Characterizing the spiking dynamics of subthalamic nucleus neurons in Parkinson's disease using generalized linear models

Accurately describing the spiking patterns of neurons in the subthalamic nucleus of patients suffering from Parkinson’s disease is important for understanding the pathogenesis of the disease and for achieving the maximum therapeutic benefit from deep brain stimulation. We analyze the spiking activit...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Uri eEden [verfasserIn] Ramin eAmirnovin [verfasserIn] John Thomas Gale [verfasserIn] Emad eEskandar [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2012

Schlagwörter:	Deep Brain Stimulation Subthalamic Nucleus Parkinson's disease Spike Train Modeling Generalized Linear Models

Übergeordnetes Werk:	In: Frontiers in Integrative Neuroscience - Frontiers Media S.A., 2008, 6(2012)
Übergeordnetes Werk:	volume:6 ; year:2012

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fnint.2012.00028

Katalog-ID:	DOAJ060087455

Internformat


LEADER	01000caa a22002652 4500
001	DOAJ060087455
003	DE-627
005	20230502072935.0
007	cr uuu---uuuuu
008	230228s2012 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.3389/fnint.2012.00028 \|2 doi
035			\|a (DE-627)DOAJ060087455
035			\|a (DE-599)DOAJe57d3dab34be49769249d3de66508a1f
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
050		0	\|a RC321-571
050		0	\|a RC346-429
100	0		\|a Uri eEden \|e verfasserin \|4 aut
245	1	0	\|a Characterizing the spiking dynamics of subthalamic nucleus neurons in Parkinson's disease using generalized linear models
264		1	\|c 2012
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a Accurately describing the spiking patterns of neurons in the subthalamic nucleus of patients suffering from Parkinson’s disease is important for understanding the pathogenesis of the disease and for achieving the maximum therapeutic benefit from deep brain stimulation. We analyze the spiking activity of 24 subthalamic neurons recorded in Parkinson’s patients during a directed hand movement task by using a point process generalized linear model. The model relates each neuron’s spiking probability simultaneously to factors associated with movement planning and execution, directional selectivity, refractoriness, bursting and oscillatory dynamics. The model indicated that while short-term history dependence related to refractoriness and bursting are most informative in predicting spiking activity, nearly all of the neurons analyzed has a structured pattern of long-term history dependence such that the spiking probability was reduced 20 to 30 ms and then increased 30 to 60 ms after a previous spike. This suggests that the previously described oscillatory firing of neurons in the subthalamic nucleus of Parkinson’s patients during volitional movements is composed of a structured pattern of inhibition and excitation. This point process model provides a systematic framework for characterizing the dynamics of subthalamic neuronal activity.
650		4	\|a Deep Brain Stimulation
650		4	\|a Subthalamic Nucleus
650		4	\|a Parkinson's disease
650		4	\|a Spike Train Modeling
650		4	\|a Generalized Linear Models
653		0	\|a Neurosciences. Biological psychiatry. Neuropsychiatry
653		0	\|a Neurology. Diseases of the nervous system
700	0		\|a Ramin eAmirnovin \|e verfasserin \|4 aut
700	0		\|a John Thomas Gale \|e verfasserin \|4 aut
700	0		\|a Emad eEskandar \|e verfasserin \|4 aut
773	0	8	\|i In \|t Frontiers in Integrative Neuroscience \|d Frontiers Media S.A., 2008 \|g 6(2012) \|w (DE-627)579826406 \|w (DE-600)2452962-X \|x 16625145 \|7 nnns
773	1	8	\|g volume:6 \|g year:2012
856	4	0	\|u https://doi.org/10.3389/fnint.2012.00028 \|z kostenfrei
856	4	0	\|u https://doaj.org/article/e57d3dab34be49769249d3de66508a1f \|z kostenfrei
856	4	0	\|u http://journal.frontiersin.org/Journal/10.3389/fnint.2012.00028/full \|z kostenfrei
856	4	2	\|u https://doaj.org/toc/1662-5145 \|y Journal toc \|z kostenfrei
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_DOAJ
912			\|a SSG-OLC-PHA
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_206
912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 6 \|j 2012

