Differences in frontotemporal dysfunction during social and non-social cognition tasks between patients with autism spectrum disorder and schizophrenia

Hirata, Keiko; Egashira, Kazuteru; Harada, Kazuaki; Nakashima, Mami; Hirotsu, Masako; Isomura, Shinji; Watanuki, Toshio; Matsubara, Takehiro; Kaku, Yoichi; Kaneyuki, Hiroshi; Watanabe, Yoshifumi; Matsuo, Koji

doi:10.1038/s41598-018-21379-w

Cited by 30 publications

(42 citation statements)

References 55 publications

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“…27 Compared to healthy persons, the patients with ASD showed decreased HbO activity in the bilateral frontotemporal region, which was also a di®erent response from that of SZ patients. 28 In addition to the lateral frontopolar cortex activation that is observed in healthy persons, the medial frontopolar cortex of highfunctioning ASD patients also exhibited activation, thereby demonstrating the compensation mechanism of an impaired brain. 29…”

Section: Verbal°uency Taskmentioning

confidence: 89%

“…ASD patients in general and speci¯cally those who paid a higher level of attention to details exhibited impaired cortical activity in the left frontotemporal region. 28…”

Section: Emotional Facial Recognition Taskmentioning

confidence: 99%

“…180 In multiple studies conducted on SZ patients along with other depressive patients, the hemodynamic responses di®ered, thereby allowing for the di®erentiation of SZ patients and their levels of depression. 28,113,118,133,[181][182][183] Clinically stable SZ patients exhibited a correlation between the activation in the right ventrolateral prefrontal and temporal areas and the cognitive insight, and that between the activation in the frontopolar, left ventrolateral, and bilateral dorsolateral prefrontal areas and their subjective well-being. 184,185 Studying SZ patients revealed that their impaired thinking was associated with abnormal activation patterns in the left ventrolateral prefrontal area.…”

Section: Verbal°uency Taskmentioning

confidence: 99%

“…96,97,109 The headgears/caps are also provided by the system manufacturers, therefore, in most cases, these headgears/caps are used to place and hold the optodes at a¯xed distance of 3 cm. [28][29][30][31][32][33][34]121,[194][195][196][197][198][199]224,241,242 It is recommended to use a channel separation of 2 cm for children and infants due to smaller head size and the resulting reduced width between super¯cial layers. 23,42,167,294…”

Section: Channel Localizationmentioning

confidence: 99%

“…96,191,208,209 The cortical activations in response to VFTs in a hybrid population comprising of patients a®ected by multiple diseases were used to di®erentiate patients of one disease from another as well as to generate information of the disease severity. 28,113,116,118,125,179,[181][182][183] Di®erent working memory tasks have been used to perceive the neuronal activations associated with various diseases using multiple task loads. 52,200,232 Various studies involving electric and magnetic stimulations have been conducted and have described the e®ects of stimulation during rehabilitation therapy on hemodynamic responses, thereby demonstrating the ben-e¯cial nature of fNIRS.…”

Section: Tasks For Fnirs Signalsmentioning

confidence: 99%

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Application of functional near-infrared spectroscopy in the healthcare industry: A review

