Evidence map›Paper›PMID 40470689›Full record

ArticleHuman brain mapping2025

Neuroanatomical Changes in the Stopping Network Across the Adult Lifespan Assessed With Quantitative and Diffusion MRI.

Sarah A Kemp, Pierre-Louis Bazin, Steven Miletić, Russell J Boag, Max C Keuken, Mark R Hinder, Birte U Forstmann

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. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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

7 authors.

Sarah A KempIntegrative Model-Based Cognitive Neuroscience Research Unit, Department of Psychology, University of Amsterdam, Amsterdam, North Holland, the Netherlands.ORCID 0000-0002-8519-6019
Pierre-Louis BazinFull Brain Picture Analytics, Leiden, South Holland, the Netherlands.
Steven MiletićIntegrative Model-Based Cognitive Neuroscience Research Unit, Department of Psychology, University of Amsterdam, Amsterdam, North Holland, the Netherlands.
Russell J BoagIntegrative Model-Based Cognitive Neuroscience Research Unit, Department of Psychology, University of Amsterdam, Amsterdam, North Holland, the Netherlands.
Max C KeukenIntegrative Model-Based Cognitive Neuroscience Research Unit, Department of Psychology, University of Amsterdam, Amsterdam, North Holland, the Netherlands.ORCID 0000-0002-9703-9125
Mark R HinderSensorimotor Neuroscience and Ageing Research Laboratory, School of Psychological Sciences, College of Health and Medicine, University of Tasmania, Hobart, Tasmania, Australia.
Birte U ForstmannIntegrative Model-Based Cognitive Neuroscience Research Unit, Department of Psychology, University of Amsterdam, Amsterdam, North Holland, the Netherlands.

Funding

European Research CouncilNederlandse Organisatie voor Wetenschappelijk Onderzoek 016.Vici.185.052Nederlandse Organisatie voor Wetenschappelijk Onderzoek 14017University of Tasmania
6 · The paper itself

Abstract

Response inhibition, the cancellation of planned movement, is essential for everyday motor control. Extensive fMRI and brain stimulation research provides evidence for the crucial role of a number of cortical and subcortical regions in response inhibition, including the subthalamic nucleus (STN), presupplementary motor area (preSMA) and the inferior frontal gyrus (IFG). Current models assume that these regions operate as a network, with action cancellation originating in the cortical areas and then executed rapidly via the subcortex. Response inhibition slows in older age, a change that has been attributed to deterioration or changes in the connectivity and integrity of this network. However, previous research has mainly used whole-brain approaches when investigating changes in structural connectivity across the lifespan or has used simpler measures to investigate structural ageing. Here, we used high-resolution quantitative and diffusion MRI to extensively examine the anatomical changes that occur in this network across the lifespan. We found age-related changes in iron concentration in these tracts, increases in the apparent diffusion coefficient and some evidence for a decrease in myelin content. Conversely, we found very little evidence for age-related anatomical changes in the regions themselves. We propose that some of the functional changes observed in these regions in older adult populations (e.g., increased BOLD recruitment) are a reflection of alterations to the connectivity between the regions rather than localised regional change.

Indexed as

AgingBrainInhibition, PsychologicalAdolescentAdultAgedAged, 80 and overBrain MappingDiffusion Magnetic Resonance ImagingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysYoung AdultageingDWIironmyelinqMRIresponse inhibitionwhite matter

Identifiers

PMID40470689
PMCPMC12138585

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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.