Distinct and shared therapeutic neural mechanisms of mindfulness-based and social support stress reduction groups in adults with autism spectrum disorder.

BACKGROUND: Mindfulness-based stress reduction (MBSR) alleviates depression and anxiety in adults with autism spectrum disorder (ASD); however, underlying therapeutic neural mechanisms and mindfulness-specific effects have yet to be elucidated. METHODS: We randomly assigned adults with ASD to MBSR or social support/education (SE). They completed questionnaires that assessed depression, anxiety, mindfulness traits, autistic traits and executive functioning abilities as well as a self-reflection functional MRI task. We used repeated-measures analysis of covariance (ANCOVA) to evaluate behavioural changes. To identify task-specific connectivity changes, we performed a generalized psychophysiological interactions (gPPI) functional connectivity (FC) analysis on regions of interest (ROIs; insula, amygdala, cingulum and prefrontal cortex [PFC]). We used Pearson correlations to explore brain-behaviour relationships. RESULTS: Our final sample included 78 adults with ASD - 39 who received MBSR and 39 who received SE. Mindfulness-based stress reduction uniquely improved executive functioning abilities and increased mindfulness traits, whereas both MBSR and SE groups showed reductions in depression, anxiety and autistic traits. Decreases specific to MBSR in insula-thalamus FC were associated with anxiety reduction and increased mindfulness traits, including the trait "nonjudgment;" MBSR-specific decreases in PFC-posterior cingulate connectivity correlated with improved working memory. Both groups showed decreased amygdala-sensorimotor and medial-lateral PFC connectivity, which corresponded with reduced depression. LIMITATIONS: Larger sample sizes and neuropsychological evaluations are needed to replicate and extend these findings. CONCLUSION: Together, our findings suggest that MBSR and SE are similarly efficacious for depression, anxiety and autistic traits, whereas MBSR produced additional salutary effects related to executive functioning and mindfulness traits. Findings from gPPI identified shared and distinct therapeutic neural mechanisms, implicating the default mode and salience networks. Our results mark an early step toward the development of personalized medicine for psychiatric symptoms in ASD and offer novel neural targets for future neurostimulation research. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov identifier NCT04017793.

Sex-related brain connectivity correlates of compensation in adults with autism: insights into female protection.

The male preponderance in autism spectrum disorder (ASD) led to the hypothesis that aspects of female biology are protective against ASD. Females with ASD (ASD-F) report more compensatory behaviors (i.e. "camouflaging") to overcome ASD-related social differences, which may be a mechanism of protection. No studies have examined sex-related brain pathways supporting camouflaging in ASD-F, despite its potential to inform mechanisms underlying the ASD sex bias. We used functional connectivity (FC) to investigate "sex-atypical" and "sex-typical" FC patterns linked to camouflaging in adults with ASD and examined multimodal coherence of findings via structural connectometry. Exploratory associations with cognitive/emotional functioning examined the adaptive nature of FC patterns. We found (i) "sex-atypical" FC patterns linked to camouflaging in the hypothalamus and precuneus and (ii) "sex-typical" patterns in the right anterior cingulate and anterior parahippocampus. Higher hypothalamic FC with a limbic reward cluster also correlated with better cognitive control/emotion recognition. Structural connectometry validated FC results with consistent brain pathways/effect patterns implicated in ASD-F. In summary, "male-typical" and "female-typical" brain connectivity patterns support camouflaging in ASD-F in circuits implicated in reward, emotion, and memory retrieval. "Sex-atypical" results are consistent with fetal steroidogenic/neuroinflammatory hypotheses. However, female genetics/biology may contribute to "female-typical" patterns implicated in camouflaging.

APOE ε4-Allele in Middle-Aged and Older Autistic Adults: Associations with Verbal Learning and Memory.

