The controversial existence of the human superior fronto‐occipital fasciculus: Connectome‐based tractographic study with microdissection validation

Meola, Antonio; Cömert, Ayhan; Yeh, Fang‐Cheng; Ştefăneanu, Lucia; Fernández-Miranda, Juan C.

doi:10.1002/hbm.22990

Cited by 50 publications

(46 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Of note, previous authors have suggested a lack of evidence for a superior fronto-occipital fasciculus (Meola, Comert, Yeh, Stefaneanu, & Fernandez-Miranda, 2015;Ture, Yasargil, & Pait, 1997). Consequently, some authors have used occipito-frontal fasciculus in place of IFOF (Makris et al, 2007;Reuter et al, 2009).…”

Section: Inferior Frontal-occipital Fasciculus Connectivitymentioning

confidence: 92%

White matter connections of the inferior parietal lobule: A study of surgical anatomy

et al. 2017

View full text Add to dashboard Cite

IntroductionInterest in the function of the inferior parietal lobule (IPL) has resulted in increased understanding of its involvement in visuospatial and cognitive functioning, and its role in semantic networks. A basic understanding of the nuanced white‐matter anatomy in this region may be useful in improving outcomes when operating in this region of the brain. We sought to derive the surgical relationship between the IPL and underlying major white‐matter bundles by characterizing macroscopic connectivity.MethodsData of 10 healthy adult controls from the Human Connectome Project were used for tractography analysis. All IPL connections were mapped in both hemispheres, and distances were recorded between cortical landmarks and major tracts. Ten postmortem dissections were then performed using a modified Klingler technique to serve as ground truth.ResultsWe identified three major types of connections of the IPL. (1) Short association fibers connect the supramarginal and angular gyri, and connect both of these gyri to the superior parietal lobule. (2) Fiber bundles from the IPL connect to the frontal lobe by joining the superior longitudinal fasciculus near the termination of the Sylvian fissure. (3) Fiber bundles from the IPL connect to the temporal lobe by joining the middle longitudinal fasciculus just inferior to the margin of the superior temporal sulcus.ConclusionsWe present a summary of the relevant anatomy of the IPL as part of a larger effort to understand the anatomic connections of related networks. This study highlights the principle white‐matter pathways and highlights key underlying connections.

show abstract

Section: Inferior Frontal-occipital Fasciculus Connectivitymentioning

confidence: 92%

White matter connections of the inferior parietal lobule: A study of surgical anatomy

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Additionally, the right SFO, which links frontal and parietal lobes, is associated with visuospatial functions [42]. In this context, it should be noted that a recent paper which employed both tractography and WM microdissection put forward the hypothesis that the SFO, whose anatomy is well-documented in monkeys, may not exist in the same form in human brains, hence prompting a reconsideration of the anatomical localization of brain functions classically associated with the SFO [43].…”

Section: Roi Label (Icbm-dti-81) Squared Modulus Of Roi Weights (%)mentioning

confidence: 99%

Prediction of Impaired Performance in Trail Making Test in MCI Patients With Small Vessel Disease Using DTI Data

Ciulli

Citi

Salvadori

et al. 2016

IEEE J. Biomed. Health Inform.

View full text Add to dashboard Cite

Abstract-Mild cognitive impairment (MCI) is a common condition in patients with diffuse hyperintensities of cerebral white matter (WM) in T2-weighted magnetic resonance images and cerebral small vessel disease (SVD). In MCI due to SVD, the most prominent feature of cognitive impairment lies in degradation of executive functions, i.e. of processes which supervise the organization and execution of complex behavior. The Trail Making Test (TMT) is a widely employed test sensitive to cognitive processing speed and executive functioning. MCI due to SVD has been hypothesized to be the effect of WM damage and diffusion tensor imaging (DTI) is a well-established technique for in-vivo characterization of WM. We propose a machine learning scheme tailored to 1) predicting the impairment in executive functions in patients with MCI and SVD, and 2) examining the brain substrates of this impairment. We employed data from 40 MCI patients with SVD and created feature vectors by averaging mean diffusivity (MD) and fractional anisotropy maps within 50 WM regions of interest. We trained support vector machines (SVMs) with polynomial as well as radial basis function kernels using different DTI-derived features while simultaneously optimizing parameters in leave-one-out nested crossvalidation. The best performance was obtained using MD features only and linear kernel SVMs, which were able to distinguish an impaired performance with high sensitivity (72.7%-89.5%), specificity (71.4%-83.3%) and accuracy (77.5%-80.0%). While brain substrates of executive functions are still debated, feature ranking confirm that MD in several WM regions, not limited to the frontal lobes, are truly predictive of executive functions.

show abstract

“…The automatic patient-specific tract identification was assessed as having very good colocalization with patient-specific fMRI activations. However, tractography methods are under active development (Jeurissen et al, 2014, Reisert et al, 2011, Tournier et al, 2012) and evaluation (Bucci et al, 2013, Fillard et al, 2011, Mormina et al, 2015, Neher et al, 2015, Pujol et al, 2015, Thomas et al, 2014), with many competing algorithms to choose from, and there remains significant anatomical controversy about the true extent and termination of many fiber tracts in the human brain (Dick and Tremblay, 2012, Meola et al, 2015, Von Der Heide et al, 2013) . Thus, there is unavoidable uncertainty in these and any other tractography results.…”

Section: Discussionmentioning

confidence: 99%

Automated white matter fiber tract identification in patients with brain tumors

O’Donnell

Suter

Rigolo

et al. 2017

NeuroImage: Clinical

Self Cite

119

133

View full text Add to dashboard Cite

We propose a method for the automated identification of key white matter fiber tracts for neurosurgical planning, and we apply the method in a retrospective study of 18 consecutive neurosurgical patients with brain tumors. Our method is designed to be relatively robust to challenges in neurosurgical tractography, which include peritumoral edema, displacement, and mass effect caused by mass lesions. The proposed method has two parts. First, we learn a data-driven white matter parcellation or fiber cluster atlas using groupwise registration and spectral clustering of multi-fiber tractography from healthy controls. Key fiber tract clusters are identified in the atlas. Next, patient-specific fiber tracts are automatically identified using tractography-based registration to the atlas and spectral embedding of patient tractography.Results indicate good generalization of the data-driven atlas to patients: 80% of the 800 fiber clusters were identified in all 18 patients, and 94% of the 800 fiber clusters were found in 16 or more of the 18 patients. Automated subject-specific tract identification was evaluated by quantitative comparison to subject-specific motor and language functional MRI, focusing on the arcuate fasciculus (language) and corticospinal tracts (motor), which were identified in all patients. Results indicate good colocalization: 89 of 95, or 94%, of patient-specific language and motor activations were intersected by the corresponding identified tract. All patient-specific activations were within 3mm of the corresponding language or motor tract. Overall, our results indicate the potential of an automated method for identifying fiber tracts of interest for neurosurgical planning, even in patients with mass lesions.

show abstract

The controversial existence of the human superior fronto‐occipital fasciculus: Connectome‐based tractographic study with microdissection validation

Cited by 50 publications

References 30 publications

White matter connections of the inferior parietal lobule: A study of surgical anatomy

White matter connections of the inferior parietal lobule: A study of surgical anatomy

Prediction of Impaired Performance in Trail Making Test in MCI Patients With Small Vessel Disease Using DTI Data

Automated white matter fiber tract identification in patients with brain tumors

Contact Info

Product

Resources

About