Hong

Yaqub

2019

J. Innov. Opt. Health Sci.

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Functional near-infrared spectroscopy (fNIRS), a growing neuroimaging modality, has been utilized over the past few decades to understand the neuronal behavior in the brain. The technique has been used to assess the brain hemodynamics of impaired cohorts as well as able-bodied. Neuroimaging is a critical technique for patients with impaired cognitive or motor behaviors. The portable nature of the fNIRS system is suitable for frequent monitoring of the patients who exhibit impaired brain activity. This study comprehensively reviews brain-impaired patients: The studies involving patient populations and the diseases discussed in more than 10 works are included. Eleven diseases examined in this paper include autism spectrum disorder, attention-deficit hyperactivity disorder, epilepsy, depressive disorders, anxiety and panic disorder, schizophrenia, mild cognitive impairment, Alzheimer’s disease, Parkinson’s disease, stroke, and traumatic brain injury. For each disease, the tasks used for examination, fNIRS variables, and significant findings on the impairment are discussed. The channel configurations and the regions of interest are also outlined. Detecting the occurrence of symptoms at an earlier stage is vital for better rehabilitation and faster recovery. This paper illustrates the usability of fNIRS for early detection of impairment and the usefulness in monitoring the rehabilitation process. Finally, the limitations of the current fNIRS systems (i.e., nonexistence of a standard method and the lack of well-established features for classification) and future research directions are discussed. The authors hope that the findings in this paper would lead to advanced breakthrough discoveries in the fNIRS field in the future.

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Section: Verbal°uency Taskmentioning

confidence: 89%

“…ASD patients in general and speci¯cally those who paid a higher level of attention to details exhibited impaired cortical activity in the left frontotemporal region. 28…”

Section: Emotional Facial Recognition Taskmentioning

confidence: 99%

Section: Verbal°uency Taskmentioning

confidence: 99%

Section: Channel Localizationmentioning

confidence: 99%

Section: Tasks For Fnirs Signalsmentioning

confidence: 99%

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Application of functional near-infrared spectroscopy in the healthcare industry: A review

Hong

Yaqub

2019

J. Innov. Opt. Health Sci.

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Social Cognitive Performance in Schizophrenia Spectrum Disorders Compared With Autism Spectrum Disorder

et al. 2021

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IMPORTANCE Schizophrenia spectrum disorders (SSDs) and autism spectrum disorder (ASD) both feature social cognitive deficits; however, these disorders historically have been examined separately using a range of tests and subdomain focus and at different time points in the life span. Moving beyond diagnostic categories and characterizing social cognitive deficits can enhance understanding of shared pathways across these disorders.OBJECTIVE To investigate how deficits in social cognitive domains diverge or overlap between SSDs and ASD based on the extant literature.

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Autism spectrum disorder and schizophrenia: An updated conceptual review

2021

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Autism spectrum disorder (ASD) and schizophrenia (SCZ) are separate disorders, with distinct clinical profiles and natural histories. ASD, typically diagnosed in childhood, is characterized by restricted or repetitive interests or behaviors and impaired social communication, and it tends to have a stable course. SCZ, typically diagnosed in adolescence or adulthood, is characterized by hallucinations and delusions, and tends to be associated with declining function. However, youth with ASD are three to six times more likely to develop SCZ than their neurotypical counterparts, and increasingly, research has shown that ASD and SCZ converge at several levels. We conducted a systematic review of studies since 2013 relevant to understanding this convergence, and present here a narrative synthesis of key findings, which we have organized into four broad categories: symptoms and behavior, perception and cognition, biomarkers, and genetic and environmental risk. We then discuss opportunities for future research into the phenomenology and neurobiology of overlap between ASD and SCZ. Understanding this overlap will allow for researchers, and eventually clinicians, to understand the factors that may make a child with ASD vulnerable to developing SCZ. Lay Summary Autism spectrum disorder and schizophrenia are distinct diagnoses, but people with autism and people with schizophrena share several characteristics. We review recent studies that have examined these areas of overlap, and discuss the kinds of studies we will need to better understand how these disorders are related. Understanding this will be important to help us identify which autistic children are at risk of developing schizophrenia.

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Differences in frontotemporal dysfunction during social and non-social cognition tasks between patients with autism spectrum disorder and schizophrenia

Cited by 30 publications

References 55 publications

Application of functional near-infrared spectroscopy in the healthcare industry: A review

Application of functional near-infrared spectroscopy in the healthcare industry: A review

Social Cognitive Performance in Schizophrenia Spectrum Disorders Compared With Autism Spectrum Disorder

Autism spectrum disorder and schizophrenia: An updated conceptual review

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