Aim: The aim of the study was assess the meaning of preferred temporal orientation for results of alcohol dependence therapy.
Methods: One hundred and sixteen (116) (95 men and 21 women) alcohol addict patients were evaluated at the beginning of the alcohol addiction outpatient therapy. The temporal orientation and attitude for time was assessed by using Temporal Orientation Questionnaire-AION and Carpe Diem, Fatalism and Hedonism Scale by Sobol-Kwapinska.
Results: The results showed that alcohol addict patients were in the highest degree focused on the past and the present in the hedonism and fatalism dimensions, while being relatively focused in the lowest degree on the present carpe diem dimension and the future at the beginning of the therapy. Men and women at the beginning of the therapy varied in some dimensions of temporal orientation. The differences occurred also between patients who finished and discontinued alcohol dependence therapy.
Conclusions: Patients at the begging of alcohol addiction therapy prefer past and present temporal orientation. 1. There are differences between temporal orientation preferred by men and women. 2. Future temporal orientation is beneficial to finish addiction therapy by addict men. 3. Women who finish therapy are focused more on the past and hedonistic present orientation than women who discontinued therapy.
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Background: Alzheimer's disease (AD) has been mainly thought of as a disease involving gray matter changes. However, despite known correlations between white matter integrity and cognition, less is known about how disruptions to white matter during the development of AD underpin cognitive impairment. This study tests the associations between disruptions to white matter along the AD clinical continuum (cognitive unimpaired (CU): cognitive impaired (CI) - Mild Cognitive Impairment (MCI) and AD) and cognition using diffusion tensor imaging (DTI) and multi-tissue neurite and orientation dispersion and density imaging (mtNODDI) models of the multi-shell connectome diffusion MRI (ms-dMRI) data from the Alzheimer's Disease Connectome Project (ADCP).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK.
Background: With an aging population, it is essential to identify subtle features of brain pathology - both neurodegenerative and vascular - at an early stage, which may predict risk of future decline. We used diffusion MRI (dMRI) to assess grey matter cortical microstructure and investigate associations with 1) Alzheimer's disease (AD) pathology and 2) mid/late-life vascular risk (as measured by blood pressure (BP)).
Method: 151 asymptomatic individuals from the British 1946 birth cohort underwent combined PET/MR with [18F]florbetapir Aβ-PET at ∼73yrs, and [18F]MK-6240 tau-PET at ∼76yrs.
Background: Attention deficits are notable in Lewy body dementia (LBD) and in Alzheimer's disease (AD), however, its underlying neurobiology and neuropathology are unclear. Functional magnetic resonance imaging (fMRI) and electroencephalograph (EEG) provides information about attention deployment and regional neural oscillatory deficits in LBD and AD. In this study, we combined fMRI and EEG to detect neural correlates of attention dysfunctions in LBD and AD.
View Article and Find Full Text PDFBackground: A growing body of evidence demonstrates the relationship between cardiovascular risk and the risk of dementia development. Researchers have identified several genetic links between cardiovascular diseases and Alzheimer's disease, including the apolipoprotein E and methylenetetrahydrofolate reductase (MTHFR) genes. Here we evaluated the impact of cardiovascular polygenic risk on pathological brain changes associated with Alzheimer's disease, to elucidate the potential mechanism by which cardiovascular risk induces brain damage.
View Article and Find Full Text PDFBackground: Dementia with Lewy bodies (DLB) frequently co-occurs with Alzheimer's disease (AD) pathologies, exacerbating disease progression. Biophysical models of diffusion imaging data, such as Neurite Orientation Dispersion and Density Imaging (NODDI), may reveal novel insights into the neurobiological substrates of AD on cortical and white matter microstructural injury.
Method: A cohort of 57 DLB patients on the DLB spectrum (33 clinically probable DLB and 14 prodromal DLB) and 57 cognitively unimpaired (CU) controls underwent NODDI and PET imaging with [F]-Flortaucipir and [C]-PiB (Table 1).
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