Publications by authors named "Sorbi S"

Blood-based biomarkers are minimally invasive tools to detect the pathological changes of Alzheimer's Disease (AD). This meta-analysis aims to investigate the use of blood-derived p-tau isoforms (181, 217, 231) to predict conversion from mild cognitive impairment (MCI) to AD dementia (ADD). Studies involving MCI patients with data on blood p-tau isoforms at baseline and clinical diagnosis at follow-up (≥1 year) were included.

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  • This study investigates how language-specific features affect primary progressive aphasia (PPA) symptoms in Italian and English speakers, diverging from the traditionally English-focused research.
  • A comparison was made between 106 Italian speakers and 166 English speakers with various PPA syndromes, highlighting differences in demographic factors and symptom profiles.
  • Results showed significant variations between the cohorts, with English speakers having a higher proportion of nonfluent/agrammatic PPA cases and different patterns of language comprehension and production issues compared to Italian speakers.
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Background And Objectives: Sleep dysfunction is common in patients with neurodegenerative disorders; however, its neural underpinnings remain poorly characterized in genetic frontotemporal dementia (FTD). Hypothalamic nuclei important for sleep regulation may be related to this dysfunction. Thus, we examined changes in hypothalamic structure across the lifespan in patients with genetic FTD and whether these changes related to sleep dysfunction.

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Background And Objectives: Pathogenic variants in the gene cause frontotemporal dementia (FTD-) with marked brain asymmetry. This study aims to assess whether the disease progression of FTD- depends on the initial side of the atrophy. We also investigated the potential use of brain asymmetry as a biomarker of the disease.

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Introduction: Genetic mutation carriers of frontotemporal dementia can remain cognitively well despite neurodegeneration. A better understanding of brain structural, perfusion, and functional patterns in the pre-symptomatic stage could inform accurate staging and potential mechanisms.

Methods: We included 207 pre-symptomatic genetic mutation carriers and 188 relatives without mutations.

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Background And Objectives: Behavioral and neuropsychiatric symptoms are frequent in patients with genetic frontotemporal dementia (FTD). We aimed to describe behavioral and neuropsychiatric phenotypes in genetic FTD, quantify their temporal association, and investigate their regional association with brain atrophy.

Methods: We analyzed data of pathogenic variant carriers in the chromosome 9 open reading frame 72 (), progranulin (), or microtubule-associated protein tau () gene from the Genetic Frontotemporal dementia Initiative cohort study that enrolls both symptomatic pathogenic variant carriers and first-degree relatives of known carriers.

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Background: Inflammation has been proposed as a crucial player in neurodegeneration, including Frontotemporal Dementia (FTD). A few studies on sporadic FTD lead to inconclusive results, whereas large studies on genetic FTD are lacking. The aim of this study is to determine cytokine and chemokine plasma circulating levels in a large cohort of genetic FTD, collected within the GENetic Frontotemporal dementia Initiative (GENFI).

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Background: Long non-coding RNAs (lncRNAs) play crucial roles in gene regulation and are implicated in neurodegenerative diseases, including frontotemporal dementia (FTD). However, their expression patterns and potential as biomarkers in genetic FTD involving Chromosome 9 Open Reading Frame (C9ORF72), Microtubule Associated Protein Tau (MAPT), and Progranulin (GRN) genes are not well understood.

Objective: This study aimed to profile the expression levels of lncRNAs in peripheral blood mononuclear cells collected within the GENetic Frontotemporal dementia Initiative (GENFI).

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The glymphatic system is an emerging target in neurodegenerative disorders. Here, we investigated the activity of the glymphatic system in genetic frontotemporal dementia with a diffusion-based technique called diffusion tensor image analysis along the perivascular space. We investigated 291 subjects with symptomatic or presymptomatic frontotemporal dementia (112 with [] expansion, 119 with [] mutations and 60 with [] mutations) and 83 non-carriers (including 50 young and 33 old non-carriers).

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  • * A study analyzed 4,685 sporadic FTD cases and found significant genetic variants at the MAPT and APOE loci that increase the risk for the disease, indicating potential genetic overlap with other neurodegenerative diseases.
  • * The genetic risk factors appear to vary by population, with MAPT and APOE associations predominantly found in Central/Nordic and Mediterranean Europeans, suggesting a need for further research into these population-specific features for better understanding of sporadic FTD.
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We aimed to assess diagnostic accuracy of plasma p-tau181 and NfL separately and in combination in discriminating Subjective Cognitive Decline (SCD) and Mild Cognitive Impairment (MCI) patients carrying Alzheimer's Disease (AD) pathology from non-carriers; to propose a flowchart for the interpretation of the results of plasma p-tau181 and NfL. We included 43 SCD, 41 MCI and 21 AD-demented (AD-d) patients, who underwent plasma p-tau181 and NfL analysis. Twenty-eight SCD, 41 MCI and 21 AD-d patients underwent CSF biomarkers analysis (Aβ1-42, Aβ1-42/1-40, p-tau, t-tau) and were classified as carriers of AD pathology (AP+) it they were A+/T+ , or non-carriers (AP-) when they were A-, A+/T-/N-, or A+/T-/N+ according to the A/T(N) system.

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Background: Plasma biomarkers are preferable to invasive and expensive diagnostic tools, such as neuroimaging and lumbar puncture that are gold standard in the clinical management of Alzheimer's Disease (AD). Here, we investigated plasma Glial Fibrillary Acidic Protein (GFAP), Neurofilament Light Chain (NfL) and Phosphorylated-tau-181 (pTau 181) in AD and in its early stages: Subjective cognitive decline (SCD) and Mild cognitive impairment (MCI).

