Analiza lokalnih potencijala polja tijekom duboke mozgovne stimulacije za identifikaciju biomarkera Parkinsonove bolesti

master's thesis

• Title (english): Analysis of local field potentials during deep brain stimulation for the identification of biomarkers of Parkinson’s disease
• Author: Marino Šabijan
• Mentor: Fadi Almahariq (mentor)
• Committee member: Fran Borovečki (predsjednik povjerenstva)
• Committee member: Mario Habek (član povjerenstva)
• Committee member: Fadi Almahariq (član povjerenstva)
• Granter: University of Zagreb; School of Medicine; (Department of Neurology); Zagreb
• Defense date and country: 2024-09-11, Croatia
• Scientific / art field, discipline and subdiscipline: BIOMEDICINE AND HEALTHCARE; Clinical Medical Sciences; Neurology

Abstract

Cilj istraživanja. Ovo istraživanje usmjereno je na identifikaciju biomarkera Parkinsonove bolesti kroz analizu lokalnih potencijala polja (LFP) zabilježenih tijekom duboke mozgovne stimulacije (DBS) kod dva pacijenta. Specifičan fokus stavljen je na promjene u frekvencijskim opsezima i amplitudama LFP signala te njihovu povezanost s kliničkim manifestacijama bolesti. Ispitanici i metode. U istraživanju su sudjelovala dva pacijenta s ugrađenim Medtronic Percept PC sustavima za DBS, s detaljnim praćenjem i bilježenjem lokalnih potencijala polja tijekom različitih terapijskih sesija. Analiza je obuhvatila detaljne bilješke o frekvencijskim spektrima i amplitudnim trendovima LFP signala te njihovu korelaciju s pojavnim kliničkim simptomima kao što su zamrznutost, diskinezija i rigiditet. Rezultati. Otkrivene su značajne promjene u spektralnoj snazi LFP-a koje su se jasno povezivale s pojedinim kliničkim događajima. Promjene u beta (13-35 Hz) i gama (31-100 Hz) frekvencijskim opsezima pokazale su posebno visoku korelaciju s epizodama motoričkih simptoma, pružajući potencijalne biomarkere za prilagođavanje i optimizaciju terapijskih intervencija. Uočena je heterogenost u obrascima LFP aktivnosti između pacijenata, naglašavajući potrebu za individualiziranim pristupom u interpretaciji ovih signala. Zaključak. Analiza lokalnih potencijala polja tijekom DBS pruža važne uvide u neurofiziološke osnove Parkinsonove bolesti i otvara put ka razvoju preciznijih metoda za monitoring i prilagođavanje terapije. Identificirani obrasci neuronske aktivnosti, posebice u beta i gama opsezima, predstavljaju obećavajuće biomarkere za optimizaciju DBS terapije. Dobiveni rezultati sugeriraju da bi LFP mogao imati ključnu ulogu u identifikaciji i razumijevanju patofizioloških promjena povezanih s Parkinsonovom bolešću te kao alat za poboljšanje kvalitete života pacijenata.

Abstract (english)

Objective. This study aims to identify biomarkers for Parkinson's disease through the analysis of local field potentials (LFPs) recorded during deep brain stimulation (DBS) in two patients. A specific focus was placed on changes in the frequency ranges and amplitudes of LFP signals and their correlation with clinical manifestations of the disease. Subjects and methods. Two patients with Medtronic Percept PC systems for DBS participated in this study, with detailed monitoring and recording of local field potentials during various therapeutic sessions. The analysis included detailed notes on the frequency spectra and amplitude trends of the LFP signals and their correlation with clinical symptoms such as freezing, dyskinesia, and rigidity. Results. Significant changes in LFP spectral power were discovered, which were clearly linked to individual clinical events. Changes in the beta (13-35 Hz) and gamma (31-100 Hz) frequency ranges showed particularly high correlation with episodes of motor symptoms, providing potential biomarkers for adjusting and optimizing therapeutic interventions. A heterogeneity in LFP activity patterns between patients was observed, emphasizing the need for an individualized approach in interpreting these signals. Conclusion. The analysis of local field potentials during DBS provides important insights into the neurophysiological underpinnings of Parkinson's disease and paves the way for the development of more precise methods for monitoring and adjusting therapy. Identified patterns of neuronal activity, especially in the beta and gamma ranges, represent promising biomarkers for optimizing DBS therapy. The results suggest that LFPs could play a crucial role in identifying and understanding pathophysiological changes associated with Parkinson’s disease and as a tool to enhance the quality of life for patients.

• Keywords: Parkinsonova bolest; lokalni potencijali polja; duboka mozgovna stimulacija; biomarkeri
• Keywords (english): Parkinson's disease; local field potentials; deep brain stimulation; biomarkers
• Language: croatian
• URN:NBN: urn:nbn:hr:105:477401
• Study programme: Title: Medicine; Study programme type: university; Study level: integrated undergraduate and graduate; Academic / professional title: doktor/doktorica medicine (doktor/doktorica medicine)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-09-10 13:48:20