Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2014 Jun 26;9(6):e100199.
doi: 10.1371/journal.pone.0100199. eCollection 2014.

Fractal dimension of EEG activity senses neuronal impairment in acute stroke

Affiliations

Fractal dimension of EEG activity senses neuronal impairment in acute stroke

Filippo Zappasodi et al. PLoS One. .

Abstract

The brain is a self-organizing system which displays self-similarities at different spatial and temporal scales. Thus, the complexity of its dynamics, associated to efficient processing and functional advantages, is expected to be captured by a measure of its scale-free (fractal) properties. Under the hypothesis that the fractal dimension (FD) of the electroencephalographic signal (EEG) is optimally sensitive to the neuronal dysfunction secondary to a brain lesion, we tested the FD's ability in assessing two key processes in acute stroke: the clinical impairment and the recovery prognosis. Resting EEG was collected in 36 patients 4-10 days after a unilateral ischemic stroke in the middle cerebral artery territory and 19 healthy controls. National Health Institute Stroke Scale (NIHss) was collected at T0 and 6 months later. Highuchi FD, its inter-hemispheric asymmetry (FDasy) and spectral band powers were calculated for EEG signals. FD was smaller in patients than in controls (1.447±0.092 vs 1.525±0.105) and its reduction was paired to a worse acute clinical status. FD decrease was associated to alpha increase and beta decrease of oscillatory activity power. Larger FDasy in acute phase was paired to a worse clinical recovery at six months. FD in our patients captured the loss of complexity reflecting the global system dysfunction resulting from the structural damage. This decrease seems to reveal the intimate nature of structure-function unity, where the regional neural multi-scale self-similar activity is impaired by the anatomical lesion. This picture is coherent with neuronal activity complexity decrease paired to a reduced repertoire of functional abilities. FDasy result highlights the functional relevance of the balance between homologous brain structures' activities in stroke recovery.

PubMed Disclaimer

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Topography of Fractal Dimension and relationship with clinical status and recovery.
A. Topographies of mean values of fractal dimension in the 3 groups: patients with lesion in left hemisphere (left), healthy age-matched controls (center), patients with lesion in right hemisphere (right). EEG electrodes are signed by a full circle. Left: mean and standard deviation of fractal dimension, averaged over all sensors of left (Fp1, F3, F7, T3, C3, T5, P3, O1) and right hemisphere (Fp2, F4, F8, T4, C4, T6, P4, O2), in the 3 groups (patients with the lesion in the left hemisphere, patients with the lesion in the right hemisphere, healthy controls). Center: scatter-plot of fractal dimension values over NIHss at T0 and fitting line. Right: scatter-plot of inter-hemispheric asymmetry index of fractal dimension values over effective recovery and fitting line. To be noted that negative values of asymmetry index denote FD values lower in the lesioned hemisphere than in the non-lesioned one.

Similar articles

Cited by

References

    1. Cannon WB (1929) Organization For Physiological Homeostasis. Physiol Rev 9: 399–431.
    1. Goldberger AL, Amaral LA, Hausdorff JM, Ivanov PCh, Peng CK, et al. (2002) Fractal dynamics in physiology: alterations with disease and aging. Proc Natl Acad Sci U S A 99 Suppl 12466–2472. - PMC - PubMed
    1. Meyer M, Stiedl O (2003) Self-affine fractal variability of human heartbeat interval dynamics in health and disease. Eur J Appl Physiol 90: 305–316. - PubMed
    1. Fadel PJ, Barman SM, Phillips SW, Gebber GL (2004) Fractal fluctuations in human respiration. J Appl Phys 97: 2056–2064. - PubMed
    1. Hausdorff JM, Ashkenazy Y, Peng CK, Ivanov PC, Stanley HE, et al. (2001) When human walking becomes random walking: fractal analysis and modeling of gait rhythm fluctuations. Physica A 302: 138–147. - PubMed

Publication types