ArticleiScience2020
A Unique Brain Connectome Fingerprint Predates and Predicts Response to Antidepressants.
Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
14 citing papers in PubMed.
- A robust and reproducible connectome fingerprint of ketamine is highly associated with the connectomic signature of antidepressants.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021Trial
- Article
- Efficacy of functional connectome fingerprinting using tangent-space brain networks.Network neuroscience (Cambridge, Mass.) · 2025Article
- Breakthroughs and challenges for generating brain network-based biomarkers of treatment response in depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Challenges and rewards of in vivo synaptic density imaging, and its application to the study of depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Findings of PTSD-specific deficits in default mode network strength following a mild experimental stressor.NPP - digital psychiatry and neuroscience · 2024Article
- Sex matters: acute functional connectivity changes as markers of remission in late-life depression differ by sex.Molecular psychiatry · 2023Article
- Imaging synaptic density in depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023Review
- Computational approaches to treatment response prediction in major depression using brain activity and behavioral data: A systematic review.Network neuroscience (Cambridge, Mass.) · 2022Article
- Intrinsic Connectivity Networks of Glutamate-Mediated Antidepressant Response: A Neuroimaging Review.Frontiers in psychiatry · 2022Review
- Effects of Serial Ketamine Infusions on Corticolimbic Functional Connectivity in Major Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2021Article
- Ketamine and rapid acting antidepressants: Are we ready to cure, rather than treat depression?Behavioural brain research · 2020Review
- Brain Networks Associated With COVID-19 Risk: Data From 3662 Participants.Chronic stress (Thousand Oaks, Calif.)Article
- Pretreatment Brain Connectome Fingerprint Predicts Treatment Response in Major Depressive Disorder.Chronic stress (Thousand Oaks, Calif.)Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
More than six decades have passed since the discovery of monoaminergic antidepressants. Yet, it remains a mystery why these drugs take weeks to months to achieve therapeutic effects, although their monoaminergic actions are present rapidly after treatment. In an attempt to solve this mystery, rather than studying the acute neurochemical effects of antidepressants, here we propose focusing on the early changes in the brain functional connectome using traditional statistics and machine learning approaches. Capitalizing on three independent datasets (n = 1,261) and recent developments in data and network science, we identified a specific connectome fingerprint that predates and predicts response to monoaminergic antidepressants. The discovered fingerprint appears to generalize to antidepressants with differing mechanism of action. We also established a consensus whole-brain hierarchical connectivity architecture and provided a set of model-based features engineering approaches suitable for identifying connectomic signatures of brain function in health and disease.
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What OpenQuestion holds
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.