Yarui Wei1, Chunyan Zhang2, Yuanyuan Peng2, Chen Chen 2, Shaoqiang Han2, Weijian Wang2, Yong Zhang2, Hong Lu3, and Jingliang Cheng2
1Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 3Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
Synopsis
Keywords: Parkinson's Disease, fMRI (resting state)
It’s unclear whether abnormal neural information stored and different
temporal feature at different stages in Parkinson’s disease (PD). Here, we estimated
the intrinsic timescales using the magnitude of the autocorrelation of
intrinsic neural signals by resting state functional magnetic resonance imaging
data in 74 PD patients, including 44 patients in the early stage and 30
patients in the late stage. Our
findings suggest that PD patients exhibit abnormal intrinsic timescales in
visual, sensorimotor, and cognitive systems, and at different stages, distinct
patterns of intrinsic timescales in cerebral cortex, which might provide new
insights for the neural substrate of PD.
Background or Purpose
Specialization and hierarchy are organizing principles for
primate cortex, and cortical areas are also specialized in the temporal domain.
The neural timescale in a local brain area reflects the function of that area
in many trials of a task1,2 or even in the absence of
direct stimulus processing3,4. Moreover, the intrinsic
neural timescales at resting state could predict the neural activity of the
brain region in a task5-7,
and the sensory and prefrontal areas exhibit shorter and longer timescales at
resting state, respectively3.
Parkinson’s disease (PD) is a progressive neurological disorder characterized
by motor (tremor, rigidity, and slowness of movements and abnormal sensorimotor
integration)8,9 and nonmotor (visual
dysfunction and cognitive impairment)10-13
symptoms. Resting state fMRI studies also showed abnormal neural activity or functional
connection in motor14-17
and nonmotor18-21
areas. However, whether abnormal neural information stored in sensorimotor,
visual, and cognitive-related areas was also unclear. Because PD
is a progressive neurodegenerative disease22,23, we also
explored the differences of intrinsic timescales among patients with PD in the
early stage (PD-ES) and the late stage (PD-LS) and healthy controls (HC).Methods
The
present study estimated the intrinsic timescales by using the magnitude of the
autocorrelation of intrinsic neural signals in 74 PD patients. PD patients were
assessed the severity of motor symptoms and cognitive impairments by using the unified
Parkinson's disease rating scale (UPDRS), a revised severity classification Hoehn and Yahr (HY) scale, Montreal cognitive
assessment (MoCA), and mini-mental state examination (MMSE). Based on HY scale, 74 patients with PD were split
into 44 patients with PD-ES (the scores of the HY scale were ≤2)
and 30 patients with PD-LS (the scores of the HY scale were >2).
To investigate the correlations
among abnormal intrinsic timescale, symptom severity, age, and structural
images, we calculated the Spearman rank correlation coefficients for clinical
measures, age, and grey matter volume (GMV) with significant results between groups.Results
We identified that the PD
group had shorter intrinsic timescales in the
bilateral lingual gyri, bilateral postcentral gyri, and right middle cingulum
gyrus, and longer timescale in the right middle frontal gyrus compared with the
HC group (Figure 1). The intrinsic timescale of the bilateral lingual gyri in the PD
group negatively correlated with the scores of the HY scale (Figure 2). Moreover, the intrinsic timescales in bilateral lingual gyri, the right postcentral gyrus,
and the right middle cingulum gyrus negatively correlated the
age of the PD group, respectively (Figure 3, upper). And we found that the age in the PD group negatively
correlated with the scores of MoCA and MMSE (Figure 3, lower). We also found positively significant
correlation between the intrinsic timescale and the GMV in the right postcentral gyrus (Figure 4). The one-sample ANOVA revealed
significant between-group differences in intrinsic timescales of bilateral lingual
gyri, the left precuneus, and the right middle cingulum gyrus (Figure 5, upper). Post hoc comparisons using
Bonferroni’s test
showed that the PD-LS group had shorter timescale in the left precuneus than
that in the PD-ES group and shorter timescales in bilateral calcarine and lingual
gyri than that in the HC group (Figure 5, lower).
Increasingly, longer timescales in the left superior frontal gyrus, the left inferior
frontal gyrus, the right middle frontal gyrus were also found in the PD-ES
group than the HC group (Figure 5, lower).Discussion
In this study, we explored
the intrinsic timescales, which relates to the functional hierarchy of the
brain, in PD patients. Our findings showed abnormal temporal property of local
neural activity in the visual, sensorimotor, and cognitive systems in PD, and
the previous studies also found it through other neuroimaging methods24-29.
