Outcomes of Gender-Affirming Voice and Communication Modification Training for Non-binary Individuals: A Case Series.

OBJECTIVES: There is currently no research reporting solely on outcomes of voice and communication modification training (VCMT) in individuals who identify as non-binary and genderqueer (NBGQ) in the English literature. This study aimed to describe the objective and subjective impact of VCMT on the voice of NBGQ individuals undergoing a 12-week gender-affirming VCMT program. METHODS: A retrospective consecutive case series of NBGQ individuals enrolled in a VCMT program was performed. Demographics, Transgender Self-Evaluation Questionnaire (TSEQ), fundamental frequency (F0), and frequency range were collected before and after the program. RESULTS: Four NBGQ individuals enrolled between January 2019 and June 2021; the mean age was 27.0 years. While all four participants represented in this case series showed improvement in at least one of their initial goals, only one improved both their F0 and TSEQ scores; the other three participants had mixed results. CONCLUSION: NBGQ individuals experienced improvements in self-reported outcomes and changes in acoustic measures after completing VCMT in our case series. Individuals experienced significant improvement in subjective outcomes despite small changes in acoustic measures, and vice versa. More research is needed to better understand the voice and communication needs of NBGQ individuals, along with their outcomes with VCMT. LEVEL OF EVIDENCE: Level 4.

A comparison of the content and nature of worries of autistic and neurotypical young people as they transition from school.

LAY ABSTRACT: Autistic young people experience higher levels of anxiety than neurotypical young people. Having worries is part of feeling anxious. This makes it surprising that very little research has looked at the kind of worries autistic young people have. Leaving school, in particular, can be a worrying time for young people. Twenty-two autistic young people and 22 neurotypical young people who were at mainstream secondary schools agreed to take part in the study. They were between 16 and 18 years of age. They were asked to sort through a series of pictures, showing the different types of worries that young people might experience. They were then asked to pick out their four main worries and say how much they thought about each worry and how upset the worry made them. They also completed a questionnaire about their level of anxiety. There were similarities and differences between the autistic and neurotypical young people's worries. Both groups worried about failing and how they might get on in further education. The autistic young people were more worried about change and friendships. Work and money were particular concerns for the neurotypical young people. The autistic young people said that they found their worries more upsetting than the neurotypical young people. Having a better understanding of autistic young people's worries at important points in their lives might mean that more timely help and support can be given to them. Simply knowing what to ask young autistic school leavers about may help them to express unspoken concerns.

Is there an association between prenatal testosterone and autistic traits in adolescents?

Prenatal testosterone (pT) is a crucial component in physiological masculinization in humans. In line with the Prenatal Sex Steroid Theory of autism, some studies have found a positive correlation between pT and autistic traits in childhood. However, effects in adolescence have not been explored. Hormonal and environmental changes occurring during puberty may alter the strength or the nature of prenatal effects on autistic traits. The current study examines if pT relates to autistic traits in a non-clinical sample of adolescents and young adults (N = 97, 170 observations; age 13-21 years old). It also explores pT interactions with pubertal stage and timing. PT concentrations were measured from amniotic fluid extracted in the 2nd trimester of gestation via amniocentesis conducted for clinical purposes. Autistic traits were measured by self- and parent-reports on the Autism Spectrum Quotient (AQ) which provides a total score and 5 sub-scores (social skills, communication, imagination, attention switching and attention to detail). Self-reported pubertal stage was regressed on age to provide a measure of relative timing. We found no statistical evidence for a direct association between pT and autistic traits in this adolescent sample (males, females or full sample). Exploratory analyses suggested that pT correlated positively with autistic traits in adolescents with earlier puberty-onset, but statistical robustness of this finding was limited. Further exploratory post-hoc tests suggested the pT-by-pubertal timing interaction was stronger in males relative to females, in self-reported compared to parent-reported AQ and specifically for social traits. These findings require replication in larger samples. Findings have implications for understanding the effects of pT on human behavior, specifically existence of effects in adolescence.

Sex-specific impact of prenatal androgens on social brain default mode subsystems.

Early-onset neurodevelopmental conditions (e.g., autism) affect males more frequently than females. Androgens may play a role in this male-bias by sex-differentially impacting early prenatal brain development, particularly neural circuits that later develop specialized roles in social cognition. Here, we find that increasing prenatal testosterone in humans is associated with later reduction of functional connectivity between social brain default mode (DMN) subsystems in adolescent males, but has no effect in females. Since testosterone can work directly via the androgen receptor (AR) or indirectly via the estrogen receptor through aromatase conversion to estradiol, we further examined how a potent non-aromatizable androgen, dihydrotestosterone (DHT), acts via the AR to influence gene expression in human neural stem cells (hNSC)-particularly for genes of high-relevance for DMN circuitry. DHT dysregulates a number of genes enriched for syndromic causes of autism and intellectual disability and for genes that in later development are expressed in anatomical patterns that highly correspond to the cortical midline DMN subsystem. DMN-related and DHT-affected genes (e.g., MEF2C) are involved in a number of synaptic processes, many of which impact excitation-inhibition balance. Androgens have male-specific prenatal influence over social brain circuitry in humans and may be relevant towards explaining some component of male-bias in early-onset neurodevelopmental conditions.

Improving effect size estimation and statistical power with multi-echo fMRI and its impact on understanding the neural systems supporting mentalizing.

Functional magnetic resonance imaging (fMRI) research is routinely criticized for being statistically underpowered due to characteristically small sample sizes and much larger sample sizes are being increasingly recommended. Additionally, various sources of artifact inherent in fMRI data can have detrimental impact on effect size estimates and statistical power. Here we show how specific removal of non-BOLD artifacts can improve effect size estimation and statistical power in task-fMRI contexts, with particular application to the social-cognitive domain of mentalizing/theory of mind. Non-BOLD variability identification and removal is achieved in a biophysical and statistically principled manner by combining multi-echo fMRI acquisition and independent components analysis (ME-ICA). Without smoothing, group-level effect size estimates on two different mentalizing tasks were enhanced by ME-ICA at a median rate of 24% in regions canonically associated with mentalizing, while much more substantial boosts (40-149%) were observed in non-canonical cerebellar areas. Effect size boosting occurs via reduction of non-BOLD noise at the subject-level and consequent reductions in between-subject variance at the group-level. Smoothing can attenuate ME-ICA-related effect size improvements in certain circumstances. Power simulations demonstrate that ME-ICA-related effect size enhancements enable much higher-powered studies at traditional sample sizes. Cerebellar effects observed after applying ME-ICA may be unobservable with conventional imaging at traditional sample sizes. Thus, ME-ICA allows for principled design-agnostic non-BOLD artifact removal that can substantially improve effect size estimates and statistical power in task-fMRI contexts. ME-ICA could mitigate some issues regarding statistical power in fMRI studies and enable novel discovery of aspects of brain organization that are currently under-appreciated and not well understood.