Abstract：
:Computer-based sleep scoring systems are often calibrated by reference to a conventional visual analysis of electroencephalographic (EEG) and electromyographic (EMG) traces. However, these types of data place high demands on digital storage capacity which may limit the duration or feasibility of some studies. The present paper describes an approach to visual analysis that involves reconstruction of a waveform (termed a "pseudopolygram" (PPG)) from conditioned data derived from the EEG and EMG. The PPG is the sum of three sine waves, each of which has a distinct frequency (non-REM sleep (NREM), 3 Hz; rapid eye movement sleep (REM), 7 Hz and wakefulness (WAKE), 60 Hz) and amplitude proportional to the value of a state-specific scoring variable. Thus, in NREM sleep the wave depicting the NREM quantifier has high amplitude and produces a PPG with dominant 3 Hz frequency. In REM sleep, the wave depicting the REM quantifier has high amplitude and produces a PPG with a dominant 7 Hz frequency, and in WAKE the PPG is dominated by 60 Hz. Thus, the PPG provides a means for visual discrimination of the three behavioural states. Validation studies found an overall reliability of 94% compared with conventional visual analysis of EEG and EMG. The PPG was also found to remain accurate in rats after 24 h of sleep deprivation.
journal_name
J Neurosci Methodsjournal_title
Journal of neuroscience methodsauthors
Mileva-Seitz VR,Louis RP,Stephenson Rdoi
10.1016/j.jneumeth.2005.04.004subject
Has Abstractpub_date
2005-10-15 00:00:00pages
43-8issue
1eissn
0165-0270issn
1872-678Xpii
S0165-0270(05)00111-1journal_volume
148pub_type
杂志文章abstract：:The most common behavioural disorder seen in children and adolescents born extremely prematurely is attention deficit hyperactivity disorder (ADHD). The hyperactive/impulsive sub-type of ADHD or the inattentive sub-type or the hyperactive/impulsive/inattentive sub-type can be evident. These sub-types of ADHD can persi...
journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2007.01.010
更新日期：2007-11-30 00:00:00
abstract：:Imaging technologies, such as intrinsic optical imaging (IOI), functional magnetic resonance imaging (fMRI) or multiphoton microscopy provide excellent opportunities to study the relationship between functional signals recorded from a cortical area and the underlying anatomical structure. This, in turn, requires accur...
journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2011.07.029
更新日期：2011-09-30 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章,评审
doi：10.1016/0165-0270(83)90058-4
更新日期：1983-12-01 00:00:00
abstract：BACKGROUND:Motion-onset visual evoked potentials (mVEP) can provide a softer stimulus with reduced fatigue, and it has potential applications for brain computer interface(BCI)systems. However, the mVEP waveform is seriously masked in the strong background EEG activities, and an effective approach is needed to extract t...
journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2016.11.002
更新日期：2017-01-01 00:00:00
abstract：INTRODUCTION:Transcranial magnetic stimulation (TMS) is used for assessing the excitability of cortical neurons and corticospinal pathways by determining the subject-specific motor threshold (MT). However, the MT is dependent on the TMS instrumentation and exhibits large variation. We hypothesized that between-subject ...
journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2011.10.004
更新日期：2012-01-30 00:00:00
abstract：BACKGROUND:With advances in cell capture, gene expression can now be studied in neuronal subtypes and single cells; however, studying epigenetic mechanisms that underlie these changes presents challenges. Moreover, chromatin immunoprecipitation (ChIP) protocols optimized for low cell number do not adequately address te...
journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2016.02.006
更新日期：2016-04-01 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/s0165-0270(00)00277-6
更新日期：2000-10-15 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章,评审
doi：10.1016/j.jneumeth.2020.108910
更新日期：2021-01-01 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2009.02.017
更新日期：2009-05-30 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2010.10.021
更新日期：2011-01-30 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章,评审
doi：10.1016/j.jneumeth.2020.108801
更新日期：2020-08-01 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/0165-0270(88)90162-8
更新日期：1988-12-01 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2017.06.013
更新日期：2017-08-15 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/s0165-0270(99)00103-x
更新日期：1999-10-15 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2011.10.017
更新日期：2012-02-15 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2020.108599
更新日期：2020-01-21 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2010.07.012
更新日期：2010-09-30 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/0165-0270(91)90022-r
更新日期：1991-03-01 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/0165-0270(84)90021-9
更新日期：1984-04-01 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2008.05.022
更新日期：2008-08-15 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2008.07.015
更新日期：2008-09-30 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
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更新日期：1993-04-01 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2006.04.025
更新日期：2006-11-15 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2012.10.020
更新日期：2013-01-30 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2020.108829
更新日期：2020-10-01 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/0165-0270(95)00049-6
更新日期：1995-11-01 00:00:00
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journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2015.11.028
更新日期：2016-03-01 00:00:00
abstract：BACKGROUND:We present our results in the International challenge for automated prediction of MCI from MRI data. We evaluate the performance of MRI-based neuromorphometrics features (nMF) in the classification of Healthy Controls (HC), Mild Cognitive Impairment (MCI), converters MCI (cMCI) and Alzheimer's Disease (AD) p...
journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2017.11.013
更新日期：2018-05-15 00:00:00
abstract：BACKGROUND:Although they form a unitary phenomenon, the relationship between extracranial M/EEG and transmembrane ion flows is understood only as a general principle rather than as a well-articulated and quantified causal chain. METHOD:We present an integrated multiscale model, consisting of a neural simulation of tha...
journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2018.10.002
更新日期：2019-03-15 00:00:00
abstract：BACKGROUND:Zebrafish larvae have a high potential as model system to replace rodents, especially in screening and drug discovery applications. However, an experimental setup to deliver mild electrical stimuli with simultaneous high throughput behavioural tracking has not yet been described. NEW METHOD:A new tool was d...
journal_title：Journal of neuroscience methods
pub_type： 杂志文章
doi：10.1016/j.jneumeth.2018.03.002
更新日期：2018-05-01 00:00:00
