Evidence map›Paper›PMID 39432973›Full record

ArticleNeuroImage. Clinical2024

Reorganization of integration and segregation networks in brain-based visual impairment.

Ibai Diez, Carla Troyas, Corinna M Bauer, Jorge Sepulcre, Lotfi B Merabet

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage. Clinical, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Ibai DiezGordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Computational Neuroimaging Lab, Biobizkaia Health Research Institute, Barakaldo, Spain; IKERBASQUE Basque Foundation for Science, Bilbao, Spain.
Carla TroyasGordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
Corinna M BauerGordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Ophthalmology, Massachusetts Eye and Ear, Boston, MA, USA.
Jorge SepulcreGordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; Yale PET Center, Yale Medical School, Yale University, New Haven, CT, USA. Electronic address: jorge.sepulcre@yale.edu.
Lotfi B MerabetHarvard Medical School, Boston, MA, USA; Department of Ophthalmology, Massachusetts Eye and Ear, Boston, MA, USA; Laboratory for Visual Neuroplasticity, Massachusetts Eye and Ear, Boston, MA, USA. Electronic address: Lotfi_Merabet@MEEI.HARVARD.EDU.

Funding

Characterizing Large-scale Neuroplastic Changes in Cerebral Compared to Ocular Visual ImpairmentR01EY031300 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI MERABET, LOTFI · 2020 to 2023
$1.3M
NEI NIH HHS R01 EY031300
6 · The paper itself

Abstract

Growing evidence suggests that cerebral connectivity changes its network organization by altering modular topology in response to developmental and environmental experience. However, changes in cerebral connectivity associated with visual impairment due to early neurological injury are still not fully understood. Cerebral visual impairment (CVI) is a brain-based visual disorder associated with damage and maldevelopment of retrochiasmal pathways and areas implicated in visual processing. In this study, we used a multimodal imaging approach and connectomic analyses based on structural (voxel-based morphometry; VBM) and resting state functional connectivity (rsfc) to investigate differences in weighted degree and link-level connectivity in individuals with CVI compared to controls with neurotypical development. We found that participants with CVI showed significantly reduced grey matter volume within the primary visual cortex and intraparietal sulcus (IPS) compared to controls. Participants with CVI also exhibited marked reorganization characterized by increased integration of visual connectivity to somatosensory and multimodal integration areas (dorsal and ventral attention regions) and lower connectivity from visual to limbic and default mode networks. Link-level functional changes in CVI were also associated with key clinical outcomes related to visual function and development. These findings provide early insight into how visual impairment related to early brain injury distinctly reorganizes the functional network architecture of the human brain.

Indexed as

ConnectomeMagnetic Resonance ImagingNerve NetVision DisordersAdolescentAdultBrainFemaleGray MatterHumansMaleYoung AdultCerebral visual impairmentConnectomicsLink-levelResting state functional connectivityVoxel-based morphometryWeighted degree

Identifiers

PMID39432973
PMCPMC11535411

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.