PhD Scientific Days 2025

Neurosciences

Investigation of fMRI-based Brain Entropy as an Early Diagnostic Biomarker for Dementia Detection

Előadó neve

Mr. Bolla Gergő

Neptun code

GGJKVS

Előadó munkahelye

Semmelweis University

Előadó telefonszáma

+36307569425

Előadó e-mail címe

gergobolla99@gmail.com

Az előadás címe

Investigation of fMRI-based Brain Entropy as an Early Diagnostic Biomarker for Dementia Detection

Szerző(k) neve és munkahelye

Gergő Bolla¹, Dalida Berente², Viktoria Rosenfeld¹, Andras Attila Horvath³

1: Semmelweis University, Doctoral Studies
2: Semmelweis University, Department of Neurology and Neurointerventon
3: Semmelweis University, Department of Anatomy Histology and Embryology

Bemutatás módja

Szóbeli

Szekció

Neurosciences

Language of the presentation

English

Preferred session

Neurosciences

Összefoglaló szövege

Introduction
Early diagnosis of Alzheimer's disease (AD) is key to slowing the progression of the disease. Brain Entropy (BEN), a measure of the complexity and irregularity of brain activity, may be a promising biomarker for early detection of AD.
Aims
The aim of our study is to investigate differences in BEN and identify brain regions that show difference between AD, Subjective Cognitive Decline (SCD), Mild Cognitive Impairment (MCI) and Healthy Control (HC) groups.
Methods
Subjects were selected from the Gyula Nyírő National Institute of Psychiatry and Addictology (n=192; HC=79, SCD=46, MCI=20, AD=47). Resting-state fMRI (rs-fMRI) data were used to calculate BEN measures for 164 regions of interest. ANCOVA and post-hoc Tukey tests were used to identify brain regions that are significantly different between groups with age and sex included as covariates.
Results
Significant BEN differences were found between the AD, MCI, SCD and HC groups in the left inferior temporal gyrus, the caudate nucleus and the amygdala (p<0.001). Ben values followed an inverse U shape in the caudate and amygdala: increasing through SCD to MCI and decreasing in AD. In contrast, we observed an inverse pattern in the left inferior temporal gyrus: decreasing in SCD throughout MCI and increasing in AD.
Discussion
Our results point to differences in BEN patterns in AD, MCI and SCD. The involvement of the inferior temporal gyrus, the caudate nucleus and the amygdala suggests that complex neurodegenerative processes in AD affecting motor control and emotional regulation. The different BEN patterns require further research to understand the mechanisms underlying these changes. Our results support the potential use of BEN as a biomarker for early diagnosis of AD and for monitoring disease progression.
Funding:
THE MINISTRY OF CULTURE AND INNOVATION EKÖP-2024 NEW NATIONAL EXCELLENCE PROGRAMME, FUNDED BY THE NATIONAL FUND FOR RESEARCH, DEVELOPMENT AND INNOVATION

University

Semmelweis University

Supervisor

Andras Attile Horvath MD. PhD.

Publication of my abstract

I do not give consent to the publication of my abstract on the website of the congress.

phd.section.field

in doctoral studies before complex exam (PhD)

Kind

Szabad

Status

elfogadva

Accepted presentation method

szóbeli

Előadás fájl jóváhagyás

jóváhagyta

Előadó

9062

Start

09:30

End

09:45