Cytoarchitectonic Characterization and Functional Decoding of Four New Areas in the Human Lateral Orbitofrontal Cortex

Wojtasik, Magdalena; Bludau, Sebastian; Eickhoff, Simon B.; Mohlberg, Hartmut; Gerboga, Fatma; Caspers, Svenja; Amunts, Katrin

doi:10.3389/fnana.2020.00002

Cited by 21 publications

(22 citation statements)

References 78 publications

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“…This finding highlights the lateral orbital gyrus as a key structure wherein adaptive compensation in brain morphology, structure and function occurs in anti‐NMDAR encephalitis. Previous studies have shown that the lateral orbital gyrus is involved in not only cognitive processing 39,40 but also autonomic functions via connections with the hypothalamus 41 . Therefore, increased centrality in the lateral orbital gyrus may be related to autonomic instability in anti‐NMDAR encephalitis 37 .…”

Section: Discussionmentioning

confidence: 99%

Aberrant multimodal brain networks in patients with anti‐NMDA receptor encephalitis

et al. 2021

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Aims To explore large‐scale brain network alterations and examine their clinical and neuropsychological relevance in patients with anti‐N‐methyl‐D‐aspartate receptor (NMDAR) encephalitis. Methods Twenty‐four patients with anti‐NMDAR encephalitis and 26 matched healthy controls (HCs) were enrolled in our study. Based on the multimodal MRI dataset, individual morphological, structural, and functional brain networks were constructed and compared between the two groups at multiple levels. The associations with clinical/neuropsychological variables and the discriminant ability of significant alterations were further studied. Results Multimodal network analysis revealed that anti‐NMDAR encephalitis mainly affected morphological and structural networks, but subtle alterations were observed in functional networks. Intriguingly, decreased network local efficiency was observed for both morphological and structural networks and increased nodal centrality in the lateral orbital gyrus was convergently observed among the three types of networks in the patients. Moreover, the alterations, particularly those from structural networks, accounted largely for cognitive deficits of the patients and could distinguish the diseased individuals from the HCs with excellent performance (area under the curve =0.933). Conclusions The current study provides a comprehensive view of characteristic multimodal network dysfunction in anti‐NMDAR encephalitis, which is crucial to establish new diagnostic biomarkers and promising therapeutic targets for the disease.

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Section: Discussionmentioning

confidence: 99%

Aberrant multimodal brain networks in patients with anti‐NMDA receptor encephalitis

et al. 2021

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“…These regions included some that surround the original PFIT regions, indicating that larger portions of Fro, Tmp, Par, and Occ cortex are involved in optimizing complex cognition. The Fro regions that should be considered for inclusion in ExtPFIT are adjacent to the PFIT but more posterior (somatosensory gyrus), medial (medial SFG), and inferior (orbital), suggesting the contribution of topdown regulatory systems for cognitive performance (Hampshire et al 2010;Swick et al 2008;Rolls and Grabenhorst 2008;Wojtasik et al 2020). The Par candidates for ExtPFIT are the supramarginal and angular gyri, regions long implicated in complex cognition (Geschwind 1970;Tremblay and Dick 2016), as is the TMP, a region implicated in multimodal sensory integration (Olson et al 2007) and social cognition (Pehrs et al 2017), underscoring the role of Tmp lobe connectivity in complex cognition (Blazquez Freches et al 2020).…”

Section: Discussionmentioning

confidence: 99%

Structural and Functional Brain Parameters Related to Cognitive Performance Across Development: Replication and Extension of the Parieto-Frontal Integration Theory in a Single Sample

et al. 2020

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The parieto-frontal integration theory (PFIT) identified a fronto-parietal network of regions where individual differences in brain parameters most strongly relate to cognitive performance. PFIT was supported and extended in adult samples, but not in youths or within single-scanner well-powered multimodal studies. We performed multimodal neuroimaging in 1601 youths age 8–22 on the same 3-Tesla scanner with contemporaneous neurocognitive assessment, measuring volume, gray matter density (GMD), mean diffusivity (MD), cerebral blood flow (CBF), resting-state functional magnetic resonance imaging measures of the amplitude of low frequency fluctuations (ALFFs) and regional homogeneity (ReHo), and activation to a working memory and a social cognition task. Across age and sex groups, better performance was associated with higher volumes, greater GMD, lower MD, lower CBF, higher ALFF and ReHo, and greater activation for the working memory task in PFIT regions. However, additional cortical, striatal, limbic, and cerebellar regions showed comparable effects, hence PFIT needs expansion into an extended PFIT (ExtPFIT) network incorporating nodes that support motivation and affect. Associations of brain parameters became stronger with advancing age group from childhood to adolescence to young adulthood, effects occurring earlier in females. This ExtPFIT network is developmentally fine-tuned, optimizing abundance and integrity of neural tissue while maintaining a low resting energy state.

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“…LBA45 and RBA45 constituted the anterior portion of IFG, i.e., pars triangularis, in the left and the right hemispheres, respectively. More ventrally, LFo6&7 and RFo6&7 spanned parts of the lateral orbitofrontal cortex primarily including BA47, i.e., pars opercularis (Wojtasik et al, 2020). The ROI maps in the MNI Colin 27 template were downloaded from the European Human Brain Project website (https://ebrains.eu), where cytoarchitectonic brain regions are curated and constantly updated (Amunts et al, 2020).…”

Section: Regions Of Interestmentioning

confidence: 99%

Functional connectivity of the inferior frontal gyrus: A meta-analytic connectivity modeling study

Bulut

2022

Preprint

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Background: Neurocognitive models of language processing highlight the role of the left inferior frontal gyrus (IFG) in the functional network underlying language. Furthermore, neuroscience research has shown that IFG is not a uniform region anatomically, cytoarchitectonically or functionally. However, no previous study explored the language-related functional connectivity patterns of different IFG subdivisions using a meta-analytic connectivity approach. Purpose: The present meta-analytic connectivity modeling (MACM) study aimed to identify language-related coactivation patterns of the left and right IFG subdivisions. Method: Six regions of interest (ROIs) were defined using a probabilistic brain atlas corresponding to pars opercularis (BA44), pars triangularis (BA45) and pars orbitalis (Fo6&7) of IFG in both hemispheres. The ROIs were used to search the BrainMap functional database to identify neuroimaging experiments with healthy, right-handed participants reporting language-related activations in each ROI. Activation likelihood estimation analyses were then performed on the foci extracted from the identified studies to compute functional convergence for each ROI, which was also contrasted with the other ROIs within the same hemisphere. In addition, a behavioral analysis was conducted to determine functional specificity for language subdomains within each ROI. Results: A primarily left-lateralized functional network was revealed for the left and right IFG subdivisions. The left IFG ROIs exhibited a more robust coactivation pattern than the right IFG ROIs. In particular, the left posterior-dorsal IFG (BA44) was associated with the most extensive coactivation pattern involving bilateral frontal, bilateral parietal, left temporal, left subcortical (thalamus and putamen), and right cerebellar regions, while the left anterior-ventral IFG (BA45 and Fo6&7) revealed a predominantly left-lateralized involvement of frontotemporal regions. Conclusion: The findings align with the neurocognitive models of language processing that propose a division of labor among the left IFG subdivisions and their respective functional networks. Also, the opercular part of left IFG (BA44) stands out as a major hub in the language network with connections to diverse cortical, subcortical and cerebellar structures.

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Cytoarchitectonic Characterization and Functional Decoding of Four New Areas in the Human Lateral Orbitofrontal Cortex

Cited by 21 publications

References 78 publications

Aberrant multimodal brain networks in patients with anti‐NMDA receptor encephalitis

Aberrant multimodal brain networks in patients with anti‐NMDA receptor encephalitis

Structural and Functional Brain Parameters Related to Cognitive Performance Across Development: Replication and Extension of the Parieto-Frontal Integration Theory in a Single Sample

Functional connectivity of the inferior frontal gyrus: A meta-analytic connectivity modeling study

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