Optical Topography in Psychiatry: A Chip Off the Old Block or a New Look Beyond the Mind–Brain Frontiers?

Ho, Cyrus S. H.; Zhang, Melvyn W. B.; Ho, Roger C. M.

doi:10.3389/fpsyt.2016.00074

Cited by 45Optical Imaging and Spectroscopy TechniquesOptical Coherence Tomography ApplicationsMental Health and Psychiatry

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Optical Topography in Psychiatry: A Chip Off the Old Block or a New Look Beyond the Mind–Brain Frontiers?

Open access

Ho, Cyrus S. H., Zhang, Melvyn W. B., Ho, Roger C. M.·2016·Frontiers in Psychiatry

DOI 10.3389/fpsyt.2016.00074PMC PMC4844608

Open this paper in CoChat — free account Open PDF

Abstract

THE pSYCHiATRiC BOTTLEnECKPsychiatric conditions that include depression, schizophrenia, and dementia contribute most significantly to overall disability adjusted life years (DALYs), surpassing both cardiovascular disease and cancer (1, 2).Therefore, timely and accurate diagnosis and treatment are crucial in psychiatric disorders, for which the development of specific biomarkers would be of particular importance.Despite advances in the field of Psychiatry with more comprehensive classification and description of diagnostic criteria, a pathophysiologically oriented classification of psychiatric disorders based on neurobiological basis remains elusive.The human brain with its complex integrative functions of cognition, emotional regulation, and executive function is the most challenging object of study in human science.Mental illness occurs as a result of these brain dysfunctions, but they often do not lead to distinct pathologic lesions or tissue damage.Instead, they contribute to complications in synaptic relay, synaptic plasticity, and neural circuit function, in addition to influence by external psychosocial factors.Thus, standard imaging methodologies, such as computed tomography (CT) and magnetic resonance imaging (MRI), would not be adequate to delineate the underlying abnormality contributing to the dysfunction.Our inherent lack of understanding of the mind-brain interface and the difficulty in characterizing mental illness further makes the practice of Psychiatry all the more daunting.Being the only medical specialty without any objective diagnostic tool or marker, the current diagnostic process in Psychiatry is regretfully based on patients' reports of symptoms, observed behavior, and disease progression, which can introduce subjectivity and bias.Many clinical symptoms are also common to various psychiatric disorders, such as depressive symptoms in unipolar depression, bipolar disorder, schizoaffective disorder, etc., thus making it challenging to diagnose complex cases accurately within a limited time frame.This is illustrated by studies in the United States that revealed approximately 70% of bipolar patients were initially misdiagnosed due to polymorphic clinical symptoms (3, 4).It is also not uncommon to find different psychiatrists having deferring opinions about a case due to their unique experiences and training.Therefore, there is an urgent need for specific, objective biomarker-based assessments to guide diagnosis and treatment.The use of such biomarkers could assist clinicians in establishing differential diagnosis, which may improve specific individualized treatment.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.3389/fpsyt.2016.00074

