Distinct Effects of Motor Training on Resting-State Functional Networks of the Brain in Parkinson’s Disease

Background. Nigrostriatal dopaminergic loss is a hallmark of Parkinson’s disease (PD) pathophysiology, leading to motor Parkinsonism. Different intervention protocols have shown that motor and cognitive functions improvement in PD occur via the modulation of distinct motor and cognitive pathways. Objective. To investigate the effects of two motor training programs on the brains’ functional networks in PD patients. Methods. Thirty-seven PD patients were prospectively studied. All enrolled patients underwent either treadmill training (TT) (n = 19) or treadmill with virtual reality (TT + VR) (n = 18) for 6 weeks. Magnetic resonance imaging (MRI) scans (3 T) acquiring 3-dimensional T1-weighted and resting-state functional MRI (rs-fMRI) data sets were performed at baseline and after 6 weeks. Independent component analysis (ICA) was conducted, and functional connectivity (FC) changes within large-scale functional brain networks were examined. Results. In both groups, significant post-training FC decrease in striatal, limbic, and parietal regions within the basal ganglia network, executive control network, and frontal-striatal network, and significant FC increase in the caudate, and cingulate within the sensorimotor network (SMN) were observed. Moreover, a significant time × group interaction was detected where TT + VR training had greater effects on FC levels in the supplementary motor area (SMA) and right precentral gyrus within the SMN, and in the right middle frontal gyrus (MFG) within the cerebellar network. These FC alterations were associated with improved usual and dual-task walking performance. Conclusions. These results suggest that TT with-and-without the addition of a VR component affects distinct neural pathways, highlighting the potential for beneficial neural plasticity in PD. Such distinctive task-specific pathways may foster the facilitation of interventions tailored to the individual needs of PD patients. Registered at Clinicaltrials.gov number: NCT01732653.

Download Full-text

NEUROIMAGING OF IDIOPATHIC REM SLEEP BEHAVIOR DISORDER

Journal of Neurology Neurosurgery & Psychiatry ◽

10.1136/jnnp-2015-312379.184 ◽

2015 ◽

Vol 86 (11) ◽

pp. e4.95-e4

Author(s):

Michal Rolinski ◽

Ludovica Griffanti ◽

Konrad Szewczyk-Krolikowski ◽

Ricarda Menke ◽

Timothy Quinnell ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Basal Ganglia ◽

Resting State ◽

Rem Sleep Behavior Disorder ◽

Behavior Disorder ◽

Resting State Fmri ◽

Precentral Gyrus ◽

Sleep Behavior ◽

Sensorimotor Network

IntroductionResting-state functional magnetic resonance imaging (rs-fMRI) studies have previously shown significantly impaired connectivity in patients within the early motor phase of Parkinson's disease. Is it possible to detect the same imaging signature of Parkinson's in RBD subjects, before a clinical diagnosis of Parkinson's disease is established?MethodsTwenty-six patients with polysomnography-proven RBD and twenty-two age- and sex-matched healthy controls were recruited into the study. All subjects underwent a comprehensive structural and resting-state MRI protocol.ResultsVoxel-based morphometry analysis did not yield any significant grey matter differences between the two groups. Similarly, no significant differences of fractional anisotropy were found using white matter tract analysis. Rs-fMRI revealed decreased coactivation within the basal ganglia network (involving the caudate, putamen, globus pallidus bilaterally) and the sensorimotor network (precentral gyrus) of patients with RBD. A small area of increased coactivation was found in the default mode network of patients with RBD.ConclusionsOur findings support the presence of basal ganglia dysfunction in patients with RBD, likely representing the prodromal stages of Parkinson's disease. Clinical and neuroimaging follow up is necessary to assess the clinical utility of resting state fMRI to predict the onset of Parkinson's disease in RBD subjects.

