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Artykuły w czasopismach na temat „Low resolution brain electromagnetic tomography”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Pascual-Marqui, Roberto D. "Low Resolution Brain Electromagnetic Tomography (LORETA)." Journal of Neurotherapy 4, no. 4 (2001): 31–33. http://dx.doi.org/10.1300/j184v04n04_05.

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Pascual-Marqui, R. "Low resolution brain electromagnetic tomography (LORETA)." Electroencephalography and Clinical Neurophysiology 103, no. 1 (1997): 25–26. http://dx.doi.org/10.1016/s0013-4694(97)88020-4.

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Sos, P., M. Brunovsky, J. P. Prasko, J. Koprivova, B. Tislerova, and V. Krajca. "Low resolution brain electromagnetic tomography findings in panic disorder." European Psychiatry 23 (April 2008): S356—S357. http://dx.doi.org/10.1016/j.eurpsy.2008.01.1234.

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Iqbal, Muhammad Mubashir. "Performance Analysis of Low Resolution EEG Source Localization Techniques." Sir Syed University Research Journal of Engineering & Technology 12, no. 1 (2022): 52–57. http://dx.doi.org/10.33317/ssurj.411.

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the brain source localization has attained the significant fascination over the last few decades. Source localization in the human brain is a prospective complication that is derived in the multifaceted real-world complications because of the brain’s practical and biological density, other than medical precincts of assembling EEG from enormously various subjects. It is validated that the electromagnetic signal recorded on the top of scalp is owing to the collective actions of a neurons inside the brain. Any impulsive action of the brain, sensory stimulus, cognitive action, or the generation of

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Indra, K. Wardani, Sittiprapaporn Phakkharawat, Djohan, and Tyasinestu Fortunata. "Karawitans' musician brain adaptation: standardized low-resolution electromagnetic tomography study." International Journal of Artificial Intelligence (IJ-AI) 12, no. 1 (2023): 23–33. https://doi.org/10.11591/ijai.v23.i1.pp23-33.

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The rapid advancement of music studies has resulted in a plethora of multidisciplinary participants. Rather than distinguishing between musicians and non-musicians’ brain activity, the current study indicated differences in brain activity while musicians listened to music based on their musical experience. In Go/NoGo response task reaction times, it showed that effects between treatments and visits were different across periods of cognitive function tests. The cognitive function at post-listening assessment out-performed the pre-listening in terms of reaction times 531.94 (±24.70)

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Wardani, Indra K., Phakkharawat Sittiprapaporn, Djohan Djohan, and Fortunata Tyasinestu. "Karawitans’ musician brain adaptation: standardized low-resolution electromagnetic tomography study." IAES International Journal of Artificial Intelligence (IJ-AI) 12, no. 1 (2023): 23. http://dx.doi.org/10.11591/ijai.v12.i1.pp23-33.

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<span lang="EN-US">The rapid advancement of music studies has resulted in a plethora of multidisciplinary participants. Rather than distinguishing between musicians and non-musicians’ brain activity, the current study indicated differences in brain activity while musicians listened to music based on their musical experience. In Go/NoGo response task reaction times, it showed that effects between treatments and visits were different across periods of cognitive function tests. The cognitive function at post-listening assessment out-performed the pre-listening in terms of reaction times (53

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Painold, Annamaria, Peter Anderer, Anna K. Holl, et al. "EEG low-resolution brain electromagnetic tomography (LORETA) in Huntington’s disease." Journal of Neurology 258, no. 5 (2010): 840–54. http://dx.doi.org/10.1007/s00415-010-5852-5.

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Pascual-Marqui, Roberto D., Dietrich Lehmann, Martha Koukkou, et al. "Assessing interactions in the brain with exact low-resolution electromagnetic tomography." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 369, no. 1952 (2011): 3768–84. http://dx.doi.org/10.1098/rsta.2011.0081.

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Scalp electric potentials (electroencephalogram; EEG) are contingent to the impressed current density unleashed by cortical pyramidal neurons undergoing post-synaptic processes. EEG neuroimaging consists of estimating the cortical current density from scalp recordings. We report a solution to this inverse problem that attains exact localization: exact low-resolution brain electromagnetic tomography (eLORETA). This non-invasive method yields high time-resolution intracranial signals that can be used for assessing functional dynamic connectivity in the brain, quantified by coherence and phase sy

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Tejay, Gurvirender P., and Zareef A. Mohammed. "Examining the Low- Resolution Electromagnetic Tomography Technique for EEG Brain Mapping." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 54, no. 1 (2023): 66–81. http://dx.doi.org/10.1145/3583581.3583586.

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NeuroIS presents a new opportunity for information systems research. Often used neuroscience techniques include brain mapping with the functional magnetic resonance imaging (fMRI) device or eventrelated potential time-domain studies with the electroencephalogram (EEG). The critics of EEG consider the poor spatial resolution as justification for EEG's inadequacy to brain mapping studies. However, the low-resolution electromagnetic tomography (LORETA) technique provides strong estimation parameters allowing EEG to perform brain mapping. This paper presents EEG (with lower number of channels) and

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Jaušovec, Norbert, and Ksenija Jaušovec. "Spatiotemporal brain activity related to intelligence: a low resolution brain electromagnetic tomography study." Cognitive Brain Research 16, no. 2 (2003): 267–72. http://dx.doi.org/10.1016/s0926-6410(02)00282-3.

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Sherlin, Leslie, and Marco Congedo. "Obsessive-compulsive dimension localized using low-resolution brain electromagnetic tomography (LORETA)." Neuroscience Letters 387, no. 2 (2005): 72–74. http://dx.doi.org/10.1016/j.neulet.2005.06.069.

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Arai, Mio, Hideaki Tanaka, Masaki Harada, Akinori Hozumi, Kaoru Yamazaki, and Koichi Hirata. "EEG evaluation of spinocerebellar degeneration with low resolution brain electromagnetic tomography." International Congress Series 1232 (April 2002): 543–47. http://dx.doi.org/10.1016/s0531-5131(01)00688-4.

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Scharmüller, Wilfried, Verena Leutgeb, Axel Schäfer, and Anne Schienle. "Investigating phobic specificity with standardized low resolution brain electromagnetic tomography (sLORETA)." Brain Research 1477 (October 2012): 74–82. http://dx.doi.org/10.1016/j.brainres.2012.08.016.

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Pascual-Marqui, R. D., M. Koukkou, K. Kochi, and D. Lehmann. "Low Resolution Brain Electromagnetic Tomography (LORETA) Cross-Registered to the Standard Talairach Brain Atlas." NeuroImage 7, no. 4 (1998): S807. http://dx.doi.org/10.1016/s1053-8119(18)31640-9.

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Lv, Yan, Huijuan Chen, Zhiyan Sui, et al. "Spectrum-specific encephalography standardized low-resolution brain electromagnetic tomography network and gray matter correlations in vascular dementia patients." International Journal of Distributed Sensor Networks 16, no. 1 (2020): 155014771989596. http://dx.doi.org/10.1177/1550147719895960.

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Vascular dementia, secondary to Alzheimer’s dementia, ranks as one of the most frequent dementia types. The process of vascular dementia is divergent with other neurodegenerative dementias and thus reversible at the early cognitive disorder or mild dementia stages. The encephalography and neuroimaging data mining at different stages would bring neuromodulation strategies in practice; 15 mild cognitive impairment patients and 16 mild vascular dementia patients as well as 17 cognitive healthy controls were screened in this study. Cognitive tests such as Mini-Mental State Examination, Montreal co

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Vachrintr, Sirisapsombat, Sittiprapaporn Phakkharawat, Chaiyasut Chaiyavat, Sirilun Sasithorn, Chaisricharoen Roungsan, and Nararatwanchai Thamthiwat. "Source localization of tone perception in alcoholic brain indexed by standardized low-resolution electromagnetic tomography." International Journal of Artificial Intelligence (IJ-AI) 9, no. 3 (2020): 561–68. https://doi.org/10.11591/ijai.v9.i3.pp561-568.

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Alcohol consumption is known to associate with several diseases, injuries, and social problems. The long-term, excessive alcohol exposure can lead to liver cirrhosis and pancreatitis. After repating alcohol exposure, alcohol dependence would develop an individually behavioral, cognitive, and physiological phenomenon. Previous studies indicated that although the left hemisphere was selectively employed for processing linguistic information irrespectively of acoustic cues or subtype of phonological unit, the right hemisphere was employed for prosody-specific cues. These previous studies provided

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17

Frei, Edi, Alex Gamma, Roberto Pascual-Marqui, Dietrich Lehmann, Daniel Hell, and Franz X. Vollenweider. "Localization of MDMA-induced brain activity in healthy volunteers using low resolution brain electromagnetic tomography (LORETA)." Human Brain Mapping 14, no. 3 (2001): 152–65. http://dx.doi.org/10.1002/hbm.1049.

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Kim, Won-Ho, Dongrae Cho, Boreom Lee, Jae-Jin Song, and Teo Jeon Shin. "Changes in brain activation during sedation induced by dexmedetomidine." Journal of International Medical Research 45, no. 3 (2017): 1158–67. http://dx.doi.org/10.1177/0300060517705477.

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Objective Dexmedetomidine (DEX) has been widely used as a sedative, acting as an α2-adrenergic agonist on autoreceptors, presynaptic receptors and postsynaptic receptors without risk of respiratory depression. Although consciousness impairment is closely related to disturbances of brain function in different frequency bands, the time-varying DEX effects on cortical activity in specific frequency bands has not yet been studied. Methods We used electroencephalography (EEG) to analyse differences in cerebral cortex activity between the awake and sedated states, using electromagnetic tomography (s

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19

Lv, Yan, Xiangying He, Eryi Zhao, et al. "Spectral specific standardized low-resolution brain electromagnetic tomography default mode connectivity network and plasticity alterations in left vertebral artery stent patients." International Journal of Distributed Sensor Networks 16, no. 3 (2020): 155014772090361. http://dx.doi.org/10.1177/1550147720903619.

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Objective: Vertebral stenting is a valid treatment for posterior stroke. However, the outcome and prognostic factors in the Asian population of vertebral stent are not clear. This study was performed to investigate the quick effect and plasticity alterations of left vertebral artery stenting treatment and to explore the underlying electroencephalogram biomarkers for the prognosis. Method: Electroencephalogram default mode network activity, serum brain-derived neurotrophic factor, and basic neuropsychology estimations were obtained from nine male left vertebral artery stenosis patients who unde

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Ding, Lei, Yuan Lai, and Bin He. "Low resolution brain electromagnetic tomography in a realistic geometry head model: a simulation study." Physics in Medicine and Biology 50, no. 1 (2004): 45–56. http://dx.doi.org/10.1088/0031-9155/50/1/004.

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Anderer, Peter, Roberto D. Pascual-Marqui, Heribert V. Semlitsch, and Bernd Saletu. "Electrical Sources of P300 Event-Related Brain Potentials Revealed by Low Resolution Electromagnetic Tomography." Neuropsychobiology 37, no. 1 (1997): 20–27. http://dx.doi.org/10.1159/000026472.

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Anderer, Peter, Bernd Saletu, Heribert V. Semlitsch, and Roberto D. Pascual-Marqui. "Electrical Sources of P300 Event-Related Brain Potentials Revealed by Low Resolution Electromagnetic Tomography." Neuropsychobiology 37, no. 1 (1997): 28–35. http://dx.doi.org/10.1159/000026473.

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Sherlin, Leslie, Thomas Budzynski, Helen Kogan Budzynski, Marco Congedo, Mary E. Fischer, and Dedra Buchwald. "Low-resolution electromagnetic brain tomography (LORETA) of monozygotic twins discordant for chronic fatigue syndrome." NeuroImage 34, no. 4 (2007): 1438–42. http://dx.doi.org/10.1016/j.neuroimage.2006.11.007.

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Pascual-Marqui, R. D., C. M. Michel, and D. Lehmann. "Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain." International Journal of Psychophysiology 18, no. 1 (1994): 49–65. http://dx.doi.org/10.1016/0167-8760(84)90014-x.

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Sittiprapaporn, Phakkharawat. "Standardized low-resolution electromagnetic tomography of preattentive auditory discrimination in accumulative drinker." Asian Journal of Medical Sciences 11, no. 2 (2020): 52–58. http://dx.doi.org/10.3126/ajms.v11i2.26580.

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Background: The present study proposes a task-dependent hypothesis in which the phonological units of segmental (e.g., consonant and vowel) and suprasegmental (e.g., prosodic) are processed in discrete asymmetry of the human brain. Although the left hemisphere (LH) is selectively employed for processing linguistic information irrespectively of acoustic cues or subtype of phonological unit, the right hemisphere (RH) is employed for prosody-specific cues.Although the left hemisphere is selectively employed for processing linguistic information irrespectively of acoustic cues or subtype of phonol

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Sirisapsombat, Vachrintr, Phakkharawat Sittiprapaporn, Chaiyavat Chaiyasut, Sasithorn Sirilun, Roungsan Chaisricharoen, and Thamthiwat Nararatwanchai. "Source localization of tone perception in alcoholic brain indexed by standardized low-resolution electromagnetic tomography." IAES International Journal of Artificial Intelligence (IJ-AI) 9, no. 3 (2020): 561. http://dx.doi.org/10.11591/ijai.v9.i3.pp561-568.

