Selma Lugtmeijer, Edward H F de Haan, H Steven Scholte
{"title":"Reply: Lack of statistical significance is not evidence against modularity in visual feature processing.","authors":"Selma Lugtmeijer, Edward H F de Haan, H Steven Scholte","doi":"10.1093/brain/awaf364","DOIUrl":"10.1093/brain/awaf364","url":null,"abstract":"","PeriodicalId":9063,"journal":{"name":"Brain","volume":" ","pages":"e115-e118"},"PeriodicalIF":11.7,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145197588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fraser Aitken, Joel S Winston, Jonathan O'Muircheartaigh, David W Carmichael
Despite decades of development and clinical application, drug-resistant epilepsy occurs in 25%-30% of patients. One limiting factor in the success of antiseizure medications are challenges in mapping the neural effects of epilepsy drugs to seizure mechanisms in humans. Most antiseizure medications were developed in animal models and primarily target nano-scale structures like ion channels and receptors. However, they exert their effects and are typically measured in humans at the macro-scale using techniques like EEG and conventional functional MRI (fMRI). This disconnect between the mechanisms of pharmaceutical interventions and the clinical management of epilepsy leaves a critical gap in our understanding. This is because all seizures, even those of a generalized nature, appear to initiate in intermediate scale, local microcircuits and then propagate from that initial ictogenic zone. Invasive electrophysiological recordings in both animal models and humans have shown that one such microcircuit, cortical layers, and more specifically deep cortical layers, play a critical role in seizure generation in both generalized and focal epilepsies, serving as the critical link between nano-scale dysfunctions and the macro-scale activity observed in seizures. Laminar fMRI, a technique capable of resolving activity across cortical depths, offers a promising avenue to bridge this gap. By providing a non-invasive measure of laminar response alterations in humans, it could complement animal model and electrophysiological findings, offering novel insights into the layer-specific mechanisms of seizure generation and propagation in humans. This review discusses evidence for this concept, highlighting key findings from animal models and human intracranial recordings in this regard, and details how laminar fMRI may be able to refine our understanding of epilepsy at the microcircuit level. It concludes with a discussion regarding the possible role of laminar fMRI in improving surgical targeting for focal epilepsies, elucidating the mechanistic effects of antiseizure medications, and ultimately, targeting current and future epilepsy treatments.
{"title":"The potential of laminar functional MRI in refining the understanding of epilepsy in humans.","authors":"Fraser Aitken, Joel S Winston, Jonathan O'Muircheartaigh, David W Carmichael","doi":"10.1093/brain/awaf320","DOIUrl":"10.1093/brain/awaf320","url":null,"abstract":"<p><p>Despite decades of development and clinical application, drug-resistant epilepsy occurs in 25%-30% of patients. One limiting factor in the success of antiseizure medications are challenges in mapping the neural effects of epilepsy drugs to seizure mechanisms in humans. Most antiseizure medications were developed in animal models and primarily target nano-scale structures like ion channels and receptors. However, they exert their effects and are typically measured in humans at the macro-scale using techniques like EEG and conventional functional MRI (fMRI). This disconnect between the mechanisms of pharmaceutical interventions and the clinical management of epilepsy leaves a critical gap in our understanding. This is because all seizures, even those of a generalized nature, appear to initiate in intermediate scale, local microcircuits and then propagate from that initial ictogenic zone. Invasive electrophysiological recordings in both animal models and humans have shown that one such microcircuit, cortical layers, and more specifically deep cortical layers, play a critical role in seizure generation in both generalized and focal epilepsies, serving as the critical link between nano-scale dysfunctions and the macro-scale activity observed in seizures. Laminar fMRI, a technique capable of resolving activity across cortical depths, offers a promising avenue to bridge this gap. By providing a non-invasive