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1.
J Vis Exp ; (187)2022 09 07.
Article in English | MEDLINE | ID: mdl-36155408

ABSTRACT

This paper examines the application of electroencephalogram-based methods to assess the effects of audio-tactile substitution training in young, profoundly deaf (PD) participants, with the aim of analyzing the neural mechanisms associated with vibrotactile complex sound discrimination. Electrical brain activity reflects dynamic neural changes, and the temporal precision of event-related potentials (ERPs) has proven to be key in studying time-locked processes while performing behavioral tasks that involve attention and working memory. The current protocol was designed to study electrophysiological activity in PD subjects while they performed a continuous performance task (CPT) using complex-sound stimuli, consisting of five different animal sounds delivered through a portable stimulator system worn on the right index finger. As a repeated-measures design, electroencephalogram (EEG) recordings in standard conditions were performed before and after a brief training program (five 1 h sessions over 15 days), followed by offline artifact correction and epoch averaging, to obtain individual and grand-mean waveforms. Behavioral results show a significant improvement in discrimination and a more robust P3-like centroparietal positive waveform for the target stimuli after training. In this protocol, ERPs contribute to the further understanding of learning-related neural changes in PD subjects associated with audio-tactile discrimination of complex sounds.


Subject(s)
Deafness , Evoked Potentials , Electroencephalography , Evoked Potentials/physiology , Humans , Reaction Time/physiology , Touch/physiology
2.
Int J Psychophysiol ; 166: 71-82, 2021 08.
Article in English | MEDLINE | ID: mdl-34023377

ABSTRACT

Challenges in early oral language acquisition in profoundly deaf individuals have an impact on cognitive neurodevelopment. This has led to the exploration of alternative sound perception methods involving training of vibrotactile discrimination of sounds within the language spectrum. In particular, stimulus duration plays an important role in linguistic categorical perception. We comparatively evaluated vibrotactile temporal discrimination of sound and how specific training can modify the underlying electrical brain activity. Fifteen profoundly deaf (PD) and 15 normal-hearing (NH) subjects performed a vibrotactile oddball task with simultaneous EEG recording, before and after a short training period (5 one-hour sessions; in 2.5-3 weeks). The stimuli consisted of 700 Hz pure-tones with different duration (target: long 500 ms; non-target: short 250 ms). The sound-wave stimuli were delivered by a small device worn on the right index finger. A similar behavioral training effect was observed in both groups showing significant improvement in sound-duration discrimination. However, quantitative EEG measurements reveal distinct neurophysiological patterns characterized by higher and more diffuse delta band magnitudes in the PD group, together with a generalized decrement in absolute power in both groups that might reflect a facilitating process associated to learning. Furthermore, training-related changes were found in the beta-band in NH. Findings suggest PD have different cognitive adaptive mechanisms which are not a mere amplification effect due to greater cortical excitability.


Subject(s)
Auditory Perception , Hearing , Discrimination, Psychological , Electroencephalography , Humans , Sound
3.
Clin Neurophysiol ; 131(10): 2469-2478, 2020 10.
Article in English | MEDLINE | ID: mdl-32858441

ABSTRACT

OBJECTIVE: Type-1 diabetes (T1D) is a disruptive metabolic disease that has an impact on neurodevelopment through its effects on the structure and function of the brain. One of the cognitive domains affected by T1D is sustained attention. The aim of this study was to analyze this process in children with T1D and compare their results to those of healthy controls. METHODS: Seventeen T1D children attending regular primary school and a similar group of healthy children matched by gender, age, handedness, and educational level were evaluated while identifying happy faces in a Go-NoGo task presented visually with simultaneous electrophysiological recording. RESULTS: Behavioral performance in the two groups was similar but, the T1D children showed greater prefrontal and frontoparietal spectral power in the theta and alpha bands, compared to controls. Distinct patterns of theta lateralization between groups were also observed, with a negative correlation between frontal power magnitudes in delta and theta and glycated hemoglobin levels. CONCLUSIONS: These results seem to reflect the early deleterious effects of T1D on neurodevelopment, which affects mainly attention allocation processes and the neurofunctional substrates that underlie them. SIGNIFICANCE: This phenomenon emphasizes the need for studies on neural-specific targets in which T1D affects neurodevelopment.


