Evidence map›Paper›PMID 42244780›Full record

ArticlebioRxiv : the preprint server for biology2026

Intrinsic space-time couplings governing multi-scale cortical dynamics.

Alexander D White, Yu Wang, John Kochalka, Yukun Alex Hao, Chelsea Li, Melissa Hernandez, Nadya Andini, Ki Eun Pyo, Wendy Wenderski, Anish Mitra and 6 more

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

16 authors.

Alexander D WhiteDepartment of Bioengineering, Stanford University, Stanford CA 94305, USA.ORCID 0000-0002-5387-310X
Yu WangDepartment of Bioengineering, Stanford University, Stanford CA 94305, USA.
John KochalkaDepartment of Bioengineering, Stanford University, Stanford CA 94305, USA.
Yukun Alex HaoDepartment of Bioengineering, Stanford University, Stanford CA 94305, USA.
Chelsea LiNeurosciences Graduate Program, Stanford University, Stanford, CA94305, USA.
Melissa HernandezDepartment of Bioengineering, Stanford University, Stanford CA 94305, USA.
Nadya AndiniDepartment of Bioengineering, Stanford University, Stanford CA 94305, USA.
Ki Eun PyoDepartment of Bioengineering, Stanford University, Stanford CA 94305, USA.
Wendy WenderskiDepartment of Bioengineering, Stanford University, Stanford CA 94305, USA.
Anish MitraDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford CA 94305, USA.
Barsin Eshaghi GharagozDepartment of Bioengineering, Stanford University, Stanford CA 94305, USA.
Chandan KadurDepartment of Bioengineering, Stanford University, Stanford CA 94305, USA.
Surya GanguliDepartment of Applied Physics, Stanford University, Stanford CA 94305, USA.
Thomas R ClandininDepartment of Neurobiology, Stanford University, Stanford CA 94305, USA.
Michael Z LinDepartment of Bioengineering, Stanford University, Stanford CA 94305, USA.
Karl DeisserothDepartment of Bioengineering, Stanford University, Stanford CA 94305, USA.

Funding

Training CoreP50DA042012 · NIDA · STANFORD UNIVERSITY · PI Karl A. Deisseroth · 2017 to 2026
$27.1M
Resource Core 3 - Teaching/Training/Dissemination Core (TTDC)U19NS118284 · NINDS · STANFORD UNIVERSITY · PI DEISSEROTH, KARL A. · 2021 to 2025
$18.1M
Reexamining the Role of Dendrites in Neuronal FunctionRM1NS132981 · NINDS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Jayeeta Basu, RAFAEL YUSTE · 2023 to 2026
$10.3M
OPTICAL NEUROMODULATION TECHNOLOGY FOR LONG TIMESCALESR01MH086373 · NIMH · STANFORD UNIVERSITY · PI DEISSEROTH, KARL A. · 2010 to 2025
$9.1M
Stanford Vision Research CoreP30EY026877 · NEI · STANFORD UNIVERSITY · PI Jeffrey L Goldberg · 2017 to 2026
$8.0M
Optimization of genetically encoded voltage and neurotransmitter indicators for multiwavelength in vivo analysis of brain circuitsUM1MH136462 · NIMH · MAX PLANCK FLORIDA CORPORATION · PI Michael Z. Lin, Kaspar Podgorski · 2024 to 2026
$6.3M
Dissecting Neural Circuit Computations in the Peripheral Visual SystemR01EY022638 · NEI · STANFORD UNIVERSITY · PI CLANDININ, THOMAS ROBERT · 2012 to 2021
$3.5M
NEI NIH HHS P30 EY026877NEI NIH HHS R01 EY022638NIDA NIH HHS P50 DA042012NIMH NIH HHS R01 MH086373NIMH NIH HHS UM1 MH136462NINDS NIH HHS RM1 NS132981NINDS NIH HHS U19 NS118284
6 · The paper itself

Abstract

The neocortex covers a vast expanse of the mammalian brain and represents the principal target of clinical neuromodulation; however, the global principles of neocortical operation have been challenging to identify. In this regard, a limitation has been tracking activity with cortex-wide spatial coverage while maintaining access to the millisecond temporal resolution of neuronal firing- a crucial combination not achievable with existing recording technologies. Here we introduce and apply conformal immersion microscopy, enabling activity tracking across the entire dorsal cortex with millisecond temporal resolution and 100 μm spatial resolution (thus spanning five orders of magnitude in time and four in space), at sufficient sensitivity to resolve single-trial activity beyond 100 Hz. Drawing on physics-based frameworks, we apply multiscale analysis to identify a fundamental frequency-dependent coherence length that partitions the neocortex into discrete dynamical elements with well-defined propagation speeds, boundaries, and scale-invariant dynamics. These dynamical elements were found to be conserved from sub-threshold to suprathreshold (neuronal firing) regimes of neural activity, and were robust to diverse pharmacological, optogenetic, and genetic interventions. However, it was possible to identify and establish conditions allowing elemental boundaries to be selectively overridden, and to allow perturbation of specific elements even while conserving global dynamical architecture. Together, these findings enable measurement of intrinsic spatiotemporal parameters governing the dynamical organization of neocortex, which may provide a foundation for mechanistically-informed basic and translational understanding.

Identifiers

PMID42244780
PMCPMC13232140

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.