Literature DB >> 30209786

Associations of brain entropy (BEN) to cerebral blood flow and fractional amplitude of low-frequency fluctuations in the resting brain.

Donghui Song1, Da Chang1, Jian Zhang1, Qiu Ge1, Yu-Feng Zang1, Ze Wang2,3.   

Abstract

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.

Entities:  

Keywords:  Brain entropy; Cerebral blood flow; Fractional amplitude of the low-frequency fluctuations; Resting state fMRI

Year:  2019        PMID: 30209786     DOI: 10.1007/s11682-018-9963-4

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  8 in total

1.  The thermodynamics of cognition: A mathematical treatment.

Authors:  Eva Deli; James Peters; Zoltán Kisvárday
Journal:  Comput Struct Biotechnol J       Date:  2021-01-12       Impact factor: 7.271

2.  Associations between cerebral blood flow and structural and functional brain imaging measures in individuals with neuropsychologically defined mild cognitive impairment.

Authors:  Chan-Mi Kim; Rachel L Alvarado; Kimberly Stephens; Hsiao-Ying Wey; Dany J J Wang; Elizabeth C Leritz; David H Salat
Journal:  Neurobiol Aging       Date:  2019-11-06       Impact factor: 4.673

3.  Lower resting brain entropy is associated with stronger task activation and deactivation.

Authors:  Liandong Lin; Da Chang; Donghui Song; Yiran Li; Ze Wang
Journal:  Neuroimage       Date:  2022-01-05       Impact factor: 6.556

4.  The neurocognitive correlates of brain entropy estimated by resting state fMRI.

Authors:  Ze Wang
Journal:  Neuroimage       Date:  2021-02-20       Impact factor: 6.556

5.  Smoking Cessation With 20 Hz Repetitive Transcranial Magnetic Stimulation (rTMS) Applied to Two Brain Regions: A Pilot Study.

Authors:  Da Chang; Jian Zhang; Wei Peng; Zhuowen Shen; Xin Gao; Youhong Du; Qiu Ge; Donghui Song; Yuanqi Shang; Ze Wang
Journal:  Front Hum Neurosci       Date:  2018-09-24       Impact factor: 3.169

6.  Model-based stationarity filtering of long-term memory data applied to resting-state blood-oxygen-level-dependent signal.

Authors:  Ishita Rai Bansal; Arian Ashourvan; Maxwell Bertolero; Danielle S Bassett; Sérgio Pequito
Journal:  PLoS One       Date:  2022-07-27       Impact factor: 3.752

7.  Relationship Between Basic Properties of BOLD Fluctuations and Calculated Metrics of Complexity in the Human Connectome Project.

Authors:  Shella Keilholz; Eric Maltbie; Xiaodi Zhang; Behnaz Yousefi; Wen-Ju Pan; Nan Xu; Maysam Nezafati; Theodore J LaGrow; Ying Guo
Journal:  Front Neurosci       Date:  2020-09-15       Impact factor: 4.677

8.  Sex classification using long-range temporal dependence of resting-state functional MRI time series.

Authors:  Elvisha Dhamala; Keith W Jamison; Mert R Sabuncu; Amy Kuceyeski
Journal:  Hum Brain Mapp       Date:  2020-07-06       Impact factor: 5.038

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.