FEBRIANTO, YOHANES and Nindela, Rini and Yusril, Yusril and Haddani, Muhammad Hasnawi and Handayani, Sri and Anggraeni, Dya and Saleh, Irsan (2025) EFEKTIVITAS NERUOFEEDBACK TRAINING TERHADAP PERBAIKAN FUNGSI KOGNITIF DAN GAMBARAN QUANTITATIVE ELECTROENCEPHALOGRAPHY PENDERITA GANGGUAN KOGNITIF PASCASTROKE. Undergraduate thesis, Sriwijaya University.
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Abstract
Background: Poststroke cognitive impairment (PSCI) is a cognitive impairment that occurs 3 months after stroke. Quantitative Electroencephalography (QEEG) in PSCI patients shows abnormalities in power spectral density, frontal delta alpha ratio (frontal DAR) and peak alpha frequency (PAF). Neurofeedback training (NFT) is an alternative therapy in PSCI patients that can improve cognitive function and QEEG images. Method: This study is a quasi-experimental study with a One-Group Pretest-Posttest design in PSCI patients at Mohammad Hoesin Hospital, Palembang in July-December 2024 using consecutive sampling. Patients underwent NFT 5 sessions every day with a protocol according to the baseline QEEG. Cognitive function was assessed with MoCA-INA before NFT (T0), post-NFT (T1) and 1 month after NFT (T2). QEEG images (absolute power, relative power, frontal DAR, and PAF) were assessed before and after NFT. Results: There was a significant improvement in the MoCA-INA scores T0-T1 (Z=-4.106, p=<0.001) and T0-T2 (Z= -3.471, p <0.001), and no difference in T1-T2 (Z= -1.331, p =0.183). The visuospatial/executive and delayed recall domains experienced improvements at T0-T1 (Z=-2.236, p=0.025 and Z=-2.341, p=0.015) and T0-T2 (Z=2.142, p=0.032 and Z=-2.242, p=0.025). There was a improvement in the relative power of temporal alpha (t=-1.875, p =0.037) and parietal beta (t=-1.827, p=0.040). Age < 60 years had an effect on the improvement of MoCA-INA scores at T0-T1 and T0-T2. Conclusion: 5 sessions of NFT with a QEEG baseline protocol is effective in improving cognitive function as assessed by MoCA-INA (after training and sustained 1 month afterward) and improvements in QEEG components. Keywords: PSCI, Neurofeedback training, QEEG, MoCA-INA
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | PSCI, Neurofeedback training, QEEG, MoCA-INA |
Subjects: | R Medicine > RC Internal medicine > RC346-429 Neurology. Diseases of the nervous system. Including speech disorders |
Divisions: | 04-Faculty of Medicine > 11703-Neurology (Sp |
Depositing User: | Yohanes Febrianto |
Date Deposited: | 23 May 2025 07:16 |
Last Modified: | 23 May 2025 07:16 |
URI: | http://repository.unsri.ac.id/id/eprint/173926 |
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