View in EDS

Age-related brain deviations and aggression.

Saved in:
Bibliographic Details
Title: Age-related brain deviations and aggression.
Authors: Holz, Nathalie E., Floris, Dorothea L., Llera, Alberto, Aggensteiner, Pascal M., Kia, Seyed Mostafa, Wolfers, Thomas, Baumeister, Sarah, Böttinger, Boris, Glennon, Jeffrey C., Hoekstra, Pieter J., Dietrich, Andrea, Saam, Melanie C., Schulze, Ulrike M. E., Lythgoe, David J., Williams, Steve C. R., Santosh, Paramala, Rosa-Justicia, Mireia, Bargallo, Nuria, Castro-Fornieles, Josefina, Arango, Celso
Source: Psychological Medicine. Jul2023, Vol. 53 Issue 9, p4012-4021. 10p.
Subjects: Amygdaloid body physiology, Risk factors of aggression, Brain diseases, Sensorimotor integration, Age distribution, Basal ganglia, Behavior disorders, Risk assessment, Neural development, Child psychopathology, Descriptive statistics, Research funding, Emotions, Disease risk factors
Abstract: Background: Disruptive behavior disorders (DBD) are heterogeneous at the clinical and the biological level. Therefore, the aims were to dissect the heterogeneous neurodevelopmental deviations of the affective brain circuitry and provide an integration of these differences across modalities. Methods: We combined two novel approaches. First, normative modeling to map deviations from the typical age-related pattern at the level of the individual of (i) activity during emotion matching and (ii) of anatomical images derived from DBD cases (n = 77) and controls (n = 52) aged 8–18 years from the EU-funded Aggressotype and MATRICS consortia. Second, linked independent component analysis to integrate subject-specific deviations from both modalities. Results: While cases exhibited on average a higher activity than would be expected for their age during face processing in regions such as the amygdala when compared to controls these positive deviations were widespread at the individual level. A multimodal integration of all functional and anatomical deviations explained 23% of the variance in the clinical DBD phenotype. Most notably, the top marker, encompassing the default mode network (DMN) and subcortical regions such as the amygdala and the striatum, was related to aggression across the whole sample. Conclusions: Overall increased age-related deviations in the amygdala in DBD suggest a maturational delay, which has to be further validated in future studies. Further, the integration of individual deviation patterns from multiple imaging modalities allowed to dissect some of the heterogeneity of DBD and identified the DMN, the striatum and the amygdala as neural signatures that were associated with aggression. [ABSTRACT FROM AUTHOR]
Copyright of Psychological Medicine is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
FullText Text:
  Availability: 0
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 164706337
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Age-related brain deviations and aggression.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Holz%2C+Nathalie+E%2E%22">Holz, Nathalie E.</searchLink><br /><searchLink fieldCode="AR" term="%22Floris%2C+Dorothea+L%2E%22">Floris, Dorothea L.</searchLink><br /><searchLink fieldCode="AR" term="%22Llera%2C+Alberto%22">Llera, Alberto</searchLink><br /><searchLink fieldCode="AR" term="%22Aggensteiner%2C+Pascal+M%2E%22">Aggensteiner, Pascal M.</searchLink><br /><searchLink fieldCode="AR" term="%22Kia%2C+Seyed+Mostafa%22">Kia, Seyed Mostafa</searchLink><br /><searchLink fieldCode="AR" term="%22Wolfers%2C+Thomas%22">Wolfers, Thomas</searchLink><br /><searchLink fieldCode="AR" term="%22Baumeister%2C+Sarah%22">Baumeister, Sarah</searchLink><br /><searchLink fieldCode="AR" term="%22Böttinger%2C+Boris%22">Böttinger, Boris</searchLink><br /><searchLink fieldCode="AR" term="%22Glennon%2C+Jeffrey+C%2E%22">Glennon, Jeffrey C.</searchLink><br /><searchLink fieldCode="AR" term="%22Hoekstra%2C+Pieter+J%2E%22">Hoekstra, Pieter J.</searchLink><br /><searchLink fieldCode="AR" term="%22Dietrich%2C+Andrea%22">Dietrich, Andrea</searchLink><br /><searchLink fieldCode="AR" term="%22Saam%2C+Melanie+C%2E%22">Saam, Melanie C.</searchLink><br /><searchLink fieldCode="AR" term="%22Schulze%2C+Ulrike+M%2E+E%2E%22">Schulze, Ulrike M. E.</searchLink><br /><searchLink fieldCode="AR" term="%22Lythgoe%2C+David+J%2E%22">Lythgoe, David J.</searchLink><br /><searchLink fieldCode="AR" term="%22Williams%2C+Steve+C%2E+R%2E%22">Williams, Steve C. R.</searchLink><br /><searchLink fieldCode="AR" term="%22Santosh%2C+Paramala%22">Santosh, Paramala</searchLink><br /><searchLink fieldCode="AR" term="%22Rosa-Justicia%2C+Mireia%22">Rosa-Justicia, Mireia</searchLink><br /><searchLink fieldCode="AR" term="%22Bargallo%2C+Nuria%22">Bargallo, Nuria</searchLink><br /><searchLink fieldCode="AR" term="%22Castro-Fornieles%2C+Josefina%22">Castro-Fornieles, Josefina</searchLink><br /><searchLink fieldCode="AR" term="%22Arango%2C+Celso%22">Arango, Celso</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Psychological+Medicine%22">Psychological Medicine</searchLink>. Jul2023, Vol. 53 Issue 9, p4012-4021. 