Differentiating a Network of Executive Attention: Loreta Neurofeedback in Anterior Cingulate and Dorsolateral Prefrontal Cortices

REFERENCES

• Altmann C. F., Nakata H., Noguchi Y., Inui K., Hoshiyama M., Kaneoke Y., et al. Temporal dynamics of adaptation to natural sounds in the human auditory cortex. Cerebral Cortex 2008; 18(6)1350–1360
   PubMed Web of Science ®Google Scholar
• Babiloni F., Carducci F., Cincotti F., Del Gratta C., Pizella V., et al. Linear inverse source estimate of combined EEG and MEG data related to voluntary movements. Human Brain Mapping 2001; 14(4)197–209
   PubMed Web of Science ®Google Scholar
• Bai X., He B. On the estimation of the number of dipole sources in EEG source localization. Clinical Neurophysiology 2005; 116(9)2037–2043
   PubMed Web of Science ®Google Scholar
• Barnea A., Rassis A., Zaidel E. Effect of neurofeedback on hemispheric word recognition. Brain and Cognition 2005; 3(59)314–321
   Web of Science ®Google Scholar
• Basar E., Basar-Eroglu C., Karakas S., Schurmann M. Gamma, alpha, delta, and theta oscillations govern cognitive processes. International Journal of Psychophysiology 2001; 39(2–3)241–248
   PubMed Web of Science ®Google Scholar
• Bench C., Frith C., Graby P., Friston K., Paulesu E., Frackowiak R., et al. Investigations of the functional anatomy of attention using the Stroop Test. Neuropsychologia 1993; 31: 907–922
   PubMed Web of Science ®Google Scholar
• Benjamini Y., Hochberg Y. Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of Royal Statistical Society. Series B (Methodological) 1995; 57(1)289–300
   Web of Science ®Google Scholar
• Benjamini Y., Hochberg Y. Multiple hypotheses testing with weights. Scandinavian Journal of Statistics 1997; 24(3)407–418
   Web of Science ®Google Scholar
• Blom J. L., Anneveldt M. An electrode cap tested. Electroencephalography and Clinical Neurophysiology 1982; 54: 591–594
   PubMedGoogle Scholar
• Boon P., D’Have M., Van Hoey G., Vanrumste B., Vonck K., et al. Source localization in refractory partial epilepsy. Revista De Neurologia (Paris) 1999; 155(6–7)499–508
   PubMed Web of Science ®Google Scholar
• Burgess A. P., Gruzelier J. H. Short duration synchronization of human theta rhythm during recognition memory. Neuroreport 1997; 8(4)1039–1042
   PubMed Web of Science ®Google Scholar
• Bush G., Luu P., Posner M. I. Cognitive and emotional influences in anterior cingulate cortex. Trends in Cognitive Science 2000; 4: 215–222
   PubMed Web of Science ®Google Scholar
• Cabeza R., Dolcos F., Prince S., Rice H., Weissman D., Nyberg L. Attention-related activity during episodic memory retrieval: A cross-function fMRI study. Neuropsychologia 2003; 41: 390–399
   PubMed Web of Science ®Google Scholar
• Cannon R., Lubar J., Clements J., Harvey E., Baldwin D. Practical joking and cingulate cortex: A standardized low-resolution electromagnetic tomography (sLORETA) investigation of practical joking in the cerebral volume. Journal of Neurotherapy., in press
   Google Scholar
• Cannon R., Lubar J., Congedo M., Thornton K., Hutchens T., Towler K. The effects of neurofeedback in the cognitive division of the anterior cingulate gyrus. International Journal of Neuroscience 2007; 117(3)337–357
   PubMed Web of Science ®Google Scholar
• Cannon R., Lubar J., Gerke A., Thornton K., Hutchens T., McCammon V. Topographical coherence and absolute power changes resulting from LORETA neurofeedback in the anterior cingulate gyrus. Journal of Neurotherapy 2006; 10(1)5–31
   Google Scholar
• Carr T. Automaticity and cognitive anatomy: Is word recognition automatic?. American Journal of Psychology 1992; 105: 201–237
   PubMed Web of Science ®Google Scholar
• Cohen J. D., Botvinick M., Carter C. Anterior cingulate and prefrontal cortex: Who's in control?. Nature Neuroscience 2000; 3(5)421–423
   PubMed Web of Science ®Google Scholar
