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RECASENS ESPARRAGUERA PAU_7934187.pdf (2.97 MB)

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Bachelor thesis

Publication date

2023-06

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cc-by-nc-nd (c) Recasens, 2023
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/201771

Regional homogeneity, ALFF and fALFF in rs-fMRI in a Alzheimer’s disease rat model

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Abstract

In this study, a Python algorithm was implemented for calculating ReHo, ALFF, and fALFF from rs-fMRI images using AFNI software for an Alzheimer’s disease rat model. The study included both genetically modified and wild-type rats, with subsets of each undergoing specific training. The effect of neighborhood size on ReHo calculation was studied, and the temporal evolution of the means for each process was analyzed. Comparisons between the different rat groups revealed greater differences in female rat groups compared to male groups

Description

Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2023, Tutor: Raúl Tudela Fernández

Subject

Neuroimatge, Python (Llenguatge de programació), Treballs de fi de grau

Subject (English)

Neuroimaging, Python (Computer program language), Bachelor's theses

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Treballs Finals de Grau (TFG) - Física

Citation

RECASENS ESPARRAGUERA, Pau. Regional homogeneity, ALFF and fALFF in rs-fMRI in a Alzheimer’s disease rat model. [consulted: 15 of August of 2026]. Available at: https://hdl.handle.net/2445/201771

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