measure of laminar response alterations in humans, it could complement animal model and electrophysiological findings, offering novel insights into the layer-specific mechanisms of seizure generation and propagation in humans. This review discusses evidence for this concept, highlighting key findings from animal models and human intracranial recordings in this regard, and details how laminar fMRI may be able to refine our understanding of epilepsy at the microcircuit level. It concludes with a discussion regarding the possible role of laminar fMRI in improving surgical targeting for focal epilepsies, elucidating the mechanistic effects of antiseizure medications, and ultimately, targeting current and future epilepsy treatments.</p>","PeriodicalId":9063,"journal":{"name":"Brain","volume":" ","pages":"4180-4197"},"PeriodicalIF":11.7,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12677026/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144942014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Foteini Moschovaki-Filippidou, Juliana de Carvalho Neves, Nadège Diedhiou, Yahya Jad, Johann Böhm, Matthew J A Wood, Miguel A Varela, Jocelyn Laporte
Centronuclear myopathies (CNM) are rare congenital disorders characterized by muscle weakness and disorganization of myofibres. These conditions can result from dominant mutations in the DNM2 gene encoding the GTPase dynamin, making them potential targets for antisense therapy. Preclinical studies suggested decreasing DNM2 as a therapy but a recent clinical trial with antisense oligonucleotides did not effectively address the disease and showed some non-muscle toxicity. Here, to promote DNM2 downregulation in muscle versus other tissues, we used an exon skipping peptide-conjugated phosphorodiamidate morpholino (PPMO) targeting Dnm2 exon 6 splicing in the Dnm2R369W/+ mouse model for the moderate CNM form. Intravenous administration of PPMOs at an early age (4 weeks) significantly downregulated intact (i.e. normally spliced) Dnm2 mRNA (∼50%) and DNM2 protein levels in muscle. This intervention led to a rescue of muscle force, thereby preventing disease progression. PPMO administration at a later age (8 weeks), when mice demonstrated established phenotypes, efficiently decreased intact Dnm2 mRNA and protein levels in muscle, resulting in reversal of the disease phenotype and significant improvement in muscle force (from 11 mN/mg to nearly 16 mN/mg). Overall, our results indicate that PPMOs targeting Dnm2 splicing effectively decrease intact Dnm2 mRNA and protein levels in muscle and rescue muscle force in Dnm2R369W/+ mice, suggesting a promising translational approach for patients with DNM2 mutations and potentially other forms of CNM. More generally, it provides the concept of using the exon skipping strategy to decrease the protein expression of a target gene, rather than producing a shorter functional protein as is generally done.
{"title":"Exon skipping peptide-conjugated morpholinos downregulate dynamin 2 to rescue centronuclear myopathy.","authors":"Foteini Moschovaki-Filippidou, Juliana de Carvalho Neves, Nadège Diedhiou, Yahya Jad, Johann Böhm, Matthew J A Wood, Miguel A Varela, Jocelyn Laporte","doi":"10.1093/brain/awaf249","DOIUrl":"10.1093/brain/awaf249","url":null,"abstract":"<p><p>Centronuclear myopathies (CNM) are rare congenital disorders characterized by muscle weakness and disorganization of myofibres. These conditions can result from dominant mutations in the DNM2 gene encoding the GTPase dynamin, making them potential targets for antisense therapy. Preclinical studies suggested decreasing DNM2 as a therapy but a recent clinical trial with antisense oligonucleotides did not effectively address the disease and showed some non-muscle toxicity. Here, to promote DNM2 downregulation in muscle versus other tissues, we used an exon skipping peptide-conjugated phosphorodiamidate morpholino (PPMO) targeting Dnm2 exon 6 splicing in the Dnm2R369W/+ mouse model for the moderate CNM form. Intravenous administration of PPMOs at an early age (4 weeks) significantly downregulated intact (i.e. normally spliced) Dnm2 mRNA (∼50%) and DNM2 protein levels in muscle. This intervention led to a rescue of muscle force, thereby preventing disease progression. PPMO administration at a later age (8 weeks), when mice demonstrated established phenotypes, efficiently decreased intact Dnm2 mRNA and protein levels in muscle, resulting in reversal of the disease phenotype and significant improvement in muscle force (from 11 mN/mg to nearly 16 mN/mg). Overall, our results indicate that PPMOs targeting Dnm2 splicing effectively decrease intact Dnm2 mRNA and protein levels in muscle and rescue muscle force in Dnm2R369W/+ mice, suggesting a promising translational approach for patients with DNM2 mutations and potentially other forms of CNM. More generally, it provides the concept of using the exon skipping strategy to decrease the protein expression of a target gene, rather than producing a shorter functional protein as is generally done.