Evidence map›Paper›PMID 37520929›Full record

ReviewFrontiers in human neuroscience2023

Large-scale brain networks and intra-axial tumor surgery: a narrative review of functional mapping techniques, critical needs, and scientific opportunities.

Timothy F Boerger, Peter Pahapill, Alissa M Butts, Elsa Arocho-Quinones, Manoj Raghavan, Max O Krucoff

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in human neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 8 citations in OpenAlex.

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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 1 country.

Timothy F BoergerDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States.
Peter PahapillDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States.
Alissa M ButtsDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI, United States.
Elsa Arocho-QuinonesDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States.
Manoj RaghavanDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI, United States.
Max O KrucoffDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States.
Medical College of Wisconsin · USMarquette University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, a paradigm shift in neuroscience has been occurring from "localizationism," or the idea that the brain is organized into separately functioning modules, toward "connectomics," or the idea that interconnected nodes form networks as the underlying substrates of behavior and thought. Accordingly, our understanding of mechanisms of neurological function, dysfunction, and recovery has evolved to include connections, disconnections, and reconnections. Brain tumors provide a unique opportunity to probe large-scale neural networks with focal and sometimes reversible lesions, allowing neuroscientists the unique opportunity to directly test newly formed hypotheses about underlying brain structural-functional relationships and network properties. Moreover, if a more complete model of neurological dysfunction is to be defined as a "disconnectome," potential avenues for recovery might be mapped through a "reconnectome." Such insight may open the door to novel therapeutic approaches where previous attempts have failed. In this review, we briefly delve into the most clinically relevant neural networks and brain mapping techniques, and we examine how they are being applied to modern neurosurgical brain tumor practices. We then explore how brain tumors might teach us more about mechanisms of global brain dysfunction and recovery through pre- and postoperative longitudinal connectomic and behavioral analyses.

Indexed as

brain tumorconnectivitydiffusion weighted imaging (DWI)direct cortical stimulationelectrocorticographyfMRImagnetoencephalography (MEG)networks (circuits)

Identifiers

PMID37520929
PMCPMC10372448
OpenAlexW4384201066

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.