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<p>Alcohol consumption is known to associate with several diseases, injuries, and social problems. The long-term, excessive alcohol exposure can lead to liver cirrhosis and pancreatitis. After repating alcohol exposure, alcohol dependence would develop an individually behavioral, cognitive, and physiological phenomenon. Previous studies indicated that although the left hemisphere was selectively employed for processing linguistic information irrespectively of acoustic cues or subtype of phonological unit, the right hemisphere was employed for prosody-specific cues. These previous studies

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Lee, Bo Reom, Hae Jeong Park, Sang Soo Cho, et al. "Analysis of brain activation pattern during continuous recognition memory tasks using low resolution brain electromagnetic tomography algorithm." NeuroImage 13, no. 6 (2001): 699. http://dx.doi.org/10.1016/s1053-8119(01)92042-7.

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Saletu, Michael, Peter Anderer, Heribert V. Semlitsch, et al. "Low-resolution brain electromagnetic tomography (LORETA) identifies brain regions linked to psychometric performance under modafinil in narcolepsy." Psychiatry Research: Neuroimaging 154, no. 1 (2007): 69–84. http://dx.doi.org/10.1016/j.pscychresns.2006.04.005.

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Pascual-Marqui, R. "Hyperfrontality in never-treated, first-break schizophrenics demonstrated by low resolution brain electromagnetic tomography (LORETA)." Electroencephalography and Clinical Neurophysiology 103, no. 1 (1997): 92. http://dx.doi.org/10.1016/s0013-4694(97)88376-2.

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Saletu, M., P. Anderer, H. V. Semlitsch, et al. "P0015 Low-resolution brain electromagnetic tomography (LORETA) identifies brain regions linked to psychometric performance under modafinil in narcolepsy." Sleep Medicine 8 (February 2007): S73. http://dx.doi.org/10.1016/s1389-9457(07)70276-9.

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Emory, Hamlin, and Neptune Mizrahi. "Glycaemic control by monoamine oxidase inhibition in a patient with type 1 diabetes." Diabetes and Vascular Disease Research 14, no. 2 (2016): 163–65. http://dx.doi.org/10.1177/1479164116675492.

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We present clinical, electroencephalographic and low-resolution electromagnetic tomography data that support combined treatment with insulin and a monoamine oxidase inhibitor in a patient with type 1 diabetes. We suggest that brain imaging data can identify a subgroup of patients who are likely to benefit from an insulin regimen and monoamine oxidase inhibition to improve glycaemic control, cardiovascular function, normalize the circadian rhythm and restore perception of glycaemic awareness.

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Park, Doo-Heum, Jee Hyun Ha, Seung-Ho Ryu, Jaehak Yu, and Chul-Jin Shin. "Three-Dimensional Electroencephalographic Changes on Low-Resolution Brain Electromagnetic Tomography (LORETA) During the Sleep Onset Period." Clinical EEG and Neuroscience 46, no. 4 (2014): 340–46. http://dx.doi.org/10.1177/1550059414536713.

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Jeong, Seong-Hae, Ki-Young Jung, Jae-Moon Kim, and Ji Soo Kim. "Medial Temporal Activation in Mal de Debarquement Syndrome Revealed by Standardized Low-Resolution Brain Electromagnetic Tomography." Journal of Clinical Neurology 8, no. 3 (2012): 238. http://dx.doi.org/10.3988/jcn.2012.8.3.238.

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Pascual-Marqui, Roberto D., Dietrich Lehmann, Thomas Koenig, et al. "Low resolution brain electromagnetic tomography (LORETA) functional imaging in acute, neuroleptic-naive, first-episode, productive schizophrenia." Psychiatry Research: Neuroimaging 90, no. 3 (1999): 169–79. http://dx.doi.org/10.1016/s0925-4927(99)00013-x.

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Rakusa, M., P. Busan, P. P. Battaglini, and J. Zidar. "ID 274 – Separating idea from the action: A standardized low-resolution brain electromagnetic tomography (sLORETA) study." Clinical Neurophysiology 127, no. 3 (2016): e126. http://dx.doi.org/10.1016/j.clinph.2015.11.427.

