Structural changes induced by daily music listening in the recovering brain after middle cerebral artery stroke: a voxel-based morphometry study

Music is a highly complex and versatile stimulus for the brain that engages many temporal, frontal, parietal, cerebellar, and subcortical areas involved in auditory, cognitive, emotional, and motor processing. Regular musical activities have been shown to effectively enhance the structure and function of many brain areas, making music a potential tool also in neurological rehabilitation. In our previous randomized controlled study, we found that listening to music on a daily basis can improve cognitive recovery and improve mood after an acute middle cerebral artery stroke. Extending this study, a voxel-based morphometry (VBM) analysis utilizing cost function masking was performed on the acute and 6-month post-stroke stage structural magnetic resonance imaging data of the patients (n = 49) who either listened to their favorite music [music group (MG), n = 16] or verbal material [audio book group (ABG), n = 18] or did not receive any listening material [control group (CG), n = 15] during the 6-month recovery period. Although all groups showed significant gray matter volume (GMV) increases from the acute to the 6-month stage, there was a specific network of frontal areas [left and right superior frontal gyrus (SFG), right medial SFG] and limbic areas [left ventral/subgenual anterior cingulate cortex (SACC) and right ventral striatum (VS)] in patients with left hemisphere damage in which the GMV increases were larger in the MG than in the ABG and in the CG. Moreover, the GM reorganization in the frontal areas correlated with enhanced recovery of verbal memory, focused attention, and language skills, whereas the GM reorganization in the SACC correlated with reduced negative mood. This study adds on previous results, showing that music listening after stroke not only enhances behavioral recovery, but also induces fine-grained neuroanatomical changes in the recovering brain.

Eficacia de la inducción miofascial para el tratamiento de la espasticidad en pacientes con parálisis cerebral espástica: ensayo clínico aleatorizado

¿El tratamiento mediante la inducción miofascial disminuye la espasticidad en los pacientes con Parálisis Cerebral Espástica (PCE) mientras son intervenidos con un tratamiento convencional? Objetivos: Comprobar si la inducción miofascial disminuye la espasticidad en pacientes con parálisis cerebral espástica (PCE) y así mismo prevenir las complicaciones musculoesqueléticas y aumentar el rango de movilidad articular. Metodología: Ensayo controlado clínico aleatorizado que recoge un total de 96 casos de PCE con Grado l, ll y lll de afectación según la Escala de clasificación Gross Motor Function Measure (GMFM). Se asignará de forma aleatoria y equitativamente 48 sujetos al grupo control aplicándose el tratamiento convencional y 48 sujetos al grupo experimental, donde la inducción miofascial se complementará con tratamiento convencional. Durante 3 meses se llevará a cabo el plan de intervención, 2 días a la semana en ambos grupos. Los datos serán analizados a través de las siguientes escalas: el tono muscular (Escala de Ashworth Modificada, Escala de Tardieu, Test pendular Wartenberg) funcionalidad y actividad (Gross Motor Function Classification System, Gross Motor Function Mesurement, Pediatric Evaluation of Disability Inventory), valoración neurológica (National Institute of NEurological Disordes and Stroke Scale) y la satisfacción del paciente (Questionnaire on Pain Caused by Spasticity). Estos datos serán extraidos el primer día, el último y 3 meses más tarde a modo de seguimiento. Durante el plan de intervención también se realizarán valoraciones semanales y mensuales.

DWI and complex brain network analysis predicts vascular cognitive impairment in spontaneous hypertensive rats undergoing executive function tests

The identification of biomarkers of vascular cognitive impairment is urgent for its early diagnosis. The aim of this study was to detect and monitor changes in brain structure and connectivity, and to correlate them with the decline in executive function. We examined the feasibility of early diagnostic magnetic resonance imaging (MRI) to predict cognitive impairment before onset in an animal model of chronic hypertension: Spontaneously Hypertensive Rats. Cognitive performance was tested in an operant conditioning paradigm that evaluated learning, memory, and behavioral flexibility skills. Behavioral tests were coupled with longitudinal diffusion weighted imaging acquired with 126 diffusion gradient directions and 0.3 mm(3) isometric resolution at 10, 14, 18, 22, 26, and 40 weeks after birth. Diffusion weighted imaging was analyzed in two different ways, by regional characterization of diffusion tensor imaging (DTI) indices, and by assessing changes in structural brain network organization based on Q-Ball tractography. Already at the first evaluated times, DTI scalar maps revealed significant differences in many regions, suggesting loss of integrity in white and gray matter of spontaneously hypertensive rats when compared to normotensive control rats. In addition, graph theory analysis of the structural brain network demonstrated a significant decrease of hierarchical modularity, global and local efficacy, with predictive value as shown by regional three-fold cross validation study. Moreover, these decreases were significantly correlated with the behavioral performance deficits observed at subsequent time points, suggesting that the diffusion weighted imaging and connectivity studies can unravel neuroimaging alterations even overt signs of cognitive impairment become apparent.

