Evidence map›Paper›PMID 39671181›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Hierarchical gradients of multiple timescales in the mammalian forebrain.

Min Song, Eun Ju Shin, Hyojung Seo, Alireza Soltani, Nicholas A Steinmetz, Daeyeol Lee, Min Whan Jung, Se-Bum Paik

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Temporal and Spatial Scales of Human Resting-State Cortical Activity across the Lifespan.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Consistent Hierarchies of Single-Neuron Timescales in Mice, Macaques, and Humans.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Min Song *Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.ORCID 0000-0002-9485-2321
Eun Ju Shin *Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.ORCID 0000-0003-3901-498X
Hyojung SeoDepartment of Psychiatry, Yale University, New Haven, CT 06520.
Alireza SoltaniDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755.ORCID 0000-0003-4386-8486
Nicholas A SteinmetzDepartment of Neurobiology and Biophysics, University of Washington, Seattle, WA 98195.ORCID 0000-0001-7029-2908
Daeyeol LeeZanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD 21218.ORCID 0000-0003-3474-019X
Min Whan JungDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.ORCID 0000-0002-4145-600X
Se-Bum PaikDepartment of Brain and Cognitive Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.ORCID 0000-0002-4078-305X

Funding

CRCNS Research Proposal: Cortico-amygdalar substrates of adaptive learningR01DA047870 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Alicia Izquierdo, Alireza Soltani · 2018 to 2026
$4.1M
Neural basis of planningR01MH137210 · NIMH · JOHNS HOPKINS UNIVERSITY · PI Wei Ji Ma, Veit Stuphorn · 2024 to 2026
$2.4M
Corticostriatal mechanisms of causal inference and temporal credit assignment.RF1NS118463 · NINDS · YALE UNIVERSITY · PI SEO, HYOJUNG · 2020 to 2020
$2.2M
Corticostriatal mechanisms of causal inference and temporal credit assignment.R01NS118463 · NINDS · YALE UNIVERSITY · PI SEO, HYOJUNG · 2023 to 2024
$1.4M
HHS | NIH | National Institute of Mental Health (NIMH) MH137210HHS | NIH | National Institute on Drug Abuse (NIDA) DA047870Institute for Basic Science (IBS) IBS-R002-A1Korea Advanced Institute of Science and Technology (KAIST) Singularity Professor Research ProjectNational Research Foundation of Korea (NRF) NRF-2022R1A2C3008991NIDA NIH HHS R01 DA047870NIMH NIH HHS R01 MH137210NINDS NIH HHS R01 NS118463NINDS NIH HHS RF1 NS118463
6 · The paper itself

Abstract

Many anatomical and physiological features of cortical circuits, ranging from the biophysical properties of synapses to the connectivity patterns among different neuron types, exhibit consistent variation along the hierarchical axis from sensory to association areas. Notably, the temporal correlation of neural activity at rest, known as the intrinsic timescale, increases systematically along this hierarchy in both primates and rodents, analogous to the increasing scale and complexity of spatial receptive fields. However, how the timescales for task-related activity vary across brain regions and whether their hierarchical organization appears consistently across different mammalian species remain unexplored. Here, we show that both the intrinsic timescale and those of task-related activity follow a similar hierarchical gradient in the cortices of monkeys, rats, and mice. We also found that these timescales covary similarly in both the cortex and basal ganglia, whereas the timescales of thalamic activity are shorter than cortical timescales and do not conform to the hierarchical order predicted by their cortical projections. These results suggest that the hierarchical gradient of cortical timescales might represent a universal feature of intracortical circuits in the mammalian brain.

Indexed as

ProsencephalonAnimalsMaleMiceRatsThalamusTime Factorscortical hierarchycortical layerdecision-makingthalamus

Identifiers

PMID39671181
PMCPMC11665873

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.