Kernel Flow:a high channel count scalable time-domain functional near-infrared spectroscopy system

Significance: Time-domain functional near-infrared spectroscopy (TD-fNIRS) has been considered as the gold standard of noninvasive optical brain imaging devices. However, due to the high cost, complexity, and large form factor, it has not been as widely adopted as continuous wave NIRS systems. Aim: Kernel Flow is a TD-fNIRS system that has been designed to break through these limitations by maintaining the performance of a research grade TD-fNIRS system while integrating all of the components into a small modular device. Approach: The Kernel Flow modules are built around miniaturized laser drivers, custom integrated circuits, and specialized detectors. The modules can be assembled into a system with dense channel coverage over the entire head. Results: We show performance similar to benchtop systems with our miniaturized device as characterized by standardized tissue and optical phantom protocols for TD-fNIRS and human neuroscience results. Conclusions: The miniaturized design of the Kernel Flow system allows for broader applications of TD-fNIRS.</p

A pre-post evaluation of OpenMinds:A sustainable, peer-led mental health literacy programme in universities and secondary schools

Engaging young people in the design and delivery of mental health education could lead to more effective interventions; however, few of these interventions have been evaluated. This study aimed to gain preliminary evidence with regards to the efficacy and acceptability of OpenMinds: a peer-designed and facilitated mental health literacy programme for university and secondary school students. The programme involves a structured programme of education and training for university medical students, who then deliver workshops in secondary schools. Pre- and post-surveys were completed by 234 school students who received two workshops and 40 university medical students who completed the OpenMinds programme and delivered the workshops. The main outcomes in both groups were components of mental health literacy (non-stigmatising attitudes, knowledge, social distance and helping attitudes). Perceived teaching efficacy and interest in mental health careers (university medical students) and workshop acceptability (school students) were also examined. University and school student participation in OpenMinds was associated with significant improvements in three of four mental health literacy elements in both samples. Knowledge and attitudes improved in both samples, social distance improved only in the university sample and knowledge of helping behaviours increased in the school sample. University students' perceived teaching efficacy improved but there was no change in their reported interest in pursuing psychiatry in their career. Acceptability was high; over 70% of the school students agreed that they enjoyed the workshops and liked being taught by a university student. This study provides preliminary evidence for the acceptability and efficacy of OpenMinds as a sustainable peer-led model of mental health education for young people. The OpenMinds programme is ready for efficacy testing in a randomised trial

Kernel Flow:A high channel count scalable TD-fNIRS system

Time-Domain Near-Infrared Spectroscopy (TD-NIRS) has been considered as the gold standard of non-invasive optical brain imaging devices. However, due to the high cost, complexity, and large form-factor, it has not been as widely adopted as Continuous Wave (CW) NIRS systems. Kernel Flow is a TD-NIRS system that has been designed to break through these limitations by maintaining the performance of a research grade TD-NIRS system while integrating all of the components into a small modular device. The Kernel Flow modules are built around miniaturized laser drivers, custom integrated circuits, and specialized detectors. The modules can be assembled into a system with dense channel coverage over the entire head. We show performance similar to benchtop systems with our miniaturized device.</p