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Volumn 8, Issue 1, 2018, Pages

Predicting sex from brain rhythms with deep learning

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; AGED; BRAIN; ELECTROENCEPHALOGRAPHY; FEMALE; HUMAN; MALE; MIDDLE AGED; PHYSIOLOGY; PROCEDURES; SEXUAL CHARACTERISTICS; VERY ELDERLY;

EID: 85042188918     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/s41598-018-21495-7     Document Type: Article
Times cited : (118)

References (51)
  • 1
    • 0037123595 scopus 로고    scopus 로고
    • Is face processing species-specific during the first year of life?
    • Pascalis, O., de Haan, M. & Nelson, C. A. Is Face Processing Species-Specific During the First Year of Life? Science (80-.). 296 (2002).
    • (2002) Science (80-.) , vol.296
    • Pascalis, O.1    De Haan, M.2    Nelson, C.A.3
  • 2
    • 17044392636 scopus 로고    scopus 로고
    • Plasticity of face processing in infancy
    • Pascalis, O. et al. Plasticity of face processing in infancy. Proc. Natl. Acad. Sci. USA 102, 5297-300 (2005).
    • (2005) Proc. Natl. Acad. Sci. USA , vol.102 , pp. 5297-5300
    • Pascalis, O.1
  • 3
    • 33745745579 scopus 로고    scopus 로고
    • Why sex matters for neuroscience
    • Cahill, L. Why sex matters for neuroscience. Nat. Rev. Neurosci. 7, 477-484 (2006).
    • (2006) Nat. Rev. Neurosci. , vol.7 , pp. 477-484
    • Cahill, L.1
  • 4
    • 85042457933 scopus 로고    scopus 로고
    • Human subcortical brain asymmetries in 15,847 people worldwide reveal effects of age and sex
    • Guadalupe, T. et al. Human subcortical brain asymmetries in 15,847 people worldwide reveal effects of age and sex. Brain Imaging Behav. 1-18, https://doi.org/10.1007/s11682-016-9629-z (2016).
    • (2016) Brain Imaging Behav. , pp. 1-18
    • Guadalupe, T.1
  • 5
    • 84950336702 scopus 로고    scopus 로고
    • Sex beyond the genitalia: The human brain mosaic
    • Joel, D. et al. Sex beyond the genitalia: The human brain mosaic. Proc. Natl. Acad. Sci. USA 112, 15468-73 (2015).
    • (2015) Proc. Natl. Acad. Sci. USA , vol.112 , pp. 15468-15473
    • Joel, D.1
  • 6
    • 84894235124 scopus 로고    scopus 로고
    • A meta-analysis of sex differences in human brain structure
    • Ruigrok, A. N. V. et al. A meta-analysis of sex differences in human brain structure. Neurosci. Biobehav. Rev. 39, 34-50 (2014).
    • (2014) Neurosci. Biobehav. Rev. , vol.39 , pp. 34-50
    • Ruigrok, A.N.V.1
  • 7
    • 84964430134 scopus 로고    scopus 로고
    • EEG alpha asymmetry as a gender-specific predictor of outcome to acute treatment with different antidepressant medications in the randomized iSPOT-D study
    • Arns, M. et al. EEG alpha asymmetry as a gender-specific predictor of outcome to acute treatment with different antidepressant medications in the randomized iSPOT-D study. Clin. Neurophysiol. 127, 509-519 (2016).
    • (2016) Clin. Neurophysiol. , vol.127 , pp. 509-519
    • Arns, M.1
  • 8
    • 78049303516 scopus 로고    scopus 로고
    • Neural syntax: Cell assemblies, synapsembles, and readers
    • Buzsáki, G. Neural Syntax: Cell Assemblies, Synapsembles, and Readers. Neuron 68, 362-385 (2010).
    • (2010) Neuron , vol.68 , pp. 362-385
    • Buzsáki, G.1
  • 10
    • 34250548621 scopus 로고
    • Überdas Elektroenkephalogramm des Menschen
    • Berger, H. Überdas Elektroenkephalogramm des Menschen. Arch. Psychiatr. Nervenkr. 87, 527-570 (1929).
