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X-WR-CALNAME:International Research Training Group 2150
X-ORIGINAL-URL:https://www.irtg2150.rwth-aachen.de
X-WR-CALDESC:Events for International Research Training Group 2150
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BEGIN:VTIMEZONE
TZID:UTC
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TZOFFSETFROM:+0000
TZOFFSETTO:+0000
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DTSTART:20170101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20170214T160000
DTEND;TZID=UTC:20170214T173000
DTSTAMP:20260505T205230
CREATED:20160907T141416Z
LAST-MODIFIED:20170127T162134Z
UID:421-1487088000-1487093400@www.irtg2150.rwth-aachen.de
SUMMARY:Presentation from Prof. Barbara Krahé (University of Potsdam)
DESCRIPTION:Title: Sexual Aggression among Young Adults: Prevalence and Risk Factors from a Cross-Cultural Perspective
URL:https://www.irtg2150.rwth-aachen.de/event/presentation-from-prof-barbara-krahe-university-of-potsdam/
LOCATION:IRTG library room\, Pauwelsstrasse 30\, Aaachen\, Non-US or Canadian Address\, 52074\, Germany
CATEGORIES:External talks
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20170214T160000
DTEND;TZID=UTC:20170214T173000
DTSTAMP:20260505T205230
CREATED:20160907T141416Z
LAST-MODIFIED:20160907T141416Z
UID:966-1487088000-1487093400@www.irtg2150.rwth-aachen.de
SUMMARY:Presentation from Prof. Barbara Krahé (University of Potsdam)
DESCRIPTION:Title: Sexual Aggression among Young Adults: Prevalence and Risk Factors from a Cross-Cultural Perspective
URL:https://www.irtg2150.rwth-aachen.de/event/presentation-from-prof-barbara-krahe-university-of-potsdam-2/
LOCATION:IRTG library room\, Pauwelsstrasse 30\, Aaachen\, Non-US or Canadian Address\, 52074\, Germany
CATEGORIES:External talks
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20170221T090000
DTEND;TZID=UTC:20170221T160000
DTSTAMP:20260505T205230
CREATED:20170106T110314Z
LAST-MODIFIED:20170106T110314Z
UID:526-1487667600-1487692800@www.irtg2150.rwth-aachen.de
SUMMARY:WORKSHOP 6: The impact of classical statistics versus multi-variate pattern analysis (MVPA) on neuroscientific interpretation
DESCRIPTION:Prof. Dr. Danilo Bzdok\n \nNeuroimaging datasets are constantly increasing in resolution\, sample size\, multi-modality\, and meta-information complexity. This opens the brain imaging field to a more data-driven machine-learning regime (e.g.\, classification algorithms\, pattern recognition\, cross-validation procedures) \, while analysis methods from the domain of classical statistics remain dominant (e.g.\, ANOVA\, Pearson correlation\, Student’s t-test). Special interest lies in the interpretational opportunities that open when asking the same neurobiological question using analysis methods from different statistical cultures. \n\nWe will discuss 3 everyday scenarios of statistical analysis in functional neuroimaging:\n\n1) In TMS intervention during semantic experiments in humans\, we will discuss how standard GLM analyses emphasize notions of “neural activity extent” whereas newer support-vector-machine searchlight MVPA analyses emphasize notions of “activity pattern similarity”. This frequently yields opposing brain effects that tell complementary parts of a same neuroscientific story.\n2) Why is there no significance test for brain atlasing using parcellation methods? We will discuss the interpretational differences between dividing the brain into separate regions (clustering methods like k-means and hierarchical clustering) and into overlapping\, distributed patterns (decomposition methods like principal component analysis and independent component analysis)\, and how it is possible to perform forms of “statistical inference” on the obtain brain parcellations.\n3) How are the data analysis practices likely to change in the face of currently growing data repositories (e.g.\, UKBiobank and Precision Medicine Inititative)\, and how will this affect the type of neuroscientific judgments that we can make based on the data (explained variance versus prediction\, extrapolation to the general population versus out-of-sample generalization\, etc.).\n\nThese general principles considered in 3 case studies are important in many different types of data analysis pipelines\, including those in behavioral (non-imaging) psychology\, genetics and molecular neurosciences in humans and animals. The successful statistical extraction and neuroscientific interpretation of structured knowledge from current and future neuroimaging datasets will be a critical prerequisite for our understanding of human brain organization in healthy populations and psychiatric disease.