Cites

22 of 22 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

The MBI remains the most established way to measure burnout when this meta-analysis was conducted.
“Unless burnout can be measured by neuroimaging or other biological methods as in some psychiatric symptoms [98,99], the MBI remains the most established way to measure burnout when this meta-analysis was conducted.”
From Prevalence of Burnout in Medical and Surgical Residents: A Meta-Analysis (2019) · cites this paper as [98]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Aspirin plus Clopidogrel as Secondary Prevention after Stroke or Transient Ischemic Attack: A Systematic Review and Meta-Analysis
Zhang, Q., Wang, C., Zheng, M., Li, Y., Li, J., Zhang, L., Shang, X., & Yan, C. (2014) · Cerebrovascular Diseases · doi:10.1159/000369778 · Cited by 11,609
Projections of Global Mortality and Burden of Disease from 2002 to 2030
Mathers, C. D., & Loncar, D. (2006) · PLoS Medicine · doi:10.1371/journal.pmed.0030442 · Cited by 11,386
No health without mental health
Prince, M. J., Patel, V., Saxena, S., Maj, M., Maselko, J., Phillips, M. R., & Rahman, A. (2007) · The Lancet · doi:10.1016/s0140-6736(07)61238-0 · Cited by 3,998
Perceptions and impact of bipolar disorder: how far have we really come? Results of the national depressive and manic-depressive association 2000 survey of individuals with bipolar disorder.
Hirschfeld, R. M. A., Lewis, L., & Vornik, L. A. (2003) · PubMed · Cited by 943
Perceptions and Impact of Bipolar Disorder: How Far Have We Really Come? Results of the National Depressive and Manic-Depressive Association 2000 Survey of Individuals With Bipolar Disorder.
Hirschfeld, R. M. A., Lewis, L., & Vornik, L. A. (2003) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v64n0209 · Cited by 922
The National Depressive and Manic-depressive Association (DMDA) survey of bipolar members
Lish, J. D., Dime-Meenan, S., Whybrow, P. C., Price, R. A., & Hirschfeld, R. M. A. (1994) · Journal of Affective Disorders · doi:10.1016/0165-0327(94)90104-x · Cited by 897
Psychiatric genetics: progress amid controversy
Burmeister, M., McInnis, M. G., & Zöllner, S. K. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2381 · Cited by 541
Multichannel near-infrared spectroscopy in depression and schizophrenia: cognitive brain activation study
Suto, T., Fukuda, M., Ito, M., Uehara, T., & Mikuni, M. (2003) · Biological Psychiatry · doi:10.1016/j.biopsych.2003.09.008 · Cited by 430
Neuroimaging-aided differential diagnosis of the depressive state
Takizawa, R., Fukuda, M., Kawasaki, S., Kasai, K., Mimura, M., Pu, S., Noda, T., Niwa, S.-I., & Okazaki, Y. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.126 · Cited by 337
Application of functional near-infrared spectroscopy in psychiatry
Ehlis, A., Schneider, S., Dresler, T., & Fallgatter, A. J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.067 · Cited by 292
Neurofeedback Using Real-Time Near-Infrared Spectroscopy Enhances Motor Imagery Related Cortical Activation
Mihara, M., Miyai, I., Hattori, N., Hatakenaka, M., Yagura, H., Kawano, T., Okibayashi, M., Danjo, N., Ishikawa, A., Inoue, Y. H., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032234 · Cited by 186
Frontal and right temporal activations correlate negatively with depression severity during verbal fluency task: A multi-channel near-infrared spectroscopy study
Noda, T., Yoshida, S., Matsuda, T., Okamoto, N., Sakamoto, K., Koseki, S., Numachi, Y., Matsushima, E., Kunugi, H., & Higuchi, T. (2012) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2012.04.001 · Cited by 161
Wearable functional near infrared spectroscopy (fNIRS) and transcranial direct current stimulation (tDCS): expanding vistas for neurocognitive augmentation
McKendrick, R. D., Parasuraman, R., & Ayaz, H. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00027 · Cited by 143
The relationship between the prefrontal activation during a verbal fluency task and stress-coping style in major depressive disorder: A near-infrared spectroscopy study
Pu, S., Nakagome, K., Yamada, T., Yokoyama, K., Matsumura, H., Mitani, H., Adachi, A., Nagata, I., & Kaneko, K. (2012) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2012.08.001 · Cited by 100
Using simultaneous repetitive Transcranial Magnetic Stimulation/functional Near Infrared Spectroscopy (rTMS/fNIRS) to measure brain activation and connectivity
Kozel, F. A., Tian, F., Dhamne, S. C., Croarkin, P. E., McClintock, S. M., Elliott, A., Mapes, K. S., Husain, M. M., & Liu, H. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.016 · Cited by 77
Abnormal prefrontal cortical response during affective processing in borderline personality disorder
Ruocco, A. C., Medaglia, J. D., Ayaz, H., & Chute, D. L. (2010) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2010.01.011 · Cited by 64
Impaired Prefrontal Hemodynamic Maturation in Autism and Unaffected Siblings
Kawakubo, Y., Kuwabara, H., Watanabe, K., Minowa, M., 染谷利一, Minowa, I., Kono, T., Nishida, H., Sugiyama, T., Kato, N., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006881 · Cited by 51
Imaging Genetics and Psychiatric Disorders
Hashimoto, R., Ohi, K., Yamamori, H., Yasuda, Y., Fujimoto, M., Umeda‐Yano, S., Watanabe, Y., Fukunaga, M., & Takeda, M. (2015) · Current Molecular Medicine · doi:10.2174/1566524015666150303104159 · Cited by 45
Association between Catechol-O-Methyltrasferase Val108/158Met Genotype and Prefrontal Hemodynamic Response in Schizophrenia
Takizawa, R., Tochigi, M., Kawakubo, Y., Marumo, K., Sasaki, T., Fukuda, M., & Kasai, K. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005495 · Cited by 41
Altered frontal brain oxygenation in detoxified alcohol dependent patients with unaffected verbal fluency performance
Schecklmann, M., Ehlis, A., Plichta, M. M., Boutter, H. K., Metzger, F. G., & Fallgatter, A. J. (2007) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2007.01.009 · Cited by 40
Reduced prefrontal activation during Tower of London in first-episode schizophrenia: a multi-channel near-infrared spectroscopy study.
Zhu, Y., Liu, X., Wang, H., Jiang, T., Fang, Y., Hu, H.-S., Wang, G.-H., Wang, X., Liu, Z.-C., & Zhang, K. (2010) · Neuroscience Letters · doi:10.1016/j.neulet.2010.05.003 · Cited by 38
[Optical Topography as an Auxiliary Laboratory Test for Differential Diagnosis of Depressive State: Clinical Application of Near-infrared Spectroscopy (NIRS) as the First Trial for Approved Laboratory Tests in Psychiatry].
Fukuda, M. (2015) · PubMed · Cited by 10

