Inter-hemispheric functional connectivity changes with corpus callosum morphology in multiple sclerosis

Zito, Giancarlo; Lüders, Eileen; Tomasevic, L.; Lupoi, Domenico; Toga, Arthur W.; Thompson, Paul M.; Rossini, Paolo Maria; Filippi, M; Tecchio, Franca

doi:10.1016/j.neuroscience.2014.01.039

Cited by 26 publications

(19 citation statements)

References 35 publications

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“…In fact, we found a significant moderately positive correlation between CCA and global sHIC, demonstrating a structure-function relationship between inter-hemispheric connectivity and callosal atrophy in MS. This finding extends previous work performed using volumetric methods [Zhuo et al, 2013] and confirms results found using EEG [Zito et al, 2014]. Future work should extend these findings to larger populations of MS subjects, including those with longer disease durations and a greater degree of disability.…”

Section: Discussionsupporting

confidence: 90%

A surface‐based technique for mapping homotopic interhemispheric connectivity: Development, characterization, and clinical application

Tobyne

Daria

Johnson

et al. 2016

Human Brain Mapping

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The functional organization of the human brain consists of a high degree of connectivity between inter-hemispheric homologous regions. The degree of homotopic organization is known to vary across the cortex and homotopic connectivity is high in regions that share cross-hemisphere structural connections or are activated by common input streams (e.g. the visual system). Damage to one or both regions, as well as damage to the connections between homotopic regions, could disrupt this functional organization. Here were introduce and test a computationally efficient technique, surface-based Homotopic Inter-hermispheric Connectivity (sHIC), that leverages surface-based registration and processing techniques in an attempt improve the spatial specificity and accuracy of cortical inter-hemispheric connectivity estimated with resting state functional connectivity. This technique is shown to be reliable both within and across subjects. sHIC is also characterized in a dataset of nearly 1000 subjects. We confirm previous results showing increased inter-hemispheric connectivity in primary sensory regions, and reveal a novel rostro-caudal functionally-defined network level pattern of sHIC across the brain. In addition, we demonstrate a structural-functional relationship between sHIC and atrophy of the corpus callosum in multiple sclerosis (r=0.2979, p=0.0461). sHIC presents as a sensitive and reliable measure of cortical homotopy that may prove useful as a biomarker in neurologic disease.

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Section: Discussionsupporting

confidence: 90%

A surface‐based technique for mapping homotopic interhemispheric connectivity: Development, characterization, and clinical application

Tobyne

Daria

Johnson

et al. 2016

Human Brain Mapping

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“…Our result is consistent with previous findings showing decreased interhemispheric FC at rest in people with MS using magnetoencephalography (MEG) or encephalography (EEG) (Cover et al 2006;Zito et al 2014). It is also consistent with results from studies using TMS finding that the interhemispheric inhibition between motor cortices mediated by slowly conducting fibres passing through the corpus callosum was deficient (Schmierer et al 2000;Schmierer et al 2002).…”

Section: Hc Vs MIsupporting

confidence: 93%

“…Asterisks denoted the significance of the level of accuracy with ** for p < 0.01 and *** for p < 0.001 structure providing interhemispheric communication between grey matter structures, can be profoundly damaged in MS (Evangelou et al 2000;Gean-Marton et al 1991) even when the T2 lesions only consisted around 1.4 % of the callosal volume (Ozturk et al 2010). Damage in the corpus callosum has been previously linked to both weakened interhemispheric FCs (Zito et al 2014) and physical disability (Audoin et al 2007;Llufriu et al 2012;Ozturk et al 2010;Yaldizli et al 2011). In addition, white matter lesions within the hemispheres affecting any fibres connected with the corpus callosum may also influence the functional connectivity.…”

Section: Hc Vs MImentioning

confidence: 99%

Combined structural and functional patterns discriminating upper limb motor disability in multiple sclerosis using multivariate approaches

