Neuroscience AppliedPub Date : 2026-01-01Epub Date: 2026-02-13DOI: 10.1016/j.nsa.2026.106984
Aicha Bouzouina , Marius Gruber , Tong Zhao , Carmen Schiweck , Mareike Aichholzer , Carmen Uckermark , Luise V. Claaß , Frederike Stein , Nils R. Winter , Susanne Meinert , Kira Flinkenflügel , Dominik Grotegerd , Janik Goltermann , Tiana Borgers , Elisabeth Leehr , Linda Bonnekoh , Florian Thomas-Odenthal , Marc Pawlitzki , Paula Usemann , Lea Teutenberg , Sharmili Edwin Thanarajah
{"title":"Weight matters: Higher BMI is associated with changes in the brain connectome in health and depression","authors":"Aicha Bouzouina , Marius Gruber , Tong Zhao , Carmen Schiweck , Mareike Aichholzer , Carmen Uckermark , Luise V. Claaß , Frederike Stein , Nils R. Winter , Susanne Meinert , Kira Flinkenflügel , Dominik Grotegerd , Janik Goltermann , Tiana Borgers , Elisabeth Leehr , Linda Bonnekoh , Florian Thomas-Odenthal , Marc Pawlitzki , Paula Usemann , Lea Teutenberg , Sharmili Edwin Thanarajah","doi":"10.1016/j.nsa.2026.106984","DOIUrl":"10.1016/j.nsa.2026.106984","url":null,"abstract":"<div><div>Overweight and obesity are bidirectionally associated with major depressive disorder (MDD). However, the underlying mechanisms remain unknown. Here, we investigated whether the body mass index (BMI) is associated with alterations in the structural brain connectome of healthy participants and MDD patients and if these changes in connectivity are associated with clinical outcomes. We analyzed the association of BMI with structural brain connectivity in 746 MDD patients and 852 healthy controls from the Marburg-Münster Affective Disorders Cohort Study (MACS). The structural connectome was reconstructed using tractography in diffusion-weighted magnetic resonance imaging data. Associations between BMI brain connectivity were examined using network-based statistics (NBS). NBS identified a subnetwork of the brain connectome associated with BMI (<em>F</em>-threshold = 4.0, <em>p</em><sub>FWE</sub> < 0.05). The number of streamlines within this network were positively correlated with BMI (<em>β</em> = 56.122, SE = 5.50, <em>t</em> = 10.204, <em>p</em> < 0.001, R<sup>2</sup> = 0.206), suggesting that an increase in BMI is linked to enhanced connectivity within the network. This association did not differ between healthy controls and MDD patients. BMI was further associated with depression severity (<span><math><mrow><mi>τ</mi></mrow></math></span><sub>BDI</sub> = 0.052, <em>p</em> = 0.002) and anhedonia (<span><math><mrow><mi>τ</mi></mrow></math></span><sub>SHAPS-D</sub> = 0.035, <em>p</em> = 0.034) across all participants, independent of diagnostic status. However, after controlling for BMI, connectivity within the BMI-associated subnetwork was not related to depression severity or anhedonia, suggesting that BMI-related brain connectivity alterations do not independently explain clinical symptom severity. Our findings reveal an association between BMI and structural brain connectivity, both in healthy controls and MDD patients. These findings indicate that increased body weight has a significant association with the brain structural connectome.</div></div>","PeriodicalId":100952,"journal":{"name":"Neuroscience Applied","volume":"5 ","pages":"Article 106984"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147395675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Neuroscience AppliedPub Date : 2026-01-01Epub Date: 2026-02-12DOI: 10.1016/j.nsa.2026.106989
Ivan Marniquet, Juliette Dupont-Viratelle, Flavie Crespo, Alexandra Séré, Sophie Layé, Jean-Christophe Delpech
{"title":"Balanced polyunsaturated fatty acids diet prevents the D-galactose-induced neuroinflammation and cognitive impairments","authors":"Ivan Marniquet, Juliette Dupont-Viratelle, Flavie Crespo, Alexandra Séré, Sophie Layé, Jean-Christophe Delpech","doi":"10.1016/j.nsa.2026.106989","DOIUrl":"10.1016/j.nsa.2026.106989","url":null,"abstract":"<div><div>The rapid increase of the population aged 65 and over is associated with a higher prevalence of people suffering from cognitive functions alterations. Those impairments are partly due to environmental risk factors such as nutrition. In this context, nutrition, and more specifically the ratio of n-6/n-3 polyunsaturated fatty acids (n-6/n-3 PUFAs), has been extensively studied in relation to cognitive impairment and showed a potential beneficial effect on cognitive decline during aging. Clinical epidemiological studies showed a positive association between the n-3 PUFA consumption and cognitive abilities during aging. Preclinical studies have also demonstrated that dietary n-3 PUFA deficiency disrupts spatial memory, and induces alterations in neuronal functions and increased neuroinflammation, whereas dietary n-3 PUFA supplementation had beneficial effects on cognitive abilities and neuroinflammation in aged mice.</div><div>Here we showed that a balanced n-6/n-3 PUFAs precursors diet is sufficient to prevent the induction of accelerated aging characteristics such as contextual memory deficits, the altered emotionality status as well as the increased hippocampal neuroinflammation induced by D-galactose injections in mice, involving the activation of the AGE-RAGE pathway.</div><div>These results highlight the protective effects of a balanced n-6/n-3 PUFAs precursors on accelerated aging induced inflammatory, cognitive and emotional-like alterations.</div></div>","PeriodicalId":100952,"journal":{"name":"Neuroscience Applied","volume":"5 ","pages":"Article 106989"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147313891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Neuroscience AppliedPub Date : 2026-01-01Epub Date: 2025-12-01DOI: 10.1016/j.nsa.2025.106877
