Polygenic risk score for schizophrenia and structural brain connectivity in older age: A longitudinal connectome and tractography study.
Neuroimage
; 183: 884-896, 2018 09 01.
Article
en En
| MEDLINE
| ID: mdl-30179718
ABSTRACT
Higher polygenic risk score for schizophrenia (szPGRS) has been associated with lower cognitive function and might be a predictor of decline in brain structure in apparently healthy populations. Age-related declines in structural brain connectivity-measured using white matter diffusion MRI -are evident from cross-sectional data. Yet, it remains unclear how graph theoretical metrics of the structural connectome change over time, and whether szPGRS is associated with differences in ageing-related changes in human brain connectivity. Here, we studied a large, relatively healthy, same-year-of-birth, older age cohort over a period of 3 years (ageâ¯â¼â¯73 years, Nâ¯=â¯731; age â¼76 years, Nâ¯=â¯488). From their brain scans we derived tract-averaged fractional anisotropy (FA) and mean diffusivity (MD), and network topology properties. We investigated the cross-sectional and longitudinal associations between these structural brain variables and szPGRS. Higher szPGRS showed significant associations with longitudinal increases in MD in the splenium (ßâ¯=â¯0.132, pFDRâ¯=â¯0.040), arcuate (ßâ¯=â¯0.291, pFDRâ¯=â¯0.040), anterior thalamic radiations (ßâ¯=â¯0.215, pFDRâ¯=â¯0.040) and cingulum (ßâ¯=â¯0.165, pFDRâ¯=â¯0.040). Significant declines over time were observed in graph theory metrics for FA-weighted networks, such as mean edge weight (ßâ¯=â¯-0.039, pFDRâ¯=â¯0.048) and strength (ßâ¯=â¯-0.027, pFDRâ¯=â¯0.048). No significant associations were found between szPGRS and graph theory metrics. These results are consistent with the hypothesis that szPGRS confers risk for ageing-related degradation of some aspects of structural connectivity.
Palabras clave
Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Esquizofrenia
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Encéfalo
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Conectoma
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Sustancia Blanca
Tipo de estudio:
Etiology_studies
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Observational_studies
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Prevalence_studies
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Prognostic_studies
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Risk_factors_studies
Límite:
Aged
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Humans
Idioma:
En
Revista:
Neuroimage
Asunto de la revista:
DIAGNOSTICO POR IMAGEM
Año:
2018
Tipo del documento:
Article