Flagged first, then by citations

Sorted by citations

Global evolution of research in artificial intelligence in health and medicine: a bibliometric study
Tran, B. X., Vu, G. T., Ha, G. H., Vuong, Q.-H., Ho, M.-T., Vuong, T.-T., La, V.-P., Ho, M.-T., Nghiem, K.-C. P., Nguyen, H. L. T., et al. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8030360 · Cited by 472
Self-citation
Prevalence of Burnout in Medical and Surgical Residents: A Meta-Analysis
Low, Z. X., Yeo, K. A., Sharma, V. K., Leung, G. K., McIntyre, R. S., Guerrero, A., Lu, B., Sin Fai Lam, C. C., Tran, B. X., Nguyen, L. H., et al. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16091479 · Cited by 415
“Unless burnout can be measured by neuroimaging or other biological methods as in some psychiatric symptoms [98,99], the MBI remains the most established way to measure burnout when this meta-analysis was conducted.”
MethodSelf-citation
Diagnostic and Predictive Applications of Functional Near-Infrared Spectroscopy for Major Depressive Disorder: A Systematic Review
Ho, C. S. H., Lim, L. J. H., Lim, A. Q., Chan, N. H. C., Tan, R. S., Lee, S. H., & Ho, R. C. M. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00378 · Cited by 221
Self-citation
Validating a functional near-infrared spectroscopy diagnostic paradigm for Major Depressive Disorder
Husain, S. F., Yu, R., Tang, T.-B., Tam, W. W., Tran, B., Quek, T. T., Hwang, S.-H., Chang, C. W., Ho, C. S., & Ho, R. C. (2020) · Scientific Reports · doi:10.1038/s41598-020-66784-2 · Cited by 213
Self-citation
Pharmacological interventions targeting anhedonia in patients with major depressive disorder: A systematic review
Cao, B., Zhu, J., Zuckerman, H., Rosenblat, J. D., Brietzke, E., Pan, Z., Subramanieapillai, M., Park, C., Lee, Y., & McIntyre, R. S. (2019) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2019.01.002 · Cited by 175
Cortical haemodynamic response measured by functional near infrared spectroscopy during a verbal fluency task in patients with major depression and borderline personality disorder
Husain, S. F., Tang, T. B., Yu, R., Tam, W., Tran, B. X., Quek, T. T. C., Hwang, S.-H., Chang, C. W., Ho, C. S. H., & Ho, R. (2019) · EBioMedicine · doi:10.1016/j.ebiom.2019.11.047 · Cited by 144
Self-citation
The utility of smartphone-based, ecological momentary assessment for depressive symptoms
Yim, S. J., Lui, L. M. W., Lee, Y. L., Rosenblat, J. D., Ragguett, R., Park, C., Subramaniapillai, M., Cao, B., Zhou, A. J., Rong, C., et al. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.05.116 · Cited by 89
Self-citation
Functional near-infrared spectroscopy in psychiatry
Lai, C. Y. Y., Ho, C. S. H., Lim, C. R., & Ho, R. C. M. (2017) · BJPsych Advances · doi:10.1192/apt.bp.115.015610 · Cited by 77
Self-citation
Clinical Utility of Beck Anxiety Inventory in Clinical and Nonclinical Korean Samples
오현주, Park, K., Yoon, S., Kim, Y., Lee, S., Choi, Y. Y., & Choi, K. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00666 · Cited by 87
Comparison of Brain Activation Patterns during Olfactory Stimuli between Recovered COVID-19 Patients and Healthy Controls: A Functional Near-Infrared Spectroscopy (fNIRS) Study
Ho, R., Sharma, V. K., Tan, B. Y., Ng, A. Y. Y., Lui, Y. S., Husain, S. F., Ho, C. S. H., Tran, B. X., Pham, Q.-H., McIntyre, R. S., et al. (2021) · Brain Sciences · doi:10.3390/brainsci11080968 · Cited by 48
Self-citation
Reduced Prefrontal Activation During the Tower of London and Verbal Fluency Task in Patients With Bipolar Depression: A Multi-Channel NIRS Study
Fu, L., Xiang, D., Xiao, J., Yao, L., Wang, Y., Xiao, L., Wang, H., Wang, G., & Liu, Z. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00214 · Cited by 47
Indices of Change, Expectations, and Popularity of Biological Treatments for Major Depressive Disorder between 1988 and 2017: A Scientometric Analysis
Tran, B. X., Ha, G. H., Vu, G. T., Nguyen, L. H., Latkin, C. A., Nathan, K., McIntyre, R. S., Ho, C. S. H., Tam, W., & Ho, R. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16132255 · Cited by 38
Self-citation
Differentiating Medicated Patients Suffering from Major Depressive Disorder from Healthy Controls by Spot Urine Measurement of Monoamines and Steroid Hormones
Wijaya, C. S., Lee, J. J. Z., Husain, S. F., Ho, C. S. H., McIntyre, R. S., Tam, W., & Ho, R. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15050865 · Cited by 31
Self-citation
fNIRS Evaluation of Frontal and Temporal Cortex Activation by Verbal Fluency Task and High-Level Cognition Task for Detecting Anxiety and Depression
