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Electroencephalographic Fractal Dimension in Healthy Ageing and Alzheimer's Disease.

Authors :
Smits FM
Porcaro C
Cottone C
Cancelli A
Rossini PM
Tecchio F
Source :
PloS one [PLoS One] 2016 Feb 12; Vol. 11 (2), pp. e0149587. Date of Electronic Publication: 2016 Feb 12 (Print Publication: 2016).
Publication Year :
2016

Abstract

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.

Details

Language :
English
ISSN :
1932-6203
Volume :
11
Issue :
2
Database :
MEDLINE
Journal :
PloS one
Publication Type :
Academic Journal
Accession number :
26872349
Full Text :
https://doi.org/10.1371/journal.pone.0149587