PhD Scientific Days 2024

Poster Session I - Neurosciences 2.

Fractal Connectivity Dynamics: Correlates of Decreased Cognitive Performance in Healthy Aging

Előadó neve

Dr. Czoch, Ákos

Neptun code

FCLSZR

Előadó munkahelye

Department of Physiology, Semmelweis University, Budapest, Hungary

Előadó telefonszáma

06202825728

Előadó e-mail címe

czoch97@gmail.com

Az előadás címe

Fractal Connectivity Dynamics: Correlates of Decreased Cognitive Performance in Healthy Aging

Szerző(k) neve és munkahelye

Ákos Czoch¹, Zalán Káposzta¹, Péter Mukli^1,2,3,4, Orestis Stylianou^1,5,6,7, András Eke^1,8, Frigyes Sámuel Rácz^1,9,10, Deland Hu Liu¹¹

1: Department of Physiology, Semmelweis University, Budapest, Hungary
2: Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States of America
3: Vascular Cognitive Impairment and Neurodegeneration Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States of America
4: International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary
5: Institute of Translational Medicine, Semmelweis University, Budapest, Hungary
6: Berlin Institute of Health at Charité, University Hospital Berlin, Charitéplatz 1, 10117 Berlin, Germany
7: Department of Neurology with Experimental Neurology, Charité-University Hospital Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
8: Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, United States of America
9: Department of Neurology, Dell Medical School, The University of Texas at Austin, Austin, TX, United States of America
10: Mulva Clinic for the Neurosciences, Dell Medical School, The University of Texas at Austin, Austin, TX, United States of America
11: Chandra Department of Electrical and Computer Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, USA

Bemutatás módja

Poszter

Szekció

Poster Session I - Neurosciences 2.

Language of the presentation

English

Preferred session

Neurosciences

Összefoglaló szövege

Introduction: Aging affects cognition, even without ongoing pathologies, but the mechanisms of age-related cognitive decline (CD) remain unclear. Changes in functional brain connectivity and in fractal scaling of neural dynamics have been associated with aging and cognitive abilities. Recently, fractal connectivity (FrC) emerged, combining these concepts to capture long-term interactions among brain regions. Aims: While FrC has been linked to increased mental workload, its relation to resting-state, cognitive performance and potential CD in healthy aging hasn't been explored. We aimed to investigate how FrC in resting-state brain activity relates to cognitive performance and CD in healthy aging. Methods: Nineteen healthy elderly (HE) and 24 young control (YC) participants were recruited. They underwent resting-state electroencephalography (EEG) measurements and a comprehensive cognitive evaluation using 7 tests. We calculated dynamic fractal connectivity (dFrC) using sliding-window detrended cross-correlation analysis (DCCA) on EEG recordings, capturing temporal fluctuations in fractal connectivity strength. We used a machine learning method to identify discriminative connections between the age groups. FrC networks were reconstructed via multiple-resampling cross-spectral analysis (MRCSA). Results: HE individuals exhibited increased response latency and reduced task performance, with diminished auto- and cross-spectral exponents across most cortex regions compared to YC. Fractal scaling of frontoparietal connections inversely related to visual memory and sustained attention task performance in HE. dFrC analysis on the same subject cohort revealed increased mean dFrC and decreased temporal variability in HE. Spearman correlation linked dFrC indices to increased response latency and reduced accuracy in HE, indicating associations between dFrC and cognitive performance. Conclusion: Our findings confirm FrC alterations in healthy aging, suggesting it as a sensitive neurophysiological marker of age-related CD. Also, examining dFrC offers insights into potential intervention strategies. Funding: I acknowledge funding from ÚNKP-22-3-1-SE-25, Ministry of Innovation and Technology; National Research, Development and Innovation Fund, and further support from the SE250+ Scholarship (121389/DIDIT/2022) and (38846/DIDIT/2024), Semmelweis University, Budapest, Hungary.

University

Semmelweis University

Supervisor

Dr. Rácz Frigyes Sámuel

Publication of my abstract

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

Kind

Szabad

Status

elfogadva

Accepted presentation method

poszter

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

6870

Start

15:10

End

15:13