ArticleBehaviour research and therapy2014
First steps in using machine learning on fMRI data to predict intrusive memories of traumatic film footage.
Article in Behaviour research and therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Intrusive memories of trauma: A target for research bridging cognitive science and its clinical application.Clinical psychology review · 2019Pooled it
- A machine learning approach towards the differentiation between interoceptive and exteroceptive attention.The European journal of neuroscience · 2023Trial
- Reducing intrusive traumatic memories after emergency caesarean section: A proof-of-principle randomized controlled study.Behaviour research and therapy · 2017Trial
- Fear Conditioning With Film Clip and Electric Shock Unconditioned Stimuli: What Drives Conditioned Electrodermal Responses?Psychophysiology · 2025Article
- The rise of artificial intelligence for cognitive behavioral therapy: A bibliometric overview.Applied psychology. Health and well-being · 2025Review
- Workplace Trauma in a Digital Age: The Impact of Video Evidence of Violent Crime on Criminal Justice Professionals.Journal of interpersonal violence · 2023Article
- Neuromodulation of Visual Cortex Reduces the Intensity of Intrusive Memories.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- A Systematic Approach to Neuropsychiatric Intervention: Functional Neuroanatomy Underlying Symptom Domains as Targets for Treatment.Focus (American Psychiatric Publishing) · 2022Review
- Experimental trauma rapidly modifies functional connectivity.Brain imaging and behavior · 2021Article
- Density-based clustering of static and dynamic functional MRI connectivity features obtained from subjects with cognitive impairment.Brain informatics · 2020Article
- Multi-voxel pattern analysis of amygdala functional connectivity at rest predicts variability in posttraumatic stress severity.Brain and behavior · 2020Article
- Multiple memory systems, multiple time points: how science can inform treatment to control the expression of unwanted emotional memories.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018Article
- e-PTSD: an overview on how new technologies can improve prediction and assessment of Posttraumatic Stress Disorder (PTSD).European journal of psychotraumatology · 2018Review
- Neural responses to emotional involuntary memories in posttraumatic stress disorder: Differences in timing and activity.NeuroImage. Clinical · 2018Article
- Are there Special Mechanisms of Involuntary Memory?Review of philosophy and psychology · 2017Article
- Intrusive memories to traumatic footage: the neural basis of their encoding and involuntary recall.Psychological medicine · 2016Article
- Mental Imagery: Functional Mechanisms and Clinical Applications.Trends in cognitive sciences · 2015Review
- Mental Imagery and Post-Traumatic Stress Disorder: A Neuroimaging and Experimental Psychopathology Approach to Intrusive Memories of Trauma.Frontiers in psychiatry · 2015Review
Corrections and comments
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Authors and funding
9 authors.
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Abstract
After psychological trauma, why do some only some parts of the traumatic event return as intrusive memories while others do not? Intrusive memories are key to cognitive behavioural treatment for post-traumatic stress disorder, and an aetiological understanding is warranted. We present here analyses using multivariate pattern analysis (MVPA) and a machine learning classifier to investigate whether peri-traumatic brain activation was able to predict later intrusive memories (i.e. before they had happened). To provide a methodological basis for understanding the context of the current results, we first show how functional magnetic resonance imaging (fMRI) during an experimental analogue of trauma (a trauma film) via a prospective event-related design was able to capture an individual's later intrusive memories. Results showed widespread increases in brain activation at encoding when viewing a scene in the scanner that would later return as an intrusive memory in the real world. These fMRI results were replicated in a second study. While traditional mass univariate regression analysis highlighted an association between brain processing and symptomatology, this is not the same as prediction. Using MVPA and a machine learning classifier, it was possible to predict later intrusive memories across participants with 68% accuracy, and within a participant with 97% accuracy; i.e. the classifier could identify out of multiple scenes those that would later return as an intrusive memory. We also report here brain networks key in intrusive memory prediction. MVPA opens the possibility of decoding brain activity to reconstruct idiosyncratic cognitive events with relevance to understanding and predicting mental health symptoms.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.