Evidence map›Paper›PMID 28474183›Full record

ArticleBrain structure & function2017

Do all roads lead to Rome? A comparison of brain networks derived from inter-subject volumetric and metabolic covariance and moment-to-moment hemodynamic correlations in old individuals.

Xin Di, Suril Gohel, Andre Thielcke, Hans F Wehrl, Bharat B Biswal, Alzheimer’s Disease Neuroimaging Initiative

Open access · greenAbstract read
In one paragraph

Article in Brain structure & function, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Human cerebral cortex organization characterized by functional PET-FDG "Metabolic Connectivity".European journal of nuclear medicine and molecular imaging · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Stable brain PET metabolic networks using a multiple sampling scheme.Network neuroscience (Cambridge, Mass.) · 2025
    Article
  7. Article
  8. Similarity between structural and proxy estimates of brain connectivity.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
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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

6 authors at 2 institutions in 2 countries.

Xin DiDepartment of Biomedical Engineering, New Jersey Institute of Technology, 607 Fenster Hall, University Height, Newark, NJ, 07102, USA.
Suril GohelDepartment of Biomedical Engineering, New Jersey Institute of Technology, 607 Fenster Hall, University Height, Newark, NJ, 07102, USA.
Andre ThielckeDepartment of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center, Eberhard Karls University of Tuebingen, Tübingen, Germany.
Hans F WehrlDepartment of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center, Eberhard Karls University of Tuebingen, Tübingen, Germany.
Bharat B BiswalDepartment of Biomedical Engineering, New Jersey Institute of Technology, 607 Fenster Hall, University Height, Newark, NJ, 07102, USA. bbiswal@yahoo.com.
Alzheimer’s Disease Neuroimaging Initiative
New Jersey Institute of Technology · USSiemens (Germany) · DE

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Functional MRI of Aging: Biophysical CharacterizationR01AG032088 · NIA · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI BISWAL, BHARAT BHUSAN · 2010 to 2014
$1.5M
CRCNS: Deciphering the laminar-specific functional connectivity and its vascular and neural correlatesR01AT009829 · NCCIH · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI BISWAL, BHARAT BHUSAN · 2017 to 2019
$400k
CRCNS: Neurophysiological Basis of Brain ConnectivityR01DA038895 · NIDA · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI BISWAL, BHARAT BHUSAN · 2014 to 2016
$381k
NCCIH NIH HHS R01 AT009829NIA NIH HHS R01 AG032088NIA NIH HHS U01 AG024904NIDA NIH HHS R01 DA038895
6 · The paper itself

Abstract

Relationships between spatially remote brain regions in human have typically been estimated by moment-to-moment correlations of blood-oxygen-level dependent signals in resting-state using functional MRI (fMRI). Recently, studies using subject-to-subject covariance of anatomical volumes, cortical thickness, and metabolic activity are becoming increasingly popular. However, question remains on whether these measures reflect the same inter-region connectivity and brain network organizations. In the current study, we systematically analyzed inter-subject volumetric covariance from anatomical MRI images, metabolic covariance from fluorodeoxyglucose positron emission tomography images from 193 healthy subjects, and resting-state moment-to-moment correlations from fMRI images of a subset of 44 subjects. The correlation matrices calculated from the three methods were found to be minimally correlated, with higher correlation in the range of 0.31, as well as limited proportion of overlapping connections. The volumetric network showed the highest global efficiency and lowest mean clustering coefficient, leaning toward random-like network, while the metabolic and resting-state networks conveyed properties more resembling small-world networks. Community structures of the volumetric and metabolic networks did not reflect known functional organizations, which could be observed in resting-state network. The current results suggested that inter-subject volumetric and metabolic covariance do not necessarily reflect the inter-regional relationships and network organizations as resting-state correlations, thus calling for cautions on interpreting results of inter-subject covariance networks.

Indexed as

HemodynamicsAgedAged, 80 and overBrainBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysPositron-Emission TomographyReproducibility of ResultsBrain connectivityBrain networkGray matter volumePETResting-state

Identifiers

PMID28474183
PMCPMC10650976
OpenAlexW2611543414

What OpenQuestion holds

Textmetadata
LicenceTDM
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.