Anatomy and white matter connections of the inferior frontal gyrus

Briggs, Robert G.; Chakraborty, Arijit; Anderson, Christopher; Abraham, Carol J.; Palejwala, Ali H.; Conner, Andrew K.; Pelargos, Panayiotis; O’Donoghue, Daniel L.; Glenn, Chad A.; Sughrue, Michael E.

doi:10.1002/ca.23349

Cited by 70 publications

(34 citation statements)

References 42 publications

(66 reference statements)

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“…The right IFG is mainly implicated in sensory input processing related to expectation and attention. The decline of its function indicates the impairment of attention and the impairment of language processing (Sherman et al, 2016;Briggs et al, 2019). A growing body of evidence suggests that SMA is not only a motor structure but also involves in a wide range of cognitive fields (Bonini et al, 2014;Leek et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

Disrupted Functional Network Connectivity Predicts Cognitive Impairment in Presbycusis Patients

Xing

Zhang²,

Cui

et al. 2020

Front. Aging Neurosci.

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Purpose: Individuals with presbycusis often show deficits in cognitive function, however, the exact neurophysiological mechanisms are not well understood. This study explored the alterations in intra-and inter-network functional connectivity (FC) of multiple networks in presbycusis patients, and further correlated FC with cognitive assessment scores to assess their ability to predict cognitive impairment. Methods: Resting-state functional magnetic resonance imaging (rs-fMRI) was performed in 40 presbycusis patients and 40 matched controls, and 12 resting-state networks (RSNs) were identified by independent component analysis (ICA) approach. A twosample t-test was carried out to detect the intra-network FC differences, and functional network connectivity (FNC) was calculated to compare the inter-network FC differences. Pearson or Spearman correlation analysis was subsequently used to explore the correlation between altered FC and cognitive assessment scores. Results: Our study demonstrated that patients with presbycusis showed significantly decreased FC in the subcortical limbic network (scLN), default mode network (DMN), executive control network (ECN), and attention network (AN) compared with the control group. Moreover, the connectivity for scLN-AUN (auditory network) and VN (visual network)-DMN were found significantly increased while AN-DMN was found significantly decreased in presbycusis patients. Ultimately, this study revealed the intra-and internetwork alterations associated with some cognitive assessment scores. Conclusion: This study observed intra-and inter-network FC alterations in presbycusis patients, and investigated that presbycusis can lead to abnormal connectivity of RSNs and plasticity compensation mechanism, which may be the basis of cognitive impairment, suggesting that FNC can be used to predict potential cognitive impairment in their early stage.

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Section: Discussionmentioning

confidence: 99%

Disrupted Functional Network Connectivity Predicts Cognitive Impairment in Presbycusis Patients

Xing

Zhang²,

Cui

et al. 2020

Front. Aging Neurosci.

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“…A white matter tract identification technique consisting of gross brain dissection and generalized q-sampling tractography has been implemented previously to suggest links between form and function for other brain regions 12 , 13 . Here we investigate the structural organization and network connectivity of the fusiform gyrus.…”

Section: Introductionmentioning

confidence: 99%

“…We have utilized similar procedures for GQI tractography in prior studies 12,13 . We performed brain registration to Montreal Neurologic Institute (MNI) space, wherein imaging is warped to fit a standardized brain model for comparison between subjects 16,17 .…”

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confidence: 99%

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Anatomy and white matter connections of the fusiform gyrus

