Evidence map›Paper›PMID 42552351›Full record

ReviewNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2026

A non-neuronal fMRI signal: both a confound and an opportunity for insight.

Amy C Janes, Cole Korponay, Tianye Zhai, Blaise B Frederick

Abstract readReview
In one paragraph

Review in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 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

4 authors.

Amy C JanesNeuroimaging Research Branch, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA. amy.janes@nih.gov.
Cole KorponayDepartment of Psychiatry, Harvard University Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-2562-9617
Tianye ZhaiNeuroimaging Research Branch, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA.
Blaise B FrederickDepartment of Psychiatry, Harvard University Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-5832-5279

Funding

U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse (NIDA) DA000641
6 · The paper itself

Abstract

Functional magnetic resonance imaging (fMRI) is widely used to investigate brain function. However, interpretation of the blood oxygen level-dependent (BOLD) signal is complicated by the fact that it reflects both neuronal activity and vascular physiology. This problem is especially relevant in neuropsychopharmacology research because pharmacological and psychiatric effects on brain function are often accompanied by physiological shifts. Here, we discuss recent evidence for an approach to disentangling neuronal and physiological components of the BOLD signal that enhances the interpretability and clinical utility of fMRI. Converging findings suggest that the systemic low-frequency oscillation (sLFO), a major component of the global signal, indexes cardiovascular manifestations of arousal rather than neuronal function. As such, retaining the sLFO in fMRI data can substantially distort functional connectivity estimates, leading to the misinterpretation of physiological fluctuations in arousal as neuronal effects. At the same time, the sLFO itself tracks physiological arousal level, behavioral performance, drug craving, pharmacological modulation, and large-scale brain network organization. Collectively, we suggest that when interpreting fMRI data, sLFO-indexed physiological arousal should both be modeled and considered separately, as extracting this signal from fMRI data provides dual benefits: a cleaner neuronal signal and a complementary index of behaviorally relevant physiology.

Indexed as

BrainBrain MappingMagnetic Resonance ImagingAnimalsHumansNeuronsOxygenOxygen

Identifiers

PMID42552351
PMCPMC13597509

What Socratic holds

Textmetadata
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 Socratic graph.