Wyniki wyszukiwania - BazTech

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Ogród w terapii schizofrenii

Myszka Izabela, Chotkowska Katarzyna, Zadrożna Aleksandra, Augustyniak Katarzyna

PUA Przestrzeń Urbanistyka Architektura

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2022

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Vol. 2

67--86

PL

Rozumienie ogrodu jako miejsca wzbudzającego poczucie dobrostanu zwraca uwagę na wykorzystanie hortiterapii. Celem opracowania jest określenie ogólnych zasad projektowania i urządzania ogrodu wspierającego terapię schizofrenii. Analizy literatury uszczegółowiono w badaniach projektów, które powstawały we współpracy architektów krajobrazu, terapeutów i chorych. Wyniki dotyczące form, funkcji i sesnoryki pozwoliły na opracowanie wytycznych do projektowania ogrodu dla osób w remisji schizofrenii.

EN

Understanding the garden as a place that evokes a sense of well-being draws attention to the use of hortitherapy. Analyses of literature have been performed in research projects created in cooperation with landscape architects, therapists and patients. The results of these analyses with regard to forms, functions and senses have enabled the development of guidelines for garden design for people in remission from schizophrenia.

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Altered modular organization in schizophrenia patients and analysis using supervised association rule mining

GeethaRamani R., Sivaselvi K.

Biocybernetics and Biomedical Engineering

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2016

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Vol. 36, no. 2

397--412

EN

Complex neuro-degenerative disorders affect the intrinsic topological architecture of brain connectivity. There are very few studies concentrating on the occurrence of modular changes in the structural and functional connectome of people diagnosed with Schizophrenia. In this study, group averaged analysis on modular organization of 15 healthy and 12 Schizophrenic subjects were performed to understand the topological alterations occurring in brain networks of diseased against normal. The major contributing regions for changes in optimal brain architecture were also identified. It also involves the investigation of individual subject's functional connectivity and the attempts were made to extract the modular specific roles of brain regions through supervised association rule mining. On comparison with group average measurements, it was found to produce similar results and it was understood that inter and intra-module connections evidently varied in Schizophrenia because of alterations in extremely organized modular architecture. This is believed to provide new insights in understanding the complex neuro-degenerative disorder through analysis on modular organization of functional brain networks. Highly influential regions were also determined. These regions were found to be potential biomarkers for Schizophrenia diagnosis.

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A texture-based method for classification of schizophrenia using fMRI data

Pouyan A. A., Shahamat H.

Biocybernetics and Biomedical Engineering

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2015

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Vol. 35, no. 1

45--53

EN

This paper presents a texture-based method for classification of individuals into schizophrenia patient and healthy control groups based on their resting state functional magnetic resonance imaging (R-fMRI) data. In this research a combination of three different classifiers is proposed for classification of subjects into predefined groups. For all fMRI scans, the number of time points is reduced using principal component analysis (PCA) method, which projects data onto a new space. Then, independent component analysis (ICA) algorithm is used for estimation of the independent components (ICs). ICs are sorted based on their variance. For feature extraction a texture based operator called volume local binary patterns (VLBP) is applied on the estimated ICs. In order to obtain a set of features with large discrimination power, a two-sample t-test method is used. Finally, a test subject is classified into patient or control group using a combination of three different classifiers based on a majority vote method. The performance of the proposed method is evaluated using a leave-one-out cross validation method. Experimental results reveal that the proposed method has a very high accuracy.