Publications by authors named "Marissa DiPiero"

Inhibitory control (IC) develops in stages from infancy through adolescence and is associated with numerous developmental disorders and learning outcomes. This study examined how neural architecture - in particular myelination - underlies brain activation patterns observed during IC tasks in a sample of 28 children aged 4-10 years old. IC was observed using reaction times during go/no-go and flanker IC tasks.

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We and others have demonstrated the resting-state (RS) peak alpha frequency (PAF) as a potential clinical marker for young children with autism spectrum disorder (ASD), with previous studies observing a higher PAF in school-age children with ASD versus typically developing (TD) children, as well as an association between the RS PAF and measures of processing speed in TD but not ASD. The brain mechanisms associated with these findings are unknown. A few studies have found that in children more mature optic radiation white matter is associated with a higher PAF.

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Article Synopsis
  • The early stages of brain development from fetus to infancy are crucial for growth and can influence future neurodevelopmental and psychiatric disorders.
  • Research into the microstructure of gray matter during this period is important for understanding potential challenges in intelligence and behavior later in life.
  • This study employs a refined imaging technique, NODDI GBSS, to analyze and improve the understanding of gray matter development in infants within their first month, uncovering significant relationships in its architecture.
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Background: Autism spectrum disorder (ASD) is a neurodevelopmental condition commonly studied in the context of early childhood. As ASD is a life-long condition, understanding the characteristics of brain microstructure from adolescence into adulthood and associations to clinical features is critical for improving outcomes across the lifespan. In the current work, we utilized Tract Based Spatial Statistics (TBSS) and Gray Matter Based Spatial Statistics (GBSS) to examine the white matter (WM) and gray matter (GM) microstructure in neurotypical (NT) and autistic males.

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  • Research indicates that resting-state alpha brain rhythms are crucial for both basic and complex brain functions.
  • The study observed 47 typically developing boys and 45 boys with autism spectrum disorder, revealing that those with ASD had a higher peak frequency of resting-state alpha activity compared to their TD peers.
  • A higher peak frequency correlated with better cognitive performance in typically developing boys, but not in those with ASD, highlighting different functional impacts of alpha activity between the two groups.
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In a relaxed and awake state with the eyes closed, 8-12 Hz neural oscillations are the dominant rhythm, most prominent in parietal-occipital regions. Resting-state (RS) alpha is associated with processing speed and is also thought to be central to how networks process information. Unfortunately, the RS eyes-closed (EC) exam can only be used with individuals who can remain awake with their eyes closed for an extended period.

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Background: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition. Understanding the brain's microstructure and its relationship to clinical characteristics is important to advance our understanding of the neural supports underlying ASD. In the current work, we implemented Gray-Matter Based Spatial Statistics (GBSS) to examine and characterize cortical microstructure and assess differences between typically developing (TD) and autistic males.

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Diffusion MRI (dMRI) is a widely used method to investigate the microstructure of the brain. Quality control (QC) of dMRI data is an important processing step that is performed prior to analysis using models such as diffusion tensor imaging (DTI) or neurite orientation dispersion and density imaging (NODDI). When processing dMRI data from infants and young children, where intra-scan motion is common, the identification and removal of motion artifacts is of the utmost importance.

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Brain development follows a protracted developmental timeline with foundational processes of neurodevelopment occurring from the third trimester of gestation into the first decade of life. Defining structural maturational patterns of early brain development is a critical step in detecting divergent developmental trajectories associated with neurodevelopmental and psychiatric disorders that arise later in life. While considerable advancements have already been made in diffusion magnetic resonance imaging (dMRI) for pediatric research over the past three decades, the field of neurodevelopment is still in its infancy with remarkable scientific and clinical potential.

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Maturation of auditory cortex neural encoding processes was assessed in children with typical development (TD) and autism. Children 6-9 years old were enrolled at Time 1 (T1), with follow-up data obtained ~ 18 months later at Time 2 (T2), and ~ 36 months later at Time 3 (T3). Findings suggested an initial period of rapid auditory cortex maturation in autism, earlier than TD (prior to and surrounding the T1 exam), followed by a period of faster maturation in TD than autism (T1-T3).

