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Targeted Memory Reactivation
Cereneo Foundation is a non-profit research centre with a research focus on developing and implementing technological solutions to improve neurorehabilitation outcomes. We work on digital, objective assessment solutions and their implementation into clinical routine. These are used to evaluate novel interventions applying a broad range of tools (fMRI, EEG, neurophysiology, movement analysis, robotics). The foundation works closely with a neurorehabilitation centre to ensure true multi-stakeholder integration within each research project. To support our ongoing projects, we are looking for an Intern with strong interest in human movement, motor learning, and memory processes. Solid knowledge in data analysis, theoretical knowledge of motor learning and consolidation processes, and an enthusiasm to work with human participants at the forefront of technology is a plus.
Recent studies suggest that every 3rd adult over 60 will require rehabilitation at some point in their life (Cieza et al. 2020). With a rapidly growing elderly population and an increase in the rate of non-communicable diseases, neurorehabilitation has become a field of growing societal importance. It is also a highly innovative field of research from industry approaches such as Onward, and Neuralink, to academic research investigating the mechanisms behind the restoration of movement and cognitive processes. However, there is a stark disconnect between the knowledge generated from research studies and the presentation of typical clinical routine. As such, we are committed to introducing novel theoretical approaches directly into a neurorehabilitation clinic and evaluating their feasibility capacity for implementation, and efficacy.
In recent years, rapid advances have been made in techniques to modulate memory consolidation in sleep via external stimulation. In targeted memory reactivation (TMR), participants learn to associate a particular cue (e.g. an odor or sound) with target information (e.g., word pairs, object locations, or a motor sequence) when awake. Memory for the target information is facilitated when participants are re-exposed to the learned cues during consecutive non-rapid eye movement (NREM) sleep. TMR has been shown to benefit different kinds of learning, including skill learning, suggesting its potential beneficial role in rehabilitation. However, its exact interactions with skill acquisition/motor learning are not yet fully understood. Within the internship, we aim to apply newest TMR approaches in our clinical setting and investigate the feasibility of providing in-patients with TMR systems while investigating efficacy and evaluating TMR designs in a healthy cohort.
As part of the internship, you will be integrated into clinical routine and will have the chance to work with medical professionals on all aspects of neurorehabilitation. Next to this, we expect you to take minor active roles in other projects. Your supervision will introduce you to the inner workings of a neurorehabilitation center and will provide you with the knowledge and tools to understand and evaluate therapeutic approaches in terms of their feasibility and practicality
Recent studies suggest that every 3rd adult over 60 will require rehabilitation at some point in their life (Cieza et al. 2020). With a rapidly growing elderly population and an increase in the rate of non-communicable diseases, neurorehabilitation has become a field of growing societal importance. It is also a highly innovative field of research from industry approaches such as Onward, and Neuralink, to academic research investigating the mechanisms behind the restoration of movement and cognitive processes. However, there is a stark disconnect between the knowledge generated from research studies and the presentation of typical clinical routine. As such, we are committed to introducing novel theoretical approaches directly into a neurorehabilitation clinic and evaluating their feasibility capacity for implementation, and efficacy. In recent years, rapid advances have been made in techniques to modulate memory consolidation in sleep via external stimulation. In targeted memory reactivation (TMR), participants learn to associate a particular cue (e.g. an odor or sound) with target information (e.g., word pairs, object locations, or a motor sequence) when awake. Memory for the target information is facilitated when participants are re-exposed to the learned cues during consecutive non-rapid eye movement (NREM) sleep. TMR has been shown to benefit different kinds of learning, including skill learning, suggesting its potential beneficial role in rehabilitation. However, its exact interactions with skill acquisition/motor learning are not yet fully understood. Within the internship, we aim to apply newest TMR approaches in our clinical setting and investigate the feasibility of providing in-patients with TMR systems while investigating efficacy and evaluating TMR designs in a healthy cohort.
As part of the internship, you will be integrated into clinical routine and will have the chance to work with medical professionals on all aspects of neurorehabilitation. Next to this, we expect you to take minor active roles in other projects. Your supervision will introduce you to the inner workings of a neurorehabilitation center and will provide you with the knowledge and tools to understand and evaluate therapeutic approaches in terms of their feasibility and practicality
Not specified
• Building a theoretical background on TMR & Motor Learning and the involved mechanisms (10%)
• Data collection (40%)
• Data analysis (30%)
• Communication and writing (20%)
• Building a theoretical background on TMR & Motor Learning and the involved mechanisms (10%) • Data collection (40%) • Data analysis (30%) • Communication and writing (20%)
• Background in Biomedical Engineering, Human Movement, Neuroscience, or a similar field
• Basic Coding skills (Python and Matlab)
• Experience in Motion Capture (not mandatory but the more you know the better)
• Data analysis
• Reliability and structured working
• Enthusiastic, friendly, and communicative approach to work
• Background in Biomedical Engineering, Human Movement, Neuroscience, or a similar field • Basic Coding skills (Python and Matlab) • Experience in Motion Capture (not mandatory but the more you know the better) • Data analysis • Reliability and structured working • Enthusiastic, friendly, and communicative approach to work