</p>","PeriodicalId":9063,"journal":{"name":"Brain","volume":" ","pages":"4495-4507"},"PeriodicalIF":11.7,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12677909/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144559048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Julie F H De Houwer,Elise G Dopper,Renee van Buuren,Marijke Stokkel,Liset de Boer,Tine Swartenbroekx,Pam A Boesjes,Ana Rajicic,Aitana Sogorb-Esteve,Arabella Bouzigues,Lucy L Russell,Phoebe H Foster,Eve Ferry-Bolder,John C van Swieten,Lize C Jiskoot,Raquel Sanchez-Valle,Robert Laforce,Caroline Graff,Daniela Galimberti,Rik Vandenberghe,Alexandre de Mendonça,Pietro Tiraboschi,Isabel Santana,Alexander Gerhard,Johannes Levin,Benedetta Nacmias,Markus Otto,Maxime Bertoux,Thibaud Lebouvier,Simon Ducharme,Chris R Butler,Isabelle Le Ber,Elizabeth Finger,Maria Carmela Tartaglia,Mario Masellis,James B Rowe,Matthis Synofzik,Fermin Moreno,Barbara Borroni,Henrik Zetterberg,Jonathan D Rohrer,Betty M Tijms,Yolande A L Pijnenburg,Charlotte Teunissen,Harro Seelaar
Fluid biomarkers to diagnose frontotemporal lobar degeneration (FTLD) are currently lacking. In this study, we aimed to identify proteomic changes in cerebrospinal fluid (CSF) associated with FTLD pathogenesis, focusing on signatures unique to different genetic groups. Additionally, we sought proteins distinguishing FTLD-spectrum disorders from controls. To this end, we measured a comprehensive library of over 2900 proteins in CSF using proximity extension assay technology in two well-characterized FTLD cohorts. The discovery cohort, selected from the GENFI cohort, included 47 symptomatic pathogenic variant carriers (22 C9orf72, 14 GRN, 10 MAPT and 1 TARDBP), 124 presymptomatic pathogenic variant carriers (55 C9orf72, 44 GRN, 24 MAPT and 1 TARDBP) and 57 healthy non-carriers. The validation cohort comprised individuals clinically diagnosed with an FTLD-spectrum disorder (n = 132) and cognitively intact controls (n = 32). We assessed differentially abundant proteins using linear regression, adjusting for age and sex. Overrepresentation analysis was conducted for the three genetic groups using Gene Ontology Biological Processes as ontology source. To develop diagnostic tools, we applied a LASSO regression, establishing two types of panels: one to distinguish individuals with an FTLD-spectrum disorder from controls (FTLD panel) and another to differentiate individuals with underlying TDP pathology from controls (TDP panel). We observed 23 dysregulated proteins in symptomatic carriers. Of these, four were also significantly dysregulated (NEFL, TPM3, MSLN and DNM3) in the validation cohort. When focusing on genetic subgroups, 63 upregulated proteins were observed in symptomatic MAPT carriers, with enriched biological pathways linked to immune function. In symptomatic C9orf72 carriers, four proteins - related to energy metabolism - were upregulated. When limiting symptomatic carriers to GRN, six proteins were dysregulated, with enriched pathways involved in neuronal development and projection. Notably, NEFL and TPM3 were consistently significant in all comparisons across both cohorts. We developed two diagnostic panels: one for FTLD and one for FTLD-TDP. The FTLD panel consisted of six proteins (NEFL, RBFOX3, NPTX1, TFF1, ENTPD5, and CNP). The TDP panel was made up of seven proteins (NEFL, RBFOX3, CBLN4, ENTPD5, CCL25, CNP, and MMP1). Both panels were successfully replicated in the validation cohort (AUC of 0.94 and 0.96 respectively). This study highlights distinct proteomic signatures across FTLD genetic subgroups and their associated pathologies using a targeted proteomic approach. Additionally, we present two diagnostic panels-comprising both established and novel proteins-that effectively differentiate individuals with FTLD-spectrum disorders from healthy controls, offering promising avenues for improved clinical diagnosis.
