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1.
Zhonghua Zhong Liu Za Zhi ; 41(11): 844-848, 2019 Nov 23.
Artigo em Chinês | MEDLINE | ID: mdl-31770852

RESUMO

Objective: To investigate the alterations of the cerebral resting-state spontaneous neural activity in colorectal cancer patients with depressive symptoms. Methods: Thirty-three colorectal cancer patients (patient group) with depression and 43 healthy subjects (control group) underwent the resting state functional magnetic resonance imaging (rs-fMRI). The amplitude of low-frequency fluctuations (ALFF) and fractional ALFF (fALFF) were calculated. Two independent samples t test were used to compare the ALFF and fALFF values between two groups by DPABI software, and then correlation analysis was performed between ALFF and fALFF with statistical significance and Patient Health Questionnaire (PHQ-9) scores and Generalized Anxiety Disorder (GAD-7) scores. Results: Compared with the control group, the patient group showed significantly lower ALFF and fALFF values in the bilateral precuneus, calcarine gyrus, lingual gyrus, left cuneus, superior, middle, inferior occipital gyrus and right fusiform gyrus (t=-5.730, P<0.05; t=-4.872, P<0.05). There were no significant correlations between the ALFF and fALFF values in these regions and PHQ-9 or GAD-7 scores (P>0.05). Conclusion: Spontaneous decrease of neural activity in occipital and parietal lobes exists in colorectal cancer patients with depression at resting-sate, which may be a potential neurobiological marker.


Assuntos
Encéfalo/diagnóstico por imagem , Neoplasias Colorretais/complicações , Depressão/diagnóstico por imagem , Imagem por Ressonância Magnética , Biomarcadores , Estudos de Casos e Controles , Depressão/complicações , Humanos
2.
Nat Hum Behav ; 3(12): 1306-1318, 2019 12.
Artigo em Inglês | MEDLINE | ID: mdl-31591521

RESUMO

Most psychopathological disorders develop in adolescence. The biological basis for this development is poorly understood. To enhance diagnostic characterization and develop improved targeted interventions, it is critical to identify behavioural symptom groups that share neural substrates. We ran analyses to find relationships between behavioural symptoms and neuroimaging measures of brain structure and function in adolescence. We found two symptom groups, consisting of anxiety/depression and executive dysfunction symptoms, respectively, that correlated with distinct sets of brain regions and inter-regional connections, measured by structural and functional neuroimaging modalities. We found that the neural correlates of these symptom groups were present before behavioural symptoms had developed. These neural correlates showed case-control differences in corresponding psychiatric disorders, depression and attention deficit hyperactivity disorder in independent clinical samples. By characterizing behavioural symptom groups based on shared neural mechanisms, our results provide a framework for developing a classification system for psychiatric illness that is based on quantitative neurobehavioural measures.


Assuntos
Ansiedade/diagnóstico por imagem , Encéfalo/diagnóstico por imagem , Depressão/diagnóstico por imagem , Função Executiva , Adolescente , Anisotropia , Ansiedade/fisiopatologia , Transtorno do Deficit de Atenção com Hiperatividade/diagnóstico por imagem , Transtorno do Deficit de Atenção com Hiperatividade/fisiopatologia , Encéfalo/fisiopatologia , Correlação de Dados , Depressão/fisiopatologia , Transtorno Depressivo/diagnóstico por imagem , Transtorno Depressivo/fisiopatologia , Imagem de Tensor de Difusão , Feminino , Neuroimagem Funcional , Substância Cinzenta/diagnóstico por imagem , Substância Cinzenta/patologia , Humanos , Imagem por Ressonância Magnética , Masculino , Vias Neurais/diagnóstico por imagem , Vias Neurais/fisiopatologia , Tamanho do Órgão , Substância Branca/diagnóstico por imagem , Adulto Jovem
3.
Postgrad Med ; 131(7): 533-538, 2019 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-31478419

RESUMO

Introduction: Depression in patients with mild cognitive impairment (MCI) and dementia of the Alzheimer's type (AD) is associated with worse prognosis. Indeed, depressed MCI patients have worse cognitive performance and greater loss of gray-matter volume in several brain areas. To date, knowledge of the factors that can mitigate this detrimental effect is still limited. The aim of the present study was to understand in what way cognitive reserve/brain reserve and depression interact and are linked to regional atrophy in early stage AD. Methods: Depression was evaluated with the Patient Health Questionnaire-9 in 90 patients with early AD, and a cutoff of ≥ 5 was used to separate depressed (n = 44) from non-depressed (n = 46) patients. Each group was further stratified into high/low cognitive reserve/brain reserve. Cognitive reserve was calculated using years of education as proxy, while normalized parenchymal volumes were used to estimate brain reserve. Voxel-based morphometry was carried out to extract and analyze gray-matter maps. 2 × 2 ANCOVAs were run to test the effect of the reserve-by-depression interaction on gray matter. Age and hippocampal ratio were used as covariates. Composite indices of major cognitive domains were also analyzed with comparable models. Results: No reserve-by-depression interaction was found in the analytical models of gray matter. Depression was associated with less gray matter volume in the cerebellum and parahippocampal gyrus. The brain reserve-by-depression interaction was a significant predictor of executive functioning. Among those with high brain reserve, depressed patients had poorer executive skills. No significant results were found in association with cognitive reserve. Conclusion: These findings suggest that brain reserve may modulate the association between neurodegeneration and depression in patients with MCI and dementia of the AD type, influencing in particular executive functioning.


