Evidence map›Paper›PMID 31912459›Full record

ArticleJournal of neurovirology2020

Detecting cognitive impairment in HIV-infected individuals using mutual connectivity analysis of resting state functional MRI.

Anas Z Abidin, Adora M DSouza, Giovanni Schifitto, Axel Wismüller

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neurovirology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 36 citations in OpenAlex.

  1. Trial
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  6. Review
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  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Neuroimaging the Neuropathogenesis of HIV.Current HIV/AIDS reports · 2021
    Review
  14. Review
  15. Article
  16. Functional MRI Correlates of Sleep Quality in HIV.Nature and science of sleep · 2021
    Article
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 at 2 institutions in 2 countries.

Anas Z AbidinDepartment of Biomedical Engineering, Rochester Center for Brain Imaging, University of Rochester, 601 Elmwood Avenue, Rochester, NY, 14627, USA. anas.abidin@rochester.edu.ORCID 0000-0003-0032-0664
Adora M DSouzaDepartment of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA.
Giovanni SchifittoDepartment of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA.
Axel WismüllerDepartment of Biomedical Engineering, Rochester Center for Brain Imaging, University of Rochester, 601 Elmwood Avenue, Rochester, NY, 14627, USA.
University of Rochester · USUniversity of Rochester Medical Center · US

Funding

CRCNS: Large Scale Brain Connectivity in HIV-Related Cognitive ImpairmentR01DA034977 · NIDA · UNIVERSITY OF ROCHESTER · PI WISMUELLER, AXEL W.E. · 2012 to 2014
$599k
NIDA NIH HHS R01-DA-034977
6 · The paper itself

Abstract

It is estimated that more than 50% of the individuals affected with Human Immunodeficiency Virus (HIV) present deficits in multiple cognitive domains, collectively known as HIV-associated neurocognitive disorder (HAND). Early stages of brain injury may be clinically silent but potentially measurable via neuroimaging. A total of 40 subjects (20 HIV positive and 20 age-matched controls) volunteered for the study. All subjects underwent a standard battery of neuropsychological tests used for the clinical diagnosis of HAND. Fourteen HIV+ and five healthy subjects showed signs of neurological impairment. Connectivity was computed using mutual connectivity analysis (MCA) with generalized radial basis function neural network, a framework for quantifying non-linear connectivity as well as conventional correlation from 160 regional time-series that were extracted based on the Dosenbach (DOS) atlas. We subsequently applied graph theoretic as well as network analysis approaches for characterizing the connectivity matrices obtained and localizing between-group differences. We focused on trying to detect cognitive impairment using the subset of 29 (14 subjects with HAND and 15 cognitively normal controls) subjects. For the global analysis, significant differences (p < 0.05) were seen in the variance in degree, modularity and Smallworldness. Regional analysis revealed changes occurring mainly in portions of the lateral occipital cortex and the cingulate cortex. Furthermore, using Network Based Statistics (NBS), we uncovered an affected sub-network of 19 nodes comprising predominantly of regions of the default mode network. Similar analysis using the conventional correlation method revealed no significant results at a global scale, while regional analysis shows some differences spread across resting state networks. These results suggest that there is a subtle reorganization occurring in the topology of brain networks in HAND, which can be captured using improved connectivity analysis.

Indexed as

AdultAIDS Dementia ComplexBrainCognitive DysfunctionFemaleHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingCognitive impairmentFunctional connectivityGraph-theoretic analysisHIVSmall-world networks

Identifiers

PMID31912459
OpenAlexW3000645223

What OpenQuestion holds

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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.