4 results on '"Palomero‐Gallagher, Nicola"'
Search Results
2. Medial Prefrontal Aberrations in Major Depressive Disorder Revealed by Cytoarchitectonically Informed Voxel-Based Morphometry
- Author
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Bludau, Sebastian, Bzdok, Danilo, Gruber, Oliver, Kohn, Nils, Riedl, Valentin, Sorg, Christian, Palomero-Gallagher, Nicola, Veronika, Mueller, Hoffstaedter, Felix, Amunts, Katrin, Simon, B, Eickhoff, M., Institute of Neuroscience and Medicine [Jülich] (INM-1), Modelling brain structure, function and variability based on high-field MRI data (PARIETAL), Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Service NEUROSPIN (NEUROSPIN), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Department of Psychiatry, Psychotherapy and Psychosomatics [Aachen], Rheinisch-Westfälische Technische Hochschule Aachen (RWTH), Laboratoire d'Informatique de Grenoble (LIG), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), European Project: 604102,EC:FP7:ICT,FP7-ICT-2013-FET-F,HBP(2013), Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), and Rheinisch-Westfälische Technische Hochschule Aachen University (RWTH)
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0301 basic medicine ,Adult ,Male ,Multivariate statistics ,[SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology ,[SDV]Life Sciences [q-bio] ,Stress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13] ,computer.software_genre ,nilearn ,behavioral disciplines and activities ,Article ,[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] ,03 medical and health sciences ,0302 clinical medicine ,Psychiatric history ,ddc:150 ,Voxel ,medicine ,Humans ,Psychiatric Status Rating Scales ,Depressive Disorder, Major ,medicine.diagnostic_test ,Magnetic resonance imaging ,Voxel-based morphometry ,Anatomy ,Organ Size ,Middle Aged ,medicine.disease ,Magnetic Resonance Imaging ,Frontal Lobe ,Psychiatry and Mental health ,030104 developmental biology ,Frontal lobe ,Case-Control Studies ,Major depressive disorder ,Female ,parietal ,Psychology ,computer ,Neuroscience ,030217 neurology & neurosurgery ,Frontal Pole - Abstract
Item does not contain fulltext OBJECTIVE: The heterogeneous human frontal pole has been identified as a node in the dysfunctional network of major depressive disorder. The contribution of the medial (socio-affective) versus lateral (cognitive) frontal pole to major depression pathogenesis is currently unclear. The authors performed morphometric comparison of the microstructurally informed subdivisions of human frontal pole between depressed patients and comparison subjects using both uni- and multivariate statistics. METHOD: Multisite voxel- and region-based morphometric MRI analysis was conducted in 73 depressed patients and 73 matched comparison subjects without psychiatric history. Frontal pole volume was first compared between depressed patients and comparison subjects by subdivision-wise classical morphometric analysis. In a second approach, frontal pole volume was compared by subdivision-naive multivariate searchlight analysis based on support vector machines. RESULTS: Subdivision-wise morphometric analysis found a significantly smaller medial frontal pole in depressed patients, with a negative correlation of disease severity and duration. Histologically uninformed multivariate voxel-wise statistics provided converging evidence for structural aberrations specific to the microstructurally defined medial area of the frontal pole in depressed patients. CONCLUSIONS: Across disparate methods, subregion specificity in the left medial frontal pole volume in depressed patients was demonstrated. Indeed, the frontal pole was shown to structurally and functionally connect to other key regions in major depression pathology, such as the anterior cingulate cortex and the amygdala via the uncinate fasciculus. Present and previous findings consolidate the left medial portion of the frontal pole as particularly altered in major depression.
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- 2016
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3. Mapping of M2 and 5-HT1A Receptors in the Human Amygdala
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Amunts Katrin, Kedo Olga, Zilles Karl, and Palomero-Gallagher Nicola
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medicine.anatomical_structure ,genetic structures ,nervous system ,Automotive Engineering ,medicine ,ddc:610 ,Biology ,Receptor ,Neuroscience ,Amygdala - Abstract
Subdivisions of the amygdala were identified in thecolor-coded receptor autoradiographs immediately adjacentto Nissl-stained sections in the right hemisphere atthe level of the central nucleus. Color scales visualize theconcentrations for each receptor (cholinergic muscarinicM2 or serotoninergic 5-HT1A receptors).
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- 2018
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4. Human Pregenual Anterior Cingulate Cortex: Structural, Functional, and Connectional Heterogeneity
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Palomero-Gallagher, Nicola, Hoffstaedter, Felix, Mohlberg, Hartmut, Eickhoff, Simon B., Amunts, Katrin, and Zilles, Karl
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Aged, 80 and over ,Male ,Brain Mapping ,cytoarchitecture ,probability maps ,Original Articles ,functional decoding ,Middle Aged ,functional meta-analysis ,Gyrus Cinguli ,anterior cingulate cortex ,Imaging, Three-Dimensional ,Neural Pathways ,Image Processing, Computer-Assisted ,Humans ,Female ,ddc:610 ,human brain ,Aged - Abstract
Cerebral cortex 29(6), 2552-2574 (2019). doi:10.1093/cercor/bhy124, Published by Oxford Univ. Press, Oxford
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- 2018
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