PMID- 25691865
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20150218
LR  - 20200930
IS  - 1662-5161 (Print)
IS  - 1662-5161 (Electronic)
IS  - 1662-5161 (Linking)
VI  - 9
DP  - 2015
TI  - High-Dimensional ICA Analysis Detects Within-Network Functional Connectivity 
      Damage of Default-Mode and Sensory-Motor Networks in Alzheimer's Disease.
PG  - 43
LID - 10.3389/fnhum.2015.00043 [doi]
LID - 43
AB  - High-dimensional independent component analysis (ICA), compared to 
      low-dimensional ICA, allows to conduct a detailed parcellation of the 
      resting-state networks. The purpose of this study was to give further insight 
      into functional connectivity (FC) in Alzheimer's disease (AD) using 
      high-dimensional ICA. For this reason, we performed both low- and 
      high-dimensional ICA analyses of resting-state fMRI data of 20 healthy controls 
      and 21 patients with AD, focusing on the primarily altered default-mode network 
      (DMN) and exploring the sensory-motor network. As expected, results obtained at 
      low dimensionality were in line with previous literature. Moreover, 
      high-dimensional results allowed us to observe either the presence of 
      within-network disconnections and FC damage confined to some of the resting-state 
      subnetworks. Due to the higher sensitivity of the high-dimensional ICA analysis, 
      our results suggest that high-dimensional decomposition in subnetworks is very 
      promising to better localize FC alterations in AD and that FC damage is not 
      confined to the DMN.
FAU - Dipasquale, Ottavia
AU  - Dipasquale O
AD  - IRCCS, Don Gnocchi Foundation , Milan , Italy ; Department of Electronics, 
      Information and Bioengineering, Politecnico di Milano , Milan , Italy.
FAU - Griffanti, Ludovica
AU  - Griffanti L
AD  - IRCCS, Don Gnocchi Foundation , Milan , Italy ; Department of Electronics, 
      Information and Bioengineering, Politecnico di Milano , Milan , Italy ; FMRIB 
      (Oxford University Centre for Functional MRI of the Brain) , Oxford , UK.
FAU - Clerici, Mario
AU  - Clerici M
AD  - IRCCS, Don Gnocchi Foundation , Milan , Italy ; Universita degli Studi di Milano 
      , Milan , Italy.
FAU - Nemni, Raffaello
AU  - Nemni R
AD  - IRCCS, Don Gnocchi Foundation , Milan , Italy ; Universita degli Studi di Milano 
      , Milan , Italy.
FAU - Baselli, Giuseppe
AU  - Baselli G
AD  - Department of Electronics, Information and Bioengineering, Politecnico di Milano 
      , Milan , Italy.
FAU - Baglio, Francesca
AU  - Baglio F
AD  - IRCCS, Don Gnocchi Foundation , Milan , Italy.
LA  - eng
PT  - Journal Article
DEP - 20150203
PL  - Switzerland
TA  - Front Hum Neurosci
JT  - Frontiers in human neuroscience
JID - 101477954
PMC - PMC4315015
OTO - NOTNLM
OT  - Alzheimer's disease
OT  - default-mode network
OT  - functional connectivity
OT  - group independent component analysis
OT  - resting-state fMRI
OT  - sensory-motor network
EDAT- 2015/02/19 06:00
MHDA- 2015/02/19 06:01
PMCR- 2015/01/01
CRDT- 2015/02/19 06:00
PHST- 2014/10/17 00:00 [received]
PHST- 2015/01/16 00:00 [accepted]
PHST- 2015/02/19 06:00 [entrez]
PHST- 2015/02/19 06:00 [pubmed]
PHST- 2015/02/19 06:01 [medline]
PHST- 2015/01/01 00:00 [pmc-release]
AID - 10.3389/fnhum.2015.00043 [doi]
PST - epublish
SO  - Front Hum Neurosci. 2015 Feb 3;9:43. doi: 10.3389/fnhum.2015.00043. eCollection 
      2015.