Evidence map›Paper›PMID 36945479›Full record

ArticlebioRxiv : the preprint server for biology2025

Connectional axis of individual functional variability: Patterns, structural correlates, and relevance for development and cognition.

Hang Yang, Guowei Wu, Yaoxin Li, Xiaoyu Xu, Jing Cong, Haoshu Xu, Yiyao Ma, Yang Li, Runsen Chen, Adam Pines and 4 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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, 6 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 6 institutions in 2 countries.

Hang YangBeijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 102206, China.ORCID 0000-0002-7349-3366
Guowei WuBeijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 102206, China.
Yaoxin LiBeijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 102206, China.
Xiaoyu XuBeijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 102206, China.
Jing CongBeijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 102206, China.
Haoshu XuBeijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 102206, China.
Yiyao MaBeijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 102206, China.
Yang LiBeijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 102206, China.
Runsen ChenVanke School of Public Health, Tsinghua University, Beijing, China.
Adam PinesPsychiatry and Behavioral Sciences, Stanford School of Medicine, Stanford University, Stanford, California, USA.
Ting XuCenter for the Developing Brain, Child Mind Institute, New York, NY 10022, USA.ORCID 0000-0002-0065-3832
Valerie J SydnorDepartment of Psychiatry, University of Pittsburgh Medical Center; Pittsburgh, PA, USA.
Theodore D SatterthwaitePenn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0001-7072-9399
Zaixu CuiBeijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 102206, China.ORCID 0000-0003-4385-8106
Chinese Academy of Medical Sciences & Peking Union Medical College · CNChild Mind Institute · USLifespan · USStanford University · USUniversity of Pittsburgh Medical Center · USVanke (China) · CN

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Mapping the Human Connectome During Typical DevelopmentU01MH109589 · NIMH · WASHINGTON UNIVERSITY · PI BARCH, DEANNA, BOOKHEIMER, SUSAN Y · 2016 to 2019
$17.1M
Training for Transformative Discovery in PsychiatryT32MH016804 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SWEET, ROBERT A · 1985 to 2025
$6.2M
NIMH NIH HHS T32 MH016804NIMH NIH HHS U01 MH109589NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

The human cerebral cortex exhibits intricate interareal functional synchronization at the macroscale, with substantial individual variability in these functional connections. However, the spatial organization of functional connectivity (FC) variability across the human connectome edges and its significance in cognitive development remain unclear. Here, we identified a connectional axis in the edge-level FC variability. The variability declined continuously along this axis from within-network to between-network connections, and from the edges linking association networks to those linking the sensorimotor and association networks. This connectional axis of functional variability is associated with spatial pattern of structural connectivity variability. Moreover, the connectional variability axis evolves in youth with an increasing flatter axis slope. We also observed that the slope of connectional variability axis was positively related to the performance in the higher-order cognition. Together, our results reveal a connectional axis in functional variability that is linked with structural connectome variability, refines during development, and is relevant to cognition.

Indexed as

Biological SciencesBiological Sciences/Neurosciencecognitive developmentconnectional axisfMRIfunctional connectivityinter-individual variabilityNeuroscience

Identifiers

PMID36945479
PMCPMC10028904
OpenAlexW4323817477

What Socratic 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 Socratic graph.