Estimated Gray Matter Volume Rapidly Changes after a Short Motor Task

Author:

Olivo Gaia12ORCID,Lövdén Martin12,Manzouri Amirhossein34,Terlau Laura56,Jenner Bo4,Jafari Arian4,Petersson Sven78,Li Tie-Qiang78,Fischer Håkan39,Månsson Kristoffer N T3410ORCID

Affiliation:

1. Department of Psychology, University of Gothenburg, SE-40530, Gothenburg, Sweden

2. Aging Research Center (ARC), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, SE-17177, Stockholm, Sweden

3. Department of Psychology, Stockholm University, SE-10691, Stockholm, Sweden

4. Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, SE-11364, Stockholm, Sweden

5. Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195, Berlin, Germany

6. Max Planck UCL Centre for Computational Psychiatry and Ageing Research, D-14195, Berlin, London

7. Department of Medical Radiation and Nuclear Medicine, Karolinska University Hospital, Huddinge S-14186, Stockholm, Sweden

8. Department of Clinical Science, Intervention and Technology, Karolinska Institutet, SE-14152, Stockholm, Sweden

9. Stockholm University Brain Imaging Centre, SE-10691, Stockholm, Sweden

10. Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, US-03755, USA

Abstract

Abstract Skill learning induces changes in estimates of gray matter volume (GMV) in the human brain, commonly detectable with magnetic resonance imaging (MRI). Rapid changes in GMV estimates while executing tasks may however confound between- and within-subject differences. Fluctuations in arterial blood flow are proposed to underlie this apparent task-related tissue plasticity. To test this hypothesis, we acquired multiple repetitions of structural T1-weighted and functional blood-oxygen level-dependent (BOLD) MRI measurements from 51 subjects performing a finger-tapping task (FTT; á 2 min) repeatedly for 30–60 min. Estimated GMV was decreased in motor regions during FTT compared with rest. Motor-related BOLD signal changes did not overlap nor correlate with GMV changes. Nearly simultaneous BOLD signals cannot fully explain task-induced changes in T1-weighted images. These sensitive and behavior-related GMV changes pose serious questions to reproducibility across studies, and morphological investigations during skill learning can also open new avenues on how to study rapid brain plasticity.

Funder

Swedish Research Council

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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