Evidence map›Paper›PMID 32916286›Full record

ArticleNeuroImage2020

Cross-species functional alignment reveals evolutionary hierarchy within the connectome.

Ting Xu, Karl-Heinz Nenning, Ernst Schwartz, Seok-Jun Hong, Joshua T Vogelstein, Alexandros Goulas, Damien A Fair, Charles E Schroeder, Daniel S Margulies, Jonny Smallwood and 2 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 156 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
156citing papers in PubMed, 2 pooled it
17.1field-weighted citation impact, top 1% 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.

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

156 citing papers in PubMed, 2 syntheses or guidelines pooled it, 265 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  8. Brainana: an end-to-end preprocessing framework for macaque neuroimaging.bioRxiv : the preprint server for biology · 2026
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  9. Trajectories of Response Inhibition Development in Adolescence.bioRxiv : the preprint server for biology · 2026
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96 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

12 authors at 9 institutions in 6 countries.

Ting XuCenter for the Developing Brain, Child Mind Institute, New York, NY, USA. Electronic address: ting.xu@childmind.org.
Karl-Heinz NenningComputational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria.
Ernst SchwartzComputational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria.
Seok-Jun HongCenter for the Developing Brain, Child Mind Institute, New York, NY, USA.
Joshua T VogelsteinDepartment of Biomedical Engineering, Institute for Computational Medicine, Kavli Neuroscience Discovery Institute, Johns Hopkins University, MD, USA.
Alexandros GoulasInstitute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg University, Hamburg, Germany.
Damien A FairAdvanced Imaging Research Center, Oregon Health & Science University, Portland, OR, USA.
Charles E SchroederCenter for Biomedical Imaging and Neuromodulation, Nathan Kline Institute, Orangeburg, NY, USA; Departments of neurosurgery and Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Daniel S MarguliesCentre National de la Recherche Scientifique (CNRS) UMR 7225, Frontlab, Institut du Cerveau et de la Moelle Epinière, Paris, France.
Jonny SmallwoodDepartment of Psychology, Queen's University, Kingston, Ontario, Canada; Psychology Department, University of York, York, UK.
Michael P MilhamCenter for the Developing Brain, Child Mind Institute, New York, NY, USA; Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute, Orangeburg, NY, USA.
Georg LangsComputational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.
Child Mind Institute · USMedical University of Vienna · ATNathan Kline Institute for Psychiatric Research · USAustrian Research Institute for Artificial Intelligence · ATCentre National de la Recherche Scientifique · FRJohns Hopkins University · USOregon Health & Science University · USQueen's University · CAUniversität Hamburg · DE

Funding

Project 5: ComputationalP50MH109429 · NIMH · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI Robert Thomas Knight · 2017 to 2026
$25.3M
Training and DisseminationP41EB015902 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI KIKINIS, RON, WESTIN, CARL-FREDRIK · 2012 to 2022
$20.9M
Defining Neuronal Circuits and Cellular Processes Underlying Resting fMRI SignalsR01MH111439 · NIMH · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI MILHAM, MICHAEL PETER, SCHROEDER, CHARLES E · 2016 to 2020
$5.1M
C-PAC: A configurable, compute-optimized, cloud-enabled neuroimaging analysis software for reproducible translational and comparativeR24MH114806 · NIMH · CHILD MIND INSTITUTE, INC. · PI CRADDOCK, RICHARD CAMERON, MILHAM, MICHAEL PETER · 2018 to 2020
$1.6M
An open software solution to integrate non-invasive brain stimulation with functional imaging dataRF1MH117428 · NIMH · UNIVERSITY OF MINNESOTA · PI OPITZ, ALEXANDER · 2019 to 2019
$1.4M
Austrian Science Fund FWF I 3925Biotechnology and Biological Sciences Research CouncilMedical Research CouncilNIBIB NIH HHS P41 EB015902NIMH NIH HHS P50 MH109429NIMH NIH HHS R01 MH111439NIMH NIH HHS R24 MH114806NIMH NIH HHS RF1 MH117428Wellcome Trust
6 · The paper itself

Abstract

Evolution provides an important window into how cortical organization shapes function and vice versa. The complex mosaic of changes in brain morphology and functional organization that have shaped the mammalian cortex during evolution, complicates attempts to chart cortical differences across species. It limits our ability to fully appreciate how evolution has shaped our brain, especially in systems associated with unique human cognitive capabilities that lack anatomical homologues in other species. Here, we develop a function-based method for cross-species alignment that enables the quantification of homologous regions between humans and rhesus macaques, even when their location is decoupled from anatomical landmarks. Critically, we find cross-species similarity in functional organization reflects a gradient of evolutionary change that decreases from unimodal systems and culminates with the most pronounced changes in posterior regions of the default mode network (angular gyrus, posterior cingulate and middle temporal cortices). Our findings suggest that the establishment of the default mode network, as the apex of a cognitive hierarchy, has changed in a complex manner during human evolution - even within subnetworks.

Indexed as

Biological EvolutionMagnetic Resonance ImagingAnimalsCerebral CortexConnectomeHumansMacaca mulattaNeural PathwaysSpecies SpecificityCross-species alignmentDefault mode networkEvolutionHierarchyJoint embedding

Identifiers

PMID32916286
PMCPMC7871099
OpenAlexW3083962177

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.