| Title |
Determining the individual theta frequency for associative memory targeted personalized transcranial brain stimulation / |
| Authors |
Bjekić, Jovana ; Paunovic, Dunja ; Živanović, Marko ; Stanković, Marija ; Griškova-Bulanova, Inga ; Filipović, Saša R |
| DOI |
10.3390/jpm12091367 |
| Full Text |
|
| Is Part of |
Journal of personalized medicine.. Basel : MDPI. 2022, vol. 12, no. 9, art. no. 1367, p. [1-12].. eISSN 2075-4426 |
| Keywords [eng] |
associative memory ; brain stimulation ; EEG ; individual theta frequency (ITF) ; personalization |
| Abstract [eng] |
Non-invasive brain stimulation (NIBS) methods have gained increased interest in research and therapy of associative memory (AM) and its impairments. However, the one-size-fits-all approach yields inconsistent findings, thus putting forward the need for electroencephalography (EEG)-guided personalized frequency-modulated NIBS protocols to increase the focality and the effectiveness of the interventions. Still, extraction of individual frequency, especially in the theta band, turned out to be a challenging task. Here we present an approach to extracting the individual theta-band frequency (ITF) from EEG signals recorded during the AM task. The method showed a 93% success rate, good reliability, and the full range of variability of the extracted ITFs. This paper provides a rationale behind the adopted approach and critically evaluates it in comparison to the alternative methods that have been reported in the literature. Finally, we discuss how it could be used as an input parameter for personalized frequency-modulated NIBS approaches—transcranial alternating current stimulation (tACS) and transcranial oscillatory current stimulation (otDCS) directed at AM neuromodulation. |
| Published |
Basel : MDPI |
| Type |
Journal article |
| Language |
English |
| Publication date |
2022 |
| CC license |
|