Indexfelder

author_variant	u e ue r e re j t g jtg e e ee
matchkey_str	article:16625145:2012----::hrceiighsiigyaisfutaainceserniprisndsae
hierarchy_sort_str	2012
callnumber-subject-code	RC
publishDate	2012
allfields	10.3389/fnint.2012.00028 doi (DE-627)DOAJ060087455 (DE-599)DOAJe57d3dab34be49769249d3de66508a1f DE-627 ger DE-627 rakwb eng RC321-571 RC346-429 Uri eEden verfasserin aut Characterizing the spiking dynamics of subthalamic nucleus neurons in Parkinson's disease using generalized linear models 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Accurately describing the spiking patterns of neurons in the subthalamic nucleus of patients suffering from Parkinson’s disease is important for understanding the pathogenesis of the disease and for achieving the maximum therapeutic benefit from deep brain stimulation. We analyze the spiking activity of 24 subthalamic neurons recorded in Parkinson’s patients during a directed hand movement task by using a point process generalized linear model. The model relates each neuron’s spiking probability simultaneously to factors associated with movement planning and execution, directional selectivity, refractoriness, bursting and oscillatory dynamics. The model indicated that while short-term history dependence related to refractoriness and bursting are most informative in predicting spiking activity, nearly all of the neurons analyzed has a structured pattern of long-term history dependence such that the spiking probability was reduced 20 to 30 ms and then increased 30 to 60 ms after a previous spike. This suggests that the previously described oscillatory firing of neurons in the subthalamic nucleus of Parkinson’s patients during volitional movements is composed of a structured pattern of inhibition and excitation. This point process model provides a systematic framework for characterizing the dynamics of subthalamic neuronal activity. Deep Brain Stimulation Subthalamic Nucleus Parkinson's disease Spike Train Modeling Generalized Linear Models Neurosciences. Biological psychiatry. Neuropsychiatry Neurology. Diseases of the nervous system Ramin eAmirnovin verfasserin aut John Thomas Gale verfasserin aut Emad eEskandar verfasserin aut In Frontiers in Integrative Neuroscience Frontiers Media S.A., 2008 6(2012) (DE-627)579826406 (DE-600)2452962-X 16625145 nnns volume:6 year:2012 https://doi.org/10.3389/fnint.2012.00028 kostenfrei https://doaj.org/article/e57d3dab34be49769249d3de66508a1f kostenfrei http://journal.frontiersin.org/Journal/10.3389/fnint.2012.00028/full kostenfrei https://doaj.org/toc/1662-5145 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2012
spelling	10.3389/fnint.2012.00028 doi (DE-627)DOAJ060087455 (DE-599)DOAJe57d3dab34be49769249d3de66508a1f DE-627 ger DE-627 rakwb eng RC321-571 RC346-429 Uri eEden verfasserin aut Characterizing the spiking dynamics of subthalamic nucleus neurons in Parkinson's disease using generalized linear models 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Accurately describing the spiking patterns of neurons in the subthalamic nucleus of patients suffering from Parkinson’s disease is important for understanding the pathogenesis of the disease and for achieving the maximum therapeutic benefit from deep brain stimulation. We analyze the spiking activity of 24 subthalamic neurons recorded in Parkinson’s patients during a directed hand movement task by using a point process generalized linear model. The model relates each neuron’s spiking probability simultaneously to factors associated with movement planning and execution, directional selectivity, refractoriness, bursting and oscillatory dynamics. The model indicated that while short-term history dependence related to refractoriness and bursting are most informative in predicting spiking activity, nearly all of the neurons analyzed has a structured pattern of long-term history dependence such that the spiking probability was reduced 20 to 30 ms and then increased 30 to 60 ms after a previous spike. This suggests that the previously described oscillatory firing of neurons in the subthalamic nucleus of Parkinson’s patients during volitional movements is composed of a structured pattern of inhibition and excitation. This point process model provides a systematic framework for characterizing the dynamics of subthalamic neuronal activity. Deep Brain Stimulation Subthalamic Nucleus Parkinson's disease Spike Train Modeling Generalized Linear Models Neurosciences. Biological psychiatry. Neuropsychiatry Neurology. Diseases of the nervous system Ramin eAmirnovin verfasserin aut John Thomas Gale verfasserin aut Emad eEskandar verfasserin aut In Frontiers in Integrative Neuroscience Frontiers Media S.A., 2008 6(2012) (DE-627)579826406 (DE-600)2452962-X 16625145 nnns volume:6 year:2012 https://doi.org/10.3389/fnint.2012.00028 kostenfrei https://doaj.org/article/e57d3dab34be49769249d3de66508a1f kostenfrei http://journal.frontiersin.org/Journal/10.3389/fnint.2012.00028/full kostenfrei https://doaj.org/toc/1662-5145 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2012
