PMID- 30209786
OWN - NLM
STAT- MEDLINE
DCOM- 20200131
LR  - 20200131
IS  - 1931-7565 (Electronic)
IS  - 1931-7557 (Linking)
VI  - 13
IP  - 5
DP  - 2019 Oct
TI  - Associations of brain entropy (BEN) to cerebral blood flow and fractional 
      amplitude of low-frequency fluctuations in the resting brain.
PG  - 1486-1495
LID - 10.1007/s11682-018-9963-4 [doi]
AB  - Entropy is a fundamental trait of human brain. Using fMRI-based brain entropy 
      (BEN) mapping, interesting findings have been increasingly revealed in normal 
      brain and neuropsychiatric disorders. As BEN is still relatively new, an 
      often-raised question is how much new information can this measure tell about the 
      brain compared to other more established brain activity measures. The study aimed 
      to address that question by examining the relationship between BEN and cerebral 
      blood flow (CBF) and the fractional amplitude of low-frequency fluctuations 
      (fALFF), two widely used resting state brain state measures. fMRI data acquired 
      from a large cohort of normal subjects were used to calculate the three metrics; 
      inter-modality associations were assessed at each voxel through the Pearson 
      correlation analysis. A moderate to high positive BEN-CBF and BEN-fALFF 
      correlations were found in orbito-frontal cortex (OFC) and posterior inferior 
      temporal cortex (ITC); Strong negative BEN-fALFF correlations were found in 
      visual cortex (VC), anterior ITC, striatum, motor network, precuneus, and lateral 
      parietal cortex. Positive CBF-fALFF correlations were found in medial OFC (MOFC), 
      medial prefrontal cortex (MPFC), left angular gyrus, and left precuneus. 
      Significant gender effects were observed for all three metrics and their 
      correlations. Our data clearly demonstrated that BEN provides unique information 
      that cannot be revealed by CBF and fALFF.
FAU - Song, Donghui
AU  - Song D
AD  - Center for Cognition and Brain Disorders, Department of Psychology, Hangzhou 
      Normal University, Hangzhou, China.
FAU - Chang, Da
AU  - Chang D
AD  - Center for Cognition and Brain Disorders, Department of Psychology, Hangzhou 
      Normal University, Hangzhou, China.
FAU - Zhang, Jian
AU  - Zhang J
AD  - Center for Cognition and Brain Disorders, Department of Psychology, Hangzhou 
      Normal University, Hangzhou, China.
FAU - Ge, Qiu
AU  - Ge Q
AD  - Center for Cognition and Brain Disorders, Department of Psychology, Hangzhou 
      Normal University, Hangzhou, China.
FAU - Zang, Yu-Feng
AU  - Zang YF
AD  - Center for Cognition and Brain Disorders, Department of Psychology, Hangzhou 
      Normal University, Hangzhou, China.
FAU - Wang, Ze
AU  - Wang Z
AUID- ORCID: 0000-0002-8339-5567
AD  - Center for Cognition and Brain Disorders, Department of Psychology, Hangzhou 
      Normal University, Hangzhou, China. zewangnew@temple.edu.
AD  - Department of Radiology, Lewis Katz School of Medicine, Temple University, 3401 N 
      Broad Street, 1st Floor, Radiology, Philadelphia, PA, 19140, USA. 
      zewangnew@temple.edu.
LA  - eng
GR  - Grant LZ15H180001/Natural Science Foundation of Zhejiang Province/
GR  - No. 61671198/National Natural Science Foundation of China/
PT  - Journal Article
PL  - United States
TA  - Brain Imaging Behav
JT  - Brain imaging and behavior
JID - 101300405
SB  - IM
MH  - Adult
MH  - Brain/*diagnostic imaging/*physiopathology
MH  - *Brain Mapping
MH  - Cerebrovascular Circulation/*physiology
MH  - *Entropy
MH  - Female
MH  - Frontal Lobe
MH  - Humans
MH  - *Magnetic Resonance Imaging
MH  - Male
MH  - Prefrontal Cortex
MH  - Temporal Lobe/physiopathology
OTO - NOTNLM
OT  - Brain entropy
OT  - Cerebral blood flow
OT  - Fractional amplitude of the low-frequency fluctuations
OT  - Resting state fMRI
EDAT- 2018/09/14 06:00
MHDA- 2020/02/01 06:00
CRDT- 2018/09/14 06:00
PHST- 2018/09/14 06:00 [pubmed]
PHST- 2020/02/01 06:00 [medline]
PHST- 2018/09/14 06:00 [entrez]
AID - 10.1007/s11682-018-9963-4 [pii]
AID - 10.1007/s11682-018-9963-4 [doi]
PST - ppublish
SO  - Brain Imaging Behav. 2019 Oct;13(5):1486-1495. doi: 10.1007/s11682-018-9963-4.