Evidence map›Paper›PMID 42473457›Full record

ArticleNeuroimage. Reports2026

Targeting grasp-related cortical areas for intracortical brain-machine interfaces.

Tyler R Johnson, Crispin Foli, Emily C Conlan, Katherine A Koenig, Mark J Lowe, William D Memberg, Robert F Kirsch, Eric Z Herring, Stanley F Bazarek, Emily L Graczyk and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuroimage. Reports, 2026. 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

13 authors.

Tyler R JohnsonDepartment of Neurosciences, Cleveland Clinic, Cleveland, OH, USA.
Crispin FoliDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Emily C ConlanDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Katherine A KoenigImaging Sciences, Diagnostics Institute, Cleveland Clinic, Cleveland, OH, USA.
Mark J LoweImaging Sciences, Diagnostics Institute, Cleveland Clinic, Cleveland, OH, USA.
William D MembergDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Robert F KirschDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Eric Z HerringSchool of Medicine, Case Western Reserve University, Cleveland, OH, USA.
Stanley F BazarekSchool of Medicine, Case Western Reserve University, Cleveland, OH, USA.
Emily L GraczykDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Dawn M TaylorDepartment of Neurosciences, Cleveland Clinic, Cleveland, OH, USA.
A Bolu AjiboyeDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Jennifer A SweetCleveland Functional Electrical Stimulation Center of Excellence, Louis Stokes Cleveland VA Medical Center, Cleveland, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to improve intracortical microelectrode array implantation sites for grasp-related motor decoding by integrating anatomical, functional, and vascular imaging with preoperative 3D modeling. A participant with C5 tetraplegia underwent anatomical MRI, diffusion-weighted imaging, and task-based fMRI to identify grasp-related cortical regions while avoiding vasculature and speech-critical areas. Quicktome software was used to refine target selection by integrating structural connectivity and functional activation data. A 3D-printed skull and cortical model enabled preoperative planning, including craniotomy and electrode positioning simulations. Electrode placement was validated postoperatively using neural data collected from the implanted arrays during attempted movements of the arm and hand. Functional imaging identified distinct grasp-related activation in anterior intraparietal area (AIP), ventral premotor cortex (PMv), and inferior frontal gyrus (IFG). Putative AIP was selected based on its strong connectivity with motor cortex and distinct functional activation. Subregions 6v and 6r of PMv, which exhibited robust grasp-related activity and were surgically accessible, were chosen over the posterior IFG region, which extended into a sulcus making implantation difficult. Postoperatively, the arrays enabled high-fidelity decoding of arm/hand movements, achieving a combined classification accuracy of 96%. This study presents a multi-modal approach for improving intracortical electrode placement by combining MRI-based anatomical mapping, fMRI-guided functional localization, connectivity information, and 3D surgical modeling. These findings demonstrate an effective method for identifying surgically feasible grasp network implant locations in a paralyzed individual. This is an essential step toward brain-machine interfaces that enable individuals with spinal cord injury to control devices using grasp-related brain activity.

Indexed as

Brain-computer interface (BCI)Functional electrical stimulation (FES)Functional magnetic resonance imagingGrasp networkIntracortical microelectrode arraysSpinal cord injury (SCI)

Identifiers

PMID42473457
PMCPMC13380800

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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.