transcranial magnetic stimulation–based observations in people with cortical dementias

1
P4-061 TRANSCRANIAL MAGNETIC STIMULATION– BASED OBSERVATIONSIN PEOPLE WITH CORTICAL DEMENTIAS Sadanandavally Chandra 1 , Thomas Issac 2 , B Nagaraju 3 , 1 National Institute of Mental Health And Neuroscieces, Bangalore, India; 2 National Institute of Mental Health and Neurosciences(NIMHANS) India, Bangalore, India; 3 NIMHANS, Bangalore, India. Contact e-mail: thomasgregorissac@gmail. com Background: Cortical dementias are one of the commonest neurodegener- ative diseases affecting people from their 5th decade onwards. Currently there is no evidence to say the status of motor pathways and cortical in- hibition in these conditions sub clinically.This study is to find out the sta- tus of Central motor pathways in patients with cortical dementias and their probable therapeutic implications. Methods: Inclusion criteria; 1. Patients with cortical dementias without clinical or radiological evidence of involve- ment of sub cortical structures.2.Mini mental score at least 20. 3. Willing- ness obtained through informed consent.Exclusion-1. Patients with seizures. 2. Presence of pacemakers, aneurysm clips etc. 3. MMSE scores <20 6 consecutive patients fulfilling the above criteria were evaluated using TMS using single pulse magnetic stimulation with figure of eight coil; the right first dorsal interossei was the recording site. The motor threshold was estimated for each patient on the opposite motor cortex by the following method - 10 stimuli were applied and at least 5 complexes of more than 50mcV should be elicited. Supramaximal stimulus was applied and the la- tency was calculated (T1). Second site of stimulation was cervical spine at C7 and this latency was again calculated (T2).Central motor conduction time is equal to T1-T2.Silent period was identified as follows; Patients were asked to contract the index finger and a single threshold TMS pulse was applied to the contra lateral motor cortex. The period of EMG arrest from the end of MEP to the appearance of EMG was analyzed. Results: Cor- tical threshold was reduced in 4 out of total 6 patients. Central motor con- duction time was in the upper limit of normal in 5 out of 6 patients. Conclusions: Cortical threshold was reduced in 4 out of total 6 patients. Central motor conduction time was in the upper limit of normal in 5 out of 6 patients. Most consistent observation was that silent period was reduced and there were escape discharges noticed during the silent period suggesting increased cortical excitability and decreased cortical inhibition .This sug- gests early asymptomatic changes in the GABAnergic system. This might give some insight into the therapeutic role of GABA agonists in the manage- ment of these patients. P4-062 NEUROPSYCHOLOGICAL CHARACTERISTICS OF PEOPLE WITH MILD COGNITIVE IMPAIRMENT WITH OR WITHOUT DEPRESSION Kwang Seok Jeong 1 , So Young Youn 1 , Un Jung Cho 2 , Chan-Seung Chung 3 , Seung Hyun Song 1 , Ki Hwa Nam 1 , Soo Young Bhang 4 , Joon Ho Ahn 4 , Duk L. Na 5 , Seong Yoon Kim 2 , 1 Psychiatry, Asan Medical Center, Seoul, South Korea; 2 Asan Medical Center, Seoul, South Korea; 3 Gyeonggi Provincial Yongin Geriatric Hospital, Yongin-si, South Korea; 4 Psychiatry, Ulsan University Hospital, Ulsan, South Korea; 5 Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea. Contact e-mail: [email protected] Background: Depression in the elderly often accompany cognitive de- cline, while dementia patients frequently have depressive symptoms. Mild cognitive impairment (MCI) subjects also have depressive symp- toms, but the effect of depression on the cognitive impairment in this group has not been well understood. The authors compared the neuropsy- chological profiles of MCI subjects with depression and those without. Methods: Data of this research were collected from CREDOS dataset (Clinical Research Center for Dementia of South Korea), which is a longi- tudinal study to build up a hospital-based registry. Among 2,525 MCI sub- jects recruited between December 2005 to February 2011 by 31 nationwide dementia centers, 366 MCI subjects at the both extreme ends of depressive spectrum were analyzed. Cognitive functions were evaluated with Seoul Neuropsychological Screening Battery (SNSB), Table 1 Population demographics for participants (mean 6 standard deviation). *p < 0.05, **p < 0.01 for AD vs control or MCI-C vs MCI-NC. AD (N¼175) Control (N¼213) MCI Converters (MCI-C) (N¼180) MCI Non- Converters (MCI-NC) (N¼172) Age 81.35 6 7.43 81.78 6 4.90 80.40 6 7.12 81.02 6 7.48 Sex 82 females, 93 males 99 females, 114 males 64 females, 116 males 60 females, 112 males Education (years) 14.62 6 3.18** 16.00 6 2.82** 15.80 6 2.91 15.60 6 3.29 APOE ε4 116 positive** 58 positive** 119 positive** 77 positive** MMSE 23.29 6 2.08** 29.10 6 1.00** 26.74 6 1.69* 27.23 6 1.85* ADAS-Cog Modified 29.07 6 7.93** 9.58 6 4.26** 21.04 6 5.50** 16.78 6 6.16** Table 2 Summary of prediction analyses performed, subjects included in each analysis, and the analytical method used. Prediction analysis Subjects Method AD versus control AD, control Na ıve Bayes MCI-C versus MCI-NC MCI-C, MCI-NC Na ıve Bayes Age of AD Diagnosis AD, MCI-C LASSO Modified ADAD-Cog score All LASSO MMSE score All LASSO Table 3 Classification results for AD versus control and MCI-C versus MCI-NC. For MCI subjects, predictions were performed using a model built with AD/ control subjects. Subjects Feature Set AUC Acc. Sens. Spec. AD vs. Control Polygenetic profile 0.826 59.0% 0.98 0.27 Polygenetic profile + age 0.845 62.9% 0.97 0.35 SPARE-AD 0.977 96.1% 0.96 0.96 Polygenetic profile + SPARE-AD 0.987 93.0% 0.98 0.89 MCI-C vs MCI-NC Polygenetic profile 0.641 52.7% 0.92 0.15 Polygenetic profile + age 0.618 51.4% 0.96 0.09 SPARE-AD 0.696 63.1% 0.89 0.38 Polygenetic profile + SPARE-AD 0.728 58.7% 0.97 0.22 Table 4 Correlation between predicted and actual age of AD diagnosis and cognitive performance. RAVENS maps arevoxel-wise measures of atrophy. **P <.01. Prediction Analysis Feature Set R2 Age of AD Diagnosis Polygenetic profile 0.05** RAVENS 0.03** RAVENS + polygenetic profile 0.07** SPARE-AD 0.01 Modified ADAS-Cog score Polygenetic profile 0.11** SPARE-AD 0.43** Polygenetic profile + SPARE-AD 0.44** MMSE score Polygenetic profile 0.04** SPARE-AD 0.34** Polygenetic profile + SPARE-AD 0.33** Poster Presentations: P4 P725

