Utility of portable functional near-infrared spectroscopy (fNIRS) in patients with bipolar and unipolar disorders: A comparison with healthy controls
This study aimed to evaluate portable functional near-infrared spectroscopy (fNIRS) device as an adjunct diagnostic tool for bipolar and unipolar disorders while performing cognitive tasks. 150 participants were divided into three groups including bipolar, unipolar disorder, and healthy controls (50...
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| Veröffentlicht in: | Journal of affective disorders 2023-02, Vol.323, p.581-591 |
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| creator | Tran, Bach Xuan Nguyen, Tham Thi Nguyen, Hao Si Anh Boyer, Laurent Auquier, Pascal Fond, Guillaume Tran, Ha Thi Nhi Nguyen, Hung Manh Choi, Jongkwan Latkin, Carl A. Ho, Cyrus S.H. Husain, Syeda F. McIntyre, Roger S. Zhang, Melvyn W.B. Ho, Roger C.M. |
| description | This study aimed to evaluate portable functional near-infrared spectroscopy (fNIRS) device as an adjunct diagnostic tool for bipolar and unipolar disorders while performing cognitive tasks.
150 participants were divided into three groups including bipolar, unipolar disorder, and healthy controls (50:50:50), matched by age, gender, and family history of mood disorder. Hemodynamics in the frontal cortex were monitored by fNIRS during the Stroop Color-Word Test and Verbal Fluency Test. The GLM compared the differences in oxy-hemoglobin levels between the two groups. The Receiver Operating Characteristic (ROC) graph was generated for each neuroanatomical area.
For people with BD group, the area under the ROC curve (AUC) for the left orbitofrontal cortex was maximal during the VFT [AUC = 0.727, 95%CI = 0.617–0.824]. The Youden's index reached a peak (0.40) at the optimal cut-point value (HbO2 cutoff |
| doi_str_mv | 10.1016/j.jad.2022.11.091 |
| format | Article |
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150 participants were divided into three groups including bipolar, unipolar disorder, and healthy controls (50:50:50), matched by age, gender, and family history of mood disorder. Hemodynamics in the frontal cortex were monitored by fNIRS during the Stroop Color-Word Test and Verbal Fluency Test. The GLM compared the differences in oxy-hemoglobin levels between the two groups. The Receiver Operating Characteristic (ROC) graph was generated for each neuroanatomical area.
For people with BD group, the area under the ROC curve (AUC) for the left orbitofrontal cortex was maximal during the VFT [AUC = 0.727, 95%CI = 0.617–0.824]. The Youden's index reached a peak (0.40) at the optimal cut-point value (HbO2 cutoff <0.180 μmol/ml for BD) in which the sensitivity was 82 %; specificity was 58 %; PPV was 0.66; NPV was 0.76 and correct classification rate was 70 %. Regarding the UD group, during VFT, the highest value AUC [AUC = 0.822, 95%CI = 0.740–0.903] was recorded in the left dorsolateral prefrontal cortex with the optimal cut-off value (HbO2cutoff ≥0.163 μmol/ml for healthy controls; <0.163 for unipolar disorder), the sensitivity was 72 %; specificity was 82 %; PPV was 0.80; NPV was 0.75, correct classification rate was 77 %, and the Youden's index was 0.54.
Assessing hemodynamics during VFT using portable fNIRS offers the potential as an adjunct diagnostic tool for mood disorders in low-resource environments.
