Historically, the human frontal pole (FP) has been considered as a single architectonic area. Brodmann's area 10 is located in the frontal lobe with known contributions in the execution of various higher order cognitive processes. However, recent cytoarchitectural studies of the FP in humans have shown that this portion of cortex contains two distinct cytoarchitectonic regions. Since architectonic differences are accompanied by differential connectivity and functions, the frontal pole qualifies as a candidate region for exploratory parcellation into functionally discrete sub-regions. We investigated whether this functional heterogeneity is reflected in distinct segregations within cytoarchitectonically defined FP-areas using meta-analytic co-activation based parcellation (CBP). The CBP method examined the co-activation patterns of all voxels within the FP as reported in functional neuroimaging studies archived in the BrainMap database. Voxels within the FP were subsequently clustered into sub-regions based on the similarity of their respective meta-analytically derived co-activation maps. Performing this CBP analysis on the FP via k-means clustering produced a distinct 3-cluster parcellation for each hemisphere corresponding to previously identified cytoarchitectural differences. Post-hoc functional characterization of clusters via BrainMap metadata revealed that lateral regions of the FP mapped to memory and emotion domains, while the dorso- and ventromedial clusters were associated broadly with emotion and social cognition processes. Furthermore, the dorsomedial regions contain an emphasis on theory of mind and affective related paradigms whereas ventromedial regions couple with reward tasks. Results from this study support previous segregations of the FP and provide meta-analytic contributions to the ongoing discussion of elucidating functional architecture within human FP.
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http://dx.doi.org/10.1016/j.neuroimage.2015.07.072 | DOI Listing |
Sci Rep
January 2025
Department of Neurology, Dalian Municipal Central Hospital of Dalian University of Technology, Dalian, 116033, Liaoning, China.
Epilepsia
January 2025
Brain and Mind Electrophysiology Laboratory, Multimedia Systems Department, BioTechMed Center, Gdansk University of Technology, Gdansk, Poland.
Objective: Cognitive deficits are one of the most debilitating comorbidities in epilepsy and other neurodegenerative, neuropsychiatric, and neurodevelopmental brain disorders. Current diagnostic and therapeutic options are limited and lack objective measures of the underlying neural activities. In this study, electrophysiological biomarkers that reflect cognitive functions in clinically validated batteries were determined to aid diagnosis and treatment in specific brain regions.
View Article and Find Full Text PDFSchizophr Bull
January 2025
Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Team "Pathophysiology of psychiatric disorders", Institut de psychiatrie, CNRS GDR 3557, 75014 Paris, France.
Brain Cogn
January 2025
Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montreal, QC, Canada; Département de Psychologie, Université de Montréal, Montreal, QC, Canada. Electronic address:
Background: About half of MCI patients experience semantic deficits, which may predict progression to Alzheimer's disease (AD). The neural basis of these deficits in MCI is not well understood. This study aimed to examine the relationship between semantic memory performance and cortical thickness in MCI patients.
View Article and Find Full Text PDFAppl Neuropsychol Adult
December 2024
Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Introduction: This study investigated the cortical and subcortical gray matter volume (GMV) and cognitive impairment (CI) in patients with Parkinson's disease (PD).
Methods: In this study, T1-weighted magnetic resonance imaging of the cortex and subcortex was conducted on 92 individuals diagnosed with PD and 92 healthy controls (HCs). PD patients were divided into three groups: PD with normal cognition (PD-NC, = 21), PD with mild CI (PD-MCI, = 43), and PD with severe CI (PD-SCI, = 28).
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