Aberrant Volume-Wise and Voxel-Wise Concordance Among Dynamic Intrinsic Brain Activity Indices in Parkinson’s Disease: A Resting-State fMRI Study

Tian, Yuan; Chen, Haibo; Ma, Xinxin; Li, Shuhua; Li, Chunmei; Wu, Shan; Liu, Fengzhi; Du, Yu; Li, Kai; Su, Wen

doi:10.3389/fnagi.2022.814893

Cited by 14 publications

(14 citation statements)

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“…Some studies also found that the symptom severity of PD significantly correlated with such abnormal variability in the visual and sensorimotor regions. 49,50 We speculate that if abnormal signal variability in these regions indicates more random activity of the brain and then result in weaker autocorrelation, which can be interpreted the current findings. Moreover, abnormal intrinsic timescales in multisystem also refer to abnormal functional hierarchy of the brain in individuals with PD.…”

Section: Discussionsupporting

confidence: 66%

“…Our findings showed abnormal temporal property of local neural activity in the visual, sensorimotor, and cognitive systems in PD, which was consistent with the previous studies. For example, the previous fMRI studies that calculated the variability of brain signal across time found abnormal variance in visual [47][48][49] , sensorimotor 47,50 , and frontal 51,52 regions in PD. Some studies also found that the symptom severity of PD significantly correlated with such abnormal variability in the visual and sensorimotor regions.…”

Section: Discussionmentioning

confidence: 99%

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Abnormal intrinsic neural timescale and reduced grey matter volume in Parkinson’s disease

Wei

Zhang

Peng

et al. 2022

Preprint

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Background: The intrinsic neural timescale in a local brain area has been specialized, and the sensory and prefrontal areas have shorter and longer timescales, respectively. Parkinson's disease (PD) is a progressive neurological disorder that also exhibits with abnormal neural activity in sensorimotor, visual, and cognitive-related areas. However, it was unclear whether PD patients exhibited abnormal intrinsic timescales and whether PD patients exhibited different temporal feature at different stages. Methods: 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 (PD-ES) and 30 patients in the late stage (PD-LS), and 73 healthy controls (HC). Results: We identified that the PD group had shorter timescales in bilateral lingual and calcarine gyri, bilateral postcentral and precentral gyri, and the right middle cingulum gyrus than the HC group, which correlated with the age, but not in the HC group. Moreover, shorter timescales in the PD group also correlated with the symptom severity and reduced grey matter volume (GMV). Longer timescale in the right middle frontal gyrus was also found in the PD group than that in the HC group. Increasingly, compared to the HC group, the PD-ES group had longer timescales in the anterior cortical regions, including the left superior and inferior frontal gyri, and the right middle frontal gyrus, whereas the PD-LS group had shorter timescales in the posterior cortical regions, including bilateral calcarine and lingual gyri, which accompanied with more serious cognitive impairments and reduced GMV. Conclusions: Our findings suggest that PD patients exhibit abnormal intrinsic timescales in visual, sensorimotor, and cognitive systems, which might provide new insights for the neural substrate of PD. Distinct patterns of intrinsic timescales in cerebral cortex between the PD-LS and PD-ES groups indicate that intrinsic timescale might be a new neuroimaging biomarker across disease stage in PD.

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Section: Discussionsupporting

confidence: 66%

Section: Discussionmentioning

confidence: 99%

Abnormal intrinsic neural timescale and reduced grey matter volume in Parkinson’s disease

Wei

Zhang

Peng

et al. 2022

Preprint

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“…Clusters of the voxel-based analysis were reported with a combined threshold of vertexwise p < 0.05 and a clusterwise p < 0.05 after a correction for multiple comparisons using Gaussian random field theory. 31…”

Section: Methodsmentioning

confidence: 99%

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

Zhang

Mao

et al. 2023

Neurology

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Background and ObjectivesPathological 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 via 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 cerebrospinal fluid (CSF) α-synuclein levels in PD.MethodsThis study included a longitudinal dataset with baseline (T0), 1-year (T1) and 4-year (T4) follow-ups, and two 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 from123Ioflupane SPECT scans. Serum NfL and CSF α-synuclein levels were also measured.ResultsThe longitudinal dataset included 113 de novo PD patients and 55 healthy controls (HC). The cross-sectional datasets included 116 patients with relatively more advanced PD and 85 HC. Compared with HC, de novo PD patients showed accelerated LGI and FA reductions over 1-year period and further decline at 4-year follow-up. Across the three time points, the LGI paralleled and correlated with FA (p=0.002 at T0, p=0.0214 at T1, p=0.0037 at T4) and SBR (p=0.0095 at T0, p=0.0035 at T1, p=0.0096 at T4) but not with overlying cortical thickness in PD patients. 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 PD patients. In the two cross-sectional datasets, we revealed similar patterns of LGI and FA reductions and associations between LGI and FA in patients with more advanced PD.DiscussionWe 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.

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“…Although the rs-fMRI was collected in a quiet state of the subjects, the brain activity fluctuated with time ( Kong et al, 2021 ). Dynamic DC (dDC) is a method combines sDC with “sliding window” ( Tian et al, 2022 ), reflecting the time dynamics of remote functional connectivity ( Du et al, 2021 ). Although dDC has not been reported in TN, it has been applied to Parkinson’s disease ( Wang et al, 2022 ), major depressive disorder (MDD) ( Yang et al, 2022 ), schizophrenia ( Wang et al, 2021 ), depressive mania ( Sun et al, 2022 ), and other diseases.…”

Section: Introductionmentioning

confidence: 99%

Alteration of brain network centrality in CTN patients after a single triggering pain

Wang²,

Wang³

et al. 2023

Front. Neurosci.

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ObjectiveThe central nervous system may also be involved in the pathogenesis of classical trigeminal neuralgia (CTN). The present study aimed to explore the characteristics of static degree centrality (sDC) and dynamic degree centrality (dDC) at multiple time points after a single triggering pain in CTN patients.Materials and methodsA total of 43 CTN patients underwent resting-state function magnetic resonance imaging (rs-fMRI) before triggering pain (baseline), within 5 s after triggering pain (triggering-5 s), and 30 min after triggering pain (triggering-30 min). Voxel-based degree centrality (DC) was used to assess the alteration of functional connection at different time points.ResultsThe sDC values of the right caudate nucleus, fusiform gyrus, middle temporal gyrus, middle frontal gyrus, and orbital part were decreased in triggering-5 s and increased in triggering-30 min. The sDC value of the bilateral superior frontal gyrus were increased in triggering-5 s and decreased in triggering-30 min. The dDC value of the right lingual gyrus was gradually increased in triggering-5 s and triggering-30 min.ConclusionBoth the sDC and dDC values were changed after triggering pain, and the brain regions were different between the two parameters, which supplemented each other. The brain regions which the sDC and dDC values were changing reflect the global brain function of CTN patients, and provides a basis for further exploration of the central mechanism of CTN.

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Aberrant Volume-Wise and Voxel-Wise Concordance Among Dynamic Intrinsic Brain Activity Indices in Parkinson’s Disease: A Resting-State fMRI Study

Cited by 14 publications

References 56 publications

Abnormal intrinsic neural timescale and reduced grey matter volume in Parkinson’s disease

Abnormal intrinsic neural timescale and reduced grey matter volume in Parkinson’s disease

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

Alteration of brain network centrality in CTN patients after a single triggering pain

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