Literature DB >> 21175015

Hippocampal signal complexity in mesial temporal lobe epilepsy: a noisy brain is a healthy brain.

A B Protzner1, T A Valiante, N Kovacevic, C McCormick, M P McAndrews.   

Abstract

Patients with mesial temporal lobe epilepsy (mTLE) show structural and functional abnormalities in hippocampus and surrounding mesial temporal structures. Brain signal complexity appears to be a marker of functional integrity or capacity. We examined complexity in 8 patients with intracranial hippocampal electrodes during performance of memory tasks (scene encoding and recognition) known to be sensitive to mesial temporal integrity. Our patients were shown to have right mesial temporal seizure onsets, permitting us to evaluate both epileptogenic (right) and healthy (left) hippocampi. Using multiscale entropy (MSE) as a measure of complexity, we found that iEEG from the epileptogenic hippocampus showed less complexity than iEEG from the healthy hippocampus. This difference was reliable for encoding but not for recognition. Our results indicate that both functional integrity and cognitive demands influence hippocampal signal complexity.

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Year:  2010        PMID: 21175015

Source DB:  PubMed          Journal:  Arch Ital Biol        ISSN: 0003-9829            Impact factor:   1.000


  19 in total

1.  Moment-to-moment signal variability in the human brain can inform models of stochastic facilitation now.

Authors:  Douglas D Garrett; Anthony R McIntosh; Cheryl L Grady
Journal:  Nat Rev Neurosci       Date:  2011-09-07       Impact factor: 34.870

2.  Memory load effect in auditory-verbal short-term memory task: EEG fractal and spectral analysis.

Authors:  Miodrag Stokić; Dragan Milovanović; Miloš R Ljubisavljević; Vanja Nenadović; Milena Čukić
Journal:  Exp Brain Res       Date:  2015-07-14       Impact factor: 1.972

3.  Neural complexity as a potential translational biomarker for psychosis.

Authors:  Brandon Hager; Albert C Yang; Roscoe Brady; Shashwath Meda; Brett Clementz; Godfrey D Pearlson; John A Sweeney; Carol Tamminga; Matcheri Keshavan
Journal:  J Affect Disord       Date:  2016-10-26       Impact factor: 4.839

Review 4.  Moment-to-moment brain signal variability: a next frontier in human brain mapping?

Authors:  Douglas D Garrett; Gregory R Samanez-Larkin; Stuart W S MacDonald; Ulman Lindenberger; Anthony R McIntosh; Cheryl L Grady
Journal:  Neurosci Biobehav Rev       Date:  2013-03-01       Impact factor: 8.989

5.  Spatiotemporal dependency of age-related changes in brain signal variability.

Authors:  A R McIntosh; V Vakorin; N Kovacevic; H Wang; A Diaconescu; A B Protzner
Journal:  Cereb Cortex       Date:  2013-02-08       Impact factor: 5.357

6.  Signal Complexity of Human Intracranial EEG Tracks Successful Associative-Memory Formation across Individuals.

Authors:  Timothy C Sheehan; Vishnu Sreekumar; Sara K Inati; Kareem A Zaghloul
Journal:  J Neurosci       Date:  2018-01-12       Impact factor: 6.167

7.  Complexity of intracranial pressure correlates with outcome after traumatic brain injury.

Authors:  Cheng-Wei Lu; Marek Czosnyka; Jiann-Shing Shieh; Anna Smielewska; John D Pickard; Peter Smielewski
Journal:  Brain       Date:  2012-06-25       Impact factor: 13.501

8.  Functional embedding predicts the variability of neural activity.

Authors:  Bratislav Mišić; Vasily A Vakorin; Tomáš Paus; Anthony R McIntosh
Journal:  Front Syst Neurosci       Date:  2011-11-22

9.  Using network dynamic fMRI for detection of epileptogenic foci.

Authors:  Sanja Nedic; Steven M Stufflebeam; Carlo Rondinoni; Tonicarlo R Velasco; Antonio C dos Santos; Joao P Leite; Ana C Gargaro; Lilianne R Mujica-Parodi; Jaime S Ide
Journal:  BMC Neurol       Date:  2015-12-21       Impact factor: 2.474

10.  Correlations between the signal complexity of cerebral and cardiac electrical activity: a multiscale entropy analysis.

Authors:  Pei-Feng Lin; Men-Tzung Lo; Jenho Tsao; Yi-Chung Chang; Chen Lin; Yi-Lwun Ho
Journal:  PLoS One       Date:  2014-02-03       Impact factor: 3.240

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