Evidence map›Paper›PMID 36007822›Full record

ArticleNeuroImage2022

Thalamic nuclei atrophy at high and heterogenous rates during cognitively unimpaired human aging.

Eun Young Choi, Lu Tian, Jason H Su, Matthew T Radovan, Thomas Tourdias, Tammy T Tran, Alexandra N Trelle, Elizabeth Mormino, Anthony D Wagner, Brian K Rutt

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% of its field
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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Thalamic Nuclei Atrophy in Type 1 Diabetes Mellitus Across Disease Duration.Journal of magnetic resonance imaging : JMRI · 2026
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  12. Review
  13. Lifespan development of thalamic nuclei and characterizing thalamic nuclei abnormalities in schizophrenia using normative modeling.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Article
  14. Article
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  19. Normative modeling of thalamic nuclear volumes.medRxiv : the preprint server for health sciences · 2024
    Article
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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

10 authors at 3 institutions in 2 countries.

Eun Young ChoiDepartment of Neurosurgery, Stanford University, 300 Pasteur Drive, MC5327, Stanford, CA 94305, USA.
Lu TianDepartment of Biomedical Data Science, 1265 Welch Road, MC5464, Stanford, CA 94305, USA.
Jason H SuDepartment of Radiology, Stanford University, 300 Pasteur Drive, MC5488, Stanford, CA 94305, USA; Department of Electrical Engineering, Stanford University, 350 Jane Stanford Way, MC9505, Stanford, CA 94305, USA.
Matthew T RadovanDepartment of Computer Science, Stanford University, 353 Jane Stanford Way, MC9025, Stanford, CA 94305, USA.
Thomas TourdiasDepartment of Neuroradiology, Bordeaux University Hospital, Bordeaux, France; INSERM U1215, Neurocentre Magendie, University of Bordeaux, France.
Tammy T TranDepartment of Psychology, Stanford University, Building 420, MC2130, Stanford, CA 94305, USA.
Alexandra N TrelleDepartment of Psychology, Stanford University, Building 420, MC2130, Stanford, CA 94305, USA.
Elizabeth MorminoDepartment of Neurology and Neurological Sciences, Stanford, University, 300 Pasteur Drive, MC5235, Stanford, CA 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, 290 Jane Stanford Way, Stanford, CA 94305, USA.
Anthony D WagnerDepartment of Psychology, Stanford University, Building 420, MC2130, Stanford, CA 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, 290 Jane Stanford Way, Stanford, CA 94305, USA.
Brian K RuttDepartment of Radiology, Stanford University, 300 Pasteur Drive, MC5488, Stanford, CA 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, 290 Jane Stanford Way, Stanford, CA 94305, USA. Electronic address: brutt@stanford.edu.
Stanford University · USNeurosciences Institute · USUniversité de Bordeaux · FR

Funding

Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
Stanford Alzheimer's Disease Research CenterAdmin Supp: Developing iPSC models for AD and PDP30AG066515 · NIA · STANFORD UNIVERSITY · PI LU TIAN · 2020 to 2026
$29.0M
Central thalamic stimulation for traumatic brain injuryUH3NS095554 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI BUTSON, CHRISTOPHER R, GIACINO, JOSEPH THOMAS · 2015 to 2021
$6.9M
Effects of attention and goal-state lapses on memory in healthy and pathological agingR01AG065255 · NIA · STANFORD UNIVERSITY · PI WAGNER, ANTHONY D · 2020 to 2024
$3.7M
High-resolution imaging of hippocampal mechanisms in age-related memory decline.R01AG048076 · NIA · STANFORD UNIVERSITY · PI WAGNER, ANTHONY D · 2014 to 2018
$1.9M
Next Generation 7T MRI Platform Upgrade with Parallel Transmit CapabilitiesS10RR026351 · NCRR · STANFORD UNIVERSITY · PI RUTT, BRIAN KEITH · 2011 to 2011
$600k
Age-related decline in interactions between context, cognitive control, and memoryR21AG058111 · NIA · STANFORD UNIVERSITY · PI WAGNER, ANTHONY D · 2018 to 2019
$432k
The impact of early medial temporal lobe Tau in human cognitive agingR21AG058859 · NIA · STANFORD UNIVERSITY · PI MORMINO, ELIZABETH · 2018 to 2019
$432k
"Eye-tracking and Multimodal Biomarkers to Enhance Detection of Preclinical Alzheimer's Disease in Diverse Populations."K99AG075184 · NIA · STANFORD UNIVERSITY · PI TRELLE, ALEXANDRA NICOLE · 2022 to 2023
$263k
NCATS NIH HHS UL1 TR003142NCRR NIH HHS S10 RR026351NIA NIH HHS K99 AG075184NIA NIH HHS P30 AG066515NIA NIH HHS R01 AG048076NIA NIH HHS R01 AG065255NIA NIH HHS R21 AG058111NIA NIH HHS R21 AG058859NINDS NIH HHS UH3 NS095554
6 · The paper itself

