Literature DB >> 14741685

Resting functional MRI with temporal clustering analysis for localization of epileptic activity without EEG.

Victoria L Morgan1, Ronald R Price, Amir Arain, Pradeep Modur, Bassel Abou-Khalil.   

Abstract

We report on the methods and initial findings of a novel noninvasive technique, resting functional magnetic resonance imaging (fMRI) with temporal clustering analysis (TCA), for localizing interictal epileptic activity. Nine subjects were studied including six temporal lobe epilepsy (TLE) patients with confirmed localization indicated by successful seizure control after resection. The remaining three subjects had standard presurgical evaluations with inconsistent results or suspected extratemporal lobe foci. Peaks of activity, presumably epileptic, were detected in all nine subjects, using the resting functional MRI with temporal clustering analysis. In all six patients who underwent resective surgery, the fMRI with temporal clustering analysis accurately determined the epileptogenic hippocampal hemisphere (P = 0.005). In the three subjects without confirmed localization, the technique determined regions of activity consistent with those determined by the presurgical assessments. Though more studies are required to validate this technique, the results demonstrate the potential of the resting fMRI with temporal clustering technique to detect and localize epileptic activity without the need for simultaneous electroencephalography (EEG). The greatest potential benefit of this technique will be in the evaluation of patients with suspected extratemporal lobe epilepsy and patients whose standard assessments are discordant.

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Year:  2004        PMID: 14741685     DOI: 10.1016/j.neuroimage.2003.08.031

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  23 in total

1.  Detection of epileptic activity in fMRI without recording the EEG.

Authors:  R Lopes; J M Lina; F Fahoum; J Gotman
Journal:  Neuroimage       Date:  2012-01-28       Impact factor: 6.556

2.  Independent component analysis as a model-free approach for the detection of BOLD changes related to epileptic spikes: a simulation study.

Authors:  Pierre LeVan; Jean Gotman
Journal:  Hum Brain Mapp       Date:  2009-07       Impact factor: 5.038

3.  ICA decomposition of EEG signal for fMRI processing in epilepsy.

Authors:  José P Marques; José Rebola; Patrícia Figueiredo; Alda Pinto; Francisco Sales; Miguel Castelo-Branco
Journal:  Hum Brain Mapp       Date:  2009-09       Impact factor: 5.038

4.  Limits of 2D-TCA in detecting BOLD responses to epileptic activity.

Authors:  Yasha Borna Khatamian; Firas Fahoum; Jean Gotman
Journal:  Epilepsy Res       Date:  2011-02-25       Impact factor: 3.045

5.  A few thoughts on brain ROIs.

Authors:  Tianming Liu
Journal:  Brain Imaging Behav       Date:  2011-09       Impact factor: 3.978

6.  Detection of irregular, transient fMRI activity in normal controls using 2dTCA: comparison to event-related analysis using known timing.

Authors:  Victoria L Morgan; John C Gore
Journal:  Hum Brain Mapp       Date:  2009-10       Impact factor: 5.038

7.  Functional epileptic network in left mesial temporal lobe epilepsy detected using resting fMRI.

Authors:  Victoria L Morgan; John C Gore; Bassel Abou-Khalil
Journal:  Epilepsy Res       Date:  2009-11-27       Impact factor: 3.045

8.  Delineating potential epileptogenic areas utilizing resting functional magnetic resonance imaging (fMRI) in epilepsy patients.

Authors:  Ricardo Pizarro; Veena Nair; Timothy Meier; Ryan Holdsworth; Evelyn Tunnell; Paul Rutecki; Karl Sillay; Mary E Meyerand; Vivek Prabhakaran
Journal:  Neurocase       Date:  2016-06-30       Impact factor: 0.881

9.  Temporal clustering analysis: what does it tell us about the resting state of the brain?

Authors:  Victoria L Morgan; John C Gore; Jerzy P Szaflarski
Journal:  Med Sci Monit       Date:  2008-07

Review 10.  Resting-state fMRI studies in epilepsy.

Authors:  Yu-Feng Zang; Shi-Gang Zhao
Journal:  Neurosci Bull       Date:  2012-08       Impact factor: 5.203

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