Istanbul University Hulusi Behçet Life Sciences Research Laboratory Neuroscience Unit. Tamer Demiralp

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1 Istanbul University Hulusi Behçet Life Sciences Research Laboratory Neuroscience Unit Tamer Demiralp

2 Istanbul Faculty of Medicine Cerrahpaşa Faculty of Medicine

3 I.U. Hulusi Behcet Life Sciences Research Laboratory has been recently built with support of Turkish Ministry of Development as a multidisciplinary research facility to host large-scale facilities for research in Neurosciences, Genomics, Biotechnology and Drug Research/Pharmaceutics. The research-dedicated 3 Tesla MRI system of the Neuroimaging Unit is installed in 2014 in Istanbul Faculty of Medicine.

4 MRI - Lab

5 Electrophysiology Labs EEG - Event Related Potentials / Oscillations Navigated Transcranial Magnetic Stimulation tdcs EEG Neurofeedback

6 Motivations Long-lasting background in human brain electrophysiology, EEG-Event- Related Potential/Oscillation studies. Oldest behavioural neurology reference center in Turkey with a patient admission rate of ~ 7000 patients/year from all the country and neighboring countries from the most common to the rarest of movement disorders, dementias and other neurobehavioral disorders. The Psychiatry Department of Istanbul Faculty of Medicine is one of the most established reference centers in Turkey: large patient groups with schizophrenia, depression, bipolar disorder, obsessive-compulsive disorder, ADHD etc. Multidisciplinary graduate program in Neurosciences (2007- ) with ~ 100 students. Tradition in multidisciplinary collaborative studies with scientists from technical (especially Biomedical Engineers from Bogazici University) and other fields and institutions, international collaborations.

7 TEAM Tamer Demiralp (Physiology) Hakan Gürvit (Neurology) Başar Bilgiç (Neurology) Haşmet Hanağası (Neurology) Aslı Demirtaş-Tatlıdede (Neurology) Mehmet Aygüneş (Linguistics) Elif Kurt (Neuroscience) Çiğdem Ulaşoğlu (Neuroscience) Ani Kıçik (Neuroscience) Emel Erdoğdu (Neuroscience)

8 COLLABORATORS Neuroscience Canan Başar-Eroğlu Pedro Valdes-Sosa Erdem Tüzün Mehmet Ergen Yasemin Keskin-Ergen Sinem Yıldız Ezgi Soncu Görkem Alban Özgür Yurtsever Neurology Murat Emre Öget Öktem Tanör Candan Gürses Görkem Şirin İpek Güngör Psychiatry Raşit Tükel Alp Üçok Deniz Büyükgök Hasan Bakay Ceylan Ergül Öznur Bülbül Engineering/Physics Ahmet Ademoğlu Esin Öztürk-Işık Aziz Uluğ Burak Acar Evren Özarslan Ali Bayram Adil Deniz Duru Dilek Göksel Duru Erhan Özacar Esin Karahan Basri Erdoğan Bora Cebeci Sencer Melih Deniz Moataz Assem Duygu Şahin

9 Real Team (PhD Students): Ani Kıçik, Emel Erdoğdu, Elif Kurt, Çiğdem Ulaşoğlu

10 Brain Research Society - Turkey

11 Sample Study Simultaneous EEG/fMRI analysis of the resonance phenomena in steady-state visual evoked responses. Clin EEG Neurosci Apr; 42(2): Bayram A, Bayraktaroglu Z, Karahan E, Erdogan B, Bilgic B, Ozker M, Kasikci I, Duru AD, Ademoglu A, Oztürk C, Arikan K, Tarhan N, Demiralp T. (supported by Tubitak project # 108S101)

12 Driven Rhythms A good way of producing synchronization patterns in the EEG that are stationary within the time scale of the BOLD response is to evoke steady-state evoked potentials.

13 Steady-State Visual Evoked Potentials Bayram et al., 2011

14 Frequency Selectivities Spontaneous vs Driven Forced Occipital Alpha Oscillators Resonance? Entrainment and Synchronization of Generators?

15 fmri: Random Effect Analysis 1,5 1,5 1, ,5 0,5 0,

16 EEG informed fmri: Random Effect Analysis of Correlations among Stimulation Frequencies fmri activities that can be explained by the EEG amplitude changes among stimulation frequencies in each of the 3 bands show that the frequency dynamics of the SSVEPs in the α and γ ranges are not correlated with the BOLD signal changes, while both EEG and BOLD responses strongly match in the β band. Frequency selective entrainment of EEG responses at specific stimulation frequencies within α and γ frequency ranges occurs with less metabolic cost leading to uncorrelated responses in specific ranges of stimulation frequency.