Material And Methods: This study included 152 patients (42 SCD, 74 MCI and 36 AD).

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  • - The study aims to differentiate between Subjective Cognitive Decline (SCD) and Mild Cognitive Impairment (MCI) using EEG biomarkers, which requires significant clinical expertise and a complex methodology.
  • - A Transformer model with self-attention is utilized to analyze resting-state EEG data from 56 SCD and 45 MCI patients, incorporating attention scores and time-frequency analysis for better interpretability.
  • - Findings reveal that the model identifies distinct EEG patterns linked to brain activity changes between SCD and MCI, showcasing how attention weights can aid experts in pinpointing relevant EEG features for diagnosis.
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  • Effective longitudinal biomarkers, like cerebral perfusion, are crucial for tracking disease progression in presymptomatic genetic frontotemporal dementia (FTD) carriers.
  • The study examined cerebral perfusion in various genetic FTD groups using advanced MRI techniques and found declines in gray matter perfusion across all groups, with specific regional patterns.
  • Results suggest that monitoring cerebral perfusion could serve as an early biomarker for detecting FTD before symptoms appear, especially highlighting differences among genetic subgroups.
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Introduction: We aimed to expand the range of the frontotemporal dementia (FTD) phenotypes assessed by the Clinical Dementia Rating Dementia Staging Instrument plus National Alzheimer's Coordinating Center Behavior and Language Domains (CDR plus NACC FTLD).

Methods: Neuropsychiatric and motor domains were added to the standard CDR plus NACC FTLD generating a new CDR plus NACC FTLD-NM scale. This was assessed in 522 mutation carriers and 310 mutation-negative controls from the Genetic Frontotemporal dementia Initiative (GENFI).

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Mixed primary progressive aphasia (mPPA) accounts for a substantial proportion of primary progressive aphasia (PPA) cases. However, the lack of a standardised definition of this condition has resulted in misclassification of PPA cases. In this study, we enrolled 55 patients diagnosed with PPA, comprising 12 semantic variant (svPPA), 23 logopenic variant (lvPPA), and 20 mPPA cases with linguistic characteristics consistent with both svPPA and lvPPA (s/lvPPA).

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Background: Primary progressive aphasia (PPA) diagnostic criteria underestimate the complex presentation of semantic (sv) and logopenic (lv) variants, in which symptoms partially overlap, and mixed clinical presentation (mixed-PPA) and heterogenous profile (lvPPA +) are frequent. Conceptualization of similarities and differences of these clinical conditions is still scarce.

Methods: Lexical, semantic, phonological, and working memory errors from nine language tasks of sixty-seven PPA were analyzed using Profile Analysis based on Multidimensional Scaling, which allowed us to create a distributed representation of patients' linguistic performance in a shared space.

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Amyloid-β deposition is the pathological hallmark of both cerebral amyloid angiopathy and Alzheimer's disease dementia, clinical conditions that can share cognitive decline and positive Amyloid-PET scan. A case is reported involving an 82-year-old Italian female who presented initially a memory deficit, later transient focal neurologic episodes, and finally two symptomatic lobar intracerebral hemorrhages. In light of these events, MRI and PET imaging findings, acquired before cerebral hemorrhages, are reconsidered and discussed, highlighting the utility of Amyloid-PET in supporting an diagnosis of cerebral amyloid angiopathy.

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Introduction: Early identification of Alzheimer's disease (AD) is necessary for a timely onset of therapeutic care. However, cortical structural alterations associated with AD are difficult to discern.

Methods: We developed a cortical model of AD-related neurodegeneration accounting for slowing of local dynamics and global connectivity degradation.

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  • Researchers studied how empathy changes in people with different stages of Alzheimer's Disease, looking at those with mild memory problems and more severe symptoms.
  • They found that personal distress, or feeling upset for others, increased as Alzheimer's progressed, while the ability to see things from others' perspectives decreased.
  • The study suggests that these empathy changes could help identify Alzheimer's disease early on.
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Background: Blood neurofilament light chain (NfL) is increasingly considered as a key trial biomarker in genetic frontotemporal dementia (gFTD). We aimed to facilitate the use of NfL in gFTD multicentre trials by testing its (1) reliability across labs; (2) reliability to stratify gFTD disease stages; (3) comparability between blood matrices and (4) stability across recruiting sites.

Methods: Comparative analysis of blood NfL levels in a large gFTD cohort (GENFI) for (1)-(4), with n=344 samples (n=148 presymptomatic, n=11 converter, n=46 symptomatic subjects, with mutations in , or ; and n=139 within-family controls), each measured in three different international labs by Simoa HD-1 analyzer.

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  • The study aimed to validate clinical criteria for diagnosing mild cognitive and/or behavioral and/or motor impairment (MCBMI) in cases suspected of frontotemporal dementia (FTD).
  • A total of 398 participants were studied, including 117 FTD variant carriers with mild symptoms and 281 healthy controls, with some undergoing additional neurobiological assessments.
  • The MCBMI criteria effectively distinguished between affected individuals and healthy controls, with classification accuracy improving significantly when incorporating blood neurofilament light levels and anterior cingulate atrophy measurements.
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Background: The age-related decrease in reserve and resistance to stressors is recognized as frailty, one of the most significant challenges identified in recent years. Despite a well-acknowledged association of frailty with cognitive impairment, depression, and gray matter morphology, no clear data are available regarding the nature of this relationship. This cross-sectional study aims to disentangle the role of the behavioral, neuropsychological, and neural components as predictors or moderators of frailty.

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