Dokument: Zytoarchitektonische Kartierung des menschlichen anterioren Gyrus fusiformis und Sulcus occipitotemporalis
| Titel: | Zytoarchitektonische Kartierung des menschlichen anterioren Gyrus fusiformis und Sulcus occipitotemporalis | |||||||
| Weiterer Titel: | Cytoarchitectonic mapping of the human anterior fusiform gyrus and occipitotemporal sulcus | |||||||
| URL für Lesezeichen: | https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=69856 | |||||||
| URN (NBN): | urn:nbn:de:hbz:061-20250617-111430-4 | |||||||
| Kollektion: | Dissertationen | |||||||
| Sprache: | Deutsch | |||||||
| Dokumententyp: | Wissenschaftliche Abschlussarbeiten » Dissertation | |||||||
| Medientyp: | Text | |||||||
| Autor: | Dietermann, Manuel Johannes [Autor] | |||||||
| Dateien: |
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| Beitragende: | Prof. Dr. med. Amunts, Katrin [Gutachter] Prof. Dr.med. Dr.rer.pol. Caspers, Svenja [Gutachter] | |||||||
| Stichwörter: | Zytoarchitektur, Human brain mapping, Gyrus fusiformis, Sulcus occipitotemporalis, ventral pathway, Gesichtserkennung, Julich Brain Atlas | |||||||
| Dewey Dezimal-Klassifikation: | 600 Technik, Medizin, angewandte Wissenschaften » 610 Medizin und Gesundheit | |||||||
| Beschreibungen: | Der ventrale occipitotemporale Kortex des menschlichen Gehirns ist Teil des „Was“-Pfades („what“ pathway), der zentrale Funktionen wie Gesichtserkennung, Körpererkennung und Worterkennung topografisch bündelt. Der anteriore Gyrus fusiformis (aFG) und der angrenzende Sulcus occipitotemporalis (OTS) innerhalb dieser Region sind bisher weder in ihrer strukturellen noch in ihrer funktionellen Parzellierung ausreichend verstanden. Historische Hirnkarten werden diesem Kortexabschnitt mit mehrdeutigen und voneinander abweichenden Darstellungen nicht gerecht. Gleichzeitig sind bisherige Erkenntnisse zum funktionellen Beitrag des aFG und OTS im Vergleich zu Nachbarregionen unzureichend. Gegenstand dieser Arbeit war die Erstellung einer verlässlichen und detaillierten Hirnkarte des aFG und OTS auf Basis einer statistisch reproduzierbaren Analyse digitalisierter, hochaufgelöster, histologisch bearbeiteter Hirnschnitte von zehn post mortem Gehirnen. Die Definition von Grenzen neuer Hirnareale erfolgte anhand des Vergleichs benachbarter Grauwertindex (GLI)-Profile, die die zytoarchitektonischen Eigenschaften neuer Areale entlang der kortikalen Tiefe widerspiegeln. Mit dieser Methode konnten in allen untersuchten Gehirnen zwei Areale identifiziert werden: FG5 und OTS1. FG5 bedeckte dabei oberflächennahe Anteile des aFG, während OTS1 posterolateral angrenzend vor allem innerhalb des OTS lokalisiert war. Eine hierarchische Clusteranalyse der mittleren GLI-Profile der neuen Areale mit denen topografisch nah gelegener Areale zeigte besondere Ähnlichkeit von FG5 und OTS1 zueinander sowie zu den okzipital benachbarten Arealen des mittleren Gyrus fusiformis. Die Auswertung der volumetrischen Daten der neuen Areale zeigte keine Unterschiede zwischen männlichen und weiblichen Gehirnen sowie zwischen den linken und rechten Hemisphären der Stichprobe. Die 3D-Rekonstruktion, Normalisierung für die Referenzgehirne MNI Colin27 und ICBM152casym und Superposition der Arealkarten resultierten in Wahrscheinlichkeitskarten, die die interindividuelle topografische Variabilität der neuen Areale visualisierten. Zur besseren Vergleichbarkeit mit existierenden Hirnkarten der Region wurden nicht-überlappende Maximale Wahrscheinlichkeitskarten erstellt. Darüber hinaus wurde mit Hilfe eines auf Convolutional Neural Networks basierenden Deep Learning Tools eine Schnitt-für-Schnitt Kartierung und hochauflösende Rekonstruktion der Areale im BigBrain 1 Modell generiert. Die Karten von FG5 und OTS1 zeigten eine detailliertere und verlässliche strukturelle Aufteilung des aFG und OTS gegenüber historischen Hirnkarten. Eine erste Gegenüberstellung mit Ergebnissen funktionell orientierter Studien ließ eine Beteiligung