PMID- 31690806
OWN - NLM
STAT- MEDLINE
DCOM- 20201027
LR  - 20210110
IS  - 2045-2322 (Electronic)
IS  - 2045-2322 (Linking)
VI  - 9
IP  - 1
DP  - 2019 Nov 5
TI  - Age and hippocampal volume predict distinct parts of default mode network 
      activity.
PG  - 16075
LID - 10.1038/s41598-019-52488-9 [doi]
LID - 16075
AB  - Group comparison studies have established that activity in the posterior part of 
      the default-mode network (DMN) is down-regulated by both normal ageing and 
      Alzheimer's disease (AD). In this study linear regression models were used to 
      disentangle distinctive DMN activity patterns that are more profoundly associated 
      with either normal ageing or a structural marker of neurodegeneration. 312 
      datasets inclusive of healthy adults and patients were analysed. Days of life at 
      scan (DOL) and hippocampal volume were used as predictors. Group comparisons 
      confirmed a significant association between functional connectivity in the 
      posterior cingulate/retrosplenial cortex and precuneus and both ageing and AD. 
      Fully-corrected regression models revealed that DOL significantly predicted DMN 
      strength in these regions. No such effect, however, was predicted by hippocampal 
      volume. A significant positive association was found between hippocampal volumes 
      and DMN connectivity in the right temporo-parietal junction (TPJ). These results 
      indicate that postero-medial DMN down-regulation may not be specific to 
      neurodegenerative processes but may be more an indication of brain vulnerability 
      to degeneration. The DMN-TPJ disconnection is instead linked to the volumetric 
      properties of the hippocampus, may reflect early-stage regional accumulation of 
      pathology and might be of aid in the clinical detection of abnormal ageing.
FAU - De Marco, Matteo
AU  - De Marco M
AUID- ORCID: 0000-0002-9240-8067
AD  - Department of Neuroscience, Medical School, University of Sheffield, Royal 
      Hallamshire Hospital, Beech Hill Road, S10 2RX, Sheffield, UK.
FAU - Ourselin, Sebastien
AU  - Ourselin S
AD  - Department of Imaging and Biomedical Engineering, King's College London, Strand, 
      London, UK.
FAU - Venneri, Annalena
AU  - Venneri A
AUID- ORCID: 0000-0002-9488-2301
AD  - Department of Neuroscience, Medical School, University of Sheffield, Royal 
      Hallamshire Hospital, Beech Hill Road, S10 2RX, Sheffield, UK. 
      a.venneri@sheffield.ac.uk.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20191105
PL  - England
TA  - Sci Rep
JT  - Scientific reports
JID - 101563288
SB  - IM
MH  - Adult
MH  - Aged
MH  - Aged, 80 and over
MH  - *Aging
MH  - *Alzheimer Disease/diagnostic imaging/pathology/physiopathology
MH  - Female
MH  - *Hippocampus/diagnostic imaging/pathology/physiopathology
MH  - Humans
MH  - *Magnetic Resonance Imaging
MH  - Male
MH  - Middle Aged
MH  - *Models, Neurological
MH  - *Nerve Net
MH  - Organ Size
PMC - PMC6831650
COIS- The authors declare no competing interests.
EDAT- 2019/11/07 06:00
MHDA- 2020/10/28 06:00
PMCR- 2019/11/05
CRDT- 2019/11/07 06:00
PHST- 2019/03/15 00:00 [received]
PHST- 2019/10/08 00:00 [accepted]
PHST- 2019/11/07 06:00 [entrez]
PHST- 2019/11/07 06:00 [pubmed]
PHST- 2020/10/28 06:00 [medline]
PHST- 2019/11/05 00:00 [pmc-release]
AID - 10.1038/s41598-019-52488-9 [pii]
AID - 52488 [pii]
AID - 10.1038/s41598-019-52488-9 [doi]
PST - epublish
SO  - Sci Rep. 2019 Nov 5;9(1):16075. doi: 10.1038/s41598-019-52488-9.