PMID- 28323821
OWN - NLM
STAT- MEDLINE
DCOM- 20170823
LR  - 20190208
IS  - 1932-6203 (Electronic)
IS  - 1932-6203 (Linking)
VI  - 12
IP  - 3
DP  - 2017
TI  - Comparing resting state fMRI de-noising approaches using multi- and single-echo 
      acquisitions.
PG  - e0173289
LID - 10.1371/journal.pone.0173289 [doi]
LID - e0173289
AB  - Artifact removal in resting state fMRI (rfMRI) data remains a serious challenge, 
      with even subtle head motion undermining reliability and reproducibility. Here we 
      compared some of the most popular single-echo de-noising methods-regression of 
      Motion parameters, White matter and Cerebrospinal fluid signals (MWC method), 
      FMRIB's ICA-based X-noiseifier (FIX) and ICA-based Automatic Removal Of Motion 
      Artifacts (ICA-AROMA)-with a multi-echo approach (ME-ICA) that exploits the 
      linear dependency of BOLD on the echo time. Data were acquired using a clinical 
      scanner and included 30 young, healthy participants (minimal head motion) and 30 
      Attention Deficit Hyperactivity Disorder patients (greater head motion). 
      De-noising effectiveness was assessed in terms of data quality after each cleanup 
      procedure, ability to uncouple BOLD signal and motion and preservation of default 
      mode network (DMN) functional connectivity. Most cleaning methods showed a 
      positive impact on data quality. However, based on the investigated metrics, 
      ME-ICA was the most robust. It minimized the impact of motion on FC even for high 
      motion participants and preserved DMN functional connectivity structure. The 
      high-quality results obtained using ME-ICA suggest that using a multi-echo EPI 
      sequence, reliable rfMRI data can be obtained in a clinical setting.
FAU - Dipasquale, Ottavia
AU  - Dipasquale O
AUID- ORCID: 0000-0002-2867-8222
AD  - Department of Electronics, Information and Bioengineering, Politecnico di Milano, 
      Milan, Italy.
AD  - Fondazione don Carlo Gnocchi ONLUS, IRCCS Santa Maria Nascente, Milan, Italy.
AD  - Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, Brighton, 
      United Kingdom.
FAU - Sethi, Arjun
AU  - Sethi A
AD  - Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, Brighton, 
      United Kingdom.
FAU - Lagana, Maria Marcella
AU  - Lagana MM
AD  - Fondazione don Carlo Gnocchi ONLUS, IRCCS Santa Maria Nascente, Milan, Italy.
FAU - Baglio, Francesca
AU  - Baglio F
AD  - Fondazione don Carlo Gnocchi ONLUS, IRCCS Santa Maria Nascente, Milan, Italy.
FAU - Baselli, Giuseppe
AU  - Baselli G
AD  - Department of Electronics, Information and Bioengineering, Politecnico di Milano, 
      Milan, Italy.
FAU - Kundu, Prantik
AU  - Kundu P
AD  - Section on Advanced Functional Neuroimaging, Brain Imaging Center, Icahn School 
      of Medicine at Mount Sinai, New York, United States of America.
FAU - Harrison, Neil A
AU  - Harrison NA
AD  - Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, Brighton, 
      United Kingdom.
AD  - Sussex Partnership NHS Foundation Trust, Brighton, United Kingdom.
AD  - Sackler Centre for Consciousness Science, University of Sussex, Brighton, United 
      Kingdom.
FAU - Cercignani, Mara
AU  - Cercignani M
AD  - Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, Brighton, 
      United Kingdom.
LA  - eng
PT  - Comparative Study
PT  - Journal Article
DEP - 20170321
PL  - United States
TA  - PLoS One
JT  - PloS one
JID - 101285081
RN  - S88TT14065 (Oxygen)
SB  - IM
MH  - Adult
MH  - *Artifacts
MH  - Attention Deficit Disorder with Hyperactivity/diagnostic imaging/physiopathology
MH  - Brain/*diagnostic imaging/physiology/physiopathology
MH  - Cerebrovascular Circulation/physiology
MH  - Female
MH  - *Head Movements
MH  - Humans
MH  - Image Processing, Computer-Assisted/*methods
MH  - Linear Models
MH  - Magnetic Resonance Imaging/*methods
MH  - Male
MH  - Oxygen/blood
MH  - Rest
PMC - PMC5360253
COIS- Competing Interests: Prof. Mara Cercignani is a past Academic Editor of PLOS ONE. 
      This does not alter our adherence to PLOS ONE policies on sharing data and 
      materials.
EDAT- 2017/03/23 06:00
MHDA- 2017/08/24 06:00
PMCR- 2017/03/21
CRDT- 2017/03/22 06:00
PHST- 2016/06/30 00:00 [received]
PHST- 2017/02/17 00:00 [accepted]
PHST- 2017/03/22 06:00 [entrez]
PHST- 2017/03/23 06:00 [pubmed]
PHST- 2017/08/24 06:00 [medline]
PHST- 2017/03/21 00:00 [pmc-release]
AID - PONE-D-16-26302 [pii]
AID - 10.1371/journal.pone.0173289 [doi]
PST - epublish
SO  - PLoS One. 2017 Mar 21;12(3):e0173289. doi: 10.1371/journal.pone.0173289. 
      eCollection 2017.