Evidence map›Paper›PMID 34622518›Full record

ArticleHuman brain mapping2022

Pupillometry tracks cognitive load and salience network activity in a working memory functional magnetic resonance imaging task.

Julia Fietz, Dorothee Pöhlchen, Florian P Binder, BeCOME Working Group, Michael Czisch, Philipp G Sämann, Victor I Spoormaker

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07402356 (Task-evoked Pupillometry in AD, MCI, and Depression-Related Cognitive Impairment), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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.

NCT07402356 recruitingnot on this mapstarted 2025, after this paper: background citation

Task-evoked Pupillometry in AD, MCI, and Depression-Related Cognitive Impairment

TypeobservationalSponsorMax-Planck-Institute of PsychiatryRan2025 to 2027Enrolled140ConditionsAlzheimer s Disease, Major Depressive Disorder (MDD), Mild Cognitive Impairment, Dementia
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 24 citations in OpenAlex.

  1. Domain-general demands that deactivate multiple-demand regions.Cerebral cortex (New York, N.Y. : 1991) · 2026
    Article
  2. Article
  3. Measuring Mental Effort in Real Time Using Pupillometry.Journal of eye movement research · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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 at 2 institutions in 2 countries.

Julia FietzDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany.ORCID 0000-0002-0890-8780
Dorothee PöhlchenDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany.ORCID 0000-0001-7756-8727
Florian P BinderDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany.ORCID 0000-0001-5480-7780
BeCOME Working GroupDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany.
Michael CzischMax Planck Institute of Psychiatry, Munich, Germany.ORCID 0000-0002-3682-631X
Philipp G SämannMax Planck Institute of Psychiatry, Munich, Germany.ORCID 0000-0001-8523-3628
Victor I SpoormakerDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany.ORCID 0000-0002-4882-0572
Max Planck Institute of Psychiatry · DECentral Land Council · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diameter of the human pupil tracks working memory processing and is associated with activity in the frontoparietal network. At the same time, recent neuroimaging research has linked human pupil fluctuations to activity in the salience network. In this combined functional magnetic resonance imaging (fMRI)/pupillometry study, we recorded the pupil size of healthy human participants while they performed a blockwise organized working memory task (N-back) inside an MRI scanner in order to monitor the pupil fluctuations associated neural activity during working memory processing. We first confirmed that mean pupil size closely followed working memory load. Combining this with fMRI data, we focused on blood oxygen level dependent (BOLD) correlates of mean pupil size modeled onto the task blocks as a parametric modulation. Interrogating this modulated task regressor, we were able to retrieve the frontoparietal network. Next, to fully exploit the within-block dynamics, we divided the blocks into 1 s time bins and filled these with corresponding pupil change values (first-order derivative of pupil size). We found that pupil change within N-back blocks was positively correlated with BOLD amplitudes in the areas of the salience network (namely bilateral insula, and anterior cingulate cortex). Taken together, fMRI with simultaneous measurement of pupil parameters constitutes a valuable tool to dissect working memory subprocesses related to both working memory load and salience of the presented stimuli.

Indexed as

ConnectomeAdultCerebral CortexFemaleHumansMagnetic Resonance ImagingMaleMemory, Short-TermNerve NetPsychomotor PerformancePupilYoung Adultcerebral cortexgyrus cingulihumansmagnetic resonance imagingneuroimagingpupilshort-term memory

Identifiers

PMID34622518
PMCPMC8720183
OpenAlexW3204703691

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.