Download Full-text

Networks Are Associated With Depression in Patients With Parkinson’s Disease: A Resting-State Imaging Study

Frontiers in Neuroscience ◽

10.3389/fnins.2020.573538 ◽

2021 ◽

Vol 14 ◽

Author(s):

Haiyan Liao ◽

Sainan Cai ◽

Qin Shen ◽

Jie Fan ◽

Tianyu Wang ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Resting State ◽

Large Scale ◽

Brain Connectivity ◽

Imaging Study ◽

Sensorimotor Network ◽

Depression Level ◽

Large Scale Networks ◽

The Right

BackgroundDisturbance of networks was recently proposed to be associated with the occurrence of depression in Parkinson’s disease (PD). However, the neurobiological mechanism of depression underlying PD remains unclear.ObjectiveThis study was conducted to investigate whether intra-network and inter-network brain connectivity is differently changed in PD patients with and without depression (PDD and PDND patients, respectively).MethodsForty-one PDD patients, 64 PDND patients, and 55 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging (fMRI). The default mode network (DMN), executive control network (ECN), salience network (SN), precuneus network (PCUN), and sensorimotor network (SMN) were extracted using independent component analysis (ICA), and then the functional connectivity (FC) values within and between these networks were measured.ResultsPDD patients exhibited abnormal FC values within the DMN, ECN, SN, PCUN, and SMN. In addition, PDD patients demonstrated decreased connectivity between anterior SN (aSN) and bilateral ECN, between posterior SN (pSN) and dorsal DMN (dDMN), and between PCUN and dDMN/SMN/bilateral ECN. Connectivity within the left hippocampus of dDMN and the right medial superior frontal gyrus of aSN was a significant predictor of depression level in PD patients.ConclusionsAberrant intra- and inter-network FC is involved in several important hubs in the large-scale networks, which can be a biomarker for distinguishing PDD from PDND.

Download Full-text

Effects of dopamine agonist treatment on resting-state network connectivity in Parkinson’s disease

10.1101/2020.01.31.928853 ◽

2020 ◽

Author(s):

David M. Cole ◽

Bahram Mohammadi ◽

Maria Milenkova ◽

Katja Kollewe ◽

Christoph Schrader ◽

...

Keyword(s):

Parkinson’S Disease ◽

Decision Making ◽

Parkinson's Disease ◽

Basal Ganglia ◽

Dopamine Agonist ◽

Resting State ◽

Large Scale ◽

Network Connectivity ◽

Resting State Network ◽

Large Scale Networks

ABSTRACTDopamine agonist (DA) medications commonly used to treat, or ‘normalise’, motor symptoms of Parkinson’s disease (PD) may lead to cognitive-neuropsychiatric side effects, such as increased impulsivity in decision-making. Subject-dependent variation in the neural response to dopamine modulation within cortico-basal ganglia circuitry is thought to play a key role in these latter, non-motor DA effects. This neuroimaging study combined resting-state functional magnetic resonance imaging (fMRI) with DA modification in patients with idiopathic PD, investigating whether brain ‘resting-state network’ (RSN) functional connectivity metrics identify disease-relevant effects of dopamine on systems-level neural processing. By comparing patients both ‘On’ and ‘Off’ their DA medications with age-matched, un-medicated healthy control subjects (HCs), we identified multiple non-normalising DA effects on frontal and basal ganglia RSN cortico-subcortical connectivity patterns in PD. Only a single isolated, potentially ‘normalising’, DA effect on RSN connectivity in sensori-motor systems was observed, within cerebro-cerebellar neurocircuitry. Impulsivity in reward-based decision-making was positively correlated with ventral striatal connectivity within basal ganglia circuitry in HCs, but not in PD patients. Overall, we provide brain systems-level evidence for anomalous DA effects in PD on large-scale networks supporting cognition and motivated behaviour. Moreover, findings suggest that dysfunctional striatal and basal ganglia signalling patterns in PD are compensated for by increased recruitment of other cortico-subcortical and cerebro-cerebellar systems.

