CHARACTERISING COGNITIVE ENDOPHENOTYPES RELATED TO NEUROPSYCHIATRIC DISEASES
Deep phenotyping aims at measuring large numbers of phenotypes per subject, which enables us to describe more comprehensively the subjects’ physical or cognitive state; the increased information-depth allows us to gain insight in the underlying neurophysiological and neuropsychological relationships...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Milnik, Annette [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019transfer abstract |
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| Umfang: |
2 |
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| Übergeordnetes Werk: |
Enthalten in: Temperature-dependence laws of absorption line shape parameters of the CO - Wilzewski, J.S. ELSEVIER, 2017, ENP : the journal of the European College of Neuropsychopharmacology, Amsterdam |
|---|---|
| Übergeordnetes Werk: |
volume:29 ; year:2019 ; pages:849-850 ; extent:2 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.euroneuro.2017.08.122 |
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ELV046224408 |
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| 520 | |a Deep phenotyping aims at measuring large numbers of phenotypes per subject, which enables us to describe more comprehensively the subjects’ physical or cognitive state; the increased information-depth allows us to gain insight in the underlying neurophysiological and neuropsychological relationships. The concept of endophenotypes is an important link between phenotyping based on diseases and phenotyping based on healthy subjects, especially in the field of neuropsychiatric diseases. The cognitive domains episodic memory, working memory and attention are examples for endophenotypes that can be assessed in a deep-phenotyping approach; all these domains are heritable traits that are affected in neuropsychiatric disorders, such as Schizophrenia, Depression, or Posttraumatic stress disorder. These domains are based on shared but also on domain-specific neurophysiological and neuropsychological mechanisms and can be measured with a variety of different tasks. | ||
| 520 | |a Deep phenotyping aims at measuring large numbers of phenotypes per subject, which enables us to describe more comprehensively the subjects’ physical or cognitive state; the increased information-depth allows us to gain insight in the underlying neurophysiological and neuropsychological relationships. The concept of endophenotypes is an important link between phenotyping based on diseases and phenotyping based on healthy subjects, especially in the field of neuropsychiatric diseases. The cognitive domains episodic memory, working memory and attention are examples for endophenotypes that can be assessed in a deep-phenotyping approach; all these domains are heritable traits that are affected in neuropsychiatric disorders, such as Schizophrenia, Depression, or Posttraumatic stress disorder. These domains are based on shared but also on domain-specific neurophysiological and neuropsychological mechanisms and can be measured with a variety of different tasks. | ||
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10.1016/j.euroneuro.2017.08.122 doi GBV00000000000688.pica (DE-627)ELV046224408 (ELSEVIER)S0924-977X(17)30586-2 DE-627 ger DE-627 rakwb eng 530 VZ 33.00 bkl Milnik, Annette verfasserin aut CHARACTERISING COGNITIVE ENDOPHENOTYPES RELATED TO NEUROPSYCHIATRIC DISEASES 2019transfer abstract 2 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Deep phenotyping aims at measuring large numbers of phenotypes per subject, which enables us to describe more comprehensively the subjects’ physical or cognitive state; the increased information-depth allows us to gain insight in the underlying neurophysiological and neuropsychological relationships. The concept of endophenotypes is an important link between phenotyping based on diseases and phenotyping based on healthy subjects, especially in the field of neuropsychiatric diseases. The cognitive domains episodic memory, working memory and attention are examples for endophenotypes that can be assessed in a deep-phenotyping approach; all these domains are heritable traits that are affected in neuropsychiatric disorders, such as Schizophrenia, Depression, or Posttraumatic stress disorder. These domains are based on shared but also on domain-specific neurophysiological and neuropsychological mechanisms and can be measured with a variety of different tasks. Deep phenotyping aims at measuring large numbers of phenotypes per subject, which enables us to describe more comprehensively the subjects’ physical or cognitive state; the increased information-depth allows us to gain insight in the underlying neurophysiological and neuropsychological relationships. The concept of endophenotypes is an important link between phenotyping based on diseases and phenotyping based on healthy subjects, especially in the field of neuropsychiatric diseases. The cognitive domains episodic memory, working memory and attention are examples for endophenotypes that can be assessed in a deep-phenotyping approach; all these domains are heritable traits that are affected in neuropsychiatric disorders, such as Schizophrenia, Depression, or Posttraumatic stress disorder. These domains are based on shared but also on domain-specific neurophysiological and neuropsychological mechanisms and can be measured with a variety of different tasks. Egli, Tobias oth Auschra, Bianca oth Hartmann, Francina oth Spalek, Klara oth Loos, Eva oth de Quervain, Dominique J.F. oth Papassotiropoulos, Andreas oth Enthalten in Elsevier Wilzewski, J.S. ELSEVIER Temperature-dependence laws of absorption line shape parameters of the CO 2017 ENP : the journal of the European College of Neuropsychopharmacology Amsterdam (DE-627)ELV000200816 volume:29 year:2019 pages:849-850 extent:2 https://doi.org/10.1016/j.euroneuro.2017.08.122 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 33.00 Physik: Allgemeines VZ AR 29 2019 849-850 2 29.2019, S849-, (2 S.) |
