Evidence map›Paper›PMID 41015029›Full record

ArticleNeuron2025

Within-individual precision mapping of brain networks exclusively using task data.

Jingnan Du, Vaibhav Tripathi, Maxwell L Elliott, Joanna Ladopoulou, Wendy Sun, Mark C Eldaief, Randy L Buckner

Abstract read
In one paragraph

Article in Neuron, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  6. The Extended Language Network: Language-Responsive Brain Areas Whose Contributions to Language Remain To Be Discovered.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  7. Functional brain organization is stable within individuals across years.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Article
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  11. Increased Aperiodic Exponents Track Depression Symptom Severity.bioRxiv : the preprint server for biology · 2026
    Article
  12. Individualized Mapping of Functional Brain Networks in Older Adulthood.bioRxiv : the preprint server for biology · 2026
    Article
  13. Article
  14. Article
  15. Old-New Recognition Memory Revisited.bioRxiv : the preprint server for biology · 2025
    Article
  16. The cerebellar components of the human language network.bioRxiv : the preprint server for biology · 2025
    Article
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Jingnan DuDepartment of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA. Electronic address: jingnandu@fas.harvard.edu.
Vaibhav TripathiDepartment of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.
Maxwell L ElliottDepartment of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.
Joanna LadopoulouDepartment of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.
Wendy SunDepartment of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.
Mark C EldaiefDepartment of Psychiatry, Massachusetts General Hospital, Charlestown, MA 02129, USA.
Randy L BucknerDepartment of Psychology, Center for Brain Science, Harvard University, Cambridge, MA 02138, USA; Department of Psychiatry, Massachusetts General Hospital, Charlestown, MA 02129, USA; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA. Electronic address: randy_buckner@harvard.edu.

Funding

Precision Mapping the Human Cerebellum for Neuromodulation and Understanding of Brain DisordersR01MH124004 · NIMH · HARVARD UNIVERSITY · PI BUCKNER, RANDY L, POLIMENI, JONATHAN RIZZO · 2020 to 2022
$1.8M
Upgrade Siemens MAGNETOM Trio to MAGNETOM Prisma Fit 3T Human MRI SystemS10OD020039 · OD · HARVARD UNIVERSITY · PI BUCKNER, RANDY L · 2015 to 2015
$600k
NIH HHS S10 OD020039NIMH NIH HHS R01 MH124004
6 · The paper itself

Abstract

Precision mapping of brain networks within individuals prevailingly relies on functional connectivity analysis of resting-state data. Here, we explored whether networks can be estimated using only task data. Correlation matrices estimated from task data were similar to those derived from resting-state data. The largest factor affecting similarity was the amount of data. Precision networks estimated from task data showed strong spatial overlap with those derived from resting-state data and predicted the same triple functional dissociation in independent data. To illustrate novel possibilities enabled by the present methods, we mapped the detailed organization of thalamic association zones within individuals by pooling extensive resting-state and task data. We also demonstrated how task data can be used to estimate networks while simultaneously extracting task responses. Broadly, these findings suggest that there is an underlying, stable network architecture that is idiosyncratic to the individual and persists across task states.

Indexed as

BrainBrain MappingNerve NetAdultFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysThalamusYoung Adultassociation cortexdefault networkfunctional connectivityindividual differencesprecision functional mappingtask fMRI

Identifiers

PMID41015029
PMCPMC12935283

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LicenceCC BY
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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.