EEG microstate D as psychosis-specific correlate in adolescents and young adults with clinical high risk for psychosis and first-episode psychosis Article Swipe
Matthias Liebrand
,
Angelos Katsarakis
,
Johannes Josi
,
Sarah Diezig
,
Chantal Michel
,
Frauke Schultze‐Lutter
,
Vincent Rochas
,
Valentina Mancini
,
Michael Kaess
,
Daniela Hubl
,
Thomas Koenig
,
Jochen Kindler
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.schres.2023.11.014
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.schres.2023.11.014
Resting-state electroencephalography (EEG) microstates are brief periods (60-120 ms) of quasi-stable scalp field potentials, indicating simultaneous activity of large-scale networks. Microstates are assumed to reflect basic neuronal information processing. A common finding in psychosis spectrum disorders is that microstates classes C and D are altered. Whereas evidence in adults with schizophrenia is substantial, little is known about effects in underage patients, particularly in those at clinical high risk for psychosis (CHR) and first-episode psychosis (FEP). The present study used 74-channel EEG to investigate microstate effects in a large sample of patients with CHR (n = 100) and FEP (n = 33), clinical controls (CC, n = 18), as well as age-matched healthy controls (HC, n = 68). Subjects span an age range from 9 to 35 years, thus, covering underage patients as well as the most vulnerable period for the emergence of psychosis and its prodrome. Four EEG microstates classes were analyzed (A-D). In class D, CHR and FEP patients showed a decrease compared to HC, and CHR patients also to CC. An increase in class C was found in CHR and FEP compared to HC but not to CC. Results were independent of age and no differences were found between the psychosis spectrum groups. The findings suggest an age-independent decrease of microstate class D to be specific to the psychosis spectrum, whereas the increase in class C seems to reflect unspecific psychopathology. Overall, present data strengthens the role of microstate D as potential biomarker for psychosis, as early as in adolescence and already in CHR status.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.schres.2023.11.014
- OA Status
- hybrid
- Cited By
- 5
- References
- 74
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389764410
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4389764410Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.schres.2023.11.014Digital Object Identifier
- Title
-
EEG microstate D as psychosis-specific correlate in adolescents and young adults with clinical high risk for psychosis and first-episode psychosisWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-12-14Full publication date if available
- Authors
-
Matthias Liebrand, Angelos Katsarakis, Johannes Josi, Sarah Diezig, Chantal Michel, Frauke Schultze‐Lutter, Vincent Rochas, Valentina Mancini, Michael Kaess, Daniela Hubl, Thomas Koenig, Jochen KindlerList of authors in order
- Landing page
-
https://doi.org/10.1016/j.schres.2023.11.014Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.schres.2023.11.014Direct OA link when available
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Psychosis, Ministate, Prodrome, Psychopathology, Psychology, Electroencephalography, Psychiatry, Schizophrenia (object-oriented programming), Young adult, Age of onset, Clinical psychology, Audiology, Medicine, Internal medicine, Developmental psychology, DiseaseTop concepts (fields/topics) attached by OpenAlex
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5Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.little | 53 |
| abstract_inverted_index.period | 137 |
| abstract_inverted_index.sample | 88 |
| abstract_inverted_index.showed | 160 |
| abstract_inverted_index.years, | 126 |
| abstract_inverted_index.(60-120 | 7 |
| abstract_inverted_index.Results | 190 |
| abstract_inverted_index.Whereas | 45 |
| abstract_inverted_index.already | 253 |
| abstract_inverted_index.assumed | 22 |
| abstract_inverted_index.between | 200 |
| abstract_inverted_index.classes | 39, 149 |
| abstract_inverted_index.effects | 57, 84 |
| abstract_inverted_index.finding | 31 |
| abstract_inverted_index.groups. | 204 |
| abstract_inverted_index.healthy | 111 |
| abstract_inverted_index.periods | 6 |
| abstract_inverted_index.present | 76, 234 |
| abstract_inverted_index.reflect | 24, 230 |
| abstract_inverted_index.status. | 256 |
| abstract_inverted_index.suggest | 207 |
| abstract_inverted_index.whereas | 222 |
| abstract_inverted_index.Overall, | 233 |
| abstract_inverted_index.Subjects | 117 |
| abstract_inverted_index.activity | 16 |
| abstract_inverted_index.altered. | 44 |
| abstract_inverted_index.analyzed | 151 |
| abstract_inverted_index.clinical | 65, 101 |
| abstract_inverted_index.compared | 163, 183 |
| abstract_inverted_index.controls | 102, 112 |
| abstract_inverted_index.covering | 128 |
| abstract_inverted_index.decrease | 162, 210 |
| abstract_inverted_index.evidence | 46 |
| abstract_inverted_index.findings | 206 |
| abstract_inverted_index.increase | 173, 224 |
| abstract_inverted_index.neuronal | 26 |
| abstract_inverted_index.patients | 90, 130, 159, 168 |
| abstract_inverted_index.specific | 217 |
| abstract_inverted_index.spectrum | 34, 203 |
| abstract_inverted_index.underage | 59, 129 |
| abstract_inverted_index.biomarker | 244 |
| abstract_inverted_index.disorders | 35 |
| abstract_inverted_index.emergence | 140 |
| abstract_inverted_index.networks. | 19 |
| abstract_inverted_index.patients, | 60 |
| abstract_inverted_index.potential | 243 |
| abstract_inverted_index.prodrome. | 145 |
| abstract_inverted_index.psychosis | 33, 69, 73, 142, 202, 220 |
| abstract_inverted_index.spectrum, | 221 |
| abstract_inverted_index.74-channel | 79 |
| abstract_inverted_index.indicating | 14 |
| abstract_inverted_index.microstate | 83, 212, 240 |
| abstract_inverted_index.psychosis, | 246 |
| abstract_inverted_index.unspecific | 231 |
| abstract_inverted_index.vulnerable | 136 |
| abstract_inverted_index.Microstates | 20 |
| abstract_inverted_index.adolescence | 251 |
| abstract_inverted_index.age-matched | 110 |
| abstract_inverted_index.differences | 197 |
| abstract_inverted_index.independent | 192 |
| abstract_inverted_index.information | 27 |
| abstract_inverted_index.investigate | 82 |
| abstract_inverted_index.large-scale | 18 |
| abstract_inverted_index.microstates | 3, 38, 148 |
| abstract_inverted_index.potentials, | 13 |
| abstract_inverted_index.processing. | 28 |
| abstract_inverted_index.strengthens | 236 |
| abstract_inverted_index.particularly | 61 |
| abstract_inverted_index.quasi-stable | 10 |
| abstract_inverted_index.simultaneous | 15 |
| abstract_inverted_index.substantial, | 52 |
| abstract_inverted_index.Resting-state | 0 |
| abstract_inverted_index.first-episode | 72 |
| abstract_inverted_index.schizophrenia | 50 |
| abstract_inverted_index.age-independent | 209 |
| abstract_inverted_index.psychopathology. | 232 |
| abstract_inverted_index.electroencephalography | 1 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5000524791 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 12 |
| corresponding_institution_ids | https://openalex.org/I118564535 |
| citation_normalized_percentile.value | 0.77150214 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |