Evidence map›Paper›PMID 38582026›Full record

ArticleMultiple sclerosis and related disorders2024

Hippocampal subfields and thalamic nuclei associations with clinical outcomes in multiple sclerosis: An ultrahigh field MRI study.

Tales Santini, Chenyi Chen, Wen Zhu, Jr-Jiun Liou, Elizabeth Walker, Shruthi Venkatesh, Nadim Farhat, Andrea Sajewski, Salem Alkhateeb, Manojkumar Saranathan and 2 more

Abstract read
In one paragraph

Article in Multiple sclerosis and related disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

12 authors.

Tales SantiniDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States.
Chenyi ChenDepartment of Neurology, University of Pittsburgh, Pittsburgh, PA, United States.
Wen ZhuDepartment of Neurology, University of Pittsburgh, Pittsburgh, PA, United States.
Jr-Jiun LiouDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States.
Elizabeth WalkerDepartment of Neurology, University of Pittsburgh, Pittsburgh, PA, United States.
Shruthi VenkateshDepartment of Neurology, University of Pittsburgh, Pittsburgh, PA, United States.
Nadim FarhatDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States.
Andrea SajewskiDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States.
Salem AlkhateebDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States.
Manojkumar SaranathanUniversity of Massachusetts Chan Medical School, Worcester, MA, United States.
Zongqi XiaDepartment of Neurology, University of Pittsburgh, Pittsburgh, PA, United States. Electronic address: zxia1@post.harvard.edu.
Tamer S IbrahimDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States; Department of Radiology, University of Pittsburgh, Pittsburgh, PA, United States. Electronic address: tibrahim@pitt.edu.

Funding

Leveraging electronic health records to optimize treatment selection and response in multiple sclerosisR01NS098023 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Zongqi Xia · 2016 to 2026
$4.6M
Imaging Advancements in Small Vessel and CSF Flow Pathophysiology of Pre-clinical Alzheimer's DiseaseR01AG063525 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AIZENSTEIN, HOWARD J, COHEN, ANN D. · 2019 to 2023
$3.7M
High Performance Imaging for Assessment of Small Vessel Disease in Older Adults with DepressionR01MH111265 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AIZENSTEIN, HOWARD J, IBRAHIM, TAMER S · 2016 to 2020
$3.6M
Population Neuroscience of Aging and Alzheimer's Disease (PNA)T32AG055381 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Caterina Rosano, Andrea L Rosso · 2018 to 2026
$2.7M
Real-world impact of the COVID-19 pandemic in people with multiple sclerosisR01NS124882 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI XIA, ZONGQI · 2022 to 2024
$1.2M
Bioengineering in Psychiatry Training ProgramT32MH119168 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AIZENSTEIN, HOWARD J, IBRAHIM, TAMER S · 2019 to 2023
$1.1M
NIA NIH HHS R01 AG063525NIA NIH HHS T32 AG055381NIMH NIH HHS R01 MH111265NIMH NIH HHS T32 MH119168NINDS NIH HHS R01 NS098023NINDS NIH HHS R01 NS124882
6 · The paper itself

Abstract

backgroundPrevious studies have shown that thalamic and hippocampal neurodegeneration is associated with clinical decline in Multiple Sclerosis (MS). However, contributions of the specific thalamic nuclei and hippocampal subfields require further examination.

objectiveUsing 7 Tesla (7T) magnetic resonance imaging (MRI), we investigated the cross-sectional associations between functionally grouped thalamic nuclei and hippocampal subfields volumes and T1 relaxation times (T1-RT) and subsequent clinical outcomes in MS.

methodsHigh-resolution T1-weighted and T2-weighted images were acquired at 7T (n=31), preprocessed, and segmented using the Thalamus Optimized Multi Atlas Segmentation (THOMAS, for thalamic nuclei) and the Automatic Segmentation of Hippocampal Subfields (ASHS, for hippocampal subfields) packages. We calculated Pearson correlations between hippocampal subfields and thalamic nuclei volumes and T1-RT and subsequent multi-modal rater-determined and patient-reported clinical outcomes (∼2.5 years after imaging acquisition), correcting for confounders and multiple tests.

resultsSmaller volume bilaterally in the anterior thalamus region correlated with worse performance in gait function, as measured by the Patient Determined Disease Steps (PDDS). Additionally, larger volume in most functional groups of thalamic nuclei correlated with better visual information processing and cognitive function, as measured by the Symbol Digit Modalities Test (SDMT). In bilateral medial and left posterior thalamic regions, there was an inverse association between volumes and T1-RT, potentially indicating higher tissue degeneration in these regions. We also observed marginal associations between the right hippocampal subfields (both volumes and T1-RT) and subsequent clinical outcomes, though they did not survive correction for multiple testing.

conclusionUltrahigh field MRI identified markers of structural damage in the thalamic nuclei associated with subsequently worse clinical outcomes in individuals with MS. Longitudinal studies will enable better understanding of the role of microstructural integrity in these brain regions in influencing MS outcomes.

Indexed as

HippocampusMagnetic Resonance ImagingMultiple SclerosisThalamic NucleiAdultCross-Sectional StudiesFemaleHumansMaleMiddle Aged7 teslaClinical outcomesHippocampusMagnetic resonance imagingMultiple sclerosisNucleiSubfieldsT1 relaxation timeThalamusUltrahigh fieldVolumes

Identifiers

PMID38582026
PMCPMC11081814

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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.