Your browser doesn't support javascript.
loading
Brain functional connectome abnormalities in amyotrophic lateral sclerosis are associated with disability and cortical hyperexcitability.
Geevasinga, N; Korgaonkar, M S; Menon, P; Van den Bos, M; Gomes, L; Foster, S; Kiernan, M C; Vucic, S.
Affiliation
  • Geevasinga N; Westmead Clinical School, University of Sydney, Sydney, NSW.
  • Korgaonkar MS; Westmead Clinical School, University of Sydney, Sydney, NSW.
  • Menon P; The Brain Dynamics Centre Westmead Institute for Medical Research and University of Sydney, Westmead, NSW.
  • Van den Bos M; Westmead Clinical School, University of Sydney, Sydney, NSW.
  • Gomes L; Westmead Clinical School, University of Sydney, Sydney, NSW.
  • Foster S; Department of Radiology Westmead Hospital, Westmead, NSW.
  • Kiernan MC; Department of Radiology Westmead Hospital, Westmead, NSW.
  • Vucic S; Brain and Mind Centre University of Sydney, Sydney, NSW.
Eur J Neurol ; 24(12): 1507-1517, 2017 12.
Article in En | MEDLINE | ID: mdl-28926154
ABSTRACT
BACKGROUND AND

PURPOSE:

The present study utilized a multimodal approach encompassing connectome networks combined with brain volume analysis, and assessment of cortical excitability to provide novel insights into amyotrophic lateral sclerosis (ALS) pathogenesis.

METHODS:

Magnetic resonance images were acquired using a 3.0-Tesla Signa HDx scanner (GE Healthcare, Milwaukee, WI, USA), using an eight-channel head coil. Magnetic resonance images for the resting-state scan were acquired using an echo-planar imaging magnetic resonance sequence, acquiring 40 contiguous axial/oblique slices. Structural magnetic resonance imaging three-dimensional T1-weighted images were acquired in the sagittal plane using three-dimensional spoiled gradient echo sequences. For structural imaging, a T1-weighted high-resolution (3.0-Tesla) magnetic resonance imaging scan was used. Cortical excitability was assessed by using the threshold-tracking transcranial magnetic stimulation paradigm. Network-based statistics and whole-brain functional topology (using graph theoretical approaches) assessed functional connectivity.

RESULTS:

Using a global network-based statistical analysis approach, functional connectivity was increased in 12 network edges connecting 14 nodes (P < 0.05) within the frontal, temporal, parietal and subcortical regions. Analysis of local connectedness disclosed dichotomous effects with reduced connectivity in frontal regions and increased connectivity in occipital regions in ALS. Cortical hyperexcitability was evident in patients with ALS, negatively correlated with functional connectivity changes in the pre-central gyrus (P < 0.01). Connectivity changes in the frontal regions were negatively associated with functional disability (P < 0.05).

CONCLUSIONS:

Multimodal assessment of cortical function in patients with ALS identified deficits in functional connectivity associated with cortical hyperexcitability that correlated with patient disability. Novel integration of functional brain assessment further contributes to the understanding of disease pathogenesis in ALS.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Amyotrophic Lateral Sclerosis Type of study: Risk_factors_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Eur J Neurol Journal subject: NEUROLOGIA Year: 2017 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Amyotrophic Lateral Sclerosis Type of study: Risk_factors_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Eur J Neurol Journal subject: NEUROLOGIA Year: 2017 Document type: Article