Literature DB >> 33169858

Connectivity Correlates of Anxiety Symptoms in Drug-Naive Parkinson's Disease Patients.

Rosa De Micco1,2, Sara Satolli1,2, Mattia Siciliano1,3, Federica Di Nardo1,2, Giuseppina Caiazzo1,2, Antonio Russo1,2, Alfonso Giordano4, Fabrizio Esposito5, Gioacchino Tedeschi1,2, Alessandro Tessitore1,2.   

Abstract

BACKGROUND: Anxiety symptoms are common in Parkinson's disease (PD). A link between anxiety and cognitive impairment in PD has been demonstrated.
OBJECTIVES: Using resting-state functional magnetic resonance imaging, we investigated intrinsic brain network connectivity correlates of anxiety symptoms in a cohort of drug-naive, cognitively unimpaired patients with PD.
METHODS: The intrinsic functional brain connectivity of 25 drug-naive, cognitively unimpaired PD patients with anxiety, 25 without anxiety, and 20 matched healthy controls was compared. All patients underwent a detailed behavioral and neuropsychological evaluation. Anxiety presence and severity were assessed using the Parkinson's Disease Anxiety Scale. Single-subject and group-level independent component analyses were used to investigate functional connectivity differences within and between the major resting-state networks.
RESULTS: Decreased connectivity within the default-mode and sensorimotor networks (SMN), increased connectivity within the executive-control network (ECN), and divergent connectivity measures within salience and frontoparietal networks (SN and FPN) were detected in PD patients with anxiety compared with those without anxiety. Moreover, patients with anxiety showed a disrupted inter-network connectivity between SN and SMN, ECN, and FPN. Anxiety severity was correlated with functional abnormalities within these networks.
CONCLUSIONS: Our findings demonstrated that an abnormal intrinsic connectivity within and between the most reported large-scale networks may represent a potential neural correlate of anxiety symptoms in drug-naive PD patients even in the absence of clinically relevant cognitive impairment. We hypothesize that these specific cognitive and limbic network architecture changes may represent a potential biomarker of treatment response in clinical trials.
© 2020 International Parkinson and Movement Disorder Society. © 2020 International Parkinson and Movement Disorder Society.

Entities:  

Keywords:  Parkinson's disease; anxiety; drug naive; magnetic resonance imaging; resting-state networks

Mesh:

Substances:

Year:  2020        PMID: 33169858     DOI: 10.1002/mds.28372

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


  5 in total

1.  Predictors of anxiety in Parkinson's disease: results from a 3-year longitudinal cohort study.

Authors:  Jessie S Gibson; Joseph L Flanigan; James T Patrie; W Alex Dalrymple; Madaline B Harrison
Journal:  Neurol Sci       Date:  2022-10-11       Impact factor: 3.830

2.  Distinct neural circuits are associated with subclinical neuropsychiatric symptoms in Parkinson's disease.

Authors:  Sule Tinaz; Serageldin Kamel; Sai S Aravala; Mine Sezgin; Mohamed Elfil; Rajita Sinha
Journal:  J Neurol Sci       Date:  2021-02-21       Impact factor: 3.181

Review 3.  Insights into the Pathophysiology of Psychiatric Symptoms in Central Nervous System Disorders: Implications for Early and Differential Diagnosis.

Authors:  Giulia Menculini; Elena Chipi; Federico Paolini Paoletti; Lorenzo Gaetani; Pasquale Nigro; Simone Simoni; Andrea Mancini; Nicola Tambasco; Massimiliano Di Filippo; Alfonso Tortorella; Lucilla Parnetti
Journal:  Int J Mol Sci       Date:  2021-04-23       Impact factor: 5.923

4.  Altered Intra- and Inter-Network Connectivity in Drug-Naïve Patients With Early Parkinson's Disease.

Authors:  Weiqi Zeng; Wenliang Fan; Xiangchuang Kong; Xiaoming Liu; Ling Liu; Ziqin Cao; Xiaoqian Zhang; Xiaoman Yang; Chi Cheng; Yi Wu; Yu Xu; Xuebing Cao; Yan Xu
Journal:  Front Aging Neurosci       Date:  2022-02-14       Impact factor: 5.750

5.  Altered Dynamic Functional Connectivity in de novo Parkinson's Disease Patients With Depression.

Authors:  Jianxia Xu; Miao Yu; Hui Wang; Yuqian Li; Lanting Li; Jingru Ren; Chenxi Pan; Weiguo Liu
Journal:  Front Aging Neurosci       Date:  2022-02-14       Impact factor: 5.750

  5 in total

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