Two therapies that are meant to alter brainwave activity, called Transcranial Magnetic Stimulation and Transcranial Direct Current Stimulation are receiving a lot of attention for potential efficacy in treating autism. They are non-invasive, which means treatment is provided on the scalp. While results vary, the overall evidence does not support these two interventions in helping to treat core autism features. However, as TMS is approved for depression and OCD, people should ask their doctors about these potential treatments if they suffer from these conditions. Learn more in the articles below:

https://link.springer.com/article/10.1007/s00787-024-02635-z

Click to access nihms-1934887.pdf

https://academic.oup.com/cercor/article-abstract/34/13/8/7661139?redirectedFrom=fulltext&login=false

It happens every year – this one belonged in the 2024 year end highlights but was published late in the year. Researchers at UCSD, UCLA and CHLA followed families with autism whose genetic test revealed a rare variant. Did it make a difference in care? Understanding? Referrals? If you are in need of a genetic test, here are some things to know: https://www.alliancegenda.org/genetic-testing

Reference here: https://www.sciencedirect.com/science/article/pii/S1098360024002673

New Technologies, New Data, New Solutions

This year’s progress in autism research includes promising findings, clarifications, explanations, and the uncovering of new avenues of inquiry. The focus is now on personalized medicine: finding the right treatment for the right person at the right time through targeted interventions. Advances in technology and genetic testing are opening new avenues for therapeutics, rapid drug testing, and improved differentiation of subgroups of autism.

2024 Autism Science Review

While it may not seem like it, the COVID-19 pandemic brought some advances in care and understanding for people on the spectrum. One example is the development and validity of remotely administered assessments that families can participate in from home rather than travel to a clinic. These tools were built out of necessity, and are evolving into a set of tools that can be used to build better outcome measures for clinical trials. This round focused on those with autism and a rare genetic variant or “neurogenetic syndromes” since these individuals have a known biological etiology of autism. However, they may be further improved to be utilized across the autism spectrum.

https://pubmed.ncbi.nlm.nih.gov/39643599

https://pubmed.ncbi.nlm.nih.gov/39526825

This week, special podcast correspondent #MiaKotikovski summarizes new research on the increasing prevalence of autism, with a focus on females. While the number of diagnosed females is increasing faster than the number for males, females assigned at birth still are less likely to receive a diagnosis than males. Additional evidence points to females having more genetic mutations and lower cognitive ability, so the questions remain: Are there females with autism who are just not getting diagnosed despite having all the autism features? Why not? Does autism in females “look” the same as autism in males? What sets them apart? These articles are all featured in the year-end highlight of research, so this is the time to get a deep explanation of the latest in sex differences in #autism.

https://pubmed.ncbi.nlm.nih.gov/34563942

https://pubmed.ncbi.nlm.nih.gov/39334436

https://pubmed.ncbi.nlm.nih.gov/33966484

….or at a podcast with at least an attempt at an explanation of what synaptic density is and how it is affected in brains of people with autism. This week we review three convergent lines of evidence – whole brain, brain cell then genes within those brain cells – that show that the autistic brain has a decrease in cell-to-cell communication in multiple brain regions, leading to social communication impairments.

https://www.science.org/doi/pdf/10.1126/science.adh2602?casa_token=bjtbuFi5U88AAAAA:_ffcE-pGCPxh4re24ix_xDgenAS1cAgDHLIMJJQCCG_1LvxaJKrGwEb9LFuMNsTYhvtGqRwro1A1Smc

https://academic.oup.com/cercor/article-abstract/34/13/121/7661138?redirectedFrom=fulltext&login=false#no-access-message

https://pubmed.ncbi.nlm.nih.gov/39367053

Are you the grandparent, cousin, aunt, uncle, sibling, or half-sibling of someone with autism and wondered “what is the likelihood of autism in families, and the likelihood of comorbid conditions if I have a family member with autism?” Researchers at the AJ Drexel Autism Research Institute and Aarhus University in Denmark collaborated to calculate probabilities between autism in a person and dozens of other comorbid conditions in family members. They not only made the paper open to the public for everyone to read it, but they also created a publicly available data visualization tool so anyone can go on and look at specific situations of particular family relationships relating to anything from autoimmune conditions to mental health and psychiatric diagnosis. Links below for reference:

https://pubmed.ncbi.nlm.nih.gov/39283002

Interactive graphs: https://public.tableau.com/app/profile/diana.schendel/viz/ASDPlots_16918786403110/e-Figure5

Despite many years fighting it, families with autism still experience societal stigma. The experiences depend on many factors, summarized in the October 21st podcast. This week, Mia Kotikovski explores cultural factors involved in stigma. As examples, she explores the literature from Asia, the Middle East and the United Kingdom, how they are different, and how families cope with that stigma in different areas of the world.

https://link.springer.com/article/10.1007/s40489-023-00373-7

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9330163

https://link.springer.com/article/10.1007/s10803-019-04218-3

https://www.nature.com/articles/s41598-022-23978-0

https://molecularautism.biomedcentral.com/articles/10.1186/s13229-023-00579-w

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0261774

https://onlinelibrary.wiley.com/doi/full/10.1002/aur.2652

Animal models of autism, including cell based models, have received criticism because autism is a uniquely human condition so there is no value in studying it in a model like a mouse or a cell. On the other hand, model systems have been used for decades to develop therapies for a myraid of other conditions and disorders, and produced evidence-based treatments for not just autism but conditions from ADHD to schizophrenia. So why is there so much backlash about this line of research? The ASF podcast talks to Jill Silverman at UC Davis to get some perspective.

https://pubmed.ncbi.nlm.nih.gov/35285132

https://www.vox.com/future-perfect/377739/autism-research-mice-lab-models

This week, part 1 in cultural stigma around autism with Mia Kotikovski provides an overview of stigma, where it can come from across cultures and provides some examples of stigma in different countries. Different areas of the world are in different places in terms of their perceptions of autism, their needs for autism families, and what they perceive as their greatest difficulties. The topic is so important we broke it down into two sections. Please listen to both, it will explain a lot about autism services and supports around the world.

https://journals.sagepub.com/doi/10.1177/1362361318823550

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8992913

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11303671

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11303671

https://pubmed.ncbi.nlm.nih.gov/30248583

https://pubmed.ncbi.nlm.nih.gov/38507392

https://www.researchgate.net/publication/277816405_A_Cross-Cultural_Comparison_of_Knowledge_and_Stigma_Associated_with_Autism_Spectrum_Disorder_Among_College_Students_in_Lebanon_and_the_United_States?enrichId=rgreq-97b7d5f50aac4d5b124ea8295b42fdb0-XXX&enrichSource=Y292ZXJQYWdlOzI3NzgxNjQwNTtBUzoyNDI4NTI2Mzk4NDIzMDRAMTQzNDkxMTk4OTI3MA%3D%3D&el=1_x_3&_esc=publicationCoverPdf

Understanding factors that make each person with autism different has been a challenge, affecting diagnosis, interventions and the way we think about autism in general. Researchers at Istituto Italiano di Tecnologia, Rovereto, Italy, used computers to see how language, intellectual ability, motor and adaptive functioning grouped individuals into different categories. It turns out there are …

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