    • (1929) Arch. Psychiatr. Nervenkr. , vol.87 , pp. 527-570
    • Berger, H.1
  • 11
    • 84925640732 scopus 로고    scopus 로고
    • Electroencephalogram predicts outcome in patients with postanoxic coma during mild therapeutic hypothermia. Crit
    • Tjepkema-Cloostermans, M. et al. Electroencephalogram predicts outcome in patients with postanoxic coma during mild therapeutic hypothermia. Crit. Care Med. 43 (2015).
    • (2015) Care Med. , vol.43
    • Tjepkema-Cloostermans, M.1
  • 12
    • 84929262585 scopus 로고    scopus 로고
    • Early EEG contributes to multimodal outcome prediction of postanoxic coma
    • Hofmeijer, J. et al. Early EEG contributes to multimodal outcome prediction of postanoxic coma. Neurology 1-7 (2015).
    • (2015) Neurology , pp. 1-7
    • Hofmeijer, J.1
  • 14
    • 85015084961 scopus 로고    scopus 로고
    • Neurophysiological correlates of attentional fluctuation in attention-deficit/hyperactivity disorder
    • Cheung, C. H. M. et al. Neurophysiological Correlates of Attentional Fluctuation in Attention-Deficit/Hyperactivity Disorder. Brain Topogr. 30, 320-332 (2017).
    • (2017) Brain Topogr. , vol.30 , pp. 320-332
    • Cheung, C.H.M.1
  • 15
    • 85027237394 scopus 로고    scopus 로고
    • Standardization of electroencephalography for multi-site, multi-platform and multi-investigator studies: Insights from the canadian biomarker integration network in depression
    • Farzan, F. et al. Standardization of electroencephalography for multi-site, multi-platform and multi-investigator studies: insights from the canadian biomarker integration network in depression. Sci. Rep. 7, 7473 (2017).
    • (2017) Sci. Rep. , vol.7 , pp. 7473
    • Farzan, F.1
  • 16
    • 85025121266 scopus 로고    scopus 로고
    • Frontal alpha asymmetry as a diagnostic marker in depression: Fact or fiction? A meta-analysis
    • van der Vinne, N., Vollebregt, M. A., van Putten, M. J. A. M. & Arns, M. Frontal alpha asymmetry as a diagnostic marker in depression: Fact or fiction? A meta-analysis. NeuroImage Clin. 16 (2017).
    • (2017) NeuroImage Clin. , vol.16
    • Van Der Vinne, N.1    Vollebregt, M.A.2    Van Putten, M.J.A.M.3    Arns, M.4
  • 17
    • 84892566519 scopus 로고    scopus 로고
    • Sex differences in the structural connectome of the human brain
    • Ingalhalikar, M. et al. Sex differences in the structural connectome of the human brain. Proc. Natl. Acad. Sci. USA 111, 823-8 (2014).
    • (2014) Proc. Natl. Acad. Sci. USA , vol.111 , pp. 823-828
    • Ingalhalikar, M.1
  • 18
    • 84899829407 scopus 로고    scopus 로고
    • Computer-assisted interpretation of the EEG background pattern: A clinical evaluation
    • Lodder, S. S., Askamp, J. & van Putten, M. J. A. M. Computer-Assisted Interpretation of the EEG Background Pattern: A Clinical Evaluation. PLoS One 9, e85966 (2014).
    • (2014) PLoS One , vol.9 , pp. e85966
    • Lodder, S.S.1    Askamp, J.2    Van Putten, M.J.A.M.3
  • 19
    • 41849115257 scopus 로고    scopus 로고
    • The colorful brain: Visualization of EEG background patterns
    • van Putten, M. Ja. M. The colorful brain: visualization of EEG background patterns. J. Clin. Neurophysiol. 25, 63-8 (2008).
    • (2008) J. Clin. Neurophysiol. , vol.25 , pp. 63-68
    • Van Putten, M.1    Ja, M.2
  • 20
    • 1842559903 scopus 로고    scopus 로고
    • A brain symmetry index (BSI) for online EEG monitoring in carotid endarterectomy
    • van Putten, M. et al. A brain symmetry index (BSI) for online EEG monitoring in carotid endarterectomy. Clin. Neurophysiol. 115, 1189-94 (2004).
