Dynamic functional connectivity in Parkinson's disease patients with mild cognitive impairment and normal cognition

Díez‐Cirarda, María; Strafella, Antonio P.; Kim, Jinhee; Peña, Javier; Ojeda, Natalia; Cabrera‐Zubizarreta, Alberto; Ibarretxe‐Bilbao, Naroa

doi:10.1016/j.nicl.2017.12.013

Cited by 155 publications

(163 citation statements)

References 57 publications

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“…In a recent study investigating the dynamic component of functional connectivity, it was found that subjects with PD and MCI showed reduced dwell time in a hypoconnectivity state and had increased number of state transitions. Meanwhile, there was reduced internetwork connectivity in the hypoconnected state . It should be noted that there are significant limitations to the sliding window method used in the aforementioned study, such that these results must be interpreted carefully .…”

Section: Discussionmentioning

confidence: 90%

Network basis of the dysexecutive and posterior cortical cognitive profiles in Parkinson's disease

et al. 2019

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A BS TRACT: Background: The dual syndrome hypothesis of cognitive impairment in PD suggests that two cognitive profiles exist with distinct pathological mechanisms and a differential risk for further cognitive decline. How these profiles relate to network dysfunction has never been explicitly characterized. Objective: First, to assess intranetwork functional connectivity while considering global connectivity, and second, to relate network connectivity with measures of the dysexecutive and posterior cortical profiles. Methods: Eighty-two subjects with idiopathic PD and 37 age-matched controls underwent resting-state functional MRI and comprehensive neuropsychological assessment. Intranetwork and global connectivity was compared between groups. Measures of the dysexecutive and posterior cortical profiles were related to network connectivity while considering demographic and disease-related covariates. Results: PD subjects show decreased connectivity within several cortical networks. However, only the sensorimotor network displayed a loss of connectivity independent of the observed decreased global connectivity. The dysexecutive factor was independently related to increased motor severity, less education, and decreased connectivity in the sensorimotor network. The posterior cortical factor was related to increased age, less education, decreased connectivity in the central executive network, as well as increased connectivity in the temporal network. Conclusions: Our results provide evidence supporting a network-specific process of degeneration in the sensorimotor network which contributes to the dysexecutive cognitive profile. In contrast, connectivity of the temporal and central executive network is related to the posterior cortical profile, representing a distinct network signature of this syndrome.

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Section: Discussionmentioning

confidence: 90%

Network basis of the dysexecutive and posterior cortical cognitive profiles in Parkinson's disease

et al. 2019

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“…PD patients that did not fulfill these specific criteria were classified as PD with normal cognition (PD‐NC). The details of the PD‐MCI classification have been extensively described in a previous study . According to this criteria, we have investigated the MCI in our sample.…”

Section: Methodsmentioning

confidence: 99%

Apathy and brain alterations in Parkinson's disease: a multimodal imaging study

Lucas‐Jiménez

Ojeda

Peña

et al. 2018

Ann Clin Transl Neurol

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ObjectiveApathy is a common nonmotor symptom in Parkinson's disease (PD) affecting 40% of patients. The aim of the study was to investigate brain changes and correlates of frontal, striatal, and limbic pathways related to subclinical symptoms of apathy in PD patients.MethodsThirty‐two PD patients divided into low‐subclinical symptoms of apathy (LSA) (n = 18) and high‐subclinical symptoms of apathy (HSA) (n = 14) and 25 healthy controls (HC) underwent a T1‐weighted, diffusion‐weighted, and resting‐state functional MRI. Apathy was evaluated with the Lille Apathy Rating Scale. Voxel‐based morphometry, tract‐based spatial statistics, and resting‐state functional connectivity (FC) analyses were performed with a region‐of‐interest approach.Results HSA‐PD showed increased white matter axial and mean diffusivity compared with HC and increased white matter axial diffusivity compared with LSA‐PD. HSA‐PD showed decreased fronto‐striatal and fronto‐limbic FC compared with HC and decreased fronto‐striatal FC compared with LSA‐PD. LSA‐PD showed decreased fronto‐limbic but increased fronto‐striatal FC (hyperconnectivity) compared with HC. No significant differences in grey matter were found. Fronto‐striatal FC and white matter axial and mean diffusivity were associated with symptoms of apathy in HSA‐PD. The fronto‐striatal hyperconnectivity was associated with lower symptoms of apathy in LSA‐PD.InterpretationFindings suggest distinct brain alterations in PD groups with subclinical symptoms of apathy. The increased pattern of activation in LSA‐PD, accompanied with lower apathetic symptomatology, might be the initial manifestation of compensatory mechanisms for dysfunctional limbic pathway. The same pattern of hyperconnectivity has been found in other pathologies and the implication of these abnormalities as a cross‐disease model for initial apathy symptomatology is further discussed.

