Literature DB >> 30311665

Similarity of functional connectivity patterns in patients with multiple sclerosis who void spontaneously versus patients with voiding dysfunction.

Rose Khavari1, Saba N Elias2, Timothy Boone1, Christof Karmonik2.   

Abstract

AIM: To investigate if Multiple Sclerosis (MS) lesion characteristics affect functional brain connectivity (FC) during bladder voiding.
METHODS: Twenty-seven ambulatory female patients with MS completed our functional magnetic resonance imaging (fMRI)/urodynamic testing (UDS) platform. Individual fMRI activation maps were generated at initiation of voiding. FC patterns of these regions were calculated and compared. Similarity of the FC pattern from one patient relative to all others was expressed by a parameter FC_sim. A statistical analysis was performed to reveal the relationship of the existence of an enhancing brain lesion, the size of the largest lesion and the ability to void spontaneously to this FC similarity measure.
RESULTS: FC_sim values were significantly lower for patients with an enhancing MS lesion (11.7 ± 3.1 vs 5.3 ± 2.1 P < 0.001). Lesion size smaller than 20 mm inversely correlated significantly with FC_sim (R = -0.43, P = 0.05). Patients with the ability to void spontaneously had a higher FC_sim value (12.0 ± 2.8 vs 9.3 ± 4.4 s, P = 0.08). Patients that exhibited a decrease of compliance also showed a significantly lower FC_sim value (11.3 ± 3.5 vs 4.7 ± 0.7, P < 1e-5).
CONCLUSION: FC connectivity analysis derived from an fMRI task-based study including repetitive voiding cycles is able to quantify the heterogeneity of connectivity patterns in the brain of MS patients. FC similarity decreased with maximum lesion size or the presence of enhancing lesions affecting the ability to void spontaneously.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  fMRI; functional connectivity; urodynamics; voiding

Mesh:

Year:  2018        PMID: 30311665      PMCID: PMC6574088          DOI: 10.1002/nau.23837

Source DB:  PubMed          Journal:  Neurourol Urodyn        ISSN: 0733-2467            Impact factor:   2.696


  16 in total

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Journal:  Magn Reson Imaging       Date:  2007-05-11       Impact factor: 2.546

Review 2.  Urodynamics in the evaluation of the patient with multiple sclerosis: when are they helpful and how do we use them?

Authors:  Benjamin E Dillon; Gary E Lemack
Journal:  Urol Clin North Am       Date:  2014-05-20       Impact factor: 2.241

Review 3.  Spinal cord MRI in multiple sclerosis--diagnostic, prognostic and clinical value.

Authors:  Hugh Kearney; David H Miller; Olga Ciccarelli
Journal:  Nat Rev Neurol       Date:  2015-05-26       Impact factor: 42.937

Review 4.  Lower urinary tract dysfunction in the neurological patient: clinical assessment and management.

Authors:  Jalesh N Panicker; Clare J Fowler; Thomas M Kessler
Journal:  Lancet Neurol       Date:  2015-07       Impact factor: 44.182

5.  Functional network connectivity abnormalities in multiple sclerosis: Correlations with disability and cognitive impairment.

Authors:  Maria A Rocca; Paola Valsasina; Victoria M Leavitt; Mariaemma Rodegher; Marta Radaelli; Gianna C Riccitelli; Vittorio Martinelli; Filippo Martinelli-Boneschi; Andrea Falini; Giancarlo Comi; Massimo Filippi
Journal:  Mult Scler       Date:  2017-03-15       Impact factor: 6.312

6.  The correlation of urodynamic findings with cranial magnetic resonance imaging findings in multiple sclerosis.

Authors:  Y H Kim; C Goodman; E Omessi; V Rivera; M W Kattan; T B Boone
Journal:  J Urol       Date:  1998-03       Impact factor: 7.450

Review 7.  Spinal cord imaging in multiple sclerosis.

Authors:  Christopher R Tench; Paul S Morgan; Timothy Jaspan; Dorothee P Auer; Cris S Constantinescu
Journal:  J Neuroimaging       Date:  2005       Impact factor: 2.486

8.  Value of urodynamic findings in predicting upper urinary tract damage in neuro-urological patients: A systematic review.

Authors:  Stefania Musco; Barbara Padilla-Fernández; Giulio Del Popolo; Matteo Bonifazi; Bertil F M Blok; Jan Groen; Lisette 't Hoen; Jürgen Pannek; Jerome Bonzon; Thomas M Kessler; Marc P Schneider; Tobias Gross; Gilles Karsenty; Véronique Phé; Rizwan Hamid; Hazel Ecclestone; David Castro-Diaz
Journal:  Neurourol Urodyn       Date:  2018-02-02       Impact factor: 2.696

9.  Functional Magnetic Resonance Imaging with Concurrent Urodynamic Testing Identifies Brain Structures Involved in Micturition Cycle in Patients with Multiple Sclerosis.

Authors:  Rose Khavari; Christof Karmonik; Michael Shy; Sophie Fletcher; Timothy Boone
Journal:  J Urol       Date:  2016-09-21       Impact factor: 7.450

Review 10.  Management of neurogenic bladder in patients with multiple sclerosis.

Authors:  Véronique Phé; Emmanuel Chartier-Kastler; Jalesh N Panicker
Journal:  Nat Rev Urol       Date:  2016-03-31       Impact factor: 14.432

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  5 in total

1.  Brain activation patterns of female multiple sclerosis patients with voiding dysfunction.

Authors:  Rose Khavari; Jessie Chen; Timothy Boone; Christof Karmonik
Journal:  Neurourol Urodyn       Date:  2020-02-07       Impact factor: 2.696

2.  Functional brain imaging in voiding dysfunction.

Authors:  Rose Khavari; Timothy B Boone
Journal:  Curr Bladder Dysfunct Rep       Date:  2019-02-08

3.  Differential neurodegenerative phenotypes are associated with heterogeneous voiding dysfunction in a coronavirus-induced model of multiple sclerosis.

Authors:  Sanghee Lee; Balachandar Nedumaran; Joseph Hypolite; Brian Caldwell; Michael C Rudolph; Anna P Malykhina
Journal:  Sci Rep       Date:  2019-07-26       Impact factor: 4.379

4.  Data-Driven Machine-Learning Quantifies Differences in the Voiding Initiation Network in Neurogenic Voiding Dysfunction in Women With Multiple Sclerosis.

Authors:  Christof Karmonik; Timothy Boone; Rose Khavari
Journal:  Int Neurourol J       Date:  2019-09-30       Impact factor: 2.835

5.  Preliminary Analysis of Brain Footprints in Multiple Sclerosis Females With Detrusor Sphincter Dyssynergia: A Concurrent Urodynamic and Functional Magnetic Resonance Imaging Study.

Authors:  Khue Tran; Logan Hubbard; Christof Karmonik; Timothy B Boone; Rose Khavari
Journal:  Int Neurourol J       Date:  2021-12-02       Impact factor: 2.835

  5 in total

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