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Fwd: Postdoctoral Position in MULTIMODAL IMAGING OF NETWORK CONNECTIVITY IN AUTISM

by Gary Green

The Brain Development Imaging Laboratory (BDIL) at the Dept. of Psychology, San Diego State University, is offering 1-2 NIH-funded postdoctoral positions in functional connectivity MRI and related techniques. Current research at BDIL applies fMRI, functional connectivity MRI, diffusion-tensor and restriction spectrum imaging, MR spectroscopy, and volumetric MRI, as well as behavioral and neuropsychological measures to investigate biomarkers in children with autism spectrum disorders (ASD). BDIL (www.sci.sdsu.edu/bdil) collaborates with MR physics, EEG, MEG, and other groups at the University of California, San Diego (UCSD), and has full access to the UCSD Center for Functional MRI (http://fmri.ucsd.edu/), which houses two research-dedicated 3T human scanners. Work will include two newly funded NIH projects using combined MEG, fcMRI, and DTI as well as simultaneous EEG/fMRI acquisition for dynamic functional connectivity studies of ASD. Applicants should have experience in functional MRI and functional connectivity MRI (data acquisition, preprocessing, analysis). Experience in data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI, MRS; EEG, MEG), and in multimodal integration will be relevant, but not indispensable. Applicants who have experience in the study of children (especially those with autism) may be preferred. Please e-mail CV, research statement, reprints, and 3 letters to Ralph-Axel Müller at: rmueller(a)mail.sdsu.edu.

10 years, 10 months

Fwd: Research assistant position in the area of EEG, eye tracking, and brain–machine interfaces at CITEC, Bielefeld University, Germany

by Gary Green

The Neuroinformatics Group and Neurocognition and Action Group at the Center of Excellence “Cognitive Interaction Technology” (CITEC, Bielefeld University, Germany) invite applications for an open research assistant position (PhD student or PostDoc, 100% E 13 TV-L) in an interdisciplinary project in the area of EEG, eye tracking, and brain–machine interfaces. We are seeking an outstanding candidate who is interested in multi-modal interface design and data analysis, machine learning, signal processing and brain-machine interfaces. We are particularly interested in applicants with background and training in computer science, electrical engineering or related fields. Successful candidates must hold a MSc degree (or equivalent) in computer science or a related field. Applicants are expected to have experience with signal processing and machine learning techniques on (neuro)physiological data as well as very good programming skills (C++, MATLAB, Python). Experience with experimental work (EEG and/or eye tracking studies) is desired, but not obligatory. We expect a high motivation to work in an interdisciplinary team, the ability to work independently, strong interpersonal skills as well as a good command of English. Knowledge of German is not essential. The position is initially funded for one year and can be extended for two more years. The payment is based on E 13 TV-L. The successful candidate is expected to start work on 01 November 2014. The position is embedded in the Neuroinformatics Group within CITEC at Bielefeld University. It involves a close collaboration with the Neurocognition and Action Group. CITEC provides a unique environment to perform cutting-edge research in an international context. Applicants will receive structured supervision and support through the collaboration with the project partners at CITEC, in particular Prof. Dr. Helge Ritter (Neuroinformatics Group) and Prof. Dr. Thomas Schack (Neurocognition and Action Group). Applications should be sent electronically (in one pdf document) to Dipl.-Inform. Andrea Finke (afinke(a)techfak.uni-bielefeld.de) and must include a cover letter, curriculum vitae and a motivation letter. Review of applications will begin on September 15, 2014 and will continue until the position is filled. Inquiries about the position may be directed to Dipl.-Inform. Andrea Finke. Bielefeld University has received a number of awards for its achievements in the provision of equal opportunity and has been recognized as a family friendly university. Applications from suitably qualified handicapped and severely handicapped persons are expressly encouraged. Bielefeld University encourages applications from women. All applications are handled according to the provisions of the state equal opportunity statutes. Dipl.-Inform. Andrea Finke Neuroinformatics Group, Technical Faculty EXC Cognitive Interaction Technology (CITEC) Research Institute for Cognition and Robotics (CoR-Lab) Bielefeld University, Germany Office: CITEC building 3.225 Labs: 3.044/45 Phone: +49 (0) 521 106-12116 Fax: +49 (0) 521 106-1512116 Web: http://www.cit-ec.de http://www.cor-lab.de http://www.neuroinformatik.de _______________________________________________ Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html To unsubscribe, send an empty email to eeglablist-unsubscribe(a)sccn.ucsd.edu For digest mode, send an email with the subject "set digest mime" to eeglablist-request(a)sccn.ucsd.edu

