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You searched for subject:( Conectoma). Showing records 1 – 3 of 3 total matches.

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Universitat Pompeu Fabra

1. Khandelwal, Avinash, 1987-. The wiring diagram of antennal lobe and mapping a brain circuit that controls chemotaxis behavior in the Drosophila larva.

Degree: Departament de Ciències Experimentals i de la Salut, 2017, Universitat Pompeu Fabra

Las larvas de Drosophila ofrecen una oportunidad única para el mapeo anatómico y funcional de su sistema nervioso debido a propiedades como la simplicidad numérica de neuronas que componen su sistema nervioso y su habilidad de exhibir comportamientos cuantificables como la quimiotaxis. En este estudio hemos mapeado el lóbulo antenal de la larva de Drosophila con uno de sus circuitos responsable de controlar la transformación sensorial-motora en el asta lateral (LH) (cerebro superior) a través de una sola neurona descendiente usando la reconstrucción 3D para microscopia electrónica. Hemos presentado, en el lóbulo antenal, un circuito canónico con proyecciones neuronales uniglomerulares (uPNs) responsables de transmitir aumentos controlados de actividad desde sus ORN* hasta centros superiores del cerebro como el cuerpo fungiforme y el asta lateral del protocerebro. Hemos descubierto también un circuito paralelo formado por neuronas con proyecciones multiglomerulares (mPNs) y neuronas locales (Lns), organizadas jerárquicamente, que integran selectivamente señales desde múltiples ORNs a nivel de primera sinapsis con conectividad LN-LN implementando aparentemente un mecanismo de aumento de control que potencialmente puede intercambiar señales olfativas distintas computacionalmente a través de inhibición panglomerular permitiendo al sistema responder a olores vagamente aversivos en un ambiente rico en fuertes olores apetitosos. También hemos reconstruido y estudiado uno de los circuitos olfativos que conectan con el LH conocido por influenciar la quimiotaxis de la larva a través de un sola neurona cerebral descendiente, la PVM027. Hemos descubierto que dicha neurona es la responsable de controlar la respuesta stop en el comportamiento de quimiotaxis. La reconstrucción por EM revela su conexión con una variedad de sistemas motores así como neuronas descendientes SEZ en el VNC. Observamos dichas conexiones gracias al circuito de propagación de onda peristáltica de la larva, y descubrimos que la PVM027 implementa la señal de stop terminando e interrumpiendo el origen de la onda peristáltica. Advisors/Committee Members: [email protected] (authoremail), true (authoremailshow), Louis, Matthieu (director).

Subjects/Keywords: Chemotaxis; Antennal lobe; Drosophila; Electron Microscopy; Connectome; Quimiotaxis; Lóbulo antennal; Drosophila; Microscopia electronica; Conectoma; 616.8

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Khandelwal, Avinash, 1. (2017). The wiring diagram of antennal lobe and mapping a brain circuit that controls chemotaxis behavior in the Drosophila larva. (Thesis). Universitat Pompeu Fabra. Retrieved from http://hdl.handle.net/10803/663806

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Khandelwal, Avinash, 1987-. “The wiring diagram of antennal lobe and mapping a brain circuit that controls chemotaxis behavior in the Drosophila larva.” 2017. Thesis, Universitat Pompeu Fabra. Accessed September 25, 2020. http://hdl.handle.net/10803/663806.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Khandelwal, Avinash, 1987-. “The wiring diagram of antennal lobe and mapping a brain circuit that controls chemotaxis behavior in the Drosophila larva.” 2017. Web. 25 Sep 2020.

Vancouver:

Khandelwal, Avinash 1. The wiring diagram of antennal lobe and mapping a brain circuit that controls chemotaxis behavior in the Drosophila larva. [Internet] [Thesis]. Universitat Pompeu Fabra; 2017. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/10803/663806.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Khandelwal, Avinash 1. The wiring diagram of antennal lobe and mapping a brain circuit that controls chemotaxis behavior in the Drosophila larva. [Thesis]. Universitat Pompeu Fabra; 2017. Available from: http://hdl.handle.net/10803/663806

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade Estadual de Campinas

2. Pereira, Fabricio Ramos Silvestre, 1975-. Conectoma cerebral = aplicações de imageamento por ressonância magnética nuclear em neurociências = Brain connectome : aplications of nuclear magnetic resonance imaging in neurosciences: Brain connectome : aplications of nuclear magnetic resonance imaging in neurosciences.