der Areale in den höheren visuellen Verarbeitungsprozessen wie Gesichtserkennung vermuten. Die Karten wurden für den Julich Brain Atlas registriert, welcher eine umfassende mikroanatomische Referenz der zytoarchitektonischen Parzellierung des menschlichen Gehirns darstellt und die multimodale, adaptive und flexible Nutzung der Karten von FG5 und OTS1 ermöglicht.The ventral occipitotemporal cortex of the human brain is part of the ‘what’ pathway, which topographically bundles central brain functions such as face recognition, body recognition and word recognition. The anterior fusiform gyrus (aFG) and the adjacent occipitotemporal sulcus (OTS) within this region are poorly understood, both in terms of their structural and functional decomposition. Historical brain maps do not do justice to this section of the cortex with ambiguous and discrepant representations. Additionally, previous findings on the functional contribution of the aFG and OTS are insufficient in comparison to neighboring regions. The aim of this project was to create a reliable and detailed brain map of the aFG and OTS based on a statistically reproducible analysis on digitized high-resolution histological brain sections in ten postmortem brains. The definition of borders between brain areas was based on the comparison of neighboring Grey Level Index (GLI) profiles, which reflect the cytoarchitectonic properties of new areas along the cortical depth. Using this method, two areas were identified in all brains analyzed: FG5 and OTS1. FG5 covered parts of the aFG near the brain surface, while OTS1 was located posterolaterally adjacent, mainly within the OTS. Hierarchical cluster analysis of the mean GLI profiles of the new areas and those of topographically nearby areas showed that both areas were particularly similar to each other, as well as to the occipitally adjacent areas of the middle fusiform gyrus. Analysis of the volumetric data of the new areas showed no differences between male and female brains and between the left and right hemispheres of the sample. 3D-reconstruction, normalization for the reference brains MNI Colin27 and ICBM152casym and superposition of the areal maps resulted in probability maps visualizing the interindividual topographic variability of the new areas. Non-overlapping maximum probability maps were generated for better comparability with existing brain maps of the region. In addition, a deep learning tool based on convolutional neural networks was used to generate a slice-by-slice mapping and high-resolution reconstruction of the areas in the BigBrain 1 model. The maps of FG5 and OTS1 represented a more detailed and reliable structural subdivision of the aFG and OTS compared to historical brain maps. A first comparison with results of functionally oriented studies suggested an involvement of the areas in higher visual processing such as face recognition. The maps were registered for the Julich Brain Atlas, which provides a comprehensive microanatomical reference of the cytoarchitectonic parcellation of the human brain and enables the multimodal, adaptive and flexible use of the maps of FG5 and OTS1. | |||||||
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DOI:10.1007/bf00304699 ZILLES, K., PALOMERO-GALLAGHER, N. & AMUNTS, K. 2015a. Cytoarchitecture and Maps of the Human Cerebral Cortex. In: TOGA, A. W. (ed.) Brain Mapping. Waltham: Academic Press. DOI:10.1016/B978-0-12-397025-1.00207-4 ZILLES, K., PALOMERO-GALLAGHER, N. & AMUNTS, K. 2015b. Myeloarchitecture and Maps of the Cerebral Cortex. In: TOGA, A. W. (ed.) Brain Mapping. Waltham: Academic Press. DOI:10.1016/B978-0-12-397025-1.00209-8 7 | |||||||
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| Fachbereich / Einrichtung: | Medizinische Fakultät » Institute » C. u. O. Vogt-Institut für Hirnforschung | |||||||
| Dokument erstellt am: | 17.06.2025 | |||||||
| Dateien geändert am: | 17.06.2025 | |||||||
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