Assuntos
Doença de Alzheimer/psicologia , Disfunção Cognitiva/psicologia , Reserva Cognitiva , Depressão/psicologia , Substância Cinzenta/diagnóstico por imagem , Idoso , Doença de Alzheimer/diagnóstico por imagem , Doença de Alzheimer/fisiopatologia , Atrofia , Encéfalo/diagnóstico por imagem , Encéfalo/patologia , Cerebelo/diagnóstico por imagem , Cerebelo/patologia , Disfunção Cognitiva/diagnóstico por imagem , Disfunção Cognitiva/fisiopatologia , Depressão/diagnóstico por imagem , Depressão/fisiopatologia , Feminino , Substância Cinzenta/patologia , Hipocampo/diagnóstico por imagem , Hipocampo/patologia , Humanos , Masculino , Pessoa de Meia-Idade , Tamanho do Órgão , Giro Para-Hipocampal/diagnóstico por imagem , Giro Para-Hipocampal/patologia , Questionário de Saúde do Paciente
4.
Comput Methods Programs Biomed ; 179: 104976, 2019 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-31443856

RESUMO

BACKGROUND AND OBJECTIVE: There has been growing interest in using functional connectivity patterns, determined from fMRI data to characterize groups of individuals exhibiting common traits. However, the present challenge lies in efficient and accurate identification of distinct patterns observed consistently across multiple subjects. Existing approaches either impose strong assumptions, require aligning images before processing, or require data-intensive machine learning algorithms with manually labeled training datasets. In this paper, we propose a more principled and flexible approach to address this. METHODS: Our approach redefines the problem of estimating the group-representative functional network as an image segmentation problem. After employing an improved clustering-based ICA scheme to pre-process the dataset of individual functional network images, we use a maximum a posteriori-Markov random field (MAP-MRF) framework to solve the image segmentation problem. In this framework, we propose a probabilistic model of the individual pixels of the fMRI data, with the model involving a latent group-representative functional network image. Given an observed dataset, we apply a novel and efficient variational Bayes algorithm to recover the associated latent group image. Our methodology seeks to overcome limitations in more traditional schemes by exploiting spatial relationships underlying the connectivity maps and accounting for uncertainty in the estimation process. RESULTS: We validate our approach using synthetic, simulated and real data. First, we generate datasets from the proposed forward model with subject-specific binary masking and measurement noise, as well as from a variant of the model without measurement noise. We use both datasets to evaluate our model, along with two algorithms: coordinate-ascent algorithm and variational Bayes algorithm. We conclude that our proposed model with variational Bayes outperforms other competitors, even under model-misspecification. Using variational Bayes offers a significant improvement in performance, with almost no additional computational overhead. We next test our approach on simulated fMRI data. We show our approach is robust to initialization and can recover a solution close to the ground truth. Finally, we apply our proposed methodology along with baselines to a real dataset of fMRI recordings of individuals from two groups, a control group and a group suffering from depression, with recordings made while individuals were subjected to musical stimuli. Our methodology is able to identify group differences that are less clear under competing methods. CONCLUSIONS: Our model-based approach demonstrates the advantage of probabilistic models and modern algorithms that account for uncertainty in accurate identification of group-representative connectivity maps. The variational Bayes methodology yields highly accurate results without increasing the computational load compared to traditional methods. In addition, it is robust to model misspecification, and increases the ability to avoid local optima in the solution.


Assuntos
Conectoma/estatística & dados numéricos , Neuroimagem Funcional/estatística & dados numéricos , Imagem por Ressonância Magnética/estatística & dados numéricos , Algoritmos , Teorema de Bayes , Análise por Conglomerados , Biologia Computacional , Simulação por Computador , Depressão/diagnóstico por imagem , Humanos , Interpretação de Imagem Assistida por Computador/estatística & dados numéricos , Processamento de Imagem Assistida por Computador/estatística & dados numéricos , Aprendizado de Máquina , Cadeias de Markov , Modelos Estatísticos
5.
Nat Neurosci ; 22(10): 1649-1658, 2019 10.
Artigo em Inglês | MEDLINE | ID: mdl-31451801

RESUMO

Comorbid depressive symptoms (CDS) in chronic pain are a common health problem, but the neural circuit mechanisms underlying these symptoms remain unclear. Here we identify a novel pathway involving 5-hydroxytryptamine (5-HT) projections from the dorsal raphe nucleus (5-HTDRN) to somatostatin (SOM)-expressing and non-SOM interneurons in the central nucleus of the amygdala (CeA). The SOMCeA neurons project directly to the lateral habenula, an area known involved in depression. Inhibition of the 5-HTDRN→SOMCeA pathway produced depression-like behavior in a male mouse model of chronic pain. Activation of this pathway using pharmacological or optogenetic approaches reduced depression-like behavior in these mice. Human functional magnetic resonance imaging data showed that compared to healthy controls, functional connectivity between the CeA-containing centromedial amygdala and the DRN was reduced in patients with CDS but not in patients in chronic pain without depression. These findings indicate that a novel 5-HTDRN→SOMCeA→lateral habenula pathway may mediate at least some aspects of CDS.


Assuntos
Dor Crônica/patologia , Depressão/patologia , Vias Neurais/patologia , Tonsila do Cerebelo/diagnóstico por imagem , Tonsila do Cerebelo/patologia , Animais , Comportamento Animal , Dor Crônica/complicações , Dor Crônica/diagnóstico por imagem , Depressão/complicações , Depressão/diagnóstico por imagem , Núcleo Dorsal da Rafe/diagnóstico por imagem , Núcleo Dorsal da Rafe/patologia , Feminino , Habenula/diagnóstico por imagem , Habenula/patologia , Humanos , Imagem por Ressonância Magnética , Masculino , Camundongos , Camundongos Endogâmicos C57BL , Vias Neurais/diagnóstico por imagem , Neuralgia/diagnóstico por imagem , Neuralgia/patologia , Optogenética , Serotonina/metabolismo , Somatostatina/metabolismo
6.
Dev Cogn Neurosci ; 39: 100700, 2019 10.
Artigo em Inglês | MEDLINE | ID: mdl-31426010

RESUMO

Major depressive disorder (MDD) often emerges during adolescence with detrimental effects on development as well as lifetime consequences. Identifying neurobiological markers that are associated with the onset or course of this disorder in childhood and adolescence is important for early recognition and intervention and, potentially, for the prevention of illness onset. In this systematic review, 68 longitudinal neuroimaging studies, from 34 unique samples, that examined the association of neuroimaging markers with onset or changes in paediatric depression published up to 1 February 2019 were examined. These studies employed different imaging modalities at baseline; structural magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), functional MRI (fMRI) or electroencephalography (EEG). Most consistent evidence across studies was found for blunted reward-related (striatal) activity (fMRI and EEG) as a potential biological marker for both MDD onset and course. With regard to structural brain measures, the results were highly inconsistent, likely caused by insufficient power to detect complex mediating effects of genetic and environmental factors in small sample sizes. Overall, there were a limited number of samples, and confounding factors such as sex and pubertal development were often not considered, whereas these factors are likely to be relevant especially in this age range.


Assuntos
Encéfalo/diagnóstico por imagem , Depressão/diagnóstico por imagem , Transtornos do Neurodesenvolvimento/diagnóstico por imagem , Neuroimagem/métodos , Adolescente , Encéfalo/fisiopatologia , Criança , Depressão/fisiopatologia , Depressão/psicologia , Imagem de Tensor de Difusão/métodos , Imagem de Tensor de Difusão/tendências , Eletroencefalografia/métodos , Eletroencefalografia/tendências , Feminino , Humanos , Estudos Longitudinais , Imagem por Ressonância Magnética/métodos , Imagem por Ressonância Magnética/tendências , Masculino , Transtornos do Neurodesenvolvimento/fisiopatologia , Transtornos do Neurodesenvolvimento/psicologia , Neuroimagem/tendências , Recompensa
9.
Acta Neurol Scand ; 140(4): 281-289, 2019 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-31265131

RESUMO

OBJECTIVES: To study the development of cognitive and emotional symptoms between 3 and 12 months after a minor stroke. MATERIAL AND METHODS: We included patients from stroke units at hospitals in the Central Norway Health Authority and from Haukeland University Hospital. We administered a selection of cognitive tests, and the patients completed a questionnaire 3 and 12 months post-stroke. Cognitive impairment was defined as impairment of ≥2 cognitive tests. RESULTS: A total of 324 patients completed the 3-month testing, whereas 37 patients were lost to follow-up at 12 months. The results showed significant improvement of cognitive function defined as impairment of ≥2 cognitive tests (P = .03) from months 3 to 12. However, most patients still showed cognitive impairment at 12 months with a prevalence of 35.4%. There is significant association between several of the cognitive tests and hypertension and smoking (P = .002 and .05). The prevalence of depression, but not anxiety, increased from 3 to 12 months (P = .04). The prevalence of fatigue did not change and was thus still high with 29.5% after 12 months. CONCLUSIONS: This study shows that an improvement of cognitive function still occurs between 3 and 12 months. Despite this, the prevalence of mostly minor cognitive impairment still remains high 12 months after the stroke. The increasing prevalence of depressive symptoms highlights the importance of being vigilant of depressive symptoms throughout the rehabilitation period. Furthermore, high prevalence of fatigue persisted.


