Evidence map›Paper›PMID 41497626›Full record

ArticlebioRxiv : the preprint server for biology2025

Neural Mechanisms of Willed Attention Control.

Changhao Xiong, Qiang Yang, Sungkean Kim, Sreenivasan Meyyappan, Jesse J Bengson, George R Mangun, Mingzhou Ding

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

7 authors.

Changhao XiongJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA.
Qiang YangJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA.
Sungkean KimDepartment of Human-Computer Interaction, Hanyang University, Republic of Korea.
Sreenivasan MeyyappanCenter for Mind and Brain, University of California, Davis, CA 95618, USA.
Jesse J BengsonCenter for Mind and Brain, University of California, Davis, CA 95618, USA.
George R MangunCenter for Mind and Brain, University of California, Davis, CA 95618, USA.
Mingzhou DingJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0002-1024-3503

Funding

Mechanisms of attentional control: Structure and dynamics from simultaneous EEG-fMRI and machine learningR01MH117991 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DING, MINGZHOU, MANGUN, GEORGE R · 2018 to 2022
$2.7M
NIMH NIH HHS R01 MH117991
6 · The paper itself

Abstract

Cueing paradigms are commonly used to study the neural mechanisms of visual spatial attention control. In these paradigms, each trial starts with an external cue, which instructs the subject to pay covert attention to a spatial location in anticipation of an impending stimulus (instructed attention). Recent work has introduced a new type of cue which prompts the subject to spontaneously decide which spatial location to attend (willed attention). We studied the neural mechanisms of willed attention control by analyzing fMRI and EEG data recorded at two institutions (UF and UC Davis) using the same willed attention paradigm. The findings include: (1) both instructional cues and the choice cue activated the DAN, (2) the choice cue additionally activated a frontoparietal decision network consisting of dorsal anterior cingulate cortex (dACC), anterior insula (AI), anterior prefrontal cortex (APFC), dorsal lateral prefrontal cortex (DLPFC), and inferior parietal lobule (IPL), (3) the decision about where to attend can be decoded in frontoparietal decision network in choice trials but not in instructional trials, and (4) EEG alpha oscillation patterns immediately preceding the choice cue, but not the instructional cues, predicted the postcue direction of attention and the frontoparietal decision network activity. Based on these findings we proposed a model of willed attention control revealing how the direction of visual spatial attention was decided upon in the absence of external instructions.

Indexed as

alpha oscillationsdecision makingEEGfMRIfrontoparietal decision networkMVPAWilled attention

Identifiers

PMID41497626
PMCPMC12767656

What OpenQuestion holds

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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.