    • (2004) Clin. Neurophysiol. , vol.115 , pp. 1189-1194
    • Van Putten, M.1
  • 22
    • 35148850659 scopus 로고    scopus 로고
    • Quantitative EEG indices of sub-acute ischaemic stroke correlate with clinical outcomes
    • Finnigan, S. P., Walsh, M., Rose, S. E. & Chalk, J. B. Quantitative EEG Indices of Sub-acute Ischaemic Stroke Correlate with Clinical Outcomes. Clin. Neurophysiol. 118, 2525-2532 (2007).
    • (2007) Clin. Neurophysiol. , vol.118 , pp. 2525-2532
    • Finnigan, S.P.1    Walsh, M.2    Rose, S.E.3    Chalk, J.B.4
  • 23
    • 85007206710 scopus 로고    scopus 로고
    • Spike detection: Inter-reader agreement and a statistical Turing test on a large data set
    • Scheuer, M. L., Bagic, A. & Wilson, S. B. Spike detection: Inter-reader agreement and a statistical Turing test on a large data set. Clin. Neurophysiol. https://doi.org/10.1016/j.clinph.2016.11.005 (2016).
    • (2016) Clin. Neurophysiol.
    • Scheuer, M.L.1    Bagic, A.2    Wilson, S.B.3
  • 24
    • 24644444651 scopus 로고    scopus 로고
    • Detecting temporal lobe seizures from scalp EEG recordings: A comparison of various features
    • van Putten, M. J. A. M., Kind, T., Visser, F. & Lagerburg, V. Detecting temporal lobe seizures from scalp EEG recordings: a comparison of various features. Clin. Neurophysiol. 116, 2480-2489 (2005).
    • (2005) Clin. Neurophysiol. , vol.116 , pp. 2480-2489
    • Van Putten, M.J.A.M.1    Kind, T.2    Visser, F.3    Lagerburg, V.4
  • 25
    • 84930636135 scopus 로고    scopus 로고
    • Machine intelligence
    • Chouard, T. & Venema, L. Machine intelligence. Nature 521, 435 (2015).
    • (2015) Nature , vol.521 , pp. 435
    • Chouard, T.1    Venema, L.2
  • 26
    • 85006167886 scopus 로고    scopus 로고
    • Small-world characteristics of cortical connectivity changes in acute stroke
    • Caliandro, P. et al. Small-World Characteristics of Cortical Connectivity Changes in Acute Stroke. Neurorehabil. Neural Repair 31, 81-94 (2017).
    • (2017) Neurorehabil. Neural Repair , vol.31 , pp. 81-94
    • Caliandro, P.1
  • 27
    • 85018803737 scopus 로고    scopus 로고
    • Cerebral recovery index: Reliable help for prediction of neurologic outcome after cardiac arrest
    • Tjepkema-cloostermans, M. C. et al. Cerebral Recovery Index: Reliable Help for Prediction of Neurologic Outcome After Cardiac Arrest. Crit. Care Med. 1-9, https://doi.org/10.1097/CCM.0000000000002412 (2017).
    • (2017) Crit. Care Med. , pp. 1-9
    • Tjepkema-Cloostermans, M.C.1
  • 28
    • 84930631638 scopus 로고    scopus 로고
    • Probabilistic machine learning and artificial intelligence
    • Ghahramani, Z. Probabilistic machine learning and artificial intelligence. Nature 521, 452-459 (2015).
    • (2015) Nature , vol.521 , pp. 452-459
    • Ghahramani, Z.1
  • 30
    • 85016143105 scopus 로고    scopus 로고
    • Dermatologist-level classification of skin cancer with deep neural networks
    • Esteva, A. et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature 542, 115-118 (2017).
