Evidence map›Paper›PMID 41407321›Full record

ReviewBMB reports2026

Multi-scale imaging and recording of in-vivo neural activity.

Min Yong Lee, Hyo Won Kim, Kwang Lee

Abstract readReview
In one paragraph

Review in BMB 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

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.

Min Yong LeeDepartment of Brain Sciences, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu 42988, Korea.
Hyo Won KimDepartment of Brain Sciences, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu 42988, Korea.
Kwang LeeDepartment of Brain Sciences, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu 42988, Korea; Center for Synapse Diversity and Specificity, DGIST, Daegu 42988, Korea; Brain Engineering Convergence Research Center, DGIST, Daegu 42988, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most in vivo neural technologies have been developed to enhance the resolution of subcellular neuronal activity or to expand the spatial range for tracking ensembles of neurons in the brains of live animals. While these approaches offer great promise for understanding cellular and circuit functions in behaving mammals, their cross-sectional observations are inherently limited in accounting for causal interactions of neural dynamics across various scales of brain architecture. Consequently, the simultaneous observation of multi-scale neural activity has emerged as a crucial strategy for achieving a more comprehensive understanding of brain function. These advancements facilitate the simultaneous detection of diverse signals, providing unprecedented insights into dynamic neurophysiological mechanisms within three-dimensional brain structures that remain poorly understood. Here, we review state-of-the-art technologies for the parallel observation of multiple neural targets in vivo. We highlight strategies for simultaneously observing brain signals at multiple resolutions, aiming to bridge the spatiotemporal gaps between microscopic and macroscopic domains of neurobiology. We also emphasize the technical integration of neural tools to concurrently acquire electrophysiological activity and optical imaging, leveraging their complementary strengths. Finally, we discuss the future challenges and potential prospects of multimodal neural techniques, paving the way for a deeper understanding of brain functions and disorders. [BMB Reports 2026; 59(2): 124-136].

Indexed as

BrainNeuronsAnimalsHumans

Identifiers

PMID41407321
PMCPMC12936602

What Socratic 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 Socratic graph.