EEG neural correlates of goal-directed movement intention
Open accessAbstract
Using low-frequency time-domain electroencephalographic (EEG) signals we show, for the same type of upper limb movement, that goal-directed movements have different neural correlates than movements without a particular goal. In a reach-and-touch task, we explored the differences in the movement-related cortical potentials (MRCPs) between goal-directed and non-goal-directed movements. We evaluated if the detection of movement intention was influenced by the goal-directedness of the movement. In a single-trial classification procedure we found that classification accuracies are enhanced if there is a goal-directed movement in mind. Furthermore, by using the classifier patterns and estimating the corresponding brain sources, we show the importance of motor areas and the additional involvement of the posterior parietal lobule in the discrimination between goal-directed movements and non-goal-directed movements. We discuss next the potential contribution of our results on goal-directed movements to a more reliable brain-computer interface (BCI) control that facilitates recovery in spinal-cord injured or stroke end-users.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Neurotechnologies can decode and project very specific and often rudimentary forms of thought, such as imagined handwriting, typing, and other intended and directed movements.
“Neurotechnologies can decode and project very specific and often rudimentary forms of thought, such as imagined handwriting, 40 typing, 27 and other kinds of intended and directed movements. 28”
From AI and Neurotechnology (2023) · cites this paper as [28]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Plasticity during stroke recovery: from synapse to behaviour
Murphy, T. H., & Corbett, D. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2735 · Cited by 1,938 · see citing works
Andersen, R. A., Snyder, L. H., Bradley, D. C., & Xing, J. (1997) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.20.1.303 · Cited by 1,486 · see citing works
Identification of task parameters from movement-related cortical potentials
Gu, Y., do Nascimento, O. F., Lucas, M.-F., & Farina, D. (2009) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-009-0523-3 · Cited by 51 · see citing works
Flagged first, then by citations
Research works printed but not linked: 52
- Aflalo T. Kellis S. Klaes C. Lee B. Shi Y. Pejsa K. Shanfield K. Hayes-Jackson S. Aisen M. Heck C. Liu C. Andersen R.A. Neurophysiology. Decoding motor imagery from the posterior parietal cortex of a tetraplegic human Science 348 2015 906 910 25999506 PMC4896830
- Bhagat, N.A., French, J., Venkatakrishnan, A., Yozbatiran, N., Francisco, G.E., O’Malley, M.K., Contreras-Vidal, J.L., 2014.. Detecting movement intent from scalp EEG in a novel upper limb robotic rehabilitation system for stroke, In: Conference Proceedings IEEE Eng. Med. Biol. Soc. IEEE, pp. 4127–4130. doi: 10.1109/EMBC.2014.6944532 PMC4412739 25570900 · DOI
- Bhagat N.A. Venkatakrishnan A. Abibullaev B. Artz E.J. Yozbatiran N. Blank A.A. French J. Karmonik C. Grossman R.G. O’Malley M.K. Francisco G.E. Contreras-Vidal J.L. Design and optimization of an EEG-based brain machine interface (BMI) to an upper-limb exoskeleton for stroke survivors Front. Neurosci. 10 2016 122 27065787 PMC4815250
- Billinger M. Daly I. Kaiser V. Jin J. Allison B.Z. Müller-Putz G.R. Brunner C. Is It significant? Guidelines for Reporting BCI Performance Allison B.Z. Dunne S. Leeb R. Del R. Millán J. Nijholt A. Towards Practical Brain-Computer Interfaces, Biological and Medical Physics, Biomedical Engineering 2012 Springer Berlin Heidelberg 333 354
- Birbaumer N. Elbert T. Canavan A.G. Rockstroh B. Slow potentials of the cerebral cortex and behavior Physiol. Rev. 70 1990 1 41 2404287
- Blankertz B. Lemm S. Treder M. Haufe S. Müller K.-R. Single-trial analysis and classification of ERP components - a tutorial Neuroimage 56 2011 814 825 20600976
- Bradberry T.J. Gentili R.J. Contreras-Vidal J.L. Reconstructing three-dimensional hand movements from noninvasive electroencephalographic signals J. Neurosci. 30 2010 3432 3437 20203202 PMC6634107
- Breitwieser, C., Kreilinger, A., Neuper, C., Müller-Putz, G.R., 2010.. The TOBI hybrid BCI - the data acquisition module. In: Proceedings of the First TOBI Workshop.
