Literature DB >> 33807749

The Frontal Aslant Tract and Supplementary Motor Area Syndrome: Moving towards a Connectomic Initiation Axis.

Robert G Briggs1, Parker G Allan1, Anujan Poologaindran2,3, Nicholas B Dadario4,5, Isabella M Young4, Syed A Ahsan4, Charles Teo4, Michael E Sughrue4.   

Abstract

Connectomics is the use of big data to map the brain's neural infrastructure; employing such technology to improve surgical planning may improve neuro-oncological outcomes. Supplementary motor area (SMA) syndrome is a well-known complication of medial frontal lobe surgery. The 'localizationist' view posits that damage to the posteromedial bank of the superior frontal gyrus (SFG) is the basis of SMA syndrome. However, surgical experience within the frontal lobe suggests that this is not entirely true. In a study on n = 45 patients undergoing frontal lobe glioma surgery, we sought to determine if a 'connectomic' or network-based approach can decrease the likelihood of SMA syndrome. The control group (n = 23) underwent surgery avoiding the posterior bank of the SFG while the treatment group (n = 22) underwent mapping of the SMA network and Frontal Aslant Tract (FAT) using network analysis and DTI tractography. Patient outcomes were assessed post operatively and in subsequent follow-ups. Fewer patients (8.3%) in the treatment group experienced transient SMA syndrome compared to the control group (47%) (p = 0.003). There was no statistically significant difference found between the occurrence of permanent SMA syndrome between control and treatment groups. We demonstrate how utilizing tractography and a network-based approach decreases the likelihood of transient SMA syndrome during medial frontal glioma surgery. We found that not transecting the FAT and the SMA system improved outcomes which may be important for functional outcomes and patient quality of life.

Entities:  

Keywords:  SMA syndrome; connectomics; frontal aslant tract; glioma surgery; neuro-oncology; neurosurgery; parcellation; tractography

Year:  2021        PMID: 33807749      PMCID: PMC7961364          DOI: 10.3390/cancers13051116

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  5 in total

Review 1.  Should Neurosurgeons Try to Preserve Non-Traditional Brain Networks? A Systematic Review of the Neuroscientific Evidence.

Authors:  Nicholas B Dadario; Michael E Sughrue
Journal:  J Pers Med       Date:  2022-04-06

2.  A connectivity model of the anatomic substrates underlying Gerstmann syndrome.

Authors:  Qazi S Shahab; Isabella M Young; Nicholas B Dadario; Onur Tanglay; Peter J Nicholas; Yueh-Hsin Lin; R Dineth Fonseka; Jacky T Yeung; Michael Y Bai; Charles Teo; Stephane Doyen; Michael E Sughrue
Journal:  Brain Commun       Date:  2022-05-27

3.  Connectivity-based parcellation of normal and anatomically distorted human cerebral cortex.

Authors:  Stephane Doyen; Peter Nicholas; Anujan Poologaindran; Lewis Crawford; Isabella M Young; Rafeael Romero-Garcia; Michael E Sughrue
Journal:  Hum Brain Mapp       Date:  2021-11-26       Impact factor: 5.038

4.  Interventional neurorehabilitation for promoting functional recovery post-craniotomy: a proof-of-concept.

Authors:  Anujan Poologaindran; Christos Profyris; Isabella M Young; Nicholas B Dadario; Syed A Ahsan; Kassem Chendeb; Robert G Briggs; Charles Teo; Rafael Romero-Garcia; John Suckling; Michael E Sughrue
Journal:  Sci Rep       Date:  2022-02-23       Impact factor: 4.379

5.  Parcellation-based tractographic modeling of the salience network through meta-analysis.

Authors:  Robert G Briggs; Isabella M Young; Nicholas B Dadario; R Dineth Fonseka; Jorge Hormovas; Parker Allan; Micah L Larsen; Yueh-Hsin Lin; Onur Tanglay; B David Maxwell; Andrew K Conner; Jordan F Stafford; Chad A Glenn; Charles Teo; Michael E Sughrue
Journal:  Brain Behav       Date:  2022-06-22       Impact factor: 3.405

  5 in total

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