Symptom-Specific Network Mapping of DAT Loss in Parkinson's Disease
Poster No:
1695
Submission Type:
Abstract Submission
Authors:
Runtian Li1, Weihua Li2, Yong Liu3
Institutions:
1Beijing University of Posts and Telecommunications, Beijing, Beijing Shi, 2Peking University Health Science Center, Beijing, China, 3School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, Beijing
First Author:
Co-Author(s):
Yong Liu
School of Artificial Intelligence, Beijing University of Posts and Telecommunications
Beijing, Beijing
School of Artificial Intelligence, Beijing University of Posts and Telecommunications
Beijing, Beijing
Introduction:
Parkinson's disease (PD) is primarily characterized by dopamine transporter (DAT) loss in the striatum. This loss can disrupt functional neural networks, and different patterns of DAT-loss may underlie the variability in motor symptoms seen in PD. The objective of this study is to localize symptom-specific DAT-loss functional networks to better understand their contributions to distinct clinical manifestations.
Methods:
We obtained 123I-FP-CIT DAT single-photon emission computed tomography (SPECT) imaging data from 1,216 Parkinson's disease (PD) patients and 278 healthy controls in the Parkinson's Progression Markers Initiative (PPMI) database. Specific binding ratio (SBR) images derived from DAT SPECT scans of healthy controls were used to construct a normative model. For each PD patient, deviations from the model-predicted values were calculated to generate seed images, enabling the mapping of DAT-loss to brain networks using a publicly available normative functional connectivity dataset of 1000 healthy subjects from the Genome Superstruct Project (GSP). Individual-specific DAT-loss network maps were then analyzed using Statistical nonParametric Mapping (SnPM13) with 10,000 simulations and voxel-wise family-wise error (FWE) correction (P < 0.05) to perform linear regression with the Unified Parkinson's Disease Rating Scale Part III (UPDRS-III) total scores and symptom sub-scores.
Results:
Primarily, significant associations between DAT-loss networks and UPDRS-III were observed in the bilateral insula, precentral/postcentral gyrus, supplementary motor area (SMA), frontal regions (including the middle and inferior frontal gyri), and the right thalamus, particularly the medial dorsal nucleus. For tremor, significant associations were identified in the left superior temporal gyrus within the temporal lobe. For bradykinesia, both cortical regions (e.g., insula, SMA, and frontal regions) and subcortical structures (e.g., thalamus) were implicated. For rigidity, significant associations were found in the putamen and related subcortical white matter regions. Additionally, our results suggest that disruptions in frontal subcortical white matter networks may contribute to the development of axial motor symptoms, further underscoring the role of frontal-subcortical circuits in PD motor manifestations.
Conclusions:
Our study highlights distinct brain networks are involved in specific motor symptoms, reflecting symptom-specific patterns of DAT loss in PD.
Motor Behavior:
Motor Behavior Other 1
Neuroanatomy, Physiology, Metabolism and Neurotransmission:
Transmitter Receptors 2
Keywords:
Motor
Movement Disorder
Single Photon Emission Computed Tomography (SPECT)
1|2Indicates the priority used for review
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Provide references using APA citation style.
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