10p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Amygdaloid+body+physiology%22">Amygdaloid body physiology</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+factors+of+aggression%22">Risk factors of aggression</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+diseases%22">Brain diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Sensorimotor+integration%22">Sensorimotor integration</searchLink><br /><searchLink fieldCode="DE" term="%22Age+distribution%22">Age distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Basal+ganglia%22">Basal ganglia</searchLink><br /><searchLink fieldCode="DE" term="%22Behavior+disorders%22">Behavior disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Neural+development%22">Neural development</searchLink><br /><searchLink fieldCode="DE" term="%22Child+psychopathology%22">Child psychopathology</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Emotions%22">Emotions</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+risk+factors%22">Disease risk factors</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: Disruptive behavior disorders (DBD) are heterogeneous at the clinical and the biological level. Therefore, the aims were to dissect the heterogeneous neurodevelopmental deviations of the affective brain circuitry and provide an integration of these differences across modalities. Methods: We combined two novel approaches. First, normative modeling to map deviations from the typical age-related pattern at the level of the individual of (i) activity during emotion matching and (ii) of anatomical images derived from DBD cases (n = 77) and controls (n = 52) aged 8–18 years from the EU-funded Aggressotype and MATRICS consortia. Second, linked independent component analysis to integrate subject-specific deviations from both modalities. Results: While cases exhibited on average a higher activity than would be expected for their age during face processing in regions such as the amygdala when compared to controls these positive deviations were widespread at the individual level. A multimodal integration of all functional and anatomical deviations explained 23% of the variance in the clinical DBD phenotype. Most notably, the top marker, encompassing the default mode network (DMN) and subcortical regions such as the amygdala and the striatum, was related to aggression across the whole sample. Conclusions: Overall increased age-related deviations in the amygdala in DBD suggest a maturational delay, which has to be further validated in future studies. Further, the integration of individual deviation patterns from multiple imaging modalities allowed to dissect some of the heterogeneity of DBD and identified the DMN, the striatum and the amygdala as neural signatures that were associated with aggression. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Psychological Medicine is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=164706337
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1017/S003329172200068X
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 4012
    Subjects:
      – SubjectFull: Amygdaloid body physiology
        Type: general
      – SubjectFull: Risk factors of aggression
        Type: general
      – SubjectFull: Brain diseases
        Type: general
      – SubjectFull: Sensorimotor integration
        Type: general
      – SubjectFull: Age distribution
        Type: general
      – SubjectFull: Basal ganglia
        Type: general
      – SubjectFull: Behavior disorders
        Type: general
      – SubjectFull: Risk assessment
        Type: general
      – SubjectFull: Neural development
        Type: general
      – SubjectFull: Child psychopathology
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Emotions
        Type: general
      – SubjectFull: Disease risk factors
        Type: general
    Titles:
      – TitleFull: Age-related brain deviations and aggression.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Holz, Nathalie E.
      – PersonEntity:
          Name:
            NameFull: Floris, Dorothea L.
      – PersonEntity:
          Name:
            NameFull: Llera, Alberto
      – PersonEntity:
          Name:
            NameFull: Aggensteiner, Pascal M.
      – PersonEntity:
          Name:
            NameFull: Kia, Seyed Mostafa
      – PersonEntity:
          Name:
            NameFull: Wolfers, Thomas
      – PersonEntity:
          Name:
            NameFull: Baumeister, Sarah
      – PersonEntity:
          Name:
            NameFull: Böttinger, Boris
      – PersonEntity:
          Name:
            NameFull: Glennon, Jeffrey C.
      – PersonEntity:
          Name:
            NameFull: Hoekstra, Pieter J.
      – PersonEntity:
          Name:
            NameFull: Dietrich, Andrea
      – PersonEntity:
          Name:
            NameFull: Saam, Melanie C.
      – PersonEntity:
          Name:
            NameFull: Schulze, Ulrike M. E.
      – PersonEntity:
          Name:
            NameFull: Lythgoe, David J.
      – PersonEntity:
          Name:
            NameFull: Williams, Steve C. R.
      – PersonEntity:
          Name:
            NameFull: Santosh, Paramala
      – PersonEntity:
          Name:
            NameFull: Rosa-Justicia, Mireia
      – PersonEntity:
          Name:
            NameFull: Bargallo, Nuria
      – PersonEntity:
          Name:
            NameFull: Castro-Fornieles, Josefina
      – PersonEntity:
          Name:
            NameFull: Arango, Celso
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: Jul2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 00332917
          Numbering:
            – Type: volume
              Value: 53
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: Psychological Medicine
              Type: main
ResultId 1