2013
			
	    
	
	
    Analysis of Evoked Deep Brain Connectivity
KLIMEŠ, Petr; Jiří JANEČEK; Pavel JURÁK; Josef HALÁMEK; Jan CHLÁDEK et. al.Základní údaje
Originální název
Analysis of Evoked Deep Brain Connectivity
	Autoři
KLIMEŠ, Petr (203 Česká republika); Jiří JANEČEK (203 Česká republika); Pavel JURÁK (203 Česká republika); Josef HALÁMEK (203 Česká republika); Jan CHLÁDEK (203 Česká republika) a Milan BRÁZDIL (203 Česká republika, garant, domácí)
			Vydání
 United States, Engineering in Medicine and Biology Society (EMBC), 35th Annual International Conference of the IEEE, 3-7-July, 2013, Osaka, od s. 4358-4361, 4 s. 2013
			Nakladatel
the IEEE Engineering in Medicine and Biology Society
		Další údaje
Jazyk
angličtina
		Typ výsledku
Stať ve sborníku
		Obor
30000 3. Medical and Health Sciences
		Stát vydavatele
Spojené státy
		Utajení
není předmětem státního či obchodního tajemství
		Forma vydání
tištěná verze "print"
		Kód RIV
RIV/00216224:14110/13:00066872
		Organizační jednotka
Lékařská fakulta
			ISBN
978-1-4577-0216-7
		ISSN
UT WoS
000341702104200
		Klíčová slova anglicky
human brain
		Příznaky
Mezinárodní význam, Recenzováno
		
				
				Změněno: 10. 2. 2014 11:41, Ing. Mgr. Věra Pospíšilíková
				
		Anotace
V originále
Establishing dependencies and connectivity among different structures in the human brain is an extremely complex issue. Methods that are often used for connectivity analysis are based on correlation mechanisms. Correlation methods can analyze changes in signal shape or instantaneous power level. Although recent studies imply that observation of results from both groups of methods together can disclose some of the basic functions and behavior of the human brain during mental activity and decision-making, there is no technique covering changes in the shape of signals along with changes in their power levels. We present a method using a time evaluation of the correlation along with a comparison of power levels in every available contact pair from intracranial electrodes placed in deep brain structures. Observing shape changes in signals after stimulation together with their power levels provides us with new information about signal character between different structures in the brain during task-related events +/- visual stimulation with motor response. The results for a subject with 95 intracerebral contacts used in this paper demonstrate a clear methodology capable of spatially analyzing connectivity among deep brain structures.
				Návaznosti
| ED1.1.00/02.0068, projekt VaV | 
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| GAP103/11/0933, projekt VaV | 
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