{"title":"Distinct proteomic CSF profiles in genetic frontotemporal lobar degeneration.","authors":"Julie F H De Houwer,Elise G Dopper,Renee van Buuren,Marijke Stokkel,Liset de Boer,Tine Swartenbroekx,Pam A Boesjes,Ana Rajicic,Aitana Sogorb-Esteve,Arabella Bouzigues,Lucy L Russell,Phoebe H Foster,Eve Ferry-Bolder,John C van Swieten,Lize C Jiskoot,Raquel Sanchez-Valle,Robert Laforce,Caroline Graff,Daniela Galimberti,Rik Vandenberghe,Alexandre de Mendonça,Pietro Tiraboschi,Isabel Santana,Alexander Gerhard,Johannes Levin,Benedetta Nacmias,Markus Otto,Maxime Bertoux,Thibaud Lebouvier,Simon Ducharme,Chris R Butler,Isabelle Le Ber,Elizabeth Finger,Maria Carmela Tartaglia,Mario Masellis,James B Rowe,Matthis Synofzik,Fermin Moreno,Barbara Borroni,Henrik Zetterberg,Jonathan D Rohrer,Betty M Tijms,Yolande A L Pijnenburg,Charlotte Teunissen,Harro Seelaar","doi":"10.1093/brain/awaf457","DOIUrl":"https://doi.org/10.1093/brain/awaf457","url":null,"abstract":"Fluid biomarkers to diagnose frontotemporal lobar degeneration (FTLD) are currently lacking. In this study, we aimed to identify proteomic changes in cerebrospinal fluid (CSF) associated with FTLD pathogenesis, focusing on signatures unique to different genetic groups. Additionally, we sought proteins distinguishing FTLD-spectrum disorders from controls. To this end, we measured a comprehensive library of over 2900 proteins in CSF using proximity extension assay technology in two well-characterized FTLD cohorts. The discovery cohort, selected from the GENFI cohort, included 47 symptomatic pathogenic variant carriers (22 C9orf72, 14 GRN, 10 MAPT and 1 TARDBP), 124 presymptomatic pathogenic variant carriers (55 C9orf72, 44 GRN, 24 MAPT and 1 TARDBP) and 57 healthy non-carriers. The validation cohort comprised individuals clinically diagnosed with an FTLD-spectrum disorder (n = 132) and cognitively intact controls (n = 32). We assessed differentially abundant proteins using linear regression, adjusting for age and sex. Overrepresentation analysis was conducted for the three genetic groups using Gene Ontology Biological Processes as ontology source. To develop diagnostic tools, we applied a LASSO regression, establishing two types of panels: one to distinguish individuals with an FTLD-spectrum disorder from controls (FTLD panel) and another to differentiate individuals with underlying TDP pathology from controls (TDP panel). We observed 23 dysregulated proteins in symptomatic carriers. Of these, four were also significantly dysregulated (NEFL, TPM3, MSLN and DNM3) in the validation cohort. When focusing on genetic subgroups, 63 upregulated proteins were observed in symptomatic MAPT carriers, with enriched biological pathways linked to immune function. In symptomatic C9orf72 carriers, four proteins - related to energy metabolism - were upregulated. When limiting symptomatic carriers to GRN, six proteins were dysregulated, with enriched pathways involved in neuronal development and projection. Notably, NEFL and TPM3 were consistently significant in all comparisons across both cohorts. We developed two diagnostic panels: one for FTLD and one for FTLD-TDP. The FTLD panel consisted of six proteins (NEFL, RBFOX3, NPTX1, TFF1, ENTPD5, and CNP). The TDP panel was made up of seven proteins (NEFL, RBFOX3, CBLN4, ENTPD5, CCL25, CNP, and MMP1). Both panels were successfully replicated in the validation cohort (AUC of 0.94 and 0.96 respectively). This study highlights distinct proteomic signatures across FTLD genetic subgroups and their associated pathologies using a targeted proteomic approach. Additionally, we present two diagnostic panels-comprising both established and novel proteins-that effectively differentiate individuals with FTLD-spectrum disorders from healthy controls, offering promising avenues for improved clinical diagnosis.","PeriodicalId":9063,"journal":{"name":"Brain","volume":"29 1","pages":""},"PeriodicalIF":14.5,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145664344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anthony Feinstein, Amit Bar-Or, Ralph H B Benedict, Massimo Filippi, David E Freedman, Anne Kever, Cecilia Meza, Maria A Rocca
Depression in people with multiple sclerosis (MS) is two to three times more frequent than in demographically matched people without MS. The MS-depression literature is large and has expanded exponentially over the past few years. This increase in new knowledge is the impetus for assessing whether there is now sufficient evidence to differentiate depression linked to multiple sclerosis from depression alone. Establishing the validity of MS-depression as a distinct diagnosis is important because it would enhance our understanding of the pathogenesis of depression in general, shed light on a clinical course that might diverge from what is expected from depression without MS, and suggest management strategies that may differ from those followed for people with depression alone. A review of the MS-depression literature from