Assuntos
Ansiedade/epidemiologia , Disfunção Cognitiva/epidemiologia , Depressão/epidemiologia , Fadiga/epidemiologia , Acidente Vascular Cerebral/epidemiologia , Adulto , Idoso , Ansiedade/diagnóstico por imagem , Ansiedade/psicologia , Disfunção Cognitiva/diagnóstico por imagem , Disfunção Cognitiva/psicologia , Estudos de Coortes , Depressão/diagnóstico por imagem , Depressão/psicologia , Fadiga/diagnóstico por imagem , Fadiga/psicologia , Feminino , Humanos , Estudos Longitudinais , Masculino , Pessoa de Meia-Idade , Noruega/epidemiologia , Acidente Vascular Cerebral/diagnóstico por imagem , Acidente Vascular Cerebral/psicologia
10.
Neurology ; 93(1): e52-e58, 2019 07 02.
Artigo em Inglês | MEDLINE | ID: mdl-31167934

RESUMO

OBJECTIVE: To assess by magnetic resonance spectroscopy (MRS) the N-acetylaspartate, myo-inositol, choline, sum of glutamate and glutamine (Glx), and creatine (Cr) content in the anterior cingulate cortex (ACC)/medial prefrontal cortex (mPFC) and in the occipital cortex (OCC) (control region) in patients with functional motor symptoms (FMS) and healthy controls, and to determine whether neurochemical limbic changes as estimated by MRS correlate with FMS-related motor symptom severity, alexithymia, anxiety, depression, and quality of life. METHODS: This case-control study enrolled 10 patients with FMS and 10 healthy controls. Participants underwent MRS and were tested with the Mini-Mental State Examination, Hamilton Depression Rating Scale, Hamilton Anxiety Rating Scale, 20-Item Toronto Alexithymia Scale, and EuroQol 5D. RESULTS: In patients with FMS, MRS showed increased Glx/Cr in the ACC/mPFC but normal content in the control OCC. All the other metabolites tested were normal in both regions. The increased Glx/Cr content in the ACC/mPFC correlated with alexithymia, anxiety, and severity of symptoms. CONCLUSIONS: The abnormal limbic Glx increase could have a crucial pathophysiologic role in FMS, possibly by altering limbic-motor interactions, ultimately leading to abnormal movements.


Assuntos
Sistema Límbico/diagnóstico por imagem , Sistema Límbico/metabolismo , Espectroscopia de Ressonância Magnética , Transtornos dos Movimentos/diagnóstico por imagem , Transtornos dos Movimentos/metabolismo , Adulto , Sintomas Afetivos/diagnóstico por imagem , Sintomas Afetivos/metabolismo , Ansiedade/diagnóstico por imagem , Ansiedade/metabolismo , Estudos de Casos e Controles , Creatina/metabolismo , Depressão/diagnóstico por imagem , Depressão/metabolismo , Feminino , Ácido Glutâmico/metabolismo , Glutamina/metabolismo , Humanos , Imagem por Ressonância Magnética , Masculino , Pessoa de Meia-Idade , Transtornos dos Movimentos/psicologia , Qualidade de Vida , Índice de Gravidade de Doença
11.
Continuum (Minneap Minn) ; 25(3): 753-772, 2019 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-31162315

RESUMO

PURPOSE OF REVIEW: This article discusses the prevalence, identification, and management of multiple sclerosis (MS)-related symptoms and associated comorbidities, including complications that can present at all stages of the disease course. RECENT FINDINGS: The impact of comorbidities on the outcome of MS is increasingly recognized. This presents an opportunity to impact the course and outcome of MS by identifying and treating associated comorbidities that may be more amenable to treatment than the underlying inflammatory and neurodegenerative disease. The identification of MS-related symptoms and comorbidities is facilitated by brief screening tools, ideally completed by the patient and automatically entered into the patient record, with therapeutic suggestions for the provider. The development of free, open-source screening tools that can be integrated with electronic health records provides opportunities to identify and treat MS-related symptoms and comorbidities at an early stage. SUMMARY: Identification and management of MS-related symptoms and comorbidities can lead to improved outcomes, improved quality of life, and reduced disease activity. The use of brief patient-reported screening tools at or before the point of care can facilitate identification of symptoms and comorbidities that may be amenable to intervention.


