INT212102

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Context Info
Confidence 0.58
First Reported 2007
Last Reported 2010
Negated 1
Speculated 0
Reported most in Body
Documents 16
Total Number 16
Disease Relevance 0.20
Pain Relevance 1.39

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

cytoskeletal protein binding (PTPN4) plasma membrane (PTPN4) cytoskeleton (PTPN4)
cytoplasm (PTPN4)
Anatomy Link Frequency
brain 1
fingers 1
limbs 1
PTPN4 (Homo sapiens)
Pain Link Frequency Relevance Heat
magnetoencephalography 70 100.00 Very High Very High Very High
primary somatosensory cortex 11 99.14 Very High Very High Very High
anesthesia 83 98.60 Very High Very High Very High
Electroencephalography 12 97.16 Very High Very High Very High
amygdala 142 89.52 High High
Pyramidal cell 1 80.24 Quite High
dysesthesia 1 48.08 Quite Low
addiction 34 46.88 Quite Low
imagery 53 40.20 Quite Low
Somatosensory cortex 9 32.40 Quite Low
Disease Link Frequency Relevance Heat
Cognitive Disorder 79 76.76 Quite High
Schizophrenia 6 71.20 Quite High
Epilepsy 19 51.40 Quite High
Dysesthesia 1 48.08 Quite Low
Convulsion 6 47.48 Quite Low
Dysphagia 26 41.64 Quite Low
Sleep Disorders 9 5.00 Very Low Very Low Very Low
Drug Dependence 9 5.00 Very Low Very Low Very Low
Stroke 8 5.00 Very Low Very Low Very Low
Handedness 6 5.00 Very Low Very Low Very Low

Sentences Mentioned In

Key: Protein Mutation Event Anatomy Negation Speculation Pain term Disease term
Why are MEG and EEG sources different?
Gene_expression (sources) of MEG
1) Confidence 0.58 Published 2010 Journal PLoS ONE Section Body Doc Link PMC2898804 Disease Relevance 0 Pain Relevance 0
Contrasting characteristics of MEG and EEG in source space
Gene_expression (characteristics) of MEG
2) Confidence 0.58 Published 2010 Journal PLoS ONE Section Body Doc Link PMC2898804 Disease Relevance 0 Pain Relevance 0
A second argument suggesting that our inverse estimates may be in error in ascribing different cortical generators to the EEG versus MEG is that we could successfully estimate cortical source distributions that seemed to account for both the MEG and EEG data (Figures 4 and 6).
Gene_expression (account) of MEG
3) Confidence 0.58 Published 2010 Journal PLoS ONE Section Body Doc Link PMC2898804 Disease Relevance 0 Pain Relevance 0
The overall average source distribution is dissimilar for MEG and EEG
Gene_expression (dissimilar) of MEG
4) Confidence 0.58 Published 2010 Journal PLoS ONE Section Body Doc Link PMC2898804 Disease Relevance 0 Pain Relevance 0
EEG sources appear more synchronous that MEG sources
Gene_expression (sources) of MEG
5) Confidence 0.58 Published 2010 Journal PLoS ONE Section Body Doc Link PMC2898804 Disease Relevance 0 Pain Relevance 0
However, several studies have previously estimated sources to EEG or MEG spindles individually.
Gene_expression (spindles) of MEG
6) Confidence 0.58 Published 2010 Journal PLoS ONE Section Body Doc Link PMC2898804 Disease Relevance 0 Pain Relevance 0
However, MEG does not produce an anatomical image of the brain and so for source localization an anatomical MR scan for each individual is required for co-registration with the MEG data.
Neg (not) Gene_expression (produce) of MEG in brain associated with magnetoencephalography
7) Confidence 0.53 Published 2010 Journal PLoS ONE Section Body Doc Link PMC2974635 Disease Relevance 0 Pain Relevance 0.30
The second is that our inverse estimates are incorrect, mis-estimating either the EEG or MEG sources, or both, resulting in the incorrect conclusion that their sources are asynchronous and distinct.
Gene_expression (sources) of MEG
8) Confidence 0.52 Published 2010 Journal PLoS ONE Section Body Doc Link PMC2898804 Disease Relevance 0 Pain Relevance 0
The current study demonstrates that these contrasting characteristics are clearly seen in the cortical sources of MEG and EEG spindles, as estimated with dSPM.


Gene_expression (sources) of MEG
9) Confidence 0.52 Published 2010 Journal PLoS ONE Section Body Doc Link PMC2898804 Disease Relevance 0 Pain Relevance 0
The fact that EEG and MEG are thus generated by different limbs of the same circuit would lead one to assume that their sources should generally be estimated to the same locations.
Gene_expression (generated) of MEG in limbs
10) Confidence 0.52 Published 2010 Journal PLoS ONE Section Body Doc Link PMC2898804 Disease Relevance 0 Pain Relevance 0
Parametric increases in theta power with memory load have been detected in MEG (Jensen and Tesche 2002) and EEG (Onton et al. 2005), whereas another EEG study reported an increase in the alpha range (Jensen et al. 2002).
Gene_expression (detected) of MEG
11) Confidence 0.51 Published 2008 Journal Cerebral Cortex (New York, NY) Section Body Doc Link PMC2474453 Disease Relevance 0.08 Pain Relevance 0
But in contrast to fMRI, SAM can benefit from the millisecond resolution of MEG.
Gene_expression (resolution) of MEG associated with magnetoencephalography
12) Confidence 0.37 Published 2007 Journal BMC Neurosci Section Body Doc Link PMC1950520 Disease Relevance 0 Pain Relevance 0.25
The MEG recording was done with and without topical anesthesia in all 10 subjects investigated.
Gene_expression (recording) of MEG associated with magnetoencephalography and anesthesia
13) Confidence 0.37 Published 2007 Journal BMC Neurosci Section Body Doc Link PMC1950520 Disease Relevance 0 Pain Relevance 0.54
In SI a basic somatotopic arrangement was found using MEG (Baumgartner et al., 1991; Hari et al., 1993; Nakamura et al., 1998), EEG (Buchner et al., 1995) and fMRI studies differing in type of stimulation, number of fingers stimulated and spatial resolution (Sakai et al., 1995; Wolf et al., 1996; Gelnar et al., 1998; Kurth et al., 1998; Stippich et al., 1999; Francis et al., 2000; Nelson and Chen, 2008; Schweizer et al., 2008; Weibull et al., 2008).
Gene_expression (using) of MEG in fingers associated with magnetoencephalography, primary somatosensory cortex and electroencephalography
14) Confidence 0.14 Published 2010 Journal Frontiers in Neuroenergetics Section Body Doc Link PMC2899520 Disease Relevance 0.05 Pain Relevance 0.22
EEG and MEG were considered poor for localization in general and specifically for deep structures such as the amygdale.
Gene_expression (EEG) of MEG
15) Confidence 0.11 Published 2010 Journal PLoS ONE Section Body Doc Link PMC2842434 Disease Relevance 0.07 Pain Relevance 0.08
The required temporal resolution in human studies is only available using EEG and MEG.
Gene_expression (using) of MEG
16) Confidence 0.11 Published 2010 Journal PLoS ONE Section Body Doc Link PMC2842434 Disease Relevance 0 Pain Relevance 0

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