Filters








1,069 Hits in 8.4 sec

Estimating brain age from structural MRI and MEG data: Insights from dimensionality reduction techniques [article]

Alba Xifra-Porxas, Arna Ghosh, Georgios D. Mitsis, Marie-Hélène Boudrias
2019 biorxiv/medrxiv   pre-print
We found that MRI features from subcortical structures were more reliable age predictors than cortical features, and that spectral MEG measures were more reliable than connectivity metrics.  ...  To this end, we examined the performance of dimensionality reduction and multivariate associative techniques, namely Principal Component Analysis (PCA) and Canonical Correlation Analysis (CCA), to tackle  ...  Dimensionality reduction techniques We used T1-weighted MR images and resting-state MEG data to develop a brain-age prediction framework that uses both structural and functional information of the brain  ... 
doi:10.1101/859660 fatcat:lzwruuchfrfmreuppnwp62ebnu

The Human Connectome Project: A data acquisition perspective

D.C. Van Essen, K. Ugurbil, E. Auerbach, D. Barch, T.E.J. Behrens, R. Bucholz, A. Chang, L. Chen, M. Corbetta, S.W. Curtiss, S. Della Penna, D. Feinberg (+15 others)
2012 NeuroImage  
and electroencephalography (MEG/EEG).  ...  The imaging modalities will include diffusion imaging (dMRI), resting-state fMRI (R-fMRI), task-evoked fMRI (T-fMRI), T1-and T2-weighted MRI for structural and myelin mapping, plus combined magnetoencephalography  ...  Funded in part by the Human Connectome Project (1U54MH091657) from the 16 NIH Institutes and Centers that Support the NIH Blueprint for Neuroscience Research, and by the McDonnell Center for Systems Neuroscience  ... 
doi:10.1016/j.neuroimage.2012.02.018 pmid:22366334 pmcid:PMC3606888 fatcat:firqe2mmjjdj7dhjbrbwytpbsa

Mapping human brain activity in vivo

J C Mazziotta
1994 Western Journal of Medicine  
A wide range of structural and functional techniques now exists to map the human brain in health and disease.  ...  Our newfound ability to generate maps and databases of human brain development, maturation, skill acquisition, aging, and disease states is both an exciting and formidable task.  ...  A wide range of structural and functional techniques now exists to map the human brain in health and disease.  ... 
pmid:7975566 pmcid:PMC1011409 fatcat:d6xi3aptsrcmlgk6dzpwqwydey

Magnetoencephalography as a Tool in Psychiatric Research: Current Status and Perspective

Peter J. Uhlhaas, Peter Liddle, David E.J. Linden, Anna C. Nobre, Krish D. Singh, Joachim Gross
2017 Biological Psychiatry: Cognitive Neuroscience and Neuroimaging  
We summarize the mechanisms underlying the generation of MEG signals and the tools available to reconstruct generators and underlying networks using advanced source-reconstruction techniques.  ...  We propose that recent technological and analytic advances in magnetoencephalography (MEG), a technique that allows measurement of neuronal events directly and noninvasively with millisecond resolution  ...  of data analysis, limited resolution for deeper brain structures, and high maintenance costs.  ... 
doi:10.1016/j.bpsc.2017.01.005 pmid:28424797 pmcid:PMC5387180 fatcat:5qachfklvbbuppsiwxrhbeouuy

Evaluation of data-driven MEG analysis approaches for the extraction of fMRI resting state networks [article]

Esther Pelzer, Abhinav Sharma, Esther Florin
2021 bioRxiv   pre-print
In this paper, we compare the two main existing data-driven analysis strategies for extracting resting state networks from MEG data.  ...  To evaluate the performance of these approaches, we compare the MEG-RSN to the functional magnetic resonance imaging (fMRI)-RSN from the same subjects.  ...  Insights on the correspondence to fMRI resting state networks from such data-driven approaches will be generalizable for future MEG studies and therefore might provide important insights on the electrophysiological  ... 
doi:10.1101/2021.04.29.441916 fatcat:ekxz6uitzzewxkgizusdtzdq2u

Single or multiple frequency generators in on-going brain activity: A mechanistic whole-brain model of empirical MEG data