Lang, X., Wen, D., Li, Q., Yin, Q., Wang, M., & Xu, Y. J. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.690121 · Cited by 31
Cortical haemodynamic response during the verbal fluency task in patients with bipolar disorder and borderline personality disorder: a preliminary functional near-infrared spectroscopy study
Husain, S. F., Tang, T. B., Tam, W., Tran, B. X., Ho, C. S. H., & Ho, R. (2021) · BMC Psychiatry · doi:10.1186/s12888-021-03195-1 · Cited by 30
Self-citation
Cognitive dysfunction in patients with systemic lupus erythematosus: The challenge in diagnosis and management
Ho, R., Husain, S. F., & Ho, C. S. H. (2018) · Rheumatology Practice and Research · doi:10.1177/2059902118792434 · Cited by 33
Self-citation
Utility of portable functional near-infrared spectroscopy (fNIRS) in patients with bipolar and unipolar disorders: A comparison with healthy controls
Tran, B. X., Nguyen, T. T., Nguyen, H. S. A., Boyer, L., Auquier, P., Fond, G. B., Tran, H. T. N., Nguyen, H. M., Choi, J., Latkin, C. A., et al. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.11.091 · Cited by 28
Self-citation
Interhemispheric functional connectivity for Alzheimer’s disease and amnestic mild cognitive impairment based on the triple network model
Liao, Z., Tan, Y., Qiu, Y., Zhu, J., Chen, Y., Lin, S., Wu, M., Mao, Y., Hu, J., Ding, Z., et al. (2018) · Journal of Zhejiang University SCIENCE B · doi:10.1631/jzus.b1800381 · Cited by 26
The short-term effect of dark chocolate flavanols on cognition in older adults: A randomized controlled trial (FlaSeCo)
Suominen, M. H., Laaksonen, M. M. L., Salmenius-Suominen, H., Kautiainen, H., Hongisto, S.-M., Tuukkanen, K., Jyväkorpi, S. K., & Pitkälä, K. H. (2020) · Experimental Gerontology · doi:10.1016/j.exger.2020.110933 · Cited by 23
Functional near-infrared spectroscopy during a decision-making task in patients with major depressive disorder
Husain, S. F., Ong, S. K., Liu, C., Tran, B. X., Ho, R., & Ho, C. S. H. (2020) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867420976856 · Cited by 23
Self-citation
The fNIRS evaluation of frontal and temporal lobe cortical activation in Chinese first-episode medication-naïve and recurrent depression during a verbal fluency task
Yang, T., Wang, H., Dai, H., Hui, J., Zhang, J., Li, J., Cui, G., Wang, J., Mu, J., & Zhang, Z. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1132666 · Cited by 23
Characteristics of frontal activity relevant to cognitive function in bipolar depression: an fNIRS study
Gao, C., Zhou, H., Liu, J., Xiu, J., Huang, Q., Liang, Y., Li, T., & Hu, S. (2022) · Biomedical Optics Express · doi:10.1364/boe.448244 · Cited by 21
Cognitive Control as a 5-HT1A-Based Domain That Is Disrupted in Major Depressive Disorder
Langenecker, S. A., Mickey, B. J., Eichhammer, P., Sen, S., Elverman, K. H., Kennedy, S. E., Heitzeg, M. M., Ribeiro, S. M., Love, T. M., Hsu, D. T., et al. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00691 · Cited by 18
Frontal haemodynamic responses in depression and the effect of electroconvulsive therapy
Downey, D., Brigadoi, S., Trevithick, L., Elliott, R., Elwell, C. E., McAllister-Williams, H., & Anderson, I. M. (2019) · Journal of Psychopharmacology · doi:10.1177/0269881119858313 · Cited by 18
Shedding light on neuroscience: Two decades of functional near‐infrared spectroscopy applications and advances from a bibliometric perspective
Devezas, M. (2021) · Journal of Neuroimaging · doi:10.1111/jon.12877 · Cited by 16
The Benefits of High Intensity Exercise on the Brain of a Drug Abuser
Cabral, D. A. R., Tavares, V. D. D. O., da Costa, K. G., Nascimento, P., Faro, H., Elsangedy, H. M., & Fontes, E. B. (2018) · Global Journal of Health Science · doi:10.5539/gjhs.v10n6p123 · Cited by 16
Chronic Manganese Toxicity Associated with Voltage-Gated Potassium Channel Complex Antibodies in a Relapsing Neuropsychiatric Disorder
Ho, C. S. H., Ho, R., & Quek, A. M. L. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15040783 · Cited by 16
Self-citation
Simulation study to demonstrate biases created by diagnostic criteria of mental illnesses: major depressive episodes, dysthymia, and manic episodes
Chao, Y., Lin, K.-F., Wu, C.-J., Wu, H., Hsu, H., Tsao, L., Cheng, Y.-P., Lai, Y.-C., & Chen, W. (2020) · BMJ Open · doi:10.1136/bmjopen-2020-037022 · Cited by 14
Differentiating people with schizophrenia from healthy controls in a developing Country: An evaluation of portable functional near infrared spectroscopy (fNIRS) as an adjunct diagnostic tool
