Predicting spike occurrence and neuronal responsiveness from LFPs in primary somatosensory cortex.

Local Field Potentials (LFPs) integrate multiple neuronal events like synaptic inputs and intracellular potentials. LFP spatiotemporal features are particularly relevant in view of their applications both in research (e.g. for understanding brain rhythms, inter-areal neural communication and neurona...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Riccardo Storchi, Antonio G Zippo, Gian Carlo Caramenti, Maurizio Valente, Gabriele E M Biella
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f609c981ceaf420f876c1871fc740ef2
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:f609c981ceaf420f876c1871fc740ef2
record_format	dspace
spelling	oai:doaj.org-article:f609c981ceaf420f876c1871fc740ef22021-11-18T07:19:30ZPredicting spike occurrence and neuronal responsiveness from LFPs in primary somatosensory cortex.1932-620310.1371/journal.pone.0035850https://doaj.org/article/f609c981ceaf420f876c1871fc740ef22012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22586452/?tool=EBIhttps://doaj.org/toc/1932-6203Local Field Potentials (LFPs) integrate multiple neuronal events like synaptic inputs and intracellular potentials. LFP spatiotemporal features are particularly relevant in view of their applications both in research (e.g. for understanding brain rhythms, inter-areal neural communication and neuronal coding) and in the clinics (e.g. for improving invasive Brain-Machine Interface devices). However the relation between LFPs and spikes is complex and not fully understood. As spikes represent the fundamental currency of neuronal communication this gap in knowledge strongly limits our comprehension of neuronal phenomena underlying LFPs. We investigated the LFP-spike relation during tactile stimulation in primary somatosensory (S-I) cortex in the rat. First we quantified how reliably LFPs and spikes code for a stimulus occurrence. Then we used the information obtained from our analyses to design a predictive model for spike occurrence based on LFP inputs. The model was endowed with a flexible meta-structure whose exact form, both in parameters and structure, was estimated by using a multi-objective optimization strategy. Our method provided a set of nonlinear simple equations that maximized the match between models and true neurons in terms of spike timings and Peri Stimulus Time Histograms. We found that both LFPs and spikes can code for stimulus occurrence with millisecond precision, showing, however, high variability. Spike patterns were predicted significantly above chance for 75% of the neurons analysed. Crucially, the level of prediction accuracy depended on the reliability in coding for the stimulus occurrence. The best predictions were obtained when both spikes and LFPs were highly responsive to the stimuli. Spike reliability is known to depend on neuron intrinsic properties (i.e. on channel noise) and on spontaneous local network fluctuations. Our results suggest that the latter, measured through the LFP response variability, play a dominant role.Riccardo StorchiAntonio G ZippoGian Carlo CaramentiMaurizio ValenteGabriele E M BiellaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 5, p e35850 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Riccardo Storchi Antonio G Zippo Gian Carlo Caramenti Maurizio Valente Gabriele E M Biella Predicting spike occurrence and neuronal responsiveness from LFPs in primary somatosensory cortex.
description	Local Field Potentials (LFPs) integrate multiple neuronal events like synaptic inputs and intracellular potentials. LFP spatiotemporal features are particularly relevant in view of their applications both in research (e.g. for understanding brain rhythms, inter-areal neural communication and neuronal coding) and in the clinics (e.g. for improving invasive Brain-Machine Interface devices). However the relation between LFPs and spikes is complex and not fully understood. As spikes represent the fundamental currency of neuronal communication this gap in knowledge strongly limits our comprehension of neuronal phenomena underlying LFPs. We investigated the LFP-spike relation during tactile stimulation in primary somatosensory (S-I) cortex in the rat. First we quantified how reliably LFPs and spikes code for a stimulus occurrence. Then we used the information obtained from our analyses to design a predictive model for spike occurrence based on LFP inputs. The model was endowed with a flexible meta-structure whose exact form, both in parameters and structure, was estimated by using a multi-objective optimization strategy. Our method provided a set of nonlinear simple equations that maximized the match between models and true neurons in terms of spike timings and Peri Stimulus Time Histograms. We found that both LFPs and spikes can code for stimulus occurrence with millisecond precision, showing, however, high variability. Spike patterns were predicted significantly above chance for 75% of the neurons analysed. Crucially, the level of prediction accuracy depended on the reliability in coding for the stimulus occurrence. The best predictions were obtained when both spikes and LFPs were highly responsive to the stimuli. Spike reliability is known to depend on neuron intrinsic properties (i.e. on channel noise) and on spontaneous local network fluctuations. Our results suggest that the latter, measured through the LFP response variability, play a dominant role.
format	article
author	Riccardo Storchi Antonio G Zippo Gian Carlo Caramenti Maurizio Valente Gabriele E M Biella
author_facet	Riccardo Storchi Antonio G Zippo Gian Carlo Caramenti Maurizio Valente Gabriele E M Biella
author_sort	Riccardo Storchi
title	Predicting spike occurrence and neuronal responsiveness from LFPs in primary somatosensory cortex.
title_short	Predicting spike occurrence and neuronal responsiveness from LFPs in primary somatosensory cortex.
title_full	Predicting spike occurrence and neuronal responsiveness from LFPs in primary somatosensory cortex.
title_fullStr	Predicting spike occurrence and neuronal responsiveness from LFPs in primary somatosensory cortex.
title_full_unstemmed	Predicting spike occurrence and neuronal responsiveness from LFPs in primary somatosensory cortex.
title_sort	predicting spike occurrence and neuronal responsiveness from lfps in primary somatosensory cortex.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/f609c981ceaf420f876c1871fc740ef2
work_keys_str_mv	AT riccardostorchi predictingspikeoccurrenceandneuronalresponsivenessfromlfpsinprimarysomatosensorycortex AT antoniogzippo predictingspikeoccurrenceandneuronalresponsivenessfromlfpsinprimarysomatosensorycortex AT giancarlocaramenti predictingspikeoccurrenceandneuronalresponsivenessfromlfpsinprimarysomatosensorycortex AT mauriziovalente predictingspikeoccurrenceandneuronalresponsivenessfromlfpsinprimarysomatosensorycortex AT gabrieleembiella predictingspikeoccurrenceandneuronalresponsivenessfromlfpsinprimarysomatosensorycortex
_version_	1718423639084236800

Predicting spike occurrence and neuronal responsiveness from LFPs in primary somatosensory cortex.

Ejemplares similares