Evidence map›Paper›PMID 37694156›Full record

ArticleiScience2023

Tangent functional connectomes uncover more unique phenotypic traits.

Kausar Abbas, Mintao Liu, Michael Wang, Duy Duong-Tran, Uttara Tipnis, Enrico Amico, Alan D Kaplan, Mario Dzemidzic, David Kareken, Beau M Ances and 2 more

Abstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  3. Gene-Modulated Network Diffusion for Improved Modeling of Amyloid-bioRxiv : the preprint server for biology · 2026
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  10. Characterizing Amyloid Pathogenic Spread in Alzheimer's Disease Through A Network Diffusion Model.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2025
    Article
  11. Article
  12. Causality-based Subject and Task Fingerprints using fMRI Time-series Data.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2024
    Article
  13. Caudal and Thalamic Segregation in White Matter Brain Network Communities in Alzheimer's Disease Population.... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics · 2024
    Article
  14. Article
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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.

Kausar AbbasPurdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN, USA.
Mintao LiuPurdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN, USA.
Michael WangPurdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN, USA.
Duy Duong-TranPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Uttara TipnisLawrence Livermore National Laboratory, Livermore, CA, USA.
Enrico AmicoInstitute of Bioengineering, Center for Neuroprosthetics, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland.
Alan D KaplanLawrence Livermore National Laboratory, Livermore, CA, USA.
Mario DzemidzicDepartment of Neurology, Indiana University School of Medicine, Indiana Alcohol Research Center, Indianapolis, IN, USA.
David KarekenDepartment of Neurology, Indiana University School of Medicine, Indiana Alcohol Research Center, Indianapolis, IN, USA.
Beau M AncesDepartment of Neurology, Washington University in Saint Louis, School of Medicine, St Louis, MO, USA.
Jaroslaw HarezlakDepartment of Epidemiology and Biostatistics, Indiana University, Bloomington, IN, USA.
Joaquín GoñiPurdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN, USA.

Funding

Translational Research and Science Education (OUT)P60AA007611 · NIAAA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI DAVID A. KAREKEN · 2003 to 2026
$45.5M
Functional connectivity reconfigurations in risk for alcohol use disordersR01AA029607 · NIAAA · INDIANA UNIVERSITY INDIANAPOLIS · PI Mario Dzemidzic, DAVID A. KAREKEN · 2022 to 2026
$2.7M
Limbic-Executive Network Transitions in Alcohol Use DisorderR21AA029614 · NIAAA · INDIANA UNIVERSITY INDIANAPOLIS · PI KAREKEN, DAVID A. · 2021 to 2022
$430k
NIAAA NIH HHS P60 AA007611NIAAA NIH HHS R01 AA029607NIAAA NIH HHS R21 AA029614
6 · The paper itself

Abstract

Functional connectomes (FCs) containing pairwise estimations of functional couplings between pairs of brain regions are commonly represented by correlation matrices. As symmetric positive definite matrices, FCs can be transformed via tangent space projections, resulting into tangent-FCs. Tangent-FCs have led to more accurate models predicting brain conditions or aging. Motivated by the fact that tangent-FCs seem to be better biomarkers than FCs, we hypothesized that tangent-FCs have also a higher fingerprint. We explored the effects of six factors: fMRI condition, scan length, parcellation granularity, reference matrix, main-diagonal regularization, and distance metric. Our results showed that identification rates are systematically higher when using tangent-FCs across the "fingerprint gradient" (here including test-retest, monozygotic and dizygotic twins). Highest identification rates were achieved when minimally (0.01) regularizing FCs while performing tangent space projection using Riemann reference matrix and using correlation distance to compare the resulting tangent-FCs. Such configuration was validated in a second dataset (resting-state).

Indexed as

Biological sciencesPhenotyping

Identifiers

PMID37694156
PMCPMC10483051

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.