• Congedo M. Tomographic neurofeedback: A new technique for the self-regulation of brain electrical activity, et al. University of Tennessee, Knoxville, TN 2003, Dissertation: Experimental Psychology
   Google Scholar
• Congedo M. Subspace projection filters for real-time brain electromagnetic imaging. IEEE Transactions on Biomedical Engineering 2006; 53(8)1624–1634
   PubMed Web of Science ®Google Scholar
• Congedo M., Lubar J., Joffe D. Low-resolution electromagnetic tomography neurofeedback. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2004; 12(4)387–397
   PubMed Web of Science ®Google Scholar
• Cook R., Farewell V.T. Multiplicity considerations in the design and analysis of clinical trials. Journal of the Royal Statistical Society, Series A 1996; 159: 93–110
   Web of Science ®Google Scholar
• Devinsky O., Morrell M., Vogt B. Contributions of anterior cingulate cortex to behaviour. Brain 1995; 118: 279–306
   PubMed Web of Science ®Google Scholar
• Duncan J., Owen A. M. Common regions of the human frontal lobe recruited by diverse cognitive demands. Trends Neurosci. 1996; 23(10)475–483
   Web of Science ®Google Scholar
• Fazio F., Perani D., Gilardi M. C., Colombo F., Cappa S. F., Vallar G. Metabolic impairment in human amnesia: A PET study of memory networks. Journal of Cerebral Blood Flow & Metabolism 1992; 12: 353–358
   PubMed Web of Science ®Google Scholar
• Fell J., Klaver P., et al. Rhinal-hippocampal theta coherence during declarative memory formation: Interaction with gamma synchronization?. European Journal of Neuroscience 2003; 17(5)1082–1088
   PubMed Web of Science ®Google Scholar
• Garavan H., Ross T. J., Murphy K., et al. Dissociable executive functions in the dynamic control of behavior: Inhibition, error detection, and correction. NeuroImage 2002; 17: 1820–1829
   PubMed Web of Science ®Google Scholar
• Garavan H., Ross T. J., Stein E. A. Right hemispheric dominance of inhibitory control: An event-related functional MRI study. Proc. Natl Acad Sci USA 1999; 96(14)8301–8306
   PubMed Web of Science ®Google Scholar
• Goncharova I. I., McFarland D., Vaughan T., Wolpaw J. EMG contamination of EEG: pectral and topographical characteristics. Clinical Neurophysiology 2003; 114: 1580–1593
   PubMed Web of Science ®Google Scholar
• Gusnard D. A., Akbudak E., Shulman G. L., Raichle M. E. Medial prefrontal cortex and self-referential mental activity: relation to a default mode of brain function. Proceedings of the National Academy of Sciences (USA) 2001; 98(7)4259–4264
   PubMed Web of Science ®Google Scholar
• Gusnard D., Akbudak E., et al. Role of medial prefrontal cortex in a default mode of brain function. NeuroImage 2001; 13(6 Suppl. 1)414
   Web of Science ®Google Scholar
• Hallez H., Vanrumste B., et al. Review on solving the forward problem in EEG source analysis. Journal of NeuroEngineering and Rehabilitation 2007; 4(1)46.
   PubMed Web of Science ®Google Scholar
• Hammond D. C. What is neurofeedback?. Journal of Neurotherapy 2006; 10(4)25–36
   Google Scholar
• Hester R., Fassbender C., Garavan H. Individual differences in error processing: A review and reanalysis of three event-related fMRI studies using the GO/NOGO task. Cerebral Cortex 2004; 14(9)986–994
   PubMed Web of Science ®Google Scholar
• Heyder K., Suchan B., Daum I. Cortico-subcortical contributions to executive control. Acta Psychologica 2004; 115: 271–289
   PubMed Web of Science ®Google Scholar
• Holmes M. D., Brown M., et al. Are “generalized” seizures truly generalized? Evidence of localized mesial frontal and frontopolar discharges in absence. Epilepsia 2004; 45(12)1568–1579
   PubMed Web of Science ®Google Scholar
• Kaiser D. A. What is quantitative EEG?. Journal of Neurotherapy 2006; 10(4)37–52
   Google Scholar
• Kane M. J., Hambrick D. Z., Tuholski S. W., Wilhelm O., Payne T. W., Engle R. W. The generality of working memory capacity: A latent-variable approach to verbal and visuospatial memory span and reasoning. J Exp Psychol Gen 1996; 133(2)189–217
