Evidence map›Paper›PMID 39279909›Full record

ArticleNature. Mental health2024

Discriminative functional connectivity signature of cocaine use disorder links to rTMS treatment response.

Kanhao Zhao, Gregory A Fonzo, Hua Xie, Desmond J Oathes, Corey J Keller, Nancy B Carlisle, Amit Etkin, Eduardo A Garza-Villarreal, Yu Zhang

Abstract read
In one paragraph

Article in Nature. Mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Kanhao ZhaoDepartment of Bioengineering, Lehigh University, Bethlehem, PA, USA.ORCID 0000-0002-2955-0917
Gregory A FonzoCenter for Psychedelic Research and Therapy, Department of Psychiatry and Behavioral Sciences, Dell Medical School, The University of Texas at Austin, Austin, TX, USA.ORCID 0000-0002-0213-1034
Hua XieCenter for Neuroscience Research, Children's National Hospital, Washington DC, USA.ORCID 0000-0003-3462-0147
Desmond J OathesCenter for Neuromodulation in Depression and Stress, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0001-7346-2669
Corey J KellerWu Tsai Neuroscience Institute, Stanford University, Stanford, CA, USA.ORCID 0000-0003-0529-3490
Nancy B CarlisleDepartment of Psychology, Lehigh University, Bethlehem, PA, USA.
Amit EtkinDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.ORCID 0000-0001-8259-3521
Eduardo A Garza-VillarrealInstituto de Neurobiología, Universidad Nacional Autónoma de México campus Juriquilla, Querétaro, Mexico.
Yu ZhangDepartment of Bioengineering, Lehigh University, Bethlehem, PA, USA.ORCID 0000-0003-4087-6544

Funding

A “Circuits-First” Platform for Personalized Neurostimulation TreatmentDP1MH116506 · NIMH · STANFORD UNIVERSITY · PI ETKIN, AMIT · 2017 to 2021
$5.2M
Validating of Machine Learning-Based EEG Treatment Biomarkers in DepressionR44MH123373 · NIMH · ALTO NEUROSCIENCE, INC. · PI ETKIN, AMIT · 2020 to 2022
$3.2M
Establishing Multimodal Brain Biomarkers Using Data-driven Analyticsfor Treatment Selection in DepressionR01MH129694 · NIMH · STANFORD UNIVERSITY · PI Yu Zhang · 2023 to 2026
$2.8M
The effects of trauma-focused psychotherapy on reward circuitry function and information encodingR01MH132784 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI Gregory Fonzo · 2024 to 2026
$2.3M
Computational neuroimaging of reward in post-trauma psychopathologyK23MH114023 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI FONZO, GREGORY · 2018 to 2022
$957k
Assess Neural Circuits and Subtypes Underlying Dimensions of Neuropsychiatric Symptoms in Alzheimer's DiseaseR21AG080425 · NIA · LEHIGH UNIVERSITY · PI ZHANG, YU · 2023 to 2024
$426k
Identifying Transdiagnostic Functional Connectivity Biomarkers for Cognitive Health and PsychopathologyR21MH130956 · NIMH · LEHIGH UNIVERSITY · PI BERDICHEVSKY, YEVGENY · 2023 to 2024
$409k
NIA NIH HHS R21 AG080425NIMH NIH HHS DP1 MH116506NIMH NIH HHS K23 MH114023NIMH NIH HHS R01 MH129694NIMH NIH HHS R01 MH132784NIMH NIH HHS R21 MH130956NIMH NIH HHS R44 MH123373
6 · The paper itself

Abstract

Cocaine use disorder (CUD) is prevalent, and repetitive transcranial magnetic stimulation (rTMS) shows promise in reducing cravings. However, the association between a consistent CUD-specific functional connectivity signature and treatment response remains unclear. Here we identify a validated functional connectivity signature from functional magnetic resonance imaging to discriminate CUD, with successful independent replication. We found increased connectivity within the visual and dorsal attention networks and between the frontoparietal control and ventral attention networks, alongside reduced connectivity between the default mode and limbic networks in patients with CUD. These connections were associated with drug use history and cognitive impairments. Using data from a randomized clinical trial, we also established the prognostic value of these functional connectivities for rTMS treatment outcomes in CUD, especially involving the frontoparietal control and default mode networks. Our findings reveal insights into the neurobiological mechanisms of CUD and link functional connectivity biomarkers with rTMS treatment response, offering potential targets for future therapeutic development.

Identifiers

PMID39279909
PMCPMC11394333

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Registered trials

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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.