9 results match your criteria: "IRCCS Istituti Clinici Scientifici Maugeri di Milano[Affiliation]"

Disorder of consciousness: Structural integrity of brain networks for the clinical assessment.

Ann Clin Transl Neurol

March 2023

Diagnostic and Technology Department, Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Aim: When studying brain networks in patients with Disorders of Consciousness (DoC), it is important to evaluate the structural integrity of networks in addition to their functional activity. Here, we investigated whether structural MRI, together with clinical variables, can be useful for diagnostic purposes and whether a quantitative analysis is feasible in a group of chronic DoC patients.

Methods: We studied 109 chronic patients with DoC and emerged from DoC with structural MRI: 65 in vegetative state/unresponsive wakefulness state (VS/UWS), 34 in minimally conscious state (MCS), and 10 with severe disability.

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The main concerns in targeted "" are the extraction and proper handling of biological samples to avoid interferences and achieve a quantitative yield well representing all the sphingolipids in the matrix. Our work aimed to compare different pre-analytical procedures and to evaluate a derivatization step for sphingoid bases quantification, to avoid interferences and improve sensitivity. We tested four protocols for the extraction of sphingolipids from human plasma, at different temperatures and durations, and two derivatization procedures for the conversion of sphingoid bases into phenylthiourea derivatives.

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Background: SARS-CoV-2 infection entails neuroinvasive, neuroinflammatory, and treatment-related features accounting for cognitive deficits in COVID-19-recovered patients. Although screening for such dysfunctions in this population is considered clinically relevant, contributions to cognitive phenotyping including premorbid and disease-related confounders are scarcely represented. This study thus aimed at describing the cognitive outcome at the function-/domain-level of post-infectious SARS-CoV-2 patients being already at risk (RCD +) or not (RCD -) for cognitive decline.

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Background: About 26 million people are living with HIV in sub-Saharan Africa. The DREAM programme in sub-Saharan Africa provides free healthcare for HIV/AIDS and a range of chronic non-communicable diseases. HIV is a risk factor for neurological non-communicable diseases including stroke and epilepsy, which themselves are associated with headache, and HIV may be a direct risk factor for headache.

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Resting-State fMRI in Chronic Patients with Disorders of Consciousness: The Role of Lower-Order Networks for Clinical Assessment.

Brain Sci

March 2022

Neuroradiology Unit, Diagnostic and Technology Department, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy.

Resting-state fMRI (rs-fMRI) is a widely used technique to investigate the residual brain functions of patients with Disorders of Consciousness (DoC). Nonetheless, it is unclear how the networks that are more associated with primary functions, such as the sensory-motor, medial/lateral visual and auditory networks, contribute to clinical assessment. In this study, we examined the rs-fMRI lower-order networks alongside their structural MRI data to clarify the corresponding association with clinical assessment.

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Article Synopsis
  • The study applied various entropy measures, specifically Lempel-Ziv complexity, amplitude coalition entropy (ACE), and synchrony coalition entropy (SCE), to EEG signals from 32 patients with different chronic disorders of consciousness.
  • It found that differences in theta and alpha band activity could effectively classify patients between minimal consciousness state (MCS) and vegetative state/unresponsive wakefulness state (VS/UWS), particularly in the left hemisphere and midline regions.
  • ACE was the most effective measure for highlighting significant differences, indicating that higher entropy values in MCS correlated with better consciousness preservation, as shown by the patients' scores on the coma recovery scale revised (CRS-R).
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During an acute cardiac event, Takotsubo Syndrome (TTS) and Acute Coronary Syndrome (ACS) apparently share very similar clinical characteristics. Since only a few inconsistent studies have evaluated the psychological features that characterize these different patients, the aim of the present explorative research was to investigate if post-recovery TTS and ACS patients present different psychological profiles. We also investigated whether the occurrence of acute psychological stressful episodes that had occurred prior to the cardiac event could be found in either syndrome.

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Sleep disorders are among the main comorbidities in patients with a Disorder of Consciousness (DOC). Given the key role of sleep in neural and cognitive functioning, detecting and treating sleep disorders in DOCs might be an effective therapeutic strategy to boost consciousness recovery and levels of awareness. To date, no systematic reviews have been conducted that explore the effect of sleep treatments in DOCs; thus, we systematically reviewed the existing studies on both pharmacological and non-pharmacological treatments for sleep disorders in DOCs.

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COVID-19 and mental disorders in healthcare Personnel: A novel framework to develop Personas from an online survey.

J Biomed Inform

February 2022

Electronics, Information and Bioengineering Dpt., Politecnico di Milano, 20133 Milano, Italy; Consiglio Nazionale delle Ricerche, Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni, 20133 Milan, Italy. Electronic address:

Background: In this paper we propose a novel framework for the definition of Personas for healthcare workers based on an online survey, with the aim of highlighting different levels of risk of developing mental disorders induced by COVID-19 and tailor psychological support interventions.

Methods: Data were gathered from Italian healthcare workers between April and May 2020. Information about socio-demographic characteristics, current lifestyle, occupational, COVID-19 infection, and psychological indexes (Maslach Burnout Inventory, Impact of Event Scale and Patient Health Questionnaire) was collected.

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