Trial reportHuman brain mapping2019
White matter tract microstructure of the mPFC-amygdala predicts interindividual differences in placebo response related to treatment in migraine patients.
Trial report in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.
- Prediction models for treatment response in migraine: a systematic review and meta-analysis.The journal of headache and pain · 2025Pooled it
- Revealing the Neural Mechanism Underlying the Effects of Acupuncture on Migraine: A Systematic Review.Frontiers in neuroscience · 2021Pooled it
- The participation of basolateral amygdala in the efficacy of acupuncture with deqi treating for functional dyspepsia.Brain imaging and behavior · 2021Trial
- White matter tract microstructure of the mPFC-amygdala predicts interindividual differences in placebo response related to treatment in migraine patients.Human brain mapping · 2019Trial
- Pain-Related White-Matter Changes Following Mild Traumatic Brain Injury: A Longitudinal Diffusion Tensor Imaging Pilot Study.Diagnostics (Basel, Switzerland) · 2025Article
- Predicting Individual Response to Acupuncture in Sensorineural Tinnitus Using Integrated Functional Near-Infrared Spectroscopy and Machine Learning: Protocol for a Model Development and Validation Study.Journal of multidisciplinary healthcare · 2025Article
- Exploring potential neuroimaging biomarkers for the response to non-steroidal anti-inflammatory drugs in episodic migraine.The journal of headache and pain · 2024Article
- Brain connectome-based imaging markers for identifiable signature of migraine with and without aura.Quantitative imaging in medicine and surgery · 2024Article
- Evaluation of a Clustering Approach to Define Distinct Subgroups of Patients With Migraine to Select Electroacupuncture Treatments.Neurology · 2023Article
- Cerebral blood flow alterations in migraine patients with and without aura: An arterial spin labeling study.The journal of headache and pain · 2022Article
- Artificial intelligence-directed acupuncture: a review.Chinese medicine · 2022Review
- Brain Mechanism of Acupuncture Treatment of Chronic Pain: An Individual-Level Positron Emission Tomography Study.Frontiers in neurology · 2022Article
- Efficacy prediction of acupuncture treatment for migraine without aura based on multimodal MRI: A study protocol.Frontiers in neurology · 2022Article
- Research Hotspots and Trends on Acupuncture for Neuropathic Pain: A Bibliometric Analysis from 2002 to 2021.Journal of pain research · 2022Article
- Circulating exosomal microRNA profiles in migraine patients receiving acupuncture treatment: A placebo-controlled clinical trial.Frontiers in molecular neuroscience · 2022Article
- White matter characteristics between amygdala and prefrontal cortex underlie depressive tendency in end stage renal disease patients before the dialysis initiation.Brain imaging and behavior · 2021Article
- Article
- Magnetic resonance imaging for chronic pain: diagnosis, manipulation, and biomarkers.Science China. Life sciences · 2021Review
- The Spontaneous Activity Pattern of the Middle Occipital Gyrus Predicts the Clinical Efficacy of Acupuncture Treatment for Migraine Without Aura.Frontiers in neurology · 2020Article
- Machine Learning in Neuroimaging: A New Approach to Understand Acupuncture for Neuroplasticity.Neural plasticity · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
To investigate whether interindividual variability of white matter (WM) tract microstructure of the medial prefrontal cortex (mPFC)-amygdala circuit could predict 8-week placebo treatment outcomes in patients with migraine without aura (MO) using diffusion tensor imaging (DTI) with a tractography atlas-based analysis algorithm and a linear support vector machine algorithm. This study received institutional review board approval, and all subjects gave informed consent. One hundred and twenty-four MO had an 8-week sham acupuncture treatment. Patients were subdivided into recovering (MOr, >50% improvement in migraine attack frequency after treatment) and persisting (MOp, <50% reduction in number of migraine days). Neuroimaging was collected via magnetic resonance imaging (MRI) in all subjects. Patients were imaged during the interictal phase of migraine (at least 72 hr after, and not within 24 hr of a migraine) before the treatment. WM microstructures were quantified along the selected fiber pathway and were used to evaluate the discrimination performance for classifying MOr and MOp. The combined features of diffusion measures from vertices along the pathways of the mPFC-amygdala accurately discriminated MOr from MOp migraineurs with an accuracy of 84.0% (p < .005, permutation test). The most discriminative WM features that contributed to the classification were located in the external capsule and ACC/mPFC. Our findings suggested that the variability of placebo treatment outcomes in migraineurs could be predicted from priori diffusion measures along the fiber pathways of the mPFC-amygdala, which may demonstrate a potential of WM neuroimaging features as imaging markers for identifying placebo responders in migraine patients.
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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.