    • (2017) Nature , vol.542 , pp. 115-118
    • Esteva, A.1
  • 32
    • 84969850969 scopus 로고    scopus 로고
    • Visualizing deep convolutional neural networks using natural pre-images
    • Mahendran, A. & Vedaldi, A. Visualizing Deep Convolutional Neural Networks Using Natural Pre-images. Int. J. Comput. Vis. 120, 233-255 (2016).
    • (2016) Int. J. Comput. Vis. , vol.120 , pp. 233-255
    • Mahendran, A.1    Vedaldi, A.2
  • 33
    • 0028269395 scopus 로고
    • Gender differences in quantitative EEG at rest and during photic stimulation in normal young adults
    • Wada, Y., Takizawa, Y., Jiang, Z. Y. & Yamaguchi, N. Gender differences in quantitative EEG at rest and during photic stimulation in normal young adults. Clin. Electroencephalogr. 25, 81-5 (1994).
    • (1994) Clin. Electroencephalogr. , vol.25 , pp. 81-85
    • Wada, Y.1    Takizawa, Y.2    Jiang, Z.Y.3    Yamaguchi, N.4
  • 34
    • 84861225614 scopus 로고    scopus 로고
    • A review on sex differences in processing emotional signals
    • Kret, M. E. & De Gelder, B. A review on sex differences in processing emotional signals. Neuropsychologia 50, 1211-1221 (2012).
    • (2012) Neuropsychologia , vol.50 , pp. 1211-1221
    • Kret, M.E.1    De Gelder, B.2
  • 35
    • 47749125403 scopus 로고    scopus 로고
    • Gender differences in the mu rhythm of the human mirror-neuron system
    • Cheng, Y. et al. Gender differences in the mu rhythm of the human mirror-neuron system. PLoS One 3, 1-7 (2008).
    • (2008) PLoS One , vol.3 , pp. 1-7
    • Cheng, Y.1
  • 36
    • 0021839919 scopus 로고
    • EEG alpha activity reflects attentional demands, and beta activity reflects emotional and cognitive processes
    • Ray, W. & Cole, H. EEG alpha activity reflects attentional demands, and beta activity reflects emotional and cognitive processes. Science (80-.). 228 (1985).
    • (1985) Science (80-.) , vol.228
    • Ray, W.1    Cole, H.2
  • 37
    • 84876231242 scopus 로고    scopus 로고
    • ImageNet classification with deep ConvolutionalNeural networks
    • Krizhevsky, A., Sutskever, I. & Hinton, G. E. ImageNet Classification with Deep ConvolutionalNeural Networks. Adv. Neural Inf. Process. Syst. 1-9 https://doi.org/10.1016/j.protcy.2014.09.007 (2012).
    • (2012) Adv. Neural Inf. Process. Syst. , pp. 1-9
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 38
    • 33846953224 scopus 로고    scopus 로고
    • Cross-cultural assessment of neuropsychological performance and electrical brain function measures: Additional validation of an international brain database
    • Paul, R. H. et al. Cross-cultural assessment of neuropsychological performance and electrical brain function measures: Additional validation of an international brain database. Int. J. Neurosci. 117, 549-68 (2007).
    • (2007) Int. J. Neurosci. , vol.117 , pp. 549-568
    • Paul, R.H.1
  • 39
    • 31544468932 scopus 로고    scopus 로고
    • The test-retest reliability of a standardized neurocognitive and neurophysiological test battery: "neuromarker"
    • Williams, L. M. et al. The test-retest reliability of a standardized neurocognitive and neurophysiological test battery: "Neuromarker". Int. J. Neurosci. 115, 1605-30 (2005).
    • (2005) Int. J. Neurosci. , vol.115 , pp. 1605-1630
    • Williams, L.M.1
  • 41
    • 85042178321 scopus 로고    scopus 로고
    • Using convolutional neural networks to recognize rhythm stimuli from electroencephalography recordings
    • Stober, S. & Cameron, D. J. & Grahn, J. a. Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings. Neural Inf. Process. Syst. 2014, 1-9 (2014).