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Table 1

Population demographics for participants (mean 6 standard deviation).

*p < 0.05, **p < 0.01 for AD vs control or MCI-C vs MCI-NC.

AD

(N¼175)

Control

(N¼213)

MCI

Converters

(MCI-C)

(N¼180)

MCI Non-

Converters

(MCI-NC)

(N¼172)

Age 81.35 6 7.43 81.78 6 4.90 80.40 6 7.12 81.02 6 7.48

Sex 82 females,

93 males

99 females,

114 males

64 females,

116 males

60 females,

112 males

Education

(years)

14.62 6 3.18** 16.00 6 2.82** 15.80 6 2.91 15.60 6 3.29

APOE ε4 116 positive** 58 positive** 119 positive** 77 positive**

MMSE 23.29 6 2.08** 29.10 6 1.00** 26.74 6 1.69* 27.23 6 1.85*

ADAS-Cog

Modified

29.07 6 7.93** 9.58 6 4.26** 21.04 6 5.50** 16.78 6 6.16**

Poster Presentations: P4 P725

Table 2

Summary of prediction analyses performed, subjects included in each

analysis, and the analytical method used.

Prediction analysis Subjects Method

AD versus control AD, control Na€ıve Bayes

MCI-C versus MCI-NC MCI-C, MCI-NC Na€ıve BayesAge of AD Diagnosis AD, MCI-C LASSO

Modified ADAD-Cog score All LASSO

MMSE score All LASSO

Table 3

Classification results for AD versus control andMCI-C versusMCI-NC. For

MCI subjects, predictions were performed using a model built with AD/

control subjects.

Subjects Feature Set AUC Acc. Sens. Spec.

AD vs.

Control

Polygenetic profile 0.826 59.0% 0.98 0.27

Polygenetic profile + age 0.845 62.9% 0.97 0.35

SPARE-AD 0.977 96.1% 0.96 0.96

Polygenetic profile + SPARE-AD 0.987 93.0% 0.98 0.89

MCI-C vs

MCI-NC

Polygenetic profile 0.641 52.7% 0.92 0.15

Polygenetic profile + age 0.618 51.4% 0.96 0.09

SPARE-AD 0.696 63.1% 0.89 0.38

Polygenetic profile + SPARE-AD 0.728 58.7% 0.97 0.22

Table 4

Correlation between predicted and actual age of AD diagnosis and cognitive

performance. RAVENSmaps are voxel-wisemeasures of atrophy. **P<.01.

