Literature DB >> 17870229

Clinical neurophysiology of aging brain: from normal aging to neurodegeneration.

Paolo M Rossini1, Simone Rossi, Claudio Babiloni, John Polich.   

Abstract

Physiological brain aging is characterized by a loss of synaptic contacts and neuronal apoptosis that provokes age-dependent decline of sensory processing, motor performance, and cognitive function. Neural redundancy and plastic remodelling of brain networking, also secondary to mental and physical training, promotes maintenance of brain activity in healthy elderly for everyday life and fully productive affective and intellectual capabilities. However, age is the main risk factor for neurodegenerative disorders such as Alzheimer's disease (AD) that impact on cognition. Oscillatory electromagnetic brain activity is a hallmark of neuronal network function in various brain regions. Modern neurophysiological techniques including electroencephalography (EEG), event-related potential (ERP), magnetoencephalography (MEG), and transcranial magnetic stimulation (TMS) can accurately index normal and abnormal brain aging to facilitate non-invasive analysis of cortico-cortical connectivity and neuronal synchronization of firing and coherence of rhythmic oscillations at various frequencies. The present review provides a perspective of these issues by assaying different neurophysiological methods and integrating the results with functional brain imaging findings. It is concluded that discrimination between physiological and pathological brain aging clearly emerges at the group level, with applications at the individual level also suggested. Integrated approaches utilizing neurophysiological techniques together with biological markers and structural and functional imaging are promising for large-scale, low-cost and non-invasive evaluation of at-risk populations. Practical implications of the methods are emphasized.

Entities:  

Mesh:

Year:  2007        PMID: 17870229     DOI: 10.1016/j.pneurobio.2007.07.010

Source DB:  PubMed          Journal:  Prog Neurobiol        ISSN: 0301-0082            Impact factor:   11.685


  121 in total

1.  The effect of acute effort on EEG in healthy young and elderly subjects.

Authors:  Helena Moraes; Andrea Deslandes; Heitor Silveira; Pedro Ribeiro; Mauricio Cagy; Roberto Piedade; Fernando Pompeu; Jerson Laks
Journal:  Eur J Appl Physiol       Date:  2010-09-01       Impact factor: 3.078

2.  Stability of clinical condition in mild cognitive impairment is related to cortical sources of alpha rhythms: an electroencephalographic study.

Authors:  Claudio Babiloni; Giovanni B Frisoni; Fabrizio Vecchio; Roberta Lizio; Michela Pievani; Geroldi Cristina; Claudia Fracassi; Fabrizio Vernieri; Guido Rodriguez; Flavio Nobili; Raffaele Ferri; Paolo M Rossini
Journal:  Hum Brain Mapp       Date:  2010-12-22       Impact factor: 5.038

3.  L-dopa modulates motor cortex excitability in Alzheimer's disease patients.

Authors:  Alessandro Martorana; Alessandro Stefani; Maria Giuseppina Palmieri; Zaira Esposito; Giorgio Bernardi; Giuseppe Sancesario; Mariangela Pierantozzi
Journal:  J Neural Transm (Vienna)       Date:  2008-07-02       Impact factor: 3.575

4.  Occipital sources of resting-state alpha rhythms are related to local gray matter density in subjects with amnesic mild cognitive impairment and Alzheimer's disease.

Authors:  Claudio Babiloni; Claudio Del Percio; Marina Boccardi; Roberta Lizio; Susanna Lopez; Filippo Carducci; Nicola Marzano; Andrea Soricelli; Raffaele Ferri; Antonio Ivano Triggiani; Annapaola Prestia; Serenella Salinari; Paul E Rasser; Erol Basar; Francesco Famà; Flavio Nobili; Görsev Yener; Derya Durusu Emek-Savaş; Loreto Gesualdo; Ciro Mundi; Paul M Thompson; Paolo M Rossini; Giovanni B Frisoni
Journal:  Neurobiol Aging       Date:  2014-09-21       Impact factor: 4.673

5.  Spontaneous oscillatory markers of cognitive status in two forms of dementia.

Authors:  Priyanka P Shah-Basak; Aneta Kielar; Tiffany Deschamps; Nicolaas Paul Verhoeff; Regina Jokel; Jed Meltzer
Journal:  Hum Brain Mapp       Date:  2018-11-12       Impact factor: 5.038

6.  Electroencephalogram dynamics during general anesthesia predict the later incidence and duration of burst-suppression during cardiopulmonary bypass.

Authors:  George S Plummer; Reine Ibala; Eunice Hahm; Jingzhi An; Jacob Gitlin; Hao Deng; Kenneth T Shelton; Ken Solt; Jason Z Qu; Oluwaseun Akeju
Journal:  Clin Neurophysiol       Date:  2018-11-16       Impact factor: 3.708

7.  Age-Related Changes in the Plasticity of Neural Networks Assessed by Transcranial Magnetic Stimulation With Electromyography: A Systematic Review and Meta-Analysis.

Authors:  Xiaorong Tang; Peidong Huang; Yitong Li; Juanchao Lan; Zhonghua Yang; Mindong Xu; Wei Yi; Liming Lu; Lin Wang; Nenggui Xu
Journal:  Front Cell Neurosci       Date:  2019-10-24       Impact factor: 5.505

8.  Single pulse TMS-induced modulations of resting brain neurodynamics encoded in EEG phase.

Authors:  Catherine Stamoulis; Lindsay M Oberman; Elke Praeg; Shahid Bashir; Alvaro Pascual-Leone
Journal:  Brain Topogr       Date:  2011-01-04       Impact factor: 3.020

Review 9.  Safety, ethical considerations, and application guidelines for the use of transcranial magnetic stimulation in clinical practice and research.

Authors:  Simone Rossi; Mark Hallett; Paolo M Rossini; Alvaro Pascual-Leone
Journal:  Clin Neurophysiol       Date:  2009-10-14       Impact factor: 3.708

10.  C145 as a short-latency electrophysiological index of cognitive compensation in Alzheimer's disease.

Authors:  Robert M Chapman; Anton P Porsteinsson; Margaret N Gardner; Mark Mapstone; John W McCrary; Tiffany C Sandoval; Maria D Guillily; Elizabeth DeGrush; Lindsey A Reilly
Journal:  J Alzheimers Dis       Date:  2013       Impact factor: 4.472

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