Tran, B. X., Nguyen, T. T., Boyer, L., Fond, G. B., Auquier, P., Nguyen, H. S. A., Tran, H. T. N., Nguyen, H. M., Choi, J., Le, H. T., et al. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1061284 · Cited by 13
Self-citation
Abnormal prefrontal cortical activation during the GO/NOGO and verbal fluency tasks in adult patients with comorbid generalized anxiety disorder and attention-deficit/hyperactivity disorder: An fNIRS study
Zhang, Y., Feng, Y., Liu, L., Jiang, G., & Wang, M. (2024) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2024.02.053 · Cited by 15
An Approach to Neuroimaging Interpersonal Interactions in Mental Health Interventions
Crum, J. E., II, Zhang, X., Noah, A., Hamilton, A. F. D. C., Tachtsidis, I., Burgess, P. W., & Joy Hirsch, C. (2022) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2022.01.008 · Cited by 12
Mindfulness and hemodynamics in asians: a literature review
Choo, C. C., Lee, J. J. W., Kuek, J. H. L., Ang, K. K., Yu, J. H., Ho, C. S. H., & Ho, R. (2019) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2019.07.035 · Cited by 12
Self-citation
Meta-analysis of 5-hydroxytryptamine transporter gene promoter region polymorphism and post-stroke depression
Wang, Y., Liu, H., Jiang, Y., Shi, X., Shao, Y., & Xu, Z. (2020) · Journal of International Medical Research · doi:10.1177/0300060520925943 · Cited by 9
Global research trends of Artificial Intelligence and Machine Learning applied in medicine: A bibliometric analysis (2012–2022)
Nicolò, V. D., & Torre, D. L. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13671-9.00004-1 · Cited by 6
Zinc Deficiency Leads to Lipid Changes in Drosophila Brain Similar to Cognitive‐Impairing Drugs: An Imaging Mass Spectrometry Study
Philipsen, M. H., Gu, C., & Ewing, A. G. (2020) · ChemBioChem · doi:10.1002/cbic.202000197 · Cited by 5
Perspective review on applications of optics in skull base surgery
Zagzoog, N., Zadeh, G. M., Lin, V., & Yang, V. X. D. (2021) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2021.107085 · Cited by 4
Optimization of Illuminance and Color-Temperature Conditions for Railway Passengers’ Comfort Based on Oxygenated Hemoglobin Saturation in the Brain
Kim, M.-K., Lee, J., Lee, Y., & Park, D. (2025) · Toxics · doi:10.3390/toxics13030212 · Cited by 2
Burden and determinants of cognitive impairment in patients with systemic lupus erythematosus patients: a cross-sectional study from a tertiary care centre in South India
Kodali, R. S., Pinto, B., Salazar, L. J., Selvam, S., Mathew, A., Janardhana, R., & Shobha, V. (2025) · Clinical Rheumatology · doi:10.1007/s10067-025-07607-5 · Cited by 2
Correlation between neurofilament, HMGB1, MMP9, ds DNA blood levels and cognitive impairment in patients with neuropsychiatric systemic lupus erythematosus.
Ahmadzade, A., Simani, L., Roozbeh, M., Farsad, F., Sheibani, M., Negaresh, O., Emam, M. M., Rajaei, A., Kazempour, M., Ramezani, M., et al. (2024) · PubMed Central · doi:10.22088/cjim.15.1.6 · Cited by 1
Classification of Participants Based on Increase–Decrease Rate Model of Reaction Time to Personality Trait Words
Matsuda, K., & Sato, E. (2019) · Behavioral Sciences · doi:10.3390/bs9120155
The Impact of Distance and Altitude on Railway Environmental Noise Based on Cerebral Oxygenated Hemoglobin Saturation
Kim, M.-K., & Park, D. (2025) · Brain Sciences · doi:10.3390/brainsci15050439
Neurodiagnostic: Advances in diagnostic tools
Dave, S., Banerjee, J., Banerjee, S., & Tiwari, A. K. (2025) · International review of cytology · doi:10.1016/bs.ircmb.2025.12.001
Additional file 1 of Cortical haemodynamic response during the verbal fluency task in patients with bipolar disorder and borderline personality disorder: a preliminary functional near-infrared spectroscopy study
Husain, S. F., Tang, T.-B., Tam, W. W., Tran, B. X., Ho, C. S., & Ho, R. (2021) · Figshare · doi:10.6084/m9.figshare.14456852
Self-citation
Exploring the Interpretive Clarity of the TCCNI-RePract and Identifying Conceptual Barriers Encountered by Japanese Psychiatric Nurses: A Concurrent Mixed-Methods Study
Takashima, Y., Soriano, G. P., Blaquera, A. P., Ito, H., Yasuhara, Y., Osaka, K., & Tanioka, T. (2026) · Nursing Reports · doi:10.3390/nursrep16030077
Alterations of homotopic functional connectivity and correlates with core neuropsychological impairments in mild cognitive impairment: a resting-state fMRI study
Guo, Y., Gao, Y., Liu, Y., Nie, X., Xiong, Q., & Ren, Z. (2026) · Brain Imaging and Behavior · doi:10.1007/s11682-026-01163-5