URL:https://www.irtg2150.rwth-aachen.de/event/workshop-6-the-impact-of-classical-statistics-versus-multi-variate-pattern-analysis-mvpa-on-neuroscientific-interpretation/
LOCATION:IRTG Room (Flur 10)
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20170221T090000
DTEND;TZID=UTC:20170221T160000
DTSTAMP:20260505T205230
CREATED:20170106T110314Z
LAST-MODIFIED:20170106T110314Z
UID:980-1487667600-1487692800@www.irtg2150.rwth-aachen.de
SUMMARY:WORKSHOP 6: The impact of classical statistics versus multi-variate pattern analysis (MVPA) on neuroscientific interpretation
DESCRIPTION:Prof. Dr. Danilo Bzdok\n \nNeuroimaging datasets are constantly increasing in resolution\, sample size\, multi-modality\, and meta-information complexity. This opens the brain imaging field to a more data-driven machine-learning regime (e.g.\, classification algorithms\, pattern recognition\, cross-validation procedures) \, while analysis methods from the domain of classical statistics remain dominant (e.g.\, ANOVA\, Pearson correlation\, Student’s t-test). Special interest lies in the interpretational opportunities that open when asking the same neurobiological question using analysis methods from different statistical cultures. \n\nWe will discuss 3 everyday scenarios of statistical analysis in functional neuroimaging:\n\n1) In TMS intervention during semantic experiments in humans\, we will discuss how standard GLM analyses emphasize notions of “neural activity extent” whereas newer support-vector-machine searchlight MVPA analyses emphasize notions of “activity pattern similarity”. This frequently yields opposing brain effects that tell complementary parts of a same neuroscientific story.\n2) Why is there no significance test for brain atlasing using parcellation methods? We will discuss the interpretational differences between dividing the brain into separate regions (clustering methods like k-means and hierarchical clustering) and into overlapping\, distributed patterns (decomposition methods like principal component analysis and independent component analysis)\, and how it is possible to perform forms of “statistical inference” on the obtain brain parcellations.\n3) How are the data analysis practices likely to change in the face of currently growing data repositories (e.g.\, UKBiobank and Precision Medicine Inititative)\, and how will this affect the type of neuroscientific judgments that we can make based on the data (explained variance versus prediction\, extrapolation to the general population versus out-of-sample generalization\, etc.).\n\nThese general principles considered in 3 case studies are important in many different types of data analysis pipelines\, including those in behavioral (non-imaging) psychology\, genetics and molecular neurosciences in humans and animals. The successful statistical extraction and neuroscientific interpretation of structured knowledge from current and future neuroimaging datasets will be a critical prerequisite for our understanding of human brain organization in healthy populations and psychiatric disease.
URL:https://www.irtg2150.rwth-aachen.de/event/workshop-6-the-impact-of-classical-statistics-versus-multi-variate-pattern-analysis-mvpa-on-neuroscientific-interpretation-2/
LOCATION:IRTG Room (Flur 10)
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20170228T160000
DTEND;TZID=UTC:20170228T173000
DTSTAMP:20260505T205230
CREATED:20160907T141138Z
LAST-MODIFIED:20160907T141138Z
UID:416-1488297600-1488303000@www.irtg2150.rwth-aachen.de
SUMMARY:IRTG meeting (internal)
DESCRIPTION:
URL:https://www.irtg2150.rwth-aachen.de/event/irtg-meeting-internal-7/
LOCATION:IRTG library room\, Pauwelsstrasse 30\, Aaachen\, Non-US or Canadian Address\, 52074\, Germany
CATEGORIES:Internal meeting
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20170228T160000
DTEND;TZID=UTC:20170228T173000
DTSTAMP:20260505T205230
CREATED:20160907T141138Z
LAST-MODIFIED:20160907T141138Z
UID:964-1488297600-1488303000@www.irtg2150.rwth-aachen.de
SUMMARY:IRTG meeting (internal)
DESCRIPTION:
URL:https://www.irtg2150.rwth-aachen.de/event/irtg-meeting-internal-7-2/
LOCATION:IRTG library room\, Pauwelsstrasse 30\, Aaachen\, Non-US or Canadian Address\, 52074\, Germany
CATEGORIES:Internal meeting
END:VEVENT
END:VCALENDAR