메뉴 건너뛰기




Volumn 20, Issue 3, 2017, Pages 365-377

Building better biomarkers: Brain models in translational neuroimaging

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER;

EID: 85013789441     PISSN: 10976256     EISSN: 15461726     Source Type: Journal    
DOI: 10.1038/nn.4478     Document Type: Review
Times cited : (719)

References (150)
  • 1
    • 84872573323 scopus 로고    scopus 로고
    • Introduction to the special section: 20 years of fMRI-what has it done for understanding cognition?
    • Mather, M., Cacioppo, J.T. & Kanwisher, N. Introduction to the special section: 20 years of fMRI-what has it done for understanding cognition?. Perspect. Psychol. Sci. 8, 41-43 (2013).
    • (2013) Perspect. Psychol. Sci. , vol.8 , pp. 41-43
    • Mather, M.1    Cacioppo, J.T.2    Kanwisher, N.3
  • 2
    • 84870064521 scopus 로고    scopus 로고
    • Why has it taken so long for biological psychiatry to develop clinical tests and what to do about it?
    • Kapur, S., Phillips, A.G. & Insel, T.R. Why has it taken so long for biological psychiatry to develop clinical tests and what to do about it?. Mol. Psychiatry 17, 1174-1179 (2012).
    • (2012) Mol. Psychiatry , vol.17 , pp. 1174-1179
    • Kapur, S.1    Phillips, A.G.2    Insel, T.R.3
  • 3
    • 0032944684 scopus 로고    scopus 로고
    • Reciprocal limbic-cortical function and negative mood: Converging PET findings in depression and normal sadness
    • Mayberg, H.S. et al. Reciprocal limbic-cortical function and negative mood: converging PET findings in depression and normal sadness. Am. J. Psychiatry 156, 675-682 (1999).
    • (1999) Am. J. Psychiatry , vol.156 , pp. 675-682
    • Mayberg, H.S.1
  • 5
    • 33846587385 scopus 로고    scopus 로고
    • The neural basis of loss aversion in decision-making under risk
    • Tom, S.M., Fox, C.R., Trepel, C. & Poldrack, R.A. The neural basis of loss aversion in decision-making under risk. Science 315, 515-518 (2007).
    • (2007) Science , vol.315 , pp. 515-518
    • Tom, S.M.1    Fox, C.R.2    Trepel, C.3    Poldrack, R.A.4
  • 6
    • 84953714910 scopus 로고    scopus 로고
    • A neuromarker of sustained attention from whole-brain functional connectivity
    • Rosenberg, M.D. et al. A neuromarker of sustained attention from whole-brain functional connectivity. Nat. Neurosci. 19, 165-171 (2016).
    • (2016) Nat. Neurosci. , vol.19 , pp. 165-171
    • Rosenberg, M.D.1
  • 7
    • 78649712310 scopus 로고    scopus 로고
    • Developing constructs for psychopathology research: Research domain criteria
    • Sanislow, C.A. et al. Developing constructs for psychopathology research: research domain criteria. J. Abnorm. Psychol. 119, 631-639 (2010).
    • (2010) J. Abnorm. Psychol. , vol.119 , pp. 631-639
    • Sanislow, C.A.1
  • 8
    • 0010529277 scopus 로고
    • Loss of recent memory after bilateral hippocampal lesions
    • Scoville, W.B. & Milner, B. Loss of recent memory after bilateral hippocampal lesions. J. Neurol. Neurosurg. Psychiatry 20, 11-21 (1957).
    • (1957) J. Neurol. Neurosurg. Psychiatry , vol.20 , pp. 11-21
    • Scoville, W.B.1    Milner, B.2
  • 10
    • 33749369721 scopus 로고    scopus 로고
    • Deep brain stimulation for chronic neuropathic pain: Long-term outcome and the incidence of insertional effect
    • Hamani, C. et al. Deep brain stimulation for chronic neuropathic pain: long-term outcome and the incidence of insertional effect. Pain 125, 188-196 (2006).
    • (2006) Pain , vol.125 , pp. 188-196
    • Hamani, C.1
  • 11
    • 79958167914 scopus 로고    scopus 로고
    • Basal ganglia dysfunction in OCD: Subthalamic neuronal activity correlates with symptoms severity and predicts high-frequency stimulation efficacy
    • Welter, M.L. et al. Basal ganglia dysfunction in OCD: subthalamic neuronal activity correlates with symptoms severity and predicts high-frequency stimulation efficacy. Transl. Psychiatry 1, e5 (2011).
    • (2011) Transl. Psychiatry , vol.1 , pp. e5
    • Welter, M.L.1
  • 12
    • 0242658923 scopus 로고    scopus 로고
    • Five-year follow-up of bilateral stimulation of the subthalamic nucleus in advanced Parkinson's disease
    • Krack, P. et al. Five-year follow-up of bilateral stimulation of the subthalamic nucleus in advanced Parkinson's disease. N. Engl. J. Med. 349, 1925-1934 (2003).
    • (2003) N. Engl. J. Med. , vol.349 , pp. 1925-1934
    • Krack, P.1
  • 13
    • 84922021698 scopus 로고    scopus 로고
    • A neural biomarker of psychological vulnerability to future life stress
    • Swartz, J.R., Knodt, A.R., Radtke, S.R. & Hariri, A.R. A neural biomarker of psychological vulnerability to future life stress. Neuron 85, 505-511 (2015).
    • (2015) Neuron , vol.85 , pp. 505-511
    • Swartz, J.R.1    Knodt, A.R.2    Radtke, S.R.3    Hariri, A.R.4
  • 14
    • 84937548452 scopus 로고    scopus 로고
    • A randomized sham-controlled trial of deep brain stimulation of the ventral capsule/ventral striatum for chronic treatment-resistant depression
    • Dougherty, D.D. et al. A randomized sham-controlled trial of deep brain stimulation of the ventral capsule/ventral striatum for chronic treatment-resistant depression. Biol. Psychiatry 78, 240-248 (2015).
    • (2015) Biol. Psychiatry , vol.78 , pp. 240-248
    • Dougherty, D.D.1
  • 15
    • 84905575488 scopus 로고    scopus 로고
    • Deep brain stimulation for treatment-resistant depression: Systematic review of clinical outcomes
    • Morishita, T., Fayad, S.M., Higuchi, M.A., Nestor, K.A. & Foote, K.D. Deep brain stimulation for treatment-resistant depression: systematic review of clinical outcomes. Neurotherapeutics 11, 475-484 (2014).
    • (2014) Neurotherapeutics , vol.11 , pp. 475-484
    • Morishita, T.1    Fayad, S.M.2    Higuchi, M.A.3    Nestor, K.A.4    Foote, K.D.5
  • 16
    • 85014649578 scopus 로고    scopus 로고
    • Effect size estimation in neuroimaging
    • Reddan, M.C., Lindquist, M.A. & Wager, T.D. Effect size estimation in neuroimaging. JAMA Psychiatry http://dx.doi.org/10.1001/jamapsychiatry.2016. 3356 (2017).
    • (2017) JAMA Psychiatry , pp. 3356
    • Reddan, M.C.1    Lindquist, M.A.2    Wager, T.D.3
  • 17
    • 43049104255 scopus 로고    scopus 로고
    • What we can do and what we cannot do with fMRI
    • Logothetis, N.K. What we can do and what we cannot do with fMRI. Nature 453, 869-878 (2008).
    • (2008) Nature , vol.453 , pp. 869-878
    • Logothetis, N.K.1
  • 18
    • 84879420137 scopus 로고    scopus 로고
    • Distinct behavioural and network correlates of two interneuron types in prefrontal cortex
    • Kvitsiani, D. et al. Distinct behavioural and network correlates of two interneuron types in prefrontal cortex. Nature 498, 363-366 (2013).
