Background: The insula is a central brain hub involved in cognition and affected in Parkinson's disease (PD). The aim of this study was to assess functional connectivity (FC) and betweenness centrality (BC) of insular sub-regions and their relationship with cognitive impairment in PD.
Methods: Whole-brain 3D-T1, resting-state functional MRI and a battery of cognitive tests (CAMCOG) were included for 53 PD patients and 15 controls. The insular cortex was segmented into ventral (vAI) and dorsal (dAI) anterior and posterior sub-regions. Connectivity between insular sub-regions and resting-state networks was assessed and related to cognition; BC was used to further explore nodes associated with cognition.
Results: Cognitive performance was significantly lower in PD patients compared to controls (p < 0.01) and was associated with FC of the dAI with default mode network (DMN) (adjusted R = 0.37, p < 0.001). In controls, cognitive performance was positively related to FC of the dAI with the fronto-parietal network (FPN) only (adjusted R = 0.5, p = 0.003). Regionally, FC of the dAI with the anterior cingulate cortex (ACC) was significantly reduced in PD (F(1,65) = 11, p = 0.002) and correlated with CAMCOG (r = 0.4, p = 0.001). DMN and FPN showed increased BC in PD which correlated with cognition and reduced connectivity of dAI with the ACC (r = -0.33, p = 0.014 and r = -0.44, p = 0.001 respectively).
Conclusions: These results highlight the relevance of the insula in cognitive dysfunction in PD. Disconnection of the dAI with ACC was related to altered centrality in the DMN and FPN only in patients. Disturbance in this network triad appears to be particularly relevant for cognitive impairment in PD.
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http://dx.doi.org/10.1016/j.nicl.2020.102364 | DOI Listing |
Age Ageing
January 2025
Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Queen Mary University of London, London, E13 8SP, United Kingdom of Great Britain and Northern Ireland.
Background: Behavioural and psychological symptoms of dementia (BPSD) can complicate acute hospital care, but evidence on BPSD in this setting is heterogeneous.
Objective: To determine the prevalence of BPSD in acute hospitals and explore related risk factors, treatments, and outcomes (PROSPERO: CRD42023406294).
Methods: We conducted a systematic review and meta-analysis by searching Cochrane Library, MEDLINE, and PsycINFO for studies on BPSD prevalence among older people with dementia during their acute hospital admissions (up to 5 March 2024).
J Neurooncol
January 2025
Department of Neurosurgery, MacKay Memorial Hospital, No. 92, Sec. 2, Zhongshan N. Rd, Taipei, 10449, Taiwan.
Purpose: Advances in multidisciplinary treatment of childhood brain tumors have significantly prolonged survival and reduced treatment-related complications. This makes the accessibility of digital neurocognitive assessment an important issue in the post-pandemic era.
Methods: Twenty pediatric brain tumor patients were recruited between August 2023 and August 2024, and a total of eight standardized Cambridge Neuropsychological Test Automated Battery (CANTAB) tests targeting executive function, memory, and attention were applied on a digital system.
J Med Syst
January 2025
Department of Intensive Care Medicine, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.
Purpose: Mobile health plays an important role in providing individualized information about the health status of patients. Limited information exists on intensive care unit (ICU) patients with the risk of suffering from the post-intensive care syndrome (PICS), summarizing long-term physical, mental and cognitive impairment. This web-based survey study aims to identify specific needs of former ICU patients for utilizing a newly developed, so called Post-Intensive Care Outcome Surveillance (PICOS) app to collect relevant PICS-related parameters.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
January 2025
Reina Sofia Alzheimer Center, CIEN Foundation, ISCIII, Madrid, Spain.
Purpose: Imaging biomarkers bear great promise for improving the diagnosis and prognosis of cognitive impairment in Parkinson's disease (PD). We compared the ability of three commonly used neuroimaging modalities to detect cortical changes in PD patients with mild cognitive impairment (PD-MCI) and dementia (PDD).
Methods: 53 cognitively normal PD patients (PD-CN), 32 PD-MCI, and 35 PDD underwent concurrent structural MRI (sMRI), diffusion-weighted MRI (dMRI), and [F]FDG PET.
Eur J Neurosci
February 2025
Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
This Bayesian network meta-analysis method was used to assess the effect of novel treatments on global cognition in patients with Parkinson's disease (PD). We searched randomized controlled trials from PubMed, Cochrane Library, Web of Science and Embase to investigate novel treatments for global PD cognition until April 10, 2024. Effect size measures were standardized mean differences with 95% confidence intervals.
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