•fNIRS is an adjunct tool for the diagnosis of BD and UD.•The SCWT and VFT were effective in measuring decreased of Oxy-Hb in BD and UD.•The correctly classify rate of fNIRS was 70 % to distinguish BD during the VFT.•The correctly classify rate of fNIRS was 77 % to distinguish UD during the VFT.</description><identifier>ISSN: 0165-0327</identifier><identifier>EISSN: 1573-2517</identifier><identifier>DOI: 10.1016/j.jad.2022.11.091</identifier><identifier>PMID: 36516913</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Artificial intelligence ; Bipolar disorder ; Bipolar Disorder - diagnostic imaging ; Depression ; Diagnosis ; Frontal Lobe ; Humans ; Machine learning ; Neuroimaging ; Oxyhemoglobins - metabolism ; Prefrontal Cortex ; Spectroscopy, Near-Infrared</subject><ispartof>Journal of affective disorders, 2023-02, Vol.323, p.581-591</ispartof><rights>2022 Elsevier B.V.</rights><rights>Copyright © 2022 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c353t-a1e78e6a3f29a2eaebd2c9bf6bd6dc9ea57346e12aa95a4d08a439f0d164e4313</citedby><cites>FETCH-LOGICAL-c353t-a1e78e6a3f29a2eaebd2c9bf6bd6dc9ea57346e12aa95a4d08a439f0d164e4313</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0165032722013593$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36516913$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tran, Bach Xuan</creatorcontrib><creatorcontrib>Nguyen, Tham Thi</creatorcontrib><creatorcontrib>Nguyen, Hao Si Anh</creatorcontrib><creatorcontrib>Boyer, Laurent</creatorcontrib><creatorcontrib>Auquier, Pascal</creatorcontrib><creatorcontrib>Fond, Guillaume</creatorcontrib><creatorcontrib>Tran, Ha Thi Nhi</creatorcontrib><creatorcontrib>Nguyen, Hung Manh</creatorcontrib><creatorcontrib>Choi, Jongkwan</creatorcontrib><creatorcontrib>Latkin, Carl A.</creatorcontrib><creatorcontrib>Ho, Cyrus S.H.</creatorcontrib><creatorcontrib>Husain, Syeda F.</creatorcontrib><creatorcontrib>McIntyre, Roger S.</creatorcontrib><creatorcontrib>Zhang, Melvyn W.B.</creatorcontrib><creatorcontrib>Ho, Roger C.M.</creatorcontrib><title>Utility of portable functional near-infrared spectroscopy (fNIRS) in patients with bipolar and unipolar disorders: A comparison with healthy controls</title><title>Journal of affective disorders</title><addtitle>J Affect Disord</addtitle><description>This study aimed to evaluate portable functional near-infrared spectroscopy (fNIRS) device as an adjunct diagnostic tool for bipolar and unipolar disorders while performing cognitive tasks.
150 participants were divided into three groups including bipolar, unipolar disorder, and healthy controls (50:50:50), matched by age, gender, and family history of mood disorder. Hemodynamics in the frontal cortex were monitored by fNIRS during the Stroop Color-Word Test and Verbal Fluency Test. The GLM compared the differences in oxy-hemoglobin levels between the two groups. The Receiver Operating Characteristic (ROC) graph was generated for each neuroanatomical area.
For people with BD group, the area under the ROC curve (AUC) for the left orbitofrontal cortex was maximal during the VFT [AUC = 0.727, 95%CI = 0.617–0.824]. The Youden's index reached a peak (0.40) at the optimal cut-point value (HbO2 cutoff <0.180 μmol/ml for BD) in which the sensitivity was 82 %; specificity was 58 %; PPV was 0.66; NPV was 0.76 and correct classification rate was 70 %. Regarding the UD group, during VFT, the highest value AUC [AUC = 0.822, 95%CI = 0.740–0.903] was recorded in the left dorsolateral prefrontal cortex with the optimal cut-off value (HbO2cutoff ≥0.163 μmol/ml for healthy controls; <0.163 for unipolar disorder), the sensitivity was 72 %; specificity was 82 %; PPV was 0.80; NPV was 0.75, correct classification rate was 77 %, and the Youden's index was 0.54.
Assessing hemodynamics during VFT using portable fNIRS offers the potential as an adjunct diagnostic tool for mood disorders in low-resource environments.