The last Diagnostic and Statistical Manual (DSM): replacing our symptom-based diagnoses with a brain circuit-based classification of mental illnesses
Stahl, S. M. (2013) · CNS Spectrums · doi:10.1017/s1092852913000084 · Cited by 26
Clinical and research uses of neuroimaging and neurophysiology in psychiatry
Linden, D. E. J. (2016) · Oxford University Press eBooks · doi:10.1093/med/9780198739609.003.0001
Major Depression, Bipolar Syndromes, and Schizophrenia
Petty, F., Ramaswamy, S., Padala, P. R., Deupree, J. D., & Bylund, D. B. (2008) · Springer eBooks · doi:10.1007/978-0-387-72573-4_35 · Cited by 1
Chronic Mental Disorders: Limitations and Perspectives of Prediction, Prevention, Diagnosis, and Personalized Treatment in Psychiatry
Rymaszewska, J., Fila-Witecka, K., & Szcześniak, D. M. (2023) · Advances in predictive, preventive and personalised medicine · doi:10.1007/978-3-031-34884-6_15 · Cited by 3
Current Status and Limitations of Psychiatric Disorders and Pharmacotherapy, and Prospects for Precision Medicine
Kato, M. (2022) · Proceedings for Annual Meeting of The Japanese Pharmacological Society · doi:10.1254/jpssuppl.95.0_2-s24-3

