Evidence map›Paper›PMID 25628345›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2016

Structural Connectivity Fingerprints Predict Cortical Selectivity for Multiple Visual Categories across Cortex.

David E Osher, Rebecca R Saxe, Kami Koldewyn, John D E Gabrieli, Nancy Kanwisher, Zeynep M Saygin

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 2 pooled it
–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

87 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Multidimensional Feature Tuning in Category Selective Areas of Human Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
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  18. Helpless infants are learning a foundation model.Trends in cognitive sciences · 2024
    Review
  19. Article
  20. The Prediction of Brain Activity from Connectivity: Advances and Applications.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2024
    Review

27 more citing papers are in PubMed but not listed here.

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

6 authors.

David E OsherMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA.
Rebecca R SaxeMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Kami KoldewynMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA School of Psychology, Bangor University, Gwynedd, UK.
John D E GabrieliMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Nancy KanwisherMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Zeynep M SayginMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.

Funding

Integrative Training Progran in VisionT32EY013935 · NEI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI ADELSON, EDWARD H · 2001 to 2010
$1.7M
How connectivity determines function in the mature and developing human brainF32HD079169 · NICHD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SAYGIN, ZEYNEP · 2014 to 2016
$164k
Effects of Adolescent Depressive Symptoms Pubertal Timing and Interpersonal RelR36MH081728 · NIMH · FLORIDA INTERNATIONAL UNIVERSITY · PI CARTER, RONA CARTER · 2007 to 2007
$23k
NEI NIH HHS T32 EY013935NICHD NIH HHS F32HD079169NIMH NIH HHS T32 MH081728
6 · The paper itself

Abstract

A fundamental and largely unanswered question in neuroscience is whether extrinsic connectivity and function are closely related at a fine spatial grain across the human brain. Using a novel approach, we found that the anatomical connectivity of individual gray-matter voxels (determined via diffusion-weighted imaging) alone can predict functional magnetic resonance imaging (fMRI) responses to 4 visual categories (faces, objects, scenes, and bodies) in individual subjects, thus accounting for both functional differentiation across the cortex and individual variation therein. Furthermore, this approach identified the particular anatomical links between voxels that most strongly predict, and therefore plausibly define, the neural networks underlying specific functions. These results provide the strongest evidence to date for a precise and fine-grained relationship between connectivity and function in the human brain, raise the possibility that early-developing connectivity patterns may determine later functional organization, and offer a method for predicting fine-grained functional organization in populations who cannot be functionally scanned.

Indexed as

AdultBrain MappingCerebral CortexDiffusion Magnetic Resonance ImagingFemaleGray MatterHumansMagnetic Resonance ImagingMaleNeural PathwaysPattern Recognition, VisualYoung Adultdiffusion-weighted imagingstructure–functiontractographyvisual perception

Identifiers

PMID25628345
PMCPMC4785945

What OpenQuestion holds

Textmetadata
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.