Evidence map›Paper›PMID 41279822›Full record

ArticlebioRxiv : the preprint server for biology2025

Assessing molecular, cellular and transcriptomic bases of laminar perfusion and cytoarchitecture coupling in the human cortex.

Fanhua Guo, Chenyang Zhao, Ravi R Bhatt, Zixuan Liu, Andy Jeesu Kim, Zidong Yang, Siyi Xu, Kay Jann, Mara Mather, Neda Jahanshad and 1 more

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

5 · Who and what money

Authors and funding

11 authors.

Fanhua GuoMark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID 0009-0003-3968-8455
Chenyang ZhaoMark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Ravi R BhattMark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Zixuan LiuMark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Andy Jeesu KimLeonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.
Zidong YangMark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Siyi XuUniversity of Washington, Seattle, WA, USA.
Kay JannMark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0003-3574-0538
Mara MatherLeonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.
Neda JahanshadMark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Danny Jj WangMark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.

Funding

Validation of Imaging and Blood-based Small Vessel VCID Biomarkers in Multiethnic PopulationUF1NS100614 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KASHANI, AMIR H, RINGMAN, JOHN M · 2021 to 2021
$2.6M
Imaging Cerebral Small Vessels in Vascular Cognitive Impairment and Dementia (VCID)RF1AG084072 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JIANG, XUEJUAN, SHI, YONGGANG · 2023 to 2023
$2.5M
Laminar Perfusion ImagingR01EB032169 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Danny JJ WANG · 2021 to 2026
$2.5M
Multiband ASL for Neurodevelopment StudyR01EB028297 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WANG, DANNY JJ · 2019 to 2023
$2.2M
Non-invasive MRI mapping of BBB water exchange rate and permeabilityR01NS134712 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Danny JJ WANG · 2024 to 2026
$2.1M
Characterization of neurovascular and neurometabolic coupling of the negative BOLD response in humanR01NS121040 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI JungHwan Kim · 2022 to 2026
$1.9M
BBB Permeability Imaging in CADASILR01NS114382 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WANG, DANNY JJ · 2020 to 2024
$1.2M
NOVA PTX Coil for Ultrahigh Field ImagingS10OD025312 · OD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WANG, DANNY JJ · 2018 to 2018
$330k
NIA NIH HHS RF1 AG084072NIBIB NIH HHS R01 EB028297NIBIB NIH HHS R01 EB032169NIH HHS S10 OD025312NINDS NIH HHS R01 NS114382NINDS NIH HHS R01 NS121040NINDS NIH HHS R01 NS134712NINDS NIH HHS UF1 NS100614
6 · The paper itself

Abstract

Understanding how cellular architecture organizes cortical function requires mesoscopic approaches that resolve structure-function coupling in vivo. Here we introduce cerebral blood flow (CBF) and cell-body staining intensity (CSI) similarity index (CCSI), a localized similarity index between the CBF estimates from ultra-high-field 7T arterial spin labeling images and CSI from the BigBrain histology images to serve as a quantitative marker of laminar perfusion-cytoarchitecture coupling. CCSI revealed a reproducible, region-specific alignment between laminar vascular and cellular profiles across the cortex. Going beyond CBF, CCSI selectively tracked mitochondrial respiratory capacity and colocalized with capillary endothelial and mature non-myelination oligodendrocyte populations forming neurovascular interfaces. Transcriptomic enrichment highlighted pathways related to vascular remodeling, oxidative metabolism, and lipid-myelin homeostasis, indicating that CCSI reflects integrated metabolic-structural specialization. At the systems level, CCSI strengthened structure-function gradient correspondence in transmodal cortices, such as the default mode network. Together, these findings establish CCSI as a physiologically grounded, non-invasive marker of perfusion-cytoarchitecture alignment, providing a cross-scale framework linking cortical microstructure, metabolism, and functional organization.

Identifiers

PMID41279822
PMCPMC12637567

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Registered trials

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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.