Download Full-text

Frequency-dependent Alterations in Complexity in Parkinson’s Disease and Prodromal Parkinson’s Disease: A Resting-State fMRI Study

10.21203/rs.3.rs-1063373/v1 ◽

2021 ◽

Author(s):

Jie Xiang ◽

Xueting Cheng ◽

Chen Cheng ◽

Yuxiang Guo ◽

Bin Wang ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Information Processing ◽

Gray Matter ◽

Resting State ◽

Resting State Fmri ◽

Fuzzy Entropy ◽

Precentral Gyrus ◽

Frequency Bands ◽

Normal Controls

Abstract Parkinson’s disease manifests principally as resting tremor, rigidity, akinesia and postural instability and exhibits deficits in information-processing tasks and abnormalities in the striatum. Human brain is one of the most complex information processing systems and resting-state fMRI signals, which possess complex nonlinear dynamic properties, have been extensively applied to study changes in brain function. However, it remains unclear whether patients with Parkinson’s disease and prodromal Parkinson’s disease have an abnormal complexity in resting-state fMRI signals and whether the abnormalities are frequency band dependent. Therefore, we investigated the complexity of signals in 47 patients with Parkinson’s disease, 26 patients with prodromal Parkinson’s disease and 21 normal controls within four frequency bands with Fuzzy Entropy. After preprocessing, entropy maps of the whole brain were extracted within four different frequency bands. Then we performed a one-way analysis of variance and results in slow-2 and slow-3 bands revealed that Parkinson’s disease patients exhibited higher complexity than those with prodromal Parkinson’s disease and normal controls. Prodromal Parkinson’s disease patients exhibited lower complexity than normal controls. Significant differences were observed mainly in the precentral gyrus , precuneus, caudate, thalamus and superior frontal gyrus. Significant correlations were found between the Fuzzy Entropy and clinical characteristics, regional homogeneity, gray matter volume and gray matter density. The results indicated that Parkinson’s disease and prodromal Parkinson’s disease patients had abnormal intrinsic neural oscillations, mainly in slow-3 and slow-2 bands, depending on frequency bands. Complexity analysis of resting-state fMRI signals in multiple bands can help probe brain activity and pathophysiology of neurodegenerative diseases.

Download Full-text

Nigrostriatal dopamine-independent resting-state functional networks in Parkinson's disease

NeuroImage ◽

10.1016/j.neuroimage.2015.06.077 ◽

2015 ◽

Vol 119 ◽

pp. 296-304 ◽

Cited By ~ 14

Author(s):

Jee Hyun Ham ◽

Jungho Cha ◽

Jae Jung Lee ◽

Gwang-Min Baek ◽

Mun Kyung Sunwoo ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Resting State ◽

Functional Networks ◽

Nigrostriatal Dopamine

Download Full-text

Altered dynamic functional network connectivity in levodopa-induced dyskinesia of Parkinson's disease

10.21203/rs.3.rs-50663/v1 ◽

2020 ◽

Author(s):

Qianqian Si ◽

Yongsheng Yuan ◽

Caiting Gan ◽

Min Wang ◽

Lina Wang ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Large Scale ◽

Network Connectivity ◽

Functional Network ◽

Sensorimotor Network ◽

Functional Network Connectivity ◽

Strongly Connected ◽

Window Approach ◽

Dynamic Functional Network Connectivity

Abstract Background Traditional measures of static functional connectivity may not completely reflect the dynamic neural activity of levodopa-induced dyskinesia (LID) in Parkinson's disease (PD). This study was aimed to investigate the dynamic changes of large-scale functional network connectivity in the temporal domain in PD patients with and without LID. Methods Using dynamic functional network connectivity (dFNC) analysis, we evaluated 41 PD patients with LID (LID group) and 34 PD patients without LID (No-LID group), on and off their levodopa medications. Group spatial independent component analysis, sliding-window approach and k-means clusters were employed. Results In OFF phase, we found no differences between PD subgroups in temporal properties. In ON phase, compared than No-LID group, LID group occurred more frequently and dwelled longer in strongly connected State 1, characterized by strong connections between visual network (VIS) and other networks. When switching from OFF to ON phase, LID group occurred more frequently and dwelled longer in State 2 and occurred less frequently and dwelled shorter in State 3 (both states were strongly connected), while No-LID group occurred more frequently and dwelled longer in State 5 (weakly connected). Additionally, correlation analysis further demonstrated that the severity of dyskinesia was only associated with frequency of occurrence and dwell time in State 2, dominated by inferior frontal cortex in cognitive executive network (CEN), strongly connecting with sensorimotor network (SMN) and VIS. Conclusions Using dFNC analysis, we found that compared to those without LID, PD patients with LID may be involved in the superexcitation of VIS, as well as interconnections between CEN and SMN, VIS, having impact on inhibition of motor circuits. The dFNC analysis might provide new insights into the neural mechanisms of LID in PD.

