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Decoding Brain States Based on Magnetoencephalography From Prespecified Cortical Regions

Jinyin Zhang, Xin Li, Stephen T. Foldes, Wei Wang, Jennifer L. Collinger, Douglas J. Weber, Anto Bagic
2016 IEEE Transactions on Biomedical Engineering  
Recent MEG applications pose an emerging need of decoding brain states based on MEG signals originating from prespecified cortical regions.  ...  Our experimental results based on human subjects demonstrate that RDA can efficiently extract the discriminant pattern from prespecified cortical regions to accurately distinguish different brain states  ...  RDA aims to extract the optimal discriminant pattern to distinguish different brain states based on the MEG signals originating from prespecified cortical regions.  ... 
doi:10.1109/tbme.2015.2439216 pmid:26699648 fatcat:ksjfgxb5z5fijcijpytsrayxbi

Building on a Solid Baseline: Anticipatory Biases in Attention

Anna C. Nobre, John T. Serences
2018 Trends in Neurosciences  
Acknowledgments The Wellcome Centre for Integrative Neuroimaging is supported by core funding from the Wellcome Trust  ...  Recent studies using blood oxygenation level-dependent signals have shown that it is possible to decode information during working memory from the activity in early sensory cortices [14, 15] .  ...  various aspects of parietal-and prefrontal-cortical functions, as well as more generally, in studies on spatial memory, cortical circuitry, and more.  ... 
doi:10.1016/j.tins.2018.01.005 pmid:29499772 pmcid:PMC6041469 fatcat:rnsabwxar5d7bjk3flcdtqkmle

Functional neuroanatomy of speech signal decoding in primary progressive aphasias

Chris J.D. Hardy, Jennifer L. Agustus, Charles R. Marshall, Camilla N. Clark, Lucy L. Russell, Emilie V. Brotherhood, Rebecca L. Bond, Cassidy M. Fiford, Sasha Ondobaka, David L. Thomas, Sebastian J. Crutch, Jonathan D. Rohrer (+1 others)
2017 Neurobiology of Aging  
The Dementia Research Centre is supported by Alzheimer's Research UK, Brain Research Trust, and The Wolfson Foundation. This work was supported by the Alzheimer's Society  ...  of p < 0.05 FWE within 2 prespecified neuroanatomical regions of interest in each cerebral hemisphere, in line with neuroanatomical evidence from previous studies.  ...  One initial brain volume was acquired to allow equilibration of longitudinal T1 magnetization and discarded from further analysis.  ... 
doi:10.1016/j.neurobiolaging.2017.04.026 pmid:28571652 pmcid:PMC5476347 fatcat:jp73t4c2lzaklfazhfrhqle7iu

A Window into the Brain: Advances in Psychiatric fMRI

Xiaoyan Zhan, Rongjun Yu
2015 BioMed Research International  
Drawing on concepts and findings from psychiatric fMRI, we propose that mental illness may not be associated with abnormalities in specific local regions but rather corresponds to variation in the overall  ...  Future research may need to integrate neuroimaging information drawn from different analysis methods and delineate spatial and temporal patterns of brain responses that are specific to certain types of  ...  and decode the perceptual or cognitive states of an individual.  ... 
doi:10.1155/2015/542467 pmid:26413531 pmcid:PMC4564608 fatcat:3hat4unyozdzhgx366jgj2fq2y

Model-based feature construction for multivariate decoding

Kay H. Brodersen, Florent Haiss, Cheng Soon Ong, Fabienne Jung, Marc Tittgemeyer, Joachim M. Buhmann, Bruno Weber, Klaas E. Stephan
2011 NeuroImage  
Conventional decoding methods in neuroscience aim to predict discrete brain states from multivariate correlates of neural activity. This approach faces two important challenges.  ...  In this paper, we propose a model-based decoding approach that addresses both challenges from a new angle.  ...  Since the data were recorded from a single cortical region, the model comprised just one region.  ... 
doi:10.1016/j.neuroimage.2010.04.036 pmid:20406688 pmcid:PMC3112410 fatcat:y4a7xqnv4ngkhe3cxexbzu6uhe

