Evidence map›Paper›PMID 27104137›Full record

ArticleNeuroImage. Clinical2016

Intraoperative optical mapping of epileptogenic cortices during non-ictal periods in pediatric patients.

Yinchen Song, Jorge J Riera, Sanjiv Bhatia, John Ragheb, Claudia Garcia, Alexander G Weil, Prasanna Jayakar, Wei-Chiang Lin

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

8 authors.

Yinchen SongDepartment of Biomedical Engineering, Florida International University, 10555 West Flagler Street, EC 2600, Miami, FL 33174, United States.
Jorge J RieraDepartment of Biomedical Engineering, Florida International University, 10555 West Flagler Street, EC 2600, Miami, FL 33174, United States.
Sanjiv BhatiaDivision of Neurosurgery, Nicklaus Children's Hospital, 3100 SW 62nd Ave, Miami, FL 33155, United States.
John RaghebDivision of Neurosurgery, Nicklaus Children's Hospital, 3100 SW 62nd Ave, Miami, FL 33155, United States.
Claudia GarciaDivision of Neurosurgery, Nicklaus Children's Hospital, 3100 SW 62nd Ave, Miami, FL 33155, United States.
Alexander G WeilDivision of Neurosurgery, Nicklaus Children's Hospital, 3100 SW 62nd Ave, Miami, FL 33155, United States.
Prasanna JayakarDivision of Neurosurgery, Nicklaus Children's Hospital, 3100 SW 62nd Ave, Miami, FL 33155, United States.
Wei-Chiang LinDepartment of Biomedical Engineering, Florida International University, 10555 West Flagler Street, EC 2600, Miami, FL 33174, United States. Electronic address: wclin@fiu.edu.

Funding

Smart Intraoperative Guidance for Pediatric Brain Tumor SurgeryR15CA173617 · NCI · FLORIDA INTERNATIONAL UNIVERSITY · PI LIN, WEI-CHIANG · 2013 to 2013
$356k
NCI NIH HHS R15 CA173617
6 · The paper itself

Abstract

Complete removal of epileptogenic cortex while preserving eloquent areas is crucial in patients undergoing epilepsy surgery. In this manuscript, the feasibility was explored of developing a new methodology based on dynamic intrinsic optical signal imaging (DIOSI) to intraoperatively detect and differentiate epileptogenic from eloquent cortices in pediatric patients with focal epilepsy. From 11 pediatric patients undergoing epilepsy surgery, negatively-correlated hemodynamic low-frequency oscillations (LFOs, ~ 0.02-0.1 Hz) were observed from the exposed epileptogenic and eloquent cortical areas, as defined by electrocorticography (ECoG), using a DIOSI system. These LFOs were classified into multiple groups in accordance with their unique temporal profiles. Causal relationships within these groups were investigated using the Granger causality method, and 83% of the ECoG-defined epileptogenic cortical areas were found to have a directed influence on one or more cortical areas showing LFOs within the field of view of the imaging system. To understand the physiological origins of LFOs, blood vessel density was compared between epileptogenic and normal cortical areas and a statistically-significant difference (p < 0.05) was detected. The differences in blood-volume and blood-oxygenation dynamics between eloquent and epileptogenic cortices were also uncovered using a stochastic modeling approach. This, in turn, yielded a means by which to separate epileptogenic from eloquent cortex using hemodynamic LFOs. The proposed methodology detects epileptogenic cortices by exploiting the effective connectivity that exists within cortical regions displaying LFOs and the biophysical features contributed by the altered vessel networks within the epileptogenic cortex. It could be used in conjunction with existing technologies for epileptogenic/eloquent cortex localization and thereby facilitate clinical decision-making.

Indexed as

Brain MappingIntraoperative CareMultimodal ImagingAdolescentCerebral CortexChildCraniotomyElectroencephalographyEpilepsyFemaleHumansImage Processing, Computer-AssistedMaleNeural PathwaysEloquentEpileptogenicIntraoperativeOptical intrinsic signal imagingResting state

Identifiers

PMID27104137
PMCPMC4827725

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.