Inhibitory control deficits in children with Tourette syndrome - - PowerPoint PPT Presentation

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Inhibitory control deficits in children with Tourette syndrome - - PowerPoint PPT Presentation

Inhibitory control deficits in children with Tourette syndrome revealed by object-hit-and-avoid task Nicholas Cothros Clinical and research fellow, adult and paediatric movement disorders Fellowship supervisors: Dr. Tamara Pringsheim and Dr.


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Inhibitory control deficits in children with Tourette syndrome revealed by object-hit-and-avoid task

Nicholas Cothros Clinical and research fellow, adult and paediatric movement disorders Fellowship supervisors: Dr. Tamara Pringsheim and Dr. Davide Martino 29 April 2020

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Introduction

  • Tics manifest as brief and intermittent movements (motor

tics) or sounds (phonic tics), most commonly caused by Tourette syndrome (TS).

  • As tics can be voluntarily suppressed, this has motivated

study of inhibitory control in patients with tic disorders.

  • Different behavioural tasks used in the study of inhibitory
  • control. Varying operational definitions of inhibitory control.
  • Studies have yielded mixed results in terms of the degree or

presence of inhibitory control deficits. This may reflect variations in study tasks.

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A novel approach

  • Novel methods of studying inhibitory control may add new information,

particularly with a task that:

  • requires multiple aspects of skilled action (e.g. goal selection, action

selection, action execution) and may be more sensitive to performance abnormalities;

  • entails motor decision-making more akin to time-sensitive demands
  • f everyday activities; and
  • requires considerable reallocation of attention, to contrast between

those with and without comorbid ADHD.

  • Our study used a robotic exoskeleton (Kinarm) and a bimanual task

involving rapid motor selection and inhibitory control.

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Methods

  • Sixty-four children diagnosed with TS or chronic motor tic

disorder (mean age 12.4 years; range 7.5-18.5) recruited from Calgary Tourette and Pediatric Movement Disorders Clinic.

  • Task: object-hit-and-avoid. Two target objects presented

first, followed by presentation of targets and distractors moving across the screen simultaneously. Goal: hit only the targets while avoiding distractors, using either hand freely.

  • Performance compared to previously assembled, normative

database pertaining to 146 healthy control children on same task (mean age 13.0 years; 6.1-19.9).

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Targets presented at task outset Object-hit-and-avoid task

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  • f the participant’s arm(s).
  • f the participant’s arm(s).

Kinarm Kinarm with visual display and seated participant

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Task parameters

  • Dependent variables divided into four categories:
  • Inhibition variables: distractor hits, distractor proportion,
  • bject processing rate.
  • Task-level variables: target hits, median error, miss bias.
  • Kinematic variables: movement speed and movement

area (for both dominant and non-dominant sides).

  • Inter-limb variables: hand selection overlap, hand

transition, and hand bias (in terms of hits, hand speed, and movement area).

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Analyses

  • Analysis of covariance (ANCOVA) for each of the

dependent variables, with age as covariate, and group (tic disorders group versus controls) as the independent variable.

  • Each ANCOVA was repeated such that the tic disorders

group was split into two groups: those with and without comorbid ADHD.

  • Planned contrasts between each of these two patient

groups and controls. Post-hoc pairwise comparisons between each possible pair of groups.

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Results: main findings

  • Main findings: patients with tic disorders hit a greater

number distractors than controls.

  • Those without comorbid ADHD did not show a

decrease in performance in terms of correctly striking targets.

  • This tendency to hit distractors occurred without

statistically significant changes in motor behaviour, such as movement speed, movement area, hand selection

  • verlap, hand transition, or hand bias (in terms of

movement area, speed, hitting targets, or misses).

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Inhibition variables Controls (adjusted mean and 95% CI) Tic disorders group Between- groups F- stat and p- value tics-without- ADHD p-value versus controls tics-plus- ADHD p-value versus controls Between- groups F- stat and p- value Distractor hits

15.61%

(14.28, 16.95)

23.00%

(20.98, 25.02) F=36.063; p=0.000

22.71%

(19.81, 25.61) 0.000 23.56% (20.66, 26.46) 0.000 F=18.513; p=0.000 Distractor proportion

11.31%

(10.48, 12.15)

16.21%

(14.94, 17.47) F=40.323; p=0.000

15.99%

(14.17, 17.81) 0.000 16.49% (14.68, 18.31) 0.000 F=20.339; p= 0.000 Object processing rate

1.97

(1.93, 2.00)

1.85

(1.79, 1.90) F=12.752; p=0.000

1.87 (1.79,

1.95) 0.032 1.83 (1.75, 1.91) 0.002 F=6.202; p=0.002 ANCOVAs for inhibition variables: controls vs. patients with tics; and for controls vs. patients, split into two groups (those without ADHD and those with ADHD); and planned contrasts comparing each of the two patient groups to the control group

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Results: main findings

  • In addition to striking more distractors, patients with

comorbid ADHD differed from controls by striking fewer targets, and:

  • greater average speed; larger movement area using

dominant hand;

  • greater movement area bias favouring dominant hand;

and a hand transition point further away from midline (greater encroachment of dominant limb into non- dominant side of the workspace).