Advances in neuroimaging to support translational medicine in dementia

Thomas Edmund Cope, Rimona Sharon Weil, Emrah Düzel, Bradford C Dickerson, James Benedict Rowe
2021 Journal of Neurology, Neurosurgery and Psychiatry  
Developments in MRI-based imaging and neurophysiology provide complementary quantitative assays of brain function and connectivity, for the direct testing of hypotheses of human pathophysiology.  ...  We look beyond traditional structural imaging used routinely in clinical care, to include ultrahigh field MRI (7T MRI), magnetoencephalography and PET with novel ligands.  ...  The strength of resting-state connectivity between two brain regions typically falls as they are affected by neurodegeneration. 41 However, when those regions are engaged by a task, their connectivity  ... 
doi:10.1136/jnnp-2019-322402 pmid:33568448 pmcid:PMC8862738 fatcat:kfzojf7vpncq7pgln7xiaue324

A Deep Brain Stimulation Trial Period for Treating Chronic Pain

Prasad Shirvalkar, Kristin K. Sellers, Ashlyn Schmitgen, Jordan Prosky, Isabella Joseph, Philip A. Starr, Edward F. Chang
2020 Journal of Clinical Medicine  
In this review, we consider the possible approaches, benefits, and risks of such inpatient trial periods with a specific focus on developing new DBS therapies for chronic pain.  ...  the patient's brain are connected to external stimulation equipment, so that stimulation efficacy could be determined before permanent implant.  ...  Specifically, for chronic pain, which engages multiple well-established nodes across a widespread pain network, an sEEG trial can be used to target multiple brain regions based on converging evidence from  ... 
doi:10.3390/jcm9103155 pmid:33003443 fatcat:uo4l4bcq6zhgrdrlixmiksypo4

Characterizing hippocampal dynamics with MEG: A systematic review and evidence‐based guidelines

Emily Ruzich, Maité Crespo‐García, Sarang S. Dalal, Justin F. Schneiderman
2018 Human Brain Mapping  
other brain regions.  ...  Magnetoencephalography (MEG) is an attractive technique for imaging spectro-temporal aspects of function, for example, neural oscillations and network timing, especially in shallow cortical structures.  ...  FIGURE 3 3 FIGURE 3 Selection process for review: Studies were screened to determine that basic requirements were met and then selected based on an independent quality assessment that used prespecified  ... 
doi:10.1002/hbm.24445 pmid:30378210 pmcid:PMC6456020 fatcat:7wtmrt7jqbedxkq4ln7uikful4

Neuroimaging-based biomarkers for pain

Maite M. van der Miesen, Martin A. Lindquist, Tor D. Wager
2019 PAIN Reports  
In this review, we explicate the need for brain-based biomarkers for pain, some of their potential uses, and some of the most popular machine learning approaches that have been brought to bear.  ...  Then, we evaluate the current state of pain biomarkers developed with several commonly used methods, including structural magnetic resonance imaging, functional magnetic resonance imaging and electroencephalography  ...  Acknowledgements The authors thank Glenn van der Lande and Guido van Wingen for valuable discussions and comments on earlier drafts.  ... 
doi:10.1097/pr9.0000000000000751 pmid:31579847 pmcid:PMC6727991 fatcat:dj4o5h2vtvcyvjchkjhgbhkzsq

Near-Real-Time Feature-Selective Modulations in Human Cortex

Javier O. Garcia, Ramesh Srinivasan, John T. Serences
2013 Current Biology  
Decoding analyses use pattern recognition techniques to estimate which specific stimulus-selected from a larger set of possible stimuli-was most likely to have been viewed based on an observed pattern  ...  To the extent that these algorithms can correctly guess the stimulus label, one can infer that some stimulusspecific information is being encoded in the cortical region of interest [11] [12] [13] 18 ].  ...  We thank Candace Linscheid and Danna Lee for assistance in data collection, Edward Awh for input on early versions of this research project, and Kimberly Kaye for useful discussions.  ... 
doi:10.1016/j.cub.2013.02.013 pmid:23477721 pmcid:PMC3608396 fatcat:vqc6hjaz5vda5h25u45mozbrui

