Evidence map›Paper›PMID 40637347›Full record

ArticleHuman brain mapping2025

Thalamic Network Controllability Predicts Cognitive Impairment in Multiple Sclerosis.

Yuping Yang, Anna Woollams, Ilona Lipp, Zhizheng Zhuo, Marta Czime Litwińczuk, Valentina Tomassini, Yaou Liu, Nelson J Trujillo-Barreto, Nils Muhlert

Abstract read
In one paragraph

Article in Human brain mapping, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

9 authors.

Yuping YangDivision of Psychology, Communication and Human Neurosciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.ORCID 0000-0002-9738-4439
Anna WoollamsDivision of Psychology, Communication and Human Neurosciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Ilona LippDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Zhizheng ZhuoDepartment of Radiology, Beijing Tiantan Hospital, Beijing, China.ORCID 0000-0002-6635-8705
Marta Czime LitwińczukDivision of Psychology, Communication and Human Neurosciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.ORCID 0000-0003-3532-7575
Valentina TomassiniInstitute for Advanced Biomedical Technologies (ITAB), Department of Neurosciences, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy.
Yaou LiuDepartment of Radiology, Beijing Tiantan Hospital, Beijing, China.
Nelson J Trujillo-BarretoDivision of Psychology, Communication and Human Neurosciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Nils MuhlertDivision of Psychology, Communication and Human Neurosciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.

Funding

Medical Research Council MR/X005267/1Multiple Sclerosis Society
6 · The paper itself

Abstract

Recent research suggests that individuals with multiple sclerosis (MS) and cognitive impairment exhibit more effortful and less efficient transitions in brain network activity. Previous studies further highlight the increased vulnerability of specific regions, particularly the thalamus, to disease-related damage. This study investigates whether MS affects the controllability of specific brain regions in driving network activity transitions across the brain and examines the relationship between these changes and cognitive impairment in patients. Resting-state functional MRI and neuropsychological data were collected from 102 MS and 27 healthy controls. Functional network controllability analysis was performed to quantify how specific regions influence transitions between brain activity patterns or states. Disease alterations in controllability were assessed in the main dataset and then replicated in an independent dataset of 95 MS and 45 healthy controls. Controllability metrics were then used to distinguish MS from healthy controls and predict cognitive status. MS-specific controllability changes were observed in the subcortical network, particularly the thalamus, which were further confirmed in the replication dataset. Cognitively impaired patients showed significantly greater difficulty in the thalamus steering brain transitions towards difficult-to-reach states, which are typically associated with high-energy-cost cognitive functions. Thalamic network controllability proved more effective than thalamic volume in distinguishing MS from healthy controls (AUC = 88.3%), and in predicting cognitive status in MS (AUC = 80.7%). This study builds on previous research highlighting early thalamic damage in MS, aiming to demonstrate how this damage disrupts activity transitions across the cerebrum and may predict cognitive deficits. Our findings suggest that the thalamus in MS becomes less capable of facilitating broader brain activity transitions essential for high-energy-cost cognitive functions, implying a potential pathological mechanism that links thalamic functional changes to cognitive impairment in MS.

Indexed as

Cognitive DysfunctionConnectomeMultiple SclerosisNerve NetThalamusAdultFemaleHumansMagnetic Resonance ImagingMaleMiddle Agedcognitive impairmentmultiple sclerosisnetwork controllabilityresting‐state fMRIsubcortical networkthalamus

Identifiers

PMID40637347
PMCPMC12243067

What Socratic holds

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LicenceCC BY
Read underepoch 390

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 Socratic graph.