   Web of Science ®Google Scholar
• Klimesch W. Eeg alpha and theta oscillations reflect cognitive and memory performance: A review and analysis. Brain Res Brain Res Rev 1996; 29(2–3)169–195
   Google Scholar
• Klimesch W., Doppelmayr M., et al. Theta band power in the human scalp EEG and the encoding of new information. Neuroreport 1996; 7(7)1235–1240
   PubMed Web of Science ®Google Scholar
• Klimesch W., Doppelmayr M., et al. Brain oscillations and human memory: EEG correlates in the upper alpha and theta band. Neuroscience Letters 1997; 238(1–2)9–12
   PubMed Web of Science ®Google Scholar
• Klimesch W., Doppelmayr M., et al. Event-related desynchronization in the alpha band and the processing of semantic information. Brain Research. Cognitive Brain Research 1997; 6(2)83–94
   PubMedGoogle Scholar
• Klimesch W., Doppelmayr M., et al. Theta synchronization and alpha desynchronization in a memory task. Psychophysiology 1997; 34(2)169–176
   PubMed Web of Science ®Google Scholar
• Klimesch W., Doppelmayr M., Wimmer H., Gruber W., Rohm D., Schwaiger J. Alpha and beta band power changes in normal and dyslexic children. Clin Neurophysiol 1996; 112(7)1186–1195
   Web of Science ®Google Scholar
• Knyazev G. G., Savostyanov A. N., Levin E. Uncertainty, anxiety, and brain oscillations. Neuroscience Letters 2005; 387(3)121–125
   PubMed Web of Science ®Google Scholar
• Kondo H., Morishita M., Osaka N., Osaka N., Fukuyama H., Shibasaki H. Functional roles of the cingulo-frontal network in performance on working memory. Neuroimage 2003; 21: 2–14
   Web of Science ®Google Scholar
• Kosson D. S., Budhani S., Nakic M., Chen G., Saad Z., et al. The role of the amygdala and rostral anterior cingulate in encoding expected outcomes during learning. Neuroimage 2006; 29(4)1161–1172
   PubMed Web of Science ®Google Scholar
• Lancaster J. L., Rainey L. H., Summerlin J. L., Freitas C. S., Fox P. T., Evans A. C., et al. Automated labeling of the human brain: A preliminary report on the development and evaluation of a forward-transform method. Human Brain Mapping 1997; 5: 238–242
   PubMed Web of Science ®Google Scholar
• Lancaster J. L., Woldorff M. G., Parsons L. M., Liotti M., Freitas C. S., Rainey L., et al. Automated Talairach atlas labels for functional brain mapping. Human Brain Mapping 2000; 10: 120–131
   PubMed Web of Science ®Google Scholar
• Lehmann D., Faber P. L., et al. Brain sources of EEG gamma frequency during volitionally meditation-induced, altered states of consciousness, and experience of the self. Psychiatry Research 2001; 108(2)111–121
   PubMed Web of Science ®Google Scholar
• Lehmann D., Faber P. L., et al. EEG microstate duration and syntax in acute, medication-naive, first-episode schizophrenia: A multi-center study. Psychiatry Research 2005; 138(2)141–156
   PubMed Web of Science ®Google Scholar
• Lehmann D., Faber P. L., et al. Coherence and phase locking in the scalp EEG and between LORETA model sources, and microstates as putative mechanisms of brain temporo-spatial functional organization. Journal of Physiology (Paris) 2006; 99(1)29–36
   PubMedGoogle Scholar
• Levesque J., Beauregard M., Mensour B. Effect of neurofeedback training on the neural substrates of selective attention in children with attention-deficit/hyperactivity disorder: A functional magnetic resonance imaging study. Neuroscience Letters 2006; 394(3)216–221
   PubMed Web of Science ®Google Scholar
• Levy R., Goldman-Rakic P. S. Segregation of working memory functions within the dorsolateral prefrontal cortex. Experimental Brain Research 2000; 133(1)23–32
   PubMed Web of Science ®Google Scholar
• Lubar J. F. Neocortical dynamics: Implications for understanding the role of neurofeedback and related techniques for the enhancement of attention. Applied Psychophysiology and Biofeedback 1997; 22(2)111–126
   PubMed Web of Science ®Google Scholar
• Lubar J. F. Neurofeedback for the management of attention deficit disorders. Biofeedback: A Practitioner's Guide 3rd, M. S. Schwartz, F. Andrasik. Guilford, New York 2003; 409–437
   Google Scholar
• Lubar J. O., Lubar J. F. Electroencephalographic biofeedback of SMR and beta for treatment of attention deficit disorders in a clinical setting. Biofeedback & Self Regulation 1984; 9: 1–23
   PubMedGoogle Scholar
• Markela-Lerenc J., Ille N., Kaiser S., Fiedler P., Mundt C., Weisbrod M. Prefrontal-cingulate activation during executive control: Which comes first?. Cognitive Brain Research 2004; 18: 278–287
   PubMedGoogle Scholar
• McKiernan K., D’Angelo B., Kaufman J., Binder J. Interrupting the “stream of consciousness”: An fMRI investigation. Neuroimage 2005
   PubMed Web of Science ®Google Scholar
• Milner B. Aspects of human frontal lobe function. Epilepsy and the Functional Anatomy of the Frontal Lobe, H. H. Jasper, S. Riggio, P. S. Goldman-Rakic. Raven, New York 1995; 67–84
   Google Scholar
• Mininel S., Vatta F., et al. Three-dimensional finite-difference EEG forward problem solution on high performance computers. Conference Proceedings of IEEE Engineering in Medicine and Biology Society 2006; 1: 1114–1117
   Google Scholar
• Nachtsheim C. J., Neter J., Kutner M., Wasserman W. Applied Linear Regression Models, 4th ed. Irwin-McGraw-Hill, New York 1996; 48–162
   Google Scholar
• Nyberg L., Forkstam C., Peterson K., Cabeza R., Ingvar M. Brain imaging of human memory systems: Between-systems similarities and within-system differences. Cognitive Brain Research 2002; 13: 281–292
   PubMedGoogle Scholar
• Ortuño F., Ojeda N., Arbizu J., Lopez P., Marti-Climent J. M., Peñuelas I., et al. Sustained attention in a counting task: Normal performance and functional neuroanatomy. Neuroimage 2001; 17: 411–420
   Web of Science ®Google Scholar
• Pardo J. V., Pardo P., Janer K., Raichle M. The anterior cingulate cortex mediates processing selection in the Stroop attentional conflict paradigm. Proceedings of the National Academy of Sciences (USA) 1990; 87: 256–259
   PubMed Web of Science ®Google Scholar
• Pascual-Marqui R. D. Standardized Low Resolution brain electromagnetic Tomography (sLORETA): Technical details. Methods & Findings in Experimental & Clinical Pharmacology 2002; 24D: 5–12.
   Google Scholar
• Pascual-Marqui R. D., Esslen M., et al. Functional imaging with low-resolution brain electromagnetic tomography (LORETA): A review. Methods & Findings in Experimental & Clinical Pharmacology 2002; 24(Suppl C)91–95.
   PubMed Web of Science ®Google Scholar
• Pascual-Marqui R. D., Esslen M., Kochi K., Lehmann D. Functional imaging with low-resolution brain electromagnetic tomography (LORETA): A review. Methods & Findings in Experimental & Clinical Pharmacology 2002a; 24C: 91–95
   Google Scholar
• Pascual-Marqui R. D., Esslen M., Kochi K., Lehmann D. Functional imaging with low-resolution brain electromagnetic tomography (LORETA): Review, new comparisons, and new validation. Japanese Journal of Clinical Neurophysiology 2002b; 30: 81–94.
   Google Scholar
• Pascual-Marqui R. D., Lehmann D., Koenig T., Kochi K., Merlo M. C. G., Hell D., et al. Low-resolution brain electromagnetic tomography (LORETA) functional imaging in acute, neuroleptic-naïve, first-break, productive schizophrenics. Psychiatry Research Neuroimaging 1999; 90: 169–179
   PubMed Web of Science ®Google Scholar
• Pascual-Marqui R. D., Michel C. M., Lehmann D. Low-resolution electromagnetic tomography: A new method for localizing electrical activity in the brain. International Journal of Psychophysiology 1994; 18: 49–65.
   PubMed Web of Science ®Google Scholar
• Peniston E., Kulkosky P. Brainwave training and b-endorphin levels in alcoholics. Alcoholism: Clinical and Experimental Research 1989; 13(2)271–279
   PubMed Web of Science ®Google Scholar
• Peniston E. G., Kulkosky P. J. Alcoholic personality and alpha-theta brainwave training. Medical Psychotherapy: An International Journal 1990; 3: 37–55.
   Google Scholar
• Peniston E. G., Kulkosky P. J. Alpha–theta brainwave neuro-feedback therapy for Vietnam veterans with combat-related post-traumatic stress disorder. Medical Psychotherapy: An InternationalJournal 1991; 4: 47–60
   Google Scholar
• Pizzagalli D., Oakes T. R., Davidson R. J. Coupling of theta and glucose metabolism in the human rostral anterior cingulate cortex: An EEG/PET study of normal and depressed subjects. Psychophysiology 2003; 40: 939–949
   PubMed Web of Science ®Google Scholar
• Posner M., Petersen S. The attention system of the human brain. Annual Review of Neuroscience 1990; 13: 25–42
   PubMed Web of Science ®Google Scholar
• Roth S. R., Sterman M. B., Clemente C. D. Comparison of EEG correlates of reinforcement, internal inhibition and sleep. Electroencephalogr Clin Neurophysiol. 1967; 23(6)509–520
   PubMedGoogle Scholar
• Rowe J. B., Toni I., Frakowiak R. S. J., et al. Response selection or maintenance within working memory?. Science 2000; 288: 1656–1660
   PubMed Web of Science ®Google Scholar
• Santiago-Rodriguez E., Harmony T., et al. EEG source localization of interictal epileptiform activity in patients with partial complex epilepsy: Comparison between dipole modeling and brain distributed source models. Clinical Electroencephalography 2002; 33(1)42–47
   PubMedGoogle Scholar
• Santiago-Rodriguez E., Harmony T., et al. Interictal regional cerebral blood flow and electrical source analysis in patients with complex partial seizures. Archives of Medical Research 2006; 37(1)145–149
   PubMed Web of Science ®Google Scholar
• Sattler J. Assessment of Children: Cognitive Applications 4th, et al. Publishers, San Diego, CA 2001; 382–395
   Google Scholar
• Scherg M., Berg P. Use of prior knowledge in brain electromagnetic source analysis. Brain Topography 1991; 4(2)143–150
   PubMedGoogle Scholar
• Scherg M., Ebersole J. Models of brain sources. Brain Topography 1993; 5(4)419–423
   PubMedGoogle Scholar
• Scherg M., Picton T. Separation and identification of event-related potential components by brain electric source analysis. Electroencephalography and Clinical Neurophysiology 1991, Suppl. 42: 24–37
   PubMedGoogle Scholar
• Sterman M. B. Basic concepts and clinical findings in the treatment of seizure disorders with EEG operant conditioning. Clinical Electroencephalography 2000a; 31: 45–55
   PubMedGoogle Scholar
• Sterman B. EEG markers for attention deficit disorder: Pharmacological and neurofeedback applications. Child Study Journal 2000b; 30(1)1–23
   Google Scholar
• Sterman M. B., Wywricka W. EEG correlates of sleep: Evidence for separate forebrain substrates. Brain Research 1967; 6: 143–163
   PubMedGoogle Scholar
• Sterman M. B., Wywricka W., Roth S. R. Electrophysiological correlates and neural substrates of alimentary behavior in the cat. Annals of the New York Academy of Sciences 1969; 157: 723–739
   PubMed Web of Science ®Google Scholar
• Strubb R. L., Black W. F. The Mental Status Examination in Neurology 4th, et al. F. A. Davis, Philadelphia 2000; 40–55
   Google Scholar
• Talairach J., Tournoux P. Co-Planar Stereoaxic Atlas of the Human Brain, et al. Theme Medical, New York 1988
   Google Scholar
• Towle V. L., Bolaños J., Suarez D., Tan K., Grzeszczuk R., Levin D. N., et al. The spatial location of eeg electrodes: Locating the best fitting sphere relative to cortical anatomy. Electroencephalography and Clinical Neurophysiology 1993; 86: 1–6
   PubMedGoogle Scholar
• Von Stein A., Rappelsberger P., Sarnthein J., Petsche H. Synchronization between temporal and parietal cortex during multimodal object processing in man. Cerebral Cortex 1999; 9: 137–150
   PubMed Web of Science ®Google Scholar
• Weiskopf N., Veit R., Erb M., Mathiak K., Grodd W., et al. Physiological self-regulation of regional brain activity using real-time functional magnetic resonance imaging (fMRI): Methodology and exemplary data. Neuroimage 2003; 19(3)577–586
   PubMed Web of Science ®Google Scholar
• Wywricka W., Sterman M. B. Instrumental conditioning of sensorimotor cortex EEG spindles in the waking cat. Physiology & Behavior 1968; 3: 703–707
   Web of Science ®Google Scholar
• Zhang Y., Zhu S., et al. An EEG forward solution using second-order anisotropic FEM. Conference Proceedings of IEEE Engineering in Medicine and Biology Society 2004; 6: 4433–4435
   Google Scholar