Evidence map›Paper›PMID 34811849›Full record

ArticleHuman brain mapping2022

Shared functional connections within and between cortical networks predict cognitive abilities in adult males and females.

Elvisha Dhamala, Keith W Jamison, Abhishek Jaywant, Amy Kuceyeski

Abstract read
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  19. Mining Correlation between Fluid Intelligence and Whole-brain Large Scale Structural Connectivity.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023
    Article
  20. Review
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

4 authors.

Elvisha DhamalaDepartment of Radiology, Weill Cornell Medicine, New York, New York, USA.ORCID 0000-0002-8253-6962
Keith W JamisonDepartment of Radiology, Weill Cornell Medicine, New York, New York, USA.ORCID 0000-0001-7139-6661
Abhishek JaywantDepartment of Psychiatry, Weill Cornell Medicine, New York, New York, USA.ORCID 0000-0003-4307-5742
Amy KuceyeskiDepartment of Radiology, Weill Cornell Medicine, New York, New York, USA.ORCID 0000-0002-5050-8342

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Neurorehabilitation and Restorative Neuroscience NetworkK12HD093427 · NICHD · GEORGETOWN UNIVERSITY · PI BREGMAN, BARBARA S, DROMERICK, ALEXANDER W · 2017 to 2021
$3.9M
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
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
Learning high-dimensional functional connectomes of heterogeneous populationsR21NS120227 · NINDS · CORNELL UNIVERSITY · PI BASU, SUMANTA · 2020 to 2020
$428k
NICHD NIH HHS K12 HD093427NIH HHS R01 NS102646-01A1NIH HHS R21 NS104634-01NIH HHS R21 NS120227-01NIMH NIH HHS U54 MH091657NINDS NIH HHS R01 NS102646NINDS NIH HHS R21 NS104634NINDS NIH HHS R21 NS120227
6 · The paper itself

Abstract

A thorough understanding of sex-independent and sex-specific neurobiological features that underlie cognitive abilities in healthy individuals is essential for the study of neurological illnesses in which males and females differentially experience and exhibit cognitive impairment. Here, we evaluate sex-independent and sex-specific relationships between functional connectivity and individual cognitive abilities in 392 healthy young adults (196 males) from the Human Connectome Project. First, we establish that sex-independent models comparably predict crystallised abilities in males and females, but only successfully predict fluid abilities in males. Second, we demonstrate sex-specific models comparably predict crystallised abilities within and between sexes, and generally fail to predict fluid abilities in either sex. Third, we reveal that largely overlapping connections between visual, dorsal attention, ventral attention, and temporal parietal networks are associated with better performance on crystallised and fluid cognitive tests in males and females, while connections within visual, somatomotor, and temporal parietal networks are associated with poorer performance. Together, our findings suggest that shared neurobiological features of the functional connectome underlie crystallised and fluid abilities across the sexes.

Indexed as

ConnectomeAdultCerebral CortexFemaleHumansIntelligenceMachine LearningMagnetic Resonance ImagingMaleNerve NetSex FactorsYoung Adultcognitionconnectomicsfunctional connectivitymachine learningneuroimagingpredictionsex-specific

Identifiers

PMID34811849
PMCPMC8764478

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.