Evidence map›Paper›PMID 39484463›Full record

ArticlebioRxiv : the preprint server for biology2024

Proper reference selection and re-referencing to mitigate bias in single pulse electrical stimulation data.

Harvey Huang, Joshua A Adkinson, Michael A Jensen, Mohammed Hasen, Isabel A Danstrom, Kelly R Bijanki, Nicholas M Gregg, Kai J Miller, Sameer A Sheth, Dora Hermes and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Harvey HuangMayo Clinic, Medical Scientist Training Program.ORCID 0000-0002-0540-697X
Joshua A AdkinsonBaylor College of Medicine, Department of Neurosurgery.ORCID 0000-0002-8751-2089
Michael A JensenMayo Clinic, Medical Scientist Training Program.ORCID 0000-0002-5191-7244
Mohammed HasenBaylor College of Medicine, Department of Neurosurgery.ORCID 0009-0009-9902-6609
Isabel A DanstromBaylor College of Medicine, Department of Neurosurgery.ORCID 0000-0002-9318-9652
Kelly R BijankiBaylor College of Medicine, Department of Neurosurgery.ORCID 0000-0003-1624-8767
Nicholas M GreggMayo Clinic, Department of Neurology.ORCID 0000-0002-6151-043X
Kai J MillerMayo Clinic, Department of Neurologic Surgery.ORCID 0000-0002-6687-6422
Sameer A ShethBaylor College of Medicine, Department of Neurosurgery.ORCID 0000-0001-8770-8965
Dora HermesMayo Clinic, Department of Physiology and Biomedical Engineering.ORCID 0000-0002-8683-8909
Eleonora BartoliBaylor College of Medicine, Department of Neurosurgery.ORCID 0000-0002-5824-5065

Funding

Deep brain stimulation for depression using directional current steering an individualized network targetingUH3NS103549 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GOODMAN, WAYNE K, POURATIAN, NADER · 2017 to 2025
$8.7M
MSTP at Mayo Clinic RochesterT32GM145408 · NIGMS · MAYO CLINIC ROCHESTER · PI SCOTT H KAUFMANN, LISA A SCHIMMENTI · 2023 to 2026
$4.7M
An Ecosystem of Technology and Protocols for Adaptive Neuromodulation Research in HumansU01NS128612 · NINDS · MAYO CLINIC ROCHESTER · PI Peter Brunner, Kai Miller · 2022 to 2026
$4.5M
Mapping and Modulating the Spatiotemporal dynamics of socio-affective processing.R01MH127006 · NIMH · BAYLOR COLLEGE OF MEDICINE · PI BIJANKI, KELLY ROWE · 2021 to 2025
$3.2M
Electrical stimulation to control feedback modulation of perceptionR01EY035533 · NEI · MAYO CLINIC ROCHESTER · PI Dora Hermes, Kendrick Norris Kay · 2023 to 2026
$2.2M
CRCNS: Processing speed in the human connectome across the lifespanR01MH122258 · NIMH · MAYO CLINIC ROCHESTER · PI HERMES, DORA · 2019 to 2023
$1.8M
NEI NIH HHS R01 EY035533NIGMS NIH HHS T32 GM145408NIMH NIH HHS R01 MH122258NIMH NIH HHS R01 MH127006NINDS NIH HHS U01 NS128612NINDS NIH HHS UH3 NS103549
6 · The paper itself

Abstract

Single pulse electrical stimulation experiments produce pulse-evoked potentials used to infer brain connectivity. The choice of recording reference for intracranial electrodes remains non-standardized and can significantly impact data interpretation. When the reference electrode is affected by stimulation or evoked brain activity, it can contaminate the pulse-evoked potentials recorded at all other electrodes and influence interpretation of findings. We highlight this specific issue in intracranial EEG datasets from two subjects recorded at separate institutions. We present several intuitive metrics to detect the presence of reference contamination and offer practical guidance on different mitigation strategies. Either switching the reference electrode or re-referencing to an adjusted common average effectively mitigated the reference contamination issue, as evidenced by increased variability in pulse-evoked potentials across the brain. Overall, we demonstrate the importance of clear quality checks and preprocessing steps that should be performed before analysis of single pulse electrical stimulation data.

Indexed as

brain connectivitycortico-cortical evoked potentialsIntracranial EEGpulse-evoked potentialsre-referencingsingle pulse electrical stimulationStereo-EEG

Identifiers

PMID39484463
PMCPMC11526894

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.