Evidence map›Paper›PMID 41530553›Full record

Trial reportNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2026

From rest to focus: pharmacological modulation of the relationship between resting state dorsal attention network dynamics and task-based brain activation.

Kathryn Biernacki, Tianye Zhai, Justine Hill, Emily McConnell, Betty-Jo Salmeron, Roselinde H Kaiser, Amy C Janes

Abstract readRandomized Controlled Trial
In one paragraph

Trial report 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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Benchmarking fMRI Denoising Pipelines.Human brain mapping · 2026
    Article
  2. Observational
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

7 authors.

Kathryn BiernackiNational Institute on Drug Abuse - Intramural Research Program, National Institutes of Health, Baltimore, MD, USA. kathryn.biernacki@nih.gov.ORCID http://orcid.org/0000-0003-0715-2958
Tianye ZhaiNational Institute on Drug Abuse - Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
Justine HillNational Institute on Drug Abuse - Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.ORCID http://orcid.org/0009-0009-2287-5776
Emily McConnellNational Institute on Drug Abuse - Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
Betty-Jo SalmeronNational Institute on Drug Abuse - Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
Roselinde H KaiserCenter for Healthy Mind and Mood, University of Colorado Boulder, Boulder, CO, USA.ORCID http://orcid.org/0000-0002-0369-0583
Amy C JanesNational Institute on Drug Abuse - Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dynamic resting-state brain activity provides insight into intrinsic neural function and holds promise for predicting individual responses to cognitive demands and pharmacological interventions. This research could ultimately guide medication selection, yet links between network dynamics and medication effects on cognitive function require further validation. Here, we examined whether dynamic activity of an attentional network at rest relates to task-evoked brain activation on the Multi Source Interference Task (MSIT) following administration of methylphenidate (20 mg) and haloperidol (2 mg), which have opposing effects on attention and catecholaminergic function. Fifty-nine healthy adults completed resting-state and task-based fMRI on three separate days on which they received methylphenidate, haloperidol, or placebo in a double-blind placebo-controlled design. Coactivation pattern analysis determined time spent in the dorsal attention network (DAN) under placebo at rest. Linear mixed-effects modeling assessing the relationship between MSIT task activation under drug and time spent in DAN at rest under placebo and MSIT task activation under drug identified a significant interaction in the dorsolateral prefrontal cortex (dlPFC; p < 0.001). Post-hoc analyses indicated that more time in the DAN at rest under placebo was associated with decreased MSIT dlPFC activation under methylphenidate and increased dlPFC activation under haloperidol. Findings demonstrate that resting dynamics of an attentional network are linked to task-related brain responses under different drug conditions within a region implicated in attentional control and sensitive to catecholaminergic variance. Resting-state dynamics may predict pharmacological modulation of goal-directed cognition, highlighting the potential clinical utility of resting-state dynamics in predicting medication response and supporting individualized treatment.

Indexed as

AttentionBrainHaloperidolMethylphenidateRestAdultBrain MappingCentral Nervous System StimulantsCognitive EnhancementDouble-Blind MethodFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysYoung AdultCentral Nervous System StimulantsHaloperidolMethylphenidate

Identifiers

PMID41530553
PMCPMC13013587

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.