Zhong

Chen

Nantes

et al. 2016

Brain Imaging and Behavior

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A structural or functional pattern of neuroplasticity that could systematically discriminate between people with impaired and preserved motor performance could help us to understand the brain networks contributing to preservation or compensation of behavior in multiple sclerosis (MS). This study aimed to (1) investigate whether a machine learning-based technique could accurately classify MS participants into groups defined by upper extremity function (i.e. motor function preserved (MP) vs. motor function impaired (MI)) based on their regional grey matter measures (GMM, cortical thickness and deep grey matter volume) and inter-regional functional connection (FC), (2) investigate which features (GMM, FC, or GMM + FC) could classify groups more accurately, and (3) identify the multivariate patterns of GMM and FCs that are most discriminative between MP and MI participants, and between each of these groups and the healthy controls (HCs). With 26 MP, 25 MI, and 21 HCs (age and sex matched) underwent T1-weighted and resting-state functional MRI at 3 T, we applied support vector machine (SVM) based classification to learn discriminant functions indicating regions in which GMM or between which FCs were most discriminative between groups. This study demonstrates that there exist structural and FC patterns sufficient for correct classification of upper limb motor ability of people with MS. The classifier with GMM + FC features yielded the highest accuracy of 85.61 % (p < 0.001) to distinguish between the MS groups using leave-one-out cross-validation. It suggests that a machine-learning approach combining structural and functional features is useful for identifying the specific neural substrates that are necessary and sufficient to preserve motor function among people with MS.

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“…In addition, we tested patients with relapsing-remitting multiple sclerosis (RRMS) in the identical BTC protocol. We chose multiple sclerosis as a model disease of callosal damage, given the findings of frequent and early callosal affection in RRMS (Evangelou et al 2000a, b;Pelletier et al 2001;Zito et al 2014). We have shown previously, that impaired S-IHI along with reduced FA-hCMF is already present in the earliest stages of RRMS (Wahl et al 2011), but the behavioral implications of these findings have not been tested.…”

Section: Introductionmentioning

confidence: 99%

Callosal anatomical and effective connectivity between primary motor cortices predicts visually cued bimanual temporal coordination performance

et al. 2015

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Default in-phase coupling of hand movements needs to be suppressed when temporal coordination is required for out-of-phase bimanual movements. There is lack of knowledge on how the brain overrides these default in-phase movements to enable a required interval of activity between hands. We used a visually cued bimanual temporal coordination (vc-BTC) paradigm with a constant rhythmical time base of 1 s, to test the accuracy of in-phase and out-of-phase (0.1, 0.2,…,0.9) finger tapping. We hypothesized that (1) stronger anatomical and effective interhemispheric connectivity between the hand areas of the primary motor cortex (M1HAND) predict higher temporal offsets between hands in the out-of-phase conditions of the vc-BTC; (2) patients with relapsing-remitting multiple sclerosis (RRMS) and clinically isolated syndrome (CIS) have reduced interhemispheric connectivity and altered between-hand coupling. Anatomical connectivity was determined by fractional anisotropy of callosal hand motor fibers (FA-hCMF). Effective connectivity was probed by short interval interhemispheric inhibition (S-IHI) using paired-coil transcranial magnetic stimulation (TMS). In healthy subjects, higher FA-hCMF and S-IHI correlated with higher temporal offsets between hands in the out-of-phase conditions of the tapping test. FA-hCMF was reduced in patients with RRMS but not in CIS, while S-IHI was reduced in both patient groups. These abnormalities were associated with smaller temporal offsets between hands leading to less deviation from the required phasing in the out-of-phase tapping conditions. Findings provide multiple levels of evidence that callosal anatomical and effective connectivity between the hand areas of the motor cortices play important roles in visually cued bimanual temporal coordination performance.

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Inter-hemispheric functional connectivity changes with corpus callosum morphology in multiple sclerosis

Cited by 26 publications

References 35 publications

A surface‐based technique for mapping homotopic interhemispheric connectivity: Development, characterization, and clinical application

A surface‐based technique for mapping homotopic interhemispheric connectivity: Development, characterization, and clinical application

Combined structural and functional patterns discriminating upper limb motor disability in multiple sclerosis using multivariate approaches

Callosal anatomical and effective connectivity between primary motor cortices predicts visually cued bimanual temporal coordination performance

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