Page 155 - SAMRC AnnualReport 2025-26
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P E R FOR M A NC E  I N FOR M A T I ON




            adolescent cohort exposed to cumulative adversity,   African Neuroscience, Neuroethics and Society
            the study seeks to identify multi-level causal     short course, offered in partnership with the Dana
            mechanisms with greater precision.                 Foundation. The blended programme combines
                                                               virtual and in-person teaching, group mentoring,
            The  Unit is  further integrating  multimodal      and community-engaged activities. Co-led by
            physiological and behavioural data to study        Dr Olivia Matshabane and Prof. Soraya Seedat in
            emotional regulation through VR-based paradigms    collaboration with African and international experts,
            and physiological monitoring. This work supports   the course addresses themes including neuroethics
            the development of objective, ecologically valid   and AI, with a strong emphasis on equity, cultural
            measures of stress reactivity, enabling earlier    context, and responsible innovation.
            identification  and  intervention  for  anxiety-related
            disorders. Simultaneously, the Unit’s low-field MRI   AI in Medical and Health Research
            project has completed initial feasibility testing
            and will advance towards developing a custom       The  Unit  builds  capacity  in  AI  and  data-driven
            gradient  amplifier  to  support  scalable,  low-cost   methodologies by leveraging large multimodal
            neuroimaging solutions suitable for low- and       datasets to improve prediction, measurement, and
            middle-income country (LMIC) settings.             mechanistic understanding of BDs. For example,
                                                               machine learning approaches are being used
            The Unit’s Africa Neuroethics Research Group has   to predict PTSD risk through the integration of
            also advanced ethical, inclusive, and Africa-centred   genomic, demographic, trauma-related, and clinical
            governance  of  AI  in  health.  In  addition,  the  Unit  is   data, addressing a significant gap in global research.
            working towards integrating lived-experience data
            into its research frameworks to strengthen the cultural   Additional research includes brain-age modelling,
            relevance, equity, and translational impact of its work.  an AI-based approach that uses brain imaging data
                                                               to estimate biological brain age. This methodology
            Building Capacity Through                          is  being  applied  to  HIV-associated  neurocognitive
            Training, Mentorship, and Support                  disorders in South African women and to investigate
                                                               relationships between brain ageing, cognitive
            The Unit’s capacity development initiatives are    function, and genetic influences.
            designed to strengthen equitable participation in
            health research by developing technical expertise,   The Unit is also integrating its cognitive test battery
            critical thinking, and ethical awareness. These    with multimodal physiological and VR-derived data
            efforts ensure that research training remains      to enable more ecologically valid assessments
            responsive to local contexts while promoting more   of executive function and behaviour. This creates
            inclusive research practices.                      opportunities for AI-driven pattern recognition across
                                                               cognitive, behavioural, and physiological domains.
            A central component of this work is the MSc
            (Neuroscience) degree programme, which trains the   AI is further transforming the conduct of systematic
            next generation of African neuroscientists through a   reviews and evidence synthesis by improving
            cross-disciplinary approach. Many student projects   efficiency,  scalability,  and  methodological  rigour.
            are embedded within the Unit, providing hands-     The Unit has applied machine learning and natural
            on experience in advanced neuroscience research    language processing tools to support literature
            while fostering collaborative learning in a locally   searches, de-duplication, and rapid screening of
            relevant context.                                  titles and abstracts, substantially reducing reviewer
                                                               burden while maintaining high sensitivity. The Unit
            To strengthen technical competencies, the          has already conducted systematic reviews using
            psychiatry molecular laboratories hosted a three-  AI-supported  software  and  is  curating  AI  tools  for
            day laboratory capacity development initiative     a large evidence synthesis project funded by the
            focused on foundational molecular laboratory       Wellcome Trust.
            techniques  for postgraduate trainees from
            Honours to postdoctoral level. The programme       The Unit’s Africa Neuroethics Research Group also
            was conceptualised and led by PhD students within   advances  AI  governance  through  research  and
            the  Unit,  reflecting  a  strong  culture  of  peer-led   stakeholder engagement initiatives, including the
            mentorship and sustainable skills transfer.        Ethical Dilemmas of Neuroscience Workshop in
                                                               Nairobi, which convenes diverse stakeholders to
            The  Unit  has  also  contributed  to  broader     promote  ethical,  inclusive,  and  Africa-relevant  AI-
            continental capacity development through the       driven neurotechnologies.



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