January 2018 to December 2024 (generating 114 papers for inclusion in the manuscript) reveals no unique, distinct MS-depression phenomenology. The factors encompassing predictive validity, namely the course of depression, employment, suicide, cognitive impairment and quality of life, are similar in kind but not severity between depressed people with and without MS. The paucity of randomized controlled trial psychotropic data in MS-related depression means it is unclear whether medication plus psychotherapy is the best treatment option for people with MS who are depressed, as it is in general population samples. In terms of construct validity, the posited immune signature of MS depression, namely an increased frequency of circulating CD4+CCR7low central memory T cells with a Th1 predilection, does not appear to be distinct from depression in the general population. There is considerable neuroimaging commonality, particularly in limbic regional involvement. The potential importance of the dopamine-rich ventral tegmental area in a putative MS depression neural circuit suggests a degree of specificity, but the absence of direct comparison between depressed people with and without MS hinders a more definite conclusion. As for personality factors and socio-economic status in depressed people with MS, the findings essentially overlap with the depression literature in the general population. There are, however, a couple of standout constructs suggesting the possibility of two distinct disorders: the equivocal data pertaining to a specific MS genetic diathesis to depression and the absence of a clear sex difference in depressed people with MS. Until these conundrums are explained, one cannot conclude with certainty that depression in people with and without MS is the same disorder. Further research comparing depressed people with and without MS is needed to understand why this difference may exist.
{"title":"Is multiple sclerosis-related depression different from depression in general? The data for and against.","authors":"Anthony Feinstein, Amit Bar-Or, Ralph H B Benedict, Massimo Filippi, David E Freedman, Anne Kever, Cecilia Meza, Maria A Rocca","doi":"10.1093/brain/awaf319","DOIUrl":"10.1093/brain/awaf319","url":null,"abstract":"<p><p>Depression in people with multiple sclerosis (MS) is two to three times more frequent than in demographically matched people without MS. The MS-depression literature is large and has expanded exponentially over the past few years. This increase in new knowledge is the impetus for assessing whether there is now sufficient evidence to differentiate depression linked to multiple sclerosis from depression alone. Establishing the validity of MS-depression as a distinct diagnosis is important because it would enhance our understanding of the pathogenesis of depression in general, shed light on a clinical course that might diverge from what is expected from depression without MS, and suggest management strategies that may differ from those followed for people with depression alone. A review of the MS-depression literature from January 2018 to December 2024 (generating 114 papers for inclusion in the manuscript) reveals no unique, distinct MS-depression phenomenology. The factors encompassing predictive validity, namely the course of depression, employment, suicide, cognitive impairment and quality of life, are similar in kind but not severity between depressed people with and without MS. The paucity of randomized controlled trial psychotropic data in MS-related depression means it is unclear whether medication plus psychotherapy is the best treatment option for people with MS who are depressed, as it is in general population samples. In terms of construct validity, the posited immune signature of MS depression, namely an increased frequency of circulating CD4+CCR7low central memory T cells with a Th1 predilection, does not appear to be distinct from depression in the general population. There is considerable neuroimaging commonality, particularly in limbic regional involvement. The potential importance of the dopamine-rich ventral tegmental area in a putative MS depression neural circuit suggests a degree of specificity, but the absence of direct comparison between depressed people with and without MS hinders a more definite conclusion. As for personality factors and socio-economic status in depressed people with MS, the findings essentially overlap with the depression literature in the general population. There are, however, a couple of standout constructs suggesting the possibility of two distinct disorders: the equivocal data pertaining to a specific MS genetic diathesis to depression and the absence of a clear sex difference in depressed people with MS. Until these conundrums are explained, one cannot conclude with certainty that depression in people with and without MS is the same disorder. Further research comparing depressed people with and without MS is needed to understand why this difference may exist.</p>","PeriodicalId":9063,"journal":{"name":"Brain","volume":" ","pages":"4210-4221"},"PeriodicalIF":11.7,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145538228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Apathy in older age: why it might signal neurodegeneration.","authors":"Masud Husain","doi":"10.1093/brain/awaf333","DOIUrl":"https://doi.org/10.1093/brain/awaf333","url":null,"abstract":"","PeriodicalId":9063,"journal":{"name":"Brain","volume":"124 1","pages":"4143-4144"},"PeriodicalIF":14.5,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145673656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sean Chang, Christelle El Haj, Jan Mulder, Lipin Loo, Asheeta A Prasad
Over the past century, studying the human brain has been one of the most complex and enduring biological challenges. Initial approaches, ranging from gross neural anatomy to cellular subtype organization, have significantly advanced our understanding of the intricate structure of the human brain. Recent innovations in spatial transcriptomic technologies offer high-resolution insights into mRNA expression at single-cell or even subcellular resolution. Developing a greater understanding of the spatial expression of genes in specific cell types in the human brain can provide additional insights into their functions and underlying mechanisms that influence neurological disease states. Whilst these tools have been highly successful in rodent and non-human primate brains, analysis of the human brain has several specific challenges. In this review, we first provide a comparison of spatial transcriptomics tools, followed by a summary of studies using these tools in human brains, and finally, discuss the challenges and opportunities associated. The guidelines should enable researchers to address the challenges of using new spatial transcriptomics technologies to analyse complex organs like the human brain.
{"title":"Exploring the human brain: spatial transcriptomics challenges and approaches in post-mortem analysis","authors":"Sean Chang, Christelle El Haj, Jan Mulder, Lipin Loo, Asheeta A Prasad","doi":"10.1093/brain/awaf452","DOIUrl":"https://doi.org/10.1093/brain/awaf452","url":null,"abstract":"Over the past century, studying the human brain has been one of the most complex and enduring biological challenges. Initial approaches, ranging from gross neural anatomy to cellular subtype organization, have significantly advanced our understanding of the intricate structure of the human brain. Recent innovations in spatial transcriptomic technologies offer high-resolution insights into mRNA expression at single-cell or even subcellular resolution. Developing a greater understanding of the spatial expression of genes in specific cell types in the human brain can provide additional insights into their functions and underlying mechanisms that influence neurological disease states. Whilst these tools have been highly successful in rodent and non-human primate brains, analysis of the human brain has several specific challenges. In this review, we first provide a comparison of spatial transcriptomics tools, followed by a summary of studies using these tools in human brains, and finally, discuss the challenges and opportunities associated. The guidelines should enable researchers to address the challenges of using new spatial transcriptomics technologies to analyse complex organs like the human brain.","PeriodicalId":9063,"journal":{"name":"Brain","volume":"156 1","pages":""},"PeriodicalIF":14.5,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145680120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Joshua Laß, Michele Berselli, Doug Rioux, Susen Schaake, Jordan Follett, Jonathan E Bravo, Alexander D Veit, William Ronchetti, Sarah B Reiff, Matthew J Huentelman, Dana Vuzman, Pamela Bower, Vikram Khurana, Joanne Trinh, Beomseok Jeon, Han-Joon Kim, Matthew J Farrer
{"title":"Genetic testing for SCA27B in Korean multiple system atrophy.","authors":"Joshua Laß, Michele Berselli, Doug Rioux, Susen Schaake, Jordan Follett, Jonathan E Bravo, Alexander D Veit, William Ronchetti, Sarah B Reiff, Matthew J Huentelman, Dana Vuzman, Pamela Bower, Vikram Khurana, Joanne Trinh, Beomseok Jeon, Han-Joon Kim, Matthew J Farrer","doi":"10.1093/brain/awaf263","DOIUrl":"10.1093/brain/awaf263","url":null,"abstract":"","PeriodicalId":9063,"journal":{"name":"Brain","volume":" ","pages":"e109-e111"},"PeriodicalIF":11.7,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12677904/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144648475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andrew Y Revell, Marc Jaskir, Alfredo Lucas, Alexander B Silva, Dhanya Mahesh, Lena Armstrong, T Campbell Arnold, John M Bernabei, Ezequiel Gleichgerrcht, Leonardo Bonilha, Joel M Stein, Sandhitsu R Das, Russell T Shinohara, Dani S Bassett, Brian Litt, Kathryn A Davis