Assuntos
Gerenciamento Clínico , Esclerose Múltipla/diagnóstico por imagem , Esclerose Múltipla/tratamento farmacológico , Neuromielite Óptica/diagnóstico por imagem , Neuromielite Óptica/tratamento farmacológico , Anticonvulsivantes/administração & dosagem , Carbamazepina/administração & dosagem , Disfunção Cognitiva/diagnóstico por imagem , Disfunção Cognitiva/tratamento farmacológico , Disfunção Cognitiva/epidemiologia , Comorbidade , Depressão/diagnóstico por imagem , Depressão/tratamento farmacológico , Depressão/epidemiologia , Feminino , Humanos , Pessoa de Meia-Idade , Esclerose Múltipla/epidemiologia , Doenças Neurodegenerativas/diagnóstico por imagem , Doenças Neurodegenerativas/tratamento farmacológico , Doenças Neurodegenerativas/epidemiologia , Neuromielite Óptica/epidemiologia
12.
Psychiatry Res Neuroimaging ; 289: 1-9, 2019 07 30.
Artigo em Inglês | MEDLINE | ID: mdl-31102892

RESUMO

Understanding the neural correlates of social interaction among depressed adolescents with suicidal tendencies might help personalize treatment. We tested whether brain function during social interaction is disrupted for depressed adolescents with (1) high suicide ideation and (2) recent attempts. Depressed adolescents with high suicide ideation, including attempters (n = 45;HS) or low suicide ideation (n = 42;LS), and healthy adolescents (n = 39;HC), completed a version of the Cyberball peer interaction task during an fMRI scan. Groups were compared on brain activity during peer exclusion and inclusion versus a non-social condition. During peer exclusion and inclusion, HS youth showed significantly lower activity in precentral and postcentral gyrus, superior temporal gyrus, medial frontal gyrus, insula, and putamen compared to LS youth; and significantly reduced activity in caudate and anterior cingulate cortex compared to HC youth. In a second analysis, suicide attempters (n = 26;SA) were compared to other groups. SA adolescents showed significantly higher activity in ACC and superior and middle frontal gyrus than all other groups. Brain activity was significantly correlated with negative emotionality, social functioning, and cognitive control. Conclusions: Adolescent suicide ideation and attempts were linked to altered neural function during positive and negative peer interactions. We discuss the implications of these findings for suicide prevention efforts.


Assuntos
Comportamento do Adolescente/fisiologia , Córtex Cerebral/fisiopatologia , Depressão/fisiopatologia , Relações Interpessoais , Neostriado/fisiopatologia , Grupo Associado , Distância Social , Ideação Suicida , Tentativa de Suicídio , Adolescente , Córtex Cerebral/diagnóstico por imagem , Depressão/diagnóstico por imagem , Feminino , Humanos , Imagem por Ressonância Magnética , Masculino , Neostriado/diagnóstico por imagem
13.
J Headache Pain ; 20(1): 53, 2019 May 15.
Artigo em Inglês | MEDLINE | ID: mdl-31092190

RESUMO

BACKGROUND: Brainstem raphe (BR) hypoechogenicity in transcranial sonography (TCS) has been depicted in patients with major depression (MD) and in depressed patients with different neurodegenerative diseases. But, up to date, the association of BR alterations in TCS with depression in migraineurs has never been reported. This study was to investigate the possible role of BR examination via TCS in migraineurs with depression. METHODS: Forty two migraine without aura (MwoA) patients and 40 healthy controls were recruited. Echogenicity of lentiform nuclei (LN), caudate nuclei (CN), substantia nigra (SN) and brainstem raphe (BR) and width of the frontal horns of the lateral ventricles and the third ventricle were assessed with TCS. The diagnosis of depression was based on the criteria of the Diagnostic and Statistical Manual of Mental Disorders IV (DSM -IV), and the severity of depression was measured by Hamilton Rating Scale for Depression (HAM-D) and Hospital Anxiety and Depression Scale depression subscale (HADS-D). RESULTS: There were no significant differences between migraineurs and controls in the width of frontal horn of the lateral ventricle (p = 0.955), width of third ventricle (p = 0.129) as well as in the echogenicity of SN (p = 0.942), CN (p = 0.053), LN (p = 0.052) and BR (p = 0.677). Here, it seems that more migraineurs were detected with increased echogenecity of CN and LN compared with controls (33.3% versus 15.0% for CN, 19.0% versus 5.0% for LN) though they had no statistical significance. Patients with hypoechogenic BR had significantly higher HAM-D and HADS-D scores than those with normal BR signal (p = 0.000 for both HAM-D and HADS-D), and most (83.33%) migraineurs with depression exhibited hypoechogenic raphe but none (0.00%) of the migraineurs without depression exhibited hypoechogenic raphe (p = 0.000). CONLUSIONS: TCS signal alteration of BR can be a biomarker for depression in migraine but it is not associated with migraine headache itself. LN and CN alterations in TCS may reflect a potential role of them in the pathogenesis of migraine, which needs to be further elucidated.