10 years, 10 months

Fwd: PhD position in Psycho-/Neurolinguistics, University of Salzburg & CCNS

by Gary Green

Dear colleagues, Please find below the offer for a PhD student position in Psycho-/Neurolinguistics in my laboratory, to begin in October 2014 (or possibly later). Please feel free to forward this announcement to those on your team who you believe might be interested in the position. Best regards, Dietmar *The newly established research group "Neurobiology of language" in the Department of Linguistics at the University of Salzburg (Austria) conducts research on online language processing, also in interaction with other cognitive sub-systems.* In the context of a project on neurocognitive correlates of language acquisition/L1-L2/Bilingualism we invite applications for the following position: * *1 PhD position* * B1 Uni-KV §26 (75%) * ? 1.961,85 gross (14x annually) * The position is for *4 years* We are searching for candidates with a background in Linguistics and/or Psychology with a focus on Psycho- and/or Neurolinguistics. Previous experience in experimental research and/or in collecting and analyzing EEG and/or eye-tracking data is desirable but not mandatory. The candidate will be expected to undertake a PhD degree within the context of the project, and design, implement, and analyze experiments (EEG/eye tracking/fNIRS) on the project topic with native speakers. S/he will also be expected to write up the results for publication. Contribution to administration and teaching (max. 2 hours per term week) may be required. Applicants are expected to have the following skills: * Master's degree in Psycholinguistics, Cognitive Neuroscience, Psychology, Linguistics, or a related discipline * Excellent command of both English and German; additional knowledge of Russian is a plus. Native knowledge of one of the three languages is desired * Demonstrated ability and high motivation to conduct high-quality research publishable in quality international peer-reviewed journals * Familiarity with experimental research designs * Good knowledge of statistics or commitment to acquire it * Dynamic and motivated * Capacity to work both independently and as part of a team * Solid programming skills (i.e., MATLAB® and/or R) are a plus * Familiarity with the concept and analysis of oscillatory brain activity is a plus The successful candidate will participate in the activities of the newly established *Centre for Cognitive Neuroscience* (CCNS), and can apply for the international *PhD program* ?Imaging the Mind <http://www.uni-salzburg.at/index.php?id=87>? as an associated student (second funding period expected to begin October 2015). The CCNS promotes a rich research environment and provides access to the most advanced behavioral and neuroimaging techniques, including 3 Tesla MRI, compatible EEG, TMS/navigation, high-density, depth and conventional EEG, tDCS, fNIRS, eye tracking, somatic physiology systems, several well-equipped behavioral labs and an MEG which will be operational in 2016. The CCNS equipment is exclusively dedicated to research, which provides a unique opportunity for graduate students to have generous access to such equipment for learning these modern techniques and using them in their research. We welcome applications from handicapped people. We particularly welcome applications from women. Given equal suitability, qualifications and professional achievement women will be given preference, unless particular circumstances pertaining to a male applicant predominate. Applicants should submit relevant documents (a detailed curriculum vitae, a photo, a copy of their Master's certificate, names of two referees, a letter of motivation detailing the candidate's particular scientific experience, knowledge, competencies and interests). The *deadline *for application submission is *September 9th, 2014* Please send your application documents as a single pdf file via E-Mail with the subject heading ?*GZ A 0104/1-2014*? to: dietmar.roehm(a)sbg.ac.at <mailto:dietmar.roehm@sbg.ac.at>. For questions please contact: Prof. Dr. Dietmar Roehm Department of Linguistics & Centre for Cognitive Neuroscience University of Salzburg Erzabt-Klotz-Straße 1 A-5020 Salzburg Website: http://www.uni-salzburg.at/spr/roehm (p) +43-662-8044-4271 (e) dietmar.roehm(a)sbg.ac.at <mailto:dietmar.roehm@sbg.ac.at>

10 years, 10 months

Fwd: PhD position in Amsterdam, The Netherlands

by Gary Green

Dear all, We are seeking talented candidates for a PhD position working with our team at the Department of Psychiatry at the VU University Medical Center in Amsterdam, The Netherlands. For details please see below. Please liberally forward to possibly interested candidates. Deadline for applications is September 7, 2014. Best wishes, Lianne Schmaal ----------------------------------------------------------- *The project* The focus of the proposed PhD project is two-fold; First, the PhD student will will employ advanced computational and statistical methods to evaluate the prognostic value of neuroimaging modalities, biomarker, genetic, environmental and clinical characteristics and their combination to classify the course of depression and anxiety. A second part of the project focuses on employing these methods to disentangle phenotypic heterogeneity of depression by identifying different subtypes based on a rich set of neuroimaging and clinical data and biological protein information, and by exploring the genetic basis of different subtypes and their association with course of depression and treatment response. For these purposes, you will work with data from the Netherlands Study of Depression and Anxiety (_www.nesda.nl_ <http://www.nesda.nl>) in which an extensive battery of detailed longitudinal clinical, biomarker, neuroimaging and genetic data have been collected in a large cohort. You will also work with similar data from other international cohorts, and with data from the MOTAR study (_www.motar.nl_ <http://www.motar.nl>) in which the effects of antidepressant and running treatments are examined. This project will integrate across these data-sources using a variety of methods, including the application of supervised and unsupervised machine learning techniques. You will be involved in the processing of neuroimaging data (structural MRI, functional MRI), associating these data with biomarker, clinical and genetics information and using machine learning methods to classify the patients. You will be working in a multidisciplinary team with young and enthusiastic researchers, who have expertise in psychiatry, genetics, neuroimaging, statistics/engineering and epidemiology. *Your challenge * As a PhD Student your main tasks and responsibilites are: • Help examine predictors of the naturalistic course and treatment response in depression and anxiety; • Identifying subtypes of depression and anxiety based on multimodal data sources; • Apply unsupervised and supervised machine learning methods, such as Support Vector Machine and/or probabilistic methods, to genetic, multi-modal neuroimaging, clinical and environmental data from the NESDA study, the MOTAR study and other international cohorts; • Write various scientific papers on the above topics, and complete your research with a PhD thesis. *Your profile* We are looking for a highly motivated and enthusiastic researcher with a strong interest in psychopathology who has the following background and experience: • A strong numerate background (i.e. a Master's degree in computer science, mathematics, engineering, medical image analysis or related discipline), preferably with emphasis on machine learning, pattern classification, and/or multivariate image analysis; • Experience with neuroimage analysis or with (bio) statistics is desirable; • You have excellent statistical and strong computer programming skills (good command of LINUX, scripting, and Matlab); • You have excellent communications skills in English, both written and verbal; • Having experience in writing (international) publication(s) is a plus. *Benefits* Salary Scale: OIO (EUR 2.200 in the first year that increases to EUR 2.818 gross per month in the fourth year, based on 36 hours per week). We also offer a set 8.3% end-of-year bonus and 8% holiday pay. For more information about our fringe benefits, please visit _http://www.werkenbijvumc.nl/vumc/arbeidsvoorwaarden/_ (Dutch version). The PhD position is for four years, you will start with a contract for 12 months. *Additional information* The Department of Psychiatry of the VU University Medical Center (VUMC) and GGZ inGeest collaborately conduct research, education and academic patient care. The main focus is on depression and anxiety disorders, two common psychiatric disorders with high public health impact. Psychiatric research is embedded in two VU research institutes: EMGO+ and Neuroscience Campus Amsterdam. In this research area more than 150 persons from different disciplines (e.g. psychiatry, psychology, health science) collaborate. *Interested?* For more information you can contact dr. Lianne Schmaal, via telephone number: +31(0)20 – 788 4592 <tel:%2B31%280%2920%20%E2%80%93%20788%204592>. For more information about the application procedure you can contact mr. Wessel Haytink, recruiter, via telephone number: +31(0)6 – 1066 7718. Please submit your candidacy by latest *September 7, 2014* with reference number D2.2014.00077WH via the following link: _http://bit.ly/PhDMachineLearning_ ----------------------------------------------------------- -- Lianne Schmaal, PhD GGZ inGeest/Department of Psychiatry VU University Medical Center P.O. Box 74077 1070 BB Amsterdam The Netherlands Tel: +31-207884592 email: lianschmaal(a)gmail.com <mailto:lianschmaal@gmail.com>, l.schmaal(a)ggzingeest.nl <mailto:l.schmaal@ggzingeest.nl>

10 years, 10 months

Fwd: PhD and Postdoctoral positions in Majorca, Spain

by Gary Green

One PhD and one Postdoctoral research positions are available at the Department of Psychology (University of Balearic Islands, Spain) to join an ongoing project on the Cognitive neuroscience of executive control aimed to assess functional and effective connectivity (e.g., Dynamic Causal Modeling) in M/EEG data sets from healthy controls and brain injured patients. The project aims to develop state-of-the-art neuropsychological tools for a more valid and cost-effective evaluation of dysexecutive symptoms in elderly adults and patients with frontal lobe lesions (cf., BarcelÃ³ & Knight, Cereb. Cortex, 2007; Nyhus & BarcelÃ³, Brain & Cognition, 2009).Â Successful pre/postdoctoral candidates will hold a MSc/PhD in Psychology, Biology, Cognitive Neuroscience, Physics, or related fields, and will play a key role in designing, conducting, analyzing and reporting M/EEG studies, with a focus on event-related potentials, oscillatory neural activity and synchrony. Candidates will be fluent in English (knowledge of Spanish is not required), and will prove good interpersonal and communication skills, including writing to a high standard. Both positions are funded by the Spanish Government (MINECOâ??s grant PSI2013-44760-R), as well as other local research agencies.Â Requirements for the PhD student position: 1) EU citizenship; 2) a Master degree and excellent academic marks; 3) Programming skills (eg., Matlab will be a plus); and 4) Demonstrated ability and high motivation to conduct high-quality research publishable in quality international peer-reviewed journals. Requirements for the Postdoc position: 1) Strong background publishing EEG and/or MEG studies; 2) Advanced programming skills (eg., Matlab, C, Python); 3) Excellent command of EEG/MEG data analysis software (EEGLAB, SPM8, Â Brainstorm, etc); and 4) demonstrate creative and independent work.Â Applicants must submit an updated CV in pdf format, a letter of motivation, and the names and emails of two referees to the grant holder: Francisco BarcelÃ³ (f.barcelo(a)uib.es <mailto:f.barcelo@uib.es>). The PhD studentship is for 3 years, and the postdoc position is for one year, with the possibility of renewal. Starting date October 1st 2014, or until the positions are filled. Informal inquires are welcomed. For more information visit: www.mcst.es <http://www.mcst.es>, or www.neuropsicologiaclinica.es <http://www.neuropsicologiaclinica.es>.Â ><><><><><><><><><><><><><>< Francisco BarcelÃ³, PhD Full Professor of Neuropsychology University of Illes Balears (UIB) Ctra. Valldemossa, km 7.5 E-07122 Palma de Mallorca - Spain Personal:Â www.mcst.es <http://www.mcst.es> Lab:Â www.neuropsicologiaclinica.es <http://www.neuropsicologiaclinica.es>Â Phone: 971 172750 Fax: 971 172309 ><><><><><><><><><><><><><><

10 years, 10 months

Fwd: International PhD Course in Molecular Medicine, Experimental Neurology Section, San Raffaele Hospital, Milan, Italy.

