Literature DB >> 18762448

A brain-computer interface tool to assess cognitive functions in completely paralyzed patients with amyotrophic lateral sclerosis.

I H Iversen1, N Ghanayim, A Kübler, N Neumann, N Birbaumer, J Kaiser.   

Abstract

OBJECTIVE: Brain-computer interface methodology based on self-regulation of slow-cortical potentials (SCPs) of the EEG was used to assess cognitive abilities of two late-stage ALS patients.
METHODS: A monitor presented visual information in two targets. Patients used their SCPs to steer a cursor to one of the targets. Within-subject methodology tested the ability to differentiate odd/even numbers, consonants/vowels, nouns/verbs, large/small numbers, and the ability to perform simple computations. One patient had a short-term memory task with delays up to 15s.
RESULTS: Both patients reached accuracy near 90% correct on simple tasks showing that they understood the instructions, discriminated the visual stimuli, and could use the SCP to control the cursor. Both patients showed some deficit on the task that involved computations. The patient with the short-term memory task showed a large reduction in accuracy on delay trials but retained high accuracy on non-delay trials.
CONCLUSION: The fully computerized method is a useful tool for presenting a variety of two-choice tasks to assess certain cognitive functions in the severely paralyzed patient. SIGNIFICANCE: The task can potentially be used to examine maintenance or decline of cognitive abilities in individual ALS patients.

Entities:  

Mesh:

Year:  2008        PMID: 18762448     DOI: 10.1016/j.clinph.2008.07.001

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  10 in total

Review 1.  Brain computer interfaces, a review.

Authors:  Luis Fernando Nicolas-Alonso; Jaime Gomez-Gil
Journal:  Sensors (Basel)       Date:  2012-01-31       Impact factor: 3.576

2.  Towards a user-friendly brain-computer interface: initial tests in ALS and PLS patients.

Authors:  Ou Bai; Peter Lin; Dandan Huang; Ding-Yu Fei; Mary Kay Floeter
Journal:  Clin Neurophysiol       Date:  2010-03-29       Impact factor: 3.708

3.  An eye-tracker controlled cognitive battery: overcoming verbal-motor limitations in ALS.

Authors:  Barbara Poletti; Laura Carelli; Federica Solca; Annalisa Lafronza; Elisa Pedroli; Andrea Faini; Nicola Ticozzi; Andrea Ciammola; Paolo Meriggi; Pietro Cipresso; Dorothée Lulé; Albert C Ludolph; Giuseppe Riva; Vincenzo Silani
Journal:  J Neurol       Date:  2017-05-13       Impact factor: 4.849

4.  P300-Based Brain-Computer Interface Communication: Evaluation and Follow-up in Amyotrophic Lateral Sclerosis.

Authors:  Stefano Silvoni; Chiara Volpato; Marianna Cavinato; Mauro Marchetti; Konstantinos Priftis; Antonio Merico; Paolo Tonin; Konstantinos Koutsikos; Fabrizio Beverina; Francesco Piccione
Journal:  Front Neurosci       Date:  2009-06-19       Impact factor: 4.677

5.  The use of P300-based BCIs in amyotrophic lateral sclerosis: from augmentative and alternative communication to cognitive assessment.

Authors:  Pietro Cipresso; Laura Carelli; Federica Solca; Daniela Meazzi; Paolo Meriggi; Barbara Poletti; Dorothée Lulé; Albert C Ludolph; Vincenzo Silani; Giuseppe Riva
Journal:  Brain Behav       Date:  2012-07       Impact factor: 2.708

Review 6.  Brain-Computer Interface for Clinical Purposes: Cognitive Assessment and Rehabilitation.

Authors:  Laura Carelli; Federica Solca; Andrea Faini; Paolo Meriggi; Davide Sangalli; Pietro Cipresso; Giuseppe Riva; Nicola Ticozzi; Andrea Ciammola; Vincenzo Silani; Barbara Poletti
Journal:  Biomed Res Int       Date:  2017-08-23       Impact factor: 3.411

Review 7.  New technologies and Amyotrophic Lateral Sclerosis - Which step forward rushed by the COVID-19 pandemic?

Authors:  Susana Pinto; Stefano Quintarelli; Vincenzo Silani
Journal:  J Neurol Sci       Date:  2020-08-05       Impact factor: 3.181

8.  Assistive Technologies for Communication Empower Patients With ALS to Generate and Self-Report Health Data.

Authors:  Ana Londral
Journal:  Front Neurol       Date:  2022-04-26       Impact factor: 4.086

9.  Conditional associative learning examined in a paralyzed patient with amyotrophic lateral sclerosis using brain-computer interface technology.

Authors:  Ih Iversen; N Ghanayim; A Kübler; N Neumann; N Birbaumer; J Kaiser
Journal:  Behav Brain Funct       Date:  2008-11-24       Impact factor: 3.759

10.  A brain-computer interface for potential non-verbal facial communication based on EEG signals related to specific emotions.

Authors:  Koji Kashihara
Journal:  Front Neurosci       Date:  2014-08-26       Impact factor: 4.677

  10 in total

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