Download Full-text

Nigrostriatal dopamine-independent resting-state functional networks in Parkinson's disease

Parkinsonism & Related Disorders ◽

10.1016/j.parkreldis.2015.10.390 ◽

2016 ◽

Vol 22 ◽

pp. e163

Author(s):

Phil Hyu Lee ◽

Jong Sam Baik ◽

Young Ho Sohn

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Resting State ◽

Functional Networks ◽

Nigrostriatal Dopamine

Download Full-text

Gender-specific effect of uric acid on resting-state functional networks in de novo Parkinson's disease

Parkinsonism & Related Disorders ◽

10.1016/j.parkreldis.2018.03.023 ◽

2018 ◽

Vol 52 ◽

pp. 49-54 ◽

Cited By ~ 7

Author(s):

Yoonju Lee ◽

Yeong-Hun Park ◽

Jae Jung Lee ◽

Young H. Sohn ◽

Jong-Min Lee ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Uric Acid ◽

Resting State ◽

De Novo ◽

Specific Effect ◽

Functional Networks ◽

Gender Specific

Download Full-text

Resting-State Network Connectivity in Newly Diagnosed Drug-Naïve Parkinson’s Disease Patients With Mild Cognitive Impairment

10.21203/rs.3.rs-428251/v1 ◽

2021 ◽

Author(s):

Yanbing Hou ◽

Qianqian Wei ◽

Ruwei Ou ◽

Lingyu Zhang ◽

Xiaoqin Yuan ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Resting State ◽

Large Scale ◽

Rating Scale ◽

Fmri Data ◽

Newly Diagnosed ◽

Drug Naïve

Abstract Background: Cognitive impairment (CI) is one of the most frequent non-motor features in Parkinson's disease (PD). The frequency of mild cognitive impairment (MCI) was reported to exceed 40% in a large cohort of newly diagnosed PD patients.Method: Resting-state functional MRI (rs-fMRI) data was collected in 47 newly diagnosed drug-naïve PD patients (including 28 PD patients with MCI (PD-MCI subgroup) and 19 PD patients with cognitively unimpaired (PD-CU subgroup)) and 28 age- and sex-matched healthy controls (HCs). Independent component analysis (ICA) can decompose rs-fMRI data into resting state networks (RSNs). Brain intra- and inter-network alterations were investigated in RSNs among PD-MCI, PD-CU, and HCs groups.Results: Seven large-scale brain networks were extracted. The default mode network (DMN), visual network (VN) and sensorimotor network (SMN) were selectively vulnerable in the PD-MCI subgroup relative to the HC group. In PD-MCI patients, the reduced functional connectivity (FC) within the DMN was positively correlated with brief visuospatial memory test-revised (BVMT-R) scores (memory function); the reduced FC within the VN was positively correlated with clock copying test (CCT) scores (visuospatial function). In whole PD patients, the reduced FC within the SMN was negatively correlated with the Unified PD Rating Scale (UPDRS) part III scores. Moreover, FC between the SMN and limbic network, and between the ventral attention network (VAN) and VN were more prone to be damaged in PD patients.Conclusions: The DMN, VN and SMN were disrupted in PD-MCI patients. FC between the SMN and limbic network, and between the VAN and VN were also impaired in PD patients. The impaired intra- and inter-connectivity could provide further insights into the pathophysiological alterations of brain connectivity in newly diagnosed drug-naïve PD.

Download Full-text