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Task-level variables Controls (adjusted mean and 95% CI) Tic disorders group Between- groups F- stat and p-value tics-without- ADHD p-value versus controls tics-plus- ADHD p-value versus controls Between- groups F- stat and p-value Target hits

126.86

(124.35, 129.36)

120.82

(117.02, 124.61) F=6.848; p=0.010 122.66 (117.20, 128.13) 0.157 119.74 (114.28, 125.21) 0.018 F=3.341; p=0.037 ANCOVAs for task-level and kinematic variables: controls vs. patients with tics; and for controls vs. patients, split into two groups (those without ADHD and those with ADHD); and planned contrasts comparing each of the two patient groups to the control group Kinematic variables Controls (adjusted mean and 95% CI) Tic disorders group Between- groups F- stat and p-value tics- without- ADHD p-value versus controls tics- plus- ADHD p-value versus controls Between- groups F- stat and p-value Movement speed dominant

0.183 m/s

(0.175, 0.192)

0.203 m/s

(0.190, 0.216) F=6.439; p=0.012 0.193 m/s (0.175, 0.211) 0.342 0.216

m/s

(0.198, 0.234) 0.001 F=5.317; p=0.006 Movement speed non- dominant 0.173 m/s (0.165, 0.181) 0.186 m/s (0.174, 0.198) 3F=.246; p=0.073 0.182 m/s (0.166, 0.199) 0.326 0.192

m/s

(0.175, 0.209) 0.047 F=2.204; p=0.113

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Performance relative to age-predicted norms

  • The parameters for which a notably large percentage

performed abnormally were the inhibition variables;

  • distractor hits – 20.31%
  • distractor proportion – 23.44%
  • and task-level variable of median error – 18.75%
  • For nearly all remaining task parameters, <10% fell
  • utside age-predicted norms.
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1.

  • bject

processing rate 2. distractor proportion 3. distractor hits 1. target hits 2. miss bias 3. median error 1. movement speed (dominant) 2. movement speed (non-dominant) 3. movement area (dominant) 4. movement area (non-dominant) 1. hand selection

  • verlap

2. hand transition 3. movement area bias 4. hand bias of hits 5. hand speed bias

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Conclusions

  • Patients with tics showed clearly impaired performance,

with a tendency to strike distractors. Over 20% of patients performed below age-predicted norms in this area.

  • Patients with tics can be clearly distinguished from

controls in this tendency to hit distractors.

  • Patients without comorbid ADHD behaved otherwise

similarly to controls, and therefore worse performance in hitting distractors not an idiosyncrasy of moving limbs unusually.

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Conclusions

  • For patients with ADHD, attention deficits may have

accounted for reduced attention directed to non- dominant side of workspace (affecting hand transition and movement area bias).

  • Greater average speed may be explained by

inattentiveness/hyperactivity, or to ADHD-specific deficits in upper limb function, or compensatory speeding up due to delayed reaction time.

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Challenges

  • Prevailing research suggests inhibitory control is a

multidimensional construct, comprising early/automatic inhibition, and late/volitional inhibition.

  • However, the object-hit-and-avoid task was not

designed to distinguish between these different components of inhibitory control.

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Challenges

  • Clinical relevance of hitting distractors remains to be
  • demonstrated. Our task differs from classical tests of

inhibitory control, limiting direct comparison to several previous studies.

  • Correlations with tic severity… Negative correlations

between YGTSS total score and: target hits with non- dominant hand, miss bias, and movement speed with non- dominant hand. Positive correlation with hand transition.

  • Consistent with previous studies showing association

between tic suppression and reduced lateralization (i.e reduced inhibition of the non-dominant side).

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Summary

  • Our study represents a novel approach to the study of

inhibitory control in tic disorders and yields further evidence of deficient inhibitory control in patients with tics.

  • Further study is needed to explore the relationship

between Kinarm performance deficits and clinically relevant outcomes.

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Acknowledgments

  • Dr. Sean Dukelow
  • Dr. Rachel Hawe
  • Dr. Adam Kirton
  • Dr. Davide Martino
  • Dr. Alex Medina
  • Elaheh Nosratmirshekarlou
  • Dr. Tamara Pringsheim
  • Funding acknowledgement: Owerko Centre at the Alberta Children’s Hospital

Research Institute

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