Evidence map›Paper›PMID 42146702›Full record

ArticlebioRxiv : the preprint server for biology2026

A widespread internal brain state for fentanyl withdrawal.

Karim Abdelaal, Kathryn K Walder-Christensen, Cameron Blount, Kellie Williford, Marisella Adams-Grimaldi, Stephen D Mague, David E Carlson, Kafui Dzirasa

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Karim AbdelaalDept. of Neurobiology, Duke University Medical Center, Durham, North Carolina 27710, USA.
Kathryn K Walder-ChristensenDept. of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, North Carolina 27710, USA.
Cameron BlountDept. of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, North Carolina 27710, USA.
Kellie WillifordDept. of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, North Carolina 27710, USA.
Marisella Adams-GrimaldiDept. of Psychology & Neuroscience, Duke University, Durham, North Carolina 27710, USA.
Stephen D MagueDept. of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, North Carolina 27710, USA.
David E CarlsonDept. of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, North Carolina 27710, USA.ORCID 0000-0003-1005-6385
Kafui DzirasaDept. of Neurobiology, Duke University Medical Center, Durham, North Carolina 27710, USA.ORCID 0000-0003-4280-9994

Funding

Precision editing of neural circuits using engineered electrical synapsesDP1MH132709 · NIMH · DUKE UNIVERSITY · PI Kafui Dzirasa · 2022 to 2026
$5.7M
Dissecting and modifying temporal dynamics underlying major depressive disorderR01MH120158 · NIMH · DUKE UNIVERSITY · PI DZIRASA, KAFUI · 2019 to 2023
$3.4M
Enabling Stress Resistance-Diversity SupplementR01MH099192 · NIMH · DUKE UNIVERSITY · PI DZIRASA, KAFUI · 2013 to 2018
$2.7M
Brain Networks for AddictionF99NS135695 · NINDS · DUKE UNIVERSITY · PI ABDELAAL, KARIM · 2024 to 2024
$43k
NIMH NIH HHS DP1 MH132709NIMH NIH HHS R01 MH099192NIMH NIH HHS R01 MH120158NINDS NIH HHS F99 NS135695
6 · The paper itself

Abstract

Opioid addiction is characterized by escalating drug use, driven in part by negative reinforcement from withdrawal, but the neural processes linking withdrawal to increased drug-taking remain poorly understood. Here, we use multisite local field potential recordings and interpretable machine learning to identify large-scale brain networks engaged by repeated opioid exposure and withdrawal. After discovering that repeated fentanyl exposure induces a progressively ramping network of widespread high beta and low gamma oscillations, we then identified a distinct brain network that selectively encodes the emergence and severity of opioid withdrawal. This network, termed

Identifiers

PMID42146702
PMCPMC13174310

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.