Assuntos
Transtorno Depressivo/diagnóstico por imagem , Transtorno Depressivo/patologia , Transtornos de Enxaqueca/diagnóstico por imagem , Transtornos de Enxaqueca/patologia , Núcleos da Rafe/diagnóstico por imagem , Núcleos da Rafe/patologia , Adulto , Estudos de Casos e Controles , Depressão/diagnóstico por imagem , Depressão/patologia , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Substância Negra/diagnóstico por imagem , Substância Negra/patologia , Ultrassonografia Doppler Transcraniana , Adulto Jovem
14.
Z Kinder Jugendpsychiatr Psychother ; 47(6): 535-541, 2019 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-30957688

RESUMO

Depressive symptoms have long been associated with abnormalities in neural processing of reward. However, no review has yet consolidated evidence of such deficits in adolescent depression, integrating findings across neuroimaging modalities, such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). The current review found consistent evidence of reduced striatal responses in anticipation and upon receipt of rewards, and blunted feedback-related negativity (FRN) potentials associated with depression in adolescence, consistent with the adult literature. Furthermore, while these occurred in currently depressed adolescents, they were also found to be predictive of the onset of depressive symptoms in longitudinal studies with community-based adolescent samples. This paper makes recommendations for future work to continue to elucidate this relationship, a greater understanding of which may lead to more targeted and efficacious treatments for depression in adolescence.


Assuntos
Depressão/diagnóstico por imagem , Depressão/fisiopatologia , Transtorno Depressivo/diagnóstico por imagem , Transtorno Depressivo/fisiopatologia , Eletroencefalografia , Imagem por Ressonância Magnética , Neuroimagem , Recompensa , Adolescente , Depressão/psicologia , Transtorno Depressivo/psicologia , Humanos
15.
BMJ Case Rep ; 12(3)2019 Mar 04.
Artigo em Inglês | MEDLINE | ID: mdl-30837231

RESUMO

The objective of this article is to describe the possible association of catatonia and temporal brain lesions. This is a case presentation of a 57-year-old man presenting with depression, with catatonia secondary to a temporal glioblastoma. He was referred to hospital because for a sudden deterioration in depressed state. He was diagnosed with catatonia and treated successfully with lorazepam. During his admission, he became increasingly disinhibited, and an MRI scan revealed an intracranial mass in the right temporal lobe, with uncal herniation and a mass effect. Surgical resection of the entire tumour was successful. Histological examination revealed a glioblastoma multiforme requiring additional chemoradiotherapy. Postoperatively, catatonic signs and symptoms were not detectable. A postsurgical frontal syndrome with disinhibition and logorrhoea was present and gradually normalised over the course of several weeks. Catatonia can be the presenting symptom of a temporal brain tumour, and should therefore prompt the physician to a thorough medical investigation.


Assuntos
Ansiolíticos/uso terapêutico , Catatonia/diagnóstico por imagem , Depressão/diagnóstico por imagem , Glioblastoma/diagnóstico por imagem , Lorazepam/uso terapêutico , Imagem por Ressonância Magnética , Catatonia/etiologia , Catatonia/terapia , Quimioterapia Adjuvante , Depressão/etiologia , Depressão/terapia , Glioblastoma/complicações , Glioblastoma/terapia , Humanos , Masculino , Pessoa de Meia-Idade , Resultado do Tratamento
16.
J Headache Pain ; 20(1): 29, 2019 Mar 25.
Artigo em Inglês | MEDLINE | ID: mdl-30909865

RESUMO

OBJECTIVE: To investigate the whole-brain resting-state functional connectivity in patients with chronic migraine (CM) using a data-driven method. METHODS: We prospectively recruited patients with either episodic migraine (EM) or CM aged 18-60 years who visited the headache clinic of the Samsung Medical Center from July 2016 to December 2017. All patients underwent 3 T MRI using an identical scanner. Patients were considered interictal if they did not have a migraine headache at the day and ± 1 days of functional MRI acquisition. Using the group-independent component analysis (ICA), connectivity analysis with a weighted and undirected network model was performed. The between-group differences in degree centrality (DC) values were assessed using 5000 permutation tests corrected with false discovery rate (FDR). RESULTS: A total of 62 patients (44 EM and 18 CM) were enrolled in this study. Among the seven functionally interpretable spatially independent components (ICs) identified, only one IC, interpreted as the pain matrix, showed a significant between-group difference in DC (CM > EM, p = 0.046). This association remained significant after adjustment for age, sex, migraine with aura (MWA), allodynia, depression, and anxiety (p = 0.038). The pain matrix was functionally correlated with the hypothalamus (p = 0.040, EM > CM) and dorsal raphe nucleus (p = 0.039, CM > EM) with different levels of strength in EM and CM. CONCLUSION: CM patients have a stronger connectivity in the pain matrix than do EM patients. Functional alteration of the pain network might play a role in migraine chronification.


