Evidence map›Paper›PMID 42012311›Full record

ReviewThe FEBS journal2026

Bringing cellular clarity to the cortical component of ALS with a high-density multi-electrode array system.

Zehra Yagmur Erol, Christopher Quintanilla, P Hande Ozdinler

Abstract readReview
In one paragraph

Review in The FEBS journal, 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

3 authors.

Zehra Yagmur ErolDepartment of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Christopher QuintanillaDepartment of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
P Hande OzdinlerDepartment of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.ORCID https://orcid.org/0000-0003-4125-6013

Funding

Novel Protein Aggregation Inhibitors and Upper Motor Neuron Stabilizers for ALS and other Neurodegenerative DiseasesR01AG061708 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI WILLIAM L KLEIN, Pembe Hande Ozdinler · 2019 to 2026
$10.5M
NIA NIH HHS R01 AG061708NIH-NIA R01AG061708
6 · The paper itself

Abstract

There is selective vulnerability in diseases, requiring the understanding of cell-type specific aspects of neurodegeneration with cellular resolution. Single-cell electrophysiology enables direct investigation of neuronal excitability, ion-channel dynamics, and synaptic transmission with high temporal precision, which is crucial in understanding neuronal circuitries and how they are affected in diseases. Microelectrode arrays (MEAs) have emerged as powerful platforms enabling long-term, parallel, and non-invasive extracellular measurements. The advent of complementary-metal-oxide-semiconductor (CMOS)-based and high-density microelectrode arrays (HD-MEAs) has expanded the spatial and temporal resolution attainable both in vitro and ex vivo. Combined with acute slices, novel cell-culture approaches and three-dimensional (3D) brain organoids, these tools now expedite translational research in disease modeling, neurotoxicity, and pharmacology. Here, we summarise the significance of single-cell electrophysiology, the advantages of the MEA systems, and the latest biomedical and technological advances in this area of research.

Indexed as

Amyotrophic Lateral SclerosisSingle-Cell AnalysisAnimalsHumansMicroelectrodesNeuronsHD‐MEA technologynetwork dynamicsneurodegenerationsingle‐cell electrophysiologyupper motor neurons

Identifiers

PMID42012311
PMCPMC13628522

What OpenQuestion holds

Textmetadata
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.