Autism spectrum disorder (ASD) is a neurodevelopmental disability and recent evidence suggests that autistic adults are more likely to develop Alzheimer's disease (Alz) and other dementias compared to neurotypical (NT) adults. The ε4-allele of the Apolipoprotein E (APOE) gene is the strongest genetic risk factor for Alz and negatively impacts cognition in middle-aged and older (MA+) adults. This study aimed to determine the impact of the APOE ε4-allele on verbal learning and memory in MA+ autistic adults (ages 40-71 years) compared to matched NT adults. Using the Auditory Verbal Learning Test (AVLT), we found that ε4 carriers performed worse on short-term memory and verbal learning across diagnosis groups, but there was no interaction with diagnosis. In exploratory analyses within sex and diagnosis groups, only autistic men carrying APOE ε4 showed worse verbal learning (p = 0.02), compared to autistic men who were not carriers. Finally, the APOE ε4-allele did not significantly affect long-term memory in this sample. These findings replicate previous work indicating that the APOE ε4-allele negatively impacts short-term memory and verbal learning in MA+ adults and presents new preliminary findings that MA+ autistic men may be vulnerable to the effects of APOE ε4 on verbal learning. Future work with a larger sample is needed to determine if autistic women may also be vulnerable.

Quality of life in adults with autism spectrum disorder: influence of age, sex, and a controlled, randomized mindfulness-based stress reduction pilot intervention.

PURPOSE: Adults with autism spectrum disorder (ASD) consistently report worse functional health and well-being, compared to neurotypical (NT) peers. In a series of studies, we aimed to elucidated the effects of sex, age, and their interaction on health-related quality of life (HRQoL) and evaluated the effectiveness of mindfulness-based stress reduction (MBSR) for improving health-, disability-, and autism-related QoL, with possible sex and age outcome moderators, in adults with ASD. METHODS: Study 1 used the 36-Item Short Form Survey to compare mental and physical HRQoL composite scores in adults with ASD (n = 67) and matched NT adults (n = 66). Study 2 was a randomized pilot evaluation of the effect of MBSR, compared to an active control intervention with social support and relaxation education (support/education; n = 56), on the World Health Organization QoL BREF, Disability, and Autism-Specific scales in adults with ASD. RESULTS: In Study 1, we replicated findings that mental HRQoL is worse in both men and women with ASD, compared to NT counterparts, but physical HRQoL is only worse in women with ASD. We present novel findings that older age is associated with better mental HRQoL in women with ASD only. In Study 2, MBSR improved disability-related QoL in adults with ASD over and above the support/education intervention, but both interventions improved mental HRQoL. Lastly, both interventions were more effective for HRQoL improvements in women with ASD. CONCLUSION: Findings encourage precision medicine approaches tailored to age and sex groups for best HRQoL outcomes in adults with ASD. CLINICALTRIALS: gov Identifier: NCT04017793.

The neural correlates of mindfulness-induced depression reduction in adults with autism spectrum disorder: A pilot study.

Adults with autism spectrum disorder (ASD) experience high rates of depression and anxiety, and some evidence suggests mindfulness-based stress reduction (MBSR) is effective in reducing these symptoms. However, the neural mechanisms of symptom alleviation, and benefit of MBSR beyond education/support groups are unknown. Maladaptive forms of self-reflection are linked to ASD, depression, and anxiety. In this pilot study, we hypothesized (a) MBSR would reduce depression and anxiety in adults with ASD and (b) a mechanism of symptom alleviation would be increased blood oxygen level-dependent signal in neural self-reflection hubs. Twenty-eight adults were randomly assigned to an 8-week MBSR group (n = 15) or a support group (n = 13) that met for the same amount of time with relaxation education materials. Based on previous self-reflection literature in ASD, regions of interest (ROIs) were middle cingulate cortex (MCC) and ventromedial prefrontal cortex (vmPFC). Only the MBSR group demonstrated significant reductions in depression, and neither group significantly changed in anxiety. Only the MBSR group increased activity of right MCC during self-reflection, and the increase correlated with depression alleviation. There were no changes in vmPFC for the MBSR group or either ROI for the support/education group. Seed-to-voxel connectivity analysis revealed that only the MBSR group increased functional connectivity between right MCC and pre/postcentral gyrus, suggesting MBSR may increase primary sensorimotor input to higher order cognitive brain regions. Taken together, MBSR may be effective for reducing depression in adults with ASD, and the neural mechanism may be increasing frontal circuit involvement during self-directed thought.

