Evidence map›Paper›PMID 25685709›Full record

ArticleNeuroImage. Clinical2015

Improved nTMS- and DTI-derived CST tractography through anatomical ROI seeding on anterior pontine level compared to internal capsule.

Carolin Weiss, Irada Tursunova, Volker Neuschmelting, Hannah Lockau, Charlotte Nettekoven, Ana-Maria Oros-Peusquens, Gabriele Stoffels, Anne K Rehme, Andrea Maria Faymonville, N Jon Shah and 3 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
8.9field-weighted citation impact, top 2% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 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

13 authors at 2 institutions in 1 country.

Carolin WeissDepartment of Neurosurgery, University of Cologne, Cologne 50924, Germany.
Irada TursunovaDepartment of Neurosurgery, University of Cologne, Cologne 50924, Germany ; Department of Neurosurgery, University of Cologne, Cologne 50924, Germany.
Volker NeuschmeltingDepartment of Neurosurgery, University of Cologne, Cologne 50924, Germany.
Hannah LockauDepartment of Radiology, University of Cologne, Cologne 50937, Germany.
Charlotte NettekovenInstitute of Neuroscience and Medicine, Research Centre Jülich, Jülich 52425, Germany.
Ana-Maria Oros-PeusquensInstitute of Neuroscience and Medicine, Research Centre Jülich, Jülich 52425, Germany.
Gabriele StoffelsInstitute of Neuroscience and Medicine, Research Centre Jülich, Jülich 52425, Germany.
Anne K RehmeInstitute of Neuroscience and Medicine, Research Centre Jülich, Jülich 52425, Germany ; Department of Neurology, University of Cologne, Cologne 50924, Germany.
Andrea Maria FaymonvilleDepartment of Neurosurgery, University of Cologne, Cologne 50924, Germany.
N Jon ShahInstitute of Neuroscience and Medicine, Research Centre Jülich, Jülich 52425, Germany ; Department of Neurology, University Clinic Aachen, RWTH Aachen University, Aachen 52074, Germany.
Karl Josef LangenInstitute of Neuroscience and Medicine, Research Centre Jülich, Jülich 52425, Germany.
Roland GoldbrunnerDepartment of Neurosurgery, University of Cologne, Cologne 50924, Germany.
Christian GrefkesInstitute of Neuroscience and Medicine, Research Centre Jülich, Jülich 52425, Germany ; Department of Neurology, University of Cologne, Cologne 50924, Germany.
University of Cologne · DEForschungszentrum Jülich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imaging of the course of the corticospinal tract (CST) by diffusion tensor imaging (DTI) is useful for function-preserving tumour surgery. The integration of functional localizer data into tracking algorithms offers to establish a direct structure-function relationship in DTI data. However, alterations of MRI signals in and adjacent to brain tumours often lead to spurious tracking results. We here compared the impact of subcortical seed regions placed at different positions and the influences of the somatotopic location of the cortical seed and clinical co-factors on fibre tracking plausibility in brain tumour patients. The CST of 32 patients with intracranial tumours was investigated by means of deterministic DTI and neuronavigated transcranial magnetic stimulation (nTMS). The cortical seeds were defined by the nTMS hot spots of the primary motor area (M1) of the hand, the foot and the tongue representation. The CST originating from the contralesional M1 hand area was mapped as intra-individual reference. As subcortical region of interests (ROI), we used the posterior limb of the internal capsule (PLIC) and/or the anterior inferior pontine region (aiP). The plausibility of the fibre trajectories was assessed by a-priori defined anatomical criteria. The following potential co-factors were analysed: Karnofsky Performance Scale (KPS), resting motor threshold (RMT), T1-CE tumour volume, T2 oedema volume, presence of oedema within the PLIC, the fractional anisotropy threshold (FAT) to elicit a minimum amount of fibres and the minimal fibre length. The results showed a higher proportion of plausible fibre tracts for the aiP-ROI compared to the PLIC-ROI. Low FAT values and the presence of peritumoural oedema within the PLIC led to less plausible fibre tracking results. Most plausible results were obtained when the FAT ranged above a cut-off of 0.105. In addition, there was a strong effect of somatotopic location of the seed ROI; best plausibility was obtained for the contralateral hand CST (100%), followed by the ipsilesional hand CST (>95%), the ipsilesional foot (>85%) and tongue (>75%) CST. In summary, we found that the aiP-ROI yielded better tracking results compared to the IC-ROI when using deterministic CST tractography in brain tumour patients, especially when the M1 hand area was tracked. In case of FAT values lower than 0.10, the result of the respective CST tractography should be interpreted with caution with respect to spurious tracking results. Moreover, the presence of oedema within the internal capsule should be considered a negative predictor for plausible CST tracking.

Indexed as

Brain MappingBrain NeoplasmsDiffusion Tensor ImagingFemaleHumansImage Processing, Computer-AssistedInternal CapsuleMaleNeuronavigationPonsPyramidal TractsTranscranial Magnetic StimulationaiP, anterior inferior ponsANOVA, analysis of varianceAPB, abductor pollicis brevis muscleAUC, area under the curveBOLD, blood oxygenation level dependentCSTCST, corticospinal tractDTIDTI, diffusion tensor imagingFACT, fibre assignment by continuous trackingFA(T), fractional anisotropy (threshold)FMRI, functional magnetic resonance imagingFOV, field-of-viewFractional anisotropyFWE, family-wise errorKPS, Karnofsky performance scaleLDA/C, linear discriminant analysis/coefficientLT, lateral tongue muscle, anterior thirdM1, primary motor cortexMEP, motor evoked potentialMFL, minimal fibre lengthMPRAGE, magnetization prepared rapid acquisition gradient echo (T1 MR sequence)nTMSnTMS, neuronavigated transcranial magnetic stimulationOR, odd's ratioPLIC, posterior limb of the internal capsulePM, plantar musclepxsq, p-value according to Pearson's chi-square test.RMT, resting motor thresholdROIROI, region-of-interestSD, standard deviationSE, standard errorSomatotopicX-sq, X-squared (Pearson's chi-square test)

Identifiers

PMID25685709
PMCPMC4314616
OpenAlexW2038460420

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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.