Impaired nonverbal working memory in high-functioning autism spectrum disorder

Rabiee, Atusa; Vasaghi‐Gharamaleki, Behnoosh; Samadi, Sayyed Ali; Amiri-Shavaki, Younes; Alaghbandrad, J; Seyedin, Saba; Marzieh, Hosseini, S.

doi:10.14196/mjiri.32.107

“…These changes in synchrony are important not only for understanding the mechanism of the underlying pathology, but also as a potential non-invasive biological diagnostic ( Gandal et al, 2012 ), which may be detectable early in the disease process, and for developing treatments ( Strüber and Herrmann, 2020 ). As a core cognitive function, the impairment of WM appears in many different disorders including schizophrenia ( Park and Holzman, 1992 ; Goldman-Rakic, 1994 ; Roitman et al, 2000 ; Peled et al, 2001 ; Kim et al, 2003 ; Micheloyannis et al, 2006 ; Basar-Eroglu et al, 2007 ; Haenschel et al, 2007 , 2009 ; Badcock et al, 2008 ; Pachou et al, 2008 ; Barr et al, 2010 , 2017 ; Griesmayr et al, 2014 ; Lett et al, 2014 ; Wu et al, 2014 ; Pinal et al, 2015 ; Senkowski and Gallinat, 2015 ; Van Snellenberg et al, 2016 ; Kang et al, 2018 ; Ma et al, 2018 ; Appaji et al, 2020 ; Murphy N. et al, 2020 ), bipolar disorder ( Wu et al, 2014 ; Appaji et al, 2020 ), autism spectrum disorder ( Bangel et al, 2014 ; Rabiee et al, 2018 ), Parkinson’s disease ( Siegert et al, 2008 ; Cools and D’Esposito, 2011 ; Zhao et al, 2018 ; Harrington et al, 2020 ), psychosis ( Gold et al, 2019 ), Attention-deficit/hyperactivity disorder (ADHD; Martinussen et al, 2005 ; Wolf et al, 2009 ; Matt Alderson et al, 2013 ; Bédard et al, 2014 ; Wu et al, 2017 ; Zammit et al, 2018 ; Jang et al, 2020 ), and depression ( Shan et al, 2018 ). The role of synchronized oscillations in different brain disorders has been thoroughly examined elsewhere ( Uhlhaas and Singer, 2006 ), and there is much recent interest in identifying non-invasive and quantitative signatures for different disorders ( Başar, 2013 ; Nimmrich et al, 2015 ; Asllani et al, 2018 ).…”

Section: Dysfunctions In Oscillations and Synchrony During Working Memory Occur In Brain Disordersmentioning

confidence: 99%

“…These changes in synchrony are important not only for understanding the mechanism of the underlying pathology, but also as a potential non-invasive biological diagnostic (Gandal et al, 2012), which may be detectable early in the disease process, and for developing treatments (Strüber and Herrmann, 2020). As a core cognitive function, the impairment of WM appears in many different disorders including schizophrenia (Park and Holzman, 1992;Goldman-Rakic, 1994;Roitman et al, 2000;Peled et al, 2001;Kim et al, 2003;Micheloyannis et al, 2006;Basar-Eroglu et al, 2007;Haenschel et al, 2007Haenschel et al, , 2009Badcock et al, 2008;Pachou et al, 2008;Barr et al, 2010Barr et al, , 2017Griesmayr et al, 2014;Lett et al, 2014;Wu et al, 2014;Pinal et al, 2015;Senkowski and Gallinat, 2015;Van Snellenberg et al, 2016;Kang et al, 2018;Ma et al, 2018;Appaji et al, 2020;, bipolar disorder (Wu et al, 2014;Appaji et al, 2020), autism spectrum disorder (Bangel et al, 2014;Rabiee et al, 2018), Parkinson's disease (Siegert et al, 2008;Cools and D'Esposito, 2011;Zhao et al, 2018;Harrington et al, 2020), psychosis (Gold et al, 2019), Attentiondeficit/hyperactivity disorder (ADHD; Martinussen et al, 2005;Wolf et al, 2009;…”

Section: Dysfunctions In Oscillations and Synchrony During Working Me...mentioning

confidence: 99%

Dependence of Working Memory on Coordinated Activity Across Brain Areas

Rezayat

¹

,

Clark

²

,

Dehaqani

³

et al. 2022

Front. Syst. Neurosci.