Age-Related Atrophy and Compensatory Neural Networks in Reading Comprehension.

OBJECTIVES: Despite changes to brain integrity with aging, some functions like basic language processes remain remarkably preserved. One theory for the maintenance of function in light of age-related brain atrophy is the engagement of compensatory brain networks. This study examined age-related changes in the neural networks recruited for simple language comprehension. METHODS: Sixty-five adults (native English-speaking, right-handed, and cognitively normal) aged 17-85 years underwent a functional magnetic resonance imaging (fMRI) reading paradigm and structural scanning. The fMRI data were analyzed using independent component analysis to derive brain networks associated with reading comprehension. RESULTS: Two typical frontotemporal language networks were identified, and these networks remained relatively stable across the wide age range. In contrast, three attention-related networks showed increased activation with increasing age. Furthermore, the increased recruitment of a dorsal attention network was negatively correlated to gray matter thickness in temporal regions, whereas an anterior frontoparietal network was positively correlated to gray matter thickness in insular regions. CONCLUSIONS: We found evidence that older adults can exert increased effort and recruit additional attentional resources to maintain their reading abilities in light of increased cortical atrophy.

Pragmatic staging of oesophageal cancer using decision theory involving selective endoscopic ultrasonography, PET and laparoscopy.

BACKGROUND: Following CT, guidelines for staging oesophageal and gastro-oesophageal junction (GOJ) cancer recommend endoscopic ultrasonography (EUS), PET-CT and laparoscopy for T3-T4 GOJ tumours. These recommendations are based on generic utilities, but it is unclear whether the test risk outweighs the potential benefit for some patients. This study sought to quantify investigation risks, benefits and utilities, in order to develop pragmatic, personalized staging recommendations. METHODS: All patients with a histological diagnosis of oesophageal or GOJ cancer staged between May 2006 and July 2013 comprised a development set; those staged from July 2013 to July 2014 formed the prospective validation set. Probability thresholds of altering management were calculated and predictive factors identified. Algorithms and models (decision tree analysis, logistic regression, artificial neural networks) were validated internally and independently. RESULTS: Some 953 patients were staged following CT, by [(18) F]fluorodeoxyglucose PET-CT (918), EUS (798) and laparoscopy (458). Of these patients, 829 comprised the development set (800 PET-CT, 698 EUS, 397 laparoscopy) and 124 the validation set (118 PET-CT, 100 EUS, 61 laparoscopy). EUS utility in the 71.8 per cent of patients with T2-T4a disease on CT was minimal (0.4 per cent), its risk exceeding benefit. EUS was moderately accurate for pT1 N0 disease. A number of factors predicted metastases on PET-CT and laparoscopy, although none could inform an algorithm. PET-CT altered management in 23.0 per cent, and laparoscopy in 7.1 per cent, including those with T2 and distal oesophageal tumours. CONCLUSION: Although EUS provided additional information on T and N category, its risk outweighed potential benefit in patients with T2-T4a disease on CT. Laparoscopy seemed justified for distal oesophageal tumours of T2 or greater.

Ultrasound in rare diffuse liver disease.

Ultrasound is often the first imaging procedure performed in the evaluation of individuals with suspected or known liver disease. Despite technical advances in ultrasound techniques, sonographic detection and evaluation of diffuse liver disease still remains difficult. This is due to the fact that diffuse liver disease does not always cause distortion of the liver parenchymal texture, internal liver architecture, or shape of the liver. On the other hand, the size of the liver, the echo pattern of the hepatic parenchyma, the analysis of intrahepatic vessels and alterations in perihepatic structures and lymph nodes can be helpful sonographic parameters of diffuse liver disease. Until now, the sonographic appearance of some rare diffuse liver diseases is not well known. However, there are some typical sonomorphological signs that, once identified, can facilitate the differentiation between various diseases. The aim of this paper is to highlight some typical ultrasound findings of liver parenchyma and perihepatic lymph node structures in rare diffuse liver diseases based on a review of published data.

Mixed-methods examination of attitudes and behaviors related to COVID-19 vaccines among parents of children with autism and autistic adults.

