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Motion during Acquisition is Associated with fMRI Brain Entropy

Clarisse de Vries, Roger T. Staff, Gordon D. Waiter, Moses O. Sokunbi, Anca L. Sandu, Alison D. Murray
2019 IEEE journal of biomedical and health informatics  
However, it is unclear if movement in the scanner is associated with brain entropy after geometric correction for movement.  ...  This paper examines the influence of head motion on fMRI brain entropy. Resting-state and task-based fMRI data from 281 individuals born in Aberdeen between 1950 and 1956 were analyzed.  ...  DISCUSSION Head motion during acquisition is associated with measures of brain entropy after the application of standard motion correction techniques.  ... 
doi:10.1109/jbhi.2019.2907189 pmid:30946681 fatcat:7cdwyrh7c5ee5jvmjyjhdff5gi

Complexity Analysis of Resting-State fMRI in Adult Patients with Attention Deficit Hyperactivity Disorder: Brain Entropy

Gülsüm Akdeniz
2017 Computational Intelligence and Neuroscience  
A total of 25 healthy controls and 20 patients with attention deficit hyperactivity disorder (ADHD) participated. fMRI preprocessing analysis was performed that included head motion correction, temporal  ...  Brain entropy (BEN) was calculated using the Shannon entropy equation. Results. My findings demonstrated that patients exhibited reduced brain complexity in visual brain areas compared to controls.  ...  Entropy, a powerful indicator of irregularity in a system [17] , is not associated with the value of a random variable, but depends only on the distribution of values.  ... 
doi:10.1155/2017/3091815 pmid:29379522 pmcid:PMC5742910 fatcat:iodf3qni3vbznhr3bz37z6czhu

A Heartbeat Away From Consciousness: Heart Rate Variability Entropy Can Discriminate Disorders of Consciousness and Is Correlated With Resting-State fMRI Brain Connectivity of the Central Autonomic Network

Francesco Riganello, Stephen Karl Larroque, Mohamed Ali Bahri, Lizette Heine, Charlotte Martial, Manon Carrière, Vanessa Charland-Verville, Charlène Aubinet, Audrey Vanhaudenhuyse, Camille Chatelle, Steven Laureys, Carol Di Perri
2018 Frontiers in Neurology  
with unresponsive wakefulness syndrome (UWS) and minimally conscious state (MCS), and its relation to brain functional connectivity.  ...  HRV entropy analysis quantifies the unpredictability and complexity of the heart rate beats intervals.  ...  associated with brain regions belonging to the CAN/ANS.  ... 
doi:10.3389/fneur.2018.00769 pmid:30258400 pmcid:PMC6145008 fatcat:xmeq2dhlkrgdjahsovvnrfnkoe

Multiple time scale complexity analysis of resting state FMRI

Robert X. Smith, Lirong Yan, Danny J. J. Wang
2013 Brain Imaging and Behavior  
A long resting state BOLD fMRI (rs-fMRI) scan with 1000 data points was performed on five healthy young volunteers to investigate the spatial and temporal characteristics of entropy across multiple time  ...  effect of healthy aging on the entropy of rs-fMRI.  ...  Introduction The human brain is one of the most complex information processing systems with 10-100 billion neurons and 10 14 synapses.  ... 
doi:10.1007/s11682-013-9276-6 pmid:24242271 pmcid:PMC4011934 fatcat:2eym2da32vdt5kodyckbeuxqjm

Neural complexity as a potential translational biomarker for psychosis

Brandon Hager, Albert C. Yang, Roscoe Brady, Shashwath Meda, Brett Clementz, Godfrey D. Pearlson, John A. Sweeney, Carol Tamminga, Matcheri Keshavan
2017 Journal of Affective Disorders  
We hypothesized that resting-state brain signal complexity is altered in psychotic disorders, and is correlated with cognitive impairment.  ...  The increased brain signal randomness in dorsal or ventral PFC was weakly associated with reduced cognitive performance in psychotic probands.  ...  In addition, resting-state fMRI data are also highly sensitive to motion artifacts, but we took care to exclude scans with significant motion.  ... 
doi:10.1016/j.jad.2016.10.016 pmid:27814962 pmcid:PMC5406267 fatcat:37sdvx53lbezffemz7lh37buze

Resting‐state brain entropy in right temporal lobe epilepsy and its relationship with alertness

