Common and specific altered amplitude of low-frequency fluctuations in Parkinson’s disease patients with and without freezing of gait in different frequency bands

Hu, Huiqing; Chen, Jingwu; Huang, Huiyuan; Zhou, Caihong; Zhang, Shufei; Liu, Xian; Wang, Limin; Chen, Ping; Nie, Kun; Chen, Lixiang; Wang, Shuai; Huang, Biao; Huang, Ruiwang

doi:10.1007/s11682-018-0031-x

Cited by 20 publications

(16 citation statements)

References 74 publications

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“…(2017) also found a significant correlation between ALFF changes and FOG severity (Mi et al., 2017). More recently, in line with previous findings, Hu et al. (2019) found abnormal ALFF in the putamen, frontal, and temporal brain areas in PD-FOG (Hu et al., 2019).…”

Section: Resultssupporting

confidence: 86%

“…More recently, in line with previous findings, Hu et al. (2019) found abnormal ALFF in the putamen, frontal, and temporal brain areas in PD-FOG (Hu et al., 2019). By using the voxel-mirrored homotopic connectivity (VMHC) technique (Stark et al., 2008), Li et al.…”

Section: Resultssupporting

confidence: 86%

“…(2018)14 PD-FOG (62 ±10) 20 PD-nFOG (63±8) 18 HS (64±10)REST (regional homogeneity)Local FCLower regional homogeneity in left SMA and left superior frontal regionNo correlation was performedBharti et al. (2019b)15 PD-FOG (71±7) 16 PD-nFOG (66±11) 16 HS (67±8)FSL (Within - and Between- network analysis)FCWithin-network results: higher right fronto-parietal, orbitofrontal, frontal, sensorimotor and basal ganglia FC Between-network results: Lower FC between anterior default mode and sensorimotor networks, between right fronto-parietal and executive control networksBetween basal ganglia within-network FC and TUG duration during ON state Between FC right fronto-parietal versus executive-control networks and FOG-QHu et al. (2019)18 PD-FOG (63±11) 18 PD-nFOG (61±8) 17 HS (61±8)SPM12ALFFIn frequency band slow-5, lower ALFF in the bilateral putamen In frequency band slow-4, higher ALFF in left inferior temporal gyrus and lower ALFF in right middle frontal gyrus In classical frequency band, higher ALFF in inferior temporal gyrusNo correlation was performedMaidan et al.…”

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Neuroimaging advances in Parkinson's disease with freezing of gait: A systematic review

Bharti

Suppa

Tommasin

et al. 2019

NeuroImage: Clinical

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Section: Resultssupporting

confidence: 86%

Section: Resultssupporting

confidence: 86%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Neuroimaging advances in Parkinson's disease with freezing of gait: A systematic review

Bharti

Suppa

Tommasin

et al. 2019

NeuroImage: Clinical

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“…Left-sided PD patients had increased ALFF in the left inferior temporal lobe, and this abnormality was associated motor symptoms and daily activities. Increased ALFF in the left inferior temporal lobe has been reported by several studies (36)(37)(38)(39). In the studies by Mi et al (37), Hu et al (38), and Chen et al (39), increased ALFF in this area was associated with motor functions such as posture instability and gait disturbances.…”

Section: Discussionmentioning

confidence: 72%

“…Increased ALFF in the left inferior temporal lobe has been reported by several studies ( 36 – 39 ). In the studies by Mi et al ( 37 ), Hu et al ( 38 ), and Chen et al ( 39 ), increased ALFF in this area was associated with motor functions such as posture instability and gait disturbances. It is well-known that the left inferior temporal lobe is critical for semantic integration and visual processing ( 40 , 41 ).…”

Section: Discussionmentioning

confidence: 90%

Abnormal Spontaneous Brain Activity in Left-Onset Parkinson Disease: A Resting-State Functional MRI Study

Chen

et al. 2020

Front. Neurol.

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Objective: Motor asymmetry is characteristic in Parkinson disease (PD). This phenomenon is originated from uneven degeneration of bilateral substantia nigra. However, this asymmetry may not restrict to substantia nigra or striatum. We aimed to determine the effect of asymmetry on spontaneous brain activity across the whole brain. Methods: We consecutively recruited 71 patients with PD, as well as 35 healthy controls, and collected relevant demographic, clinical, and neuropsychological information. The PD patients were divided into two groups according to the side of motor symptom onset. All the participants underwent resting-state functional magnetic resonance imaging, and spontaneous brain activity was assessed using amplitude of low-frequency fluctuation (ALFF). The associations between areas showing significant group differences and various clinical and neuropsychological measures were analyzed. Results: Finally, the data of 30 PD patients with left-onset (LPD), 27 PD patients with right-onset (RPD), and 32 healthy controls were obtained. The three groups had similar age and gender ratios. Our results demonstrated that LPD patients had increased ALFF in the left inferior temporal gyrus and decreased ALFF in bilateral thalamus and cerebellum anterior lobes than the control group. The value of ALFF of the left inferior temporal gyrus was correlated with motor function, and ALFF value of the thalamus was associated with cognition. Comparisons between LPD and RPD patients and between RPD patients and the controls did not yield significant difference. Conclusions: The present study provides new insights into the distinct characteristics of spontaneous brain activity in LPD, which may be associated with motor and cognitive function.

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Frequency‐specific coactivation patterns in resting‐state and their alterations in schizophrenia: An fMRI study

Yang

Zhang

Meng

et al. 2022

Human Brain Mapping

Self Cite

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The resting-state human brain is a dynamic system that shows frequency-dependent characteristics. Recent studies demonstrate that coactivation pattern (CAP) analysis can identify recurring brain states with similar coactivation configurations. However, it is unclear whether and how CAPs depend on the frequency bands. The current study investigated the spatial and temporal characteristics of CAPs in the four frequency sub-bands from slow-5 (0.01-0.027 Hz), slow-4 (0.027-0.073 Hz), slow-3 (0.073-0.198 Hz), to slow-2 (0.198-0.25 Hz), in addition to the typical lowfrequency range (0.01-0.08 Hz). In the healthy subjects, six CAP states were obtained at each frequency band in line with our prior study. Similar spatial patterns with the typical range were observed in slow-5, 4, and 3, but not in slow-2. While the frequency increased, all CAP states displayed shorter persistence, which caused more between-state transitions. Specifically, from slow-5 to slow-4, the coactivation not only changed significantly in distributed cortical networks, but also increased in the basal ganglia as well as the amygdala. Schizophrenia patients showed significant alteration in the persistence of CAPs of slow-5. Using leave-one-pair-out, hold-out and resampling validations, the highest classification accuracy (84%) was achieved by slow-4 among different frequency bands. In conclusion, our findings provide novel information about spatial and temporal characteristics of CAP states at different frequency bands, which contributes to a better understanding of the frequency aspect of biomarkers for schizophrenia and other disorders.

show abstract

Common and specific altered amplitude of low-frequency fluctuations in Parkinson’s disease patients with and without freezing of gait in different frequency bands

Cited by 20 publications

References 74 publications

Neuroimaging advances in Parkinson's disease with freezing of gait: A systematic review

Neuroimaging advances in Parkinson's disease with freezing of gait: A systematic review

Abnormal Spontaneous Brain Activity in Left-Onset Parkinson Disease: A Resting-State Functional MRI Study

Frequency‐specific coactivation patterns in resting‐state and their alterations in schizophrenia: An fMRI study

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