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July 18, 2023; 101 (3) Research Article

Association of Cortical Gyrification With Imaging and Serum Biomarkers in Patients With Parkinson Disease

Yuanchao Zhang, View ORCID ProfileYu Zhang, Chengjie Mao, Zhen Jiang, Guohua Fan, Erlei Wang, Yifan Chen, View ORCID ProfileLena Palaniyappan
First published June 2, 2023, DOI: https://doi.org/10.1212/WNL.0000000000207410
Yuanchao Zhang
From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada.
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Yu Zhang
From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada.
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  • ORCID record for Yu Zhang
Chengjie Mao
From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada.
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Zhen Jiang
From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada.
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Guohua Fan
From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada.
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Erlei Wang
From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada.
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Yifan Chen
From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada.
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Lena Palaniyappan
From the School of Life Science and Technology (Yuanchao Zhang, Y.C.), University of Electronic Science and Technology of China, Chengdu, Sichuan; Artificial Intelligence Research Institute (Yu Zhang), Zhejiang Lab, Hangzhou; Department of Neurology (C.M.), and Department of Radiology (Z.J., G.F., E.W.), The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China; and Douglas Mental Health University Institute (L.P.), McGill University, Montreal, Quebec, Canada.
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Association of Cortical Gyrification With Imaging and Serum Biomarkers in Patients With Parkinson Disease
Yuanchao Zhang, Yu Zhang, Chengjie Mao, Zhen Jiang, Guohua Fan, Erlei Wang, Yifan Chen, Lena Palaniyappan
Neurology Jul 2023, 101 (3) e311-e323; DOI: 10.1212/WNL.0000000000207410

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Abstract

Background and Objectives Pathologic progression across the cortex is a key feature of Parkinson disease (PD). Cortical gyrification is a morphologic feature of human cerebral cortex that is tightly linked to the integrity of underlying axonal connectivity. Monitoring cortical gyrification reductions may provide a sensitive marker of progression through structural connectivity, preceding the progressive stages of PD pathology. We aimed to examine the progressive cortical gyrification reductions and their associations with overlying cortical thickness, white matter (WM) integrity, striatum dopamine availability, serum neurofilament light (NfL) chain, and CSF α-synuclein levels in PD.

Methods This study included a longitudinal dataset with baseline (T0), 1-year (T1), and 4-year (T4) follow-ups and 2 cross-sectional datasets. Local gyrification index (LGI) was computed from T1-weighted MRI data to measure cortical gyrification. Fractional anisotropy (FA) was computed from diffusion-weighted MRI data to measure WM integrity. Striatal binding ratio (SBR) was measured from 123Ioflupane SPECT scans. Serum NfL and CSF α-synuclein levels were also measured.

Results The longitudinal dataset included 113 patients with de novo PD and 55 healthy controls (HCs). The cross-sectional datasets included 116 patients with relatively more advanced PD and 85 HCs. Compared with HCs, patients with de novo PD showed accelerated LGI and FA reductions over 1-year period and a further decline at 4-year follow-up. Across the 3 time points, the LGI paralleled and correlated with FA (p = 0.002 at T0, p = 0.0214 at T1, and p = 0.0037 at T4) and SBR (p = 0.0095 at T0, p = 0.0035 at T1, and p = 0.0096 at T4) but not with overlying cortical thickness in patients with PD. Both LGI and FA correlated with serum NfL level (LGI: p < 0.0001 at T0, p = 0.0043 at T1; FA: p < 0.0001 at T0, p = 0.0001 at T1) but not with CSF α-synuclein level in patients with PD. In the 2 cross-sectional datasets, we revealed similar patterns of LGI and FA reductions and associations between LGI and FA in patients with more advanced PD.

Discussion We demonstrated progressive reductions in cortical gyrification that were robustly associated with WM microstructure, striatum dopamine availability, and serum NfL level in PD. Our findings may contribute biomarkers for PD progression and potential pathways for early interventions of PD.

Glossary

ESS=
Epworth Sleepiness Score;
FA=
fractional anisotropy;
FSL=
FMRIB Software Library;
FWHM=
full-width-at-half-maximum;
GDS=
Geriatric Depression Scale;
HC=
healthy control;
H&Y=
Hoehn and Yahr;
LGI=
local gyrification index;
MDS-UPDRS-III=
Movement Disorders Society–Sponsored Revision of the Unified Parkinson Disease Rating Scale–Part III;
MoCA=
Montreal Cognitive Assessment;
MMSE=
Mini-Mental State Examination;
NfL=
neurofilament light;
PD=
Parkinson disease;
PPMI=
Parkinson Progression Markers Initiative;
RBDSQ=
REM Sleep Behavior Disorder Screening Questionnaire;
SBR=
striatal binding ratio;
SCOPA-AUT=
Scales for Outcomes in Parkinson disease–Autonomic;
STAI=
State-Trait Anxiety Inventory;
T0=
T1-weighted MRI data at baseline;
T1=
T1-weighted MRI data at 1-year follow-up;
T4=
T1-weighted MRI data at 4-year follow-up;
TE=
echo time;
TR=
repetition time;
UPSIT=
University of Pennsylvania Smell Identification Test;
WM=
white matter

Footnotes

  • Go to Neurology.org/N for full disclosures. Funding information and disclosures deemed relevant by the authors, if any, are provided at the end of the article.

  • Submitted and externally peer reviewed. The handling editor was Associate Editor Peter Hedera, MD, PhD.

  • Received October 2, 2022.
  • Accepted in final form March 30, 2023.
  • © 2023 American Academy of Neurology
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