title: Database of normal Japanese gray matter volumes in the default mode network.
abstract: OBJECTIVE
  To show the gray matter volumes in the default mode network (DMN) using the atlas-based method and to evaluate age-related volume change in the DMN region. Estimation of gray matter volumes is interesting research because previous reports showed an association with gray matter volume (GMV) and diseases.
  
  
  METHODS
  We focused on five nodes of the DMN (posterior cingulate, precuneus, lateral temporal cortex [LTC], medial prefrontal cortex, and inferior parietal lobule). In all, 1122 healthy adults were included in the present study. T1-weighted magnetic resonance (MR) images were obtained using a 3T-MR scanner. To investigate GMV in the DMN, segmented gray matter images were measured by the atlas-based method, using Statistical Parametric Mapping 5. Volumes were expressed using three different methods: region of interest (ROI)-volume (mL), the volume itself; ROI-TIV (%), as a percentage of total intracranial volume (individual difference of head size is corrected); and ROI-GMV (%), as a percentage of gray matter volume (individual difference of atrophy speed for aging is corrected).
  
  
  RESULTS
  Negative correlations between measurement values on ROI and age were observed in all five ROIs of the DMN region by two measures of volume (ROI-volume (mL) and ROI-TIV (%)), in both genders. In contrast, positive correlations between measurement values on ROI and age were observed in the posterior cingulate and LTC with ROI-GMV (%), in both genders.
  
  
  CONCLUSIONS
  The present study is the first report about volume change in the DMN that includes age-related effects.
authors.affiliation: Department of Radiological Technology, University of Tokyo Hospital, Tokyo, Japan.
authors.forename: Masami
authors.initials: M
authors.lastname: Goto
authors.forename: Osamu
authors.initials: O
authors.lastname: Abe
authors.forename: Shigeki
authors.initials: S
authors.lastname: Aoki
authors.forename: Hidemasa
authors.initials: H
authors.lastname: Takao
authors.forename: Naoto
authors.initials: N
authors.lastname: Hayashi
authors.forename: Tosiaki
authors.initials: T
authors.lastname: Miyati
authors.forename: Harushi
authors.initials: H
authors.lastname: Mori
authors.forename: Akira
authors.initials: A
authors.lastname: Kunimatsu
authors.forename: Kenji
authors.initials: K
authors.lastname: Ino
authors.forename: Keiichi
authors.initials: K
authors.lastname: Yano
authors.forename: Kuni
authors.initials: K
authors.lastname: Ohtomo
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D005260:Female; D006179:Gyrus Cinguli / Q000473:pathology; D064368:Healthy Volunteers; D006801:Humans; D007091:Image Processing, Computer-Assisted; D016014:Linear Models; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D010296:Parietal Lobe / Q000473:pathology; D017397:Prefrontal Cortex / Q000473:pathology; D013702:Temporal Lobe / Q000473:pathology
keywords: aging; central nervous system; default mode network; magnetic resonance imaging; volume