Gustavo Deco, Joana Cabral, Mark W. Woolrich, Angus B.A. Stevner, Tim J. van Hartevelt, Morten L. Kringelbach
2017 NeuroImage  
However, when multiple frequency generators are placed at each local brain area, we obtain an improved fit of the spatio-temporal structure of on-going MEG data across all frequency bands.  ...  Considering the whole-brain model with a single frequency generator in each brain area, we obtain the best fit with the empirical MEG data when the fundamental frequency is tuned at 12 Hz.  ...  For each individual subject, a structural T1 MRI scan was collected for the purpose of co-registration of the MEG data and the AAL parcellation template.  ... 
doi:10.1016/j.neuroimage.2017.03.023 pmid:28315461 pmcid:PMC5440176 fatcat:dq6ykiipkbey3htm4hkjoe7kam

Combining electrophysiology with MRI enhances learning of surrogate-biomarkers

Denis Alexander Engemann, Oleh Kozynets, David Sabbagh, Guillaume Lemaitre, Gaël Varoquaux, Franziskus Liem, Alexandre Gramfort
2019 biorxiv/medrxiv  
Here, we propose a multimodal model to robustly combine MEG, MRI and fMRI for prediction. We focus on age prediction as surrogate biomarker in 674 subjects from the Cam-CAN.  ...  Strikingly, MEG, fMRI and MRI showed additive effects supporting distinct brain-behavior associations.  ...  Acknowledgments This work was partly supported by a 2018 'médecine numérique' (for digital medicine) thesis grant issued by Inserm (French national institute of health and medical research) and Inria (  ... 
doi:10.1101/856336 fatcat:vjisc5h2yrbrjprqfgf23jwjgy

The Developing Brain [chapter]

Lorcan A. O'Tuama, Paul R. Jolles
2006 Pediatric PET Imaging  
Brain Imaging Studies Anatomic Studies of Normal Brain Development It is essential to discuss the basic structural framework before going on to the more functional insights of MRI.  ...  We will also cover advances in allied techniques, including magnetic resonance imaging (MRI)-based and electrophysiologic methods.  ...  Other important anticipated improvements in technology will relate to reduction of movement artifacts, imaging data reduction, and postimaging data processing.  ... 
doi:10.1007/0-387-34641-4_18 fatcat:iqjjckxo3bagpebblifvugrf3u

Single or Multi-Frequency Generators in On-going Brain Activity: a Mechanistic Whole-Brain Model of empirical MEG data [article]

Gustavo Deco, Joana Cabral, Mark Woolrich, Angus Stevner, Tim van Hartevelt, Morten Kringelbach
2016 bioRxiv   pre-print
However, when multiple frequency generators are placed at each local brain area, we obtain an improved fit of the spatio-temporal structure of on-going MEG data across all frequency bands.  ...  Considering the whole-brain model with a single frequency generator in each brain area, we obtain the best fit with the empirical MEG data when the fundamental frequency is tuned at 12Hz.  ...  For each individual subject, a structural T1 MRI scan was collected for the purpose of coregistration of the MEG data and the AAL parcellation template.  ... 
doi:10.1101/084103 fatcat:tvvw5fpzbjecbcgvrewxff3bwi

Deep Learning in Mining Biological Data

Mufti Mahmud, M. Shamim Kaiser, T. Martin McGinnity, Amir Hussain
2021 Cognitive Computation  
Mining such enormous amount of data for pattern recognition is a big challenge and requires sophisticated data-intensive machine learning techniques.  ...  Also, comparative investigations of these tools from qualitative, quantitative, and benchmarking perspectives are provided.  ...  The Neuroimaging Informatics Tools and Resources Clearing house (NITRC) [187] provides range of imaging data from MRI to PET, SPECT, CT, MEG/EEG, and optical imaging for analysing functional and structural  ... 
doi:10.1007/s12559-020-09773-x pmid:33425045 pmcid:PMC7783296 fatcat:n4nk7gakfbb4fbhdi5pqeojwjm

Population neuroimaging: generation of a comprehensive data resource within the ALSPAC pregnancy and birth cohort

