Evidence map›Paper›PMID 41000679›Full record

ArticlebioRxiv : the preprint server for biology2025

Aging diminishes interlaminar functional connectivity in the mouse cortical V1 and CA1 hippocampal regions.

Teresa Thai, Steven M Wellman, Naofumi Suematsu, Camila Garcia Padilla, Te-Hsuan Tung, Sadhana Sridhar, Franca Cambi, Takashi D Y Kozai

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

8 authors.

Teresa ThaiDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania.
Steven M WellmanDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania.
Naofumi SuematsuDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania.
Camila Garcia PadillaDepartment of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Te-Hsuan TungDepartment of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Sadhana SridharDepartment of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Franca CambiDepartment of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Takashi D Y KozaiDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID 0000-0002-2507-3295

Funding

Using Electrical Stimulation to Modulation Microglia and the Conversion of Microglia PhenotypesR01NS115707 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KOZAI, TAKASHI DANIEL YOSHIDA · 2020 to 2024
$3.2M
Subcellular Wireless Axons for in vivo Localized Neuronal ExcitationR01NS105691 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Takashi Daniel Yoshida Kozai, Wen Li · 2020 to 2026
$3.1M
Mechanisms of Oligodendrocyte Activity on Chronic Brain Implants and Recording PerformanceR01NS129632 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FRANCA CAMBI, Takashi Daniel Yoshida Kozai · 2023 to 2026
$2.4M
Exploring the role of Oligodendrocytes and progenitors on chronic brain implantsR21NS108098 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KOZAI, TAKASHI DANIEL YOSHIDA · 2018 to 2019
$387k
Cognitive decline in aging and AD: neuroprotection by hypermyelination in FusOLcKOR03AG072218 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CAMBI, FRANCA · 2022 to 2023
$309k
Elucidating Structural and Functional Alterations of CNS Pericytes on Chronic Brain ImplantsF99NS124186 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WELLMAN, STEVEN · 2021 to 2022
$82k
NIA NIH HHS R03 AG072218NINDS NIH HHS F99 NS124186NINDS NIH HHS R01 NS105691NINDS NIH HHS R01 NS115707NINDS NIH HHS R01 NS129632NINDS NIH HHS R21 NS108098
6 · The paper itself

Abstract

Aging disrupts brain network integration and is a significant risk factor for cognitive decline and neurological diseases, yet the circuit-level mechanisms underlying these changes remain unclear. Most previous studies have utilized cross-sectional or acute approaches, limiting insights into the longitudinal dynamics of the neural network. In this study, we chronically recorded laminar electrophysiological activity in both the primary visual cortex (V1) and hippocampal CA1 region of young (2-month-old) and aged (13-month-old) mice over 16 weeks. This approach allowed us to directly assess how aging modulates functional connectivity within hierarchically connected cortical and hippocampal circuits. We found that single-unit spiking activity and the signal-to-noise ratio were largely preserved in aged versus young mice, suggesting intact neuronal firing properties. However, aged mice showed global reductions in local field potential (LFP) power and a selective decrease in coherence across delta, alpha-beta, and gamma frequency bands within and between cortical layers and V1-CA1 pathways, while phase amplitude coupling remained unaffected. Interestingly, population level excitatory activity in CA1 was increased in aged animals. These findings indicate that aging selectively impairs network-level synchrony and temporal coordination in specific frequency bands and regions, with minimal loss of single-neuron function. Our results highlight the necessity of longitudinal, multi-region measurements to uncover the multi-scale vulnerabilities of the aging brain. Understanding the depth- and region-dependent circuit changes will guide strategies to preserve cortical-hippocampal communication and cognitive function in aging, as well as enhance neural interface technologies for older populations.

Indexed as

longitudinal electrophysiologymicroelectrode arraysphase-amplitude coupling

Identifiers

PMID41000679
PMCPMC12458375

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.