allfields_unstemmed	10.3389/fnint.2012.00028 doi (DE-627)DOAJ060087455 (DE-599)DOAJe57d3dab34be49769249d3de66508a1f DE-627 ger DE-627 rakwb eng RC321-571 RC346-429 Uri eEden verfasserin aut Characterizing the spiking dynamics of subthalamic nucleus neurons in Parkinson's disease using generalized linear models 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Accurately describing the spiking patterns of neurons in the subthalamic nucleus of patients suffering from Parkinson’s disease is important for understanding the pathogenesis of the disease and for achieving the maximum therapeutic benefit from deep brain stimulation. We analyze the spiking activity of 24 subthalamic neurons recorded in Parkinson’s patients during a directed hand movement task by using a point process generalized linear model. The model relates each neuron’s spiking probability simultaneously to factors associated with movement planning and execution, directional selectivity, refractoriness, bursting and oscillatory dynamics. The model indicated that while short-term history dependence related to refractoriness and bursting are most informative in predicting spiking activity, nearly all of the neurons analyzed has a structured pattern of long-term history dependence such that the spiking probability was reduced 20 to 30 ms and then increased 30 to 60 ms after a previous spike. This suggests that the previously described oscillatory firing of neurons in the subthalamic nucleus of Parkinson’s patients during volitional movements is composed of a structured pattern of inhibition and excitation. This point process model provides a systematic framework for characterizing the dynamics of subthalamic neuronal activity. Deep Brain Stimulation Subthalamic Nucleus Parkinson's disease Spike Train Modeling Generalized Linear Models Neurosciences. Biological psychiatry. Neuropsychiatry Neurology. Diseases of the nervous system Ramin eAmirnovin verfasserin aut John Thomas Gale verfasserin aut Emad eEskandar verfasserin aut In Frontiers in Integrative Neuroscience Frontiers Media S.A., 2008 6(2012) (DE-627)579826406 (DE-600)2452962-X 16625145 nnns volume:6 year:2012 https://doi.org/10.3389/fnint.2012.00028 kostenfrei https://doaj.org/article/e57d3dab34be49769249d3de66508a1f kostenfrei http://journal.frontiersin.org/Journal/10.3389/fnint.2012.00028/full kostenfrei https://doaj.org/toc/1662-5145 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2012
allfieldsGer	10.3389/fnint.2012.00028 doi (DE-627)DOAJ060087455 (DE-599)DOAJe57d3dab34be49769249d3de66508a1f DE-627 ger DE-627 rakwb eng RC321-571 RC346-429 Uri eEden verfasserin aut Characterizing the spiking dynamics of subthalamic nucleus neurons in Parkinson's disease using generalized linear models 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Accurately describing the spiking patterns of neurons in the subthalamic nucleus of patients suffering from Parkinson’s disease is important for understanding the pathogenesis of the disease and for achieving the maximum therapeutic benefit from deep brain stimulation. We analyze the spiking activity of 24 subthalamic neurons recorded in Parkinson’s patients during a directed hand movement task by using a point process generalized linear model. The model relates each neuron’s spiking probability simultaneously to factors associated with movement planning and execution, directional selectivity, refractoriness, bursting and oscillatory dynamics. The model indicated that while short-term history dependence related to refractoriness and bursting are most informative in predicting spiking activity, nearly all of the neurons analyzed has a structured pattern of long-term history dependence such that the spiking probability was reduced 20 to 30 ms and then increased 30 to 60 ms after a previous spike. This suggests that the previously described oscillatory firing of neurons in the subthalamic nucleus of Parkinson’s patients during volitional movements is composed of a structured pattern of inhibition and excitation. This point process model provides a systematic framework for characterizing the dynamics of subthalamic neuronal activity. Deep Brain Stimulation Subthalamic Nucleus Parkinson's disease Spike Train Modeling Generalized Linear Models Neurosciences. Biological psychiatry. Neuropsychiatry Neurology. Diseases of the nervous system Ramin eAmirnovin verfasserin aut John Thomas Gale verfasserin aut Emad eEskandar verfasserin aut In Frontiers in Integrative Neuroscience Frontiers Media S.A., 2008 6(2012) (DE-627)579826406 (DE-600)2452962-X 16625145 nnns volume:6 year:2012 https://doi.org/10.3389/fnint.2012.00028 kostenfrei https://doaj.org/article/e57d3dab34be49769249d3de66508a1f kostenfrei http://journal.frontiersin.org/Journal/10.3389/fnint.2012.00028/full kostenfrei https://doaj.org/toc/1662-5145 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2012