•fNIRS is an adjunct tool for the diagnosis of BD and UD.•The SCWT and VFT were effective in measuring decreased of Oxy-Hb in BD and UD.•The correctly classify rate of fNIRS was 70 % to distinguish BD during the VFT.•The correctly classify rate of fNIRS was 77 % to distinguish UD during the VFT.</description><subject>Artificial intelligence</subject><subject>Bipolar disorder</subject><subject>Bipolar Disorder - diagnostic imaging</subject><subject>Depression</subject><subject>Diagnosis</subject><subject>Frontal Lobe</subject><subject>Humans</subject><subject>Machine learning</subject><subject>Neuroimaging</subject><subject>Oxyhemoglobins - metabolism</subject><subject>Prefrontal Cortex</subject><subject>Spectroscopy, Near-Infrared</subject><issn>0165-0327</issn><issn>1573-2517</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc2O1DAQhC0EYoeFB-CCfFwOCf5JnAmcVit-VlqBBOzZ6thtjUcZO9gOaB6E98WrGThyanXrq5K6ipCXnLWccfVm3-7BtoIJ0XLespE_IhveD7IRPR8ek01l-oZJMVyQZznvGWNqHNhTciFVz9XI5Yb8vi9-9uVIo6NLTAWmGalbgyk-BphpQEiNDy5BQkvzgqakmE1cjvTKfb79-u019YEuUDyGkukvX3Z08kucIVEIlq7hvFifY7KY8lt6TU08LJDqJZwUO4S57I71Hqr9nJ-TJw7mjC_O85Lcf3j__eZTc_fl4-3N9V1jZC9LAxyHLSqQTowgEHCywoyTU5NV1owINYtOIRcAYw-dZVvo5OiY5arDTnJ5Sa5OvkuKP1bMRR98NjjPEDCuWYuh77aKdaqvKD-hpv6fEzq9JH-AdNSc6Yc29F7XNvRDG5pzXduomldn-3U6oP2n-Bt_Bd6dAKxP_vSYdDY1SIPWp5q0ttH_x_4PMW6eYA</recordid><startdate>20230215</startdate><enddate>20230215</enddate><creator>Tran, Bach Xuan</creator><creator>Nguyen, Tham Thi</creator><creator>Nguyen, Hao Si Anh</creator><creator>Boyer, Laurent</creator><creator>Auquier, Pascal</creator><creator>Fond, Guillaume</creator><creator>Tran, Ha Thi Nhi</creator><creator>Nguyen, Hung Manh</creator><creator>Choi, Jongkwan</creator><creator>Latkin, Carl A.</creator><creator>Ho, Cyrus S.H.</creator><creator>Husain, Syeda F.</creator><creator>McIntyre, Roger S.</creator><creator>Zhang, Melvyn W.B.</creator><creator>Ho, Roger C.M.</creator><general>Elsevier B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20230215</creationdate><title>Utility of portable functional near-infrared spectroscopy (fNIRS) in patients with bipolar and unipolar disorders: A comparison with healthy controls</title><author>Tran, Bach Xuan ; Nguyen, Tham Thi ; Nguyen, Hao Si Anh ; Boyer, Laurent ; Auquier, Pascal ; Fond, Guillaume ; Tran, Ha Thi Nhi ; Nguyen, Hung Manh ; Choi, Jongkwan ; Latkin, Carl A. ; Ho, Cyrus S.H. ; Husain, Syeda F. ; McIntyre, Roger S. ; Zhang, Melvyn W.B. ; Ho, Roger C.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c353t-a1e78e6a3f29a2eaebd2c9bf6bd6dc9ea57346e12aa95a4d08a439f0d164e4313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Artificial intelligence</topic><topic>Bipolar disorder</topic><topic>Bipolar Disorder - diagnostic imaging</topic><topic>Depression</topic><topic>Diagnosis</topic><topic>Frontal Lobe</topic><topic>Humans</topic><topic>Machine learning</topic><topic>Neuroimaging</topic><topic>Oxyhemoglobins - metabolism</topic><topic>Prefrontal Cortex</topic><topic>Spectroscopy, Near-Infrared</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tran, Bach Xuan</creatorcontrib><creatorcontrib>Nguyen, Tham Thi</creatorcontrib><creatorcontrib>Nguyen, Hao Si Anh</creatorcontrib><creatorcontrib>Boyer, Laurent</creatorcontrib><creatorcontrib>Auquier, Pascal</creatorcontrib><creatorcontrib>Fond, Guillaume</creatorcontrib><creatorcontrib>Tran, Ha Thi Nhi</creatorcontrib><creatorcontrib>Nguyen, Hung Manh</creatorcontrib><creatorcontrib>Choi, Jongkwan</creatorcontrib><creatorcontrib>Latkin, Carl A.</creatorcontrib><creatorcontrib>Ho, Cyrus S.H.</creatorcontrib><creatorcontrib>Husain, Syeda F.