Research interests

Research specializing in Mental health, cognitive neuropsychology and neuroimaging. Published research on brain-related disorders including affective disorders (bipolar disorder and major depressive disorder), psychosis, attention deficit hyperactivity disorder (ADHD), Autism Spectrum disorders (ASD), dyslexia, Alzheimer's disease, borderline personality disorder.

Our research has focused on integrating neuropsychological measures, cognitive measures, and neuroimaging techniques with genetic and developmental data, comprised of neurological patients, psychiatric patients, and control subjects. We have also examined the efficacy of treatments (Medical and psychological) for major mental health conditions.

For more information on ongoing research, contact us.

Recent Research

Dr Jogia is editing a Frontiers in psychiatry special issue exploring Recent Developments in Neuroimaging in Mood Disorders

Dr. Jogia together with colleagues from the Al Jailia children's hospital Dubai and the Mohammed Bin Rashid University Of Medicine and Health Sciences published the largest study in the region evaluating comorbidities among children diagnosed with ADHD.

Dr Jogia writes about the Use of Art Therapy in Alleviating Mental Health Symptoms in Refugees: A Literature Review.

New teaching and pedagogy research looks at Undergraduate teaching assistantships: exploring career readiness and relationality among Emirati students.

Dr. Jogia published the first studies to assess Lamotrigine (LTG) monotherapy in bipolar disorder. The results of these studies provide evidence for the ‘normalisation’ effect LTG may have on key prefrontal regions associated with emotional self-regulation - akin to what has been observed with successful remission of depression.

Another of Dr. Jogia's recent studies provided the first formal evidence of a disease-specific influence of the CACNA1C (rs1006737) genotype on brain function. This influence was found to be present in the ventral lateral prefrontal cortex (PFC) during emotional processing in bipolar patients carrying the risk allele, but absent in unaffected relatives.

A recent study published by Dr. Jogia was the first study to use pattern recognition (a form of machine learning) for the diagnostic classification of patients with bipolar disorder based on neuroanatomical data. Being able to identify and differentiate disorders based on neurobiology is regarded as the “Holy Grail” within psychiatric research; this project, therefore, was a significant advancement. This technique can also be used to investigate the efficacy of drug therapy on brain-related disorders.

A full summary of Dr. Jogia's research can also be found on ResearchGate here or ORCID here.