Association study of the brain-derived neurotropic factor (BDNF) gene in attention deficit hyperactivity disorder

2007 ◽  
Vol 144B (8) ◽  
pp. 976-981 ◽  
Author(s):  
Jonghun Lee ◽  
Nancy Laurin ◽  
Jennifer Crosbie ◽  
Abel Ickowicz ◽  
Tejaswee Pathare ◽  
...  
2017 ◽  
Vol 41 (S1) ◽  
pp. S596-S597
Author(s):  
J.P. Sánchez de la Cruz ◽  
A. López López ◽  
C.A. Tovilla Zárate ◽  
R. Molina Sólis ◽  
A. Valencia Hernández ◽  
...  

The attention deficit hyperactivity disorder (ADHD) is a common neuropsychiatric disease in infancy and adolescence, its world prevalence in the general population is high 3.4%. There is genetic evidence that consistently supports the polygenic nature of ADHD with a heritability estimated between 75% and 91%; literature proposes that the brain derived neurotrophic factor (BDNF) is a candidate gene that participates in the ADHA pathogenesis. One of the most studied polymorphisms is the Val66Met. The aim of this study was to determine a family-based an association between the rs6265, rs122,733,63 and rs110,301,19 polymorphisms of the BDNF gene and the ADHD in a Mexican population. The ADHD diagnose was performed by a pedopsychiatrist utilizing the diagnostic and statistical manual of mental disorders (DSM-V) who selected 35 patients; along with the biological parents, a total of 105 individuals grouped in family-trios (mother, father and ADHD patient) were studied. Of the 35 probands, 32 were men and 3 were women (average age 7.7 years; age range 4–14 years). Subsequently, no statistically significant association was observed between the BDNF gene polymorphisms and the ADHD etiology in Mexican families: rs6265 (χ2 = 1.33; P = 0.24); rs122,733,63 (χ2 = 1.33; P = 0.24); rs110,301;19 (χ2 = 0.66; P = 0.41). Furthermore, no preference of transmission was observed for any of the haplotypes. In conclusion, it was not possible to prove any association between the BDNF gene polymorphic variants and ADHD in a Mexican population. Future studies comprising larger samples are necessary to determine the potential role of the BDNF gene in ADHD.Disclosure of interestThe authors have not supplied their declaration of competing interest.


2019 ◽  
Author(s):  
Zeus Gracia-Tabuenca ◽  
Juan Carlos Díaz-Patiño ◽  
Isaac Arelio ◽  
Sarael Alcauter

AbstractThe functional organization of the brain network (connectome) has been widely studied as a graph; however, methodological issues may affect the results, such as the brain parcellation scheme or the selection of a proper threshold value. Instead of exploring the brain in terms of a static connectivity threshold, this work explores its algebraic topology as a function of the filtration value (i.e., the connectivity threshold), a process termed the Rips filtration in Topological Data Analysis. Specifically, we characterized the transition from all nodes being isolated to being connected into a single component as a function of the filtration value, in a public dataset of children with attention-deficit/hyperactivity disorder (ADHD) and typically developing children. Results were highly congruent when using four different brain segmentations (atlases), and exhibited significant differences for the brain topology of children with ADHD, both at the whole brain network and at the functional sub-network levels, particularly involving the frontal lobe and the default mode network. Therefore, this approach may contribute to identify the neurophysio-pathology of ADHD, reducing the bias of connectomics-related methods.HighlightsTopological Data Analysis was implemented in functional connectomes.Betti curves were assessed based on the area under the curve, slope and kurtosis.The explored variables were robust along four different brain atlases.ADHD showed lower areas, suggesting decreased functional segregation.Frontal and default mode networks showed the greatest differences between groups.Graphical Abstract


2019 ◽  
Vol 29 ◽  
pp. S167-S168
Author(s):  
Paula Rovira ◽  
Cristina Sanchez-Mora ◽  
Iris Garcia-Martínez ◽  
Mireia Pagerols ◽  
Vanesa Richarte ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document