Authors: Ho, C. S. H., Zhang, M. W. B., & Ho, R. C. M.
Affiliations: National University of Singapore (SG)
Institute of Mental Health (SG)
Corresponding author: Ho, Cyrus S. H.
ORCID: Ho, Cyrus S. H.
Zhang, Melvyn W. B.
Ho, Roger C. M.
Venue: Frontiers in Psychiatry
Publisher: Frontiers Media SA
Published: 2016-04-26
Volume: 7
Pages: 74-74
ISSN: 1664-0640 (ISSN-L)
DOI: 10.3389/fpsyt.2016.00074
PMC: PMC4844608
OpenAlex: W2342608217
Cited by: 45
References: 22
Citations by year: 2026: 2 · 2025: 4 · 2024: 3 · 2023: 2 · 2022: 3 · 2021: 6 · 2020: 8 · 2019: 9 · 2018: 7 · 2017: 1
FWCI: 4.92
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
Locations: Frontiers in Psychiatry (publishedVersion, cc-by)
Europe PMC (PubMed Central) (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
National University of Singapore (submittedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics: Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
Physical Sciences › Engineering › Biomedical Engineering › Optical Coherence Tomography Applications
Social Sciences › Arts and Humanities › Philosophy › Mental Health and Psychiatry
Keywords: optical topography, functional near-infrared spectroscopy, psychiatric biomarkers, psychiatric diagnosis, differential diagnosis, depression, schizophrenia, dementia, brain dysfunction

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Optical Topography in Psychiatry: A Chip Off the Old Block or a New Look Beyond the Mind–Brain Frontiers?

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks