|
|
Study on cognitive function and fractional amplitude of low frequency fluctuation in patients with bipolar depression |
LYU Lanlan ZHANG Rongrong YAN Wei NI Longyan PENG Xiaohui XIE Shiping |
The Second Department of Psychiatry, Brain Hospital Affiliated to Nanjing Medical University, Jiangsu Province, Nanjing 210029, China |
|
|
Abstract Objective To investigate the characteristics and correlation of cognitive function and the fractional amplitude of low frequency fluctuation (fALFF) in patients with bipolar depression. Methods From December 2017 to March 2019, 26 patients with bipolar depression who were treated in the Brain Hospital Affiliated to Nanjing Medical University were selected as the bipolar depression group, and 26 well-matched healthy people with gender, age and education level were recruited as the control group. All subjects were assessed for cognitive function and received MRI scans to collect resting state MRI data and obtain fALFF values. Correlation analysis were performed between fALFF values of significant brain regions and cognitive function in bipolar depression patients. Results Compared with the control group, the speed of processing, working memory, reasoning and problem solving, visual learning, attention/vigilance in the bipolar depression group performed poorly (all P < 0.05). The fALFF values of the bipolar depression group increased significantly in the left postcentral gyrus, the left precentral gyrus, the right postecentral gyrus, the left inferior parietal lobule, the right superior temporal gyrus, the right opercular part of inferior frontal gyrus and the right precuneus (all P < 0.005, TFCE corrected). The fALFF value of the left precentral gyrus in the bipolar depression group was positively correlated with category fluency (r = 0.73, TFCE corrected). Conclusion Cognitive dysfunction in most cognitive fields and abnormal neurological activity in multiple brain regions exist in the bipolar depression group, and abnormal neurological activity in specific brain regions is related to neurocognitive performance.
|
|
|
|
|
[1] Radua J,Grunze H,Amann BL. Meta-Analysis of the Risk of Subsequent Mood Episodes in Bipolar Disorder [J]. Psychother Psychosom,2017,86(2):90-98.
[2] Grande I,Berk M,Birmaher B,et al. Bipolar disorder [J]. Lancet,2016,387(10 027):1561-1572.
[3] Sylvia LG,Montana RE,Deckersbach T,et al. Poor quality of life and functioning in bipolar disorder [J]. Int J Bipolar Disord,2017,5(1):10.
[4] Wiggins JL,Brotman MA,Adleman NE,et al. Neural Markers in Pediatric Bipolar Disorder and Familial Risk for Bipolar Disorder [J]. J Am Acad Child Adolesc Psychiatry,2017,56(1):67-78.
[5] American Psychiatric Association. Diagnostic and statistical manual of mental disorders(DSM-IV-TR)[M]. American Psychiatric Association,2000.
[6] Hamilton MAX. A rating scale for depression [J]. J Neurol Neurosurg Psychiatry,1960,23(1):56-62.
[7] Young RC,Biggs JT,Ziegler VE,et al. A rating scale for mania:reliability,validity and sensitivity [J]. Br J Psychiatry,1978,133:429-435.
[8] Shi C,Kang L,Yao S,et al. What is the optimal neuropsychological test battery for schizophrenia in China? [J]. Schizophr Res,2019,208:317-323. Epub 2019 Feb 1.
[9] Zou QH,Zhu CZ,Yang Y,et al. An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI:fractional ALFF [J]. J Neurosci Methods,2008,172(1):137-141.
[10] Bo Q,Mao Z,Li X,et al. Use of the MATRICS consensus cognitive battery(MCCB)to evaluate cognitive deficits in bipolar disorder:A systematic review and meta-analysis [J]. PLoS One,2017,12(4):e0 176 212.
[11] Xu G,Lin K,Rao D,et al. Neuropsychological performance in bipolar Ⅰ,bipolar Ⅱ and unipolar depression patients:a longitudinal,naturalistic study [J]. J Affect Disord,2012, 136(3):328-339.
[12] Antila M,Kieseppa T,Partonen T,et al. The effect of processing speed on cognitive functioning in patients with familial bipolar I disorder and their unaffected relatives [J]. Psychopathology,2011,44(1):40-45.
[13] Liu Y,Wu X,Zhang J,et al. Altered effective connectivity model in the default mode network between bipolar and unipolar depression based on resting-state fMRI [J]. J Affect Disord,2015,182:8-17.
[14] 张鹏,徐婷婷,陆邵佳,等.双相障碍Ⅱ型抑郁患者静息态磁共振低频振幅和功能连接分析[J].中华精神科杂志,2018,51(2):105-112.
[15] Samudra N,Ivleva EI,Hubbard NA,et al. Alterations in hippocampal connectivity across the psychosis dimension [J]. Psychiatry Res,2015,233(2):148-157.
[16] Yamamura T,Okamoto Y,Okada G,et al. Association of thalamic hyperactivity with treatment-resistant depression and poor response in early treatment for major depression:a resting-state fMRI study using fractional amplitude of low-frequency fluctuations [J]. Transl Psychiatry,2016,6:e754.
[17] 沈婷,应时辉,Mellor D,等.双相障碍抑郁发作患者静息态脑功能特征[J].中华精神科杂志,2018,51(4):242-246.
[18] Aron AR,Robbins TW,Poldrack RA. Inhibition and the right inferior frontal cortex:one decade on [J]. Trends Cogn Sci,2014,18(4):177-185.
[19] Kravitz DJ,Saleem KS,Baker CI,et al. A new neural framework for visuospatial processing [J]. Nat Rev Neurosci,2011,12(4):217-230.
[20] 何小婷.抑郁首发双相障碍的静息态fMRI研究[D].太原:山西医科大学,2017.
[21] Shimizu Y,Yoshimoto J,Toki S,et al. Toward Probabilistic Diagnosis and Understanding of Depression Based on Functional MRI Data Analysis with Logistic Group LASSO [J]. PLoS One,2015,10(5):e 123 524.
[22] Heath S,McMahon KL,Nickels L,et al. Neural mechanisms underlying the facilitation of naming in aphasia using a semantic task:an fMRI study [J]. BMC Neurosci,2012,13:98.
[23] 林啸,方贻儒,陈俊,等.双相障碍伴焦虑症状患者的脑磁共振影像学研究进展[J].医学综述,2018,24(23):4726-4730. |
|
|
|