Daily Neuroscience for 18 April follows 4 stories from r/neuro and r/neuroscience, moving through memory engrams, feature selection, chronic pain, near death dissociation.

1. Memory Engrams

This story is about a memory-consolidation discussion on r/neuro. The original question starts with the classic amnesia case linked to hippocampal removal and asks where memories go once they are no longer dependent on that structure, and what the physical trace of a memory might actually be.

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2. Feature Selection

This story is about a Nature Human Behaviour paper on feature selection in brain-based machine learning. The paper argues that when neuroimaging models keep only a narrow set of top features, they can still predict behaviour reasonably well while pointing researchers toward very different stories about which brain networks matter.

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3. Chronic Pain

This story is about a Scientific American interview on the neuroscience of chronic pain. The piece argues that pain is real but constructed by the brain, and that chronic pain makes the least sense when it is reduced to a single injured body part without considering stress, trauma, sleep, social conditions, and other biopsychosocial factors.

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4. Near Death Dissociation

This story is about a Substack essay reviewing whether dissociation and fantasy proneness explain near-death experiences. The piece summarizes evidence that people who report near-death experiences often score higher on dissociation scales and on measures of fantasy proneness, which is one pillar of the NEPTUNE model that treats these experiences as a defensive altered state.

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That is today’s Daily Neuroscience: distributed memory traces, misleading feature selection, brain-built chronic pain, and the dissociation debate around near-death experiences.