Evidence map›Paper›PMID 40251821›Full record

ArticleCNS neuroscience & therapeutics2025

Quantitative Cortex-Based Mapping With Hybrid

Chao Zhang, Zhenming Wang, Yihe Wang, Hang Cao, Liankun Ren, Tao Yu, Yong-Zhi Shan, Xiaosong He, John S Duncan, Jie Lu and 2 more

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Frontiers in medicine · 2026
    Article
  2. Review
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

12 authors.

Chao ZhangDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-1083-6587
Zhenming WangBeijing Municipal Geriatric Medical Research Center, Beijing, China.
Yihe WangDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Hang CaoDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Liankun RenDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Tao YuClinical Research Center for Epilepsy, Capital Medical University, Beijing, China.ORCID 0000-0001-6885-7105
Yong-Zhi ShanDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-5510-1026
Xiaosong HeDepartment of Psychology, University of Science and Technology of China, Hefei, Anhui, China.
John S DuncanDepartment of Clinical & Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK.
Jie LuClinical Research Center for Epilepsy, Capital Medical University, Beijing, China.ORCID 0000-0003-0425-3921
Penghu WeiDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Guoguang ZhaoDepartment of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.

Funding

Beijing Municipal Health Commission 11000022T000000444685Beijing Municipal Natural Science Foundation 22L20361Brain-Inspired Artificial Intelligence Key ProjectNational Natural Science Foundation of China 81871009National Natural Science Foundation of China 82030037Science and Technology Innovation 2030-Brain Science 2021ZD0201801
6 · The paper itself

Abstract

objectivesLocalization of the network underlying drug-resistant focal epilepsy in individuals considering surgical treatment with unremarkable MRI is challenging. Concordance rates of 40%-69% have been reported with FDG-PET image statistical parametric mapping (SPM). We investigated the efficacy of postprocessing specific to cortices by cortex-based mapping (CBM) on hybrid PET/MR images with healthy subjects to localize sites of seizure onset.

methodsWe retrospectively examined the PET/MR images of 42 MRI-negative individuals with drug-resistant focal epilepsy who had surgery and 23 healthy subjects. Visual interpretation of standardized uptake value ratios (SUVRs), voxelwise mapping with a two-sample t-test of SUVRs (t-map, SPM), and the proposed z-transformation of the SUVR of patients compared with those of healthy subjects acquired with CBM were compared with the surgical field. Kappa tests, conclusive concordance (CC), partial concordance (PC), and discordance were estimated, with McNemar's test determining the superiority.

resultsAfter an average follow-up of 37.2 months, in people who were seizure-free (n = 31; functionally silent cortices in 26), the CC rate with CBM was 87.10%. Performance was CBM (CC:PC = 27:1), t-map (CC:PC = 15:1), and SUVR (CC:PC = 0:17). The sensitivity, specificity, and kappa scores were 0.87, 0.91, and 0.717 (p < 0.001) for CBM and 0.48, 0.73, and 0.153 (p = 0.288) for t-maps, respectively. The CBM approach was superior to the t-map (p < 0.001) in most extratemporal epilepsies. The average Pearson's r of CBM and t-map to artifacts was 0.08 ± 0.02 and 0.33 ± 0.02, respectively.

interpretationBy eliminating intersubject morphological variations and explicit statistics at the cortex, CBM localized the seizure origin in MRI-negative epilepsy patients with superior efficiency.

Indexed as

Brain MappingCerebral CortexDrug Resistant EpilepsyMagnetic Resonance ImagingPositron-Emission TomographyAdolescentAdultFemaleFluorodeoxyglucose F18HumansMaleMiddle AgedMultimodal ImagingRetrospective StudiesYoung AdultFluorodeoxyglucose F18evaluationneurosurgeryoutcomespostprocessingseizures

Identifiers

PMID40251821
PMCPMC12008173

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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.