- Buccino G. Binkofski F. Fink G.R. Fadiga L. Fogassi L. Gallese V. Seitz R.J. Zilles K. Rizzolatti G. Freund H.J. Action observation activates premotor and parietal areas in a somatotopic manner: an fMRI study Eur. J. Neurosci. 13 2001 400 404 11168545
- Buccino G. Solodkin A. Small S.L. Functions of the mirror neuron system: implications for neurorehabilitation Cogn. Behav. Neurol. 19 2006 55 63 16633020
- Caplan J.B. Madsen J.R. Schulze-Bonhage A. Aschenbrenner-Scheibe R. Newman E.L. Kahana M.J. Human θ oscillations related to sensorimotor integration and spatial learning J. Neurosci. 23 2003 4726 4736 12805312 PMC6740775
- Cornwell B.R. Johnson L.L. Holroyd T. Carver F.W. Grillon C. Human hippocampal and parahippocampal theta during goal-directed spatial navigation predicts performance on a virtual Morris water maze J. Neurosci. 28 2008 5983 5990 18524903 PMC2584780
- Delorme A. Makeig S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis J. Neurosci. Methods 134 2004 9 21 15102499
- Ekstrom A.D. Caplan J.B. Ho E. Shattuck K. Fried I. Kahana M.J. Human hippocampal theta activity during virtual navigation Hippocampus 15 2005 881 889 16114040
- Grafton S.T. Hamilton A.F. de C. Evidence for a distributed hierarchy of action representation in the brain Hum. Mov. Sci. 26 2007 590 616 17706312 PMC2042582
- Grosse-Wentrup M. Mattia D. Oweiss K. Using brain-computer interfaces to induce neural plasticity and restore function J. Neural Eng. 8 2011 025004 21436534 PMC4515347
- Gu Y. Dremstrup K. Farina D. Single-trial discrimination of type and speed of wrist movements from EEG recordings Clin. Neurophysiol. 120 2009 1596 1600 19535289
- Gu Y. Farina D. Murguialday A.R. Dremstrup K. Montoya P. Birbaumer N. Offline identification of imagined speed of wrist movements in paralyzed ALS patients from single-trial EEG Front. Neurosci. 3 2009 62 20582286 PMC2858603
- Jochumsen M. Niazi I.K. Dremstrup K. Kamavuako E.N. Detecting and classifying three different hand movement types through electroencephalography recordings for neurorehabilitation Med. Biol. Eng. Comput. 2015 26639017
- Jochumsen M. Niazi I.K. Taylor D. Farina D. Dremstrup K. Detecting and classifying movement-related cortical potentials associated with hand movements in healthy subjects and stroke patients from single-electrode, single-trial EEG J. Neural Eng. 12 2015 056013 26305233
- Jochumsen M. Niazi I.K. Mrachacz-Kersting N. Farina D. Dremstrup K. Detection and classification of movement-related cortical potentials associated with task force and speed J. Neural Eng. 10 2013 056015 23986024
- Kamavuako E.N. Jochumsen M. Niazi I.K. Dremstrup K. Comparison of features for movement prediction from single-trial movement-related cortical potentials in healthy subjects and stroke patients Comput. Intell. Neurosci. 2015 2015 858015 26161089 PMC4487719
- Kandel E.R. Schwartz J.H. Jessell T.M. Siegelbaum S.A. Hudspeth A.J. Principles of Neural Science 2000 McGraw-hill New York
- Lee T.W. Girolami M. Sejnowski T.J. Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources Neural Comput. 11 1999 417 441 9950738
- Lew E. Chavarriaga R. Silvoni S. Del R. Millán J. Detection of self-paced reaching movement intention from EEG signals Front. Neuroeng. 5 2012 13 23055968 PMC3458432
