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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
Published
2025-11-12
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

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.

Keywords

Collaboration network of the authors

40 authors · 99 co-authorship links · 1 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • State University of Malang
  • Universitas Gadjah Mada
  • Universitas Halu Oleo
  • University of Vaasa
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Lilis Harianti HasibuanAffiliation unknown2
Darvi Mailisa PutriAffiliation unknown2
Novysa BasriAffiliation unknown2
Aida FitriAffiliation unknown2
Rudy Juli SaputraAffiliation unknown2
Ruth ElitaAffiliation unknown2
Fathiyyah LaylaAffiliation unknown2
Chelsy NaristyaAffiliation unknown2
Zulfhan AkbarAffiliation unknown2
Edi WinarkoUniversitas Gadjah Mada1
Didik Dwi PrasetyaState University of Malang1
Muladi MuladiState University of Malang1
Makmur KambolongUniversitas Halu Oleo1
Candra Puspita NingtyasAffiliation unknown1
Yohanes KristiantoUniversity of Vaasa1
Dwipajati DwipajatiAffiliation unknown1
Muhammad Ahsar KarimAffiliation unknown1
Yuni YulidaAffiliation unknown1
Syarto MusthofaAffiliation unknown1
Afrimayani AfrimayaniAffiliation unknown1
Fitri Rahmah Ul HasanahAffiliation unknown1
Abdillah Khofial LuthfiAffiliation unknown1
Rachel Aura AzzahraAffiliation unknown1
Abd Kadir JaelaniAffiliation unknown1
Ilhamuddin IlhamuddinAffiliation unknown1
Fathrul ArriahAffiliation unknown1
Shanti RiskiyaniAffiliation unknown1
Arsyad RahmanAffiliation unknown1
Baharuddin BaharuddinAffiliation unknown1
Ira TaskirawatiAffiliation unknown1
Umul AimanAffiliation unknown1
Novita HidayaniAffiliation unknown1
Rizki RahmadAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/jf/oai, first harvested 6 Nov 2026, last seen 6 Nov 2026.
Original metadata (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>