Objective frequency analysis of transient visual evoked potentials in autistic children

Abstract

Visual evoked potentials (VEPs) provide a means to examine neural mechanisms in autism with high temporal resolution. Conventional VEP analysis relies on subjective inspection of a few points (peaks and troughs) in the time‐domain waveform. The current study applied power spectral analysis and magnitude‐squared coherence (MSC) statistics (frequency‐domain measures) to VEPs recorded during 1‐minute runs and with a recently developed short‐duration technique that allow for objective examination of the responses (Zemon & Gordon, European Journal of Neuroscience, 2018, 48, 1765–1788) from nonautistic and autistic children. Results indicate that, for both groups, early time‐domain measures (P60, N75, P100) are highly correlated with middle‐ and high‐frequency (14–28 and 30–48 Hz, respectively) mechanisms, and late measures are highly correlated with a low‐frequency (6–12 Hz) mechanism. One frequency‐domain measure (power in the middle‐frequency band) is capable of predicting the key amplitude measure (N75‐P100) with high accuracy. MSC and power measures were combined to yield separate measures of signal and noise strength to evaluate alternate hypotheses in autism. Linear mixed‐effects modeling demonstrated selective differences in early time‐domain and middle‐to‐high frequency‐domain measures in autistic children as compared to nonautistic children given both recording techniques, implicating weaker excitatory input to the cortex. Receiver‐operating‐characteristic curve analysis showed predictive diagnostic accuracy for middle‐ and high‐frequency bands based on MSC. These findings support the value of frequency analysis measures (power spectral analysis and MSC) in the objective examination of neural differences in autism. Lay Summary Visual evoked potentials (VEPs) are used to assess neural mechanisms. Typically, VEPs are analyzed by subjective examination of time‐series waveforms; but here objective techniques were applied to quantify VEP frequency components to investigate neural differences between autistic and nonautistic children. The objective measures demonstrate group differences in brain function that point to weaker excitatory input to the cortex in autism.

Glutamate Dysregulation in Cingulated Cortices Is Associated with Autism Spectrum Disorder Traits

“…The interest in the different resonance magnetic modalities highlights specific brain areas such as the involvement of the ACC, and posterior cingulate cortex (PCC) in ASD symptoms, specifically magnetic resonance spectroscopy which relates cingulated cortices dysfunction to deficits in joint attention and social skills in ASD [13][14][15][16][17][18][19][20][21]. Increasing of these, neuropathology advances [22][23][24][25][26][27], structural MRI [28][29][30][31][32], fMRI [33][34][35][36][37][38][39][40], PET [41,42], and SPECT [43,44], including EEG-evoked potentials [45][46][47][48] indicate the cingulated cortices as one of the most affected areas of the brain responsible for the symptoms of the autism triad mainly [49].…”