- Liao X. Yao D. Wu D. Li C. Combining spatial filters for the classification of single-trial EEG in a finger movement task IEEE Trans. Biomed. Eng. 54 2007 821 831 17518278
- López-Larraz E. Montesano L. Gil-Agudo Á. Minguez J. Continuous decoding of movement intention of upper limb self-initiated analytic movements from pre-movement EEG correlates J. Neuroeng. Rehabil. 11 2014 153 25398273 PMC4247645
- Makeig S. Bell A.J. Jung T.-P. Sejnowski T.J. Independent component analysis of electroencephalographic data Adv. Neural Inf. Process. Syst. 1996 145 151
- Mrachacz-Kersting N. Kristensen S.R. Niazi I.K. Farina D. Precise temporal association between cortical potentials evoked by motor imagination and afference induces cortical plasticity J. Physiol. 590 2012 1669 1682 22250210 PMC3413497
- Müller-Putz G.R. Kaiser V. Solis-Escalante T. Pfurtscheller G. Fast set-up asynchronous brain-switch based on detection of foot motor imagery in 1-channel EEG Med. Biol. Eng. Comput. 48 2010 229 233 20052556
- Müller-Putz G.R. Scherer R. Pfurtscheller G. Rupp R. EEG-based neuroprosthesis control: a step towards clinical practice Neurosci. Lett. 382 2005 169 174 15911143
- Müller-Putz G.R. Schwarz A. Pereira J. Ofner P. From classic motor imagery to complex movement intention decoding: the noninvasive Graz-BCI approach Prog. Brain Res. 2016 27590965
- Muralidharan A. Chae J. Taylor D.M. Extracting attempted hand movements from EEGs in people with complete hand paralysis following stroke Front. Neurosci. 5 2011 39 21472032 PMC3066795
- Muthukumaraswamy S.D. Johnson B.W. McNair N.A. Mu rhythm modulation during observation of an object-directed grasp Cogn. Brain Res. 19 2004 195 201 15019715
- Niazi I.K. Mrachacz-Kersting N. Jiang N. Dremstrup K. Farina D. Peripheral electrical stimulation triggered by self-paced detection of motor intention enhances motor evoked potentials IEEE Trans. Neural Syst. Rehabil. Eng. 20 2012 595 604 22547461
- Ofner P. Müller-Putz G.R. Using a noninvasive decoding method to classify rhythmic movement imaginations of the arm in two planes IEEE Trans. Biomed. Eng. 62 2015 972 981 25494495
- Ofner, P., Müller-Putz, G.R., 2012.. Decoding of velocities and positions of 3D arm movement from EEG,. Confer. Proc. IEEE Eng. Med. Biol. Soc. IEEE, pp. 6406–6409. doi: 10.1109/EMBC.2012.6347460 23367395 · DOI
- Pascual-Marqui R.D. Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details Methods Find. Exp. Clin. Pharmacol. 24 Suppl D 2002 S5 S12 12575463
- Pereira, J., Ofner, P., Müller-Putz, G.R., 2015.. Goal-directed or aimless? EEG differences during the preparation of a reach-and-touch task. Confer. Proc. IEEE Eng. Med. Biol. Soc. IEEE, pp. 1488–1491. doi: 10.1109/EMBC.2015.7318652 26736552 · DOI
- Rizzolatti G. Cattaneo L. Fabbri-Destro M. Rozzi S. Cortical mechanisms underlying the organization of goal-directed actions and mirror neuron-based action understanding Physiol. Rev. 94 2014 655 706 24692357
- Rohm M. Schneiders M. Müller C. Kreilinger A. Kaiser V. Müller-Putz G.R. Rupp R. Hybrid brain–computer interfaces and hybrid neuroprostheses for restoration of upper limb functions in individuals with high-level spinal cord injury Artif. Intelligence Med. 59 2 2013 133 142 24064256
- Rupp R. Rohm M. Schneiders M. Kreilinger A. Müller-Putz G.R. Functional rehabilitation of the paralyzed upper extremity after spinal cord injury by noninvasive hybrid neuroprostheses Proc. IEEE 103 6 2015 954 968