Subject(s)
Attention/physiology , Brain/physiopathology , Diabetes Mellitus, Type 1/physiopathology , Adolescent , Child , Diabetes Mellitus, Type 1/psychology , Electroencephalography , Female , Humans , Male , Memory, Short-Term/physiology , Neuropsychological Tests , Photic Stimulation
4.
Data Brief ; 21: 1071-1075, 2018 Dec.
Article in English | MEDLINE | ID: mdl-30450402

ABSTRACT

This article presents the data related to the research paper entitled "The analysis of EEG coherence reflects middle childhood differences in mathematical achievement" (González-Garrido et al., 2018). The dataset is derived from the electroencephalographic (EEG) records registered from a total of 60 8-9-years-old children with different math skill levels (High: HA, Average: AA, and Low Achievement: LA) while performing a symbolic magnitude comparison task. The average brain patterns are shown through Time-Frequency Representations (TFR) for each group, and also grand-mean amplitudes within specific EEG epochs in a 19-electrode array are provided. Making this information publicly available for further analyses could significantly contribute to a better understanding on how math achievement in children associates with cognitive processing strategies.

5.
J Neurosci Res ; 96(10): 1699-1706, 2018 10.
Article in English | MEDLINE | ID: mdl-30027655

ABSTRACT

The aim of the study was to evaluate the neurofunctional effect of gender in Type-1 Diabetes Mellitus (T1DM) patients during a Visual Spatial Working Memory (VSWM) task. The study included 28 participants with ages ranging from 17-28 years. Fourteen well-controlled T1DM patients (7 female) and 14 controls matched by age, sex, and education level were scanned performing a block-design VSWM paradigm. Behavioral descriptive analyses and mean comparisons were done, and between-group and condition functional activation patterns were also compared. Whole-brain cumulative BOLD signal (CumBS), voxel-wise BOLD level frequency, Euclidean distance, and divergence indices were also calculated. There were no significant differences between or within-group sex differences for correct responses and reaction times. Functional activation analyses showed that females had activation in more brain regions, and with larger clusters of cortical activations than males. Furthermore, BOLD activation was higher in males. Despite the preliminary nature of the present study given the relatively small sample size, current results acknowledge for the first time that sex might contribute to differences in functional activation in T1DM patients. Findings suggest that sex differences should be considered when studying T1DM-disease development.


Subject(s)
Diabetes Mellitus, Type 1/physiopathology , Diabetes Mellitus, Type 1/psychology , Adolescent , Adult , Brain/physiopathology , Diabetes Mellitus, Type 1/blood , Diabetes Mellitus, Type 1/diagnostic imaging , Female , Humans , Magnetic Resonance Imaging/methods , Male , Memory, Short-Term/physiology , Oxygen/blood , Reaction Time , Sex Factors
6.
Brain Cogn ; 124: 57-63, 2018 07.
Article in English | MEDLINE | ID: mdl-29747149

ABSTRACT

Symbolic numerical magnitude processing is crucial to arithmetic development, and it is thought to be supported by the functional activation of several brain-interconnected structures. In this context, EEG beta oscillations have been recently associated with attention and working memory processing that underlie math achievement. Due to that EEG coherence represents a useful measure of brain functional connectivity, we aimed to contrast the EEG coherence in forty 8-to-9-year-old children with different math skill levels (High: HA, and Low achievement: LA) according to their arithmetic scores in the Fourth Edition of the Wide Range Achievement Test (WRAT-4) while performing a symbolic magnitude comparison task (i.e. determining which of two numbers is numerically larger). The analysis showed significantly greater coherence over the right hemisphere in the two groups, but with a distinctive connectivity pattern. Whereas functional connectivity in the HA group was predominant in parietal areas, especially involving beta frequencies, the LA group showed more extensive frontoparietal relationships, with higher participation of delta, theta and alpha band frequencies, along with a distinct time-frequency domain expression. The results seem to reflect that lower math achievements in children mainly associate with cognitive processing steps beyond stimulus encoding, along with the need of further attentional resources and cognitive control than their peers, suggesting a lower degree of numerical processing automation.