allfieldsSound	10.3389/fnint.2012.00028 doi (DE-627)DOAJ060087455 (DE-599)DOAJe57d3dab34be49769249d3de66508a1f DE-627 ger DE-627 rakwb eng RC321-571 RC346-429 Uri eEden verfasserin aut Characterizing the spiking dynamics of subthalamic nucleus neurons in Parkinson's disease using generalized linear models 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Accurately describing the spiking patterns of neurons in the subthalamic nucleus of patients suffering from Parkinson’s disease is important for understanding the pathogenesis of the disease and for achieving the maximum therapeutic benefit from deep brain stimulation. We analyze the spiking activity of 24 subthalamic neurons recorded in Parkinson’s patients during a directed hand movement task by using a point process generalized linear model. The model relates each neuron’s spiking probability simultaneously to factors associated with movement planning and execution, directional selectivity, refractoriness, bursting and oscillatory dynamics. The model indicated that while short-term history dependence related to refractoriness and bursting are most informative in predicting spiking activity, nearly all of the neurons analyzed has a structured pattern of long-term history dependence such that the spiking probability was reduced 20 to 30 ms and then increased 30 to 60 ms after a previous spike. This suggests that the previously described oscillatory firing of neurons in the subthalamic nucleus of Parkinson’s patients during volitional movements is composed of a structured pattern of inhibition and excitation. This point process model provides a systematic framework for characterizing the dynamics of subthalamic neuronal activity. Deep Brain Stimulation Subthalamic Nucleus Parkinson's disease Spike Train Modeling Generalized Linear Models Neurosciences. Biological psychiatry. Neuropsychiatry Neurology. Diseases of the nervous system Ramin eAmirnovin verfasserin aut John Thomas Gale verfasserin aut Emad eEskandar verfasserin aut In Frontiers in Integrative Neuroscience Frontiers Media S.A., 2008 6(2012) (DE-627)579826406 (DE-600)2452962-X 16625145 nnns volume:6 year:2012 https://doi.org/10.3389/fnint.2012.00028 kostenfrei https://doaj.org/article/e57d3dab34be49769249d3de66508a1f kostenfrei http://journal.frontiersin.org/Journal/10.3389/fnint.2012.00028/full kostenfrei https://doaj.org/toc/1662-5145 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2012
language	English
source	In Frontiers in Integrative Neuroscience 6(2012) volume:6 year:2012
sourceStr	In Frontiers in Integrative Neuroscience 6(2012) volume:6 year:2012
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Deep Brain Stimulation Subthalamic Nucleus Parkinson's disease Spike Train Modeling Generalized Linear Models Neurosciences. Biological psychiatry. Neuropsychiatry Neurology. Diseases of the nervous system
isfreeaccess_bool	true
container_title	Frontiers in Integrative Neuroscience
authorswithroles_txt_mv	Uri eEden @@aut@@ Ramin eAmirnovin @@aut@@ John Thomas Gale @@aut@@ Emad eEskandar @@aut@@
publishDateDaySort_date	2012-01-01T00:00:00Z
hierarchy_top_id	579826406
id	DOAJ060087455
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ060087455</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230502072935.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230228s2012 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3389/fnint.2012.00028</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ060087455</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJe57d3dab34be49769249d3de66508a1f</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC321-571</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC346-429</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Uri eEden</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Characterizing the spiking dynamics of subthalamic nucleus neurons in Parkinson's disease using generalized linear models</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2012</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Accurately describing the spiking patterns of neurons in the subthalamic nucleus of patients suffering from Parkinson’s disease is important for understanding the pathogenesis of the disease and for achieving the maximum therapeutic benefit from deep brain stimulation. We analyze the spiking activity of 24 subthalamic neurons recorded in Parkinson’s patients during a directed hand movement task by using a point process generalized linear model. The model relates each neuron’s spiking probability simultaneously to factors associated with movement planning and execution, directional