Corpus Callosum and Its Connections: A Fiber Dissection Study

Shah, Abhidha; Jhawar, Sukhdeep Singh; Goel, Aimee; Goel, Atul

doi:10.1016/j.wneu.2021.05.047

Cited by 44 publications

(10 citation statements)

References 14 publications

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“…The 3) corpus callosum (cc), like the cingulum, is best identified by its fibre direction, predominantly appearing as vivid red, identifying the mediolateral direction of fibres, with brushes of blue laterally. Modern decisional literature also is used to assist in its delineation (Shah et al, 2021). Leading on from the corpus callosum, the 4) superior longitudinal fasciculus, dorsal (slf I) and 5) superior longitudinal fasciculus, central (slf II), are both rather difficult to identify using only histology or T1w and T2w, but in the DEC_T1 contrast, thanks to directional information, the superior longitudinal fasciculus bundles are identifiable.…”

Section: Resultsmentioning

confidence: 99%

HumanBrainAtlas: an in vivo MRI dataset for detailed segmentations

Schira

Isherwood

Kassem

et al. 2022

Preprint

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We introduce HumanBrainAtlas, an initiative to construct a highly detailed, open-access atlas of the living human brain that combines high-resolution in vivo MR imaging and detailed segmentations previously possible only in histological preparations. Here, we present and evaluate the first step of this initiative: a comprehensive dataset of two healthy male volunteers reconstructed to a 0.25 mm3 isotropic resolution for T1w, T2w and DWI contrasts. Multiple high-resolution acquisitions were collected for each contrast and each participant, followed by averaging using symmetric group-wise normalisation (Advanced Normalisation Tools). The resulting image quality permits structural parcellations rivalling histology-based atlases, while maintaining the advantages of in vivo MRI. For example, components of the thalamus, hypothalamus, and hippocampus - difficult or often impossible to identify using standard MRI protocols, can be identified within the present data. Our data are virtually distortion free, fully 3D, and compatible with existing in vivo Neuroimaging analysis tools. The dataset is suitable for teaching and is publicly available via our website (www.hba.neura.edu.au), which also provides data processing scripts. Instead of focusing on coordinates in an averaged brain space, our approach focuses on providing an example segmentation at great detail in the high quality individual brain, this serves as an illustration on what features contrasts and relations can be used to interpret MRI datasets, in research, clinical and education settings.

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Section: Resultsmentioning

confidence: 99%

HumanBrainAtlas: an in vivo MRI dataset for detailed segmentations

Schira

Isherwood

Kassem

et al. 2022

Preprint

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“…Previous studies have shown that anatomical connection strength decays exponentially with connectional length across the entire brain (Ercsey‐Ravasz et al, 2013 ). Given the relatively greater length of callosal fibers connecting the temporal and insula lobe than the other lobes (Shah et al, 2021 ), the lower density of callosal fibers reaching the temporal lobe is to some extent expected. Such lower interhemispheric connectional density might be compensated by the axon fibers connecting bilateral temporal cortices through the AC (Cipolloni & Pandya, 1985 ; Shah et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Cortical mapping of callosal connections in healthy young adults

Xiong,

Yang,

Wang

et al. 2024

Human Brain Mapping

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The corpus callosum (CC) is the principal white matter bundle supporting communication between the two brain hemispheres. Despite its importance, a comprehensive mapping of callosal connections is still lacking. Here, we constructed the first bidirectional population‐based callosal connectional atlas between the midsagittal section of the CC and the cerebral cortex of the human brain by means of diffusion‐weighted imaging tractography. The estimated connectional topographic maps within this atlas have the most fine‐grained spatial resolution, demonstrate histological validity, and were reproducible in two independent samples. This new resource, a complete and comprehensive atlas, will facilitate the investigation of interhemispheric communication and come with a user‐friendly companion online tool (CCmapping) for easy access and visualization of the atlas.

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“…The decline of cognitive function in patients with DAI grade 1 was mainly caused by dysfunction in the three cognitive domains of memory, abstraction and calculation. But for patients with DAI grade 2, after the damage of the important structure (corpus callosum) connecting the left and right sides of the brain ( Shah et al, 2021 ; Lewis et al, 2022 ), the cognitive impairment was most widely distributed, and none of the nine cognitive domains was immune. Patients with DAI grade 3 suffered from brainstem (the bridge of morphological and functional connection between telencephalon, diencephalon, cerebellum, and spinal cord) ( Henson et al, 2020 ; Paton, 2020 ) injury, showing cognitive impairment dominated by memory, calculation and orientation and executive function dysfunction.…”

Section: Discussionmentioning

confidence: 99%

Cognitive impairment in diffuse axonal injury patients with favorable outcome

Chen

Yao

et al. 2023

Front. Neurosci.

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Background and purposeTraumatic brain injury (TBI), especially the severe TBI are often followed by persistent cognitive sequalae, including decision-making difficulties, reduced neural processing speed and memory deficits. Diffuse axonal injury (DAI) is classified as one of the severe types of TBI. Part of DAI patients are marginalized from social life due to cognitive impairment, even if they are rated as favorable outcome. The purpose of this study was to elucidate the specific type and severity of cognitive impairment in DAI patients with favorable outcome.MethodsThe neurocognition of 46 DAI patients with favorable outcome was evaluated by the Chinese version of the Montreal Cognitive Assessment Basic (MoCA-BC), and the differences in the domains of cognitive impairment caused by different grades of DAI were analyzed after data conversion of scores of nine cognitive domains of MoCA-BC by Pearson correlation analysis.ResultsAmong the 46 DAI patients with favorable outcome, eight had normal cognitive function (MoCA-BC ≥ 26), and 38 had cognitive impairment (MoCA-BC < 26). The MoCA-BC scores were positively correlated with pupillary light reflex (r = 0.361, p = 0.014), admission Glasgow Coma Scale (GCS) (r = 0.402, p = 0.006), and years of education (r = 0.581, p < 0.001). Return of consciousness (r = −0.753, p < 0.001), Marshall CT (r = −0.328, p = 0.026), age (r = −0.654, p < 0.001), and DAI grade (r = −0.403, p = 0.006) were found to be negatively correlated with the MoCA-BC scores. In patients with DAI grade 1, the actually deducted scores (Ads) of memory (r = 0.838, p < 0.001), abstraction (r = 0.843, p < 0.001), and calculation (r = 0.782, p < 0.001) were most related to the Ads of MoCA-BC. The Ads of nine cognitive domains and MoCA-BC were all proved to be correlated, among patients with DAI grade 2. However, In the DAI grade 3 patients, the highest correlation with the Ads of MoCA-BC were the Ads of memory (r = 0.904, p < 0.001), calculation (r = 0.799, p = 0.006), orientation (r = 0.801, p = 0.005), and executive function (r = 0.869, p = 0.001).ConclusionDAI patients with favorable outcome may still be plagued by cognitive impairment, and different grades of DAI cause different domains of cognitive impairment.

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Corpus Callosum and Its Connections: A Fiber Dissection Study

Cited by 44 publications

References 14 publications

HumanBrainAtlas: an in vivo MRI dataset for detailed segmentations

HumanBrainAtlas: an in vivo MRI dataset for detailed segmentations

Cortical mapping of callosal connections in healthy young adults

Cognitive impairment in diffuse axonal injury patients with favorable outcome

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