Two major health conditions appear to share a connection. Multiple sclerosis (MS), a disease which eats away at the body’s central nervous system, affects millions of people globally and depression, a mood disorder with debilitating symptoms, affects hundreds of millions of people globally. Patients with MS are at nearly three times the risk for depression than the general population. Exactly how and why MS and depression are related has remained unclear until a new study by investigators from Brigham and Women’s Hospital, a founding member of the Mass General Brigham healthcare system, addressed this gap in understanding. Utilizing a recent study that outlined a depression circuit in the brain, the team attempted to localize MS depression, comparing lesion sites in the brains of MS patients to lesion sites in this previously described circuit and finding new connections and potential therapeutic targets. Their results are published in Nature Mental Health.
“If we want to find specific locations of brain damage that cause specific symptoms, it sometimes works, but only for simpler brain functions like vision or movement. When it comes functions like those associated with depression, it’s not that simple,” said corresponding author Shan Siddiqi, MD, an assistant professor of psychiatry at Harvard Medical School and director of psychiatric neuromodulation research at Brigham and Women’s Center for Brain Circuit Therapeutics. “When a patient has lesions all over the brain, we used to assume they were unrelated to depression, because they seemed so disconnected. But with lesion network mapping (LNM), we can see even when lesions don’t directly overlap with each other, they may overlap with the same circuit.”
While many clinicians have assumed that certain lesions were more likely to cause depression in MS, it had never been proven before, and neither had a specific pattern that connected those lesions. LNM is fundamental in seeing such a pattern for depression, since LNM allows researchers to envision networks of connectivity rather than just solitary sites of damage. In a 2021 study, the same Brigham team identified a common brain circuit — which connected seemingly disparate brain lesion sites — for patients that experienced depression after stroke or penetrating head trauma. The team set out to determine if MS lesions and depression could be connected through this new circuit.
To conduct their study, Siddiqi, co-first author Isaiah Kletenik, MD, and co-authors relied on a database of 281 patients with MS which has been curated by Drs. Tanuja Chitnis, Bonnie Glanz, and Rohit Bakshi of the Brigham Multiple Sclerosis Center in the Department of Neurology. Dr. Charles Guttmann and his team in the Brigham Center for Neurological Imaging in the Department of Radiology developed a virtual laboratory environment that allows systematic collection and analysis of MRI and clinical data, which greatly facilitated this work. Drs. Guttmann and Bakshi also collaborated to develop an automated lesion detection and outlining protocol, allowing the researchers to locate lesions with relative ease. For each patient, estimated connectivity between lesion locations was determined using a connectome database, a large-scale wiring diagram of the human brain which has been made possible by initiatives such at the Human Connectome Project. Using the connectome database and LNM, the team found significant functional connectivity between MS lesion locations and their a priori depression circuit. Additionally, the data-driven circuit for MS depression showed similar topography to the a priori depression circuit. Together, these findings provide novel localization of MS depression.
While offering important insight into MS depression, the study had a few key limitations. All patient history was unknown, meaning, on top of other potentially unknown histories, some patients may have had depression prior to MS. Additionally, the sample size — albeit the largest so-far of its kind — was limited. The next step is clinical trials, as this novel localization of MS depression enables a host of possibilities for therapeutic targeting.
“The more we know about the connectivity of lesions that cause symptoms, the better our ability to target an ideal stimulation site for those symptoms,” said Siddiqi. “We’ve already shown the success of targeting our a priori depression circuit in other patients. Now that we’ve shown that the circuit can be applied to MS depression, we should be able to find a treatment target for these patients, too.”
Disclosures: SHS and MDF are scientific consultants for Magnus Medical. SHS is a clinical consultant for Acacia Mental Health, Kaizen Brain Center, and Boston Precision Neurotherapeutics. SHS and MDF have jointly received investigator-initiated research funding from Neuronetics. SHS has served as a speaker for Brainsway and PsychU.org (unbranded, sponsored by Otsuka). SHS and MDF independently own intellectual property involving the use of functional connectivity to target TMS. RB has received consulting fees from Bristol-Myers Squibb and EMD Serono and research support from Bristol-Myers Squibb, EMD Serono, and Novartis. Charles R.G. Guttmann has received research funding from Sanofi, the National Multiple Sclerosis Society, the International Progressive Multiple Sclerosis Alliance, the US Office for Naval Research, NIH, the Focused Ultrasound Foundation, Bristol Myers Squibb/Celgene as well as travel support from Roche Pharmaceuticals; and owns stock in Roche, Novartis, GSK, Alnylam, Protalix Biotherapeutics, Arrowhead Pharmaceuticals, Cocrystal Pharma, and Sangamo Therapeutics. Bonnie Glanz has received support from Verily Life Sciences and Merck Serono. None of these entities were involved in the present work. The remaining authors have no conflicts of interest to declare.
Funding: The SysteMS study was funded by Verily Life Sciences. The present analysis was supported by the Brain & Behavior Research Foundation (SHS), the Baszucki Family Foundation (SHS and MDF), and the National Institute of Mental Health (grant no. K23MH121657 to SHS.; grant nos. R01MH113929 and R01MH115949 to MDF).
Paper cited: Shan Siddiqi and Isaiah Kletenik, et al. “Lesion network localization of depression in multiple sclerosis” Nature Mental Health DOI: 10.1038/s44220-022-00002-y