Increased risks associated with Coronavirus disease 2019 (COVID-19) among individuals with autism spectrum disorder (ASD) combined with previous reports of heightened vaccine hesitancy among parents of children with ASD indicate the need for a better understanding of attitudes and behaviors related to COVID-19 vaccines among the ASD community. This study is the first to our knowledge to use a mixed-methods approach to understand attitudes toward COVID-19 vaccines among parents of children with ASD and autistic adults. Participants were 135 members of the ASD community residing in the state of Arizona (99 parents of children with ASD and 36 autistic adults) who responded to the third (Spring 2021) and fourth (Summer 2021) time points of a larger longitudinal online survey. Quantitative findings indicated that autistic adults had slightly more favorable attitudes toward COVID-19 vaccines than parents, and attitudes in both subsamples became more positive over time. However, both parents and autistic adults reported COVID-19 vaccine uptake that was consistent with or better than the general population at both time points. Thematic analysis of responses to open-ended questions identified five themes that characterized factors that contributed to participants' decisions about COVID-19 vaccinations, including: (1) Desiring a Return to Normalcy, (2) Protection of Self and Others, (3) Previous Experience with COVID-19 (4) Science and Medical Professionals,and (5) Skepticism Regarding Safety, Effectiveness, and Need. Current findings combined with emerging literature paint a relatively optimistic picture about COVID-19 vaccine acceptance in the ASD community.

The peripheral epigenome predicts white matter volume contingent on developmental stage: An ECHO study.

Epigenetic processes, including DNA methylation, are emerging as key areas of interest for their potential roles as biomarkers and contributors to the risk of neurodevelopmental, psychiatric, and other brain-based disorders. Despite this growing focus, there remains a notable gap in our understanding of how DNA methylation correlates with individual variations in brain function and structure. Additionally, the dynamics of these relationships during developmental periods, which are critical windows during which many disorders first appear, are still largely unexplored. The current study extends the field by examining if peripheral DNA methylation of myelination-related genes predicts white matter volume in a healthy pediatric population [N = 250; females = 113; age range 2 months-14 years; Mage = 5.14, SDage = 3.60]. We assessed if DNA methylation of 17 myelin-related genes predict white matter volume and if age moderates these relationships. Results highlight low variability in myelin-related epigenetic variance at birth, which rapidly increases non-linearly with age, and that DNA methylation, measured at both the level of a CpG site or gene, is highly predictive of white matter volume, in early childhood but not late childhood. These novel findings propel the field forward by establishing that DNA methylation of myelin-related genes from a peripheral tissue is a predictive marker of white matter volume in children and is influenced by developmental stage. The research underscores the significance of peripheral epigenetic patterns as a proxy for investigating the effects of environmental factors, behaviors, and disorders associated with white matter.

App-based meditation habits maintain reductions in depression symptoms among autistic adults.

LAY ABSTRACT: Existing research has identified an increased risk of depression among autistic adults, which can negatively impact their adaptive functioning abilities and socioeconomic outcomes. Mobile app-based meditation is a feasible, accessible, and effective self-care solution for depression among neurotypical adults, but there is limited evidence for the long-term benefits of app-based meditation among autistic adults. Habits are a key behavioral strategy for maintaining behavior change, and anchoring is one effective habit formation intervention that has yet to be tested among autistic adults. This study demonstrates that it is both feasible and effective to integrate the anchoring habit formation strategy into an app-based meditation intervention for establishing meditation habits among autistic adults. In addition, the study shows that app-based meditation habits were successful at maintaining reductions in depressive symptoms over 6 months. These results demonstrate the power of anchoring-based habit formation interventions for establishing healthy habits among autistic adults, which offers a promising behavioral intervention technique for establishing other healthy habits among autistic adults. The study also shows that app-based meditation habits are an effective long-term self-care solution for managing depressive symptoms among autistic adults that should be used by mental health providers and policymakers. Future research should test this combined anchoring and app-based meditation intervention technique among larger samples of autistic adults and over longer durations to better understand the mechanisms underlying the success of this intervention.

Precision Medicine as a New Frontier in Speech-Language Pathology: How Applying Insights From Behavior Genomics Can Improve Outcomes in Communication Disorders.

