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Poster Sessions<br />

1958. Resting-State FMRI Contributes to Differentiate Patients with Dementia with Lewy Bodies from Those<br />

with Alzheimer's Disease<br />

Barbara Basile 1 , Mara Cercignani 1 , Laura Serra 2 , Roberta Perri 3 , Camillo Marra 4 , Lucia Fadda 3 , Carlo<br />

Caltagirone 3,5 , Marco Bozzali 2<br />

1 Neuroimaging Laboratory, Santa Lucia Foundation, Rome , Italy, Italy; 2 Neuroimaging Laboratory, Santa Lucia Foundation, Rome,<br />

Italy, Italy; 3 Clinical and Behavioural Neurology Laboratory, Santa Lucia Foundation, Rome, Italy, Italy; 4 Department of<br />

Neurosciences, Catholic University of Rome, Roma, Italy, Italy; 5 Department of Neurosciences , University of Torvergata, Rome,<br />

Italy, Italy<br />

Resting-state fMRI was used to investigate changes of functional connectivity (FC) within specific resting-state networks (RSNs) in the presence of<br />

Alzheimer's disease (AD) and dementia with Lewy Bodies (DLB) as compared to normal aging. Using ICA analysis, we identified 10 RSNs across subjects.<br />

AD patients revealed reduced FC in the posterior cingulate, within the default-mode-network. Conversely, DLB patients showed reduced FC in occipital<br />

areas, within the visual network. These findings respectively account for brain disconnection between medial temporal lobes and other association cortexes<br />

in the development of AD symptoms, and for occipital abnormalities potentially responsible for visual hallucinations in DLB.<br />

1959. On Using Optimized MRS Acquisitions for Improved Mild Cognitive Impairment Diagnosis<br />

Ileana Hancu 1 , John Cowan 2 , Earl Zimmerman 2<br />

1 GE Global Research Center, Niskayuna, NY, United States; 2 Albany Medical Center, Albany, NY, United States<br />

Accurate and repeatable mI measurements may offer a simple means for diagnosing or monitoring treatment in mild cognitive impairment (MCI) patients.<br />

Unfortunately, such repeatable measurements are difficult to obtain in vivo. The current report investigates the capability of CPRESS to better separate MCI<br />

subjects from normal controls (NC’s). With only 12 subjects in each of the MCI and NC categories, p-values separating the two classes decrease from 0.03<br />

to 0.002 when using CPRESS instead of a short TE PRESS sequence. The impact of more repeatable mI concentration measurements in diagnosing or<br />

monitoring MCI evolution or treatment is discussed.<br />

1960. Classification of AD, MCI and Controls Using Large-Scale Network Analysis<br />

Gang Chen 1 , Barney Douglas Ward 1 , Chunming Xie 1 , Zhilin Wu 1 , Wenjun Li 1 , Jennifer Jones 2 , Malgorzata<br />

Franczak 2 , Piero Antuono 2 , Shi-Jiang Li 1<br />

1 Department of Biophysics,, Medical College of Wisconsin, Milwaukee, WI, United States; 2 Department of Neurology, Medical<br />

College of Wisconsin, Milwaukee, WI, United States<br />

There has been great interest in developing objective biologically based markers that can be used to predict risk, diagnose, stage, or track the course and<br />

treatment of dementia and other neurodegenerative diseases. Alzheimer disease (AD) is the most common form of dementia. Mild cognitive impairment<br />

(MCI) is a transitional state between normal aging and dementia, and is often considered a risk factor for AD. In this study, we employed resting-state MRI<br />

connectivity methods and the large-scale network analyses to discriminate between AD, MCI and healthy control subjects.<br />

1961. Investigating Parkinson’s Disease Using Rotating Frame MRI<br />

Silvia Mangia 1 , Timo Liimatainen 2 , Igor Nestrasil 3 , Michael Garwood 1 , Paul Tuite 3 , Dennis Sorce 1 , Shalom<br />

Michaeli 1<br />

1 CMRR - Dept. of Radiology, University of Minnesota, Minneapolis, MN, United States; 2 Department of Biotechnology and<br />

Molecular Medicine, A.I. Virtanen Institute for molecular Medicine, University of Kuopio, Kuopio, Finland; 3 Dept. of Neurology,<br />

University of Minnesota, Minneapolis, MN, United States<br />

Rotating frame relaxation (T1rho and T2rho) were measured under a variety of RF pulses (namely continuous-wave, and frequency swept pulses in the<br />

adiabatic and subadiabatic regime) on twenty one Parkinson's disease (PD) subjects at 4T. Results demonstrate that different RF pulses significantly<br />

modulate the rotating frame relaxations in the substantia nigra (SN), providing the opportunity to extract fundamental parameters of the system based on<br />

theoretical modeling of the relaxation channels. The greatest sensitivity to identify sub-regions of the SN was achieved by the so-called RAFF pulse, which<br />

combines T1rho and T2rho relaxation mechanisms. Measurements from ferritin samples were additionally performed.<br />

1962. Parkinson¡¯s Disease and Imaging of the Substantia Nigra Structure with 7.0T MRI<br />

Dae-Hyuk Kwon 1 , Hye-Jin Jeong 1 , Se-Hong Oh 1 , Jong-Min Kim 2 , Syung-Yeon Park 1 , Young-Bo Kim 1 ,<br />

Beom-Seok Jeon 2 , Zang-Hee Cho 1<br />

1 Neuroscience Research Institute, Gachon University of Medicine and Science, Incheon, Korea, Republic of; 2 Movement Disorder<br />

Center, Seoul National University Hospital, Seoul, Korea, Republic of<br />

T2* weighted MR image is influenced by iron deposition, so that SN shows up iron-related MRI contrast for all that SN is gray matter. Therefore T2* MR<br />

imaging shows great potential in PD study using ultra high field (UHF) 7.0T. And 3D T2* Gradient Echo (GE) sequence makes it possible to study a<br />

volumetric analysis and a structural morphometry for SN. This method is validated, despite the reduced SNR associated with fast imaging techniques. And<br />

3D model of the SN shows quite well structural changes in PD case.<br />

1963. Perfusion Networks in Parkinson’s Disease Revealed Using Arterial Spin Labeling<br />

Tracy R. Melzer 1,2 , Richard Watts, 1,3 , Michael R. MacAskill 1,2 , Ross Keenan 4 , Ajit Shankaranarayanan 5 ,<br />

David C. Alsop 6 , Charlotte Graham 1,2 , Leslie Livingston 1 , John C. Dalrymple-Alford, 1,7 , Tim J. Anderson 1,2<br />

1 Van der Veer Institute for Parkinson's and Brain Research, Christchurch, New Zealand; 2 Medicine, University of Otago,<br />

Christchurch, New Zealand; 3 Physics and Astronomy, University of Canterbury, Christchurch, New Zealand; 4 Christchurch Radiology<br />

Group, Christchurch, New Zealand; 5 GE Healthcare, Menlo Park, CA, United States; 6 Beth Israel Deaconess Medical Center, Boston,<br />

MA, United States; 7 Pyschology, University of Canterbury, Christchurch, New Zealand<br />

Pseudo-continuous ASL was used to investigate cerebral blood flow in 44 Parkinson’s disease (PD) patients and 26 controls. Principal component analysis<br />

produced a set of covariance patterns which were used to form a perfusion network that successfully distinguished PD from control. The PD-related network

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