Lifespan Differences in Cortico-Striatal Resting State Connectivity

Bo, Jin; Lee, Chi Mei; Kwak, Youngbin; Peltier, Scott; Ja, Bernard; Buschkuehl, Martin; Jaeggi, Susanne M.; Wiggins, Jillian Lee; Jonides, John; Monk, Christopher S.; Seidler, Rachael D.

doi:10.1089/brain.2013.0155

Cited by 40 publications

(40 citation statements)

References 63 publications

(75 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These results suggest that the EEG-derived fractal dimension measure is sensitive to a parabolic development of neural efficiency over the life-span. Accordingly, this parabolic maturation of neural capacity over the lifespan is also shown by other brain measures, for example by the inverted U-shaped development of connectivity of cognitive and motor frontal-striatal networks [ 42 ], of the optimal balance between local and global neural plasticity [ 43 ], of brain weight and of white matter volume [ 44 ].…”

Section: Discussionmentioning

confidence: 96%

Electroencephalographic Fractal Dimension in Healthy Ageing and Alzheimer’s Disease

et al. 2016

View full text Add to dashboard Cite

Brain activity is complex; a reflection of its structural and functional organization. Among other measures of complexity, the fractal dimension is emerging as being sensitive to neuronal damage secondary to neurological and psychiatric diseases. Here, we calculated Higuchi’s fractal dimension (HFD) in resting-state eyes-closed electroencephalography (EEG) recordings from 41 healthy controls (age: 20–89 years) and 67 Alzheimer’s Disease (AD) patients (age: 50–88 years), to investigate whether HFD is sensitive to brain activity changes typical in healthy aging and in AD. Additionally, we considered whether AD-accelerating effects of the copper fraction not bound to ceruloplasmin (also called “free” copper) are reflected in HFD fluctuations. The HFD measure showed an inverted U-shaped relationship with age in healthy people (R2 = .575, p < .001). Onset of HFD decline appeared around the age of 60, and was most evident in central-parietal regions. In this region, HFD decreased with aging stronger in the right than in the left hemisphere (p = .006). AD patients demonstrated reduced HFD compared to age- and education-matched healthy controls, especially in temporal-occipital regions. This was associated with decreasing cognitive status as assessed by mini-mental state examination, and with higher levels of non-ceruloplasmin copper. Taken together, our findings show that resting-state EEG complexity increases from youth to maturity and declines in healthy, aging individuals. In AD, brain activity complexity is further reduced in correlation with cognitive impairment. In addition, elevated levels of non-ceruloplasmin copper appear to accelerate the reduction of neural activity complexity. Overall, HDF appears to be a proper indicator for monitoring EEG-derived brain activity complexity in healthy and pathological aging.

show abstract

Section: Discussionmentioning

confidence: 96%

Electroencephalographic Fractal Dimension in Healthy Ageing and Alzheimer’s Disease

et al. 2016

View full text Add to dashboard Cite

show abstract

“…The changes in connectivity between the cerebellum and prefrontal cortex are broadly consistent with this finding. However, developmental investigations of other functional networks have demonstrated increased connectivity from childhood and adolescence into adulthood in the default mode network (Supekar et al, 2010) and in striatal-cortical functional networks (Bo et al, 2014). Thus, though our findings are consistent with the literature on cerebellar structural development (Bernard et al, 2015; Tiemeier et al, 2010a) and development of prefrontal resting state networks (Kelly et al, 2009), patterns of functional network connectivity seems to differ based on the networks and seed regions in question.…”

Section: Discussionmentioning

confidence: 99%

Differential motor and prefrontal cerebello-cortical network development: Evidence from multimodal neuroimaging