selectivity, refractoriness, bursting and oscillatory dynamics. The model indicated that while short-term history dependence related to refractoriness and bursting are most informative in predicting spiking activity, nearly all of the neurons analyzed has a structured pattern of long-term history dependence such that the spiking probability was reduced 20 to 30 ms and then increased 30 to 60 ms after a previous spike. This suggests that the previously described oscillatory firing of neurons in the subthalamic nucleus of Parkinson’s patients during volitional movements is composed of a structured pattern of inhibition and excitation. This point process model provides a systematic framework for characterizing the dynamics of subthalamic neuronal activity.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Deep Brain Stimulation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Subthalamic Nucleus</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Parkinson's disease</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Spike Train Modeling</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Generalized Linear Models</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Neurosciences. Biological psychiatry. Neuropsychiatry</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Neurology. Diseases of the nervous system</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ramin eAmirnovin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">John Thomas Gale</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Emad eEskandar</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Frontiers in Integrative Neuroscience</subfield><subfield code="d">Frontiers Media S.A., 2008</subfield><subfield code="g">6(2012)</subfield><subfield code="w">(DE-627)579826406</subfield><subfield code="w">(DE-600)2452962-X</subfield><subfield code="x">16625145</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:6</subfield><subfield code="g">year:2012</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.3389/fnint.2012.00028</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/e57d3dab34be49769249d3de66508a1f</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://journal.frontiersin.org/Journal/10.3389/fnint.2012.00028/full</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1662-5145</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">6</subfield><subfield code="j">2012</subfield></datafield></record></collection>
callnumber-first	R - Medicine
author	Uri eEden
spellingShingle	Uri eEden misc RC321-571 misc RC346-429 misc Deep Brain Stimulation misc Subthalamic Nucleus misc Parkinson's disease misc Spike Train Modeling misc Generalized Linear Models misc Neurosciences. Biological psychiatry. Neuropsychiatry misc Neurology. Diseases of the nervous system Characterizing the spiking dynamics of subthalamic nucleus neurons in Parkinson's disease using generalized linear models
authorStr	Uri eEden
ppnlink_with_tag_str_mv	@@773@@(DE-627)579826406
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut aut
collection	DOAJ
remote_str	true
callnumber-label	RC321-571
illustrated	Not Illustrated
issn	16625145
topic_title	RC321-571 RC346-429 Characterizing the spiking dynamics of subthalamic nucleus neurons in Parkinson's disease using generalized linear models Deep Brain Stimulation Subthalamic Nucleus Parkinson's disease Spike Train Modeling Generalized Linear Models
topic	misc RC321-571 misc RC346-429 misc Deep Brain Stimulation misc Subthalamic Nucleus misc Parkinson's disease misc Spike Train Modeling misc Generalized Linear Models misc Neurosciences. Biological psychiatry. Neuropsychiatry misc Neurology. Diseases of the nervous system
topic_unstemmed	misc RC321-571 misc RC346-429 misc Deep Brain Stimulation misc Subthalamic Nucleus misc Parkinson's disease misc Spike Train Modeling misc Generalized Linear Models misc Neurosciences. Biological psychiatry. Neuropsychiatry misc Neurology. Diseases of the nervous system
topic_browse	misc RC321-571 misc RC346-429 misc Deep Brain Stimulation misc Subthalamic Nucleus misc Parkinson's disease misc Spike Train Modeling misc Generalized Linear Models misc Neurosciences. Biological psychiatry. Neuropsychiatry misc Neurology. Diseases of the nervous system
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Frontiers in Integrative Neuroscience
hierarchy_parent_id	579826406
hierarchy_top_title	Frontiers in Integrative Neuroscience
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)579826406 (DE-600)2452962-X
title	Characterizing the spiking dynamics of subthalamic nucleus neurons in Parkinson's disease using generalized linear models
ctrlnum	(DE-627)DOAJ060087455 (DE-599)DOAJe57d3dab34be49769249d3de66508a1f
title_full	Characterizing the spiking dynamics of subthalamic nucleus neurons in Parkinson's disease using generalized linear models
author_sort	Uri eEden