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Zhang, Fawen, Aniruddha Deshpande, Chelsea Benson, Mathew Smith, James Eliassen, and Qian-Jie Fu. "The adaptive pattern of the auditory N1 peak revealed by standardized low-resolution brain electromagnetic tomography." Brain Research 1400 (July 2011): 42–52. http://dx.doi.org/10.1016/j.brainres.2011.05.036.

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Norhaslinda, Kamaruddin, Wahab Abdul Rahman Abdul, and Handiyani Dini. "Pornography Addiction Detection based on Neurophysiological Computational Approach." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 1 (2018): 138–45. https://doi.org/10.11591/ijeecs.v10.i1.pp138-145.

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The rise of Internet access, social media and availability of smart phones intensify the epidemic of pornography addiction especially among younger teenagers. Such scenario may offer many side effects to the individual such as alteration of the behavior, changes in moral value and rejection to normal community convention. Hence, it is imperative to detect pornography addiction as early as possible. In this paper, a method of using brain signal from frontal area captured using EEG is proposed to detect whether the participant may have porn addiction or otherwise. It acts as a complementary appr

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Thompson, Michael, Lynda Thompson, and Andrea Reid-Chung. "Treating Postconcussion Syndrome with LORETA Z-Score Neurofeedback and Heart Rate Variability Biofeedback: Neuroanatomical/Neurophysiological Rationale, Methods, and Case Examples." Biofeedback 43, no. 1 (2015): 15–26. http://dx.doi.org/10.5298/1081-5937-43.1.07.

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Media attention has highlighted the critical problem of concussion injuries in sport and the challenge of treating and rehabilitating individuals with traumatic brain injury. The authors present a framework for the treatment of traumatic brain injury, using low-resolution electromagnetic tomography Z-score based neurofeedback and heart rate–variability biofeedback. The article advocates a comprehensive assessment process including the use of a 19-channel quantitative electroencephalogram, a heart rate variability baseline, and symptom severity questionnaires for attention deficit/hyperactivity

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Kaur, Chamandeep, Preeti Singh, and Sukhtej Sahni. "Electroencephalography-Based Source Localization for Depression Using Standardized Low Resolution Brain Electromagnetic Tomography – Variational Mode Decomposition Technique." European Neurology 81, no. 1-2 (2019): 63–75. http://dx.doi.org/10.1159/000500414.

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Background: Electroencephalography (EEG) may be used as an objective diagnosis tool for diagnosing various disorders. Recently, source localization from EEG is being used in the analysis of real-time brain monitoring applications. However, inverse problem reduces the accuracy in EEG signal processing systems. Objectives: This paper presents a new method of EEG source localization using variational mode decomposition (VMD) and standardized the low resolution brain electromagnetic tomography (sLORETA) inverse model. The focus is to compare the effectiveness of the proposed approach for EEG signa

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Jung, Ki-Young, Jae-Wook Cho, Eun Yeon Joo, et al. "Cognitive effects of topiramate revealed by standardised low-resolution brain electromagnetic tomography (sLORETA) of event-related potentials." Clinical Neurophysiology 121, no. 9 (2010): 1494–501. http://dx.doi.org/10.1016/j.clinph.2010.03.013.

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Pawlowski, M., Y. Abshir Ahmed, P. Beitinger, and A. Steiger. "Standardized low resolution brain electromagnetic tomography during sleep and heart rate variability after olanzapine in healthy volunteers." European Neuropsychopharmacology 29 (2019): S606. http://dx.doi.org/10.1016/j.euroneuro.2018.11.893.

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Zuo, Tong, Lihui Jiang, Yuhan Cheng, et al. "Deep Learning-Based Electric Field Enhancement Imaging Method for Brain Stroke." Sensors 24, no. 20 (2024): 6634. http://dx.doi.org/10.3390/s24206634.