Increasingly, the PD-ES group had longer timescales in the anterior cortical
regions, whereas the PD-LS group had shorter timescales in the posterior
cortical regions, which might associate with cognitive impairment. The cognitive
impairment of the PD-LS group was more severity than that of the PD-ES group.
Distinct patterns of local cerebral glucose metabolism were also found in PD
with and without mild cognitive impairment (PDNC and PDMCI): the PDNC patients
had limited areas of hypometabolism in the frontal and occipital cortices, and
the PDMCI patients had extensive areas of hypometabolism in the posterior
cortical regions, including the temporo-parieto-occipital junction, medial
parietal, and inferior temporal cortices30.
Hirano et al.31
suggested that the frontal cortex was associated with impulse control disorders
and that posterior brain areas were related to cognitive decline in PD. It is reasonable
that significant correlations between cognitive impairments and the age were
found in PD, because PD is one of the most common age-related neurodegenerative
disorders32.
Furthermore, our findings suggest that the GMV and intrinsic timescales might
be independent and complementary measures for PD.Conclution
Our findings suggest that PD
patients exhibit abnormal intrinsic timescales in visual, sensorimotor, and
cognitive systems, which provide new insights for the neural substrate of PD.
Distinct patterns of intrinsic timescales between the PD-ES and PD-LS groups
also indicate that intrinsic timescale may be a new neuroimaging biomarker
across disease stage in PD, which have the potential to improve clinical care
and management.Acknowledgements
This research study was supported by the National Natural Science Foundation
of China (81601467, 81871327), Key Scientific Research Projects of Henan
Provincial Colleges and Universities (23A320004), Medical Science and
Technology Co-construction Project of Henan Province (LHGJ20220404), and
Industrial Technology Foundation Public Service Platform Project of China
(CEIEC-2020-ZM02-0103/03).References
1. Hasson U, Yang E, Vallines I, et al. A
hierarchy of temporal receptive windows in human cortex. The Journal of neuroscience : the official journal of the Society
for Neuroscience. 2008;28(10):2539-50.
2. Honey CJ, Thesen T, Donner TH, et al. Slow
cortical dynamics and the accumulation of information over long timescales. Neuron. 2012;76(2):423-434.
3. Murray JD, Bernacchia A, Freedman DJ, et
al. A hierarchy of intrinsic timescales across primate cortex. Nature neuroscience. 2014;17(12):1661-3.
4. Wengler K, Goldberg AT, Chahine G, et al.
Distinct hierarchical alterations of intrinsic neural timescales account for
different manifestations of psychosis. eLife.
2020;9:56151.
5. Cirillo R, Fascianelli V, Ferrucci L, et
al. Neural Intrinsic Timescales in the Macaque Dorsal Premotor Cortex Predict
the Strength of Spatial Response Coding.
iScience. 2018;10:203-210.
6. Golesorkhi M, Gomez-Pilar J, Tumati S, et
al. Temporal hierarchy of intrinsic neural timescales converges with spatial
core-periphery organization. Communications
biology. 2021;4(1):277.
7. Wolff A, Berberian N, Golesorkhi M, et al.
Intrinsic neural timescales: temporal integration and segregation. Trends in cognitive sciences. 2022;26(2):159-173.
8. Abbruzzese G, Berardelli A. Sensorimotor
integration in movement disorders. Movement
disorders : official journal of the Movement Disorder Society.
2003;18(3):231-240.
9. Lewis GN, Byblow WD. Altered sensorimotor
integration in Parkinson's disease. Brain : a
journal of neurology. 2002;125(Pt 9):2089-99.
10. Weil RS, Schrag AE, Warren JD, et al. Visual
dysfunction in Parkinson's disease. Brain : a
journal of neurology. 2016;139(11):2827-2843.
11. Ciccarelli N, Anzuino I, Pepe F, et al. The
facial emotion recognition deficit in Parkinson's disease: Implications of a
visual scanning strategy.
Neuropsychology. 2022;36(4):279-287.
12. Litvan I, Aarsland D, Adler CH, et al. MDS
Task Force on mild cognitive impairment in Parkinson's disease: critical review
of PD-MCI. Movement disorders :
official journal of the Movement Disorder Society. 2011;26(10):1814-24.
