Abdulkadir, A.

Durr, A.

Kaller, C.P.

Kloppel, S.

Leavitt, B.R.

Minkova, L.

Peter, J.

Roos, R.A.

Scheller, E.

Tabriziw, S.J.

TrackOn-Hd Investigators

Frontiers in Human Neuroscience

PubMed

Lora Minkova

Elisa Scheller

Jessica Peter

Ahmed Abdulkadir

Christoph P. Kaller

Raymund A. Roos

Alexandra Durr

Blair R. Leavitt

Sarah J. Tabrizi

Stefan Klöppel

Frontiers - Publisher Connector

Detection of Motor Changes in Huntington's Disease Using Dynamic Causal Modeling

Deficits in motor functioning are one of the hallmarks of Huntington's disease (HD), a genetically caused neurodegenerative disorder We applied functional magnetic resonance imaging (fMRI) and dynamic causal modeling (DCM) to assess changes that occur with disease progression in the neural circuitry of key areas associated with executive and cognitive aspects of motor control. Seventy-seven healthy controls, 62 pre-symptomatic HD gene carriers (preHD), and 16 patients with manifest HD symptoms (earlyHD) performed a motor finger-tapping fMRI task with systematically varying speed and complexity. DCM was used to assess the causal interactions among seven pre-defined regions of interest, comprising primary motor cortex, supplementary motor area (SMA), dorsal premotor cortex, and superior parietal cortex. To capture heterogeneity among HD gene carriers, DCM parameters were entered into a hierarchical cluster analysis using Ward's method and squared Euclidian distance as a measure of similarity. After applying Bonferroni correction for the number of tests, DCM analysis revealed a group difference that was not present in the conventional fMRI analysis. We found an inhibitory effect of complexity on the connection from parietal to premotor areas in preHD, which became excitatory in earlyHD and correlated with putamen atrophy. While speed of finger movements did not modulate the connection from caudal to pre-SMA in controls and preHD, this connection became strongly negative in earlyHD. This second effect did not survive correction for multiple comparisons. Hierarchical clustering separated the gene mutation carriers into three clusters that also differed significantly between these two connections and thereby confirmed their relevance. DCM proved useful in identifying group differences that would have remained undetected by standard analyses and may aid in the investigation of between-subject heterogeneity.</p

Minkova, Lora

Scheller, Elisa

Peter, Jessica

Abdulkadir, Ahmed

Kaller, Christoph P.

Roos, Raymund A C

Durr, Alexandra

Leavitt, Blair R

Tabrizi, Sarah J

Klöppel, Stefan

Monash University Research Portal

English

Detection of motor changes in huntington's disease using dynamic causal modeling

Deficits in motor functioning are one of the hallmarks of Huntington's disease (HD), a genetically caused neurodegenerative disorder. We applied functional magnetic resonance imaging (fMRI) and dynamic causal modeling (DCM) to assess changes that occur with disease progression in the neural circuitry of key areas associated with executive and cognitive aspects of motor control. Seventy-seven healthy controls, 62 pre-symptomatic HD gene carriers (preHD), and 16 patients with manifest HD symptoms (earlyHD) performed a motor finger-tapping fMRI task with systematically varying speed and complexity. DCM was used to assess the causal interactions among seven pre-defined regions of interest, comprising primary motor cortex, supplementary motor area (SMA), dorsal premotor cortex, and superior parietal cortex. To capture heterogeneity among HD gene carriers, DCM parameters were entered into a hierarchical cluster analysis using Ward's method and squared Euclidian distance as a measure of similarity. After applying Bonferroni correction for the number of tests, DCM analysis revealed a group difference that was not present in the conventional fMRI analysis. We found an inhibitory effect of complexity on the connection from parietal to premotor areas in preHD, which became excitatory in earlyHD and correlated with putamen atrophy. While speed of finger movements did not modulate the connection from caudal to pre-SMA in controls and preHD, this connection became strongly negative in earlyHD. This second effect did not survive correction for multiple comparisons. Hierarchical clustering separated the gene mutation carriers into three clusters that also differed significantly between these two connections and thereby confirmed their relevance. DCM proved useful in identifying group differences that would have remained undetected by standard analyses and may aid in the investigation of between-subject heterogeneity

Kaller, Christoph

Roos, Raymund A.

Tabrizi, Sarah J.

FreiDok plus

Detection of motor changes in Huntington's disease using dynamic causal modeling

Crossref

Leiden University Scholary Publications

http://dx.doi.org/10.3389/fnhum.2015.00634

Detection of Motor Changes in Huntington's Disease Using Dynamic Causal Modeling

Abstract

Similar works

Full text

Available Versions

Frontiers - Publisher Connector

Monash University Research Portal

FreiDok plus

Crossref

Frontiers - Publisher Connector

Leiden University Scholary Publications