PURPOSE: Precision medicine is an emerging intervention paradigm that leverages knowledge of risk factors such as genotypes, lifestyle, and environment toward proactive and personalized interventions. Regarding genetic risk factors, examples of interventions informed by the field of medical genomics are pharmacological interventions tailored to an individual's genotype and anticipatory guidance for children whose hearing impairment is predicted to be progressive. Here, we show how principles of precision medicine and insights from behavior genomics have relevance for novel management strategies of behaviorally expressed disorders, especially disorders of spoken language. METHOD: This tutorial presents an overview of precision medicine, medical genomics, and behavior genomics; case examples of improved outcomes; and strategic goals toward enhancing clinical practice. RESULTS: Speech-language pathologists (SLPs) see individuals with various communication disorders due to genetic variants. Ways of using insights from behavior genomics and implementing principles of precision medicine include recognizing early signs of undiagnosed genetic disorders in an individual's communication patterns, making appropriate referrals to genetics professionals, and incorporating genetic findings into management plans. Patients benefit from a genetics diagnosis by gaining a deeper and more prognostic understanding of their condition, obtaining more precisely targeted interventions, and learning about their recurrence risks. CONCLUSIONS: SLPs can achieve improved outcomes by expanding their purview to include genetics. To drive this new interdisciplinary framework forward, goals should include systematic training in clinical genetics for SLPs, enhanced understanding of genotype-phenotype associations, leveraging insights from animal models, optimizing interprofessional team efforts, and developing novel proactive and personalized interventions.

High serum androstenedione levels correlate with impaired memory in the surgically menopausal rat: a replication and new findings.

After natural menopause in women, androstenedione becomes the primary hormone secreted by the residual follicle-depleted ovaries. In two independent studies, in rodents that had undergone ovarian follicular depletion, we found that higher endogenous serum androstenedione levels correlated with increased working memory errors. This led to the hypothesis that higher androstenedione levels impair memory. The current study directly tested this hypothesis, examining the cognitive effects of exogenous androstenedione administration in rodents. Middle-aged ovariectomised rats received vehicle or one of two doses of androstenedione. Rats were tested on a spatial working and reference memory maze battery including the water-radial arm maze, Morris water maze (MM) and delay match-to-sample task. Androstenedione at the highest dose impaired reference memory as well as the ability to maintain performance as memory demand was elevated. This was true for both high temporal demand memory retention of one item of spatial information, as well as the ability to handle multiple items of spatial working memory information. We measured glutamic acid decarboxylase (GAD) protein in multiple brain regions to determine whether the gamma-aminobutyric acid (GABA) system relates to androstenedione-induced memory impairments. Results showed that higher entorhinal cortex GAD levels were correlated with worse MM performance, irrespective of androstenedione treatment. These findings suggest that androstenedione, the main hormone produced by the follicle-depleted ovary, is detrimental to working memory, reference memory and memory retention. Furthermore, while spatial reference memory performance might be related to the GABAergic system, it does not appear to be altered with androstenedione administration, at least at the doses used in the current study.

Continuous estrone treatment impairs spatial memory and does not impact number of basal forebrain cholinergic neurons in the surgically menopausal middle-aged rat.

CEE (conjugated equine estrogens) is the most widely prescribed estrogen-only menopausal hormone therapy in the United States, and is comprised of over 50% estrone (E1) sulfate. Following CEE administration, E1 is the principal circulating estrogen. However, the cognitive and neurobiological effects of E1 in a middle-aged rodent model have not yet been evaluated. We assessed cognitive effects of continuous E1 treatment in middle-aged surgically menopausal rats using a maze battery. We also quantified number of choline acetyltransferase-immunoreactive (ChAT-IR) neurons in distinct basal forebrain regions known in earlier studies in to be impacted by the most potent naturally-circulating estrogen in rodents and women, 17ß-estradiol (17ß-E2), as well as CEE. On the spatial working memory delayed-match-to-sample water maze, the highest E1 dose impaired memory performance during acquisition and after delay challenge. E1 did not impact ChAT-IR neuron number in the medial septum (MS) or horizontal/vertical diagonal bands. In a comparison study, 17ß-E2 increased MS ChAT-IR neuron number. Findings indicate that E1 negatively impacts spatial working memory and memory retention, and does not increase ChAT-IR neuron number in basal forebrain, as does 17ß-E2. Thus, data from prior studies suggest that 17ß-E2 and CEE can enhance cognition and increase number of ChAT-IR basal forebrain neurons, while here we show that E1 does not induce these effects. Findings from preclinical basic science studies can inform the design of specific combinations of estrogens that could be beneficial to the brain and cognition. Accumulating data suggest that E1 is not likely to be among these key beneficial estrogens.

