Application of machine learning and temporal response function modeling of EEG data for differential diagnosis in primary progressive aphasia.
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| Title: | Application of machine learning and temporal response function modeling of EEG data for differential diagnosis in primary progressive aphasia. |
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| Authors: | Dial, Heather1,2 (AUTHOR) hrdial@central.uh.edu, Pugalenthi, Lokesha S.3,4 (AUTHOR), Gnanateja, G. Nike5 (AUTHOR), Li, Junyi Jessy6 (AUTHOR), Henry, Maya L.2,7 (AUTHOR) |
| Source: | Scientific Reports. 8/12/2025, Vol. 15 Issue 1, p1-15. 15p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 187279325 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-025-13000-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1 Titles: – TitleFull: Application of machine learning and temporal response function modeling of EEG data for differential diagnosis in primary progressive aphasia. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dial, Heather – PersonEntity: Name: NameFull: Pugalenthi, Lokesha S. – PersonEntity: Name: NameFull: Gnanateja, G. Nike – PersonEntity: Name: NameFull: Li, Junyi Jessy – PersonEntity: Name: NameFull: Henry, Maya L. IsPartOfRelationships: – BibEntity: Dates: – D: 12 M: 08 Text: 8/12/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
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