Muhua Zhou, Wenyu Jiang, Dan Zhong, Jinou Zheng
2019 Brain and Behavior  
Here, we characterized brain entropy (BEN) alterations in patients with rTLE using resting-state functional MRI(rs-fMRI) and explored the relationship between BEN and alertness.  ...  To date, no functional MRI (fMRI) studies have focused on brain entropy in right temporal lobe epilepsy (rTLE) patients.  ...  Entropy increased during the interictal period and decreased during seizures, indicating that entropy changes with alert state.  ... 
doi:10.1002/brb3.1446 pmid:31605452 pmcid:PMC6851803 fatcat:zw7zesot3ndm7bx6dybr56qgce

Temporal regularity of intrinsic cerebral activity in patients with chronic primary insomnia: a brain entropy study using resting-state fMRI

Fuqing Zhou, Suhua Huang, Lei Gao, Ying Zhuang, Shan Ding, Honghan Gong
2016 Brain and Behavior  
Here, brain entropy (BEN), a data-driven method used to measure the signal regularity of a time series, was applied for the first time to investigate changes in the entire brain at the voxel level.  ...  We also demonstrated that three altered resting-state functional connectivity (rsFC) patterns were associated with abnormal BEN regions in CPI patients.  ...  reported in Appendix S1, while multiple time scale entropy (MSE), another entropy analysis of resting-state fMRI that is a reliable metric of the temporal dynamic analysis of rs-fMRI, is reported in Appendix  ... 
doi:10.1002/brb3.529 pmid:27781143 pmcid:PMC5064341 fatcat:cz5kwosgrvcwxdglzo6egjpfby

Imbalance of Functional Connectivity and Temporal Entropy in Resting-State Networks in Autism Spectrum Disorder: A Machine Learning Approach

Robert X. Smith, Kay Jann, Mirella Dapretto, Danny J. J. Wang
2018 Frontiers in Neuroscience  
Wavelet-based regularity analysis is an entropy measure of the local rs-fMRI time series signal.  ...  The association with ASD symptom severity presents entropy as a potential biomarker.  ...  Alterations in the brain dynamics were further associated with level of symptom severity in individuals with ASD.  ... 
doi:10.3389/fnins.2018.00869 pmid:30542259 pmcid:PMC6277800 fatcat:n5wcabikm5dzdp37exhhjdkapm

Disrupted Brain Entropy And Functional Connectivity Patterns Of Thalamic Subregions In Major Depressive Disorder

Shao-Wei Xue, Donglin Wang, Zhonglin Tan, Yan Wang, Zhenzhen Lian, Yunkai Sun, Xiaojiao Hu, Xiaole Wang, Xin Zhou
2019 Neuropsychiatric Disease and Treatment  
Entropy analysis of resting-state functional magnetic resonance imaging (R-fMRI) has recently been adopted to characterize brain temporal dynamics in some neuropsychological or psychiatric diseases.  ...  We measured the sample entropy of the R-fMRI data from 46 MDD patients and 32 matched healthy controls.  ...  This postulation was consistent with previous MRI studies 41 and our clinical association analysis results between the brain entropy and HDRS scores.  ... 
doi:10.2147/ndt.s220743 pmid:31571880 pmcid:PMC6750201 fatcat:kpnyk4fglnc27b7xo5f4znmwpa

BOLD signal variability and complexity in children and adolescents with and without autism spectrum disorder

Amanda K. Easson, Anthony R. McIntosh
2019 Developmental Cognitive Neuroscience  
Here, resting-state fMRI was used to examine variability and complexity in children and adolescents with and without autism spectrum disorder (ASD).  ...  Variability of neural signaling is an important index of healthy brain functioning, as is signal complexity, which relates to information processing capacity.  ...  Acknowledgements This work is supported by an Ontario Graduate Scholarship and a Finkler Graduate Student Fellowship to AKE, and a Natural Sciences and Engineering Research Council of Canada grant (grant  ... 
doi:10.1016/j.dcn.2019.100630 pmid:30878549 pmcid:PMC6969202 fatcat:yinpvr42ifdz3fk73fpimhijei

Motion correction in fMRI via registration of individual slices into an anatomical volume