Prediction Analysis Feature Set R2

Age of AD Diagnosis Polygenetic profile 0.05**

RAVENS 0.03**

RAVENS + polygenetic profile 0.07**

SPARE-AD 0.01

Modified ADAS-Cog score Polygenetic profile 0.11**

SPARE-AD 0.43**

Polygenetic profile + SPARE-AD 0.44**

MMSE score Polygenetic profile 0.04**

SPARE-AD 0.34**

Polygenetic profile + SPARE-AD 0.33**

P4-061 TRANSCRANIAL MAGNETIC STIMULATION–

BASED OBSERVATIONS IN PEOPLE WITH

CORTICAL DEMENTIAS

Sadanandavally Chandra1, Thomas Issac2, B Nagaraju3, 1National Institute

of Mental Health And Neuroscieces, Bangalore, India; 2National Institute of

Mental Health and Neurosciences(NIMHANS) India, Bangalore, India;3NIMHANS, Bangalore, India. Contact e-mail: thomasgregorissac@gmail.

com

Background:Cortical dementias are one of the commonest neurodegener-

ative diseases affecting people from their 5th decade onwards. Currently

there is no evidence to say the status of motor pathways and cortical in-

hibition in these conditions sub clinically.This study is to find out the sta-

tus of Central motor pathways in patients with cortical dementias and their

probable therapeutic implications. Methods: Inclusion criteria; 1. Patients

with cortical dementias without clinical or radiological evidence of involve-

ment of sub cortical structures.2.Mini mental score at least 20. 3. Willing-

ness obtained through informed consent.Exclusion-1. Patients with

seizures. 2. Presence of pacemakers, aneurysm clips etc. 3. MMSE scores

<20 6 consecutive patients fulfilling the above criteria were evaluated using

TMS using single pulse magnetic stimulation with figure of eight coil; the

right first dorsal interossei was the recording site. The motor threshold

was estimated for each patient on the opposite motor cortex by the following

method - 10 stimuli were applied and at least 5 complexes of more than

50mcV should be elicited. Supramaximal stimulus was applied and the la-

tency was calculated (T1). Second site of stimulation was cervical spine at

C7 and this latency was again calculated (T2).Central motor conduction

time is equal to T1-T2.Silent period was identified as follows; Patients

were asked to contract the index finger and a single threshold TMS pulse

was applied to the contra lateral motor cortex. The period of EMG arrest

from the end ofMEP to the appearance of EMGwas analyzed.Results:Cor-

tical threshold was reduced in 4 out of total 6 patients. Central motor con-

duction time was in the upper limit of normal in 5 out of 6 patients.

Conclusions: Cortical threshold was reduced in 4 out of total 6 patients.

Central motor conduction time was in the upper limit of normal in 5 out

of 6 patients. Most consistent observation was that silent period was reduced

and therewere escape discharges noticed during the silent period suggesting

increased cortical excitability and decreased cortical inhibition .This sug-

gests early asymptomatic changes in the GABAnergic system. This might

give some insight into the therapeutic role of GABA agonists in the manage-

ment of these patients.

P4-062 NEUROPSYCHOLOGICAL CHARACTERISTICS

OF PEOPLE WITH MILD COGNITIVE

IMPAIRMENT WITH ORWITHOUT DEPRESSION

Kwang Seok Jeong1, So YoungYoun1, Un Jung Cho2, Chan-Seung Chung3,

Seung Hyun Song1, Ki Hwa Nam1, Soo Young Bhang4, Joon Ho Ahn4,

Duk L. Na5, Seong Yoon Kim2, 1Psychiatry, Asan Medical Center, Seoul,

South Korea; 2Asan Medical Center, Seoul, South Korea; 3Gyeonggi

Provincial Yongin Geriatric Hospital, Yongin-si, South Korea; 4Psychiatry,

Ulsan University Hospital, Ulsan, South Korea; 5Samsung Medical Center,

Sungkyunkwan University School of Medicine, Seoul, South Korea.

Contact e-mail: [email protected]

Background: Depression in the elderly often accompany cognitive de-

cline, while dementia patients frequently have depressive symptoms.

Mild cognitive impairment (MCI) subjects also have depressive symp-

toms, but the effect of depression on the cognitive impairment in this

group has not been well understood. The authors compared the neuropsy-

chological profiles of MCI subjects with depression and those without.

Methods: Data of this research were collected from CREDOS dataset

(Clinical Research Center for Dementia of South Korea), which is a longi-

tudinal study to build up a hospital-based registry. Among 2,525 MCI sub-

jects recruited between December 2005 to February 2011 by 31

nationwide dementia centers, 366 MCI subjects at the both extreme

ends of depressive spectrum were analyzed. Cognitive functions were

evaluated with Seoul Neuropsychological Screening Battery (SNSB),