Multi-frequency localization of aberrant brain activity in autism spectrum disorder

Xiang, Jing; Korostenskaja, Milena; Molloy, Cynthia A.; deGrauw, Xinyao; Leiken, Kimberly; Gilman, Carley; Meinzen‐Derr, Jareen; Fujiwara, Hisako; Rose, Douglas F.; Mitchell, Terry; Murray, Donna S.

doi:10.1016/j.braindev.2015.04.007

Cited by 12 publications

(12 citation statements)

References 27 publications

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“…In particular, higher power delta wave was observed in ASD in the TL [29]. A previous study on animal (rat) with electrophysiological recordings and resting-state fMRI measurements has demonstrated that the low frequency (i.e.…”

Section: Discussionmentioning

confidence: 79%

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Characterization of autism spectrum disorder with spontaneous hemodynamic activity

Qiu

et al. 2016

Biomed. Opt. Express

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Functional near-infrared spectroscopy (fNIRS) was used to investigate spontaneous hemodynamic activity in the temporal cortex for typically developing (TD) children and children with autism spectrum disorder (ASD). Forty-seven children participated in the experiments including twenty-five with ASD. Compared with TD children, children with ASD showed weaker bilateral resting-state functional connectivity (RSFC), but much stronger fluctuation magnitude in terms of oxy-hemoglobin (HbO 2 ) and deoxy-hemoglobin (Hb). Differentiating between ASD and TD based on a support vector machine (SVM) model including bilateral RSFC and the fluctuation power of HbO 2 and Hb as variables could achieve high accurate classification with sensitivity of 81.6% and specificity of 94.6%. This study demonstrates optical brain imaging has the potential for screening children with risk of ASD.

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Section: Discussionmentioning

confidence: 79%

“…Two recent studies on ASD with magnetoencephalography (MEG) [28,29] revealed that ASD experienced larger power of spontaneous MEG signal in a variety of frequency bands from low frequency delta wave (1-4 Hz) to very high frequency oscillations. In particular, higher power delta wave was observed in ASD in the TL [29].…”

Section: Discussionmentioning

confidence: 99%

Characterization of autism spectrum disorder with spontaneous hemodynamic activity

Qiu

et al. 2016

Biomed. Opt. Express

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“…Communication failures between the dorsal and ventral pathways can harm the visual processing [ 27 ] and a lesion in these areas can lead to visual negligence and spatial distortions of body movements [ 27 ]. Various neurophysiological studies [ 7 , 28 – 30 ] have tried to correlate these clinical symptoms through the demonstration of deficiencies or functional abnormalities of neural networks.…”

Section: Discussionmentioning

confidence: 99%

High-Frequency EEG Variations in Children with Autism Spectrum Disorder during Human Faces Visualization

Paula¹,

Reategui²,

Costa

et al. 2017

BioMed Research International

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Autism spectrum disorder (ASD) is a neuropsychiatric disorder characterized by the impairment in the social reciprocity, interaction/language, and behavior, with stereotypes and signs of sensory function deficits. Electroencephalography (EEG) is a well-established and noninvasive tool for neurophysiological characterization and monitoring of the brain electrical activity, able to identify abnormalities related to frequency range, connectivity, and lateralization of brain functions. This research aims to evidence quantitative differences in the frequency spectrum pattern between EEG signals of children with and without ASD during visualization of human faces in three different expressions: neutral, happy, and angry. Quantitative clinical evaluations, neuropsychological evaluation, and EEG of children with and without ASD were analyzed paired by age and gender. The results showed stronger activation in higher frequencies (above 30 Hz) in frontal, central, parietal, and occipital regions in the ASD group. This pattern of activation may correlate with developmental characteristics in the children with ASD.

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“…For examples, studies with magnetic resonance imaging (MRI) [3] and diffuse tensor imaging (DTI) [4] have demonstrated the difference between ASD patients and normal controls in the cranial capacity and fold degree of the cortex [3]. Brain functional studies with positron emission tomography (PET) [5], functional magnetic resonance imaging (fMRI) [3,6,7], single photon emission computed tomography (SPECT) [8], electroencephalography(EEG) [9,10] and magnetoencephalography (MEG) [11,12] have demonstrated that ASD shows abnormalities in functional connection of the brain. For instance, there is convergent evidence demonstrating that ASD exists weaker remote connection, e.g.…”

Section: Introductionmentioning

confidence: 99%

Power spectrum of spontaneous cerebral homodynamic oscillation shows a distinct pattern in autism spectrum disorder

Cheng

et al. 2019

Biomed. Opt. Express

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Spontaneous hemodynamic fluctuations recorded by functional near-infrared spectroscopy (fNIRS) from bilateral temporal lobes were analyzed on 25 children with autism spectrum disorder (ASD) and 22 typically developing (TD) children. By frequency domain analysis, a new characteristic was uncovered that the power spectrum of low frequency cerebral hemodynamic oscillation showed a distinct pattern in ASD. More specifically, at the frequency of 0.0200 Hz, the power of oxygenated hemoglobin was larger for TD than ASD, whereas in the band of 0.0267-0.0333 Hz, the power of deoxygenated hemoglobin was larger for ASD than TD. Using these new features and those identified previously together as feature variables for the support vector machine (SVM) classifier, accurate classification between ASD and TD was achieved with a sensitivity of 90.2%, specificity of 95.1% and accuracy of 92.7%.

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Multi-frequency localization of aberrant brain activity in autism spectrum disorder

Cited by 12 publications

References 27 publications

Characterization of autism spectrum disorder with spontaneous hemodynamic activity

Characterization of autism spectrum disorder with spontaneous hemodynamic activity

High-Frequency EEG Variations in Children with Autism Spectrum Disorder during Human Faces Visualization

Power spectrum of spontaneous cerebral homodynamic oscillation shows a distinct pattern in autism spectrum disorder

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