Abnormal Neural Activity in Different Frequency Bands in Parkinson’s Disease With Mild Cognitive Impairment

Abstract

Background: Abnormal spontaneous neural activity is often found in patients with Parkinson’s disease with mild cognitive impairment (PD-MCI). However, the frequency dependence of neuronal interaction activities, especially the fractional amplitude of low-frequency fluctuation (fALFF) and degree centrality (DC), in PD-MCI is still unclear. Thus, this study aimed to explore the frequency dependence of PD-MCI based on fALFF and DC maps.Methods: Twenty-four patients with PD-MCI, 42 PD patients with normal cognition (PD-NC), and 33 healthy controls (HCs) were enrolled. Neuropsychological assessments and resting-state functional MRI (rs-fMRI) were performed. The fALFF and DC values in the conventional, slow4 and slow5 frequency bands were compared among the groups.Results: In the conventional frequency band, the DC value in the left precentral area was decreased in PD-MCI patients, while that in the right fusiform area was increased in PD-NC patients compared with HCs. Regarding fALFFs, both the PD-MCI and PD-NC patients had decreased values in the right precentral area compared with those of the HCs. The fALFFs did not differ between PD-MCI and PD-NC patients. The fALFF results in the slow4 subfrequency band were consistent with those in the conventional frequency band. In the slow5 band, the DC value in the left middle temporal lobe was higher in PD-MCI patients than in PD-NC patients and was positively correlated with the performance of the PD-MCI patients on the Montreal Cognitive Assessment (MoCA). Additionally, both PD-MCI and PD-NC patients showed lower fALFF values in the bilateral putamen than the HCs, and the fALFF in the bilateral putamen was negatively correlated with the Hoehn and Yahr stages of PD-MCI. The fALFF in the left putamen was negatively correlated with the scores of PD-MCI patients on the Movement Disorder Society-Unified Parkinson Disease Rating Scale Part III (MDS-UPRDS-III).Conclusion: Our results suggested that abnormal neuronal activities, such as fALFF and DC, are dependent on frequency in PD-MCI. Some subfrequency bands could distinguish PD-MCI from PD. Our findings may be helpful for further revealing the frequency-dependent resting functional disruption in PD-MCI.

Cortical connectivity of cholinergic basal forebrain in Parkinson’s disease with mild cognitive impairment

“…MRI data acquisition and postprocessing were conducted as described previously (17). Briefly, a 3.0 T scanner with an 8-channel head coil (Signa Excite HD; GE Healthcare, Milwaukee, WI, USA) was used to collect MRI data.…”

“…The participant recruitment process flowchart is displayed in Figure 1. The same sample of patients and controls were analyzed in our previous study from the perspective of fractional amplitude of lowfrequency fluctuation and degree centrality (17). The educational level of participants enrolled in this study was higher than primary school to control for the potentially confounding effect of years of education on cognitive assessment.…”

Amplitude of low-frequency fluctuations in multiple-frequency bands in patients with intracranial tuberculosis: a prospective cross-sectional study

“…Zuo et al ( 17 ) focused on the sub-frequency bands of the conventional frequency band and proposed the oscillations in the slow-4 (0.027–0.073 Hz) and slow-5 (0.01–0.027 Hz) bands, which mainly reflected gray matter signals and helped us to clarify the relationship between functional processing and disease. It is worth noting that many studies have indicated that the slow-4 and slow-5 frequency bands contribute differently to the conventional frequency oscillation ( 11 , 23 ), and frequency-dependent abnormalities exist in many disorders ( 7 , 11 ). For example, Yang et al ( 8 ) reported that abnormal amplitudes of Alzheimer’s disease were frequency-dependent, which were mainly related to the slow-5 band as opposed to than the slow-4 band.…”

“…Resting-state functional magnetic resonance imaging (rs-fMRI) is a promising neuroimaging technique for exploring brain function, revealing the intrinsic spontaneous activity of the brain through the changes of magnetic resonance signaling generated by alterations in the blood oxygen level (10). It has been increasingly used to understand the neural mechanisms of various central nervous system diseases, such as depression, Parkinson's disease, and vascular cognitive impairment (7,11,12). Researchers have established various metrics to study resting-state functional data and to reflect the local and global characteristics of neural activity, which help us to understand spontaneous neural activity changes in the brain from different aspects (13)(14)(15)(16).…”

Integrating Chronic Obstructive Pulmonary Disease Treatment With 8-Week Tai Chi Chuan Practice: An Exploration of Mind-Body Intervention and Neural Mechanism

“…This graph-based measurement of network organization reflects the number of instantaneous functional connections between a region and the rest of the brain within the entire connectivity matrix of the brain (Guo et al, 2016). It has been widely used in neurological disorders, such as COPD, Parkinson's disease, Alzheimer's disease, and schizophrenia (Wang et al, 2019;Li et al, 2020;Rong et al, 2021). The DC approach was applied here to investigate altered brain functions after intervention in patients with COPD who received TCC rehabilitation practice.…”