The brain’s white matter is a dynamic and active tissue which coordinates brain function through the transmission and modulation of information between regions via action potentials. While scientific and clinical interest in studying white matter via diffusion imaging has grown rapidly, an electrophysiologic understanding of white matter in healthy and disease states remains elusive. And although human white matter recordings are acquired in intracranial EEG studies in epilepsy, clinical evaluation typically focuses on gray matter structures to understand seizure generation and plan surgical intervention despite the role of white matter in coordinating and propagating epileptic activity. Here, we study white matter recordings in 29 patients with drug-resistant epilepsy who underwent stereo EEG for surgical evaluation. We elucidate properties of both electrical activity and network connectivity within white matter and its relationship to cortical connectivity. We further integrate tractography and stereo EEG recordings to demonstrate that our observed white matter dynamics reflect underlying structural connectivity patterns between gray matter structures, emphasizing white matter’s role in information transmission during seizures. Finally, we find that increased white matter connectivity to the presumed seizure onset zone is associated with poor surgical outcome after epilepsy surgery. Our findings support the ‘The Distributed Epileptic Network Hypothesis’, which states that the true seizure onset zone is not a single focal anatomical location per se (in some cases), but rather a distributed epileptic network where many brain regions interact together, allowing a patient to enter a seizure state. Therefore, we propose that white matter electrophysiology and connectivity may represent information on the spatial distribution of epilepsy and thus its amenability to intervention, whether through focal ablation or modulation through devices. Overall, white matter functional recordings may provide a wealth of currently untapped knowledge about the neurobiology of disease and could guide clinical decision making in treating drug-resistant epilepsy patients.
{"title":"White matter signals reflect information transmission between brain regions during seizures","authors":"Andrew Y Revell, Marc Jaskir, Alfredo Lucas, Alexander B Silva, Dhanya Mahesh, Lena Armstrong, T Campbell Arnold, John M Bernabei, Ezequiel Gleichgerrcht, Leonardo Bonilha, Joel M Stein, Sandhitsu R Das, Russell T Shinohara, Dani S Bassett, Brian Litt, Kathryn A Davis","doi":"10.1093/brain/awaf444","DOIUrl":"https://doi.org/10.1093/brain/awaf444","url":null,"abstract":"The brain’s white matter is a dynamic and active tissue which coordinates brain function through the transmission and modulation of information between regions via action potentials. While scientific and clinical interest in studying white matter via diffusion imaging has grown rapidly, an electrophysiologic understanding of white matter in healthy and disease states remains elusive. And although human white matter recordings are acquired in intracranial EEG studies in epilepsy, clinical evaluation typically focuses on gray matter structures to understand seizure generation and plan surgical intervention despite the role of white matter in coordinating and propagating epileptic activity. Here, we study white matter recordings in 29 patients with drug-resistant epilepsy who underwent stereo EEG for surgical evaluation. We elucidate properties of both electrical activity and network connectivity within white matter and its relationship to cortical connectivity. We further integrate tractography and stereo EEG recordings to demonstrate that our observed white matter dynamics reflect underlying structural connectivity patterns between gray matter structures, emphasizing white matter’s role in information transmission during seizures. Finally, we find that increased white matter connectivity to the presumed seizure onset zone is associated with poor surgical outcome after epilepsy surgery. Our findings support the ‘The Distributed Epileptic Network Hypothesis’, which states that the true seizure onset zone is not a single focal anatomical location per se (in some cases), but rather a distributed epileptic network where many brain regions interact together, allowing a patient to enter a seizure state. Therefore, we propose that white matter electrophysiology and connectivity may represent information on the spatial distribution of epilepsy and thus its amenability to intervention, whether through focal ablation or modulation through devices. Overall, white matter functional recordings may provide a wealth of currently untapped knowledge about the neurobiology of disease and could guide clinical decision making in treating drug-resistant epilepsy patients.","PeriodicalId":9063,"journal":{"name":"Brain","volume":"41 1","pages":""},"PeriodicalIF":14.5,"publicationDate":"2025-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145664513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}