    • (2013) Nature , vol.498 , pp. 363-366
    • Kvitsiani, D.1
  • 19
    • 84855312099 scopus 로고    scopus 로고
    • Neural circuits underlying the pathophysiology of mood disorders
    • Price, J.L. & Drevets, W.C. Neural circuits underlying the pathophysiology of mood disorders. Trends Cogn. Sci. 16, 61-71 (2012).
    • (2012) Trends Cogn. Sci. , vol.16 , pp. 61-71
    • Price, J.L.1    Drevets, W.C.2
  • 20
    • 84857505615 scopus 로고    scopus 로고
    • Ventromedial prefrontal-subcortical systems and the generation of affective meaning
    • Roy, M., Shohamy, D. & Wager, T.D. Ventromedial prefrontal-subcortical systems and the generation of affective meaning. Trends Cogn. Sci. 16, 147-156 (2012).
    • (2012) Trends Cogn. Sci. , vol.16 , pp. 147-156
    • Roy, M.1    Shohamy, D.2    Wager, T.D.3
  • 21
    • 84970939239 scopus 로고    scopus 로고
    • Pain in the ACC?
    • Wager, T.D. et al. Pain in the ACC?. Proc. Natl. Acad. Sci. USA 113, E2474-E2475 (2016).
    • (2016) Proc. Natl. Acad. Sci. USA , vol.113 , pp. E2474-E2475
    • Wager, T.D.1
  • 22
    • 31744432037 scopus 로고    scopus 로고
    • Can cognitive processes be inferred from neuroimaging data?
    • Poldrack, R.A. Can cognitive processes be inferred from neuroimaging data?. Trends Cogn. Sci. 10, 59-63 (2006).
    • (2006) Trends Cogn. Sci. , vol.10 , pp. 59-63
    • Poldrack, R.A.1
  • 23
    • 84875936411 scopus 로고    scopus 로고
    • An fMRI-based neurologic signature of physical pain
    • Wager, T.D. et al. An fMRI-based neurologic signature of physical pain. N. Engl. J. Med. 368, 1388-1397 (2013).
    • (2013) N. Engl. J. Med. , vol.368 , pp. 1388-1397
    • Wager, T.D.1
  • 24
    • 84934756388 scopus 로고    scopus 로고
    • A sensitive and specific neural signature for picture-induced negative affect
    • Chang, L.J., Gianaros, P.J., Manuck, S.B., Krishnan, A. & Wager, T.D. A sensitive and specific neural signature for picture-induced negative affect. PLoS Biol. 13, e1002180 (2015).
    • (2015) PLoS Biol. , vol.13 , pp. e1002180
    • Chang, L.J.1    Gianaros, P.J.2    Manuck, S.B.3    Krishnan, A.4    Wager, T.D.5
  • 25
    • 84952699504 scopus 로고    scopus 로고
    • The role of machine learning in neuroimaging for drug discovery and development
    • Doyle, O.M., Mehta, M.A. & Brammer, M.J. The role of machine learning in neuroimaging for drug discovery and development. Psychopharmacology (Berl.) 232, 4179-4189 (2015).
    • (2015) Psychopharmacology (Berl.) , vol.232 , pp. 4179-4189
    • Doyle, O.M.1    Mehta, M.A.2    Brammer, M.J.3
  • 26
    • 84937390759 scopus 로고    scopus 로고
    • A primer on pattern-based approaches to fMRI: Principles, pitfalls, and perspectives
    • Haynes, J.D. A primer on pattern-based approaches to fMRI: principles, pitfalls, and perspectives. Neuron 87, 257-270 (2015).
    • (2015) Neuron , vol.87 , pp. 257-270
    • Haynes, J.D.1
  • 27
    • 84857000430 scopus 로고    scopus 로고
    • Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review
    • Orrù, G., Pettersson-Yeo, W., Marquand, A.F., Sartori, G. & Mechelli, A. Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review. Neurosci. Biobehav. Rev. 36, 1140-1152 (2012).
    • (2012) Neurosci. Biobehav. Rev. , vol.36 , pp. 1140-1152
    • Orrù, G.1    Pettersson-Yeo, W.2    Marquand, A.F.3    Sartori, G.4    Mechelli, A.5
  • 28
    • 84861633811 scopus 로고    scopus 로고
    • Multi-scale classification of disease using structural MRI and wavelet transform
    • Hackmack, K., Paul, F., Weygandt, M., Allefeld, C. & Haynes, J.D. Multi-scale classification of disease using structural MRI and wavelet transform. Neuroimage 62, 48-58 (2012).
    • (2012) Neuroimage , vol.62 , pp. 48-58
    • Hackmack, K.1    Paul, F.2    Weygandt, M.3    Allefeld, C.4    Haynes, J.D.5
  • 29
    • 57049118473 scopus 로고    scopus 로고
    • Visual image reconstruction from human brain activity using a combination of multiscale local image decoders
    • Miyawaki, Y. et al. Visual image reconstruction from human brain activity using a combination of multiscale local image decoders. Neuron 60, 915-929 (2008).
    • (2008) Neuron , vol.60 , pp. 915-929
    • Miyawaki, Y.1
  • 30
    • 17844380475 scopus 로고    scopus 로고
    • Decoding the visual and subjective contents of the human brain
    • Kamitani, Y. & Tong, F. Decoding the visual and subjective contents of the human brain. Nat. Neurosci. 8, 679-685 (2005).
    • (2005) Nat. Neurosci. , vol.8 , pp. 679-685
    • Kamitani, Y.1    Tong, F.2
  • 31
    • 71849089178 scopus 로고    scopus 로고
    • How does an fMRI voxel sample the neuronal activity pattern: Compact-kernel or complex spatiotemporal filter?
    • Kriegeskorte, N., Cusack, R. & Bandettini, P. How does an fMRI voxel sample the neuronal activity pattern: compact-kernel or complex spatiotemporal filter?. Neuroimage 49, 1965-1976 (2010).
    • (2010) Neuroimage , vol.49 , pp. 1965-1976
    • Kriegeskorte, N.1    Cusack, R.2    Bandettini, P.3
  • 32
    • 84908520795 scopus 로고    scopus 로고
    • Making big data open: Data sharing in neuroimaging
    • Poldrack, R.A. & Gorgolewski, K.J. Making big data open: data sharing in neuroimaging. Nat. Neurosci. 17, 1510-1517 (2014).
    • (2014) Nat. Neurosci. , vol.17 , pp. 1510-1517
    • Poldrack, R.A.1    Gorgolewski, K.J.2
  • 33
    • 84992418489 scopus 로고    scopus 로고
    • The search for imaging biomarkers in psychiatric disorders
    • Abi-Dargham, A. & Horga, G. The search for imaging biomarkers in psychiatric disorders. Nat. Med. 22, 1248-1255 (2016).
    • (2016) Nat. Med. , vol.22 , pp. 1248-1255
    • Abi-Dargham, A.1    Horga, G.2
  • 36
    • 0020758778 scopus 로고
    • Positron emission tomographic studies of aging and Alzheimer disease
    • de Leon, M.J. et al. Positron emission tomographic studies of aging and Alzheimer disease. AJNR Am. J. Neuroradiol. 4, 568-571 (1983).
    • (1983) AJNR Am. J. Neuroradiol. , vol.4 , pp. 568-571
    • De Leon, M.J.1
  • 37
    • 0026680856 scopus 로고
    • Evaluation of a neural-network classifier for PET scans of normal and Alzheimer's disease subjects
    • Kippenhan, J.S., Barker, W.W., Pascal, S., Nagel, J. & Duara, R. Evaluation of a neural-network classifier for PET scans of normal and Alzheimer's disease subjects. J. Nucl. Med. 33, 1459-1467 (1992).
    • (1992) J. Nucl. Med. , vol.33 , pp. 1459-1467
    • Kippenhan, J.S.1    Barker, W.W.2    Pascal, S.3    Nagel, J.4    Duara, R.5
  • 38
    • 84927604438 scopus 로고    scopus 로고
    • Predicting progression of Alzheimer's disease using ordinal regression
    • Doyle, O.M. et al. Predicting progression of Alzheimer's disease using ordinal regression. PLoS One 9, e105542 (2014).
    • (2014) PLoS One , vol.9 , pp. e105542
    • Doyle, O.M.1
  • 39
    • 84941139257 scopus 로고    scopus 로고
    • Unsupervised learning based feature extraction for differential diagnosis of neurodegenerative diseases: A case study on early-stage diagnosis of Parkinson disease
    • Singh, G. & Samavedham, L. Unsupervised learning based feature extraction for differential diagnosis of neurodegenerative diseases: A case study on early-stage diagnosis of Parkinson disease. J. Neurosci. Methods 256, 30-40 (2015).
    • (2015) J. Neurosci. Methods , vol.256 , pp. 30-40
    • Singh, G.1    Samavedham, L.2
  • 40
    • 67650457029 scopus 로고    scopus 로고
    • Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition
    • Koutsouleris, N. et al. Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition. Arch. Gen. Psychiatry 66, 700-712 (2009).
    • (2009) Arch. Gen. Psychiatry , vol.66 , pp. 700-712
    • Koutsouleris, N.1
  • 41
    • 84958292005 scopus 로고    scopus 로고
    • Early detection of Alzheimer's disease using MRI hippocampal texture
    • Sørensen, L. et al. Early detection of Alzheimer's disease using MRI hippocampal texture. Hum. Brain Mapp. 37, 1148-1161 (2016).
    • (2016) Hum. Brain Mapp. , vol.37 , pp. 1148-1161
    • Sørensen, L.1
  • 42
    • 84925058025 scopus 로고    scopus 로고
    • Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects
    • Moradi, E., Pepe, A., Gaser, C., Huttunen, H. & Tohka, J. Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects. Neuroimage 104, 398-412 (2015).
    • (2015) Neuroimage , vol.104 , pp. 398-412
    • Moradi, E.1    Pepe, A.2    Gaser, C.3    Huttunen, H.4    Tohka, J.5
  • 43
    • 84888403690 scopus 로고    scopus 로고
    • Prevention of depression in at-risk adolescents: Longer-term effects
    • Beardslee, W.R. et al. Prevention of depression in at-risk adolescents: longer-term effects. JAMA Psychiatry 70, 1161-1170 (2013).
    • (2013) JAMA Psychiatry , vol.70 , pp. 1161-1170
    • Beardslee, W.R.1
  • 44
    • 84861495870 scopus 로고    scopus 로고
    • Prediction and prevention of psychosis in youth at clinical high risk
    • Addington, J. & Heinssen, R. Prediction and prevention of psychosis in youth at clinical high risk. Annu. Rev. Clin. Psychol. 8, 269-289 (2012).
    • (2012) Annu. Rev. Clin. Psychol. , vol.8 , pp. 269-289
    • Addington, J.1    Heinssen, R.2
  • 45
    • 67749130881 scopus 로고    scopus 로고
    • Longitudinal progression of Alzheimer's-like patterns of atrophy in normal older adults: The SPARE-AD index
    • Davatzikos, C., Xu, F., An, Y., Fan, Y. & Resnick, S.M. Longitudinal progression of Alzheimer's-like patterns of atrophy in normal older adults: the SPARE-AD index. Brain 132, 2026-2035 (2009).
    • (2009) Brain , vol.132 , pp. 2026-2035
    • Davatzikos, C.1    Xu, F.2    An, Y.3    Fan, Y.4    Resnick, S.M.5
  • 46
    • 38749113910 scopus 로고    scopus 로고
    • Alzheimer's Disease Neuroimaging Initiative\par Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline
    • Fan, Y., Batmanghelich, N., Clark, C.M., Davatzikos, C. & Alzheimer's Disease Neuroimaging Initiative\par Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline. Neuroimage 39, 1731-1743 (2008).
    • (2008) Neuroimage , vol.39 , pp. 1731-1743
    • Fan, Y.1    Batmanghelich, N.2    Clark, C.M.3    Davatzikos, C.4
  • 47
    • 58149386194 scopus 로고    scopus 로고
    • Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI
    • Misra, C., Fan, Y. & Davatzikos, C. Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: results from ADNI. Neuroimage 44, 1415-1422 (2009).
    • (2009) Neuroimage , vol.44 , pp. 1415-1422
    • Misra, C.1    Fan, Y.2    Davatzikos, C.3
  • 48
    • 76249130565 scopus 로고    scopus 로고
    • Differential diagnosis of Parkinsonism: A metabolic imaging study using pattern analysis
    • Tang, C.C. et al. Differential diagnosis of Parkinsonism: a metabolic imaging study using pattern analysis. Lancet Neurol. 9, 149-158 (2010).
    • (2010) Lancet Neurol. , vol.9 , pp. 149-158
    • Tang, C.C.1
  • 49
    • 84890570180 scopus 로고    scopus 로고
    • Reduced anterior temporal and hippocampal functional connectivity during face processing discriminates individuals with social anxiety disorder from healthy controls and panic disorder, and increases following treatment
    • Pantazatos, S.P., Talati, A., Schneier, F.R. & Hirsch, J. Reduced anterior temporal and hippocampal functional connectivity during face processing discriminates individuals with social anxiety disorder from healthy controls and panic disorder, and increases following treatment. Neuropsychopharmacology 39, 425-434 (2014).
    • (2014) Neuropsychopharmacology , vol.39 , pp. 425-434
    • Pantazatos, S.P.1    Talati, A.2    Schneier, F.R.3    Hirsch, J.4
  • 50
    • 84920536296 scopus 로고    scopus 로고
    • Characterizing thalamo-cortical disturbances in schizophrenia and bipolar illness
    • Anticevic, A. et al. Characterizing thalamo-cortical disturbances in schizophrenia and bipolar illness. Cereb. Cortex 24, 3116-3130 (2014).
    • (2014) Cereb. Cortex , vol.24 , pp. 3116-3130
    • Anticevic, A.1
  • 51
    • 55549121271 scopus 로고    scopus 로고
    • Temporal lobe and "default" hemodynamic brain modes discriminate between schizophrenia and bipolar disorder
    • Calhoun, V.D., Maciejewski, P.K., Pearlson, G.D. & Kiehl, K.A. Temporal lobe and "default" hemodynamic brain modes discriminate between schizophrenia and bipolar disorder. Hum. Brain Mapp. 29, 1265-1275 (2008).
    • (2008) Hum. Brain Mapp. , vol.29 , pp. 1265-1275
    • Calhoun, V.D.1    Maciejewski, P.K.2    Pearlson, G.D.3    Kiehl, K.A.4
  • 53
    • 84962355574 scopus 로고    scopus 로고
    • Identification of distinct psychosis biotypes using brain-based biomarkers
    • Clementz, B.A. et al. Identification of distinct psychosis biotypes using brain-based biomarkers. Am. J. Psychiatry 173, 373-384 (2016).
    • (2016) Am. J. Psychiatry , vol.173 , pp. 373-384
    • Clementz, B.A.1
  • 54
    • 85013767290 scopus 로고    scopus 로고
    • Parsing heterogeneity in the brain connectivity of depressed and healthy adults during positive mood
    • S0006-3223(16)32540-9
    • Price, R.B. et al. Parsing heterogeneity in the brain connectivity of depressed and healthy adults during positive mood. Biol. Psychiatry S0006-3223(16)32540-9 (2016).
    • (2016) Biol. Psychiatry
    • Price, R.B.1
  • 55
    • 85002131245 scopus 로고    scopus 로고
    • Resting-state connectivity biomarkers define neurophysiological subtypes of depression
    • Drysdale, A.T. et al. Resting-state connectivity biomarkers define neurophysiological subtypes of depression. Nat. Med. (2016).
    • (2016) Nat. Med.
    • Drysdale, A.T.1
  • 56
    • 84884994218 scopus 로고    scopus 로고
    • The Cancer Genome Atlas Pan-Cancer analysis project
    • Weinstein, J.N. et al. The Cancer Genome Atlas Pan-Cancer analysis project. Nat. Genet. 45, 1113-1120 (2013).
    • (2013) Nat. Genet. , vol.45 , pp. 1113-1120
    • Weinstein, J.N.1
  • 58
    • 84920816477 scopus 로고    scopus 로고
    • Predicting treatment response to cognitive behavioral therapy in panic disorder with agoraphobia by integrating local neural information
    • Hahn, T. et al. Predicting treatment response to cognitive behavioral therapy in panic disorder with agoraphobia by integrating local neural information. JAMA Psychiatry 72, 68-74 (2015).
    • (2015) JAMA Psychiatry , vol.72 , pp. 68-74
    • Hahn, T.1
  • 59
    • 84871948952 scopus 로고    scopus 로고
    • Predicting treatment response in social anxiety disorder from functional magnetic resonance imaging
    • Doehrmann, O. et al. Predicting treatment response in social anxiety disorder from functional magnetic resonance imaging. JAMA Psychiatry 70, 87-97 (2013).
    • (2013) JAMA Psychiatry , vol.70 , pp. 87-97
    • Doehrmann, O.1
  • 60
    • 84938820272 scopus 로고    scopus 로고
    • Brain connectomics predict response to treatment in social anxiety disorder
    • Whitfield-Gabrieli, S. et al. Brain connectomics predict response to treatment in social anxiety disorder. Mol. Psychiatry 21, 680-685 (2016).
    • (2016) Mol. Psychiatry , vol.21 , pp. 680-685
    • Whitfield-Gabrieli, S.1
  • 61
    • 84929129683 scopus 로고    scopus 로고
    • A functional MRI marker may predict the outcome of electroconvulsive therapy in severe and treatment-resistant depression
    • van Waarde, J.A. et al. A functional MRI marker may predict the outcome of electroconvulsive therapy in severe and treatment-resistant depression. Mol. Psychiatry 20, 609-614 (2015).
    • (2015) Mol. Psychiatry , vol.20 , pp. 609-614
    • Van Waarde, J.A.1
  • 62
    • 84887995143 scopus 로고    scopus 로고
    • Baseline and treatment-emergent EEG biomarkers of antidepressant medication response do not predict response to repetitive transcranial magnetic stimulation
    • Widge, A.S., Avery, D.H. & Zarkowski, P. Baseline and treatment-emergent EEG biomarkers of antidepressant medication response do not predict response to repetitive transcranial magnetic stimulation. Brain Stimul. 6, 929-931 (2013).
    • (2013) Brain Stimul. , vol.6 , pp. 929-931
    • Widge, A.S.1    Avery, D.H.2    Zarkowski, P.3
  • 63
    • 84954306689 scopus 로고    scopus 로고
    • Baseline striatal functional connectivity as a predictor of response to antipsychotic drug treatment
    • Sarpal, D.K. et al. Baseline striatal functional connectivity as a predictor of response to antipsychotic drug treatment. Am. J. Psychiatry 173, 69-77 (2016).
    • (2016) Am. J. Psychiatry , vol.173 , pp. 69-77
    • Sarpal, D.K.1
  • 64
    • 84958161368 scopus 로고    scopus 로고
    • Predicting beneficial effects of atomoxetine and citalopram on response inhibition in Parkinson's disease with clinical and neuroimaging measures
    • Ye, Z. et al. Predicting beneficial effects of atomoxetine and citalopram on response inhibition in Parkinson's disease with clinical and neuroimaging measures. Hum. Brain Mapp. 37, 1026-1037 (2016).
    • (2016) Hum. Brain Mapp. , vol.37 , pp. 1026-1037
    • Ye, Z.1
  • 65
    • 84945254843 scopus 로고    scopus 로고
    • Neuroimaging-based biomarker discovery and validation
    • Woo, C.W. & Wager, T.D. Neuroimaging-based biomarker discovery and validation. Pain 156, 1379-1381 (2015).
    • (2015) Pain , vol.156 , pp. 1379-1381
    • Woo, C.W.1    Wager, T.D.2
  • 66
    • 84970998190 scopus 로고    scopus 로고
    • The effect of base rate on the predictive value of brain biomarkers
    • Robinson, M., Boissoneault, J., Sevel, L., Letzen, J. & Staud, R. The effect of base rate on the predictive value of brain biomarkers. J. Pain 17, 637-641 (2016).
    • (2016) J. Pain , vol.17 , pp. 637-641
    • Robinson, M.1    Boissoneault, J.2    Sevel, L.3    Letzen, J.4    Staud, R.5
  • 67
    • 58149438731 scopus 로고
    • Construct validity in psychological tests
    • Cronbach, L.J. & Meehl, P.E. Construct validity in psychological tests. Psychol. Bull. 52, 281-302 (1955).
    • (1955) Psychol. Bull. , vol.52 , pp. 281-302
    • Cronbach, L.J.1    Meehl, P.E.2
  • 68
    • 84872078739 scopus 로고    scopus 로고
    • The initial field trials of DSM-5: New blooms and old thorns
    • Freedman, R. et al. The initial field trials of DSM-5: new blooms and old thorns. Am. J. Psychiatry 170, 1-5 (2013).
    • (2013) Am. J. Psychiatry , vol.170 , pp. 1-5
    • Freedman, R.1
  • 69
    • 84907652029 scopus 로고    scopus 로고
    • Resting state functional magnetic resonance imaging and neural network classified autism and control
    • Iidaka, T. Resting state functional magnetic resonance imaging and neural network classified autism and control. Cortex 63, 55-67 (2015).
    • (2015) Cortex , vol.63 , pp. 55-67
    • Iidaka, T.1
  • 70
    • 84862679346 scopus 로고    scopus 로고
    • A stable pattern of EEG spectral coherence distinguishes children with autism from neuro-typical controls-A large case control study
    • Duffy, F.H. & Als, H. A stable pattern of EEG spectral coherence distinguishes children with autism from neuro-typical controls-A large case control study. BMC Med. 10, 64 (2012).
    • (2012) BMC Med. , vol.10 , pp. 64
    • Duffy, F.H.1    Als, H.2
  • 71
    • 84960086387 scopus 로고    scopus 로고
    • Fully connected cascade artificial neural network architecture for attention deficit hyperactivity disorder classification from functional magnetic resonance imaging data
    • Deshpande, G., Wang, P., Rangaprakash, D. & Wilamowski, B. Fully connected cascade artificial neural network architecture for attention deficit hyperactivity disorder classification from functional magnetic resonance imaging data. IEEE Trans. Cybern. 45, 2668-2679 (2015).
    • (2015) IEEE Trans. Cybern. , vol.45 , pp. 2668-2679
    • Deshpande, G.1    Wang, P.2    Rangaprakash, D.3    Wilamowski, B.4
  • 72
    • 84898857098 scopus 로고    scopus 로고
    • When optimism hurts: Inflated predictions in psychiatric neuroimaging
    • Whelan, R. & Garavan, H. When optimism hurts: inflated predictions in psychiatric neuroimaging. Biol. Psychiatry 75, 746-748 (2014).
    • (2014) Biol. Psychiatry , vol.75 , pp. 746-748
    • Whelan, R.1    Garavan, H.2
  • 73
    • 84961205778 scopus 로고    scopus 로고
    • The anatomy of suffering: Understanding the relationship between nociceptive and empathic pain
    • Zaki, J., Wager, T.D., Singer, T., Keysers, C. & Gazzola, V. The anatomy of suffering: understanding the relationship between nociceptive and empathic pain. Trends Cogn. Sci. 20, 249-259 (2016).
    • (2016) Trends Cogn. Sci. , vol.20 , pp. 249-259
    • Zaki, J.1    Wager, T.D.2    Singer, T.3    Keysers, C.4    Gazzola, V.5
  • 75
    • 84984985889 scopus 로고    scopus 로고
    • "Why should i trust you?": Explaining the predictions of any classifier
    • Ribeiro, M.T., Singh, S. & Guestrin, C. "Why should I trust you?": Explaining the predictions of any classifier. Preprint at arXiv https://arxiv.org/abs/1602.04938 (2016).
    • (2016) Preprint at ArXiv
    • Ribeiro, M.T.1    Singh, S.2    Guestrin, C.3
  • 76
    • 84872254483 scopus 로고    scopus 로고
    • The ADHD-200 Consortium: A model to advance the translational potential of neuroimaging in clinical neuroscience
    • HD-200 Consortium
    • HD-200 Consortium. The ADHD-200 Consortium: a model to advance the translational potential of neuroimaging in clinical neuroscience. Front. Syst. Neurosci. 6, 62 (2012).
    • (2012) Front. Syst. Neurosci. , vol.6 , pp. 62
  • 77
    • 84864968008 scopus 로고    scopus 로고
    • Automated diagnoses of attention deficit hyperactive disorder using magnetic resonance imaging
    • Eloyan, A. et al. Automated diagnoses of attention deficit hyperactive disorder using magnetic resonance imaging. Front. Syst. Neurosci. 6, 61 (2012).
    • (2012) Front. Syst. Neurosci. , vol.6 , pp. 61
    • Eloyan, A.1
  • 78
    • 84952876919 scopus 로고    scopus 로고
    • Robust features for the automatic identification of autism spectrum disorder in children
    • Eldridge, J., Lane, A.E., Belkin, M. & Dennis, S. Robust features for the automatic identification of autism spectrum disorder in children. J. Neurodev. Disord. 6, 12 (2014).
    • (2014) J. Neurodev. Disord. , vol.6 , pp. 12
    • Eldridge, J.1    Lane, A.E.2    Belkin, M.3    Dennis, S.4
  • 79
    • 84869098364 scopus 로고    scopus 로고
    • Measurement and clinical effect of grey matter pathology in multiple sclerosis
    • Geurts, J.J., Calabrese, M., Fisher, E. & Rudick, R.A. Measurement and clinical effect of grey matter pathology in multiple sclerosis. Lancet Neurol. 11, 1082-1092 (2012).
    • (2012) Lancet Neurol. , vol.11 , pp. 1082-1092
    • Geurts, J.J.1    Calabrese, M.2    Fisher, E.3    Rudick, R.A.4
  • 80
    • 84881169556 scopus 로고    scopus 로고
    • Abnormal rich club organization and functional brain dynamics in schizophrenia
    • van den Heuvel, M.P. et al. Abnormal rich club organization and functional brain dynamics in schizophrenia. JAMA Psychiatry 70, 783-792 (2013).
    • (2013) JAMA Psychiatry , vol.70 , pp. 783-792
    • Van Den Heuvel, M.P.1
  • 81
    • 84964221788 scopus 로고    scopus 로고
    • A small number of abnormal brain connections predicts adult autism spectrum disorder
    • Yahata, N. et al. A small number of abnormal brain connections predicts adult autism spectrum disorder. Nat. Commun. 7, 11254 (2016).
    • (2016) Nat. Commun. , vol.7 , pp. 11254
    • Yahata, N.1
  • 82
    • 84964849126 scopus 로고    scopus 로고
    • Natural speech reveals the semantic maps that tile human cerebral cortex
    • Huth, A.G., de Heer, W.A., Griffiths, T.L., Theunissen, F.E. & Gallant, J.L. Natural speech reveals the semantic maps that tile human cerebral cortex. Nature 532, 453-458 (2016).
    • (2016) Nature , vol.532 , pp. 453-458
    • Huth, A.G.1    De Heer, W.A.2    Griffiths, T.L.3    Theunissen, F.E.4    Gallant, J.L.5
  • 83
    • 47949121047 scopus 로고    scopus 로고
    • Antemortem MRI based STructural Abnormality iNDex (STAND)-scores correlate with postmortem Braak neurofibrillary tangle stage
    • Vemuri, P. et al. Antemortem MRI based STructural Abnormality iNDex (STAND)-scores correlate with postmortem Braak neurofibrillary tangle stage. Neuroimage 42, 559-567 (2008).
    • (2008) Neuroimage , vol.42 , pp. 559-567
    • Vemuri, P.1
  • 85
    • 80052566098 scopus 로고    scopus 로고
    • The organization of the human cerebral cortex estimated by intrinsic functional connectivity
    • Yeo, B.T. et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J. Neurophysiol. 106, 1125-1165 (2011).
    • (2011) J. Neurophysiol. , vol.106 , pp. 1125-1165
    • Yeo, B.T.1
  • 86
    • 84982084487 scopus 로고    scopus 로고
    • A multi-modal parcellation of human cerebral cortex
    • Glasser, M.F. et al. A multi-modal parcellation of human cerebral cortex. Nature 536, 171-178 (2016).
    • (2016) Nature , vol.536 , pp. 171-178
    • Glasser, M.F.1
  • 88
    • 84880329159 scopus 로고    scopus 로고
    • The history of CoCoMac
    • Stephan, K.E. The history of CoCoMac. Neuroimage 80, 46-52 (2013).
    • (2013) Neuroimage , vol.80 , pp. 46-52
    • Stephan, K.E.1
  • 89
    • 84914816317 scopus 로고    scopus 로고
    • Recent progress and outstanding issues in motion correction in resting state fMRI
    • Power, J.D., Schlaggar, B.L. & Petersen, S.E. Recent progress and outstanding issues in motion correction in resting state fMRI. Neuroimage 105, 536-551 (2015).
    • (2015) Neuroimage , vol.105 , pp. 536-551
    • Power, J.D.1    Schlaggar, B.L.2    Petersen, S.E.3
  • 90
    • 84982851880 scopus 로고    scopus 로고
    • A practical guide for improving transparency and reproducibility in neuroimaging research
    • Gorgolewski, K.J. & Poldrack, R.A. A practical guide for improving transparency and reproducibility in neuroimaging research. PLoS Biol. 14, e1002506 (2016).
    • (2016) PLoS Biol. , vol.14 , pp. e1002506
    • Gorgolewski, K.J.1    Poldrack, R.A.2
  • 91
    • 80053654021 scopus 로고    scopus 로고
    • Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification
    • Davatzikos, C., Bhatt, P., Shaw, L.M., Batmanghelich, K.N. & Trojanowski, J.Q. Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification. Neurobiol. Aging 32, 2322.e19-2322.e27 (2011).
    • (2011) Neurobiol. Aging , vol.32 , pp. 2322e19-2322e27
    • Davatzikos, C.1    Bhatt, P.2    Shaw, L.M.3    Batmanghelich, K.N.4    Trojanowski, J.Q.5
  • 92
    • 84856704601 scopus 로고    scopus 로고
    • Alzheimer's disease pattern of brain atrophy predicts cognitive decline in Parkinson's disease
    • Weintraub, D. et al. Alzheimer's disease pattern of brain atrophy predicts cognitive decline in Parkinson's disease. Brain 135, 170-180 (2012).
    • (2012) Brain , vol.135 , pp. 170-180
    • Weintraub, D.1
  • 93
    • 84942744439 scopus 로고    scopus 로고
    • Memory, executive, and multidomain subtle cognitive impairment: Clinical and biomarker findings
    • Toledo, J.B. et al. Memory, executive, and multidomain subtle cognitive impairment: clinical and biomarker findings. Neurology 85, 144-153 (2015).
    • (2015) Neurology , vol.85 , pp. 144-153
    • Toledo, J.B.1
  • 94
    • 84964413922 scopus 로고    scopus 로고
    • White matter hyperintensities and imaging patterns of brain ageing in the general population
    • Habes, M. et al. White matter hyperintensities and imaging patterns of brain ageing in the general population. Brain 139, 1164-1179 (2016).
    • (2016) Brain , vol.139 , pp. 1164-1179
    • Habes, M.1
  • 95
    • 33749468221 scopus 로고    scopus 로고
    • Network modulation in the treatment of Parkinson's disease
    • Asanuma, K. et al. Network modulation in the treatment of Parkinson's disease. Brain 129, 2667-2678 (2006).
    • (2006) Brain , vol.129 , pp. 2667-2678
    • Asanuma, K.1
  • 96
    • 70349263481 scopus 로고    scopus 로고
    • Metabolic brain networks in neurodegenerative disorders: A functional imaging approach
    • Eidelberg, D. Metabolic brain networks in neurodegenerative disorders: a functional imaging approach. Trends Neurosci. 32, 548-557 (2009).
    • (2009) Trends Neurosci. , vol.32 , pp. 548-557
    • Eidelberg, D.1
  • 97
    • 84891516113 scopus 로고    scopus 로고
    • Metabolic brain network in the Chinese patients with Parkinson's disease based on 18F-FDG PET imaging
    • Wu, P. et al. Metabolic brain network in the Chinese patients with Parkinson's disease based on 18F-FDG PET imaging. Parkinsonism Relat. Disord. 19, 622-627 (2013).
    • (2013) Parkinsonism Relat. Disord. , vol.19 , pp. 622-627
    • Wu, P.1
  • 98
    • 84876143207 scopus 로고    scopus 로고
    • Validation of parkinsonian disease-related metabolic brain patterns
    • Teune, L.K. et al. Validation of parkinsonian disease-related metabolic brain patterns. Mov. Disord. 28, 547-551 (2013).
    • (2013) Mov. Disord. , vol.28 , pp. 547-551
    • Teune, L.K.1
  • 99
    • 84930336007 scopus 로고    scopus 로고
    • Replicating studies in which samples of participants respond to samples of stimuli
    • Westfall, J., Judd, C.M. & Kenny, D.A. Replicating studies in which samples of participants respond to samples of stimuli. Perspect. Psychol. Sci. 10, 390-399 (2015).
    • (2015) Perspect. Psychol. Sci. , vol.10 , pp. 390-399
    • Westfall, J.1    Judd, C.M.2    Kenny, D.A.3
  • 100
    • 84883329129 scopus 로고    scopus 로고
    • Shape shifting pain: Chronification of back pain shifts brain representation from nociceptive to emotional circuits
    • Hashmi, J.A. et al. Shape shifting pain: chronification of back pain shifts brain representation from nociceptive to emotional circuits. Brain 136, 2751-2768 (2013).
    • (2013) Brain , vol.136 , pp. 2751-2768
    • Hashmi, J.A.1
  • 101
    • 84878253707 scopus 로고    scopus 로고
    • Imaging in population science: Cardiovascular magnetic resonance in 100,000 participants of UK Biobank-rationale, challenges and approaches
    • Petersen, S.E. et al. Imaging in population science: cardiovascular magnetic resonance in 100,000 participants of UK Biobank-rationale, challenges and approaches. J. Cardiovasc. Magn. Reson. 15, 46 (2013).
    • (2013) J. Cardiovasc. Magn. Reson. , vol.15 , pp. 46
    • Petersen, S.E.1
  • 102
    • 84937573808 scopus 로고    scopus 로고
    • Impact of the Alzheimer's disease neuroimaging initiative, 2004 to 2014
    • Weiner, M.W. et al. Impact of the Alzheimer's Disease Neuroimaging Initiative, 2004 to 2014. Alzheimers Dement. 11, 865-884 (2015).
    • (2015) Alzheimers Dement. , vol.11 , pp. 865-884
    • Weiner, M.W.1
  • 103
    • 84899812494 scopus 로고    scopus 로고
    • Decoding wakefulness levels from typical fMRI resting-state data reveals reliable drifts between wakefulness and sleep
    • Tagliazucchi, E. & Laufs, H. Decoding wakefulness levels from typical fMRI resting-state data reveals reliable drifts between wakefulness and sleep. Neuron 82, 695-708 (2014).
    • (2014) Neuron , vol.82 , pp. 695-708
    • Tagliazucchi, E.1    Laufs, H.2
  • 104
    • 84879628020 scopus 로고    scopus 로고
    • Opportunities and limitations of intrinsic functional connectivity MRI
    • Buckner, R.L., Krienen, F.M. & Yeo, B.T.T. Opportunities and limitations of intrinsic functional connectivity MRI. Nat. Neurosci. 16, 832-837 (2013).
    • (2013) Nat. Neurosci. , vol.16 , pp. 832-837
    • Buckner, R.L.1    Krienen, F.M.2    Yeo, B.T.T.3
  • 105
    • 84862746876 scopus 로고    scopus 로고
    • Function biomedical informatics research network recommendations for prospective multicenter functional MRI studies
    • Glover, G.H. et al. Function biomedical informatics research network recommendations for prospective multicenter functional MRI studies. J. Magn. Reson. Imaging 36, 39-54 (2012).
    • (2012) J. Magn. Reson. Imaging , vol.36 , pp. 39-54
    • Glover, G.H.1
  • 106
    • 84906538764 scopus 로고    scopus 로고
    • The MAPP research network: Design, patient characterization and operations
    • Landis, J.R. et al. The MAPP research network: design, patient characterization and operations. BMC Urol. 14, 58 (2014).
    • (2014) BMC Urol. , vol.14 , pp. 58
    • Landis, J.R.1
  • 107
    • 84899930958 scopus 로고    scopus 로고
    • The ENIGMA Consortium: Large-scale collaborative analyses of neuroimaging and genetic data
    • Thompson, P.M. et al. The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data. Brain Imaging Behav. 8, 153-182 (2014).
    • (2014) Brain Imaging Behav. , vol.8 , pp. 153-182
    • Thompson, P.M.1
  • 108
    • 79960149270 scopus 로고    scopus 로고
    • Biomarkers for chronic pain and analgesia Part. 1: The need, reality, challenges, and solutions
    • Borsook, D., Becerra, L. & Hargreaves, R. Biomarkers for chronic pain and analgesia. Part 1: the need, reality, challenges, and solutions. Discov. Med. 11, 197-207 (2011).
    • (2011) Discov. Med. , vol.11 , pp. 197-207
    • Borsook, D.1    Becerra, L.2    Hargreaves, R.3
  • 109
    • 84940561590 scopus 로고    scopus 로고
    • Optimizing central nervous system drug development using molecular imaging
    • Hargreaves, R.J. et al. Optimizing central nervous system drug development using molecular imaging. Clin. Pharmacol. Ther. 98, 47-60 (2015).
    • (2015) Clin. Pharmacol. Ther. , vol.98 , pp. 47-60
    • Hargreaves, R.J.1
  • 110
    • 85013809744 scopus 로고    scopus 로고
    • Towards a neurophysiological signature for fibromyalgia
    • López-Solà, M. et al. Towards a neurophysiological signature for fibromyalgia. Pain (2016).