by Gary Green

The Neuroimaging Research Unit, Vita-Salute San Raffaele University, Milan, Italy, headed by Prof. Massimo Filippi, is looking for graduate students interested in a three-year PhD program in the frame of the International PhD Course in Molecular Medicine, Experimental Neurology Section. Titles and Directors of Study of the programs are the following: 1. Network degeneration in motor neuron diseases (MND): a study of the structural and functional connectomes in amyotrophic lateral sclerosis and other MND. Prof. Massimo Filippi 2. Brain plasticity in multiple sclerosis. Prof. Massimo Filippi 3. Investigation of the functional and structural correlates of cognitive network function in pediatric MS patients. Dr Maria A. Rocca 4. Cervical cord atrophy as a tool for monitoring disease evolution and for predicting long-term disability in patients with multiple sclerosis. Dr Maria A. Rocca 5. The morphological, microstructural and functional MRI correlates of motor, cognitive and neurobehavioral impairment in patients with movement disorders. Dr. Federica Agosta 6. Multimodal magnetic resonance imaging diagnosis of frontotemporal lobar degeneration (ftld): using supervised machine learning techniques to classify individual FTLD and Alzheimer's disease patients. Dr. Federica Agosta The lab has a strong background in multiple aspects of neuroimaging from sequence programming and software design to the analysis of structural and functional images from patients with different disorders of the central nervous system. The candidate will join a group with multiple interests in the field in a positive and productive environment. The ideal candidate should have expertise in the acquisition and analysis of advanced MRI techniques (volumetric, diffusion tensor MRI and functional MRI). Expertise in voxel-based morphometry, tract-based spatial statistics, resting state and active fMRI analyses would be an advantage. She/he will have a good team-working attitude, be self-motivated and have a strong interest in pursuing research in a stimulating and competitive field of science. Admission requirements and procedures are described at http://www.unisr.it/view.asp?id=8802 Deadline for application submission is 11 September 2014. <http://www.5xmille.org/> Disclaimer added by *CodeTwo Exchange Rules 2007* www.codetwo.com <http://www.codetwo.com>

10 years, 10 months

Fwd: job opening in cog neuro at Lehigh

by Silvia Gennari

Begin forwarded message:

10 years, 10 months

Fwd: Research Fellow (Fixed-term) in Clinical Neuroscience

by Gary Green

please find below a job posting on behalf ofmy colleagues at the Nottingham Hearing Biomedical Research Unit (NHBRU). Please get in touch with them directly if you have questions! ----------------------------------------------------------------------------------------------------------------------------------------- *Research Fellow (Fixed-term)* ** *Reference *MED222214 ** *Closing Date *Tuesday, 23rd September 2014 ** *Job Type *Research & Teaching ** *Department *Clinical Neuroscience ** *Salary *£28,695 to £37,394 per annum, depending on skills and experience. Salary progression beyond this scale is subject to performance.* * The main causes of tinnitus are noise-induced and age-related hearing loss which can result from a lifetime’s exposure to occupational or social noise. These impairments to the inner ear cause changes in the way that the hearing brain processes sound information. We are now seeking to appoint a Research Fellow to a multi-disciplinary clinical trial team whose role is to deliver a Phase II trial evaluating the clinical efficacy of a novel drug for subjective tinnitus. This trial is funded by the Technology Strategy Board in partnership with a London-based company – Autifony Therapeutics and working closely with a contract research organisation based in Belgium. Autifony Therapeutics Limited is pioneering the development of drug treatments for hearing disorders and is sponsoring this clinical trial across England to investigate the efficacy of a new drug in the treatment of tinnitus. Outcome measures to be used include psychoacoustic measures, self-report, electroencephalography and ABR. The role holder will be involved in all aspects of research including development, design, implementation and dissemination of research findings but particularly the electroencephalography and auditory brainstem response. The study will be conducted in a close collaborative relationship with the Medical Research Council Institute of Hearing Research and this post will be co-supervised across organisations. Candidates should have a PhD or equivalent in a relevant scientific discipline. Training and skills in quantitative research methods are essential including digital signal processing and experience of electrophysiology or other objective measurements. Candidates should also have an excellent working knowledge of relevant IT operating systems and software packages (including Windows and Microsoft Office) with a good working knowledge of how to implement statistical software to analyse and interpret experimental data especially Matlab. Candidates should also possess excellent communication skills demonstrating an ability to communicate on all levels within a multi-disciplinary team. Project management skills, demonstrating attention to detail. Excellent organisation and planning are also essential along with good data management and database skills. The successful candidate will have made a substantial scientific contribution to manuscripts for publication in peer-reviewed journals and will be developing a recognised national reputation in a relevant field. This full-time post will be offered on a fixed-term contract until 31 May 2016. This post is open to job share. Informal enquiries may be addressed to Professor Deb Hall, Director of the BRU and Research Lead for the Tinnitus etiology and management research area tel: +44 (0) 115 823 2600 or email: deborah.hall(a)nottingham.ac.uk <mailto:deborah.hall@nottingham.ac.uk> Please note that applications sent directly to this Email address will not be accepted. It is a condition of this post that satisfactory enhanced disclosure is obtained from the 'Disclosure and Barring Service'. For more details and/or to apply on-line please access: http://www.nottingham.ac.uk/jobs/currentvacancies/ref/MED222214. If you are unable to apply on-line please contact the Human Resources Department, tel: 0115 95 15206.