</creatorcontrib><creatorcontrib>McIntyre, Roger S.</creatorcontrib><creatorcontrib>Zhang, Melvyn W.B.</creatorcontrib><creatorcontrib>Ho, Roger C.M.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of affective disorders</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tran, Bach Xuan</au><au>Nguyen, Tham Thi</au><au>Nguyen, Hao Si Anh</au><au>Boyer, Laurent</au><au>Auquier, Pascal</au><au>Fond, Guillaume</au><au>Tran, Ha Thi Nhi</au><au>Nguyen, Hung Manh</au><au>Choi, Jongkwan</au><au>Latkin, Carl A.</au><au>Ho, Cyrus S.H.</au><au>Husain, Syeda F.</au><au>McIntyre, Roger S.</au><au>Zhang, Melvyn W.B.</au><au>Ho, Roger C.M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Utility of portable functional near-infrared spectroscopy (fNIRS) in patients with bipolar and unipolar disorders: A comparison with healthy controls</atitle><jtitle>Journal of affective disorders</jtitle><addtitle>J Affect Disord</addtitle><date>2023-02-15</date><risdate>2023</risdate><volume>323</volume><spage>581</spage><epage>591</epage><pages>581-591</pages><issn>0165-0327</issn><eissn>1573-2517</eissn><abstract>This study aimed to evaluate portable functional near-infrared spectroscopy (fNIRS) device as an adjunct diagnostic tool for bipolar and unipolar disorders while performing cognitive tasks.
150 participants were divided into three groups including bipolar, unipolar disorder, and healthy controls (50:50:50), matched by age, gender, and family history of mood disorder. Hemodynamics in the frontal cortex were monitored by fNIRS during the Stroop Color-Word Test and Verbal Fluency Test. The GLM compared the differences in oxy-hemoglobin levels between the two groups. The Receiver Operating Characteristic (ROC) graph was generated for each neuroanatomical area.
For people with BD group, the area under the ROC curve (AUC) for the left orbitofrontal cortex was maximal during the VFT [AUC = 0.727, 95%CI = 0.617–0.824]. The Youden's index reached a peak (0.40) at the optimal cut-point value (HbO2 cutoff <0.180 μmol/ml for BD) in which the sensitivity was 82 %; specificity was 58 %; PPV was 0.66; NPV was 0.76 and correct classification rate was 70 %. Regarding the UD group, during VFT, the highest value AUC [AUC = 0.822, 95%CI = 0.740–0.903] was recorded in the left dorsolateral prefrontal cortex with the optimal cut-off value (HbO2cutoff ≥0.163 μmol/ml for healthy controls; <0.163 for unipolar disorder), the sensitivity was 72 %; specificity was 82 %; PPV was 0.80; NPV was 0.75, correct classification rate was 77 %, and the Youden's index was 0.54.
Assessing hemodynamics during VFT using portable fNIRS offers the potential as an adjunct diagnostic tool for mood disorders in low-resource environments.
•fNIRS is an adjunct tool for the diagnosis of BD and UD.•The SCWT and VFT were effective in measuring decreased of Oxy-Hb in BD and UD.•The correctly classify rate of fNIRS was 70 % to distinguish BD during the VFT.•The correctly classify rate of fNIRS was 77 % to distinguish UD during the VFT.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>36516913</pmid><doi>10.1016/j.jad.2022.11.091</doi><tpages>11</tpages></addata></record> |
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| subjects | Artificial intelligence Bipolar disorder Bipolar Disorder - diagnostic imaging Depression Diagnosis Frontal Lobe Humans Machine learning Neuroimaging Oxyhemoglobins - metabolism Prefrontal Cortex Spectroscopy, Near-Infrared |
| title | Utility of portable functional near-infrared spectroscopy (fNIRS) in patients with bipolar and unipolar disorders: A comparison with healthy controls |
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