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@ARTICLE{Nubaum:877952,
      author       = {Nußbaum, René and Lucht, Sarah and Jockwitz, Christiane
                      and Moebus, Susanne and Engel, Miriam and Jöckel,
                      Karl-Heinz and Caspers, Svenja and Hoffmann, Barbara},
      title        = {{A}ssociations of air pollution and noise with local brain
                      structure in a cohort of older adults.},
      journal      = {Environmental health perspectives},
      volume       = {128},
      number       = {6},
      issn         = {1552-9924},
      address      = {Research Triangle Park, N.C. [u.a.]},
      reportid     = {FZJ-2020-02531},
      pages        = {067012},
      year         = {2020},
      abstract     = {Despite the importance of understanding associations of air
                      pollution and noise exposure with loss of neurocognitive
                      performance, studies investigating these exposures and local
                      brain structure are limited.We estimated associations of
                      residential air pollution and noise exposures with
                      neurocognitive test performance and the local gyrification
                      index (lGI), a marker for local brain atrophy, among older
                      adults.For n = 615 participants from the population-based
                      1000BRAINS study, based on the German Heinz Nixdorf Recall
                      study, we assessed residential exposures to particulate
                      matter ( PM 10 , PM 2.5 , PM 2.5 abs ), accumulation mode
                      particle number ( PN AM ), and nitrogen oxides ( NO x , NO 2
                      ), using land-use regression and chemistry transport models.
                      Weighted 24-h and nighttime noise were modeled according to
                      the European noise directive. We evaluated associations of
                      air pollution and noise exposure at the participants'
                      2006-2008 residential addresses with neurocognitive test
                      performance and region-specific lGI values ( n = 590 ) from
                      magnetic resonance imaging, both assessed in 2011-2015,
                      using linear regression and adjusting for demographic and
                      personal characteristics.Air pollution and noise were
                      associated with language and short-term/working memory and
                      with local atrophy of the fronto-parietal network (FPN), a
                      functional resting-state network associated with these
                      cognitive processes. For example, per 2 - μ g / m 3 PM 10 ,
                      local brain atrophy was more pronounced in the posterior
                      brain regions of the FPN, with a - 0.02 $[95\%$ confidence
                      interval (CI): - 0.04 , 0.00] lower lGI. In contrast, in the
                      anterior regions of the FPN, weighted 24-h and nighttime
                      noise were associated with less local brain atrophy [e.g.,
                      0.02 $(95\%$ CI: 0.00, 0.04) for 10 dB (A) 24-h noise].Air
                      pollution and noise exposures were associated in opposite
                      directions with markers of local atrophy of the FPN in the
                      right brain hemisphere in older adults, suggesting that both
                      chronic air pollution and noise exposure may influence the
                      physiological aging process of the brain.
                      https://doi.org/10.1289/EHP5859.},
      cin          = {INM-1 / JARA-BRAIN},
      ddc          = {690},
      cid          = {I:(DE-Juel1)INM-1-20090406 / $I:(DE-82)080010_20140620$},
      pnm          = {571 - Connectivity and Activity (POF3-571) / HBP SGA2 -
                      Human Brain Project Specific Grant Agreement 2 (785907)},
      pid          = {G:(DE-HGF)POF3-571 / G:(EU-Grant)785907},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32539589},
      pmc          = {pmc:PMC7295241},
      UT           = {WOS:000548216800002},
      doi          = {10.1289/EHP5859},
      url          = {https://juser.fz-juelich.de/record/877952},
}