10 years, 10 months

Fwd: Tenure-track faculty position at The Division of Schizophrenia Research, Rutgers University

by Gary Green

The Division of Schizophrenia Research at Rutgers Biomedical and Health Sciences (RBHS), located in Piscataway, NJ, is looking to hire a full-time faculty member at the Instructor or Assistant Professor level.Â Within RBHS there would be appointments at Rutgers-Robert Wood Johnson Medical School (Department of Psychiatry) and Rutgers University Behavioral Health Care (UBHC).Â This would be a full-time, tenure-track, research position with full support for 3 years, and the expectation of having 40% or more salary coverage by grants (oneâs own, or othersâ) by the beginning of the 4th year.Â This could include a K award.Â The ideal candidate will have: 1) a doctoral degree in psychology with a specialization in clinical psychology/science; candidates in other areas will be considered; 2) experience in schizophrenia research and treatment; 3) a background in cognitive neuroscience, with expertise in EEG/ERP recording and/or related techniques (e.g., MEG, tDCS); 4) a strong or promising publication record; and 5) a history of acquiring extramural funding, or evidence of competitiveness in this regard.Â Â The person to be hired will work within the Division of Schizophrenia ResearchÂ [http://ubhc.rutgers.edu/dsr/ <http://ubhc.rutgers.edu/dsr/%5d%20%20%20%20%20%20%20%20%20%20%0d>Â directed by Steven Silverstein, Ph.D.Â Â The faculty member will be expected to develop his/her own independentÂ research program, but it should be complementary to existing research, which is primarily in the following areas: 1) visual processing impairments in schizophrenia (using psychophysics, fMRI, and retinal imaging) and their prodromal expression, longitudinal course, relationships with symptoms, and significance for predicting relapse and treatment response; and 2) cognitive and perceptual remediation in schizophrenia.Â There are also ongoing studies involving family treatment and other interventions.Â We are particularly interested in hiring someone who could develop a program of ERP research on vision, integrate ERP indices into studies of clinical prediction and treatment response, and train staff on clinical and cognitive measures.Â There are also opportunities to supervise psychology interns and post-doctoral fellows, and to mentor graduate students in neuroscience.Â Classroom teaching is not required, but opportunities are available.Â Â Rutgers is a large university and offers many collaborative opportunities with neighboring departments and centers including the Center for Cognitive Science, the Rutgers University Brain Imaging Center, and the Departments of Psychology, Psychiatric Rehabilitation, and Genetics, among others.Â UBHC is one of the largest academically-affiliated mental health service delivery systems in the United States, and sees over 10,000 patients a year, most of whom have a serious mental illness such as schizophrenia.Â There are patients at the inpatient, partial hospital, outpatient, and residential levels of care, affording opportunities for longitudinal studies across phases of illness.Â To apply, please submit a cover letter, a research statement, a CV, 2-3 representative publications, and 3 letters of recommendation to Caren Alexander atÂ alexanch(a)ubhc.rutgers.edu<mailto:alexanch@ubhc.rutgers.edu <mailto:alexanch@ubhc.rutgers.edu%3cmailto:alexanch@ubhc.rutgers.edu>>.Â Review of applications will beginÂ September 15th. -- -------------------------------------------------------------------- Emily S. Kappenman, Ph.D. UC Davis Center for Mind and Brain 267 Cousteau Place Davis, CA 95618 eskappenman(a)ucdavis.edu <mailto:eskappenman@ucdavis.edu> --------------------------------------------------------------------

