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Enhanced cognitive control following neurofeedback therapy in chronic treatment-resistant PTSD among refugees: a
Mirjana Askovic1,2,3, Sejla Murdoch1,2, René Mayer-Pelinski4,5
1Neurofeedback Services, New South Wales Service for the Treatment and Rehabilitation of Torture and Trauma Survivors (STARTTS), Sydney, NSW, Australia.
Background:
Post-traumatic stress disorder (PTSD) is a debilitating condition affecting 3.9% of the global population, with refugee populations experiencing particularly high prevalence rates (23-42%). Cognitive control deficits are a core feature of PTSD and a significant factor in treatment resistance, which affects 25-60% of cases.
Methods:
This study examined the effects of neurofeedback therapy (NFT) on PTSD symptoms and cognitive control in forty-seven refugees with chronic treatment-resistant PTSD. Pre- and post-treatment assessments included the Harvard Trauma Questionnaire (HTQ), event-related potential (ERP) and behavioural parameters recorded during a cued Go/No-Go task. Over a median of twenty-six sessions across 7 months, clients received individualised NFT integrated with trauma counselling. Post-treatment, clients were categorised into Responders and Non-Responders, with responders defined as those achieving a clinically significant reduction in PTSD symptoms (≥0.5-point decrease on the HTQ).
Results:
Responders (n=22) demonstrated normalised P3d amplitude, indicative of improved cognitive control. In contrast, non-responders (n=25) exhibited minimal changes in ERP measures. Non-responders showed greater abnormalities in the Slow Positive Wave (SPW) at baseline suggesting more compromised late-stage cognitive processing.
Discussion:
These findings suggest that NFT can alleviate PTSD symptoms in refugees with chronic treatment-resistant PTSD. Treatment response was associated with a normalisation of the P3d waveform suggestive of enhanced cognitive control. The baseline SPW predicted treatment response. Further research should incorporate randomised controlled trials and larger, multi-centre samples to enhance robustness and generalisability.
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