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Meg J. Spriggs

Researcher at Imperial College London

Publications -  25
Citations -  366

Meg J. Spriggs is an academic researcher from Imperial College London. The author has contributed to research in topics: Medicine & Mismatch negativity. The author has an hindex of 8, co-authored 20 publications receiving 180 citations. Previous affiliations of Meg J. Spriggs include University of Auckland.

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Positive expectations predict improved mental-health outcomes linked to psychedelic microdosing

TL;DR: For instance, this article found that positive expectancy scores at baseline predicted subsequent improvements in well-being, suggestive of a significant placebo response, and highlighted a role for positive expectancy in predicting positive outcomes following psychedelic microdosing and cautions against zealous inferences on its putative therapeutic value.
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LSD modulates effective connectivity and neural adaptation mechanisms in an auditory oddball paradigm.

TL;DR: Dynamic causal modelling revealed that both the presentation of novel stimuli and LSD modulate backward extrinsic connectivity within a task‐activated fronto‐temporal network, as well as intrinsic connectivity in the primary auditory cortex, suggesting an overall modulation of sensitivity to environmental stimuli.
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Ketamine Enhances Visual Sensory Evoked Potential Long-term Potentiation in Patients With Major Depressive Disorder

TL;DR: Evidence is provided that LTP-based neural plasticity increases within the time frame of the antidepressant effects of ketamine in humans and supports the hypothesis that changes to neural Plasticity may be key to the antidepressant properties of ketamines.
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Influence of Physical Activity on Human Sensory Long-Term Potentiation

TL;DR: This study presents the first evidence for the impact of self-reported levels of physical activity on LTP in humans, and sheds light on potential neurological mechanisms underlying the relationship between physical fitness and cognition.
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Indexing sensory plasticity: Evidence for distinct Predictive Coding and Hebbian Learning mechanisms in the cerebral cortex

TL;DR: The results suggest that both Predictive Coding and Hebbian mechanisms are utilized by the brain under different task demands, which indicates that both tasks provide unique insight into plasticity mechanisms, which has important implications for future studies of aberrant plasticity in clinical populations.