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Article Synopsis
  • Executive function (EF) is crucial for child development, starting early in life and maturing through adolescence, with the prefrontal cortex (PFC) playing a key role in this process.
  • Limitations in existing neuroimaging techniques have hindered research on PFC function in young children, prompting the use of a new multimodal Go/NoGo task combined with functional near-infrared spectroscopy (fNIRS) to assess inhibitory control in children aged 4-10.
  • The study found significant correlations between children's performance on the fNIRS task and established cognitive assessments, indicating that this new approach is effective for investigating prefrontal inhibitory control function in young children.
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Associations between age, resting-state (RS) peak-alpha-frequency (PAF = frequency showing largest amplitude alpha activity), and thalamic volume (thalamus thought to modulate alpha activity) were examined to understand differences in RS alpha activity between children with autism spectrum disorder (ASD) and typically-developing children (TDC) noted in prior studies. RS MEG and structural-MRI data were obtained from 51 ASD and 70 TDC 6- to 18-year-old males. PAF and thalamic volume maturation were observed in TDC but not ASD.

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Background: Neuroimaging research on individuals who have autism spectrum disorder (ASD) has historically been limited primarily to those with age-appropriate cognitive and language performance. Children with limited abilities are frequently excluded from such neuroscience research given anticipated barriers like tolerating the loud sounds associated with magnetic resonance imaging and remaining still during data collection. To better understand brain function across the full range of ASD there is a need to (1) include individuals with limited cognitive and language performance in neuroimaging research (non-sedated, awake) and (2) improve data quality across the performance range.

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Article Synopsis
  • The study focused on identifying functional brain markers, specifically in the auditory cortex, to aid pediatric clinical research on brain abnormalities.
  • Researchers measured auditory evoked fields using magnetoencephalography (MEG) in 15 typically developing children aged 6-8, conducting tests at three different times over three years.
  • Results showed consistent M50 responses across time but highlighted variability in latency changes among individual children, indicating potential challenges in establishing reliable markers for clinical use.
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  • The M50 and M100 auditory evoked responses are key indicators of early auditory processing in the brain's auditory regions.
  • Previous research on individuals with autism spectrum disorder (ASD) has shown disruptions in the encoding of simple sounds, but there is limited understanding of how these auditory processes develop over time from childhood into adulthood.
  • A study using magnetoencephalography examined auditory processing in both children/adolescents and adults with ASD and typically developing (TD) controls, revealing that delayed M50 and M100 latencies in ASD persisted into adulthood, along with a correlation between these latencies and language ability.
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  • * Results showed that while GABA levels and gamma-band activity didn’t change with arbaclofen dosing, some participants had a significant shortening in M50 latency, particularly at a low dose (15 mg).
  • * The findings suggest that M50 latency could be an effective measure of drug engagement and may help identify better candidates for future clinical trials focused on treating ASD with arbaclofen.
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47,XYY syndrome (XYY) is one of the common forms of sex chromosome aneuploidy in males. XYY males tend to have tall stature, early speech, motor delays, social and behavioral challenges, and a high rate of language impairment. Recent studies indicate that 20-40% of males with XYY meet diagnostic criteria for autism spectrum disorder (ASD; the rate in the general population is 1-2%).

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Article Synopsis
  • The study explores how age affects resting-state neural rhythms, specifically the peak alpha frequency (PAF), in typically developing children (TDC) compared to children with autism spectrum disorder (ASD).
  • Significant differences were found, with TDC showing an increase in PAF as they age, while ASD children did not exhibit this change.
  • Notably, the PAF as a potential marker for ASD is more relevant for younger children, highlighting its clinical importance in that age group.
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Studies suggest that individuals with autism spectrum disorder (ASD) exhibit altered electrophysiological alpha to gamma phase-amplitude coupling (PAC). Preliminary reports with small samples report conflicting findings regarding the directionality of the alpha to gamma PAC alterations in ASD. The present study examined resting-state activity throughout the brain in a relatively large sample of 119 children with ASD and 47 typically developing children.

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