ENIGMA-PD: Brain morphology correlates of neuropsychiatric symptoms in Parkinson’s disease

Poster No:

158 

Submission Type:

Abstract Submission 

Authors:

Eva van Heese1, Jiska van Wijk1, Max Laansma1, Conor Owens-Walton2, Emile d'Angremont1, Chris Vriend1,3, Tim van Balkom1,3, Henk Berendse4, Elnaz Ghasemi5, Kathleen Poston5, Ysbrand van der Werf1, Odile van den Heuvel1,3

Institutions:

1Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Anatomy and Neurosciences, Amsterdam, Netherlands, 2Imaging Genetics Center, University of Southern California, Los Angeles, CA, 3Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam, Netherlands, 4Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Neurology, Amsterdam, Netherlands, 5Stanford University, Department of Neurology & Neurological Sciences, Stanford, CA

First Author:

Eva van Heese  
Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Anatomy and Neurosciences
Amsterdam, Netherlands

Co-Author(s):

Jiska van Wijk  
Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Anatomy and Neurosciences
Amsterdam, Netherlands
Max Laansma  
Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Anatomy and Neurosciences
Amsterdam, Netherlands
Conor Owens-Walton  
Imaging Genetics Center, University of Southern California
Los Angeles, CA
Emile d'Angremont  
Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Anatomy and Neurosciences
Amsterdam, Netherlands
Chris Vriend  
Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Anatomy and Neurosciences|Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry
Amsterdam, Netherlands|Amsterdam, Netherlands
Tim van Balkom  
Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Anatomy and Neurosciences|Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry
Amsterdam, Netherlands|Amsterdam, Netherlands
Henk Berendse  
Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Neurology
Amsterdam, Netherlands
Elnaz Ghasemi  
Stanford University, Department of Neurology & Neurological Sciences
Stanford, CA
Kathleen Poston  
Stanford University, Department of Neurology & Neurological Sciences
Stanford, CA
Ysbrand van der Werf  
Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Anatomy and Neurosciences
Amsterdam, Netherlands
Odile van den Heuvel  
Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Anatomy and Neurosciences|Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry
Amsterdam, Netherlands|Amsterdam, Netherlands

Introduction:

Parkinson's disease, a neurodegenerative disorder defined by its motor symptoms, has increasingly been recognized as a disease involving non-motor features, including neuropsychiatric symptoms. Previous work has identified a smaller amygdala, hippocampus, and larger anterior cingulate cortex in relation to anxiety and depressive symptoms in Parkinson's disease (van Mierlo et al., 2015; Vriend et al., 2016). This study aims to overcome limitations of previous, small-size investigations and explore the brain morphology correlates of these neuropsychiatric symptoms in a well-powered multinational dataset from the ENIGMA-PD working group.

Methods:

We collected T1-weighted MRI and clinical data across five cohorts from Amsterdam and Stanford (total n=367, age mean±SD: 62.7±9.94, 40% female). FreeSurfer (Fischl et al., 2012) was applied to obtain cortical thickness and subcortical volumes, followed by quality assessment including visual inspection and outlier detection according to the ENIGMA-PD protocol (github.com/ENIGMA-PD/FS7). Depression and anxiety severity were assessed using the Beck Depression Inventory (range[0,40]; mean±SD: 10.58±7.46) and Beck Anxiety Inventory (range[0,43]; mean±SD: 11.26±7.99), respectively. We applied linear-mixed effects models, corrected for age, sex, ICV, and cohort, and determined significance using the FDR correction (padj<.05).

Results:

None of the correlations between brain morphology and depression or anxiety measures remained significant after FDR correction. When uncorrected (p<.05), several brain regions were thinner or smaller with increasing depression or anxiety severity (cortical: temporal, frontal, cingulate cortex; subcortical: amygdala, hippocampus, caudate nucleus, thalamus). Overall, more brain regions correlated with depression severity than with anxiety severity.
Supporting Image: Fig1_ENIGMA-PD_Neuropsychiatry.png
Supporting Image: Fig2_ENIGMA-PD_Neuropsychiatry.png
 

Conclusions:

This preliminary analysis shows subtle associations between brain morphology, depression, and anxiety that do not reach statistical significance. These subtle findings await further confirmation using the full dataset of the ENIGMA-PD working group, in which we aim to further explore neuropsychiatry-related brain morphometry in Parkinson's disease.

Disorders of the Nervous System:

Neurodegenerative/ Late Life (eg. Parkinson’s, Alzheimer’s) 1
Psychiatric (eg. Depression, Anxiety, Schizophrenia) 2

Modeling and Analysis Methods:

Segmentation and Parcellation

Neuroanatomy, Physiology, Metabolism and Neurotransmission:

Cortical Anatomy and Brain Mapping
Subcortical Structures

Keywords:

Degenerative Disease
Movement Disorder
Psychiatric Disorders
Sleep
STRUCTURAL MRI
Sub-Cortical
Other - morphology

1|2Indicates the priority used for review

Abstract Information

By submitting your proposal, you grant permission for the Organization for Human Brain Mapping (OHBM) to distribute your work in any format, including video, audio print and electronic text through OHBM OnDemand, social media channels, the OHBM website, or other electronic publications and media.

I accept

The Open Science Special Interest Group (OSSIG) is introducing a reproducibility challenge for OHBM 2025. This new initiative aims to enhance the reproducibility of scientific results and foster collaborations between labs. Teams will consist of a “source” party and a “reproducing” party, and will be evaluated on the success of their replication, the openness of the source work, and additional deliverables. Click here for more information. Propose your OHBM abstract(s) as source work for future OHBM meetings by selecting one of the following options:

I do not want to participate in the reproducibility challenge.

Please indicate below if your study was a "resting state" or "task-activation” study.

Other

Healthy subjects only or patients (note that patient studies may also involve healthy subjects):

Patients

Was this research conducted in the United States?

Yes

Are you Internal Review Board (IRB) certified? Please note: Failure to have IRB, if applicable will lead to automatic rejection of abstract.

Yes, I have IRB or AUCC approval

Were any human subjects research approved by the relevant Institutional Review Board or ethics panel? NOTE: Any human subjects studies without IRB approval will be automatically rejected.

Yes

Were any animal research approved by the relevant IACUC or other animal research panel? NOTE: Any animal studies without IACUC approval will be automatically rejected.

Not applicable

Please indicate which methods were used in your research:

Structural MRI
Neuropsychological testing

For human MRI, what field strength scanner do you use?

1.5T
3.0T

Which processing packages did you use for your study?

Free Surfer

Provide references using APA citation style.

1. Fischl, B. (2012). FreeSurfer. Neuroimage, 62(2), 774-781.
2. van Mierlo, T. J., Chung, C., Foncke, E. M., Berendse, H. W., & van den Heuvel, O. A. (2015). Depressive symptoms in Parkinson's disease are related to decreased hippocampus and amygdala volume. Movement Disorders, 30(2), 245-252.
3. Vriend, C., Boedhoe, P. S., Rutten, S., Berendse, H. W., van der Werf, Y. D., & van den Heuvel, O. A. (2016). A smaller amygdala is associated with anxiety in Parkinson’s disease: a combined FreeSurfer—VBM study. Journal of Neurology, Neurosurgery & Psychiatry, 87(5), 493-500.

UNESCO Institute of Statistics and World Bank Waiver Form

I attest that I currently live, work, or study in a country on the UNESCO Institute of Statistics and World Bank List of Low and Middle Income Countries list provided.

No