All Summer Seminars
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Prof. Fumiko Hoeft
Neurocognitive protective factors that promote resilience and compensation in individuals with dyslexia.
In the current talk, Hoeft will discuss psychological and cognitive neuroscience research on investigations of factors that promote resilience and compensation in those with dyslexia. These include linguistic, cognitive and socio-emotional factors. Hoeft will discuss research in her laboratory that has shown how they relate to their learning disabilities' identity predict self-esteem and is mediated by their ability to regulate their emotions. She will also discuss work that shows how these individuals experience biases to or away from negative stimuli that may impede on their attention that may ultimately lead to reduced learning despite being remediated. She will discuss within the framework of Cumulative Risk and Protection Model and close with ideas on how such research can be used to promote success in individuals with dyslexia and other learning disabilities.
Prof. Charles Hulme:
Causal models of developmental reading disorders
In studies in psychology and education it is essential to think clearly about causal mechanisms. I will outline the use of path diagrams as tools for representing, reasoning about, and testing causal models. The examples I will use come from studies of children’s reading and language disorders. In studies of such disorders we can probably never practically or ethically manipulate the ultimate causes (genes and environments) of a disorder. I will argue, however, that identifying causes at the Cognitive Level of explanation is crucial for planning effective treatments/interventions for these disorders. Furthermore, if interventions are successful we may, using mediation analyses, get close to identifying the proximal causes for different disorder
Prof. Bertram Müller-Myhsok
Genetics of dyslexia: recent findings and perspectives
The field of genetic research of dyslexia has, in recent years, made considerable progress, moving from comparatively small candidate gene association studies and linkage analyses to much larger collaborative genome wide association analysis.
Recent findings in this area include first genome-wide significant findings for dyslexia-related phenotypes, such as alphanumeric rapid naming test results, but also yielding very interesting results with other phenotypes of interest. In addition with explicitly polygenic approaches are beginning to bear fruit as well. These results are mainly driven by large collaborative efforts across countries and languages, yielding a clear path into the future.
I will also discuss recent methodological progress in studies of multivariate association techniques, which, especially when coupled with large sample sizes, should finally provide studies yielding deeper insights.
Prof. Arnold Wilkins
The mathematics of comfort and efficiency when reading
Arnold Wilkins1, Katie Smith1 and Olivier Penacchio2
(1) University of Essex
(2) University of St Andrews
Mathematical properties of text that make it (1) slow to read and (2) uncomfortable to look at were examined.
(1) Wilkins et al (2007) showed that striped words (words such as “mum” with a high first peak in the horizontal autocorrelation of the image of the word) were about 10% slower to read than others. The effect was attributed by Jainta et al (2010) to the longer time taken to re-establish minimum vergence error following a saccade. The first peak in the horizontal autocorrelation of a page of text was assessed for all 72 samples of text that varied with respect to font, x-height, line spacing, justification, and letter spacing. The peak was dependent on the font, with little contribution from the other typographic variables except letter spacing. It decreased when the inter-letter spacing was increased, but only for fonts such Times with a relatively high initial peak, and not for others such as Open sans in which the initial peak was low.
(2) Penacchio and Wilkins (2015) obtained ratings of the discomfort experienced when viewing images. They developed from first principles a simple algorithm that measured the extent to which the Fourier amplitude of the images approximated that of images found in nature. The algorithm accounted for more than 25% of the variance in observers’ ratings of discomfort. The algorithm was applied to the 72 samples of text and the best approximation to natural images occurred when the ratio of x-height to line spacing was small. The algorithm predicted the adjustments 14/15 observers made to the text when reading iBooks.
Reinforcing self-esteem within LD students using adapted learning strategies
Low self-esteem is a major concern for parents and teachers of LD students. The feeling of shame caused by a failure to live up to the educational expectations is part of everyday school life and the corresponding frustrations have devastating effects. To enhance school performance, Anny Cooreman has developed a set of coping strategies. She will focus on students from 8 to 14 years old. These coping strategies focus on autonomy and competency in the learning activities. These strategies have shown in clinical practice long-term positive effects on the self-esteem of many students with dyslexia, dyscalculia and ADD. These techniques can be applied in any classroom and on several levels of education.