Assuntos
Ansiedade/diagnóstico por imagem , Encéfalo/diagnóstico por imagem , Dor Crônica/diagnóstico por imagem , Imagem por Ressonância Magnética/métodos , Transtornos de Enxaqueca/diagnóstico por imagem , Rede Nervosa/diagnóstico por imagem , Adulto , Ansiedade/fisiopatologia , Encéfalo/fisiopatologia , Dor Crônica/fisiopatologia , Depressão/diagnóstico por imagem , Depressão/fisiopatologia , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Transtornos de Enxaqueca/fisiopatologia , Rede Nervosa/fisiopatologia , Adulto Jovem
17.
Neural Plast ; 2019: 2981764, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-30728833

RESUMO

Depressive symptoms are common in individuals with mild cognitive impairment (MCI) who have an increased risk of dementia. It is currently unclear whether the pattern of spontaneous brain activity in patients with MCI differs between subjects with and without depressive symptoms. The current study sought to investigate the features of spontaneous brain activity in MCI patients with depressive symptoms (D-MCI) using coherence regional homogeneity (CReHo) analysis with resting-state functional magnetic resonance imaging (rsfMRI). We obtained rsfMRI data in 16 MCI patients with depressive symptoms and 18 nondepressed MCI patients (nD-MCI) using a 3 T scanner. Statistical analyses were performed to determine the regions in which ReHo differed between the two groups in specific frequency bands, slow-4 (0.027-0.073 Hz) and slow-5 (0.010-0.027 Hz), and typical bands (0.01-0.08 Hz). Correlation analyses were performed between the CReHo index of these regions and clinical variables to evaluate the relationship between CReHo and pathophysiological measures in the two groups. Our results showed that D-MCI patients exhibited significantly higher CReHo in the left Heschl's gyrus and left thalamus and lower CReHo in the left postcentral gyrus in the typical frequency band. In the slow-4 frequency band, D-MCI patients showed significantly higher CReHo in the left Heschl's gyrus and left thalamus. In the slow-5 frequency band, D-MCI patients exhibited significantly lower CReHo in the superior medial prefrontal gyrus. In addition, the results revealed that CReHo values in the left thalamus were positively correlated with Hamilton Depression Rating Scale (HAMD) scores in D-MCI patients. These results suggest that the sensorimotor network may be one of the main pathophysiological factors in D-MCI.


Assuntos
Encéfalo/diagnóstico por imagem , Disfunção Cognitiva/diagnóstico por imagem , Depressão/diagnóstico por imagem , Idoso , Encéfalo/fisiopatologia , Mapeamento Encefálico , Disfunção Cognitiva/complicações , Disfunção Cognitiva/fisiopatologia , Depressão/complicações , Depressão/fisiopatologia , Feminino , Humanos , Imagem por Ressonância Magnética , Masculino , Pessoa de Meia-Idade
18.
Med Sci Monit ; 25: 1046-1052, 2019 Feb 07.
Artigo em Inglês | MEDLINE | ID: mdl-30729958

RESUMO

BACKGROUND Depression is one of the most important factors affecting quality of life in Parkinson's patients. Most research on Parkinson's disease with depression has focused on neuroimaging, and there have been few quantitative electroencephalogram studies. Sleep is a biomarker for depression; therefore, the aim of this study was to identify differences in quantitative electroencephalograms during sleep in depressed and non-depressed patients with Parkinson's disease. MATERIAL AND METHODS We assessed 38 Parkinson's disease patients (26 depressed patients, 12 non-depressed patients) and 20 normal subjects using the Geriatric Depressive Scale for Depressive Symptoms and quantitative electroencephalogram analysis of amplitude of different frequency bands in different sleep stages using Met-lab software and Fast Fourier Transformation. RESULTS Non-rapid eye moment 2 and the Frontal 4 Electrode amplitude in the delta and theta ranges were progressively and significantly greater in the depressed-Parkinson's disease group (p<0.05) than in the control group. In the depressed Parkinson's disease group, from the comparison of non-rapid eye moment 2 and rapid eye moment, in Frontal 4 the amplitude in the delta ranges of non-rapid eye moment 2 was greater than in the non-depressed group, and in Central 3, Central 4, Occipital 1, and Occipital 2, the amplitudes in the beta ranges of rapid eye moment were greater (p<0.05) than in the non-depressed group. CONCLUSIONS The higher amplitude in theta in frontal areas in NREM2 and the higher amplitude in beta in parietal and occipital lobe areas in REM relative to NREM2 were significantly different in depressed and non-depressed patients with Parkinson's disease.


