Evidence map›Paper›PMID 34035413›Full record

ArticleScientific reports2021

Brainwide functional networks associated with anatomically- and functionally-defined hippocampal subfields using ultrahigh-resolution fMRI.

Wei-Tang Chang, Stephanie K Langella, Yichuan Tang, Sahar Ahmad, Han Zhang, Pew-Thian Yap, Kelly S Giovanello, Weili Lin

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

8 authors.

Wei-Tang ChangBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. weitang_chang@med.unc.edu.
Stephanie K LangellaDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Yichuan TangBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Sahar AhmadBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Han ZhangBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Pew-Thian YapBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Kelly S GiovanelloBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Weili LinBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. weili_lin@med.unc.edu.

Funding

UNC/UMN Baby Connectome ProjectU01MH110274 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELISON, JED THOMAS, GILMORE, JOHN HORACE · 2016 to 2019
$4.5M
Ultrahigh-resolution fMRI of age-altered hippocampal subfield-cortical interactionsR21AG060324 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHANG, WEI-TANG · 2019 to 2020
$424k
Characterizing morphological and hemodynamic characteristics of human brain perivascular spaces with aging using 7T MRIR21NS095027 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LIN, WEILI · 2016 to 2017
$418k
NIH HHS R21AG060324NIMH NIH HHS U01 MH110274NINDS NIH HHS R21 NS095027
6 · The paper itself

Abstract

The hippocampus is critical for learning and memory and may be separated into anatomically-defined hippocampal subfields (aHPSFs). Hippocampal functional networks, particularly during resting state, are generally analyzed using aHPSFs as seed regions, with the underlying assumption that the function within a subfield is homogeneous, yet heterogeneous between subfields. However, several prior studies have observed similar resting-state functional connectivity (FC) profiles between aHPSFs. Alternatively, data-driven approaches investigate hippocampal functional organization without a priori assumptions. However, insufficient spatial resolution may result in a number of caveats concerning the reliability of the results. Hence, we developed a functional Magnetic Resonance Imaging (fMRI) sequence on a 7 T MR scanner achieving 0.94 mm isotropic resolution with a TR of 2 s and brain-wide coverage to (1) investigate the functional organization within hippocampus at rest, and (2) compare the brain-wide FC associated with fine-grained aHPSFs and functionally-defined hippocampal subfields (fHPSFs). This study showed that fHPSFs were arranged along the longitudinal axis that were not comparable to the lamellar structures of aHPSFs. For brain-wide FC, the fHPSFs rather than aHPSFs revealed that a number of fHPSFs connected specifically with some of the functional networks. Different functional networks also showed preferential connections with different portions of hippocampal subfields.

Indexed as

AdultCerebrumFemaleFunctional NeuroimagingHippocampusHumansMagnetic Resonance ImagingMaleRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsYoung Adult

Identifiers

PMID34035413
PMCPMC8149395

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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.