PMID- 30853896
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20201001
IS  - 1662-5102 (Print)
IS  - 1662-5102 (Electronic)
IS  - 1662-5102 (Linking)
VI  - 13
DP  - 2019
TI  - Default Mode Network Structural Integrity and Cerebellar Connectivity Predict 
      Information Processing Speed Deficit in Multiple Sclerosis.
PG  - 21
LID - 10.3389/fncel.2019.00021 [doi]
LID - 21
AB  - Cognitive impairment affects about 50% of multiple sclerosis (MS) patients, but 
      the mechanisms underlying this remain unclear. The default mode network (DMN) has 
      been linked with cognition, but in MS its role is still poorly understood. 
      Moreover, within an extended DMN network including the cerebellum (CBL-DMN), the 
      contribution of cortico-cerebellar connectivity to MS cognitive performance 
      remains unexplored. The present study investigated associations of DMN and 
      CBL-DMN structural connectivity with cognitive processing speed in MS, in both 
      cognitively impaired (CIMS) and cognitively preserved (CPMS) MS patients. 68 MS 
      patients and 22 healthy controls (HCs) completed a symbol digit modalities test 
      (SDMT) and had 3T brain magnetic resonance imaging (MRI) scans that included a 
      diffusion weighted imaging protocol. DMN and CBL-DMN tracts were reconstructed 
      with probabilistic tractography. These networks (DMN and CBL-DMN) and the 
      cortico-cerebellar tracts alone were modeled using a graph theoretical approach 
      with fractional anisotropy (FA) as the weighting factor. Brain parenchymal 
      fraction (BPF) was also calculated. In CIMS SDMT scores strongly correlated with 
      the FA-weighted global efficiency (GE) of the network [GE(CBL-DMN): rho = 0.87, R 
      (2) = 0.76, p < 0.001; GE(DMN): rho = 0.82, R (2) = 0.67, p < 0.001; GE(CBL): rho = 
      0.80, R (2) = 0.64, p < 0.001]. In CPMS the correlation between these measures 
      was significantly lower [GE(CBL-DMN): rho = 0.51, R (2) = 0.26, p < 0.001; GE(DMN): 
      rho = 0.48, R (2) = 0.23, p = 0.001; GE(CBL): rho = 0.52, R (2) = 0.27, p < 0.001] 
      and SDMT scores correlated most with BPF (rho = 0.57, R (2) = 0.33, p < 0.001). In 
      a multivariable regression model where SDMT was the independent variable, 
      FA-weighted GE was the only significant explanatory variable in CIMS, while in 
      CPMS BPF and expanded disability status scale were significant. No significant 
      correlation was found in HC between SDMT scores, MRI or network measures. DMN 
      structural GE is related to cognitive performance in MS, and results of CBL-DMN 
      suggest that the cerebellum structural connectivity to the DMN plays an important 
      role in information processing speed decline.
FAU - Savini, Giovanni
AU  - Savini G
AD  - Department of Physics, University of Milan, Milan, Italy.
FAU - Pardini, Matteo
AU  - Pardini M
AD  - Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics and Maternal 
      and Child Health, University of Genoa, Genoa, Italy.
AD  - Ospedale Policlinico S. Martino, Genoa, Italy.
FAU - Castellazzi, Gloria
AU  - Castellazzi G
AD  - Department of Electrical, Computer and Biomedical Engineering, University of 
      Pavia, Pavia, Italy.
AD  - NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, 
      Institute of Neurology, University College London, London, United Kingdom.
FAU - Lascialfari, Alessandro
AU  - Lascialfari A
AD  - Department of Physics, University of Milan, Milan, Italy.
FAU - Chard, Declan
AU  - Chard D
AD  - NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, 
      Institute of Neurology, University College London, London, United Kingdom.
AD  - National Institute for Health Research, University College London Hospitals, 
      Biomedical Research Centre, London, United Kingdom.
FAU - D'Angelo, Egidio
AU  - D'Angelo E
AD  - Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
AD  - Brain Connectivity Center, IRCCS Mondino Foundation, Pavia, Italy.
FAU - Gandini Wheeler-Kingshott, Claudia A M
AU  - Gandini Wheeler-Kingshott CAM
AD  - NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, 
      Institute of Neurology, University College London, London, United Kingdom.
AD  - Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
AD  - Brain MRI 3T Mondino Research Center, IRCCS Mondino Foundation, Pavia, Italy.
LA  - eng
PT  - Journal Article
DEP - 20190211
PL  - Switzerland
TA  - Front Cell Neurosci
JT  - Frontiers in cellular neuroscience
JID - 101477935
PMC - PMC6396736
OTO - NOTNLM
OT  - cerebellum
OT  - connectomics
OT  - default mode network (DMN)
OT  - diffusion weighted imaging (DWI)
OT  - magnetic resonance imaging (MRI)
OT  - multiple sclerosis (MS)
OT  - symbol digit modalities test (SDMT)
OT  - tractography
EDAT- 2019/03/12 06:00
MHDA- 2019/03/12 06:01
PMCR- 2019/01/01
CRDT- 2019/03/12 06:00
PHST- 2018/07/02 00:00 [received]
PHST- 2019/01/17 00:00 [accepted]
PHST- 2019/03/12 06:00 [entrez]
PHST- 2019/03/12 06:00 [pubmed]
PHST- 2019/03/12 06:01 [medline]
PHST- 2019/01/01 00:00 [pmc-release]
AID - 10.3389/fncel.2019.00021 [doi]
PST - epublish
SO  - Front Cell Neurosci. 2019 Feb 11;13:21. doi: 10.3389/fncel.2019.00021. 
      eCollection 2019.