Literature DB >> 29883733

Cortical volume and sex influence visual gamma.

Stan van Pelt1, Elena Shumskaya2, Pascal Fries3.   

Abstract

Visually induced gamma-band activity (GBA) has been implicated in several central cognitive functions, in particular perceptual binding, the feedforward routing of attended stimulus information and memory encoding. Several studies have documented that the strength and frequency of GBA are influenced by both subject-intrinsic factors like age, and subject-extrinsic factors such as stimulus contrast. Here, we investigated the relative contributions of previously tested factors, additional factors, and their interactions, in a cohort of 158 subjects recorded with magnetoencephalography (MEG). In agreement with previous studies, we found that gamma strength and gamma peak frequency increase with stimulus contrast and stimulus velocity. Also in confirmation of previous findings, we report that gamma peak frequency declines with subject age. In addition, we found that gamma peak frequency is higher for subjects with thicker occipital cortex, but lower for larger occipital cortices. Also, gamma peak frequency is higher in female than male subjects. Extrinsic factors (stimulus contrast and velocity) and intrinsic factors (age, cortical thickness and sex) together explained 21% of the variance in gamma peak frequency and 20% of the variance in gamma strength. These results can contribute to our understanding of the mechanisms, by which gamma is generated, and the mechanisms, through which it affects the cognitive performance of a given individual subject.
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 29883733      PMCID: PMC6234317          DOI: 10.1016/j.neuroimage.2018.06.005

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  9 in total

1.  Human visual gamma for color stimuli.

Authors:  Benjamin J Stauch; Alina Peter; Isabelle Ehrlich; Zora Nolte; Pascal Fries
Journal:  Elife       Date:  2022-05-09       Impact factor: 8.713

2.  Local cortical thickness predicts somatosensory gamma oscillations and sensory gating: A multimodal approach.

Authors:  Amy L Proskovec; Rachel K Spooner; Alex I Wiesman; Tony W Wilson
Journal:  Neuroimage       Date:  2020-03-19       Impact factor: 6.556

3.  Potential of on-scalp MEG: Robust detection of human visual gamma-band responses.

Authors:  Joonas Iivanainen; Rasmus Zetter; Lauri Parkkonen
Journal:  Hum Brain Mapp       Date:  2019-10-01       Impact factor: 5.038

4.  Gamma oscillations weaken with age in healthy elderly in human EEG.

Authors:  Dinavahi V P S Murty; Keerthana Manikandan; Wupadrasta Santosh Kumar; Ranjini Garani Ramesh; Simran Purokayastha; Mahendra Javali; Naren Prahalada Rao; Supratim Ray
Journal:  Neuroimage       Date:  2020-04-07       Impact factor: 6.556

5.  Additive effect of contrast and velocity suggests the role of strong excitatory drive in suppression of visual gamma response.

Authors:  Elena V Orekhova; Andrey O Prokofyev; Anastasia Yu Nikolaeva; Justin F Schneiderman; Tatiana A Stroganova
Journal:  PLoS One       Date:  2020-02-13       Impact factor: 3.240

6.  Visual gamma oscillations predict sensory sensitivity in females as they do in males.

Authors:  Viktoriya O Manyukhina; Ekaterina N Rostovtseva; Andrey O Prokofyev; Tatiana S Obukhova; Justin F Schneiderman; Tatiana A Stroganova; Elena V Orekhova
Journal:  Sci Rep       Date:  2021-06-08       Impact factor: 4.379

7.  Brain rhythms define distinct interaction networks with differential dependence on anatomy.

Authors:  Julien Vezoli; Martin Vinck; Conrado Arturo Bosman; André Moraes Bastos; Christopher Murphy Lewis; Henry Kennedy; Pascal Fries
Journal:  Neuron       Date:  2021-10-20       Impact factor: 17.173

8.  Auditory driven gamma synchrony is associated with cortical thickness in widespread cortical areas.

Authors:  Anna-Lisa Schuler; Giulio Ferrazzi; Nigel Colenbier; Giorgio Arcara; Francesco Piccione; Florinda Ferreri; Daniele Marinazzo; Giovanni Pellegrino
Journal:  Neuroimage       Date:  2022-04-04       Impact factor: 7.400

9.  Age- and gender-specific characteristics of the resting-state brain activity: a magnetoencephalography study.

Authors:  Hideyuki Hoshi; Yoshihito Shigihara
Journal:  Aging (Albany NY)       Date:  2020-11-04       Impact factor: 5.682

  9 in total

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