Evidence map›Paper›PMID 39103509›Full record

ArticleNature biomedical engineering2024

Contributions of network structure, chemoarchitecture and diagnostic categories to transitions between cognitive topographies.

Andrea I Luppi, S Parker Singleton, Justine Y Hansen, Keith W Jamison, Danilo Bzdok, Amy Kuceyeski, Richard F Betzel, Bratislav Misic

Abstract read
In one paragraph

Article in Nature biomedical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  8. Structure-function coupling in the human brainstem.bioRxiv : the preprint server for biology · 2026
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  17. The molecular and cellular underpinnings of human brain lateralization.bioRxiv : the preprint server for biology · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Andrea I LuppiMontreal Neurological Institute, McGill University, Montreal, Quebec, Canada. al857@cam.ac.uk.ORCID 0000-0002-3461-6431
S Parker SingletonDepartment of Computational Biology, Cornell University, Ithaca, NY, USA.ORCID 0000-0002-7102-7820
Justine Y HansenMontreal Neurological Institute, McGill University, Montreal, Quebec, Canada.ORCID 0000-0003-3142-7480
Keith W JamisonDepartment of Computational Biology, Cornell University, Ithaca, NY, USA.ORCID 0000-0001-7139-6661
Danilo BzdokMontreal Neurological Institute, McGill University, Montreal, Quebec, Canada.ORCID 0000-0003-3466-6620
Amy KuceyeskiDepartment of Radiology, Weill Cornell Medicine, New York, NY, USA.ORCID 0000-0002-5050-8342
Richard F BetzelPsychological and Brain Sciences, Indiana University, Bloomington, IN, USA.ORCID 0000-0001-9200-1681
Bratislav MisicMontreal Neurological Institute, McGill University, Montreal, Quebec, Canada.ORCID 0000-0003-0307-2862

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Multi-Modal Imaging of the Mechanisms Underlying Impaired Executive Attention After Traumatic Brain InjuryR01NS102646 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KUCEYESKI, AMY FRANCES, SHAH, SUDHIN · 2018 to 2022
$2.8M
Investigating the impact of loneliness on brain aging and pre-symptomatic Alzheimer's disease progressionR01AG068563 · NIA · MCGILL UNIVERSITY · PI BZDOK, DANILO, SPRENG, ROBERT NATHAN · 2020 to 2024
$2.3M
Application of a Bayesian strategy to ABCD: Identification of substance use risk and COVID-19 effects on neurodevelopmentR01DA053301 · NIDA · YALE UNIVERSITY · PI Sarah Yip · 2022 to 2026
$1.6M
Heritability and cognitive implications of structural-functional connectome couplingRF1MH123232 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI KUCEYESKI, AMY FRANCES · 2021 to 2021
$1.3M
Quantifying the role of the connectome in resiliency to multiple sclerosisR21NS104634 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KUCEYESKI, AMY FRANCES · 2017 to 2018
$466k
Fonds de Recherche du Québec - Nature et Technologies (Quebec Fund for Research in Nature and Technology) 2020-RS4-265502National Science Foundation (NSF) DGE-1650441NIA NIH HHS R01 AG068563NIDA NIH HHS R01 DA053301NIMH NIH HHS RF1 MH123232NIMH NIH HHS U54 MH091657NINDS NIH HHS R01 NS102646NINDS NIH HHS R21 NS104634U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01 AG068563AU.S. Department of Health & Human Services | National Institutes of Health (NIH) RF1MH123232
6 · The paper itself

Abstract

The mechanisms linking the brain's network structure to cognitively relevant activation patterns remain largely unknown. Here, by leveraging principles of network control, we show how the architecture of the human connectome shapes transitions between 123 experimentally defined cognitive activation maps (cognitive topographies) from the NeuroSynth meta-analytic database. Specifically, we systematically integrated large-scale multimodal neuroimaging data from functional magnetic resonance imaging, diffusion tractography, cortical morphometry and positron emission tomography to simulate how anatomically guided transitions between cognitive states can be reshaped by neurotransmitter engagement or by changes in cortical thickness. Our model incorporates neurotransmitter-receptor density maps (18 receptors and transporters) and maps of cortical thickness pertaining to a wide range of mental health, neurodegenerative, psychiatric and neurodevelopmental diagnostic categories (17,000 patients and 22,000 controls). The results provide a comprehensive look-up table charting how brain network organization and chemoarchitecture interact to manifest different cognitive topographies, and establish a principled foundation for the systematic identification of ways to promote selective transitions between cognitive topographies.

Indexed as

BrainCognitionConnectomeDiffusion Tensor ImagingHumansMagnetic Resonance ImagingNerve NetNeuroimagingPositron-Emission Tomography

Identifiers

PMID39103509
PMCPMC11410673

What OpenQuestion holds

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Registered trials

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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.