Evidence map›Paper›PMID 39990573›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Cross-Sectional and Longitudinal Patterns of Atrophy in Thalamic and Deep Gray Matter Nuclei in Frontotemporal Dementia.

A Banerjee, F Yang, J Dutta, A Cacciola, M Hornberger, M Saranathan

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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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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

6 authors.

Funding

Longitudinal predictive modeling for tau in Alzheimer's diseaseR01AG072669 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI DUTTA, JOYITA · 2021 to 2025
$2.7M
Next-Generation Thalamic Nuclei Visualization and Segmentation MethodsR01EB032674 · NIBIB · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Manojkumar Saranathan · 2022 to 2026
$1.8M
Substructural Volumetry of Hippocampus and Thalamus in AlcoholismR21AA023582 · NIAAA · SRI INTERNATIONAL · PI SARANATHAN, MANOJKUMAR, ZAHR, NATALIE M · 2015 to 2016
$502k
Super-Resolved Multimodal Imaging Biomarkers for Frontotemporal DementiaR21AG087392 · NIA · UNIVERSITY OF MASSACHUSETTS AMHERST · PI DUTTA, JOYITA, SARANATHAN, MANOJKUMAR · 2024 to 2025
$474k
Super-Resolution Tau PET Imaging for Alzheimer's DiseaseR03AG070750 · NIA · UNIVERSITY OF MASSACHUSETTS LOWELL · PI DUTTA, JOYITA · 2021 to 2022
$304k
NIAAA NIH HHS R21 AA023582NIA NIH HHS R01 AG072669NIA NIH HHS R03 AG070750NIA NIH HHS R21 AG087392NIBIB NIH HHS R01 EB032674
6 · The paper itself

Abstract

introductionFrontotemporal dementia involves progressive atrophy in deep gray matter nuclei, including the thalamus and basal ganglia (such as the caudate, putamen, nucleus accumbens, and globus pallidus), which are critical for cognition and behavior. This study examined cross-sectional and longitudinal atrophy using a state-of-the-art multi-atlas segmentation method sTHOMAS.

methodsT1-weighted MRI scans from 274 participants at baseline and 237 at follow-up obtained from the Frontotemporal Lobar Degeneration Neuroimaging Initiative database were analyzed using sTHOMAS. Group differences were assessed using ANCOVA, adjusting for age, gender and intracranial volume as covariates.

resultsAtrophy was significant in the mediodorsal, pulvinar, anterior ventral nuclei, nucleus accumbens, and claustrum, with bvFTD most affected cross-sectionally. Longitudinally, the nucleus accumbens, mediodorsal, and pulvinar nuclei declined further. Atrophy correlated with naming (mediodorsal), working memory (ventrolateral posterior), and executive dysfunction (nucleus accumbens) neuropsychological tests. DISCUSSION: These findings highlight progressive, nucleus-specific atrophy in FTD and emphasize the importance of cross-sectional as well as longitudinal imaging and sex-specific analyses in understanding disease progression.

Identifiers

PMID39990573
PMCPMC11844577

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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.