Ute Habel

Prof. Dr. Ute Habel

Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany

Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
6 October 2005 in Brain Structure and Function
Verified
Journal Article
Closed access
PDF file
KAKatrin Amunts
Katrin Amunts
OKO. Kedo
O. Kedo
MKM. Kindler
M. Kindler
PPP. Pieperhoff
P. Pieperhoff
HMH. Mohlberg
H. Mohlberg
KZK. Zilles
K. Zilles

1 February 2014 in NeuroImage
Verified
Journal Article
Closed access
Nils KohnNils Kohn
Nils Kohn
SES.B. Eickhoff
S.B. Eickhoff
MSM. Scheller
M. Scheller
ALA.R. Laird
A.R. Laird
PFP.T. Fox
P.T. Fox
UHUte Habel
Ute Habel

1 January 2010 in Psychoneuroendocrinology
Verified
Journal Article
Closed access
BDBirgit Derntl
Birgit Derntl
AFAndreas Finkelmeyer
Andreas Finkelmeyer
SESimon Eickhoff
Simon Eickhoff
TKThilo Kellermann
Thilo Kellermann
DFDania I. Falkenberg
Dania I. Falkenberg
UHUte Habel
Ute Habel

20 June 2011 in Human Brain Mapping
Verified
Journal Article
Open access
PDF file
TNThomas Nickl‐Jockschat
Thomas Nickl‐Jockschat
UHUte Habel
Ute Habel
TSTanja Maria Sheldrick-Michel
Tanja Maria Sheldrick-Michel
JMJanessa Manning
Janessa Manning
ALAngela R. Laird
Angela R. Laird
SESimon B. Eickhoff
Simon B. Eickhoff
Autism spectrum disorders (ASD) are pervasive developmental disorders with characteristic core symptoms such as impairments in social interaction, deviance in communication, repetitive and stereotyped behavior, and impaired motor skills. Anomalies of brain structure have repeatedly been hypothesized to play a major role in the etiopathogenesis of the disorder. Our objective was to perform unbiased meta‐analysis on brain structure changes as reported in the current ASD literature. We thus conducted a comprehensive search for morphometric studies by Pubmed query and literature review. We used a revised version of the activation likelihood estimation (ALE) approach for coordinate‐based meta‐analysis of neuroimaging results. Probabilistic cytoarchitectonic maps were applied to compare the localization of the obtained significant effects to histological areas. Each of the significant ALE clusters was analyzed separately for age effects on gray and white matter density changes. We found six significant clusters of convergence indicating disturbances in the brain structure of ASD patients, including the lateral occipital lobe, the pericentral region, the medial temporal lobe, the basal ganglia, and proximate to the right parietal operculum. Our study provides the first quantitative summary of brain structure changes reported in literature on autism spectrum disorders. In contrast to the rather small sample sizes of the original studies, our meta‐analysis encompasses data of 277 ASD patients and 303 healthy controls. This unbiased summary provided evidence for consistent structural abnormalities in spite of heterogeneous diagnostic criteria and voxel‐based morphometry (VBM) methodology, but also hinted at a dependency of VBM findings on the age of the patients. Hum Brain Mapp, 2011.

1 July 2001 in American Journal of Psychiatry
Verified
Journal Article
Closed access
FSFrank Schneider
Frank Schneider
UHUte Habel
Ute Habel
MWMichael Wagner
Michael Wagner
PFPetra Franke
Petra Franke
JSJasmin B. Salloum
Jasmin B. Salloum
KZKarl Zilles
Karl Zilles

1 March 2003 in NeuroImage
Verified
Journal Article
Closed access
SPStefan Posse
Stefan Posse
DFDaniel Fitzgerald
Daniel Fitzgerald
KGKunxiu Gao
Kunxiu Gao
UHUte Habel
Ute Habel
DRDavid Rosenberg
David Rosenberg
FSFrank Schneider
Frank Schneider