR 2 Disposition of the Kv1.3 inhibitory peptide HsTX1[R14A], a novel attenuator of neuroinflammation presented by Sanjeevini Babu Reddiar, Monash Institute of Pharmaceutical Sciences The voltage-gated potassium channel (Kv1.3) in microglia regulates membrane potential and pro-inflammatory functions, and non-selective blockade of Kv1.3 has shown anti-inflammatory and disease improvement in animal models of Alzheimer’s and Parkinson’s diseases. Therefore, specific inhibitors of pro-inflammatory microglial processes with CNS bioavailability are urgently needed, as disease-modifying treatments for neurodegenerative disorders are lacking. In this webinar, PhD candidate Ms Sanju Reddiar will discuss the synthesis and biodistribution of a Kv1.3-inhibitory peptide using a [64Cu]Cu-DOTA labelled conjugate. Sanjeevini Babu Reddiar is a PhD student at the Monash Institute of Pharmaceutical Sciences. She is working on a project identifying the factors governing the brain disposition and blood-brain barrier permeability of a Kv1.3-blocking peptide.

While most experimental tasks aim at isolating simple cognitive processes to study their neural bases, naturalistic behaviour is often complex and multidimensional. I will present two studies revealing previously uncharacterised neural circuits for decision-making in macaques. This was possible thanks to innovative experimental tasks eliciting sophisticated behaviour, bridging the human and non-human primate research traditions. Firstly, I will describe a specialised medial frontal circuit for novel choice in macaques. Traditionally, monkeys receive extensive training before neural data can be acquired, while a hallmark of human cognition is the ability to act in novel situations. I will show how this medial frontal circuit can combine the values of multiple attributes for each available novel item on-the-fly to enable efficient novel choices. This integration process is associated with a hexagonal symmetry pattern in the BOLD response, consistent with a grid-like representation of the space of all available options. We prove the causal role played by this circuit by showing that focussed transcranial ultrasound neuromodulation impairs optimal choice based on attribute integration and forces the subjects to default to a simpler heuristic decision strategy. Secondly, I will present an ongoing project addressing the neural mechanisms driving behaviour shifts during an evidence accumulation task that requires subjects to trade speed for accuracy. While perceptual decision-making in general has been thoroughly studied, both cognitively and neurally, the reasons why speed and/or accuracy are adjusted, and the associated neural mechanisms, have received little attention. We describe two orthogonal dimensions in which behaviour can vary (traditional speed-accuracy trade-off and efficiency) and we uncover independent neural circuits concerned with changes in strategy and fluctuations in the engagement level. The former involves the frontopolar cortex, while the latter is associated with the insula and a network of subcortical structures including the habenula.

The dream of a systems neuroscientist is to be able to unravel neural mechanisms that give rise to behavior. It is increasingly appreciated that behavior involves the concerted distributed activity of multiple brain regions so the focus on single or few brain areas might hinder our understanding. There have been quite a few technological advancements in this domain. Functional ultrasound imaging (fUSi) is an emerging technique that allows us to measure neural activity from medial frontal regions down to subcortical structures up to a depth of 20 mm. It is a method for imaging transient changes in cerebral blood volume (CBV), which are proportional to neural activity changes. It has excellent spatial resolution (~100 μm X 100 μm X 400 μm); its temporal resolution can go down to 100 milliseconds. In this talk, I will present its use in two model systems: marmoset monkeys and rats. In marmoset monkeys, we used it to delineate a social – vocal network involved in vocal communication while in rats, we used it to gain insights into brain wide networks involved in evidence accumulation based decision making. fUSi has the potential to provide an unprecedented access to brain wide dynamics in freely moving animals performing complex behavioral tasks.

Granular matter can serve as a prototype for exploring the rich physics of many-body systems driven far from equilibrium. This talk will outline a new direction for granular physics with macroscopic particles, where acoustic levitation compensates the forces due to gravity and eliminates frictional interactions with supporting surfaces in order to focus on particle interactions. Levitating small particles by intense ultrasound fields in air makes it possible to manipulate and control their positions and assemble them into larger aggregates. The small air viscosity implies that the regime of underdamped dynamics can be explored, where inertial effects are important, in contrast to typical colloids in a liquid, where inertia can be neglected. Sound scattered off individual, levitated solid particles gives rise to controllable attractive forces with neighboring particles. I will discuss some of the key concepts underlying acoustic levitation, describe how detuning an acoustic cavity can introduce active fluctuations that control the assembly statistics of small levitated particles clusters, and give examples of how interactions between neighboring levitated objects can be controlled by their shape.

The corpus callosum is the largest fibre tract in the brain of placental mammals and connects the two cerebral hemispheres. Corpus callosum dysgenesis is a developmental brain disorder that is commonly genetic and occurs in approximately 1:4000 live births. It is easily diagnosed by MRI or prenatal ultrasound and is found in isolation or together with other brain anomalies, or with other organ system defects in a large number of different congenital syndromes. Callosal dysgenesis is a structural brain wiring disorder that can impact brain function and cognition in heterogeneous ways. We aim to understand how early developmental mechanisms lead to circuit alterations that ultimately impact behaviour and cognition. Translated to Spanish by MD and Medical interpreter Trinidad Ott. El cuerpo calloso es el tracto de fibras más grande del cerebro de los mamíferos placentarios y conecta los dos hemisferios cerebrales. La disgenesia del cuerpo calloso es un trastorno del desarrollo del cerebro que comunmente es genético y ocurre en aproximadamente 1: 4000 nacidos vivos. Se diagnostica fácilmente mediante resonancia magnética o ecografía prenatal y se encuentra aislado o junto con otras anomalías cerebrales, o con otros defectos del sistema de órganos en un gran número de síndromes congénitos diferentes. La disgenesia callosa es un trastorno estructural del cableado cerebral que puede afectar la función cerebral y la cognición de formas heterogéneas. Nuestro objetivo es comprender cómo los primeros mecanismos del desarrollo conducen a alteraciones en los circuitos que, en última instancia, afectan el comportamiento y la cognición. Traducción al español por la Doctora e Intérprete Médica Trinidad Ott.