The functional neuroanatomy of emotion processing in frontotemporal dementias

2019 Brain  
Progress in this field may depend on detecting functional changes in the working brain, and disentangling components of emotion processing that include sensory decoding, emotion categorization and emotional  ...  regions of interest.  ...  these regions to the skull base.  ... 
doi:10.1093/brain/awz204 pmid:31321407 pmcid:PMC7959336 fatcat:drgl2mztgfennjrbw5jsjqnyfm

Neural Networks and Neurofeedback in Parkinson's Disease

Sanad Esmail, David Linden
2014 NeuroRegulation  
This noninvasive technique entails providing a continuous update of one's neural activity so that volitional control of selected brain regions, networks, or rhythms can be learned.  ...  Evidence suggests that network activity can be normalized with both dopaminergic drug treatment and deep brain stimulation (DBS), and protocols that directly target specific oscillatory patterns (-closed-loop  ...  MVPA centers on training pattern classifier algorithms to decode the mental representation of a behavioral, cognitive, or emotional state based on discriminating between the underlying neural activation  ... 
doi:10.15540/nr.1.3-4.240 fatcat:5aluiq3arjf3hp2ferbsftjqou

NEUROBIOLOGICAL UNDERPINNINGS OF LANGUAGE IN AUTISM SPECTRUM DISORDERS

Inge-Marie Eigsti, Jillian M. Schuh
2008 Annual Review of Applied Linguistics  
We review findings from current work and suggest that neurobiological data are critical in our ability to understand the mechanisms underlying behavioral differences in communicative skills.  ...  As a neurodevelopmental disorder, autism is characterized by impairments and differences at the levels of both brain and behavior.  ...  Magnetoencephalography (MEG) Magnetoencephalography (MEG) is a method for quantifying the time course of neural activity based on the magnetic field elicited from activation in neural structures, much  ... 
doi:10.1017/s0267190508080021 fatcat:ujq2ce3mzbfnzjotc5efq7424a

Unmixing Oscillatory Brain Activity by EEG Source Localization and Empirical Mode Decomposition

Sofie Therese Hansen, Apit Hemakom, Mads Gylling Safeldt, Lærke Karen Krohne, Kristoffer Hougaard Madsen, Hartwig R. Siebner, Danilo P. Mandic, Lars Kai Hansen
2019 Computational Intelligence and Neuroscience  
In this study, we elaborate on the investigations into source-based signal decomposition of EEG.  ...  Using source localization, the electrical brain signal is spatially unmixed and the neuronal dynamics from a region of interest are analyzed using empirical mode decomposition (EMD), a technique aimed  ...  In this work, we extend on the study of source-based signal decomposition by investigating the potential benefits obtained from performing frequency analysis on the cortical sources.  ... 
doi:10.1155/2019/5618303 fatcat:h3yetuemzfca5a4frwekxqtwxm

A Hitchhiker's Guide to Functional Magnetic Resonance Imaging

José M. Soares, Ricardo Magalhães, Pedro S. Moreira, Alexandre Sousa, Edward Ganz, Adriana Sampaio, Victor Alves, Paulo Marques, Nuno Sousa
2016 Frontiers in Neuroscience  
Functional Magnetic Resonance Imaging (fMRI) studies have become increasingly popular both with clinicians and researchers as they are capable of providing unique insights into brain functions.  ...  In practice, the researcher/clinician must choose, from many available options, the most suitable software tool for each stage of the fMRI analysis pipeline.  ...  Strategically, functional neuroimaging appears to be moving from the description and characterization of brain states toward predictive models of function based on the whole brain network.  ... 
doi:10.3389/fnins.2016.00515 pmid:27891073 pmcid:PMC5102908 fatcat:buiu2rijybf2rizrz3tkmwbtgq
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