Project

Veränderungen in layer-spezifischer kortikaler Konnektivität und subkortikaler Neuromodulation während der Gedächtniskonsolidierung

Unser Projekt untersucht wie sich das funktionelle Zusammenspiel von an der Gedächtnisbildung beteiligten Hirnstrukturen während der Konsolidierung verändert und zu welchem Zeitpunkt Hirnplastizität im Zusammenhang mit Gedächtnisengrammen beobachtbar ist. Hierzu verwenden wir einen neu- und einzigartigen 7T Connectome MR Scanner, um eine Abbildung funktioneller und struktureller Veränderungen mit bisher unerreichter Auflösung beim Menschen zu erreichen. Dies wird uns erlauben den Übergang von hippokampalzentrierter zu kortiko-kortikaler funktioneller Konnektivität während der Gedächtniskonsolidierung mit schichtspezifischer Auflösung im Kortex abzubilden. Durch die layer-spezifische Auflösung unserer Bildgebungsverfahren werden wir einen Brückenschlag zwischen Tier- und Menschenforschung in der Gedächtniskonsolidierung ermöglichen.

Image Single-subject mean PET-Bilder, die auf einem T1-Bild überlargerte sind. Quelle, (Alex) Yeo Jin Yi

Archiv – B06 (SFB1315/1)

B06

Project

Veränderungen in layer-spezifischer kortikaler Konnektivität und subkortikaler Neuromodulation während der Gedächtniskonsolidierung

Team

Prof Dr Emrah Düzel

Dr Dorothea Hämmerer

Prof Dr Oliver Speck

Alex (Yeo Jin) Yi

Aditya Nemali

Dr Matthew Betts

Sewda Yavari-Nodouzaghi

Mareike Ludwig

Publications

The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)

Learning how network structure shapes decision-making for bio-inspired computing

Brain simulation augments machine-learning-based classification of dementia

It is the Locus Coeruleus! Or… is it? : A proposition for analyses and reporting standards for structural and functional magnetic resonance imaging of the noradrenergic Locus Coeruleus

Research data management in clinical neuroscience: the national research data infrastructure initiative

NFDI-Neuro: Building a community for neuroscience research data management in Germany

Brain simulation as a cloud service: The Virtual Brain on EBRAINS

Maturation- and aging-related differences in electrophysiological correlates of error detection and error awareness

Unimanual sensorimotor learning—A simultaneous EEG-fMRI aging study

Are unimanual movements bilateral?

The importance of standards for sharing of computational models and data

Bridging scales in Alzheimer’s disease: Biological framework for brain simulation with The Virtual Brain

Movement disorders after hypoxic brain injury following cardiac arrest in adults

Dynamic functional connectivity between order and randomness and its evolution across the human adult lifespan

Brain network simulations indicate effects of neuregulin-1 genotype on excitation-inhibition balance in cortical dynamics

The importance of cerebellar connectivity on simulated brain dynamics

Identifying optimal working points of individual Virtual Brains: A large-scale brain network modelling study

Noradrenergic-dependent functions are associated with age-related locus coeruleus signal intensity differences

Linking molecular pathways and large-scale modeling to assess candidate disease mechanisms and pharmacodynamics in Alzheimer’s disease

A macaque connectome for large-scale network simulations in The Virtual Brain

Modeling brain dynamics after tumor resection using The Virtual Brain

European Ultrahigh-field Imaging Network for Neurodegenerative Diseases (EUFIND)

Participating Institutions

Project

Veränderungen in layer-spezifischer kortikaler Konnektivität und sub­kortikaler Neuromodulation während der Gedächtnis­konsolidierung

Team

Prof Dr Emrah Düzel

Dr Dorothea Hämmerer

Prof Dr Oliver Speck

Alex (Yeo Jin) Yi

Aditya Nemali

Dr Matthew Betts

Sewda Yavari-Nodouzaghi

Mareike Ludwig

Publications

The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)

Learning how network structure shapes decision-making for bio-inspired computing

Brain simulation augments machine-learning-based classification of dementia

It is the Locus Coeruleus! Or… is it? : A proposition for analyses and reporting standards for structural and functional magnetic resonance imaging of the noradrenergic Locus Coeruleus

Research data management in clinical neuroscience: the national research data infrastructure initiative

NFDI-Neuro: Building a community for neuroscience research data management in Germany

Brain simulation as a cloud service: The Virtual Brain on EBRAINS

Maturation- and aging-related differences in electrophysiological correlates of error detection and error awareness

Unimanual sensorimotor learning—A simultaneous EEG-fMRI aging study

Are unimanual movements bilateral?

The importance of standards for sharing of computational models and data

Bridging scales in Alzheimer’s disease: Biological framework for brain simulation with The Virtual Brain

Movement disorders after hypoxic brain injury following cardiac arrest in adults

Dynamic functional connectivity between order and randomness and its evolution across the human adult lifespan

Brain network simulations indicate effects of neuregulin-1 genotype on excitation-inhibition balance in cortical dynamics

The importance of cerebellar connectivity on simulated brain dynamics

Identifying optimal working points of individual Virtual Brains: A large-scale brain network modelling study

Noradrenergic-dependent functions are associated with age-related locus coeruleus signal intensity differences

Linking molecular pathways and large-scale modeling to assess candidate disease mechanisms and pharmacodynamics in Alzheimer’s disease

A macaque connectome for large-scale network simulations in The Virtual Brain

Modeling brain dynamics after tumor resection using The Virtual Brain

European Ultrahigh-field Imaging Network for Neurodegenerative Diseases (EUFIND)

Participating Institutions

Veränderungen in layer-spezifischer kortikaler Konnektivität und subkortikaler Neuromodulation während der Gedächtniskonsolidierung