Degree: 2013, Universidade Estadual de Campinas

Abstract: Connectome refers to the neural circuitry mapping aiming to identify brain regions that support mental and behavioral functions as well as to detect circuit changes that are linked to psychiatric or neurologic disorders. In practice, connectome studies link several neuroimaging approaches such as MRI, EEG and MEG by means of the estimation of connections among remote brain regions. This "connectivity" among brain regions is usually classified as anatomic, functional or effective. In this work, the technique of connectivity, using MR data, was applied to compare healthy and pathological groups. By means of the anatomical connectivity abnormalities in the white matter of patients with SPG11 mutation were observed. These abnormalities were expressed as the reduction of the levels of fractional anisotropy (FA) and the increase in mean (MD) and radial diffusivities (RD) in sub-cortical regions of temporal and frontal lobe as well as in cingulated gyrus, cuneus, striatum, corpus callosum and brainstem. These findings suggest that neuronal damage/dysfunction is more widespread than previously recognized in this condition. Another anatomical connectivity study showed that such indices of diffusivity were not robust to statistically differentiate between old subjects with and without depression. This lacking on finding differences between both groups indicates that new indices of diffusivity have to emerge in order to provide complementary information about brain subtle microstructures. Functional connectivity was applied to three studies. In the first study, it was observed that patients with unilateral medial temporal lobe epilepsy presented lower levels of functional connectivity during visual or verbal memory tasks. Such reduction was ipsilateral to the side of the lesion and associated to the specific-material used in the memory task. In the second work, the levels of functional connectivity were reduced in hypothalamic regions of obese patients but a partial reversibility of hypothalamic dysfunction was observed after bariatric surgery. In the third, patients with Alzheimer disease presented higher values of functional connectivity in the salience network and a reduction of connectivity values in the default-mode network. Also in these patients, significant correlations between the levels of hyperactivity syndrome and the salience network were observed in the anterior cingulate cortex and right insula areas. These results indicate the potential clinical significance of resting state alterations in future diagnosis and therapy of Alzheimer disease. The effective connectivity approaches demonstrated that old and young subjects have significant differences when encoding words with emotional contents. The influence of the hippocampus on the ipsilateral amygdale was lower for older subjects whereas the influence of the right amygdale on the right hippocampus was increased for these subjects. These findings suggest that brain plasticity also happens as function of age. The same approach was used to estimate the… Advisors/Committee Members: UNIVERSIDADE ESTADUAL DE CAMPINAS (CRUESP), Castellano, Gabriela, 1970- (advisor), Universidade Estadual de Campinas. Faculdade de Ciências Médicas (institution), Programa de Pós-Graduação em Fisiopatologia Médica (nameofprogram), Stella, Florindo (committee member), Rezende, Renato Cabral (committee member), Centroducatte, Paulo Cesar (committee member), Silva, Mauro Antonio Pires Dias da (committee member).

Subjects/Keywords: Neurociências; Espectroscopia de ressonância magnética nuclear; Mapeamento cerebral; Conectividade cerebral; Conectoma; Neurosciences; Magnetic resonance imaging; Brain function mapping; Brain connectivity; Connectome

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pereira, Fabricio Ramos Silvestre, 1. (2013). Conectoma cerebral = aplicações de imageamento por ressonância magnética nuclear em neurociências = Brain connectome : aplications of nuclear magnetic resonance imaging in neurosciences: Brain connectome : aplications of nuclear magnetic resonance imaging in neurosciences. (Thesis). Universidade Estadual de Campinas. Retrieved from http://repositorio.unicamp.br/jspui/handle/REPOSIP/312650

