Parameterization of intraoperative human microelectrode recordings: Linking action potential morphology to brain anatomy.
Deep brain stimulation (DBS) is a targeted manipulation of brain circuitry to treat neurological and neuropsychiatric conditions. Optimal DBS lead placement is essential for treatment efficacy. Current targeting practice is based on preoperative and intraoperative brain imaging, intraoperative elect...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2025-06-01
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| Series: | PLoS Computational Biology |
| Online Access: | https://doi.org/10.1371/journal.pcbi.1013184 |
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| _version_ | 1849427790199259136 |
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| author | Matthew R Baker Bryan T Klassen Michael A Jensen Gabriela Ojeda Valencia Hossein Heydari Nuri F Ince Klaus-Robert Müller Kai J Miller |
| author_facet | Matthew R Baker Bryan T Klassen Michael A Jensen Gabriela Ojeda Valencia Hossein Heydari Nuri F Ince Klaus-Robert Müller Kai J Miller |
| author_sort | Matthew R Baker |
| collection | DOAJ |
| description | Deep brain stimulation (DBS) is a targeted manipulation of brain circuitry to treat neurological and neuropsychiatric conditions. Optimal DBS lead placement is essential for treatment efficacy. Current targeting practice is based on preoperative and intraoperative brain imaging, intraoperative electrophysiology, and stimulation mapping. Electrophysiological mapping using extracellular microelectrode recordings aids in identifying functional subdomains, anatomical boundaries, and disease-correlated physiology. The shape of single-unit action potentials may differ due to different biophysical properties between cell-types and brain regions. Here, we describe a technique to parameterize the structure and duration of sorted spike units using a novel algorithmic approach based on canonical response parameterization, and illustrate how it may be used on DBS microelectrode recordings. Isolated spike shapes are parameterized then compared using a spike similarity metric and grouped by hierarchical clustering. When spike morphology is associated with anatomy, we find regional clustering in the human globus pallidus. This method is widely applicable for spike removal and single-unit characterization and could be integrated into intraoperative array-based technologies to enhance targeting and clinical outcomes in DBS lead placement. |
| format | Article |
| id | doaj-art-f3fa3cdf18a94bafa3c42e48631fbd0b |
| institution | Kabale University |
| issn | 1553-734X 1553-7358 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj-art-f3fa3cdf18a94bafa3c42e48631fbd0b2025-08-20T03:28:54ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582025-06-01216e101318410.1371/journal.pcbi.1013184Parameterization of intraoperative human microelectrode recordings: Linking action potential morphology to brain anatomy.Matthew R BakerBryan T KlassenMichael A JensenGabriela Ojeda ValenciaHossein HeydariNuri F InceKlaus-Robert MüllerKai J MillerDeep brain stimulation (DBS) is a targeted manipulation of brain circuitry to treat neurological and neuropsychiatric conditions. Optimal DBS lead placement is essential for treatment efficacy. Current targeting practice is based on preoperative and intraoperative brain imaging, intraoperative electrophysiology, and stimulation mapping. Electrophysiological mapping using extracellular microelectrode recordings aids in identifying functional subdomains, anatomical boundaries, and disease-correlated physiology. The shape of single-unit action potentials may differ due to different biophysical properties between cell-types and brain regions. Here, we describe a technique to parameterize the structure and duration of sorted spike units using a novel algorithmic approach based on canonical response parameterization, and illustrate how it may be used on DBS microelectrode recordings. Isolated spike shapes are parameterized then compared using a spike similarity metric and grouped by hierarchical clustering. When spike morphology is associated with anatomy, we find regional clustering in the human globus pallidus. This method is widely applicable for spike removal and single-unit characterization and could be integrated into intraoperative array-based technologies to enhance targeting and clinical outcomes in DBS lead placement.https://doi.org/10.1371/journal.pcbi.1013184 |
| spellingShingle | Matthew R Baker Bryan T Klassen Michael A Jensen Gabriela Ojeda Valencia Hossein Heydari Nuri F Ince Klaus-Robert Müller Kai J Miller Parameterization of intraoperative human microelectrode recordings: Linking action potential morphology to brain anatomy. PLoS Computational Biology |
| title | Parameterization of intraoperative human microelectrode recordings: Linking action potential morphology to brain anatomy. |
| title_full | Parameterization of intraoperative human microelectrode recordings: Linking action potential morphology to brain anatomy. |
| title_fullStr | Parameterization of intraoperative human microelectrode recordings: Linking action potential morphology to brain anatomy. |
| title_full_unstemmed | Parameterization of intraoperative human microelectrode recordings: Linking action potential morphology to brain anatomy. |
| title_short | Parameterization of intraoperative human microelectrode recordings: Linking action potential morphology to brain anatomy. |
| title_sort | parameterization of intraoperative human microelectrode recordings linking action potential morphology to brain anatomy |
| url | https://doi.org/10.1371/journal.pcbi.1013184 |
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