Dopamine receptors and key elements of the neurotrophins (BDNF, CDNF) expression patterns during critical periods of ontogenesis in the brain structures of mice with autism-like be... by P. D. Pravikova, M. A. Arssan, E. A. Zalivina, E. M. Kondaurova, E. A. Kulikova, I. I. Belokopytova, V. S. Naumenko

“…In this study, we investigated the expression of key dopamine receptors (Drd1, Drd2), brain-derived neurotrophic factor (Bdnf), its receptors (Ntrkb2, Ngfr) and the transcription factor Creb1 that mediates BDNF action, as well as cerebral dopamine neurotrophic factor (Cdnf) during the critical periods of embryogenesis (e14 and e18) and postnatal development (p14, p28, p60) in the hippocampus and frontal cortex of BTBR mice with autism-like behavior compared to the neurotypical C57BL/6 J strain. In BTBR embryos, on the 14th day of prenatal development, an increase in the expression of the Ngfr gene encoding the p75NTR receptor, which may lead to the activation of apoptosis, was found in the hippocampus and frontal cortex. …”
Get full text

A novel framework to predict ADHD symptoms using irritability in adolescents and young adults with and without ADHD by Saeedeh Komijani, Dipak Ghosal, Manpreet K. Singh, Julie B. Schweitzer, Julie B. Schweitzer, Prerona Mukherjee, Prerona Mukherjee

“…Our data included adolescents (N=148, 54% ADHD) and young adults (N=124, 42% ADHD) diagnosed with ADHD and neurotypical (NT) individuals, evaluated in a longitudinal study.ResultsResults from the linear regression analysis indicate a significant association between irritability at time-point 1 (T1) and hyperactive-impulsive symptoms at time-point 2 (T2) in adolescent females (β=0.26, p-value < 0.001), and inattentiveness at T1 with irritability at T2 in young adult females (β=0.49, p-value < 0.05). …”
Get full text

A comparative machine learning study of schizophrenia biomarkers derived from functional connectivity by Victoria Shevchenko, R. Austin Benn, Robert Scholz, Wei Wei, Carla Pallavicini, Ulysse Klatzmann, Francesco Alberti, Theodore D. Satterthwaite, Demian Wassermann, Pierre-Louis Bazin, Daniel S. Margulies

“…Functional connectivity within the primary sensory regions showed the highest discrimination capabilities between subjects with schizophrenia and neurotypical controls. These findings along with the feature selection pipeline proposed here will facilitate future inquiries into the prediction of schizophrenia subtypes and transdiagnostic phenomena.…”
Get full text

Mouse strain-specific responses along the gut-brain axis upon fecal microbiota transplantation from children with autism by Naika Prince, Lucia N. Peralta Marzal, Léa Roussin, Magali Monnoye, Catherine Philippe, Elise Maximin, Sabbir Ahmed, Karoliina Salenius, Jake Lin, Reija Autio, Youri Adolfs, R. Jeroen Pasterkamp, Johan Garssen, Laurent Naudon, Sylvie Rabot, Aletta D. Kraneveld, Paula Perez-Pardo

“…Briefly, we depleted the microbiota of conventional male BALB/cAnNCrl (Balb/c) and C57BL/6J (BL/6) mice prior to human fecal microbiota transplantation (hFMT) with samples from children with ASD or their neurotypical siblings. We found mouse strain-specific responses to ASD hFMT. …”
Get full text

Investigating heterogeneity across autism, ADHD, and typical development using measures of cortical thickness, surface area, cortical/subcortical volume, and structural covariance by Younes Sadat-Nejad, Younes Sadat-Nejad, Marlee M. Vandewouw, Marlee M. Vandewouw, R. Cardy, J. Lerch, J. Lerch, J. Lerch, M. J. Taylor, M. J. Taylor, A. Iaboni, C. Hammill, B. Syed, J. A. Brian, J. A. Brian, E. Kelley, E. Kelley, E. Kelley, M. Ayub, J. Crosbie, J. Crosbie, R. Schachar, R. Schachar, S. Georgiades, R. Nicolson, E. Anagnostou, E. Anagnostou, A. Kushki, A. Kushki

“…To address this gap, data-driven methods can be used to discover groups of individuals with shared biological patterns.MethodsIn this study, we investigated measures derived from cortical/subcortical volume, surface area, cortical thickness, and structural covariance investigated of 565 participants with diagnoses of autism [n = 262, median(IQR) age = 12.2(5.9), 22% female], and ADHD [n = 171, median(IQR) age = 11.1(4.0), 21% female] as well neurotypical children [n = 132, median(IQR) age = 12.1(6.7), 43% female]. …”
Get full text

Event segmentation in ADHD: neglect of social information and deviant theta activity point to a mechanism underlying ADHD by Christian Beste, Veit Roessner, Astrid Prochnow, Xianzhen Zhou, Foroogh Ghorbani, Bernhard Hommel

“…Although the symptoms appear to be well described, no coherent conceptual mechanistic framework integrates their occurrence and variance and the associated problems that people with ADHD face.Aims The current study proposes that altered event segmentation processes provide a novel mechanistic framework for understanding deficits in ADHD.Methods Adolescents with ADHD and neurotypically developing (NT) peers watched a short movie and were then asked to indicate the boundaries between meaningful segments of the movie. …”
Get full text