Subject(s)
Achievement , Electroencephalography Phase Synchronization/physiology , Mathematics , Attention/physiology , Brain/physiology , Brain Mapping , Child , Correlation of Data , Female , Humans , Male , Memory, Short-Term/physiology , Nerve Net/physiology , Problem Solving/physiology
7.
Front Hum Neurosci ; 11: 28, 2017.
Article in English | MEDLINE | ID: mdl-28220063

ABSTRACT

Early auditory deprivation has serious neurodevelopmental and cognitive repercussions largely derived from impoverished and delayed language acquisition. These conditions may be associated with early changes in brain connectivity. Vibrotactile stimulation is a sensory substitution method that allows perception and discrimination of sound, and even speech. To clarify the efficacy of this approach, a vibrotactile oddball task with 700 and 900 Hz pure-tones as stimuli [counterbalanced as target (T: 20% of the total) and non-target (NT: 80%)] with simultaneous EEG recording was performed by 14 profoundly deaf and 14 normal-hearing (NH) subjects, before and after a short training period (five 1-h sessions; in 2.5-3 weeks). A small device worn on the right index finger delivered sound-wave stimuli. The training included discrimination of pure tone frequency and duration, and more complex natural sounds. A significant P300 amplitude increase and behavioral improvement was observed in both deaf and normal subjects, with no between group differences. However, a P3 with larger scalp distribution over parietal cortical areas and lateralized to the right was observed in the profoundly deaf. A graph theory analysis showed that brief training significantly increased fronto-central brain connectivity in deaf subjects, but not in NH subjects. Together, ERP tools and graph methods depicted the different functional brain dynamic in deaf and NH individuals, underlying the temporary engagement of the cognitive resources demanded by the task. Our findings showed that the index-fingertip somatosensory mechanoreceptors can discriminate sounds. Further studies are necessary to clarify brain connectivity dynamics associated with the performance of vibrotactile language-related discrimination tasks and the effect of lengthier training programs.

8.
Neuroreport ; 28(3): 174-178, 2017 Feb 08.
Article in English | MEDLINE | ID: mdl-27984540

ABSTRACT

Children with mathematical difficulties usually have an impaired ability to process symbolic representations. Functional MRI methods have suggested that early frontoparietal connectivity can predict mathematic achievements; however, the study of brain connectivity during numerical processing remains unexplored. With the aim of evaluating this in children with different math proficiencies, we selected a sample of 40 children divided into two groups [high achievement (HA) and low achievement (LA)] according to their arithmetic scores in the Wide Range Achievement Test, 4th ed.. Participants performed a symbolic magnitude comparison task (i.e. determining which of two numbers is numerically larger), with simultaneous electrophysiological recording. Partial directed coherence and graph theory methods were used to estimate and depict frontoparietal connectivity in both groups. The behavioral measures showed that children with LA performed significantly slower and less accurately than their peers in the HA group. Significantly higher frontocentral connectivity was found in LA compared with HA; however, when the connectivity analysis was restricted to parietal locations, no relevant group differences were observed. These findings seem to support the notion that LA children require greater memory and attentional efforts to meet task demands, probably affecting early stages of symbolic comparison.


Subject(s)
Achievement , Brain Mapping , Brain/physiology , Electrophysiological Phenomena/physiology , Mathematics , Child , Female , Humans , Male , Reaction Time/physiology
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