Spontaneous in-scanner motion is related to a dopamine D2 receptor enriched cortical network

Poster No:

2059 

Submission Type:

Abstract Submission 

Authors:

Lin-Yuan Tseng1, Niall Duncan1

Institutions:

1Taipei Medical University, Taipei, Taiwan

First Author:

Lin-Yuan Tseng  
Taipei Medical University
Taipei, Taiwan

Co-Author:

Niall Duncan  
Taipei Medical University
Taipei, Taiwan

Introduction:

Spontaneous movement has become a topic of increasing interest, with it being linked to widespread neural activation patterns in rodents. A potential way to study this in humans is to look at spontaneous head motion in the MRI scanner whilst recording brain activity. The fact that motion affects the data being recorded makes this challenging as it may be difficult to disentangle artifactual activity changes from motion-related ones. To attempt to circumvent this problem, we took large motions as spontaneous events and then related event-related maps to distributions of dopamine D2 receptors. This receptor type was chosen as it has been previously linked to spontaneous motion production.

Methods:

Resting-state BOLD fMRI data from the Human Connectome Project (100 unrelated participants) were used along with openly available PET maps of D1 (FLB457) and D2 (SCH23390) receptor distributions. D1 receptors were included as a control. Head motion from the fMRI scans was converted to discrete events by calculating framewise displacement, Z-scoring these values, and then binarising with a threshold of Z > 3. These events were then convolved with a double-gamma HRF and entered into a GLM analysis with the fMRI data to produce maps of brain regions associated with these motion events (Figure 1A). A spatial regression was then conducted between group activation maps and a model that included both D1 and D2 receptor densities.
Supporting Image: Figure1A.png
   ·Figure 1 (A) Head motion parameters were converted to a Z-scored framewise displacement time series. This was then turned into a binary event matrix and convolved with a HRF.
 

Results:

A network of regions including motor cortex, supplementary motor areas, and the anterior insula were associated with spontaneous motion events (Figure 1B). The distribution of regions associated with such motion was positively related to D2 receptors (b = 0.16, t = 8.85, p < 0.001). This relationship was differentiable from D1 receptors (F = 37.52, p = 1e-09). To further illustrate the association between movement-related regions and others, we used the activation map as a mask to extract D2 receptor densities and compared these between active and inactive regions, finding a higher density in the former (Mann-Whitney U = 11754421, p = 4.82e-59; Figure 1C).
Supporting Image: Figure1BC.png
   ·Figure 1 (B) Brain network associated with spontaneous motion initiation. Figure 1 (C) Relative D2 receptor density between regions active during spontaneous motion and those not.
 

Conclusions:

We provide initial evidence that spontaneous head motion in the MRI scanner may be related to a specific network of brain regions and that this network displays an enrichment of dopamine D2 receptors. Given associations between head motion patterns and some dopamine-related disorders, this may indicate a potential analysis approach for investigating such conditions. However, given the potential confounds involved in the analysis, replication with other imaging modalities is required.

Motor Behavior:

Motor Behavior Other 1

Neuroanatomy, Physiology, Metabolism and Neurotransmission:

Transmitter Receptors 2

Keywords:

Dopamine
FUNCTIONAL MRI
Other - Intrinsic activity; individual differences; neuromodulation;brain networks

1|2Indicates the priority used for review

Provide references using author date format

Benisty, H. (2023), 'Rapid fluctuations in functional connectivity of cortical networks encode spontaneous behavior', Nature Neuroscience, 1–11
Caballero, C. (2018), 'Characterization of Noise Signatures of Involuntary Head Motion in the Autism Brain Imaging Data Exchange Repository', Frontiers in Integrative Neuroscience, vol. 12
Clifford, J. J. (2000), 'Topographical evaluation of behavioural phenotype in a line of mice with targeted gene deletion of the D2 dopamine receptor', Neuropharmacology 39, 382–390
Syeda, A. (2023), 'Facemap: a framework for modeling neural activity based on orofacial tracking', Nature Neuroscience, 1–9
Tomiyama, K. (2004), 'Comparative phenotypic resolution of spontaneous, D2-like and D1-like agonist-induced orofacial movement topographies in congenic mutants with dopamine D2 vs. D3 receptor ‘knockout’', SYNPSE. 51, 71–81
Yoo, S. (2005), 'Head motion analysis during cognitive fMRI examination: Application in patients with schizophrenia', Neuroscience Research. 53, 84–90