teaming up: application to lewy body diseases
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Teaming Up: Application to Lewy Body DiseasesRicahrd Camicioli, MDCM, FRCP(C)Geriatric Cognitive and Movement DisordersUniversity of Alberta
Disclosures
No relevant disclosure
Limitations to Clinical Studies
Applied to selective populations Males Whites Higher SES Higher education
Focus on specific entities that can be recruited for Alzheimer disease Clinical characteristics may differ based on setting
Geriatric psychiatry, Neurology, Geriatrics, Cognitive Clinic
Excluding populations of interest Older, frail Ignore health/comorbidities
CCNA At a Glance
Who will be recruited where?
• Memory Clinics: SCI, MCI, v‐MCI, AD, Mixed• Stroke Clinics: v‐MCI, Mixed• Movement Disorder Clinics: LBD, PDD, PD‐MCI, PD• Behavioural Neurology Clinics: FTD, PSP, CBD• Competitive Recruitment• No clinic excluded from recruiting a specific Dxcategory.
2016/05/31
Choice of Inclusion and Exclusion criteria
• Broadly inclusive criteria will produce heterogeneous groups that cover the entire dementia population.
• Include almost all co-morbidities and mixed dementias
• Difficult to specify definitions of “pure” disease
MCI
SCI
AD
LBD
FTD
VCI
Mixed
Braak, H. et al. Neurology 2008;70:1916-1925
Lewy Body Pathology in Parkinson’s Disease/Dementia with Lewy Bodies
LewyNet: Nottingham
Mixed Pathology Contributes to Clinical Course
Brenowitz WD 2017
Figure 2 Mild cognitive impairment subtypes and progression to clinically probable Alzheimer disease (A) and probable dementia with Lewy bodies (B).
Tanis J. Ferman et al. Neurology 2013;81:2032-2038
© 2013 American Academy of Neurology
Figure 1 Competing risks: AD and DLBSurvival curves for transitions from amnestic and nonamnestic MCI to DLB and clinically probable AD. AD = Alzheimer disease; DLB = dementia with Lewy bodies; MCI = mild cognitive impairment.
Tanis J. Ferman et al. Neurology 2013;81:2032-2038
© 2013 American Academy of Neurology
Abnormal Gait and Dementia
0102030405060708090
100
PDD VaD DLB PD AD Ctl
Percent
Allan LM, JAGS 2005
Gait Assessment
Standardize Walking PD
Standardized Gait DLB
Multi-Centre Gait Study in PD(Bin Hu, PI)
University of Calgary Observational intervention
University of Alberta Examination of cognitive impact of training
University of Lethbridge Effects of gait training on balance and Aging
University of British Columbia Magnetic resonance imaging changes with exercise
The Effects of Contingency-based Musical Gait Feedback
on Cognition in Individuals with Parkinson’s Disease: Overview
12 weeks; 30 independently mobile persons with mild to moderate PD
Intervention: Semi-randomized (sequential alternating enrollment) into groups Contingency Only – 12 weeks of gait training where
music play was contingent on achieving a set step size Music/Contingency – 6 weeks of passive music listening,
where music played continuously regardless of step size, followed by 6 weeks of contingency-based training
“Dose”: Minimum of 3 walks a week for at least 15 minutes using the musical feedback gait device
Single Blinded Assessments: Baseline, 6 weeks, 12 weeks
The Effects of Contingency-based Musical Gait Feedback
on Cognition in Individuals with Parkinson’s Disease: Measures
CLINICAL BATTERYHoehn and Yahr Stage Assessment
(HY)UPDRS Part III: Motor ExaminationSchwab and England Activities of
Daily LivingModified Cumulative Illness Rating
Scale (MCIRS)AD8 Dementia Screening Interview
Activities of Daily Living (ADLs)Geriatric Depression Scale – Short
Form (GDS)Beck Anxiety Inventory (BAI)
10 Meter Walking – Single and Dual Task
COGNITIVE BATTERYMini Mental State Exam (MMSE)Montreal Cognitive Assessment
(MoCA)Hopkins Verbal Learning Test
(HVLT)Stroop Color-Word Test
Trail Making Tests A & BAttention Network Test (ANT)
Digit Order Test (DOT)
The Effects of Contingency-based Musical Gait Feedback
on Cognition in Individuals with Parkinson’s Disease: Baseline Group Results
Group 1 (n=15); Group 2 (n=15)
No significant differences between groups at baseline Age Independence (Schwab & England) ADLs Cumulative illness rating (MCIRS) Physical activity (LAPAQ) Verbal intellectual ability (NART)
High physical and cognitive functioning
Contingency Only
Music / Contingency
Var Med InterquartRange Med Interquart
Range P
Age 67 12 63 14 0.09
SchEng 80 10 80 10 0.81
AD8 2 3 2 3 0.74ADLs 0 2 0 2 0.86
MCIRS 20 6 23 4 0.59Total PA 805 502 1435 820 0.14
NART 110.8 10.32 116.08 12.56 0.12
INTERIM ANALYSIS*
Contingency Only Music/Contingency
All Weeks
Weeks 1-6 (Training)
Weeks 7-12
(Training)
All WeeksWeeks 1-
6 (Passive)
Weeks 7-12(Training)
Average Distance
(km)1.79 1.79 1.80 2.35 2.34 2.36
Average Duration
(min.)26.35 26.10 26.72 34.13 35.65 32.60
Average Speed
(m/sec)1.08 1.09 1.06 1.16 1.10 1.22
Average Cadence
(steps/min.)108.2 107.7 108.8 112.0 110.3 113.7
Average Step Size (m) 0.60 0.60 0.59 0.63 0.60 0.65
The Effects of Contingency-based Musical Gait Feedback on Cognition in Individuals with
Parkinson’s Disease: Clinical/Cognitive Results of Intervention
Significant Time Effects: MMSE (p=0.0002) Geriatric Depression Scale
(p=0.006) Beck Anxiety Inventory
(p=0.0317) Digit Ordering (p=0.0382)
Significant Group Effects: UPDRS (p=0.0366)
Clinical Significance?
Multi-Centre Gait Assessment: UC, UBC, UA
Chomiak T et al, under review
Michael J Fox Collaboration
Aimed at identifying gaps is PD research related to gait
Anat Mirelman, Quincy Almeida, Teresa Ellis, Chris Hass, Elisa Pelosin, Paolo Bonato, Richard Camicioli, Jamie Hamilton (MJFF)
Lead to synthesis of the literature
CCNA supported analysis of brain areas affected in relation to gait (MMO CCNA Gait Team Lead)
amygdalahippocampussubthalamic nucleus
primary motor
pre-motorSMA
cerebellum
cingulate cortex
corpus callosum
cuneus / pre-cuneus
caudatenucleus accumbensputamen
thalamusinferior parietal lobe
globus pallidus
substantia nigra
PPNcerebellar peduncles
Figure : Regions that been associated with gait dysfunction in Parkinson’s Disease. (a) coronal, (b) sagittal, and (c) transverse views are shown. (d) shows three transverse slices of the brain stem. We have focussed on regions where there are volumetric alterations and/or changes in white matter integrity. The highlighted areas include regions that have exhibited significant differences in comparisons between FOG(+) and FOG(-) participants (studies with or without controls), comparisons between motor subtypes, or show significant correlations with clinical gait measures.
Conclusions Teams can solve gaps in disease knowledge and patient
care
Key is participation and cooperation
Links to primary care and real world setting are critical Goal is personalized medicine
Data collection tools and data management remain works in progress, but are evolving rapidly
Data analysis is complex but tools are becoming available to synthesize diverse and rich data types