journal	Frontiers in Integrative Neuroscience
journalStr	Frontiers in Integrative Neuroscience
callnumber-first-code	R
lang_code	eng
isOA_bool	true
recordtype	marc
publishDateSort	2012
contenttype_str_mv	txt
author_browse	Uri eEden Ramin eAmirnovin John Thomas Gale Emad eEskandar
container_volume	6
class	RC321-571 RC346-429
format_se	Elektronische Aufsätze
author-letter	Uri eEden
doi_str_mv	10.3389/fnint.2012.00028
author2-role	verfasserin
title_sort	characterizing the spiking dynamics of subthalamic nucleus neurons in parkinson's disease using generalized linear models
callnumber	RC321-571
title_auth	Characterizing the spiking dynamics of subthalamic nucleus neurons in Parkinson's disease using generalized linear models
abstract	Accurately describing the spiking patterns of neurons in the subthalamic nucleus of patients suffering from Parkinson’s disease is important for understanding the pathogenesis of the disease and for achieving the maximum therapeutic benefit from deep brain stimulation. We analyze the spiking activity of 24 subthalamic neurons recorded in Parkinson’s patients during a directed hand movement task by using a point process generalized linear model. The model relates each neuron’s spiking probability simultaneously to factors associated with movement planning and execution, directional selectivity, refractoriness, bursting and oscillatory dynamics. The model indicated that while short-term history dependence related to refractoriness and bursting are most informative in predicting spiking activity, nearly all of the neurons analyzed has a structured pattern of long-term history dependence such that the spiking probability was reduced 20 to 30 ms and then increased 30 to 60 ms after a previous spike. This suggests that the previously described oscillatory firing of neurons in the subthalamic nucleus of Parkinson’s patients during volitional movements is composed of a structured pattern of inhibition and excitation. This point process model provides a systematic framework for characterizing the dynamics of subthalamic neuronal activity.
abstractGer	Accurately describing the spiking patterns of neurons in the subthalamic nucleus of patients suffering from Parkinson’s disease is important for understanding the pathogenesis of the disease and for achieving the maximum therapeutic benefit from deep brain stimulation. We analyze the spiking activity of 24 subthalamic neurons recorded in Parkinson’s patients during a directed hand movement task by using a point process generalized linear model. The model relates each neuron’s spiking probability simultaneously to factors associated with movement planning and execution, directional selectivity, refractoriness, bursting and oscillatory dynamics. The model indicated that while short-term history dependence related to refractoriness and bursting are most informative in predicting spiking activity, nearly all of the neurons analyzed has a structured pattern of long-term history dependence such that the spiking probability was reduced 20 to 30 ms and then increased 30 to 60 ms after a previous spike. This suggests that the previously described oscillatory firing of neurons in the subthalamic nucleus of Parkinson’s patients during volitional movements is composed of a structured pattern of inhibition and excitation. This point process model provides a systematic framework for characterizing the dynamics of subthalamic neuronal activity.
abstract_unstemmed	Accurately describing the spiking patterns of neurons in the subthalamic nucleus of patients suffering from Parkinson’s disease is important for understanding the pathogenesis of the disease and for achieving the maximum therapeutic benefit from deep brain stimulation. We analyze the spiking activity of 24 subthalamic neurons recorded in Parkinson’s patients during a directed hand movement task by using a point process generalized linear model. The model relates each neuron’s spiking probability simultaneously to factors associated with movement planning and execution, directional selectivity, refractoriness, bursting and oscillatory dynamics. The model indicated that while short-term history dependence related to refractoriness and bursting are most informative in predicting spiking activity, nearly all of the neurons analyzed has a structured pattern of long-term history dependence such that the spiking probability was reduced 20 to 30 ms and then increased 30 to 60 ms after a previous spike. This suggests that the previously described oscillatory firing of neurons in the subthalamic nucleus of Parkinson’s patients during volitional movements is composed of a structured pattern of inhibition and excitation. This point process model provides a systematic framework for characterizing the dynamics of subthalamic neuronal activity.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700