    • (2016) Pain
    • López-Solà, M.1
  • 111
    • 84929287572 scopus 로고    scopus 로고
    • Different functional neural substrates for good and poor language outcome in autism
    • Lombardo, M.V. et al. Different functional neural substrates for good and poor language outcome in autism. Neuron 86, 567-577 (2015).
    • (2015) Neuron , vol.86 , pp. 567-577
    • Lombardo, M.V.1
  • 112
    • 0034625770 scopus 로고    scopus 로고
    • Neuronal plasticity: Increasing the gain in pain
    • Woolf, C.J. & Salter, M.W. Neuronal plasticity: increasing the gain in pain. Science 288, 1765-1769 (2000).
    • (2000) Science , vol.288 , pp. 1765-1769
    • Woolf, C.J.1    Salter, M.W.2
  • 114
    • 0027366432 scopus 로고
    • Pain perception threshold in major depression
    • Adler, G. & Gattaz, W.F. Pain perception threshold in major depression. Biol. Psychiatry 34, 687-689 (1993).
    • (1993) Biol. Psychiatry , vol.34 , pp. 687-689
    • Adler, G.1    Gattaz, W.F.2
  • 115
    • 84975307971 scopus 로고    scopus 로고
    • Somatic and vicarious pain are represented by dissociable multivariate brain patterns
    • Krishnan, A. et al. Somatic and vicarious pain are represented by dissociable multivariate brain patterns. eLife 5, e15166 (2016).
    • (2016) ELife , vol.5 , pp. e15166
    • Krishnan, A.1
  • 116
    • 84922212464 scopus 로고    scopus 로고
    • Distinct brain systems mediate the effects of nociceptive input and self-regulation on pain
    • Woo, C.W., Roy, M., Buhle, J.T. & Wager, T.D. Distinct brain systems mediate the effects of nociceptive input and self-regulation on pain. PLoS Biol. 13, e1002036 (2015).
    • (2015) PLoS Biol. , vol.13 , pp. e1002036
    • Woo, C.W.1    Roy, M.2    Buhle, J.T.3    Wager, T.D.4
  • 117
    • 84965003000 scopus 로고    scopus 로고
    • Serotonin transporter polymorphism alters citalopram effects on human pain responses to physical pain
    • Ma, Y. et al. Serotonin transporter polymorphism alters citalopram effects on human pain responses to physical pain. Neuroimage 135, 186-196 (2016).
    • (2016) Neuroimage , vol.135 , pp. 186-196
    • Ma, Y.1
  • 118
    • 84965008558 scopus 로고    scopus 로고
    • Different brain circuitries mediating controllable and uncontrollable pain
    • Bräscher, A.K., Becker, S., Hoeppli, M.E. & Schweinhardt, P. Different brain circuitries mediating controllable and uncontrollable pain. J. Neurosci. 36, 5013-5025 (2016).
    • (2016) J. Neurosci. , vol.36 , pp. 5013-5025
    • Bräscher, A.K.1    Becker, S.2    Hoeppli, M.E.3    Schweinhardt, P.4
  • 119
    • 84929597056 scopus 로고    scopus 로고
    • Model-based cognitive neuroscience approaches to computational psychiatry: Clustering and classification
    • Wiecki, T.V., Poland, J. & Frank, M.J. Model-based cognitive neuroscience approaches to computational psychiatry: clustering and classification. Clin. Psychol. Sci. 3, 378-399 (2015).
    • (2015) Clin. Psychol. Sci. , vol.3 , pp. 378-399
    • Wiecki, T.V.1    Poland, J.2    Frank, M.J.3
  • 120
    • 84975687657 scopus 로고    scopus 로고
    • Computational psychiatry as a bridge from neuroscience to clinical applications
    • Huys, Q.J., Maia, T.V. & Frank, M.J. Computational psychiatry as a bridge from neuroscience to clinical applications. Nat. Neurosci. 19, 404-413 (2016).
    • (2016) Nat. Neurosci. , vol.19 , pp. 404-413
    • Huys, Q.J.1    Maia, T.V.2    Frank, M.J.3
  • 121
    • 79959813209 scopus 로고    scopus 로고
    • Generative embedding for model-based classification of fMRI data
    • Brodersen, K.H. et al. Generative embedding for model-based classification of fMRI data. PLOS Comput. Biol. 7, e1002079 (2011).
    • (2011) PLOS Comput. Biol. , vol.7 , pp. e1002079
    • Brodersen, K.H.1
  • 123
    • 84960193911 scopus 로고    scopus 로고
    • The brain's functional network architecture reveals human motives
    • Hein, G., Morishima, Y., Leiberg, S., Sul, S. & Fehr, E. The brain's functional network architecture reveals human motives. Science 351, 1074-1078 (2016).
    • (2016) Science , vol.351 , pp. 1074-1078
    • Hein, G.1    Morishima, Y.2    Leiberg, S.3    Sul, S.4    Fehr, E.5
  • 124
    • 44249088535 scopus 로고    scopus 로고
    • Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study
    • Fan, Y., Resnick, S.M., Wu, X. & Davatzikos, C. Structural and functional biomarkers of prodromal Alzheimer's disease: a high-dimensional pattern classification study. Neuroimage 41, 277-285 (2008).
    • (2008) Neuroimage , vol.41 , pp. 277-285
    • Fan, Y.1    Resnick, S.M.2    Wu, X.3    Davatzikos, C.4
  • 125
    • 84892643220 scopus 로고    scopus 로고
    • Alzheimer's disease risk assessment using large-scale machine learning methods
    • Casanova, R. et al. Alzheimer's disease risk assessment using large-scale machine learning methods. PLoS One 8, e77949 (2013).
    • (2013) PLoS One , vol.8 , pp. e77949
    • Casanova, R.1
  • 126
    • 84884902857 scopus 로고    scopus 로고
    • Neuroimaging predictors of brain amyloidosis in mild cognitive impairment
    • Tosun, D., Joshi, S. & Weiner, M.W. Neuroimaging predictors of brain amyloidosis in mild cognitive impairment. Ann. Neurol. 74, 188-198 (2013).
    • (2013) Ann. Neurol. , vol.74 , pp. 188-198
    • Tosun, D.1    Joshi, S.2    Weiner, M.W.3
  • 127
    • 37849014569 scopus 로고    scopus 로고
    • Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studies
    • Vemuri, P. et al. Alzheimer's disease diagnosis in individual subjects using structural MR images: validation studies. Neuroimage 39, 1186-1197 (2008).
    • (2008) Neuroimage , vol.39 , pp. 1186-1197
    • Vemuri, P.1
  • 128
    • 34548369547 scopus 로고    scopus 로고
    • Metabolic brain networks associated with cognitive function in Parkinson's disease
    • Huang, C. et al. Metabolic brain networks associated with cognitive function in Parkinson's disease. Neuroimage 34, 714-723 (2007).
    • (2007) Neuroimage , vol.34 , pp. 714-723
    • Huang, C.1
  • 129
    • 78649687189 scopus 로고    scopus 로고
    • Parkinson's disease tremor-related metabolic network: Characterization, progression, and treatment effects
    • Mure, H. et al. Parkinson's disease tremor-related metabolic network: characterization, progression, and treatment effects. Neuroimage 54, 1244-1253 (2011).
    • (2011) Neuroimage , vol.54 , pp. 1244-1253
    • Mure, H.1
  • 130
    • 44449121269 scopus 로고    scopus 로고
    • Abnormal metabolic networks in atypical parkinsonism
    • Eckert, T. et al. Abnormal metabolic networks in atypical parkinsonism. Mov. Disord. 23, 727-733 (2008).