Stefano Pini , Daniela Tramontano , Benedetta Nardi , Laura Palagini , Barbara Milrod , David S. Baldwin , Katharina Domschke , Miriam Schiele , Chiara Bonelli , Federico Giovannoni , Gabriele Massimetti , Liliana Dell’Osso , Barbara Carpita
{"title":"Adult separation anxiety and insomnia symptoms in individuals with mood and anxiety disorders","authors":"Stefano Pini , Daniela Tramontano , Benedetta Nardi , Laura Palagini , Barbara Milrod , David S. Baldwin , Katharina Domschke , Miriam Schiele , Chiara Bonelli , Federico Giovannoni , Gabriele Massimetti , Liliana Dell’Osso , Barbara Carpita","doi":"10.1016/j.nsa.2025.106877","DOIUrl":"10.1016/j.nsa.2025.106877","url":null,"abstract":"<div><div>The Diagnostic and Statistical Manual for Mental disorder (DSM-5) identifies severe sleep disruption as one of the clinical features and diagnostic criteria for Separation Anxiety Disorder (SAD), with one diagnostic criterion being a persistent reluctance or refusal to sleep away from home or to go to sleep without being near a central attachment figure. While SAD is commonly associated with childhood, it can also present in adulthood (A-SAD), especially in individuals with mood and anxiety disorders. During this phase of an individual's life, A-SAD may prominently interfere with daily activities, as well as with sleep. This study aims to evaluate the impact of symptoms of SAD on sleep in a large cohort of patients with mood and anxiety disorders. A total of 404 consecutively recruited outpatients with mood or anxiety disorders were assessed with the Structured Clinical Interview for Separation Anxiety Disorder (SCI-SAS), the Adult Separation Anxiety (ASA-27), and the Hamilton Rating Scales for Depression (HAM–D) and Anxiety (HAM-A). Insomnia symptom scores were calculated using nine items that encompass the definition of sleep disturbances from the Mood Spectrum–Self Report (MOODS-SR). Overall, 91 patients were diagnosed with A-SAD only, 33 with childhood-onset SAD (C-SAD), 79 with both A-SAD and C-SAD, and 201 had no history of SAD. No significant differences were found in HAM-A and HAM-D scores between the four groups, nor in the frequency of their primary diagnosis (anxiety disorders, major depression, or bipolar disorder). However, sleep disturbance scores were significantly higher in participants with A-SAD, with or without C-SAD, compared to only C-SAD or no SAD. Regression analyses revealed that ASA-27 total score was a significant predictor of sleep disturbances (p < .002), while HAM-A and HAM-D scores were not. While sleep disturbances are often linked to anxiety and depressive symptoms, these findings suggest that adult separation anxiety contributes independently to sleep impairment in individuals with mood and anxiety disorders. This highlights the importance of assessing and addressing separation anxiety in clinical practice when treating sleep-related complaints in this population.</div></div>","PeriodicalId":100952,"journal":{"name":"Neuroscience Applied","volume":"5 ","pages":"Article 106877"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145652073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Neuroscience AppliedPub Date : 2026-01-01Epub Date: 2026-05-20DOI: 10.1016/j.nsa.2026.106888
A.M. Fernandes
{"title":"The silent taboo: The effect of patient suicide on psychiatrists","authors":"A.M. Fernandes","doi":"10.1016/j.nsa.2026.106888","DOIUrl":"10.1016/j.nsa.2026.106888","url":null,"abstract":"","PeriodicalId":100952,"journal":{"name":"Neuroscience Applied","volume":"5 ","pages":"Article 106888"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147991237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Neuroscience AppliedPub Date : 2026-01-01Epub Date: 2026-05-20DOI: 10.1016/j.nsa.2026.106890
T. Rietberg , S. Barbosa , P. Meysman , M. Leboyer , L. De Picker , O. Godin
{"title":"From biomarker to targeted action: transdiagnostic and sex-specific drivers of high-CRP status in severe mental illness","authors":"T. Rietberg , S. Barbosa , P. Meysman , M. Leboyer , L. De Picker , O. Godin","doi":"10.1016/j.nsa.2026.106890","DOIUrl":"10.1016/j.nsa.2026.106890","url":null,"abstract":"","PeriodicalId":100952,"journal":{"name":"Neuroscience Applied","volume":"5 ","pages":"Article 106890"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147991239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Neuroscience AppliedPub Date : 2026-01-01Epub Date: 2026-05-20DOI: 10.1016/j.nsa.2026.106907
R. Shepherd , R. Elliott , N. Muhlert , M. Komarnyckyj , M. Pierce
{"title":"Reward responsiveness in adolescence: longitudinal associations with early life adversity and resilience","authors":"R. Shepherd , R. Elliott , N. Muhlert , M. Komarnyckyj , M. Pierce","doi":"10.1016/j.nsa.2026.106907","DOIUrl":"10.1016/j.nsa.2026.106907","url":null,"abstract":"","PeriodicalId":100952,"journal":{"name":"Neuroscience Applied","volume":"5 ","pages":"Article 106907"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147991242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}