Cortical gyrification in relation to age and cognition in older adults

Age-related decrements in cortical gyrification: Evidence from an accelerated longitudinal dataset

“…6). The overall topography, as shown in Figure 5, appears consistent with previously published results (e.g., Schaer et al, 2008; Cao et al, 2017; Lamballais et al, 2020). As discussed in the Introduction section, previous studies have demonstrated age differences in gyrification, but as of yet, this has only been in cross-sectional samples (Cao et al, 2017; Hogstrom et al, 2013; Lamballais et al, 2020; Madan & Kensinger, 2016, 2018; Madan, 2018).…”

“…As initially shown by Zilles et al (1988) and replicated in more recent studies (e.g., Hogstrom et al, 2013; Madan & Kensinger, 2016), gyrification is relatively highest in the parietal and temporal lobes. Several studies have shown that global cortical gyrification decreases with age in several cross-sectional samples (Cao et al, 2017; Hogstrom et al, 2013; Lamballais et al, 2020; Madan & Kensinger, 2016, 2018; Madan, 2018). It has also been shown that the topography of these changes is distinct from cortical thickness, where gyrification primarily decreases in the parietal lobe (e.g., Hogstrom et al, 2013; Madan & Kensinger, 2016, 2018).…”

“…Further demonstrating the utility of gyrification measurements, studies of patient populations have demonstrated differences in gyrification relative to healthy individuals in relation to Alzheimer’s disease (King et al, 2010; Liu et al, 2012), schizophrenia (Cao et al, 2017; Palaniyappan & Liddle, 2012; Palaniyappan et al, 2015), autism (Schaer et al, 2013), and major depression disorder (Cao et al, 2017), among other psychiatric disorders. Within healthy samples, age-related differences in cortical folding structure have also been associated with individual functional differences (e.g., see Lamballais et al, 2020; McDonough & Madan, in press).…”

Age‐related decrements in cortical gyrification: Evidence from an accelerated longitudinal dataset

“…Further demonstrating the utility of gyrification measurements, studies of patient populations have demonstrated differences in gyrification relative to healthy individuals in relation to Alzheimer's disease (King et al., 2010; Liu et al., 2012), schizophrenia (Cao et al., 2017; Palaniyappan & Liddle, 2012; Palaniyappan et al., 2015), autism (Schaer et al., 2013), and major depression disorder (Cao et al., 2017), among other psychiatric disorders. Within healthy samples, age‐related differences in cortical folding structure have also been associated with individual functional differences (e.g., see Lamballais et al., 2020; McDonough & Madan, 2020).…”

Brain structure prior to non-central nervous system cancer diagnosis: A population-based cohort study

“…We have confirmed that several metrics (e.g., cortical thickness) have no significant correlation with the automated quality assessment metric after the exclusions have been performed. ( Lamballais et al, 2020 ).…”