Effective learning aims at good results according to individual’s capacity. She will discuss amongst others what it takes to make academic progress, to analyze what really makes a difference and to adjust one’s own learning path. The coach (teacher or parent) should discuss the issues along with the LD-student. By doing this repetitively during the learning process, the LD-student acquires strategies to enhance his level of competence.
Finally, Anny will discuss the important role of peer-teaching between LD-students, instructing how they can act as a coach towards each other during the classroom activities. Each one will play both roles: the trainer and the trainee.
Prof. Chales Hulme
Designing, conducting and analysing an RCT in Education or Psychology
In this workshop I will give an overview of issues in the design, implementation, analysis and reporting of RCTs in psychology and education. I will focus on examples from studies of reading and language development. I will not include any “hands on” data analysis, but I will discuss key statistical/methodological issues.
Prof. Bertram Müller-Myhsok
An introduction to statistical genetics methods - recent approaches and methodological developments
Statistical genetics methods have changed considerably within the last decade. The focus has very much shifted to genome-wide association studies and their derivatives such as pathway enrichment analyses, polygenic (risk) score and LD score modelling as well as functional enrichments based on expression and methylation QTL data.
In this workshop I will aim to provide an introduction into these methodologies, aiming to also give an outlook to things to come in this area, many of which are methods blending machine learning and statistical genetics.
Prof. Inga Koerte
Neuroimaging of Dyslexia – Methods and Markers
Neuroimaging technology has made rapid advances that have changed the way medical imaging is used in both research and in clinical settings. This workshop addresses several advances and challenges in neuroimaging from the development of new imaging techniques and sequences that may enhance the use of imaging in both research and clinical practice, to the challenges of imaging in large-scale multisite projects, to the potential clinical applications of imaging in specific learning disorders such as dyslexia. More specifically, Prof. Koerte will provide an overview of "state-of-the-science" in structural and functional imaging techniques in dyslexia. She will review recent efforts to standardize imaging analytic techniques across cohorts with a specific focus on structural and diffusion imaging data. Finally, Prof. Koerte will review the potential clinical application of neuroimaging in dyslexia and outline novel analytic strategies of potential utility in individualized, precision-medicine on the horizon.
About the speakers:
Prof. Charles Hulme
Professor of Psychology and Education | University of Oxford
William Golding Senior Research Fellow | Brasenose College
Department of Education, University of Oxford, 15 Norham Gardens, Oxford, OX2 6PY
Tel: 01865 284096
Charles Hulme is Professor of Psychology and Education at the University of Oxford and is a William Golding Senior Research Fellow at Brasenose College, Oxford. Charles has broad research interests in reading, language and memory processes and their development and is an expert on randomized controlled trials in Education. Publications include a number of assessment materials including the York Assessment of Reading for Comprehension (2009), the Phonological Abilities Test (1997), Sound Linkage (2014) and The Test of Basic Arithmetic and Numeracy Skills (2015) as well as several books dealing with various aspects of reading development. He is a former Editor-in-Chief of the journal ‘Scientific Studies of Reading’ (2007-2009) and is currently a Senior Editor of the Association of Psychological Science’s flagship journal, Psychological Science. In 2009 he published “Developmental disorders of language, learning and cognition” (Wiley-Blackwell; co-authored with Maggie Snowling). He holds an honorary doctorate from the University of Oslo (2014) and is a member of Academia Europea and a Fellow of the Academy of Social Sciences. He received the Feitelson Research Award from the International Reading Association (1998) and the Marion Welchman International Award for Contributions to the study of Dyslexia from the British Dyslexia Association (2016). He was elected a Fellow of the British Academy in 2017.
Prof. Fumiko Hoeft, MD PhD
Professor of Psychiatry & Weill
Institute for Neurosciences, University of California San Francisco (UCSF), CA USA
Dr. Fumiko Hoeft is Professor of Psychiatry & Weill Institute for Neurosciences at University of California San Francisco (UCSF) in California. She is Director of UCSF Hoeft Laboratory for Developmental Cognitive Neuroscience laboratory (brainLENS.org), Executive Director of UC6-Stanford Multi-University Precision Learning Center (PrecL.org), and Deputy Director of UCSF Dyslexia Center (dyslexia.ucsf.edu). She is also a Research Scientist at Haskins Laboratories, Co-Director of Haskins Global L2 Innovation Hub, and Adjunct Faculty of Psychiatry at Keio University School of Medicine in Tokyo, Japan.