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pereira, Fabricio Ramos Silvestre, 1975-. “Conectoma cerebral = aplicações de imageamento por ressonância magnética nuclear em neurociências = Brain connectome : aplications of nuclear magnetic resonance imaging in neurosciences: Brain connectome : aplications of nuclear magnetic resonance imaging in neurosciences.” 2013. Thesis, Universidade Estadual de Campinas. Accessed September 25, 2020. http://repositorio.unicamp.br/jspui/handle/REPOSIP/312650.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pereira, Fabricio Ramos Silvestre, 1975-. “Conectoma cerebral = aplicações de imageamento por ressonância magnética nuclear em neurociências = Brain connectome : aplications of nuclear magnetic resonance imaging in neurosciences: Brain connectome : aplications of nuclear magnetic resonance imaging in neurosciences.” 2013. Web. 25 Sep 2020.

Vancouver:

Pereira, Fabricio Ramos Silvestre 1. Conectoma cerebral = aplicações de imageamento por ressonância magnética nuclear em neurociências = Brain connectome : aplications of nuclear magnetic resonance imaging in neurosciences: Brain connectome : aplications of nuclear magnetic resonance imaging in neurosciences. [Internet] [Thesis]. Universidade Estadual de Campinas; 2013. [cited 2020 Sep 25]. Available from: http://repositorio.unicamp.br/jspui/handle/REPOSIP/312650.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pereira, Fabricio Ramos Silvestre 1. Conectoma cerebral = aplicações de imageamento por ressonância magnética nuclear em neurociências = Brain connectome : aplications of nuclear magnetic resonance imaging in neurosciences: Brain connectome : aplications of nuclear magnetic resonance imaging in neurosciences. [Thesis]. Universidade Estadual de Campinas; 2013. Available from: http://repositorio.unicamp.br/jspui/handle/REPOSIP/312650

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universitat de Girona

3. Bonmatí Coll, Ester. Study of brain complexity using information theory tools.

Degree: Departament d'Informàtica, Matemàtica Aplicada i Estadística (2013-), 2016, Universitat de Girona

El cervell humà és una xarxa complexa que comparteix i processa la informació mitjançant els camins estructurals per tal de realitzar una funció. El connectoma és una representació del cervell en forma de graf, on els nodes corresponen a regions del cervell i les arestes a connexions estructurals o funcionals. En aquesta tesi, s'investiga i es proporcionen nous mètodes per estudiar la complexitat del cervell i millorar la comprensió del seu funcionament mitjançant l'ús de la teoria de la informació. En primer lloc, ens centrem en mètodes de parcel.lació del cervell, el qual és un pas clau per realitzar estudis de complexitat ja que determina les regions a analitzar. En segon lloc, ens centrem en la definició de mesures per a caracteritzar la complexitat de les xarxes cerebrals. Finalment, la consistència dels resultats entre els subjectes sans a partir de dades de connectivitat funcional o estructural, demostra la flexibilitat i robustesa dels mètodes proposats Advisors/Committee Members: [email protected] (authoremail), false (authoremailshow), Boada, Imma (director), Bardera i Reig, Antoni (director), true (authorsendemail).

Subjects/Keywords: Connectome; Connectoma; Conectoma; Brain complexity; Complexitat del cervell; Complejidad del cerebro; Information theory; Teoria de la informació; Teoría de la información; Brain networks; Xarxes cerebrals; Redes cerebrales; 004; 616.8

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bonmatí Coll, E. (2016). Study of brain complexity using information theory tools. (Thesis). Universitat de Girona. Retrieved from http://hdl.handle.net/10803/404384

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bonmatí Coll, Ester. “Study of brain complexity using information theory tools.” 2016. Thesis, Universitat de Girona. Accessed September 25, 2020. http://hdl.handle.net/10803/404384.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bonmatí Coll, Ester. “Study of brain complexity using information theory tools.” 2016. Web. 25 Sep 2020.

Vancouver:

Bonmatí Coll E. Study of brain complexity using information theory tools. [Internet] [Thesis]. Universitat de Girona; 2016. [cited 2020 Sep 25]. Available from: http://hdl.handle.net/10803/404384.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bonmatí Coll E. Study of brain complexity using information theory tools. [Thesis]. Universitat de Girona; 2016. Available from: http://hdl.handle.net/10803/404384

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.