Orr

Mittal

2016

NeuroImage

Self Cite

View full text Add to dashboard Cite

While our understanding of cerebellar structural development through adolescence and young adulthood has expanded, we still lack knowledge of the developmental patterns of cerebellar networks during this critical portion of the lifespan. Volume in lateral posterior cerebellar regions associated with cognition and the prefrontal cortex develops more slowly, reaching their peak volume in adulthood, particularly as compared to motor Lobule V. We predicted that resting state functional connectivity of the lateral posterior regions would show a similar pattern of development during adolescence and young adulthood. That is, we expected to see changes over time in Crus I and Crus II connectivity with the cortex, but no changes in Lobule V connectivity. Additionally, we were interested in how structural connectivity changes in cerebello-thalamo-cortical white matter are related to changes in functional connectivity. A sample of 23 individuals between 12 and 21 years old underwent neuroimaging scans at baseline and 12-months later. Functional networks of Crus I and Crus II showed significant connectivity decreases over 12-months, though there were no differences in Lobule V. Furthermore, these functional connectivity changes were correlated with increases in white matter structural integrity in the corresponding cerebello-thalamo-cortical white matter tract. We suggest that these functional network changes are due to both later pruning in the prefrontal cortex as well as further development of the white matter tracts linking these brain regions.

show abstract

“…With respect to motor-related networks, stronger connectivity, albeit nonsignificant, was observed as a function of age within the dorsal somatomotor network whereas weaker connectivity was observed with older age within the ventral somatomotor network (P-uncorrected < 0.05 but did not survive FDR correction). This suggests that age-related modulations of connectivity within motor-related networks are dependent on the specific regions included as part of a motor network and thus help explain the heterogeneity in the available literature (Wu, Zang, Wang, Long, Hallett, et al 2007;Tomasi and Volkow 2012;Bo et al 2014;Solesio-Jofre et al 2014;Song et al 2014;Geerligs et al 2015;Seidler et al 2015).…”

Section: Age-related Modulations Of Inter-and Intranetwork Resting Stmentioning

confidence: 95%

“…These networks are known to change substantially with age, with a decrease in connectivity within the default mode network being the most commonly reported finding (Andrews-Hanna et al 2007;Damoiseaux et al 2008;Tomasi and Volkow 2012;Ferreira and Busatto 2013;Geerligs et al 2015;Ferreira et al 2016). Investigations into age-related changes within motor resting state networks have revealed both increased and decreased connectivity, heterogeneous results that appear to be at least partially attributed to the specific brain regions included as part of the networks of interest (Wu, Zang, Wang, Long, Hallett, et al 2007;Tomasi and Volkow 2012;Bo et al 2014;Solesio-Jofre et al 2014;Song et al 2014;Geerligs et al 2015;Seidler et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Age-Related Declines in Motor Performance are Associated With Decreased Segregation of Large-Scale Resting State Brain Networks

et al. 2017

View full text Add to dashboard Cite

Aging is typically associated with substantial declines in motor functioning as well as robust changes in the functional organization of brain networks. Previous research has investigated the link between these 2 age-varying factors but examinations were predominantly limited to the functional organization within motor-related brain networks. Little is known about the relationship between age-related behavioral impairments and changes in functional organization at the whole brain (i.e., multiple network) level. This knowledge gap is surprising given that the decreased segregation of brain networks (i.e., increased internetwork connectivity) can be considered a hallmark of the aging process. Accordingly, we investigated the association between declines in motor performance across the adult lifespan (20-75 years) and age-related modulations of functional connectivity within and between resting state networks. Results indicated that stronger internetwork resting state connectivity observed as a function of age was significantly related to worse motor performance. Moreover, performance had a significantly stronger association with the strength of internetwork as compared with intranetwork connectivity, including connectivity within motor networks. These findings suggest that age-related declines in motor performance may be attributed to a breakdown in the functional organization of large-scale brain networks rather than simply age-related connectivity changes within motor-related networks.

show abstract

Lifespan Differences in Cortico-Striatal Resting State Connectivity

Cited by 40 publications

References 63 publications

Electroencephalographic Fractal Dimension in Healthy Ageing and Alzheimer’s Disease

Electroencephalographic Fractal Dimension in Healthy Ageing and Alzheimer’s Disease

Differential motor and prefrontal cerebello-cortical network development: Evidence from multimodal neuroimaging

Age-Related Declines in Motor Performance are Associated With Decreased Segregation of Large-Scale Resting State Brain Networks

Contact Info

Product

Resources

About