Boklye Kim, Jennifer L. Boes, Peyton H. Bland, Thomas L. Chenevert, Charles R. Meyer
1999 Magnetic Resonance in Medicine  
An automated retrospective image registration based on mutual information is adapted to a multislice functional magnetic resonance imaging (fMRI) acquisition protocol to provide accurate motion correction  ...  Motion correction is performed by mapping each slice to an anatomic volume data set acquired in the same fMRI session to accommodate inter-slice head motion.  ...  Dispersion in the 2D gray value scatter plot, p(x,y), and thus joint entropy, of geometrically mapped pixel gray value pairs from a set of images is associated with (mis)registration.  ... 
doi:10.1002/(sici)1522-2594(199905)41:5<964::aid-mrm16>3.3.co;2-4 fatcat:ye57cexyjramli5367lxb5sipi

Motion correction in fMRI via registration of individual slices into an anatomical volume

Boklye Kim, Jennifer L. Boes, Peyton H. Bland, Thomas L. Chenevert, Charles R. Meyer
1999 Magnetic Resonance in Medicine  
An automated retrospective image registration based on mutual information is adapted to a multislice functional magnetic resonance imaging (fMRI) acquisition protocol to provide accurate motion correction  ...  Motion correction is performed by mapping each slice to an anatomic volume data set acquired in the same fMRI session to accommodate inter-slice head motion.  ...  Dispersion in the 2D gray value scatter plot, p(x,y), and thus joint entropy, of geometrically mapped pixel gray value pairs from a set of images is associated with (mis)registration.  ... 
doi:10.1002/(sici)1522-2594(199905)41:5<964::aid-mrm16>3.0.co;2-d pmid:10332880 fatcat:kgjurixmjfeibdzk4j7hsad5ja

Brain entropy and human intelligence: A resting-state fMRI study

Glenn N. Saxe, Daniel Calderone, Leah J. Morales, Emmanuel Andreas Stamatakis
2018 PLoS ONE  
Intelligence is measured with the Shipley Vocabulary and WASI Matrix Reasoning tests. Brain entropy was positively associated with intelligence.  ...  We hypothesize that intelligence will be positively associated with entropy in a sample of 892 healthy adults, using resting-state fMRI.  ...  and Jordan Smoller), with support from the Center for Brain Science Neuroinformatics Research Group, the Athinoula A.  ... 
doi:10.1371/journal.pone.0191582 pmid:29432427 pmcid:PMC5809019 fatcat:tlnydq3ewrf5vkahwsmtbk3nxe

Multiscale Entropy of Resting-State Functional Magnetic Resonance Imaging Differentiates Progressive Supranuclear Palsy and Multiple System Atrophy

Katsuhiko Kadota, Keiichi Onoda, Satoshi Abe, Chizuko Hamada, Shingo Mitaki, Hiroaki Oguro, Atsushi Nagai, Hajime Kitagaki, Shuhei Yamaguchi
2021 Life  
Thus, an MSE analysis of rs-fMRI could differentiate between PSP and MSA, and the reduced complexity of BOLD signals could be associated with cognitive impairment.  ...  Resting-state functional magnetic resonance imaging (rs-fMRI) is used to study the fluctuations in blood oxygen level-dependent (BOLD) signals at rest, which provides evidence for aberrant brain functional  ...  Acknowledgments: We would like to thank the radiological technicians in the Shimane University Hospital for their support in the acquisition of the fMRI data.  ... 
doi:10.3390/life11121411 pmid:34947943 pmcid:PMC8707613 fatcat:otjmu46kjrgtbfypnociobyaxy

Surprised at All the Entropy: Hippocampal, Caudate and Midbrain Contributions to Learning from Prediction Errors

Anne-Marike Schiffer, Christiane Ahlheim, Moritz F. Wurm, Ricarda I. Schubotz, Stefan J. Kiebel
2012 PLoS ONE  
The hippocampal responses seemed to relate to the associative mismatch between a stored representation and current sensory input.  ...  Influential concepts in neuroscientific research cast the brain a predictive machine that revises its predictions when they are violated by sensory input.  ...  FMRI Data Analysis Functional data were offline motion-corrected using the Siemens motion protocol PACE (Siemens, Erlangen, Germany).  ... 
doi:10.1371/journal.pone.0036445 pmid:22570715 pmcid:PMC3343024 fatcat:ipywdtdprzhrhpyrsfu2bpm3re
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