Alpha peak frequency-based Brainmarker-I as a method to stratify to pharmacotherapy and brain stimulation treatments in depression Article Swipe
Helena Voetterl
,
Alexander T. Sack
,
Sebastian Olbrich
,
Sven Stuiver
,
Renee Rouwhorst
,
Amourie Prentice
,
Diego A. Pizzagalli
,
Nikita van der Vinne
,
Jeroen A. van Waarde
,
Martin Brunovský
,
Iris van Oostrom
,
B. Reitsma
,
Johan Fekkes
,
Hanneke van Dijk
,
Martijn Arns
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1038/s44220-023-00160-7
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1038/s44220-023-00160-7
Biomarkers predicting treatment outcome in major depressive disorder could enhance clinical improvement. Here this observational and prospective accuracy study investigates whether an age- and sex-normalized electroencephalography biomarker, based on the individual alpha frequency (iAF), can successfully stratify patients to different interventions such as repetitive transcranial magnetic stimulation (rTMS) and electroconvulsive therapy (ECT). Differential iAF directions were explored for sertraline, as well as rTMS ( N = 196) and ECT ( N = 41). A blinded out-of-sample validation (EMBARC; N = 240) replicated the previously found association between low iAF and better sertraline response. The subgroup of patients with an iAF around 10 Hz had a higher remission rate following 10 Hz rTMS compared with the group level, while the high-iAF subgroup had highest remission to 1 Hz rTMS and the low-iAF subgroup to ECT. Blinded out-of-sample validations for 1 Hz ( N = 39) and ECT ( N = 51) corroborated these findings. The present study suggests a clinically actionable electroencephalography biomarker that can successfully stratify between various antidepressant treatments.
Related Topics
Concepts
Sertraline
Major depressive disorder
Transcranial magnetic stimulation
Electroconvulsive therapy
Depression (economics)
Biomarker
Alpha (finance)
Psychology
Internal medicine
Electroencephalography
Medicine
Observational study
Pharmacotherapy
Antidepressant
Psychiatry
Stimulation
Clinical psychology
Mood
Psychometrics
Anxiety
Cognition
Chemistry
Biochemistry
Construct validity
Macroeconomics
Economics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s44220-023-00160-7
- https://www.nature.com/articles/s44220-023-00160-7.pdf
- OA Status
- hybrid
- Cited By
- 30
- References
- 53
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388735501
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4388735501Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s44220-023-00160-7Digital Object Identifier
- Title
-
Alpha peak frequency-based Brainmarker-I as a method to stratify to pharmacotherapy and brain stimulation treatments in depressionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-11-16Full publication date if available
- Authors
-
Helena Voetterl, Alexander T. Sack, Sebastian Olbrich, Sven Stuiver, Renee Rouwhorst, Amourie Prentice, Diego A. Pizzagalli, Nikita van der Vinne, Jeroen A. van Waarde, Martin Brunovský, Iris van Oostrom, B. Reitsma, Johan Fekkes, Hanneke van Dijk, Martijn ArnsList of authors in order
- Landing page
-
https://doi.org/10.1038/s44220-023-00160-7Publisher landing page
- PDF URL
-
https://www.nature.com/articles/s44220-023-00160-7.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://www.nature.com/articles/s44220-023-00160-7.pdfDirect OA link when available
- Concepts
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Sertraline, Major depressive disorder, Transcranial magnetic stimulation, Electroconvulsive therapy, Depression (economics), Biomarker, Alpha (finance), Psychology, Internal medicine, Electroencephalography, Medicine, Observational study, Pharmacotherapy, Antidepressant, Psychiatry, Stimulation, Clinical psychology, Mood, Psychometrics, Anxiety, Cognition, Chemistry, Biochemistry, Construct validity, Macroeconomics, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
30Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 17, 2024: 11, 2023: 2Per-year citation counts (last 5 years)
- References (count)
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53Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.(rTMS) | 48 |
| abstract_inverted_index.around | 101 |
| abstract_inverted_index.better | 91 |
| abstract_inverted_index.higher | 106 |
| abstract_inverted_index.level, | 117 |
| abstract_inverted_index.Blinded | 135 |
| abstract_inverted_index.between | 87, 167 |
| abstract_inverted_index.blinded | 75 |
| abstract_inverted_index.enhance | 10 |
| abstract_inverted_index.highest | 123 |
| abstract_inverted_index.low-iAF | 131 |
| abstract_inverted_index.outcome | 4 |
| abstract_inverted_index.present | 155 |
| abstract_inverted_index.therapy | 51 |
| abstract_inverted_index.various | 168 |
| abstract_inverted_index.whether | 21 |
| abstract_inverted_index.(EMBARC; | 78 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.accuracy | 18 |
| abstract_inverted_index.clinical | 11 |
| abstract_inverted_index.compared | 113 |
| abstract_inverted_index.disorder | 8 |
| abstract_inverted_index.explored | 57 |
| abstract_inverted_index.high-iAF | 120 |
| abstract_inverted_index.magnetic | 46 |
| abstract_inverted_index.patients | 38, 97 |
| abstract_inverted_index.stratify | 37, 166 |
| abstract_inverted_index.subgroup | 95, 121, 132 |
| abstract_inverted_index.suggests | 157 |
| abstract_inverted_index.biomarker | 162 |
| abstract_inverted_index.different | 40 |
| abstract_inverted_index.findings. | 153 |
| abstract_inverted_index.following | 109 |
| abstract_inverted_index.frequency | 33 |
| abstract_inverted_index.remission | 107, 124 |
| abstract_inverted_index.response. | 93 |
| abstract_inverted_index.treatment | 3 |
| abstract_inverted_index.Biomarkers | 1 |
| abstract_inverted_index.actionable | 160 |
| abstract_inverted_index.biomarker, | 27 |
| abstract_inverted_index.clinically | 159 |
| abstract_inverted_index.depressive | 7 |
| abstract_inverted_index.directions | 55 |
| abstract_inverted_index.individual | 31 |
| abstract_inverted_index.predicting | 2 |
| abstract_inverted_index.previously | 84 |
| abstract_inverted_index.repetitive | 44 |
| abstract_inverted_index.replicated | 82 |
| abstract_inverted_index.sertraline | 92 |
| abstract_inverted_index.validation | 77 |
| abstract_inverted_index.association | 86 |
| abstract_inverted_index.prospective | 17 |
| abstract_inverted_index.sertraline, | 59 |
| abstract_inverted_index.stimulation | 47 |
| abstract_inverted_index.treatments. | 170 |
| abstract_inverted_index.validations | 137 |
| abstract_inverted_index.Differential | 53 |
| abstract_inverted_index.corroborated | 151 |
| abstract_inverted_index.improvement. | 12 |
| abstract_inverted_index.investigates | 20 |
| abstract_inverted_index.successfully | 36, 165 |
| abstract_inverted_index.transcranial | 45 |
| abstract_inverted_index.interventions | 41 |
| abstract_inverted_index.observational | 15 |
| abstract_inverted_index.out-of-sample | 76, 136 |
| abstract_inverted_index.antidepressant | 169 |
| abstract_inverted_index.sex-normalized | 25 |
| abstract_inverted_index.electroconvulsive | 50 |
| abstract_inverted_index.electroencephalography | 26, 161 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5043987958 |
| countries_distinct_count | 4 |
| institutions_distinct_count | 15 |
| corresponding_institution_ids | https://openalex.org/I34352273, https://openalex.org/I4210096447 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8399999737739563 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.95401403 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |