Evidence map›Paper›PMID 31968701›Full record

ArticleSensors (Basel, Switzerland)2020

Aging with Autism Departs Greatly from Typical Aging.

Elizabeth B Torres, Carla Caballero, Sejal Mistry

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Decreased BOLD Signal Variability in Middle-Aged and Older Adults on the Autism Spectrum.Autism research : official journal of the International Society for Autism Research · 2026
    Article
  4. Article
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  11. Parallel age-related cognitive effects in autism: A cross-sectional replication study.Autism research : official journal of the International Society for Autism Research · 2022
    Article
  12. Article
  13. Article
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  15. Article
  16. Article
  17. Reframing Psychiatry for Precision Medicine.Journal of personalized medicine · 2020
    Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Elizabeth B TorresPsychology Department Center for Biomedicine Imaging and Modelling, CS Department and Rutgers Center for Cognitive Science, Rutgers University, Camden, NJ 08854, USA.
Carla CaballeroSports Science Department, Miguel Hernandez University of Elche, 03202 Alicante, Spain.
Sejal MistryBiomathematics Department, Rutgers University, Camden, NJ 08854, USA.

Funding

The Nancy Lurie Marks Family Foundation Career Development AwardThe New Jersey Governor's Council for the Medical Research and Treatments of Autism CAUT17BSP024
6 · The paper itself

Abstract

Autism has been largely portrayed as a psychiatric and childhood disorder. However, autism is a lifelong neurological condition that evolves over time through highly heterogeneous trajectories. These trends have not been studied in relation to normative aging trajectories, so we know very little about aging with autism. One aspect that seems to develop differently is the sense of movement, inclusive of sensory kinesthetic-reafference emerging from continuously sensed self-generated motions. These include involuntary micro-motions eluding observation, yet routinely obtainable in fMRI studies to rid images of motor artifacts. Open-access repositories offer thousands of imaging records, covering 5-65 years of age for both neurotypical and autistic individuals to ascertain the trajectories of involuntary motions. Here we introduce new computational techniques that automatically stratify different age groups in autism according to probability distance in different representational spaces. Further, we show that autistic cross-sectional population trajectories in probability space fundamentally differ from those of neurotypical controls and that after 40 years of age, there is an inflection point in autism, signaling a monotonically increasing difference away from age-matched normative involuntary motion signatures. Our work offers new age-appropriate stochastic analyses amenable to redefine basic research and provide dynamic diagnoses as the person's nervous systems age.

Indexed as

Autistic DisorderAdolescentAdultAgedAgingBrainChildChild, PreschoolHead MovementsHumansMagnetic Resonance ImagingMiddle AgedStochastic ProcessesYoung Adultclassification methodsprobability distancestochastic analyses

Identifiers

PMID31968701
PMCPMC7014496

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.