Assuntos
Depressão/fisiopatologia , Eletroencefalografia/métodos , Doença de Parkinson/fisiopatologia , Idoso , Estudos de Casos e Controles , Depressão/diagnóstico por imagem , Transtorno Depressivo/diagnóstico por imagem , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Doença de Parkinson/complicações , Doença de Parkinson/diagnóstico por imagem , Qualidade de Vida , Sono/fisiologia , Fases do Sono , Vigília
19.
Neurology ; 92(11): e1157-e1167, 2019 03 12.
Artigo em Inglês | MEDLINE | ID: mdl-30737341

RESUMO

OBJECTIVE: To investigate whether white matter network disruption underlies the pathogenesis of apathy, but not depression, in cerebral small vessel disease (SVD). METHODS: Three hundred thirty-one patients with SVD from the Radboud University Nijmegen Diffusion Tensor and Magnetic Resonance Cohort (RUN DMC) study completed measures of apathy and depression and underwent structural MRI. Streamlines reflecting underlying white matter fibers were reconstructed with diffusion tensor tractography. First, path analysis was used to determine whether network measures mediated associations between apathy and radiologic markers of SVD. Next, we examined differences in whole-brain network measures between participants with only apathy, only depression, and comorbid apathy and depression and a control group free of neuropsychiatric symptoms. Finally, we examined regional network differences associated with apathy. RESULTS: Path analysis demonstrated that network disruption mediated the relationship between apathy and SVD markers. Patients with apathy, compared to all other groups, were impaired on whole-brain measures of network density and efficiency. Regional network analyses in both the apathy subgroup and the entire sample revealed that apathy was associated with impaired connectivity in premotor and cingulate regions. CONCLUSIONS: Our results suggest that apathy, but not depression, is associated with white matter tract disconnection in SVD. The subnetworks delineated suggest that apathy may be driven by damage to white matter networks underlying action initiation and effort-based decision making.


Assuntos
Apatia , Doenças de Pequenos Vasos Cerebrais/diagnóstico por imagem , Depressão/diagnóstico por imagem , Substância Branca/diagnóstico por imagem , Idoso , Doenças de Pequenos Vasos Cerebrais/psicologia , Depressão/psicologia , Imagem de Tensor de Difusão , Feminino , Humanos , Imagem por Ressonância Magnética , Masculino , Pessoa de Meia-Idade , Vias Neurais/diagnóstico por imagem
20.
PLoS One ; 14(2): e0211699, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-30742647

RESUMO

Depression is one of the most common and important neuropsychiatric symptoms in Parkinson's disease and often becomes worse as Parkinson's disease progresses. However, the underlying mechanisms of depression in Parkinson's disease are not clear. The aim of our study was to find genetic features related to depression in Parkinson's disease using an imaging genetics approach and to construct an analytical model for predicting the degree of depression in Parkinson's disease. The neuroimaging and genotyping data were obtained from an openly accessible database. We computed imaging features through connectivity analysis derived from tractography of diffusion tensor imaging. The imaging features were used as intermediate phenotypes to identify genetic variants according to the imaging genetics approach. We then constructed a linear regression model using the genetic features from imaging genetics approach to describe clinical scores indicating the degree of depression. As a comparison, we constructed other models using imaging features and genetic features based on references to demonstrate the effectiveness of our imaging genetics model. The models were trained and tested in a five-fold cross-validation. The imaging genetics approach identified several brain regions and genes known to be involved in depression, with the potential to be used as meaningful biomarkers. Our proposed model using imaging genetic features predicted and explained the degree of depression in Parkinson's disease appropriately (adjusted R2 larger than 0.6 over five training folds) and with a lower error and higher correlation than with other models over five test folds.


Assuntos
Depressão/etiologia , Doença de Parkinson/complicações , Encéfalo/diagnóstico por imagem , Depressão/diagnóstico por imagem , Depressão/genética , Feminino , Marcadores Genéticos , Genótipo , Humanos , Modelos Lineares , Imagem por Ressonância Magnética , Masculino , Pessoa de Meia-Idade , Neuroimagem , Doença de Parkinson/diagnóstico por imagem , Doença de Parkinson/genética , Doença de Parkinson/psicologia , Polimorfismo de Nucleotídeo Único/genética , Índice de Gravidade de Doença
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