Evidence map›Paper›PMID 38914649›Full record

ArticleScientific reports2024

Discernible interindividual patterns of global efficiency decline during theoretical brain surgery.

Lin Yueh-Hsin, Nicholas B Dadario, Si Jie Tang, Lewis Crawford, Onur Tanglay, Hsu-Kang Dow, Isabella Young, Syed Ali Ahsan, Stephane Doyen, Michael E Sughrue

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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

10 authors.

Lin Yueh-Hsin *Centre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Suite 19, Level 7 Prince of Wales Private Hospital, Randwick, Sydney, NSW, 2031, Australia.
Nicholas B Dadario *Robert Wood Johnson Medical School, Rutgers University, 125 Paterson St, New Brunswick, NJ, 08901, USA.
Si Jie TangSchool of Medicine, 21772 University of California Davis Medical Center, 2315 Stockton Blvd., Sacramento, CA, 95817, USA.
Lewis CrawfordOmniscient Neurotechnology, Level 10/580 George Street, Sydney, NSW, 2000, Australia.
Onur TanglayOmniscient Neurotechnology, Level 10/580 George Street, Sydney, NSW, 2000, Australia.
Hsu-Kang DowSchool of Computer Science and Engineering, University of New South Wales (UNSW), Building K17, Sydney, NSW, 2052, USA.
Isabella YoungOmniscient Neurotechnology, Level 10/580 George Street, Sydney, NSW, 2000, Australia.
Syed Ali AhsanCentre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Suite 19, Level 7 Prince of Wales Private Hospital, Randwick, Sydney, NSW, 2031, Australia.
Stephane DoyenOmniscient Neurotechnology, Level 10/580 George Street, Sydney, NSW, 2000, Australia.
Michael E SughrueCentre for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Suite 19, Level 7 Prince of Wales Private Hospital, Randwick, Sydney, NSW, 2031, Australia. sughruevs@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concept of functional localization within the brain and the associated risk of resecting these areas during removal of infiltrating tumors, such as diffuse gliomas, are well established in neurosurgery. Global efficiency (GE) is a graph theory concept that can be used to simulate connectome disruption following tumor resection. Structural connectivity graphs were created from diffusion tractography obtained from the brains of 80 healthy adults. These graphs were then used to simulate parcellation resection in every gross anatomical region of the cerebrum by identifying every possible combination of adjacent nodes in a graph and then measuring the drop in GE following nodal deletion. Progressive removal of brain parcellations led to patterns of GE decline that were reasonably predictable but had inter-subject differences. Additionally, as expected, there were deletion of some nodes that were worse than others. However, in each lobe examined in every subject, some deletion combinations were worse for GE than removing a greater number of nodes in a different region of the brain. Among certain patients, patterns of common nodes which exhibited worst GE upon removal were identified as "connectotypes". Given some evidence in the literature linking GE to certain aspects of neuro-cognitive abilities, investigating these connectotypes could potentially mitigate the impact of brain surgery on cognition.

Indexed as

BrainDiffusion Tensor ImagingAdultBrain NeoplasmsConnectomeFemaleHumansMaleMiddle AgedNeurosurgical ProceduresYoung AdultConnectomeGlobal efficiencyGraph theoryNeurosurgeryPercolation theoryStructural networkTumor

Identifiers

PMID38914649
PMCPMC11196730

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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.