Abstract

The thalamus is a central integration structure in the brain, receiving and distributing information among the cerebral cortex, subcortical structures, and the peripheral nervous system. Prior studies clearly show that the thalamus atrophies in cognitively unimpaired aging. However, the thalamus is comprised of multiple nuclei involved in a wide range of functions, and the age-related atrophy of individual thalamic nuclei remains unknown. Using a recently developed automated method of identifying thalamic nuclei (3T or 7T MRI with white-matter-nulled MPRAGE contrast and THOMAS segmentation) and a cross-sectional design, we evaluated the age-related atrophy rate for 10 thalamic nuclei (AV, CM, VA, VLA, VLP, VPL, pulvinar, LGN, MGN, MD) and an epithalamic nucleus (habenula). We also used T1-weighted images with the FreeSurfer SAMSEG segmentation method to identify and measure age-related atrophy for 11 extra-thalamic structures (cerebral cortex, cerebral white matter, cerebellar cortex, cerebellar white matter, amygdala, hippocampus, caudate, putamen, nucleus accumbens, pallidum, and lateral ventricle). In 198 cognitively unimpaired participants with ages spanning 20-88 years, we found that the whole thalamus atrophied at a rate of 0.45% per year, and that thalamic nuclei had widely varying age-related atrophy rates, ranging from 0.06% to 1.18% per year. A functional grouping analysis revealed that the thalamic nuclei involved in cognitive (AV, MD; 0.53% atrophy per year), visual (LGN, pulvinar; 0.62% atrophy per year), and auditory/vestibular (MGN; 0.64% atrophy per year) functions atrophied at significantly higher rates than those involved in motor (VA, VLA, VLP, and CM; 0.37% atrophy per year) and somatosensory (VPL; 0.32% atrophy per year) functions. A proximity-to-CSF analysis showed that the group of thalamic nuclei situated immediately adjacent to CSF atrophied at a significantly greater atrophy rate (0.59% atrophy per year) than that of the group of nuclei located farther from CSF (0.36% atrophy per year), supporting a growing hypothesis that CSF-mediated factors contribute to neurodegeneration. We did not find any significant hemispheric differences in these rates of change for thalamic nuclei. Only the CM thalamic nucleus showed a sex-specific difference in atrophy rates, atrophying at a greater rate in male versus female participants. Roughly half of the thalamic nuclei showed greater atrophy than all extra-thalamic structures examined (0% to 0.54% per year). These results show the value of white-matter-nulled MPRAGE imaging and THOMAS segmentation for measuring distinct thalamic nuclei and for characterizing the high and heterogeneous atrophy rates of the thalamus and its nuclei across the adult lifespan. Collectively, these methods and results advance our understanding of the role of thalamic substructures in neurocognitive and disease-related changes that occur with aging.

Indexed as

Thalamic NucleiThalamusAdultAgedAged, 80 and overAgingAtrophyCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedYoung AdultAtrophyCognitively unimpaired agingThalamic nucleiThalamusTHOMAS segmentationWhite matter nulled imaging

Identifiers

PMID36007822
PMCPMC9787236
OpenAlexW4292821316

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.