An odd lump in the oesophagus - diagnostic and therapeutic approach?

A 60-year-old woman initially presented with a history of mild haematemesis. The patient denied any dysphagia, weight loss, or fever, intake of non-steroidal anti-inflammatory drugs or excessive alcohol consumption. She did not have abdominal pain and had not observed blood in her stools or melaena. At upper endoscopy, a potential source of bleeding could not be detected, but a subepithelial mass in the mid-oesophagus was revealed. The diagnostic and therapeutic approach to subepithelial oesophageal lesions is discussed.

Biliary papillomatosis and new ultrasound imaging modalities.

Biliary papillomatosis (BP) is a rare disorder of the biliary tract with a significant risk of malignant transformation and a high recurrence rate after operation due to the diffuse distribution of the disease. Preoperative diagnosis is difficult also by reason of the low sensitivity and specificity of conventional ultrasound (US), computed tomography (CT), magnetic resonance imaging (MRI), endoscopic retrograde cholangiography (ERC) and positron emission tomography (PET). Therefore, the introduction of new diagnostic imaging methods is of importance to improve the preoperative diagnosis of this originally as benign described disease which is reflected in the term of "benign papillomatosis of the biliary tree". The present review summarizes the literature and discusses new sonographic imaging techniques including contrast-enhanced ultrasound (CEUS), contrast-enhanced low mechanical endoscopic ultrasound (CELMI-EUS) and endoscopic ultrasound elastography.

Resting-State Functional Connectivity Differences in College Students with and without Food Insecurity.

We used functional magnetic resonance imaging (fMRI) to investigate cross-sectional differences in functional connectivity across cognitive networks at rest among age and sex matched college students with very low food security [food insecurity (FI); n = 20] and with high food security (n = 20). The participants completed the Behavior Rating Inventory of Executive Function-2 (BRIEF-2) and Adverse Childhood Experiences (ACEs) questionnaires. Seven-minute resting-state fMRI scans were collected. Independent Component Analysis assessed group connectivity differences in three large-scale networks: the default-mode network (DMN), the frontoparietal network (FPN), and the salience network (SN). FI was associated with poorer Global BRIEF scores (adjusted ß = 8.36; 95% CI: 2.32, 14.40) and five BRIEF subscales: Inhibit, Initiate, Working Memory, Plan, and Organize (p-values < 0.05). The students with FI had greater functional connectivity between the FPN and left middle temporal gyrus (cluster size p-FWE = 0.029), the SN and precuneus (cluster size p-FWE < 0.001), and the SN and right middle frontal gyrus (cluster size p-FWE = 0.016) compared to the students with high food security. Exploratory correlations revealed that greater connectivity between the SN and right middle frontal gyrus was associated with poorer BRIEF Inhibit scores (p = 0.038), and greater connectivity between the FPN and left middle temporal gyrus was associated with poorer BRIEF Organize scores (p = 0.024) for the students with FI. Greater functional connectivity between the FPN, DMN, and SN at rest may contribute to executive function difficulties for college students with FI.

A qualitative examination of the impact of the COVID-19 pandemic on children and adolescents with autism and their parents.