13. Petrou M, Dwamena BA, Foerster BR, et al.
Amyloid deposition in Parkinson's disease and cognitive impairment: a
systematic review. Movement
disorders : official journal of the Movement Disorder Society.
2015;30(7):928-35.
14. Bell PT, Gilat M, O'Callaghan C, et al.
Dopaminergic basis for impairments in functional connectivity across
subdivisions of the striatum in Parkinson's disease. Human brain mapping. 2015;36(4):1278-91.
15. Manza P, Zhang S, Li CS, et al. Resting-state
functional connectivity of the striatum in early-stage Parkinson's disease:
Cognitive decline and motor symptomatology. Human brain mapping. 2016;37(2):648-62.
16. Zang Z, Song T, Li J, et al. Simultaneous
PET/fMRI revealed increased motor area input to subthalamic nucleus in
Parkinson's disease. Cerebral
cortex. 2022;Advance online publication
17. Li J, Liao H, Wang T, et al. Alterations of
Regional Homogeneity in the Mild and Moderate Stages of Parkinson's Disease. Frontiers in aging neuroscience. 2021;13:676899.
18. Ruppert MC, Greuel A, Freigang J, et al. The
default mode network and cognition in Parkinson's disease: A multimodal
resting-state network approach. Human brain
mapping. 2021;42(8):2623-2641.
19. Baggio HC, Sala-Llonch R, Segura B, et al.
Functional brain networks and cognitive deficits in Parkinson's disease. Human brain mapping. 2014;35(9):4620-34.
20. Sun HH, Pan PL, Hu JB, et al. Alterations of
regional homogeneity in Parkinson's disease with "pure" apathy: A
resting-state fMRI study. Journal of
affective disorders. 2020;274:792-798.
21. Lopes R, Delmaire C, Defebvre L, et al.
Cognitive phenotypes in parkinson's disease differ in terms of brain-network
organization and connectivity. Human brain
mapping. 2017;38(3):1604-1621.
22. Mitchell T, Lehericy S, Chiu SY, et al.
Emerging Neuroimaging Biomarkers Across Disease Stage in Parkinson Disease: A
Review. JAMA neurology.
2021;78(10):1262-1272.
23. Filippi M, Basaia S, Sarasso E, et al.
Longitudinal brain connectivity changes and clinical evolution in Parkinson's
disease. Molecular psychiatry.
2021;26(9):5429-5440.
24. Shang S, Ye J, Wu J, et al. Early disturbance
of dynamic synchronization and neurovascular coupling in cognitively normal
Parkinson's disease. Journal of cerebral
blood flow and metabolism : official journal of the International Society of
Cerebral Blood Flow and Metabolism. 2022;42(9):1719-1731.
25. Bellot E, Kauffmann L, Coizet V, et al.
Effective connectivity in subcortical visual structures in de novo Patients
with Parkinson's Disease. NeuroImage
Clinical. 2022;33:102906.
26. Nackaerts E, Nieuwboer A, Broeder S, et al.
Altered effective connectivity contributes to micrographia in patients with
Parkinson's disease and freezing of gait. Journal of neurology. 2018;265(2):336-347.
27. Tian Y, Chen HB, Ma XX, et al. Aberrant
Volume-Wise and Voxel-Wise Concordance Among Dynamic Intrinsic Brain Activity
Indices in Parkinson's Disease: A Resting-State fMRI Study. Frontiers in aging neuroscience. 2022;14:814893.
28. Cai W, Young CB, Yuan R, et al. Dopaminergic
medication normalizes aberrant cognitive control circuit signalling in
Parkinson's disease. Brain : a
journal of neurology. 2022;Advance online publication
29. Xu J, Yu M, Wang H, et al. Altered Dynamic
Functional Connectivity in de novo Parkinson's Disease Patients With Depression. Frontiers in aging neuroscience. 2021;13:789785.
30. Hosokai Y, Nishio Y, Hirayama K, et al.
Distinct patterns of regional cerebral glucose metabolism in Parkinson's
disease with and without mild cognitive impairment. Movement disorders : official journal of the Movement Disorder
Society. 2009;24(6):854-62.
31. Hirano S, Shinotoh H, Eidelberg D. Functional
brain imaging of cognitive dysfunction in Parkinson's disease. Journal of neurology, neurosurgery, and psychiatry.
2012;83(10):963-9.
32. Reeve A, Simcox E, Turnbull D. Ageing and
Parkinson's disease: why is advancing age the biggest risk factor? Ageing
research reviews. 2014;14:19-30.