17 Running Projects

18 Composite network modeling of neurological/psychiatric disorders and application to Alzheimer s disease (funded by TÜBİTAK) Burak Acar, Alkan Kabakçıoğlu, Evren Özarslan, Caspar J. Goch, Hakan Gürvit, Başar Bilgiç, Aslı Demirtaş-Tatlıdede, Tamer Demiralp Partners: Bogăziçi University, Koç University, DKFZ Heidelberg Germany, Istanbul University fmri and dmri data will be collected from patients with Alzheimer s disease (AD) as well as their close relatives. Their structural networks (snets), functional networks (fnets) and composite snet-fnet network parameters will be used for the development of diagnostic methods. Aim of the project is to propose novel solutions to the open problems in snet modeling and snet-fnet interactions, as well as to apply these solutions to the AD modeling to facilitate early diagnosis and treatment planning / monitoring.

19 Determination of Multimodal Magnetic Resonance Imaging Based Biomarkers for Mild Cognitive Impairment in Parkinson Disease (funded by TÜBİTAK) Esin Öztürk-Işık, Başar Bilgiç, Haşmet Hanağası, Hakan Gürvit, Tamer Demiralp, Aziz Uluğ, Erdem Tüzün Integration of rs-fmri, dmri, ASL and MRSI data Partners: Boğaziçi University, Istanbul University Identification of biomarkers that indicate the presence of mild cognitive impairment (MCI) and the probability of its evolution into dementia using machine learning algorithms, by evaluating multimodal MR findings of patients diagnosed as PD-MCI, cognitively intact PD and healthy controls. Determination of neuroimaging parameters which are correlated with different genotypes of COMT (catechol-o-methyltransferase) and MAPT (microtubule-associates protein tau) genes thought to be assosciated with decline in specific cognitive domains. Parrallel running joint PhD project (Emel Erdoğdu, DAAD fellow from Bremen University) will evaluate similar measurements cross-sectionally on a patient group that includes PD patients with Dementia: Use of multimodal MRI techniques to derive a biomarker for tracking the pathological changes occurring at different stages of cognitive decline in Parkinson s disease in a cross-sectional study design.

20 Implicit memory in patients with spinocerebellar ataxia and its structural and functional connectivity correlations (funded by TÜBİTAK) Çiğdem Ulaşoğlu, Hakan Gürvit, Başar Bilgiç, Haşmet Hanağası, Aslı Demirtaş-Tatlıdede, Tamer Demiralp Istanbul University Resting-state and task-based fmri and dmri data will be collected from patients with spinocerebellar ataxia (SCA) and healty controls. Aims: - to investigate the intrinsic connectivity networks (ICNs) related with implicit associative learning, - to investigate the contribution of cerebellum to implicit associative learning specifically by investigating its structural connectivities with cerebral cortex and striatum, - to reveal how the functional and structural connectivities are altered by cerebellar degeneration in SCA.

21 STUDIES ON NEUROLOGICAL AND NEURODEGENERATIVE DISEASES Affective personality characteristics as a risk factor in Alzheimer's disease and their neurobiological basis Başar Bilgiç, Ezgi Soncu, Hakan Gürvit, Öget Öktem Tanör, Burak Acar Partners: Istanbul University, Boğaziçi University (second stage application to TUBITAK call on Neurodegenerative Diseases) Resting-State fmri and dmri Apathy and frontal lobe functions in patients with Alzheimer's dementia Deniz Büyükgök, Işın Baral-Kulaksızoğlu, Hakan Gürvit Resting-State and task-based fmri (emotional facial expressions + IAPS) Evaluation of the interhemisferic functional and structural connectivities in patients with temporal lobe epilepsy Görkem Şirin, Candan Gürses, Tamer Demiralp Resting-State fmri and dmri

22 STUDIES ON PSYCHIATRIC DISORDERS Investigation of functional magnetic resonance imaging findings in patients with social anxiety disorder Resting-State fmri Comparison of functional magnetic resonance imaging findings in patients with obsessive compulsive disorder (OCD) and healthy controls Resting-State fmri and task-based fmri Comparison of functional magnetic resonance imaging findings between individuals at high risk for psychosis and healthy controls Resting-State fmri and task-based fmri

23 STUDIES ON COGNITIVE AND SOCIAL NEUROSCIENCE Neural Correlates of Self-Identification Task-based fmri Investigating the impact of the emotional facial expressions on decisionmaking performance at Iowa Gambling Test using functional neuroimaging methods Task-based fmri Neural dynamics of absolute and context-dependent visual judgements of individualistic and communitarian people Task-based fmri

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