Evidence map›Paper›PMID 42368020›Full record

ArticlebioRxiv : the preprint server for biology2026

Intracortical BCI Performance is Robust to Changes in Attentional Load During Dual-Tasking.

E Canario, C Shearer, M Akcakaya, D Weber, S Chase, J L Collinger

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

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

6 authors.

E CanarioRehab Neural Engineering Labs, University of Pittsburgh.ORCID 0000-0001-9324-9101
C ShearerDept. of Physical Medicine and Rehabilitation, University of Pittsburgh.
M AkcakayaDept. of Electrical & Computer Engineering, University of Pittsburgh.ORCID 0000-0001-5094-1931
D WeberDept. of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0002-9782-3497
S ChaseNeuroscience Institute, Carnegie Mellon University.ORCID 0000-0003-4450-6313
J L CollingerRehab Neural Engineering Labs, University of Pittsburgh.ORCID 0000-0002-4517-5395

Funding

A Biomimetic Approach Towards a Dexterous NeuroprosthesisUH3NS107714 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BONINGER, MICHAEL L. · 2018 to 2023
$7.1M
Quantifying neural variability and learning during real world brain-computer interface useR01NS121079 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Jennifer L. Collinger · 2022 to 2026
$3.0M
NINDS NIH HHS R01 NS121079NINDS NIH HHS UH3 NS107714
6 · The paper itself

Abstract

High performance intracortical brain-computer interface (iBCI) control has been demonstrated in research settings, but performance can still vary within and between sessions. One potential source of this variability is the change in attentional load that comes from processing naturally occurring distractors such as thoughts, sounds, fatigue, or pain. To improve the consistency of iBCI performance in real-world environments where this sort of multi-tasking is inevitable, we must understand how shifts in attention can impact performance. Here we examined the effect of attentional load on iBCI performance and movement-related neural activity using a 2D cursor translation + click iBCI task paired with an N-Back working memory task to increase attentional load during dual-task performance. Two participants (P2 and P4) with tetraplegia completed the study while enrolled in a long-term clinical trial of an iBCI device (NCT1894802). Common neural correlates of attention (theta and alpha band power) were measured with simultaneously recorded scalp electroencephalography (EEG). While the EEG recordings and difficulty ratings suggested increased attentional load during dual tasking, iBCI performance was quite robust across the various dual tasking conditions. One participant, P2, experienced a small but significant increase in trial completion time and normalized path length during the mild attentional load condition. Signal quality differences between the two participants may have impacted the results, as P2 had lower signal quality and was therefore likely more vulnerable to attentional load. P4's higher signal quality likely allowed him to accommodate increased attentional load without a drop in performance. Overall, iBCI performance appears to be robust to attentional load, but the complex trends observed here reflect a need for continued investigation of BCI use under different cognitive states to elucidate potential challenges and compensatory mechanisms across participants.

Identifiers

PMID42368020
PMCPMC13307946

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.