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Research ArticleNew Research, Cognition and Behavior

The Variability of Neural Responses to Naturalistic Videos Change with Age and Sex

Agustin Petroni, Samantha S. Cohen, Lei Ai, Nicolas Langer, Simon Henin, Tamara Vanderwal, Michael P. Milham and Lucas C. Parra
eNeuro 12 January 2018, 5 (1) ENEURO.0244-17.2017; DOI: https://doi.org/10.1523/ENEURO.0244-17.2017
Agustin Petroni
1Department of Biomedical Engineering, City College of New York, New York, NY 10031
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Samantha S. Cohen
1Department of Biomedical Engineering, City College of New York, New York, NY 10031
2Department of Psychology, the Graduate Center of the City University of New York, New York, NY 10016
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Lei Ai
3Center for the Developing Brain, Child Mind Institute, New York, NY 10022
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Nicolas Langer
1Department of Biomedical Engineering, City College of New York, New York, NY 10031
3Center for the Developing Brain, Child Mind Institute, New York, NY 10022
4Methods of Plasticity Research, Department of Psychology, University of Zurich, 8050, Switzerland
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Simon Henin
1Department of Biomedical Engineering, City College of New York, New York, NY 10031
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Tamara Vanderwal
5Yale Child Study Center, New Haven, CT 06520
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Michael P. Milham
3Center for the Developing Brain, Child Mind Institute, New York, NY 10022
6Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962
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Lucas C. Parra
1Department of Biomedical Engineering, City College of New York, New York, NY 10031
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  • Figure 1.
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    Figure 1.

    Age and sex distributions for the main study (A) and replication study (B). A, Subjects in the main study (n = 114) had data for all of the stimuli. B, Subjects in the replication study (n = 303) had only three stimuli (Wimpy, Fract, DesMe) and contribute to the results in Fig. 9.

  • Figure 2.
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    Figure 2.

    Neural similarity, measured as the ISC of neural activity, decreased with age. Correlation values ranged from r = –0.58 to r = –0.78, indicating a consistent relationship between maturity and neural variability. ISC was computed for each individual by correlating neural responses from individual subjects with the neural responses from all other subjects for that stimulus (regardless of age and sex).

  • Figure 3.
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    Figure 3.

    ISC, a measure of neural similarity, was consistently higher among younger ages and males. A, Across all stimuli, ISC was higher for younger subjects (6–14 yr, light green) than older subjects (15–44 yr, dark green). B, Across all stimuli, ISC was higher for males (blue) than females (red). For both A and B, ISC was computed separately within each age and sex group. Black lines indicate the median.

  • Figure 4.
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    Figure 4.

    Sex differences in the young do not exist in the old. Young males were more neurally similar to each other than young females. This sex difference is absent in the older group. Here, ISC was computed within each sex and age group separately and averaged across all stimuli except for Flash and Rest. Black lines indicate the median.

  • Figure 5.
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    Figure 5.

    SSVEP magnitude depended on age, but not on sex. A, SSVEP strength was weakly correlated with age across subjects, but it was no different between males and females. B, SSVEP strength was no different between males and females. Black lines indicate the median.

  • Figure 6.
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    Figure 6.

    Relationship between ISC magnitude and SSVEP strength. A, SSVEP strength, a measure of the magnitude of evoked responses, correlated with ISC strength, calculated using all stimuli except for Flash and Rest. B, Comparison of ISC strength after SSVEP magnitude was regressed out (ISC – SSVEP) between males and females in the young and old age groups. Although there was a significant difference between the age groups, a difference between the sex groups was not present. Black line indicates the median.

  • Figure 7.
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    Figure 7.

    Spatial distributions corresponding to the three strongest components of ISC (C1–C3). Red and blue colors indicate positive and negative correlation of the voltages on the scalp surface with the component activity. These maps are unitless due to an arbitrary scale on the projection vectors. Here, the projections have been computed separately for the combination of the two sex and age groups. As the scalp topographies were relatively consistent across the groups, the differences in ISC across these groups were not due to differences in the spatial topography of correlation within the group.

  • Figure 8.
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    Figure 8.

    Eigenvalue spectra of the average covariances for each demographic group. Eigenvalues measure the power of the signal in principal components of the EEG (correlated across time for each stimulus). Each curve is the average eigenvalue spectrum for each group averaged across all stimuli and subjects. A, Young subjects have more power than old subjects in all dimensions. This is represented by the upward shift in their average eigenvalue spectrum. B, The eigenvalue spectrum of females has a shallower slope than that for males, indicating that they have a more diverse set of neural responses.

  • Figure 9.
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    Figure 9.

    The results from the main study replicated in an independent cohort (n = 303). A, ISC decreased with age in the replication cohort. ISC was computed for each individual by correlating responses from individual subjects to those from all other subjects (regardless of age and sex) for that stimulus. Correlation values ranged from r = –0.37 to r = –0.44. Note that for every stimulus, a different number of subjects was available. B, Across all stimuli, ISC was higher for younger subjects (6–14 yr, light green) than it was for older subjects (15–44 yr, dark green) in the replication cohort. For consistency, the split between the ages was consistent between this study and the main study. C, Across all stimuli, ISC was higher for males (blue) than females (red) in the replication cohort. For both B and C, ISC was computed separately within each age and sex group. Black lines indicate the median. D, Sex differences in the young disappeared with age in the replication cohort. Young males were more neurally similar to each other than young females, and this sex difference was absent in the older group. Here, ISC was computed within each sex and age group separately and averaged across all stimuli used in the replication cohort. Black lines indicate the median.

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The Variability of Neural Responses to Naturalistic Videos Change with Age and Sex
Agustin Petroni, Samantha S. Cohen, Lei Ai, Nicolas Langer, Simon Henin, Tamara Vanderwal, Michael P. Milham, Lucas C. Parra
eNeuro 12 January 2018, 5 (1) ENEURO.0244-17.2017; DOI: 10.1523/ENEURO.0244-17.2017

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The Variability of Neural Responses to Naturalistic Videos Change with Age and Sex
Agustin Petroni, Samantha S. Cohen, Lei Ai, Nicolas Langer, Simon Henin, Tamara Vanderwal, Michael P. Milham, Lucas C. Parra
eNeuro 12 January 2018, 5 (1) ENEURO.0244-17.2017; DOI: 10.1523/ENEURO.0244-17.2017
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Keywords

  • development
  • EEG
  • evoked responses
  • inter-subject correlation
  • naturalistic stimuli

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