BACKGROUND: The unprecedented challenges introduced by the Coronavirus disease 2019 (COVID-19) pandemic may be amplified for children with autism spectrum disorder (ASD) and their families. AIMS: The current study aimed to describe the experiences of children with ASD and their families during the pandemic and to identify the needs of this community during emergency situations. METHODS AND PROCEDURES: Participants were 122 parents of 122 children and adolescents (aged 3-18 years; one parent per family participated) with ASD living in Arizona, USA who participated in the first time point (July/August 2020) of a larger longitudinal survey study. A qualitative approach based in grounded theory methodology was used to analyze six open-ended survey questions. OUTCOMES AND RESULTS: The resulting conceptual model included a core category, Longing for Stability, and four main categories: Public Health Measures Yielding New Challenges and Unexpected Gains, Experiencing Abrupt Changes across Developmental Domains, Changing Family Dynamics, and Protective Factors. CONCLUSIONS: Findings add to limited research examining whether, and how, emergency events uniquely impact the ASD community, identifying potential methods by which services can be proactively adapted to best support the needs of children with ASD.

Preliminary findings of accelerated visual memory decline and baseline brain correlates in middle-age and older adults with autism: The case for hippocampal free-water.

Research aimed at understanding cognitive and brain aging in adults with autism spectrum disorder (ASD) is growing, but critical longitudinal work is scant. Adults with ASD struggle with tasks involving visual memory compared with neurotypical adults (NT). This may be related to differences in size or integrity of the hippocampus and its' primary structural connectivity pathway, the fornix. The aim of this study was to describe preliminary findings of longitudinal aging trajectories in short- and long-term visual memory abilities in middle-age and older adults with ASD, compared with matched NT adults. We then evaluated baseline multi-modal imaging metrics of the hippocampal system, including the relatively novel metric of free-water, as potential correlates of longitudinal memory change in the ASD group. Middle-age and older adults with ASD (n = 25) and matched NT adults (n = 25) between the ages of 40 and 70 years were followed longitudinally at ~2-year intervals (range 2-5 years). Participants completed the Wechsler Memory Scale III Visual Reproduction task. Longitudinal mixed models were utilized to detect group differences in memory change with baseline age and sex as covariates. Hippocampal volume was measured via T1-weighted MRI images with FreeSurfer. Fornix fractional anisotropy and hippocampal and fornix free-water were measured from diffusion tensor imaging scans. Exploratory correlations were run between individual hippocampal system metrics and longitudinal slopes of visual memory change. There was a significant group by time interaction for long-term visual memory, such that middle-age and older adults with ASD declined faster than matched NT adults. There was no group by time interaction for short-term visual memory. Baseline hippocampal free-water was the only hippocampal system metric that correlated with long-term visual memory change in the ASD group. As one of the first longitudinal cognitive and brain aging studies in middle-age and older adults with ASD, our findings suggest vulnerabilities for accelerated long-term visual memory decline, compared to matched NT adults. Further, baseline hippocampal free-water may be a predictor of visual memory change in middle-age and older adults with ASD. These preliminary findings lay the groundwork for future prognostic applications of MRI for cognitive aging in middle-age and older adults with ASD.

Integrating Multimodal and Longitudinal Neuroimaging Data with Multi-Source Network Representation Learning.

Uncovering the complex network of the brain is of great interest to the field of neuroimaging. Mining from these rich datasets, scientists try to unveil the fundamental biological mechanisms in the human brain. However, neuroimaging data collected for constructing brain networks is generally costly, and thus extracting useful information from a limited sample size of brain networks is demanding. Currently, there are two common trends in neuroimaging data collection that could be exploited to gain more information: 1) multimodal data, and 2) longitudinal data. It has been shown that these two types of data provide complementary information. Nonetheless, it is challenging to learn brain network representations that can simultaneously capture network properties from multimodal as well as longitudinal datasets. Here we propose a general fusion framework for multi-source learning of brain networks - multimodal brain network fusion with longitudinal coupling (MMLC). In our framework, three layers of information are considered, including cross-sectional similarity, multimodal coupling, and longitudinal consistency. Specifically, we jointly factorize multimodal networks and construct a rotation-based constraint to couple network variance across time. We also adopt the consensus factorization as the group consistent pattern. Using two publicly available brain imaging datasets, we demonstrate that MMLC may better predict psychometric scores than some other state-of-the-art brain network representation learning algorithms. Additionally, the discovered significant brain regions are synergistic with previous literature. Our new approach may boost statistical power and sheds new light on neuroimaging network biomarkers for future psychometric prediction research by integrating longitudinal and multimodal neuroimaging data.