title_short	Characterizing the spiking dynamics of subthalamic nucleus neurons in Parkinson's disease using generalized linear models
url	https://doi.org/10.3389/fnint.2012.00028 https://doaj.org/article/e57d3dab34be49769249d3de66508a1f http://journal.frontiersin.org/Journal/10.3389/fnint.2012.00028/full https://doaj.org/toc/1662-5145
remote_bool	true
author2	Ramin eAmirnovin John Thomas Gale Emad eEskandar
author2Str	Ramin eAmirnovin John Thomas Gale Emad eEskandar
ppnlink	579826406
callnumber-subject	RC - Internal Medicine
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.3389/fnint.2012.00028
callnumber-a	RC321-571
up_date	2024-07-04T01:59:16.416Z
_version_	1803611911140409344
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ060087455</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230502072935.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230228s2012 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3389/fnint.2012.00028</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ060087455</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJe57d3dab34be49769249d3de66508a1f</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC321-571</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC346-429</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Uri eEden</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Characterizing the spiking dynamics of subthalamic nucleus neurons in Parkinson's disease using generalized linear models</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2012</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Accurately describing the spiking patterns of neurons in the subthalamic nucleus of patients suffering from Parkinson’s disease is important for understanding the pathogenesis of the disease and for achieving the maximum therapeutic benefit from deep brain stimulation. We analyze the spiking activity of 24 subthalamic neurons recorded in Parkinson’s patients during a directed hand movement task by using a point process generalized linear model. The model relates each neuron’s spiking probability simultaneously to factors associated with movement planning and execution, directional selectivity, refractoriness, bursting and oscillatory dynamics. The model indicated that while short-term history dependence related to refractoriness and bursting are most informative in predicting spiking activity, nearly all of the neurons analyzed has a structured pattern of long-term history dependence such that the spiking probability was reduced 20 to 30 ms and then increased 30 to 60 ms after a previous spike. This suggests that the previously described oscillatory firing of neurons in the subthalamic nucleus of Parkinson’s patients during volitional movements is composed of a structured pattern of inhibition and excitation. This point process model provides a systematic framework for characterizing the dynamics of subthalamic neuronal activity.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Deep Brain Stimulation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Subthalamic Nucleus</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Parkinson's disease</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Spike Train Modeling</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Generalized Linear Models</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Neurosciences. Biological psychiatry. Neuropsychiatry</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Neurology. Diseases of the nervous system</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ramin eAmirnovin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">John Thomas Gale</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Emad eEskandar</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Frontiers in Integrative Neuroscience</subfield><subfield code="d">Frontiers Media S.A., 2008</subfield><subfield code="g">6(2012)</subfield><subfield code="w">(DE-627)579826406</subfield><subfield code="w">(DE-600)2452962-X</subfield><subfield code="x">16625145</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:6</subfield><subfield code="g">year:2012</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.3389/fnint.2012.00028</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/e57d3dab34be49769249d3de66508a1f</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://journal.frontiersin.org/Journal/10.3389/fnint.2012.00028/full</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1662-5145</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">6</subfield><subfield code="j">2012</subfield></datafield></record></collection>
score	7.400508

Nicht das Richtige dabei?

Schreiben Sie uns!

Characterizing the spiking dynamics of subthalamic nucleus neurons in Parkinson's disease using generalized linear models

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?