Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

Modelling of the Electric Field Distribution in Deep Transcranial Magnetic Stimulation in the Adolescence, in the Adulthood, and in the Old Age

Articolo
Data di Pubblicazione:
2016
Abstract:
In the last few years, deep transcranial magnetic stimulation (dTMS) has been used for the treatment of depressive disorders, which affect a broad category of people, from adolescents to aging people. To facilitate its clinical application, particular shapes of coils, including the so-called Hesed coils, were designed. Given their increasing demand and the lack of studies which accurately characterize their use, this paper aims to provide a picture of the distribution of the induced electric field in four realistic human models of different ages and gender. In detail, the electric field distributions were calculated by using numerical techniques in the brain structures potentially involved in the progression of the disease and were quantified in terms of both amplitude levels and focusing power of the distribution.The results highlight how the chosen Hesed coil (H7 coil) is able to induce the maxima levels of E mainly in the prefrontal cortex, particularly for the younger model. Moreover, growing levels of induced electric fields with age were found by going in deep in the brain, as well as a major capability to penetrate in the deepest brain structures with an electric field higher than 50%, 70%, and 90% of the peak found in the cortex.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
deep transcranial magnetic stimulation; computational modelling; Hesed coils; depressive disorders
Elenco autori:
Fiocchi, Serena; Longhi, Michela; Ravazzani, PAOLO GIUSEPPE; Parazzini, Marta
Autori di Ateneo:
FIOCCHI SERENA
PARAZZINI MARTA
RAVAZZANI PAOLO GIUSEPPE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/311186
Pubblicato in:
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (ONLINE)
Journal
  • Dati Generali

Dati Generali

URL

https://www.hindawi.com/journals/cmmm/2016/9039613/
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)