Literature DB >> 28942477

Cognitive performance in mid-stage Parkinson's disease: functional connectivity under chronic antiparkinson treatment.

Roxana Vancea1, Kristina Simonyan1,2, Maria Petracca1,3, Miroslaw Brys4, Alessandro Di Rocco4, Maria Felice Ghilardi5, Matilde Inglese6,7,8,9.   

Abstract

Cognitive impairment in Parkinson's disease (PD) is related to the reorganization of brain topology. Although drug challenge studies have proven how levodopa treatment can modulate functional connectivity in brain circuits, the role of chronic dopaminergic therapy on cognitive status and functional connectivity has never been investigated. We sought to characterize brain functional topology in mid-stage PD patients under chronic antiparkinson treatment and explore the presence of correlation between reorganization of brain architecture and specific cognitive deficits. We explored networks topology and functional connectivity in 16 patients with PD and 16 matched controls through a graph theoretical analysis of resting state-functional MRI data, and evaluated the relationships between network metrics and cognitive performance. PD patients showed a preserved small-world network topology but a lower clustering coefficient in comparison with healthy controls. Locally, PD patients showed lower degree of connectivity and local efficiency in many hubs corresponding to functionally relevant areas. Four disconnected subnetworks were also identified in regions responsible for executive control, sensory-motor control and planning, motor coordination and visual elaboration. Executive functions and information processing speed were directly correlated with degree of connectivity and local efficiency in frontal, parietal and occipital areas. While functional reorganization appears in both motor and cognitive areas, the clinical expression of network imbalance seems to be partially compensated by the chronic levodopa treatment with regards to the motor but not to the cognitive performance. In a context of reduced network segregation, the presence of higher local efficiency in hubs regions correlates with a better cognitive performance.

Entities:  

Keywords:  Cognition; Functional connectivity; Graph theory; Parkinson’s disease

Mesh:

Substances:

Year:  2019        PMID: 28942477      PMCID: PMC5866203          DOI: 10.1007/s11682-017-9765-0

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  29 in total

1.  Dopaminergic modulation of the default mode network in Parkinson's disease.

Authors:  Pauline Delaveau; Pilar Salgado-Pineda; Philippe Fossati; Tatiana Witjas; Jean-Philippe Azulay; Olivier Blin
Journal:  Eur Neuropsychopharmacol       Date:  2010-07-31       Impact factor: 4.600

Review 2.  Cognitive impairment in patients with Parkinson's disease: diagnosis, biomarkers, and treatment.

Authors:  Per Svenningsson; Eric Westman; Clive Ballard; Dag Aarsland
Journal:  Lancet Neurol       Date:  2012-08       Impact factor: 44.182

3.  Rhythm-specific modulation of the sensorimotor network in drug-naive patients with Parkinson's disease by levodopa.

Authors:  Fabrizio Esposito; Alessandro Tessitore; Alfonso Giordano; Rosita De Micco; Antonella Paccone; Renta Conforti; Giuseppe Pignataro; Lucio Annunziato; Gioacchino Tedeschi
Journal:  Brain       Date:  2013-02-18       Impact factor: 13.501

4.  Functional connectivity alterations in the motor and fronto-parietal network relate to behavioral heterogeneity in Parkinson's disease.

Authors:  Griet Vervoort; Kaat Alaerts; Aniek Bengevoord; Evelien Nackaerts; Elke Heremans; Wim Vandenberghe; Alice Nieuwboer
Journal:  Parkinsonism Relat Disord       Date:  2016-01-29       Impact factor: 4.891

5.  Functional connectome assessed using graph theory in drug-naive Parkinson's disease.

Authors:  Chun Yan Luo; Xiao Yan Guo; Wei Song; Qin Chen; Bei Cao; Jing Yang; Qi Yong Gong; Hui-Fang Shang
Journal:  J Neurol       Date:  2015-05-01       Impact factor: 4.849

6.  Network correlates of the cognitive response to levodopa in Parkinson disease.

Authors:  P J Mattis; C C Tang; Y Ma; V Dhawan; D Eidelberg
Journal:  Neurology       Date:  2011-08-17       Impact factor: 9.910

7.  Characterizing structural neural networks in de novo Parkinson disease patients using diffusion tensor imaging.

Authors:  S Nigro; R Riccelli; L Passamonti; G Arabia; M Morelli; R Nisticò; F Novellino; M Salsone; G Barbagallo; A Quattrone
Journal:  Hum Brain Mapp       Date:  2016-07-28       Impact factor: 5.038

8.  A positive influence of vision on motor symptoms during sensory attention focused exercise for Parkinson's disease.

Authors:  Michael D Sage; Quincy J Almeida
Journal:  Mov Disord       Date:  2010-01-15       Impact factor: 10.338

9.  Default-mode network connectivity in cognitively unimpaired patients with Parkinson disease.

Authors:  Alessandro Tessitore; Fabrizio Esposito; Carmine Vitale; Gabriella Santangelo; Marianna Amboni; Antonio Russo; Daniele Corbo; Giovanni Cirillo; Paolo Barone; Gioacchino Tedeschi
Journal:  Neurology       Date:  2012-10-24       Impact factor: 9.910

Review 10.  Acute and chronic cognitive effects of levodopa and dopamine agonists on patients with Parkinson's disease: a review.

Authors:  Michele Poletti; Ubaldo Bonuccelli
Journal:  Ther Adv Psychopharmacol       Date:  2013-04
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  1 in total

1.  Disrupted morphological grey matter networks in early-stage Parkinson's disease.

Authors:  Xueling Suo; Du Lei; Nannan Li; Wenbin Li; Graham J Kemp; John A Sweeney; Rong Peng; Qiyong Gong
Journal:  Brain Struct Funct       Date:  2021-04-07       Impact factor: 3.270

  1 in total

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