    • (2008) Mov. Disord. , vol.23 , pp. 727-733
    • Eckert, T.1
  • 131
    • 84925462153 scopus 로고    scopus 로고
    • A disease-specific metabolic brain network associated with corticobasal degeneration
    • Niethammer, M. et al. A disease-specific metabolic brain network associated with corticobasal degeneration. Brain 137, 3036-3046 (2014).
    • (2014) Brain , vol.137 , pp. 3036-3046
    • Niethammer, M.1
  • 132
    • 0001942829 scopus 로고
    • Neural networks and the bias/variance dilemma
    • Geman, S., Bienenstock, E. & Doursat, R. Neural networks and the bias/variance dilemma. Neural Comput. 4, 1-58 (1992).
    • (1992) Neural Comput. , vol.4 , pp. 1-58
    • Geman, S.1    Bienenstock, E.2    Doursat, R.3
  • 133
    • 0035964792 scopus 로고    scopus 로고
    • Distributed and overlapping representations of faces and objects in ventral temporal cortex
    • Haxby, J.V. et al. Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science 293, 2425-2430 (2001).
    • (2001) Science , vol.293 , pp. 2425-2430
    • Haxby, J.V.1
  • 135
    • 84938694131 scopus 로고    scopus 로고
    • Machine learning algorithm accurately detects fMRI signature of vulnerability to major depression
    • Sato, J.R. et al. Machine learning algorithm accurately detects fMRI signature of vulnerability to major depression. Psychiatry Res. 233, 289-291 (2015).
    • (2015) Psychiatry Res. , vol.233 , pp. 289-291
    • Sato, J.R.1
  • 136
    • 78651477824 scopus 로고    scopus 로고
    • Predicting individual differences in placebo analgesia: Contributions of brain activity during anticipation and pain experience
    • Wager, T.D., Atlas, L.Y., Leotti, L.A. & Rilling, J.K. Predicting individual differences in placebo analgesia: contributions of brain activity during anticipation and pain experience. J. Neurosci. 31, 439-452 (2011).
    • (2011) J. Neurosci. , vol.31 , pp. 439-452
    • Wager, T.D.1    Atlas, L.Y.2    Leotti, L.A.3    Rilling, J.K.4
  • 137
    • 79960919708 scopus 로고    scopus 로고
    • Age correction in dementia-matching to a healthy brain
    • Dukart, J., Schroeter, M.L. & Mueller, K. Age correction in dementia-matching to a healthy brain. PLoS One 6, e22193 (2011).
    • (2011) PLoS One , vol.6 , pp. e22193
    • Dukart, J.1    Schroeter, M.L.2    Mueller, K.3
  • 139
    • 45749091592 scopus 로고    scopus 로고
    • Predicting human brain activity associated with the meanings of nouns
    • Mitchell, T.M. et al. Predicting human brain activity associated with the meanings of nouns. Science 320, 1191-1195 (2008).
    • (2008) Science , vol.320 , pp. 1191-1195
    • Mitchell, T.M.1
  • 140
    • 79955023796 scopus 로고    scopus 로고
    • Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review
    • Krishnan, A., Williams, L.J., McIntosh, A.R. & Abdi, H. Partial Least Squares (PLS) methods for neuroimaging: a tutorial and review. Neuroimage 56, 455-475 (2011).
    • (2011) Neuroimage , vol.56 , pp. 455-475
    • Krishnan, A.1    Williams, L.J.2    McIntosh, A.R.3    Abdi, H.4
  • 141
    • 80053974018 scopus 로고    scopus 로고
    • Reconstructing visual experiences from brain activity evoked by natural movies
    • Nishimoto, S. et al. Reconstructing visual experiences from brain activity evoked by natural movies. Curr. Biol. 21, 1641-1646 (2011).
    • (2011) Curr. Biol. , vol.21 , pp. 1641-1646
    • Nishimoto, S.1
  • 142
    • 41149148634 scopus 로고    scopus 로고
    • Identifying natural images from human brain activity
    • Kay, K.N., Naselaris, T., Prenger, R.J. & Gallant, J.L. Identifying natural images from human brain activity. Nature 452, 352-355 (2008).
    • (2008) Nature , vol.452 , pp. 352-355
    • Kay, K.N.1    Naselaris, T.2    Prenger, R.J.3    Gallant, J.L.4
  • 143
    • 84889687468 scopus 로고    scopus 로고
    • Classification aided analysis of oscillatory signatures in controlled retrieval
    • Ketz, N., O'Reilly, R.C. & Curran, T. Classification aided analysis of oscillatory signatures in controlled retrieval. Neuroimage 85, 749-760 (2014).
    • (2014) Neuroimage , vol.85 , pp. 749-760
    • Ketz, N.1    O'Reilly, R.C.2    Curran, T.3
  • 144
    • 84941964814 scopus 로고    scopus 로고
    • Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia
    • Kim, J., Calhoun, V.D., Shim, E. & Lee, J.H. Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia. Neuroimage 124 Pt A: 127-146 (2016).
    • (2016) Neuroimage , vol.124 , pp. 127-146
    • Kim, J.1    Calhoun, V.D.2    Shim, E.3    Lee, J.H.4
  • 145
    • 85013751183 scopus 로고    scopus 로고
    • Deep neural networks: A new framework for modeling biological vision and brain information processing
    • Kriegeskorte, N. Deep neural networks: a new framework for modeling biological vision and brain information processing. Annual Review of Vision Science 1, 417-446 (2015).
    • (2015) Annual Review of Vision Science , vol.1 , pp. 417-446
    • Kriegeskorte, N.1
  • 146
    • 33749620330 scopus 로고    scopus 로고
    • Biologically based computational models of high-level cognition
    • O'Reilly, R.C. Biologically based computational models of high-level cognition. Science 314, 91-94 (2006).
    • (2006) Science , vol.314 , pp. 91-94
    • O'Reilly, R.C.1
  • 147
    • 69249102387 scopus 로고    scopus 로고
    • Decoding the large-scale structure of brain function by classifying mental States across individuals
    • Poldrack, R.A., Halchenko, Y.O. & Hanson, S.J. Decoding the large-scale structure of brain function by classifying mental States across individuals. Psychol. Sci. 20, 1364-1372 (2009).
    • (2009) Psychol. Sci. , vol.20 , pp. 1364-1372
    • Poldrack, R.A.1    Halchenko, Y.O.2    Hanson, S.J.3
  • 148
    • 84876718069 scopus 로고    scopus 로고
    • Confounds in multivariate pattern analysis: Theory and rule representation case study
    • Todd, M.T., Nystrom, L.E. & Cohen, J.D. Confounds in multivariate pattern analysis: Theory and rule representation case study. Neuroimage 77, 157-165 (2013).
    • (2013) Neuroimage , vol.77 , pp. 157-165
    • Todd, M.T.1    Nystrom, L.E.2    Cohen, J.D.3
  • 149
    • 84877336908 scopus 로고    scopus 로고
    • Searchlight analysis: Promise, pitfalls, and potential
    • Etzel, J.A., Zacks, J.M. & Braver, T.S. Searchlight analysis: promise, pitfalls, and potential. Neuroimage 78, 261-269 (2013).
    • (2013) Neuroimage , vol.78 , pp. 261-269
    • Etzel, J.A.1    Zacks, J.M.2    Braver, T.S.3
  • 150
    • 80054834251 scopus 로고    scopus 로고
    • A common, high-dimensional model of the representational space in human ventral temporal cortex
    • Haxby, J.V. et al. A common, high-dimensional model of the representational space in human ventral temporal cortex. Neuron 72, 404-416 (2011).
    • (2011) Neuron , vol.72 , pp. 404-416
    • Haxby, J.V.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.