Tamsin H. Sharp, Nancy S. McBride, Amy E. Howell, C. John Evans, Derek K. Jones, Gavin Perry, Stavros I. Dimitriadis, Thomas M. Lancaster, Luisa Zuccolo, Caroline Relton, Sarah M. Matthews, Thomas Breeze (+5 others)
2020 Wellcome Open Research  
Brain imaging data were acquired when offspring were between 18 and 24 years of age, and included acquisition of structural, functional and magnetization transfer magnetic resonance, diffusion tensor,  ...  Neuroimaging offers a valuable insight into human brain development by allowing in vivo assessment of structure, connectivity and function.  ...  The data acquired from this study have demonstrated that, in this population-based sample, PE are associated with regionspecific reductions in gyrification of the left temporal gyrus and volume of the  ... 
doi:10.12688/wellcomeopenres.16060.1 pmid:33043145 pmcid:PMC7531050 fatcat:fvdcpw4k45annmkksmx7uxkrwu

Complex biomarker discovery in neuroimaging data: Finding a needle in a haystack

Gowtham Atluri, Kanchana Padmanabhan, Gang Fang, Michael Steinbach, Jeffrey R. Petrella, Kelvin Lim, Angus MacDonald, Nagiza F. Samatova, P. Murali Doraiswamy, Vipin Kumar
2013 NeuroImage: Clinical  
In this manuscript we consider the nature of complex biomarkers being investigated in the recent literature and present techniques to find such biomarkers that have been developed in related areas of data  ...  datasets are limited by their inability to capture the heterogeneity and complexity of most multifactorial brain disorders.  ...  Rubinov and Sporns (2010) provides a definition for all these properties and discusses their usefulness in interpreting brain networks. et al. (2011) Aging MRI M Bassett et al. (2008) Schizophrenia MRI  ... 
doi:10.1016/j.nicl.2013.07.004 pmid:24179856 pmcid:PMC3791294 fatcat:xi3y2dp4zvfwljq37osqz55y54

Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers

Denis Alexander Engemann, Oleh Kozynets, David Sabbagh, Guillaume Lemaître, Gaël Varoquaux, Franziskus Liem, Alexandre Gramfort
2020 eLife  
Here, we propose a multimodal model to robustly combine MEG, MRI and fMRI for prediction. We focus on age prediction as a surrogate biomarker in 674 subjects from the Cam-CAN dataset.  ...  Strikingly, MEG, fMRI and MRI showed additive effects supporting distinct brain-behavior associations.  ...  , fMRI, MEG MRI, fMRI MRI, MEG fMRI MRI MEG Chance 2 4 6 chological scores from brain ageΔ VSTM K mean VSTM K prcs VSTM MSE psqi RTch RTsm Syns prop errr Syns RT TOT VSTM  ... 
doi:10.7554/elife.54055 pmid:32423528 pmcid:PMC7308092 fatcat:oeh5rn3ltjfmzclerjmfj2csxi

Advances in Multimodal Data Fusion in Neuroimaging: Overview, Challenges, and Novel Orientation

Yu-Dong Zhang, Zhengchao Dong, Shui-Hua Wang, Xiang Yu, Xujing Yao, Qinghua Zhou, Hua Hu, Min Li, Carmen Jiménez-Mesa, Javier Ramirez, Francisco J. Martinez, Juan Manuel Gorriz
2020 Information Fusion  
Multimodal fusion in neuroimaging combines data from multiple imaging modalities to overcome the fundamental limitations of individual modalities.  ...  In this study, we analyzed over 450 references from PubMed, Google Scholar, IEEE, ScienceDirect, Web of Science, and various sources published from 1978 to 2020.  ...  Early structural MRI study suggested that the volume reduction of superior temporal gyrus (STG) is associated with the pathophysiology of OCD [178] .  ... 
doi:10.1016/j.inffus.2020.07.006 pmid:32834795 pmcid:PMC7366126 fatcat:3cmhcplb5bf2fgpx3kukifbj74

Combining structural and functional neuroimaging data for studying brain connectivity: A review

Elena Rykhlevskaia, Gabriele Gratton, Monica Fabiani
2008 Psychophysiology  
These studies provide insights into the relationships between brain structure and function.  ...  We review studies combining in vivo structural and functional brain connectivity data, where (a) structural connectivity analysis, mostly based on diffusion tensor imaging is paired with voxel-wise analysis  ...  Last, but not least, incorporating structural and functional data in one model may provide insights into the relationships between brain structure and function.  ... 
doi:10.1111/j.1469-8986.2007.00621.x pmid:17995910 fatcat:h3mui3cuonfr5obnxq5ul2imcu
« Previous Showing results 1 — 15 out of 1,069 results