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10.1016/j.euroneuro.2017.08.122 doi GBV00000000000688.pica (DE-627)ELV046224408 (ELSEVIER)S0924-977X(17)30586-2 DE-627 ger DE-627 rakwb eng 530 VZ 33.00 bkl Milnik, Annette verfasserin aut CHARACTERISING COGNITIVE ENDOPHENOTYPES RELATED TO NEUROPSYCHIATRIC DISEASES 2019transfer abstract 2 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Deep phenotyping aims at measuring large numbers of phenotypes per subject, which enables us to describe more comprehensively the subjects’ physical or cognitive state; the increased information-depth allows us to gain insight in the underlying neurophysiological and neuropsychological relationships. The concept of endophenotypes is an important link between phenotyping based on diseases and phenotyping based on healthy subjects, especially in the field of neuropsychiatric diseases. The cognitive domains episodic memory, working memory and attention are examples for endophenotypes that can be assessed in a deep-phenotyping approach; all these domains are heritable traits that are affected in neuropsychiatric disorders, such as Schizophrenia, Depression, or Posttraumatic stress disorder. These domains are based on shared but also on domain-specific neurophysiological and neuropsychological mechanisms and can be measured with a variety of different tasks. Deep phenotyping aims at measuring large numbers of phenotypes per subject, which enables us to describe more comprehensively the subjects’ physical or cognitive state; the increased information-depth allows us to gain insight in the underlying neurophysiological and neuropsychological relationships. The concept of endophenotypes is an important link between phenotyping based on diseases and phenotyping based on healthy subjects, especially in the field of neuropsychiatric diseases. The cognitive domains episodic memory, working memory and attention are examples for endophenotypes that can be assessed in a deep-phenotyping approach; all these domains are heritable traits that are affected in neuropsychiatric disorders, such as Schizophrenia, Depression, or Posttraumatic stress disorder. These domains are based on shared but also on domain-specific neurophysiological and neuropsychological mechanisms and can be measured with a variety of different tasks. Egli, Tobias oth Auschra, Bianca oth Hartmann, Francina oth Spalek, Klara oth Loos, Eva oth de Quervain, Dominique J.F. oth Papassotiropoulos, Andreas oth Enthalten in Elsevier Wilzewski, J.S. ELSEVIER Temperature-dependence laws of absorption line shape parameters of the CO 2017 ENP : the journal of the European College of Neuropsychopharmacology Amsterdam (DE-627)ELV000200816 volume:29 year:2019 pages:849-850 extent:2 https://doi.org/10.1016/j.euroneuro.2017.08.122 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 33.00 Physik: Allgemeines VZ AR 29 2019 849-850 2 29.2019, S849-, (2 S.) |
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10.1016/j.euroneuro.2017.08.122 doi GBV00000000000688.pica (DE-627)ELV046224408 (ELSEVIER)S0924-977X(17)30586-2 DE-627 ger DE-627 rakwb eng 530 VZ 33.00 bkl Milnik, Annette verfasserin aut CHARACTERISING COGNITIVE ENDOPHENOTYPES RELATED TO NEUROPSYCHIATRIC DISEASES 2019transfer abstract 2 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Deep phenotyping aims at measuring large numbers of phenotypes per subject, which enables us to describe more comprehensively the subjects’ physical or cognitive state; the increased information-depth allows us to gain insight in the underlying neurophysiological and neuropsychological relationships. The concept of endophenotypes is an important link between phenotyping based on diseases and phenotyping based on healthy subjects, especially in the field of neuropsychiatric diseases. The cognitive domains episodic memory, working memory and attention are examples for endophenotypes that can be assessed in a deep-phenotyping approach; all these domains are heritable traits that are affected in neuropsychiatric disorders, such as Schizophrenia, Depression, or Posttraumatic stress disorder. These domains are based on shared but also on domain-specific neurophysiological and neuropsychological mechanisms and can be measured with a variety of different tasks. Deep phenotyping aims at measuring large numbers of phenotypes per subject, which enables us to describe more comprehensively the subjects’ physical or cognitive state; the increased information-depth allows us to gain insight in the underlying neurophysiological and neuropsychological relationships. The concept of endophenotypes is an important link between phenotyping based on diseases and phenotyping based on healthy subjects, especially in the field of neuropsychiatric diseases. The cognitive domains