Evidence map›Paper›PMID 42094353›Full record

ArticlebioRxiv : the preprint server for biology2026

Fermin Balda Aizpurua, Roya Sharifpour, Islay Campbell, Elise Beckers, Sara Lelot, Alexandre Berger, Nasrin Mortazavi, Ekaterina Koshmanova, Fabienne Collette, Laurent Lamalle and 4 more

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

14 authors.

Fermin Balda AizpuruaGIGA-Institute, CRC-Human Imaging, University of Liège, Liège, Belgium.
Roya SharifpourCurrent address: Department of Translational Neuroimaging, Hôpital Erasme, Hôpital Universitaire de Bruxelles, Université libre de Bruxelles, Brussels, Belgium.
Islay CampbellGIGA-Institute, CRC-Human Imaging, University of Liège, Liège, Belgium.ORCID 0000-0003-4497-6673
Elise BeckersGIGA-Institute, CRC-Human Imaging, University of Liège, Liège, Belgium.
Sara LelotGIGA-Institute, CRC-Human Imaging, University of Liège, Liège, Belgium.
Alexandre BergerGIGA-Institute, CRC-Human Imaging, University of Liège, Liège, Belgium.
Nasrin MortazaviGIGA-Institute, CRC-Human Imaging, University of Liège, Liège, Belgium.
Ekaterina KoshmanovaGIGA-Institute, CRC-Human Imaging, University of Liège, Liège, Belgium.
Fabienne ColletteGIGA-Institute, CRC-Human Imaging, University of Liège, Liège, Belgium.ORCID 0000-0001-9288-9756
Laurent LamalleGIGA-Institute, CRC-Human Imaging, University of Liège, Liège, Belgium.
Heidi Il JacobsFaculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University; Maastricht, The Netherlands.
Mikhail ZubkovGIGA-Institute, CRC-Human Imaging, University of Liège, Liège, Belgium.
Puneet TalwarGIGA-Institute, CRC-Human Imaging, University of Liège, Liège, Belgium.
Gilles VandewalleGIGA-Institute, CRC-Human Imaging, University of Liège, Liège, Belgium.ORCID 0000-0003-2483-2752

Funding

Tracking the origin of tau pathology: dovetailing (pre-)preclinical biomarker trajectoriesR01AG062559 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Heidi Irma Jacobs · 2019 to 2026
$4.8M
The wandering nerve: gateway to boost Alzheimer's disease related cognitive performanceR01AG068062 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI JACOBS, HEIDI IRMA · 2021 to 2025
$4.6M
Locus coeruleus network architecture of Alzheimer's disease vulnerabilityR01AG082006 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Heidi Irma Jacobs, Jorge Sepulcre · 2023 to 2026
$2.7M
NIA NIH HHS R01 AG062559NIA NIH HHS R01 AG068062NIA NIH HHS R01 AG082006
6 · The paper itself

Abstract

Dysfunction of the Locus coeruleus (LC), a small brainstem nucleus which consists of the brain's primary source of norepinephrine, is linked to various neurological and psychiatric disorders. Light exposure influences many non-image-forming (NIF) biological functions including those modulated by LC activity. Yet direct evidence of light-driven modulation of the LC has remained elusive due to the structure's small size and deep location. Using ultra-high-field (7 Tesla) functional MRI during an emotional task under varying illuminances, we demonstrate that light modulates LC activity in an emotion-dependent manner. We show that increased illuminance dampens LC responses to negative emotional stimuli while enhancing responses to neutral stimuli. Furthermore, we provide tentative evidence that within an emotional context, light may affect LC activity through the basomedial nucleus of the amygdala as well as through a region of the hypothalamus encompassing the lateral hypothalamus. These findings open avenues for the development of targeted, non-pharmacological treatments leveraging light to modulate norepinephrine tone and/or LC activity in several neuropsychiatric disorders. Significance Statement: Dysfunction of the Locus Coeruleus (LC), a small nucleus of brain and the main source of norepinephrine, is linked to various brain disorders. Here we provide in vivo evidence that exposure to light can alter the activity of the LC with higher illuminance leading to dampened LC responses to negative emotional stimuli. These findings identify the LC as a key target for the therapeutic effects of light on emotion, offering a biological framework for using light to treat neuropsychiatric disorders.

Indexed as

Biological ScienceshypothalamusmelanopsinNeurosciencenon-image-forming (NIF) lightnorepinephrinePhysiologyUltra high-field MRI

Identifiers

PMID42094353
PMCPMC13142335

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.