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“…Meanwhile, a series of dFC studies (Patanaik et al, 2018;Wang et al, 2016;Yeo et al, 2015) assessed two discrete connectivity states representing brain activities of high and low arousal levels of which the latter one was accompanied by an impairment of cognitive performance especially with respect to PVT-lapses, speed of PVT processing and 3-back working memory. Additionally, during an auditory vigilance task (AVT)-based fMRI scanning, the AVT-lapses were significantly positively and negatively correlated with low arousal and high arousal states, respectively (Diez-Cirarda et al, 2018;Marusak et al, 2017;Rashid et al, 2018). Allen et al (2014) attributed this state to the average of large numbers of extra connectivity states that were not adequately distinct or frequent to be separated.…”

Section: Discussionmentioning

confidence: 99%

“…Next, the dFC properties were used for investigating their timevarying abnormalities in specific populations compared to healthy controls Diez-Cirarda et al, 2018;Dong et al, 2018;Rashid et al, 2018). For example, Rashid et al (2018) observed that a high level of autistic traits and autism spectrum disorder diagnosis was closely associated with a globally disconnected FC pattern in 774 6-to 10-year old children.…”

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confidence: 99%

Impact of acute sleep deprivation on dynamic functional connectivity states

Fronczek‐Poncelet

Lange

et al. 2019

Human Brain Mapping

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Sleep deprivation (SD) could amplify the temporal fluctuation of spontaneous brain activities that reflect different arousal levels using a dynamic functional connectivity (dFC) approach. Therefore, we intended to evaluate the test-retest reliability of dFC characteristics during rested wakefulness (RW), and to explore how the properties of these dynamic connectivity states were affected by extended durations of acute sleep loss (28/52 hr). We acquired resting-state fMRI and neuropsychological datasets in two independent studies: (a) twice during RW and once after 28 hr of SD (n = 15) and (b) after 52 hr of SD and after 14 hr of recovery sleep (RS; n = 14).Sliding-window correlations approach was applied to estimate their covariance matrices and corresponding three connectivity states were generated. The test-retest reliability of dFC properties demonstrated mean dwell time and fraction of connectivity states were reliable. After SD, the mean dwell time of a specific state, featured by strong subcortical-cortical anticorrelations, was significantly increased. Conversely, another globally hypoconnected state was significantly decreased. Subjective sleepiness and objective performances were separately positive and negative correlated with the increased and decreased state. Two brain connectivity states and their alterations might be sufficiently sensitive to reflect changes in the dynamics of brain mental activities after sleep loss. K E Y W O R D Sacute sleep deprivation, dynamic connectivity states, light sleep/drowsiness, resting-state fMRI, test-retest reliability

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Dynamic functional connectivity in Parkinson's disease patients with mild cognitive impairment and normal cognition

Cited by 155 publications

References 57 publications

Network basis of the dysexecutive and posterior cortical cognitive profiles in Parkinson's disease

Network basis of the dysexecutive and posterior cortical cognitive profiles in Parkinson's disease

Apathy and brain alterations in Parkinson's disease: a multimodal imaging study

Impact of acute sleep deprivation on dynamic functional connectivity states

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