10 years, 10 months

Fwd: Research fellow position in Electrophysiology and Neuroimaging

by Gary Green

Dear All, I am recruiting a research fellow to join our laboratory in Children’s Hospital of Michigan, Wayne State University. We currently perform research projects to determine the long-term language outcome following brain surgery, and to determine how human brain works during speech. The funding has been approved by NIH, with a score of top 1.0 percentile, for five years (see the summary below). We have 192-channel EEG Machines, Direct Cortical Stimulator, Eye Tracking System, 3T MRI, and PET. An applicant interested in working on our projects can email me with your CV. Email address is: eishi{at}pet.wayne.edu [Change {at} to @]. Thank you very much, Eishi SUMMARY: The goals of this project are: (i) to generate an empirical model to predict the long-term language outcome following epilepsy surgery and (ii) to better understand ‘how’ the language system works during speech. About 1% of the general population has epilepsy, while one-fifth of epilepsy is medically intractable. Subsets of patients with intractable focal epilepsy benefit from surgical resection of the seizure focus with functionally-important areas preserved. Yet, in reality, accurate identification of language areas is difficult, especially in children, since electrical stimulation mapping lacks sufficient sensitivity, often takes hours to complete, and has a risk of stimulation-induced seizures. In the first funding period, we demonstrated that naming-related augmentation of gamma activity (50-120 Hz) on electrocorticography (ECoG) recording can delineate the language circuitry, and that surgical damage of sites showing such gamma-augmentation predicted the acute postoperative language outcome better than electrical stimulation mapping. An important next step is to determine how well the long-term language outcome can be predicted, since some but not all children recover language function well after the resection of language networks. To maximize the predictive performance, we will determine the language cortex and subcortical pathway, while combining ECoG gamma mapping with diffusion weighted imaging (DWI) fiber tractography. Furthermore, the prediction model will take into account the chronic effect of functional recovery in addition to the acute effect of damaged language networks on neuropsychological outcome measures. This project is significant since the results will be directly translatable into patient management, and our innovative multimodality technique has the potential to become a mainstream method to localize functionally-important brain structures. We will also determine the anatomical and functional connectivity within the language networks, using ECoG gamma mapping, DWI tractography and cortico-cortical evoked potentials (CCEPs). Theoretical models of human speech propose that phonologic and semantic information is transferred, via the arcuate fasciculus, between the temporal and frontal language areas. Yet, the exact location of each arcuate pathway for phonologic and semantic information has not been elucidated. Furthermore, directional efficiency of signal transferring in each pathway has not been clarified, although a modern theoretical model indicates the presence of bi-directional signal transferring between the frontal and temporal lobes. In this project, we will specifically determine if these sites involved in phonological and semantic functions are differentially connected via distinct arcuate fasciculus fibers. We will also determine ‘in which direction’ electrical signals propagate more efficiently within and across the two lobes involved in language. The model refined or revised by this empirical study will help in prediction of specific language symptoms following focal brain damage, and ultimately may better localize the therapeutic targets for improving different types of language impairments in neurological diseases. ------------------------------------------------------------------------------------------------------------------------------ Eishi Asano, MD, PhD, MS (CRDSA) Associate Professor, Pediatrics & Neurology, Wayne State University Director, Neurodiagnostics, Children's Hospital of Michigan 3901 Beaubien Street, Detroit, Michigan, 48201, USA. Phone: +1-313-745-5547; FAX: +1-313-745-0955; E-mail: eishi{at}pet.wayne.edu [Change {at} to @] ------------------------------------------------------------------------------------------------------------------------------ This message (including any attachments) is confidential and intended solely for the use of the individual or entity to whom it is addressed, and is protected by law. If you are not the intended recipient, please delete the message (including any attachments) and notify the originator that you received the message in error. Any disclosure, copying, or distribution of this message, or the taking of any action based on it, is strictly prohibited. _______________________________________________ Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html To unsubscribe, send an empty email to eeglablist-unsubscribe(a)sccn.ucsd.edu For digest mode, send an email with the subject "set digest mime" to eeglablist-request(a)sccn.ucsd.edu

10 years, 10 months

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