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In clinical settings, computed tomography (CT), magnetic resonance imaging (MRI), or positron emission tomography (PET) are commonly employed in brain imaging to assist clinicians in determining the type of stroke in patients. However, these modalities are associated with potential hazards or limitations. In contrast, microwave imaging emerges as a promising technique, offering advantages such as non-ionizing radiation, low cost, lightweight, and portability. The primary challenges faced by microwave tomography include the severe ill-posedness of the electromagnetic inverse scattering problem

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Tarasova, Irina V., Darya S. Kupriyanova, Irina D. Syrova, Anastasia S. Sosnina, and Olga A. Trubnikova. "THETA CURRENT SOURCES DENSITY CHANGES IN CARDIAC SURGERY PATIENTS COGNITIVE AFTER MULTITASKING TRAINING." Complex Issues of Cardiovascular Diseases 12, no. 4S (2023): 44–52. http://dx.doi.org/10.17802/2306-1278-2023-12-4s-44-52.

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HighlightsWe estimated theta current sources density changes in patients who received cognitive multitasking training in the early postoperative period of cardiac surgery.Patients with cognitive multitasking training had a significantly lower theta current source density (t<–3.89; p<0.002) before surgery compared to baseline. The strongest differences were localized in Brodmann areas 7, 19 and 31 which related to the structures of the parieto-occipital lobes of the brain, cuneus and precuneus. AbstractAim. The effect of cognitive recovery techniques on brain activity remains a significan

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Dattola, Serena, Francesco Carlo Morabito, Nadia Mammone, and Fabio La Foresta. "Findings about LORETA Applied to High-Density EEG—A Review." Electronics 9, no. 4 (2020): 660. http://dx.doi.org/10.3390/electronics9040660.

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Electroencephalography (EEG) is a non-invasive diagnostic technique for recording brain electric activity. The EEG source localization has been an area of research widely explored during the last decades because it provides helpful information about brain physiology and abnormalities. Source localization consists in solving the so-called EEG inverse problem. Over the years, one of the most employed method for solving it has been LORETA (Low Resolution Electromagnetic Tomography). In particular, in this review, we focused on the findings about the LORETA family algorithms applied to high-densit

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Kim, Kwang Yeon, Ja-Un Moon, Joo-Young Lee, Tae-Hoon Eom, Young-Hoon Kim, and In-Goo Lee. "Distributed source localization of epileptiform discharges in juvenile myoclonic epilepsy: Standardized low-resolution brain electromagnetic tomography (sLORETA) Study." Medicine 101, no. 26 (2022): e29625. http://dx.doi.org/10.1097/md.0000000000029625.

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Anderer, P., G. Klösch, G. Gruber, et al. "Low-resolution brain electromagnetic tomography revealed simultaneously active frontal and parietal sleep spindle sources in the human cortex." Neuroscience 103, no. 3 (2001): 581–92. http://dx.doi.org/10.1016/s0306-4522(01)00028-8.

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Hanna, N., D. Urbach, and J. Attias. "Objective extraction of concealed information by Visual Evoked Potentials (VEPs) and Standardized Low Resolution Brain Electromagnetic Tomography (sLORETA)." Clinical Neurophysiology 127, no. 3 (2016): e36. http://dx.doi.org/10.1016/j.clinph.2015.11.114.

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Naro, Antonino, Placido Bramanti, Antonino Leo, et al. "Towards a method to differentiate chronic disorder of consciousness patients' awareness: The Low-Resolution Brain Electromagnetic Tomography Analysis." Journal of the Neurological Sciences 368 (September 2016): 178–83. http://dx.doi.org/10.1016/j.jns.2016.07.016.

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Soufflet, Laurent, Peter Boeijinga, Nathalie Pross, Philippe Danjou, and Luc Staner. "P4-073: EEG effects of scopolamine in healthy subjects: A standardized low resolution brain electromagnetic tomography (sLORETA) study." Alzheimer's & Dementia 7 (July 2011): S726. http://dx.doi.org/10.1016/j.jalz.2011.05.2094.

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Lin, I.-Mei, Hong-En Yu, Yi-Chun Yeh, et al. "Prefrontal Lobe and Posterior Cingulate Cortex Activations in Patients with Major Depressive Disorder by Using Standardized Weighted Low-Resolution Electromagnetic Tomography." Journal of Personalized Medicine 11, no. 11 (2021): 1054. http://dx.doi.org/10.3390/jpm11111054.

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Background: The differences in brain activity between patients with major depressive disorder (MDD) and healthy adults have been confirmed by functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and electroencephalography (EEG). The prefrontal lobe and posterior cingulate cortex (PCC) are related to emotional regulation in patients with MDD. However, the high cost and poor time resolution of fMRI and PET limit their clinical application. Recently, researchers have used high time resolution of standardized weighted low-resolution electromagnetic tomography (swLORETA

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