Hoeft’s current research program focuses on the neurobiological mechanisms underlying individual differences in brain maturational processes, and typical and atypical skill acquisition such as reading and dyslexia. Her program also focuses on intrinsic and extrinsic, moderating and mediating factors such as biological variability, prenatal environment, multilingual exposure and motivation. Hoeft received research training at Harvard, Caltech and Stanford. Recent honors include the 2014 Norman Geschwind Memorial Lectureship from the International Dyslexia Association (IDA), 2015 Transforming Education through Neuroscience from Learning & the Brain Foundation, and 2017 Multicampus Research Programs and Initiatives Award from UC Office of the President. She has published over 130 articles including peer-reviewed publications in Proceedings of the National Academy of Sciences (PNAS), Current Biology, Journal of Neuroscience, Trends in Cognitive Sciences, and Trends in Neuroscience. Hoeft has delivered over 180 lectures including remarks/keynotes at the White House. Her work has been covered in media such as The New York Times, NPR, CNN, the New Yorker and Scientific American.
Prof. Dr. med. Inga Katharina Koerte
Professor of Neurobiological Research
Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy
Lecturer in Psychiatry
Harvard Medical School, Brigham and Women’s Hospital, Department of Psychiatry
1249 Boylston Street,
Boston, MA 02215, USA
Phone: +1 617 949 9336
Prof. Koerte is holding a dual affiliation as Professor of Biological Research in Child and Adolescent Psychiatry at Ludwig-Maximilians-Universität (LMU), Munich, Germany and as Lecturer in Psychiatry at Harvard Medical School (HMS), Boston, USA. She is the director of cBRAIN (Child Brain Research And Imaging in Neuroscience) at LMU (http://pediatric-neuroimaging.de/). She is also a research associate at the Department of Psychiatry at Brigham and Women’s Hospital as well as at Massachusetts General Hospital, Boston, USA.
The overarching goal of Prof. Koerte’s research is to investigate the brain’s structure and function using and array of highly sensitive and complementary imaging techniques. Together with her team she is striving to develop diagnostic markers that can be used for the purpose of diagnosis, prognosis, and therapy monitoring in psychiatric and neurological disorders. Her research focuses on the most vulnerable patient cohorts – children, adolescents, and women. Her team’s efforts towards a better understanding of the consequences of neurotrauma have not only resulted in high impact publications (e.g., JAMA) and attention from the public media, but, most importantly, have paved the way for a directive by U.S. Soccer to stop heading the ball for all players age 10 and under. Besides her own research projects, she is the coordinator of a Europe-wide project on repetitive head impacts in youth athletes and one of two leaders of an international, multi-center initiative on large-scale analyses of neuroimaging data in sports-related brain injury (ENIGMA). Prof. Koerte’s research is funded by the National Institutes of Health, the European ERA-NET Neuron, and BMBF.
Prof. Bertram Müller-Myhsok
Prof. Bertram Müller-Myhsok is an independent group leader for statistical genetics at the Max Planck Institute of Psychiatry, holds an adjunct professorship for human genetics at the Technical University of Munich and also a part time Chair of Statistical Genetics at the University of Liverpool, UK.
A fully trained human geneticist, he has been working in the field of quantitative analysis for 30 years and has strong expertise in statistical genetics, machine learning, and in development and distribution of efficient software for -omics analysis. Among others, he and his group developed the software packages GLIDE, EPIBLASTER, EPIGPUHSIC, and SimPhe to support epistasis analyses.
Bertram Müller-Myhsok was co-PI of the EU funded ITN Machine Learning for Personalized Medicine and has co-organized the 2016 and 2017 workshops on Deep Learning for Precision Medicine at ECML-PKDDC and the Big Data Workshops 2016/2017/2018 at the European Society of Human Genetics meeting. BMM authored 303 publications, 38 as primary author.
Founder Eureka Leuven (Belgium), centre of education, support & research for gifted pupils with dyslexia , dyscalculia and ADD. Master Orhtopedagogiek Univ. Leuven, Master of Architecture of Peacebuilding Univ. Leuven