Evidence map›Paper›PMID 42862397›Full record

ArticleBrain topography2026

Stable Thalamic Topography Across Perinatal Development: a Diffusion MRI Study.

Hui Ji, Zhexin Wu, Anna Speckert, Ruth Tuura, Cornelia Hagmann, Walter Knirsch, Andras Jakab

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In one paragraph

Article in Brain topography, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Hui JiCenter for MR Research, University Children's Hospital Zurich, Lenggstrasse 30, Zurich, CH-8008, Switzerland.
Zhexin WuDepartment of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland.
Anna SpeckertCenter for MR Research, University Children's Hospital Zurich, Lenggstrasse 30, Zurich, CH-8008, Switzerland.
Ruth TuuraCenter for MR Research, University Children's Hospital Zurich, Lenggstrasse 30, Zurich, CH-8008, Switzerland.
Cornelia HagmannChildren's Research Center, University Children's Hospital Zurich, Zurich, Switzerland.
Walter KnirschChildren's Research Center, University Children's Hospital Zurich, Zurich, Switzerland.
Andras JakabCenter for MR Research, University Children's Hospital Zurich, Lenggstrasse 30, Zurich, CH-8008, Switzerland. andras.jakab@kispi.uzh.ch.

Funding

Swiss National Science Foundation 231865Universität Zürich University Research Priority Program (URPP) "Adaptive Brain Circuits in Development and Learning (AdaBD)"
6 · The paper itself

Abstract

The thalamus is critical relay hub of brain connectivity, yet its topographical organization during the early human brain development remains incompletely understood. Our study characterized the critical perinatal developmental period by optimizing and applying a clustering framework to parcellate the neonatal thalamus and delineate its developmental trajectory.Thalamus topography was studied using Gaussian Mixture Model (GMM) based clustering applied to voxel-level fiber orientation distribution functions, obtained from diffusion MRI data. Three perinatal datasets were used: term-born infants from developing human connectome project (dHCP, n = 68, age at MRI: 37.4-44.7 weeks), dHCP preterm infant data (n = 48, 29.3-37.4 weeks) and a neonatal control dataset from Zürich (n = 42, 39.0-48.7 weeks). Clustering was optimized using an adult test-retest diffusion MRI dataset (n = 30).We subdivided the thalamus into seven clusters, where GMM showed moderate reproducibility (test-retest overlap ranged from 0.65 to 0.73), and comparable anatomical alignment with digital Morel atlas. Robust regression analysis revealed significant age-related volume increases in absolute volumes across thalamic clusters (FDR-corrected p < 0.001). Topography by means of relative volumes remained stable, suggesting preservation of thalamic topography during late gestation. Two clusters, closely corresponding to the ventral-anterior nucleus and pulvinar group, showed moderate age-related topographical changes (FDR-corrected p < 0.05, adjusted R²=0.039 and 0.101). Group-wise analysis of harmonized volumes revealed no significant group effects between preterm and term born neonates. No sex differences were observed.Our findings demonstrate that thalamic topography is largely established across the perinatal period; however, the lack of systematic term-equivalent scans in preterm infants limits our ability to draw conclusions about the effects of prematurity. The interpretation might be limited by the indirect nature of diffusion MRI features and the moderate reproducibility of the clustering techniques.

Indexed as

Diffusion Magnetic Resonance ImagingThalamusFemaleGestational AgeHumansInfant, NewbornInfant, PrematureMaleNeurodevelopmentReproducibility of ResultsDevelopmentDiffusion MRINewbornsPreterm birthThalamus

Identifiers

PMID42862397
PMCPMC13658305

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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.