    • (2014) Neural Inf. Process. Syst. , vol.2014 , pp. 1-9
    • Stober, S.1    Cameron, D.J.2    Grahn, J.A.3
  • 42
    • 85007400475 scopus 로고    scopus 로고
    • Deep learning representation from electroencephalography of early-stage creutzfeldt-jakob disease and features for differentiation from rapidly progressive dementia
    • Morabito, F. C. et al. Deep Learning Representation from Electroencephalography of Early-Stage Creutzfeldt-Jakob Disease and Features for Differentiation from Rapidly Progressive Dementia. Int. J. Neural Syst. 27 (2017).
    • (2017) Int. J. Neural Syst. , vol.27
    • Morabito, F.C.1
  • 44
    • 79957967845 scopus 로고    scopus 로고
    • Modeling EEG waveforms with semi-supervised deep belief nets: Fast classification and anomaly measurement
    • Wulsin, D. F., Gupta, J. R., Mani, R., Blanco, J. A. & Litt, B. Modeling EEG Waveforms with Semi-Supervised Deep Belief Nets: Fast Classification and Anomaly Measurement. J Neural Eng 8, 1-28 (2011).
    • (2011) J Neural Eng , vol.8 , pp. 1-28
    • Wulsin, D.F.1    Gupta, J.R.2    Mani, R.3    Blanco, J.A.4    Litt, B.5
  • 45
    • 84973352731 scopus 로고    scopus 로고
    • Epileptiform spike detection via convolutional neural networks
    • Johansen, A. R. et al. Epileptiform spike detection via convolutional neural networks. IEEE ICASSP 754-758 (2016).
    • (2016) IEEE ICASSP , pp. 754-758
    • Johansen, A.R.1
  • 46
    • 84992144577 scopus 로고    scopus 로고
    • Personalized medicine: Review and perspectives of promising baseline EEG biomarkers in major depressive disorder and attention deficit hyperactivity disorder
    • Olbrich, S., Van Dinteren, R. & Arns, M. Personalized Medicine: Review and Perspectives of Promising Baseline EEG Biomarkers in Major Depressive Disorder and Attention Deficit Hyperactivity Disorder. Neuropsychobiology 72, 229-240 (2016).
    • (2016) Neuropsychobiology , vol.72 , pp. 229-240
    • Olbrich, S.1    Van Dinteren, R.2    Arns, M.3
  • 47
    • 78650770457 scopus 로고    scopus 로고
    • International Study to Predict Optimized Treatment for Depression (iSPOT-D), a randomized clinical trial: Rationale and protocol
    • Williams, L. M. et al. International Study to Predict Optimized Treatment for Depression (iSPOT-D), a randomized clinical trial: rationale and protocol. Trials 12, 4 (2011).
    • (2011) Trials , vol.12 , pp. 4
    • Williams, L.M.1
  • 49
    • 0042425970 scopus 로고    scopus 로고
    • European data format "plus" (EDF+), an EDF alike standard format for the exchange of physiological data
    • Kemp, B. & Olivan, J. European data format "plus" (EDF+), an EDF alike standard format for the exchange of physiological data. Clin Neurophysiol 114, 1755-1761 (2003).
    • (2003) Clin Neurophysiol , vol.114 , pp. 1755-1761
    • Kemp, B.1    Olivan, J.2
  • 50
    • 85034835585 scopus 로고    scopus 로고
    • A deep-dream virtual reality platform for studying altered perceptual phenomenology
    • Suzuki, K., Roseboom, W., Schwartzman, D. J. & Seth, A. K. A Deep-Dream Virtual Reality Platform for Studying Altered Perceptual Phenomenology. Sci. Rep. 7, 15982 (2017).
    • (2017) Sci. Rep. , vol.7 , pp. 15982
    • Suzuki, K.1    Roseboom, W.2    Schwartzman, D.J.3    Seth, A.K.4
  • 51
    • 85083951076 scopus 로고    scopus 로고
    • Adam: A method for stochastic optimization
    • Kingma, D. P. & Ba, J. L. Adam: a Method for Stochastic Optimization. Int. Conf. Learn. Represent. 2015 1-15 (2015).
    • (2015) Int. Conf. Learn. Represent. , vol.2015 , pp. 1-15
    • Kingma, D.P.1    Ba, J.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.