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Identification of Brain Areas Associated with Chronic Neuropathic Pain through Hjorth Parameter Analysis of EEG Signals

Jurnal Fisika · Vol. 15 No. 2 (2025)

DOI
10.15294/jf.v15i2.24512
ISSN
2684-978X, 2088-1509
Terbit
2025-11-12
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

This study investigates the neurophysiological signatures of chronic neuropathic pain (CNP) through the analysis of EEG signals using Hjorth parameters (Activity, Mobility, and Complexity). We compared EEG recordings from 36 CNP patients with those from 19 healthy controls (HC) under both eyes-open and eyes-closed conditions. Analysis of 19 electrode locations revealed significant differences between the groups across all Hjorth parameters. The Activity parameter showed dramatic elevations in CNP patients across all brain regions, indicating widespread cortical hyperexcitability. Mobility parameters revealed significant alterations particularly in occipital (O2), central midline (Cz), and parietal (Pz) regions, with strong effect sizes (Cliff's delta > 0.7). Complexity parameters demonstrated significant changes in right temporal (T4) and parietal midline (Pz) areas. The combined analysis identified the parietal cortex, temporal regions, occipital cortex, and central midline as key areas associated with CNP, suggesting a distributed network disruption rather than localized dysfunction. These findings contribute to our understanding of the neural mechanisms underlying chronic neuropathic pain and may support the development of objective diagnostic markers and targeted interventions for this debilitating condition.

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  • State University of Malang
  • Universitas Gadjah Mada
  • Universitas Halu Oleo
  • University of Vaasa
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  • Organisasi berbeda
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Rekan penulisOrganisasiArtikel bersama
Lilis Harianti HasibuanAfiliasi tidak diketahui2
Darvi Mailisa PutriAfiliasi tidak diketahui2
Novysa BasriAfiliasi tidak diketahui2
Aida FitriAfiliasi tidak diketahui2
Rudy Juli SaputraAfiliasi tidak diketahui2
Ruth ElitaAfiliasi tidak diketahui2
Fathiyyah LaylaAfiliasi tidak diketahui2
Chelsy NaristyaAfiliasi tidak diketahui2
Zulfhan AkbarAfiliasi tidak diketahui2
Fakhri YacobAfiliasi tidak diketahui2
Ida FitriaAfiliasi tidak diketahui2
Edi WinarkoUniversitas Gadjah Mada1
Didik Dwi PrasetyaState University of Malang1
Muladi MuladiState University of Malang1
Makmur KambolongUniversitas Halu Oleo1
Candra Puspita NingtyasAfiliasi tidak diketahui1
Yohanes KristiantoUniversity of Vaasa1
Dwipajati DwipajatiAfiliasi tidak diketahui1
Muhammad Ahsar KarimAfiliasi tidak diketahui1
Yuni YulidaAfiliasi tidak diketahui1
Syarto MusthofaAfiliasi tidak diketahui1
Afrimayani AfrimayaniAfiliasi tidak diketahui1
Fitri Rahmah Ul HasanahAfiliasi tidak diketahui1
Abdillah Khofial LuthfiAfiliasi tidak diketahui1
Rachel Aura AzzahraAfiliasi tidak diketahui1
Abd Kadir JaelaniAfiliasi tidak diketahui1
Ilhamuddin IlhamuddinAfiliasi tidak diketahui1
Fathrul ArriahAfiliasi tidak diketahui1
Shanti RiskiyaniAfiliasi tidak diketahui1
Arsyad RahmanAfiliasi tidak diketahui1
Baharuddin BaharuddinAfiliasi tidak diketahui1
Ira TaskirawatiAfiliasi tidak diketahui1
Jalilah JalilahAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/jf/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 6 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Identification of Brain Areas Associated with Chronic Neuropathic Pain through Hjorth Parameter Analysis of EEG Signals</dc:title>
	<dc:creator xml:lang="en">Asyrafi, Hilman</dc:creator>
	<dc:creator xml:lang="en">Handayani, Nita</dc:creator>
	<dc:creator xml:lang="en">Ilmawan, Lutfi Budi</dc:creator>
	<dc:creator xml:lang="en">Shabir, Fadly</dc:creator>
	<dc:creator xml:lang="en">Jamal, Ridwan</dc:creator>
	<dc:creator xml:lang="en">Jannah, Miftahul</dc:creator>
	<dc:creator xml:lang="en">Arysespajayadi</dc:creator>
	<dc:subject xml:lang="en">Chronic neuropathic pain</dc:subject>
	<dc:subject xml:lang="en">electroencephalography</dc:subject>
	<dc:subject xml:lang="en">Hjorth parameters</dc:subject>
	<dc:subject xml:lang="en">brain mapping</dc:subject>
	<dc:description xml:lang="en">This study investigates the neurophysiological signatures of chronic neuropathic pain (CNP) through the analysis of EEG signals using Hjorth parameters (Activity, Mobility, and Complexity). We compared EEG recordings from 36 CNP patients with those from 19 healthy controls (HC) under both eyes-open and eyes-closed conditions. Analysis of 19 electrode locations revealed significant differences between the groups across all Hjorth parameters. The Activity parameter showed dramatic elevations in CNP patients across all brain regions, indicating widespread cortical hyperexcitability. Mobility parameters revealed significant alterations particularly in occipital (O2), central midline (Cz), and parietal (Pz) regions, with strong effect sizes (Cliff's delta &amp;gt; 0.7). Complexity parameters demonstrated significant changes in right temporal (T4) and parietal midline (Pz) areas. The combined analysis identified the parietal cortex, temporal regions, occipital cortex, and central midline as key areas associated with CNP, suggesting a distributed network disruption rather than localized dysfunction. These findings contribute to our understanding of the neural mechanisms underlying chronic neuropathic pain and may support the development of objective diagnostic markers and targeted interventions for this debilitating condition.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2025-11-12</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/jf/article/view/24512</dc:identifier>
	<dc:identifier>10.15294/jf.v15i2.24512</dc:identifier>
	<dc:source xml:lang="en">Jurnal Fisika; Vol. 15 No. 2 (2025): Jurnal Fisika 15 (2) 2025</dc:source>
	<dc:source>2684-978X</dc:source>
	<dc:source>2088-1509</dc:source>
	<dc:source>10.15294/jf.v15i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/jf/article/view/24512/6802</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Jurnal Fisika</dc:rights>
</oai_dc:dc>