Palejwala

O’Connor

Milton

et al. 2020

Sci Rep

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the fusiform gyrus is understood to be involved in the processing of high-order visual information, particularly related to faces, bodies, and stimuli characterized by high spatial frequencies. A detailed understanding of the exact location and nature of associated white-tracts could significantly improve post-operative morbidity related to declining capacity. through generalized q-sampling imaging (GQi) validated by gross dissection as a direct anatomical method of identifying white matter tracts, we have characterized these connections based on relationships to other well-known structures. We created the white matter tracts using GQI and confirmed the tracts using gross dissection. These dissections demonstrated connections to the occipital lobe from the fusiform gyrus along with longer association fibers that course through this gyrus. The fusiform gyrus is an important region implicated in such tasks as the visual processing of human faces and bodies, as well as the perception of stimuli with high spatial frequencies. post-surgical outcomes related to this region may be better understood in the context of the fiber-bundle anatomy highlighted by this study. The fusiform gyrus, also known as the occipitotemporal gyrus, is a structure spanning the basal surface of the temporal and occipital lobes 1. It is the largest component of the human ventral temporal cortex, a functionallydefined region critical for visual categorization 1,2. Although the precise function of the fusiform gyrus has not yet been entirely revealed, it has been implicated in high-level tasks regarding visual processing, particularly the processing of information related to faces 3-5 , bodies 6,7 , and stimuli characterized by high spatial frequencies 8. The connection between the anatomical structure of the fusiform gyrus and this region's function remains contested 2,7. Clarification of the fiber-bundle anatomy and functional relationships inherent to the fusiform gyrus may have relevance to clinical applications such as operative planning for glioma resection and awake craniotomies. In addition, human neuroimaging studies have found that certain regions of the fusiform gyrus and its underlying white matter connections are related to a variety of conditions, such as developmental prosopagnosia 5,9,10 , pure alexia 8,11 , and anorexia nervosa. Nevertheless, direct correlations between surgical anatomy and functional connectivity of the fusiform gyrus have not been previously described in neurosurgical literature. A white matter tract identification technique consisting of gross brain dissection and generalized q-sampling tractography has been implemented previously to suggest links between form and function for other brain regions 12,13. Here we investigate the structural organization and network connectivity of the fusiform gyrus. Through GQI-based fiber tracking validated by gross dissection as a direct anatomical method of determining white matter connections 14 , we have characterized these tracts based on key connections and anatomical re...

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“…U-fibers of the frontal and parietal lobes have been shown to play an important role in sensorimotor integration (Catani et al, 2012(Catani et al, , 2017, and have been hypothesized to coordinate movement planning and execution by linking motor and premotor regions (Catani et al, 2012). Moreover, the right PO has been specifically linked with fine motor control of manual motion (Briggs et al, 2019;Liakakis et al, 2011).…”

Section: Fast Learning -Right Pars Opercularis (Po)mentioning

confidence: 99%

White matter microstructural changes in short-term learning of a continuous visuomotor sequence

Tremblay

Jäger

Huck

et al. 2020

Preprint

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Efficient neural transmission is crucial for optimal brain function, yet the plastic potential of white matter (WM) has long been overlooked. Growing evidence now shows that modifications to axons and myelin occur not only as a result of long-term learning, but also after short training periods. Motor sequence learning (MSL), a common paradigm used to study neuroplasticity, occurs in overlapping learning stages and different neural circuits are involved in each stage. However, most studies investigating short-term WM plasticity have used a pre-post design, in which the temporal dynamics of changes across learning stages cannot be assessed. In this study, we used multiple magnetic resonance imaging (MRI) scans at 7 Tesla to investigate changes in WM in a group learning a complex visuomotor sequence (LRN) and in a control group (SMP) performing a simple sequence, for 5 consecutive days. Consistent with behavioral results, where most improvements occurred between the two first days, structural changes in WM were observed only in the early phase of learning (d1-d2), and in overall learning (d1-d5). In LRNs, WM microstructure was altered in the tracts underlying the primary motor and sensorimotor cortices. Moreover, our structural findings in WM were related to changes in functional connectivity, assessed with resting-state functional MRI data in the same cohort, through analyses in regions of interest (ROIs). Significant changes in WM microstructure were found in a ROI underlying the right supplementary motor area. Together, our findings provide evidence for highly dynamic WM plasticity in the sensorimotor network during short-term MSL.

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Anatomy and white matter connections of the inferior frontal gyrus

Cited by 70 publications

References 42 publications

Disrupted Functional Network Connectivity Predicts Cognitive Impairment in Presbycusis Patients

Disrupted Functional Network Connectivity Predicts Cognitive Impairment in Presbycusis Patients

Anatomy and white matter connections of the fusiform gyrus

White matter microstructural changes in short-term learning of a continuous visuomotor sequence

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