- Saxe R. Xiao D.-K. Kovacs G. Perrett D.I. Kanwisher N. A region of right posterior superior temporal sulcus responds to observed intentional actions Neuropsychologia 42 2004 1435 1446 15246282
- Sburlea A.I. Montesano L. Minguez J. Continuous detection of the self-initiated walking pre-movement state from EEG correlates without session-to-session recalibration J. Neural Eng. 12 2015 036007 25915773
- Schafer J. Strimmer K. A shrinkage approach to large-scale covariance matrix estimation and implications for functional genomics Stat. Appl. Genet. Mol. Biol. 4 2005 32 16646851
- Shibasaki H. Barrett G. Halliday E. Halliday A.M. Cortical potentials associated with voluntary foot movement in man Electroencephalogr. Clin. Neurophysiol. 52 1981 507 516 6172251
- Tadel F. Baillet S. Mosher J.C. Pantazis D. Leahy R.M. Brainstorm: a user-friendly application for MEG/EEG analysis Comput. Intell. Neurosci. 2011 2011 879716 21584256 PMC3090754
- Vingerhoets G. Contribution of the posterior parietal cortex in reaching, grasping, and using objects and tools Front. Psychol. 5 2014 151 24634664 PMC3942635
- Vuckovic A. Sepulveda F. Delta band contribution in cue based single trial classification of real and imaginary wrist movements Med. Biol. Eng. Comput. 46 2008 529 539 18418635
- Xu R. Jiang N. Lin C. Mrachacz-Kersting N. Dremstrup K. Farina D. Enhanced low-latency detection of motor intention from EEG for closed-loop brain-computer interface applications IEEE Trans. Biomed. Eng. 61 2014 288 296 24448593
- Xu R. Jiang N. Mrachacz-Kersting N. Dremstrup K. Farina D. Factors of influence on the performance of a short-latency non-invasive brain switch: evidence in healthy individuals and implication for motor function rehabilitation Front. Neurosci. 9 2015 527 26834551 PMC4720791
- Yong X. Menon C. EEG classification of different imaginary movements within the same limb PLoS One 10 2015 e0121896 25830611 PMC4382224
Cited by
Sorted by citations
Berger, S., & Rossi, F. (2023) · Communications of the ACM · doi:10.1145/3529088 · Cited by 21 · see citing works
- Authors
- Pereira, J., Ofner, P., Schwarz, A., Sburlea, A. I., & Müller-Putz, G. R.
- Affiliations
- Graz University of Technology (AT)
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 149
- Pages
- 129-140
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC5387183
- OpenAlex
- W2580041548
- Cited by
- 116
- References
- 3
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 12 · 2023: 15 · 2022: 12 · 2021: 17 · 2020: 18 · 2019: 12 · 2018: 14 · 2017: 3
- FWCI
- 7.37
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- NeuroImage (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- Funders
- EU ICT (H2020-643955)
- ERC Consolidator (ERC-681231)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cognitive Neuroscience › Free Will and Agency
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- goal-directed movement, movement intention, movement-related cortical potentials, single-trial classification, brain-computer interface, motor areas, spinal cord injury, stroke rehabilitation
- MeSH terms
- Neurological Rehabilitation, Adult, Brain, Electroencephalography, Female, Humans, Male, Movement, Evoked Potentials, Motor, Intention, Young Adult, Brain-Computer Interfaces
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review