Poster No:
275
Submission Type:
Abstract Submission
Authors:
Max Laansma1, Emile d'Angremont2, Eva van Heese1, Conor Owens-Walton3, Joanna Bright4, Rebecca Kerestes5, Yuji Zhao6, Sarah Al-Bachari7, Fernando Cendes8, Jason Druzgal9, Hedley Emsley10, Gaëtan Garraux11, Rick Helmich12, Martin Johansson13, Samson Khachatryan14, Johannes Klein15, Christine Lochner16, Corey McMillan17, Tracy Melzer18, Philip Mosley19, Fabrizio Piras20, Kathleen Poston21, Mario Rango22, Reinhold Schmidt23, Duygu Tosun24, Odile van den Heuvel25, Chris Vriend25, Jiunjie Wang26, Roland Wiest27, Ian Harding5, Boris Gutman6, Neda Jahanshad28, Paul Thompson29, Ysbrand van der Werf30
Institutions:
1Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, Noord-Holland, 2Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, Netherlands, 3University of Southern California, Los Angeles, CA, 4Kings's College London, London, London, 5Monash University, Melbourne, Australia, 6Illinois Institute of Technology, Chicago, IL, 7University College London, London, United Kingdom, 8UNICAMP, Campinas, Brazil, 9University of Virginia, Charlottesville, VA, 10Lancaster Medical School, Lancaster, United Kingdom, 11University of Liege, Liege, Belgium, 12Donders Institute for Brain Cognition and Behaviour, Nijmegen, Netherlands, 13Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands, 14National Institute of Health, Yerevan, Armenia, 15University of Oxford, Oxford, United Kingdom, 16SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch Universi, Stellenbosch, South Africa, 17University of Pennsylvania, Philadelphia, PA, 18New Zealand Brain Research Institute, Christchurch, Christchurch, 19University of Queensland, St Lucia, Queensland, 20IRCCS Santa Lucia Foundation, Rome, Italy, 21Stanford University, Palo Alto, CA, 22University of Milan, Milan, Italy, 23Medical University of Graz, Graz, Austria, 24University of California, San Francisco, San Francisco, CA, 25Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, and Department of Anatomy and, Amsterdam, Netherlands, 26Chang Gung University, Taoyuan City, Taiwan, 27University Hospital Bern, Bern, Switzerland, 28Imaging Genetics Center, Keck School of Medicine of University of Southern California, Los Angeles, California, 29Imaging Genetics Center, Keck School of Medicine of University of Southern California, Los Angeles, CA, 30Vrije Universiteit Amsterdam, Amsterdam, Netherlands
First Author:
Max Laansma
Amsterdam UMC, Amsterdam Neuroscience
Amsterdam, Noord-Holland
Co-Author(s):
Eva van Heese
Amsterdam UMC, Amsterdam Neuroscience
Amsterdam, Noord-Holland
Yuji Zhao
Illinois Institute of Technology
Chicago, IL
Rick Helmich
Donders Institute for Brain Cognition and Behaviour
Nijmegen, Netherlands
Martin Johansson
Donders Institute for Brain, Cognition and Behaviour
Nijmegen, Netherlands
Christine Lochner, PhD
SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch Universi
Stellenbosch, South Africa
Duygu Tosun
University of California, San Francisco
San Francisco, CA
Odile van den Heuvel
Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, and Department of Anatomy and
Amsterdam, Netherlands
Chris Vriend, PhD
Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, and Department of Anatomy and
Amsterdam, Netherlands
Neda Jahanshad, PhD
Imaging Genetics Center, Keck School of Medicine of University of Southern California
Los Angeles, California
Paul Thompson, PhD
Imaging Genetics Center, Keck School of Medicine of University of Southern California
Los Angeles, CA
Introduction:
ENIGMA-Parkinson's Disease (PD) is a global consortium of currently 22 sites set up to identify robust PD signatures, and factors that influence them, using harmonized data processing on unprecedented large datasets. Here we present our structural MRI findings of cortical (Laansma et al. 2021), subcortical (in prep.), cerebellar (Kerestes et al. 2023), and white matter microstructure (in prep.) across PD clinical stages in ~2,800 PD participants versus ~1,300 controls. By connecting these various analyses, novel overarching interpretations can be drawn.
Methods:
Regional cortical thickness (68 regions), subcortical shape (14 regions) and cerebellar volume (28 regions) were measured from T1-w MRI and microstructural metrics (e.g., fractional anisotropy, FA; 21 regions) from diffusion-weighted images. Linear mixed models compared the brain metrics at each incremental Hoehn and Yahr (HY) disease stage from 1 to 5, to an age- and sex-matched control group.
Results:
Compared to the control group, stage HY1 was associated with a thinner posterior and inferior temporal cortex and smaller putamen, but focally larger thalami and anterior cerebellar lobules, as well as higher FA in the internal capsule and corona radiata. HY2 showed additional thinner posterior and temporal cortical regions, a smaller caudate nucleus and lower FA in the fornix, while the thalamus remained larger. In HY3 increasingly thinner regions towards the frontal cortex were observed with additional involvement of the amygdala and hippocampus. Lower FA was found in the fornix and sagittal stratum. Finally, HY4-5 was characterized by a widespread thinner cortex, smaller subcortical structures and posterior cerebellum, and overall lower FA. See Figure 1 for an overview of all results.

·Figure 1. PD vs control differences across Hoehn & Yahr disease stages.
Conclusions:
Our cross-sectional findings show a worsening and expanding pattern across disease stages that is consistent with ongoing neurodegeneration. The larger thalamic and anterior cerebellar regions in combination with suggested higher measures of microstructure of internal capsule limbs in early stage PD are striking and may indicate targeted regional compensation for neuronal/axonal loss or may reflect the consequence of hyperactive cerebellothalamic motor pathways linked to tremor.
Disorders of the Nervous System:
Neurodegenerative/ Late Life (eg. Parkinson’s, Alzheimer’s) 1
Neuroanatomy, Physiology, Metabolism and Neurotransmission:
Cortical Anatomy and Brain Mapping
Subcortical Structures
White Matter Anatomy, Fiber Pathways and Connectivity
Novel Imaging Acquisition Methods:
Anatomical MRI 2
Keywords:
Cerebellum
Cortex
Data analysis
Degenerative Disease
Morphometrics
Movement Disorder
MRI
STRUCTURAL MRI
Sub-Cortical
White Matter
1|2Indicates the priority used for review
Provide references using author date format
Kerestes, Rebecca, Max A. Laansma, Conor Owens-Walton, Andrew Perry, Eva M. van Heese, Sarah Al-Bachari, Tim J. Anderson, et al. 2023. “Cerebellar Volume and Disease Staging in Parkinson’s Disease: An ENIGMA-PD Study.” Movement Disorders: Official Journal of the Movement Disorder Society, November. https://doi.org/10.1002/mds.29611.
Laansma, Max A., Joanna K. Bright, Sarah Al-Bachari, Tim J. Anderson, Tyler Ard, Francesca Assogna, Katherine A. Baquero, et al. 2021. “International Multicenter Analysis of Brain Structure Across Clinical Stages of Parkinson’s Disease.” Movement Disorders: Official Journal of the Movement Disorder Society 36 (11): 2583–94.