Single period Markowitz portfolio selection, performance gauging and duality: a variation on Luenberger's shortage function

Markowitz portfolio theory (1952) has induced research into the efficiency of portfolio management. This paper studies existing nonparametric efficiency measurement approaches for single period portfolio selection from a theoretical perspective and generalises currently used efficiency measures into the full mean-variance space. Therefore, we introduce the efficiency improvement possibility function (a variation on the shortage function), study its axiomatic properties in the context of Markowitz efficient frontier, and establish a link to the indirect mean-variance utility function. This framework allows distinguishing between portfolio efficiency and allocative efficiency. Furthermore, it permits retrieving information about the revealed risk aversion of investors. The efficiency improvement possibility function thus provides a more general framework for gauging the efficiency of portfolio management using nonparametric frontier envelopment methods based on quadratic optimisation.

Embedding theorems of function classes, IV

Vegeu el resum a l'inici del document del fitxer adjunt

Embedding theorems of function classes, II

Vegeu el resum a l'inici del document del fitxer adjunt.

The period function of the generalized Lotka-Volterra centers

"Vegeu el resum a l'inici del document del fitxer adjunt"

Embedding theorems of function classes, I

"Vegeu el resum a l'inici del document del fitxer adjunt."

The third order Melnikov function of a quadratic center under quadratic perturbation

We study quadratic perturbations of the integrable system (1+x)dH; where H =(x²+y²)=2: We prove that the first three Melnikov functions associated to the perturbed system give rise at most to three limit cycles.

Monitor EMG con conexión inalámbrica

El sistema desarrollado en este trabajo permite la detección de fatiga del músculo de un paciente. Las señales electromiográficas generadas por el músculo son detectadas mediante electrodos superficiales, que sirven de entrada al circuito hacia los diferentes canales de entrada. Tras una primera etapa de amplificación, las señales son filtradas por un filtro pasabanda. Las señales acondicionadas se digitalizan mediante un conversor analógico digital que está conectado a un microcontrolador. Éste establece la comunicación con el PC enviándole los datos a través del puerto serie. Finalmente, mediante un programa implementado en Labview se procesan los datos y se determina la existencia o no de fatiga muscular.

Akt fosforila FoxG1 en cèl·lules de glioma

En un treball recent s’ha descrit l’amplificació del gen del factor de transcripció FoxG1, homòleg de l'oncogen víric aviar Qin, en mostres de meduloblastoma, un tipus de tumor cerebral que representa el 20% dels tumors cerebrals infantils malignes (Adesina et al.¸2007). El tumor cerebral més freqüent i agressiu en l’adult és el glioma, especialment la seva forma més maligna: el glioblastoma multiforme (glioma de grau IV segons la classificació de l'OMS). En aquest treball hem estudiat l'expressió proteica del factor de transcripció FoxG1, homòleg de l'oncogen víric aviar Qin, en mostres de glioma. Vam analitzar 15 mostres de glioma, detectant FoxG1 en 9 d’elles, i amb diferents nivells d’expressió. Intentant aprofundir en el coneixement de la funció i la regulació de FoxG1, vam estudiar si FoxG1 podia ser fosforilat. Vam detectar, tant per assaig cinasa com per espectrometria de masses, que FoxG1 és un substracte directe de la cinasa Akt, el principal efector de la via de PI3K (phosphoinositide 3-kinase). En la línia cel•lular de glioblastoma U373MG, vam observar que Akt endogen fosforila FoxG1 en un pèptid situat a l’extrem C-terminal del domini forkhead. Aquesta fosforilació és contrarestada per un inhibidor farmacològic de PI3K. Al contrari del que passa en FoxO on la fosforilació per Akt inhibeix l’activitat de FoxO promovent la seva exportació del nucli, la fosforilació de FoxG1 per Akt no promou cap canvi en la seva localització subcel•lular, i FoxG1 es manté nuclear. Actualment estem estudiant els efectes biològics de la fosforilació de FoxG1 per Akt.

A new look at the Heston characteristic function

A new expression for the characteristic function of log-spot in Heston model is presented. This expression more clearly exhibits its properties as an analytic characteristic function and allows us to compute the exact domain of the moment generating function. This result is then applied to the volatility smile at extreme strikes and to the control of the moments of spot. We also give a factorization of the moment generating function as product of Bessel type factors, and an approximating sequence to the law of log-spot is deduced.