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<meta http-equiv="Content-Type" content="text/html; charset=Windows-1252"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; color: rgb(0, 0, 0); font-size: 14px; font-family: Calibri, sans-serif; "><div><br></div><span id="OLK_SRC_BODY_SECTION"><div xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40"><div lang="EN-US" link="blue" vlink="purple"><div class="WordSection1"><p class="MsoNormal"><o:p> </o:p></p><p class="MsoNormal" align="center" style="text-align:center;background:white"><span style="font-size: 9.5pt; font-family: Arial, sans-serif; color: rgb(34, 34, 34); "><img width="436" height="57" id="Picture_x0020_1" src="cid:image001.png@01D3061F.044C52E0" alt="unnamed"><o:p></o:p></span></p><p class="MsoNormal" style="margin-top:.45pt;line-height:10.0pt;background:white"><span style="font-size: 10pt; font-family: Arial, sans-serif; color: black; "> </span><span style="font-size: 9.5pt; font-family: Arial, sans-serif; color: rgb(34, 34, 34); "><o:p></o:p></span></p><p class="Default"><o:p> </o:p></p><p class="Default" align="center" style="text-align:center"><b><span style="font-size:11.5pt">Ph.D. Dissertation Defense<o:p></o:p></span></b></p><p class="Default" align="center" style="text-align:center"><o:p> </o:p></p><p class="Default" align="center" style="text-align:center"><b><span style="font-size:16.0pt">Investigation of Spatio-Spectral Dynamics of Local Field</span></b><span style="font-size:16.0pt"><o:p></o:p></span></p><p class="Default" align="center" style="text-align:center"><b><span style="font-size:16.0pt">Potentials in Parkinson’s Disease</span></b><span style="font-size:16.0pt"><o:p></o:p></span></p><p class="Default" align="center" style="text-align:center"><b><span style="font-size:14.0pt"><o:p> </o:p></span></b></p><p class="Default" align="center" style="text-align:center"><b><span style="font-size:14.0pt">Ilknur Telkes</span></b><span style="font-size:14.0pt"><o:p></o:p></span></p><p class="Default" align="center" style="text-align:center"><b><span style="font-size:11.5pt;color:red"><o:p> </o:p></span></b></p><p class="Default" align="center" style="text-align:center"><b><span style="font-size:11.5pt;color:red">08/03/2017</span></b><span style="font-size:11.5pt;color:red"><o:p></o:p></span></p><p class="Default" align="center" style="text-align:center"><b><span style="font-size:11.5pt;color:red">10:00 AM<o:p></o:p></span></b></p><p class="Default" align="center" style="text-align:center"><b><span style="font-size:11.5pt;color:red">HBSB-Room 350</span></b><span style="font-size:11.5pt;color:red"><o:p></o:p></span></p><p class="Default" align="center" style="text-align:center"><b><span style="font-size:11.5pt"><o:p> </o:p></span></b></p><p class="Default"><b><span style="font-size:11.5pt">Committee Chair: </span></b><span style="font-size:11.5pt">Dr. Nuri Firat Ince<b><o:p></o:p></b></span></p><p class="Default"><b><span style="font-size:11.5pt">Committee Members: </span></b><span style="font-size:11.5pt">Dr. Ahmet Omurtag, Dr. Yingchun Zhang,<o:p></o:p></span></p><p class="Default"><span style="font-size:11.5pt">Dr. Vallabh E. Das, Dr. Ashwin Viswanathan</span><span style="font-size: 11.5pt; font-family: 'Times New Roman', serif; ">,<o:p></o:p></span></p><p class="Default"><span style="font-size:11.5pt">Dr. Joohi Jimenez-Shahed<o:p></o:p></span></p><p class="Default"><span style="font-size:11.5pt"><o:p> </o:p></span></p><p class="Default"><b><span style="font-size:11.5pt">ABSTRACT: </span></b><span style="font-size:11.5pt"><o:p></o:p></span></p><p class="Default" style="text-indent:.5in"><span style="font-size:11.5pt;color:#212121">Parkinson’s disease (PD) is characterized by the progressive loss of dopaminergic nigral neurons resulting in serious motor and non-motor deficits. Deep brain stimulation (DBS) of the subthalamic nucleus (STN) has emerged as an effective neurosurgical treatment for the patients with PD where their motor symptoms cannot be controlled with medications. Accurate localization of STN is an important factor defining the efficacy of DBS. The most common targeting method in DBS surgery is the microelectrode single unit activity recording which is performed by listening to bursting firing patterns of individual neurons to identify the basal ganglia (BG) structures. However, it requires significant expertise and is fraught by potential technical difficulties. On the other hand, local field potentials (LFPs), owing to their oscillatory and robust nature, can overcome these technical issues. In this regard, we recorded LFPs from multitrack <i>microelectrodes and macroelectrode </i>in PD patients who underwent DBS surgery. We demonstrated for the first time that combination of different subband features derived from beta and high frequency oscillations (HFOs) of LFPs can be used to estimate the optimal track for DBS implantation and to identify the dorsal STN border with high accuracy. These results <o:p></o:p></span></p><p class="Default"><span style="font-size:11.5pt;color:#212121">establish the initial evidence that LFPs can be strategically fused with computational intelligence in the operating room to increase the chance of optimal placement of the DBS electrode within the motor sub-territory of the STN, without an appreciable downside. <o:p></o:p></span></p><p class="Default" style="text-indent:.5in"><span style="font-size:11.5pt;color:#212121">We also investigated the spatio-spectral patterns of LFPs in the most commonly accepted subtypes of PD-tremor dominant (TD) and postural instability and gait difficulty (PIGD). Studies have shown that patients with TD-PD have a relatively slow disease progression and the annual increase in symptom severity in PIGD is larger. In particular, severe cognitive dysfunction is consistently seen in PD patients with late-onset or in PIGD patients while TD-PD patients or those with young-onset show either no cognitive impairment or less. Despite the differences between these phenotypes shown by different modalities, as of today, no underlying neural correlates have been identified. Here we show that activity in the subbands of LFPs recorded with microelectrodes from sub-territories of the STN provide distinguishing neurophysiological information about these phenotypes.<o:p></o:p></span></p></div></div></div></span><style><!--
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