episodic memory, working memory and attention are examples for endophenotypes that can be assessed in a deep-phenotyping approach; all these domains are heritable traits that are affected in neuropsychiatric disorders, such as Schizophrenia, Depression, or Posttraumatic stress disorder. These domains are based on shared but also on domain-specific neurophysiological and neuropsychological mechanisms and can be measured with a variety of different tasks. Egli, Tobias oth Auschra, Bianca oth Hartmann, Francina oth Spalek, Klara oth Loos, Eva oth de Quervain, Dominique J.F. oth Papassotiropoulos, Andreas oth Enthalten in Elsevier Wilzewski, J.S. ELSEVIER Temperature-dependence laws of absorption line shape parameters of the CO 2017 ENP : the journal of the European College of Neuropsychopharmacology Amsterdam (DE-627)ELV000200816 volume:29 year:2019 pages:849-850 extent:2 https://doi.org/10.1016/j.euroneuro.2017.08.122 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 33.00 Physik: Allgemeines VZ AR 29 2019 849-850 2 29.2019, S849-, (2 S.) |
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Temperature-dependence laws of absorption line shape parameters of the CO |
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CHARACTERISING COGNITIVE ENDOPHENOTYPES RELATED TO NEUROPSYCHIATRIC DISEASES |
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CHARACTERISING COGNITIVE ENDOPHENOTYPES RELATED TO NEUROPSYCHIATRIC DISEASES |
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Milnik, Annette |
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Temperature-dependence laws of absorption line shape parameters of the CO |
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10.1016/j.euroneuro.2017.08.122 |
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characterising cognitive endophenotypes related to neuropsychiatric diseases |
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CHARACTERISING COGNITIVE ENDOPHENOTYPES RELATED TO NEUROPSYCHIATRIC DISEASES |
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Deep phenotyping aims at measuring large numbers of phenotypes per subject, which enables us to describe more comprehensively the subjects’ physical or cognitive state; the increased information-depth allows us to gain insight in the underlying neurophysiological and neuropsychological relationships. The concept of endophenotypes is an important link between phenotyping based on diseases and phenotyping based on healthy subjects, especially in the field of neuropsychiatric diseases. The cognitive domains episodic memory, working memory and attention are examples for endophenotypes that can be assessed in a deep-phenotyping approach; all these domains are heritable traits that are affected in neuropsychiatric disorders, such as Schizophrenia, Depression, or Posttraumatic stress disorder. These domains are based on shared but also on domain-specific neurophysiological and neuropsychological mechanisms and can be measured with a variety of different tasks. |
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Deep phenotyping aims at measuring large numbers of phenotypes per subject, which enables us to describe more comprehensively the subjects’ physical or cognitive state; the increased information-depth allows us to gain insight in the underlying neurophysiological and neuropsychological relationships. The concept of endophenotypes is an important link between phenotyping based on diseases and phenotyping based on healthy subjects, especially in the field of neuropsychiatric diseases. The cognitive domains episodic memory, working memory and attention are examples for endophenotypes that can be assessed in a deep-phenotyping approach; all these domains are heritable traits that are affected in neuropsychiatric disorders, such as Schizophrenia, Depression, or Posttraumatic stress disorder. These domains are based on shared but also on domain-specific neurophysiological and neuropsychological mechanisms and can be measured with a variety of different tasks. |
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Deep phenotyping aims at measuring large numbers of phenotypes per subject, which enables us to describe more comprehensively the subjects’ physical or cognitive state; the increased information-depth allows us to gain insight in the underlying neurophysiological and neuropsychological relationships. The concept of endophenotypes is an important link between phenotyping based on diseases and phenotyping based on healthy subjects, especially in the field of neuropsychiatric diseases. The cognitive domains episodic memory, working memory and attention are examples for endophenotypes that can be assessed in a deep-phenotyping approach; all these domains are heritable traits that are affected in neuropsychiatric disorders, such as Schizophrenia, Depression, or Posttraumatic stress disorder. These domains are based on shared but also on domain-specific neurophysiological and neuropsychological mechanisms and can be measured with a variety of different tasks. |
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CHARACTERISING COGNITIVE ENDOPHENOTYPES RELATED TO NEUROPSYCHIATRIC DISEASES |
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Egli, Tobias Auschra, Bianca Hartmann, Francina Spalek, Klara Loos, Eva de Quervain, Dominique J.F. Papassotiropoulos, Andreas |
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