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Neural signatures of working memory (WM) have been reported in numerous brain areas, suggesting a distributed neural substrate for memory maintenance. In the current manuscript we provide an updated review of the literature focusing on intracranial neurophysiological recordings during WM in primates. Such signatures of WM include changes in firing rate or local oscillatory power within an area, along with measures of coordinated activity between areas based on synchronization between oscillations. In comparing the ability of various neural signatures in any brain area to predict behavioral performance, we observe that synchrony between areas is more frequently and robustly correlated with WM performance than any of the within-area neural signatures. We further review the evidence for alteration of inter-areal synchrony in brain disorders, consistent with an important role for such synchrony during behavior. Additionally, results of causal studies indicate that manipulating synchrony across areas is especially effective at influencing WM task performance. Each of these lines of research supports the critical role of inter-areal synchrony in WM. Finally, we propose a framework for interactions between prefrontal and sensory areas during WM, incorporating a range of experimental findings and offering an explanation for the observed link between intra-areal measures and WM performance.

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“…While each of these NDDS has some unique behavioral features, they can also share behavioral impairments, such as alterations in social functioning, impulsivity, and executive function deficits [29,[334][335][336][337][338][339][340][341][342][343][344][345][346][347][348][349]. Cognitive/executive function deficits are also common in NDGDS (AD [350,351], PD [352,353], MS [354][355][356][357], ALS [358][359][360][361][362]), as are alterations in social behaviors [363][364][365] and manifestations of impulsive-like behaviors [366][367][368][369][370].…”

Section: Shared Features Of Neurodevelopmental Disorders and Neurodeg...mentioning

confidence: 99%

Air Pollution-Related Brain Metal Dyshomeostasis as a Potential Risk Factor for Neurodevelopmental Disorders and Neurodegenerative Diseases

Cory‐Slechta

¹

,

Sobolewski

²

,

Oberdörster

³

2020

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Increasing evidence links air pollution (AP) exposure to effects on the central nervous system structure and function. Particulate matter AP, especially the ultrafine (nanoparticle) components, can carry numerous metal and trace element contaminants that can reach the brain in utero and after birth. Excess brain exposure to either essential or non-essential elements can result in brain dyshomeostasis, which has been implicated in both neurodevelopmental disorders (NDDs; autism spectrum disorder, schizophrenia, and attention deficit hyperactivity disorder) and neurodegenerative diseases (NDGDs; Alzheimer’s disease, Parkinson’s disease, multiple sclerosis, and amyotrophic lateral sclerosis). This review summarizes the current understanding of the extent to which the inhalational or intranasal instillation of metals reproduces in vivo the shared features of NDDs and NDGDs, including enlarged lateral ventricles, alterations in myelination, glutamatergic dysfunction, neuronal cell death, inflammation, microglial activation, oxidative stress, mitochondrial dysfunction, altered social behaviors, cognitive dysfunction, and impulsivity. Although evidence is limited to date, neuronal cell death, oxidative stress, and mitochondrial dysfunction are reproduced by numerous metals. Understanding the specific contribution of metals/trace elements to this neurotoxicity can guide the development of more realistic animal exposure models of human AP exposure and consequently lead to a more meaningful approach to mechanistic studies, potential intervention strategies, and regulatory requirements.

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“…Meta-cognitive skills such as working memory and planning have been shown to predict social skills in autistic but not NT children ( Leung et al, 2016 ). Behavioral research investigating spatial, verbal, and nonverbal working memory in autistic individuals has shown functional challenges, including reduced accuracy and slower performance (for a meta -analysis, see: Wang et al, 2017 , Rabiee et al, 2018 , Sachse et al, 2013 , Cui et al, 2010 ). Conflicting research, however, has shown intact verbal working memory as measured by n -back letter tasks ( Williams et al, 2005 ) and intact visual working memory as measured by a visual change detection task ( Lynn et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%